{ "cells": [ { "cell_type": "markdown", "source": [ "# Comparitive Analysis of Deep Learning Models for Forecasting Volatility of S&P 500 using Sentiment Analysis and Explainability." ], "metadata": { "id": "0Quj5dsmN30s" } }, { "cell_type": "markdown", "source": [ "**Student Name : Teja Vamsi Devalla** \n", "**Student ID : 2505091**\n" ], "metadata": { "id": "hGZ5pgT8YVZK" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "twKRUQ6iBxTV" }, "outputs": [], "source": [ "# Installing all the required packages.\n", "\n", "!pip install -q yfinance # yahoo finance for getting S&P 500 and VIX data\n", "!pip install -q arch # For GARCH volatility model.\n", "!pip install -q tensorflow # For deep learning models CNN, GRU, LSTM, BiLSTM, PatchTST, TFT.\n", "!pip install -q scikit-learn # For scaling , train/test and metrics.\n", "!pip install -q torch # For backend of FinBERT sentiment model\n", "!pip install -q transformers # For FinBERT tokenizer, model and pipeline\n", "!pip install -q shap # For SHAP explainability\n", "!pip install -q lime # For LIME explainability\n", "!pip install -q pandas numpy matplotlib seaborn scipy # For data and plotting" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Y2I1DGyWL9tL" }, "outputs": [], "source": [ "# Importing all the required imports\n", "\n", "# Imports for data handling\n", "import numpy as np\n", "import pandas as pd\n", "import re\n", "\n", "# Imports for plotting\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "# Imports for data source\n", "import yfinance as yf\n", "\n", "# Imports for preprocessing and metrics\n", "from sklearn.preprocessing import StandardScaler, MinMaxScaler\n", "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n", "from scipy import stats\n", "\n", "# Importing volatility modeling for traditional\n", "from arch import arch_model\n", "\n", "# Import deep learning - TensorFlow and Keras\n", "import tensorflow as tf\n", "from tensorflow.keras.models import Sequential, Model\n", "from tensorflow.keras.layers import (\n", " Input, Dense, Dropout, BatchNormalization, LayerNormalization,\n", " Conv1D, MaxPooling1D, GlobalAveragePooling1D, SpatialDropout1D, ReLU, Flatten,\n", " LSTM, GRU, Bidirectional,\n", " MultiHeadAttention, Add, Multiply\n", ")\n", "from tensorflow.keras.regularizers import l2\n", "from tensorflow.keras.optimizers import Adam\n", "from tensorflow.keras.callbacks import EarlyStopping, ReduceLROnPlateau, ModelCheckpoint\n", "\n", "# Imports for sentiment analysis for FinBERT model\n", "import torch\n", "from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline\n", "\n", "# Import for explainability techniques - shap and LIME\n", "import shap\n", "from lime.lime_tabular import LimeTabularExplainer\n", "\n", "# Importing drive used to mount the drive and get data from google drive\n", "from google.colab import drive\n", "\n", "# Same seed is used everywhere so all models get same starting conditions.\n", "tf.keras.utils.set_random_seed(42)" ] }, { "cell_type": "markdown", "metadata": { "id": "tQOhSK1uIzC3" }, "source": [ "## getting finance data and engineering required features" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 286 }, "id": "UkWeYnNiLy9L", "outputId": "6ed7d3fa-5ce4-46f4-b79c-78c0d3991f39" }, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "[*********************100%***********************] 2 of 2 completed\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "Price Adj Close Close High \\\n", "Ticker ^GSPC ^VIX ^GSPC ^VIX ^GSPC \n", "Date \n", "2008-01-02 1447.160034 23.170000 1447.160034 23.170000 1471.770020 \n", "2008-01-03 1447.160034 22.490000 1447.160034 22.490000 1456.800049 \n", "2008-01-04 1411.630005 23.940001 1411.630005 23.940001 1444.010010 \n", "2008-01-07 1416.180054 23.790001 1416.180054 23.790001 1423.869995 \n", "2008-01-08 1390.189941 25.430000 1390.189941 25.430000 1430.280029 \n", "\n", "Price Low Open \\\n", "Ticker ^VIX ^GSPC ^VIX ^GSPC ^VIX \n", "Date \n", "2008-01-02 24.049999 1442.069946 22.400000 1467.969971 22.580000 \n", "2008-01-03 23.270000 1443.729980 22.110001 1447.550049 23.110001 \n", "2008-01-04 24.299999 1411.189941 23.250000 1444.010010 23.500000 \n", "2008-01-07 24.879999 1403.449951 23.299999 1414.069946 24.620001 \n", "2008-01-08 25.600000 1388.300049 22.629999 1415.709961 23.270000 \n", "\n", "Price Volume \n", "Ticker ^GSPC ^VIX \n", "Date \n", "2008-01-02 3452650000 0 \n", "2008-01-03 3429500000 0 \n", "2008-01-04 4166000000 0 \n", "2008-01-07 4221260000 0 \n", "2008-01-08 4705390000 0 " ], "text/html": [ "\n", "
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PriceAdj CloseCloseHighLowOpenVolume
Ticker^GSPC^VIX^GSPC^VIX^GSPC^VIX^GSPC^VIX^GSPC^VIX^GSPC^VIX
Date
2008-01-021447.16003423.1700001447.16003423.1700001471.77002024.0499991442.06994622.4000001467.96997122.58000034526500000
2008-01-031447.16003422.4900001447.16003422.4900001456.80004923.2700001443.72998022.1100011447.55004923.11000134295000000
2008-01-041411.63000523.9400011411.63000523.9400011444.01001024.2999991411.18994123.2500001444.01001023.50000041660000000
2008-01-071416.18005423.7900011416.18005423.7900011423.86999524.8799991403.44995123.2999991414.06994624.62000142212600000
2008-01-081390.18994125.4300001390.18994125.4300001430.28002925.6000001388.30004922.6299991415.70996123.27000047053900000
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\"std\": 9.26202214551277,\n \"min\": 9.140000343322754,\n \"max\": 82.69000244140625,\n \"num_unique_values\": 1963,\n \"samples\": [\n 15.960000038146973,\n 12.9399995803833,\n 26.079999923706055\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"Close\",\n \"^GSPC\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1137.0320579793038,\n \"min\": 676.530029296875,\n \"max\": 5137.080078125,\n \"num_unique_values\": 4046,\n \"samples\": [\n 3818.800048828125,\n 1296.3199462890625,\n 2798.030029296875\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"Close\",\n \"^VIX\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 9.26202214551277,\n \"min\": 9.140000343322754,\n \"max\": 82.69000244140625,\n \"num_unique_values\": 1963,\n \"samples\": [\n 15.960000038146973,\n 12.9399995803833,\n 26.079999923706055\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"High\",\n \"^GSPC\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1142.2585536183285,\n \"min\": 695.27001953125,\n \"max\": 5140.330078125,\n \"num_unique_values\": 4033,\n \"samples\": [\n 1362.3399658203125,\n 1082.6199951171875,\n 1090.0999755859375\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"High\",\n \"^VIX\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 10.00482913547841,\n \"min\": 9.3100004196167,\n \"max\": 89.52999877929688,\n \"num_unique_values\": 2018,\n \"samples\": [\n 20.610000610351562,\n 34.16999816894531,\n 24.760000228881836\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"Low\",\n \"^GSPC\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1130.988895222081,\n \"min\": 666.7899780273438,\n \"max\": 5094.16015625,\n \"num_unique_values\": 4042,\n \"samples\": [\n 4682.10986328125,\n 1276.0,\n 1834.93994140625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"Low\",\n \"^VIX\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 8.584899105543789,\n \"min\": 8.5600004196167,\n \"max\": 72.76000213623047,\n \"num_unique_values\": 1896,\n \"samples\": [\n 16.479999542236328,\n 18.350000381469727,\n 12.300000190734863\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"Open\",\n \"^GSPC\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1136.6416103013123,\n \"min\": 679.280029296875,\n \"max\": 5100.919921875,\n \"num_unique_values\": 4037,\n \"samples\": [\n 3234.27001953125,\n 1283.989990234375,\n 1913.0699462890625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"Open\",\n \"^VIX\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 9.31426138116859,\n \"min\": 9.010000228881836,\n \"max\": 82.69000244140625,\n \"num_unique_values\": 1940,\n \"samples\": [\n 12.329999923706055,\n 23.170000076293945,\n 21.1299991607666\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"Volume\",\n \"^GSPC\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1121933733,\n \"min\": 0,\n \"max\": 11456230000,\n \"num_unique_values\": 4008,\n \"samples\": [\n 4241100000,\n 4293180000,\n 5103980000\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": [\n \"Volume\",\n \"^VIX\"\n ],\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 0,\n \"num_unique_values\": 1,\n \"samples\": [\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 299 } ], "source": [ "# downloading financial data of S&P 500 and vix from yfinance\n", "# ^GSPC is ticker for S&P 500 index and ^VIX is ticker for CBOE volatility index\n", "# Start and end date matched to news dataset dates.\n", "\n", "\n", "data = yf.download(\n", " [\"^GSPC\", \"^VIX\"],\n", " start=\"2008-01-02\",\n", " end=\"2024-03-04\",\n", " auto_adjust=False\n", ")\n", "\n", "data.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "5gGjXHbnNTKv", "outputId": "6c86dd8f-a5ff-4591-989f-a45beb2ef428" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "MultiIndex([('Adj Close', '^GSPC'),\n", " ('Adj Close', '^VIX'),\n", " ( 'Close', '^GSPC'),\n", " ( 'Close', '^VIX'),\n", " ( 'High', '^GSPC'),\n", " ( 'High', '^VIX'),\n", " ( 'Low', '^GSPC'),\n", " ( 'Low', '^VIX'),\n", " ( 'Open', '^GSPC'),\n", " ( 'Open', '^VIX'),\n", " ( 'Volume', '^GSPC'),\n", " ( 'Volume', '^VIX')],\n", " names=['Price', 'Ticker'])" ] }, "metadata": {}, "execution_count": 300 } ], "source": [ "data.columns" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 238 }, "id": 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PriceOpenHighLowCloseVolume
Date
2008-01-021467.9699711471.7700201442.0699461447.1600343452650000
2008-01-031447.5500491456.8000491443.7299801447.1600343429500000
2008-01-041444.0100101444.0100101411.1899411411.6300054166000000
2008-01-071414.0699461423.8699951403.4499511416.1800544221260000
2008-01-081415.7099611430.2800291388.3000491390.1899414705390000
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "sp500", "summary": "{\n \"name\": \"sp500\",\n \"rows\": 4069,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2008-01-02 00:00:00\",\n \"max\": \"2024-03-01 00:00:00\",\n \"num_unique_values\": 4069,\n \"samples\": [\n \"2022-09-19 00:00:00\",\n \"2021-06-01 00:00:00\",\n \"2013-10-15 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Open\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1136.6416103013123,\n \"min\": 679.280029296875,\n \"max\": 5100.919921875,\n \"num_unique_values\": 4037,\n \"samples\": [\n 3234.27001953125,\n 1283.989990234375,\n 1913.0699462890625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"High\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1142.2585536183285,\n \"min\": 695.27001953125,\n \"max\": 5140.330078125,\n \"num_unique_values\": 4033,\n \"samples\": [\n 1362.3399658203125,\n 1082.6199951171875,\n 1090.0999755859375\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Low\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1130.988895222081,\n \"min\": 666.7899780273438,\n \"max\": 5094.16015625,\n \"num_unique_values\": 4042,\n \"samples\": [\n 4682.10986328125,\n 1276.0,\n 1834.93994140625\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Close\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1137.0320579793038,\n \"min\": 676.530029296875,\n \"max\": 5137.080078125,\n \"num_unique_values\": 4046,\n \"samples\": [\n 3818.800048828125,\n 1296.3199462890625,\n 2798.030029296875\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Volume\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1121933733,\n \"min\": 0,\n \"max\": 11456230000,\n \"num_unique_values\": 4008,\n \"samples\": [\n 4241100000,\n 4293180000,\n 5103980000\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 301 } ], "source": [ "# taking only open, high, low, close and volume of S&P 500\n", "\n", "\n", "sp500 = data.xs(\"^GSPC\", level=\"Ticker\", axis=1)\n", "\n", "sp500 = sp500[[\"Open\", \"High\", \"Low\", \"Close\", \"Volume\"]]\n", "\n", "sp500.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 238 }, "id": "puGB0GS8NlfZ", "outputId": "8d6b8dcc-d9fe-4dc0-f19d-ad018d332cdb" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Price Close\n", "Date \n", "2008-01-02 23.170000\n", "2008-01-03 22.490000\n", "2008-01-04 23.940001\n", "2008-01-07 23.790001\n", "2008-01-08 25.430000" ], "text/html": [ "\n", "
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PriceClose
Date
2008-01-0223.170000
2008-01-0322.490000
2008-01-0423.940001
2008-01-0723.790001
2008-01-0825.430000
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "vix", "summary": "{\n \"name\": \"vix\",\n \"rows\": 4069,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2008-01-02 00:00:00\",\n \"max\": \"2024-03-01 00:00:00\",\n \"num_unique_values\": 4069,\n \"samples\": [\n \"2022-09-19 00:00:00\",\n \"2021-06-01 00:00:00\",\n \"2013-10-15 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Close\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 9.26202214551277,\n \"min\": 9.140000343322754,\n \"max\": 82.69000244140625,\n \"num_unique_values\": 1963,\n \"samples\": [\n 15.960000038146973,\n 12.9399995803833,\n 26.079999923706055\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 302 } ], "source": [ "# taking only coling values of VIX\n", "\n", "\n", "vix = data.xs(\"^VIX\", level=\"Ticker\", axis=1)\n", "\n", "vix = vix[[\"Close\"]]\n", "\n", "vix.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 238 }, "id": "DKrd0UufMRWN", "outputId": "c16a5419-b99f-42ee-c45e-15082e59d97e" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " SP500_Open SP500_High SP500_Low SP500_Close SP500_Volume \\\n", "Date \n", "2008-01-02 1467.969971 1471.770020 1442.069946 1447.160034 3452650000 \n", "2008-01-03 1447.550049 1456.800049 1443.729980 1447.160034 3429500000 \n", "2008-01-04 1444.010010 1444.010010 1411.189941 1411.630005 4166000000 \n", "2008-01-07 1414.069946 1423.869995 1403.449951 1416.180054 4221260000 \n", "2008-01-08 1415.709961 1430.280029 1388.300049 1390.189941 4705390000 \n", "\n", " VIX \n", "Date \n", "2008-01-02 23.170000 \n", "2008-01-03 22.490000 \n", "2008-01-04 23.940001 \n", "2008-01-07 23.790001 \n", "2008-01-08 25.430000 " ], "text/html": [ "\n", "
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" ] }, "metadata": {}, "execution_count": 304 } ], "source": [ "# checking null values\n", "\n", "\n", "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 238 }, "id": "0prIMsfJTkay", "outputId": "6392280e-4750-45f3-d017-d2d3d78bdec5" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " SP500_Open SP500_High SP500_Low SP500_Close SP500_Volume \\\n", "Date \n", "2024-02-26 5093.000000 5097.660156 5068.910156 5069.529785 3683930000 \n", "2024-02-27 5074.600098 5080.689941 5057.290039 5078.180176 3925950000 \n", "2024-02-28 5067.200195 5077.370117 5058.350098 5069.759766 3789370000 \n", "2024-02-29 5085.359863 5104.990234 5061.890137 5096.270020 5219740000 \n", "2024-03-01 5098.509766 5140.330078 5094.160156 5137.080078 4748110000 \n", "\n", " VIX SP500_Return Log_Return abs_return squared_return \n", "Date \n", "2024-02-26 13.74 -0.003787 -0.003794 0.003794 0.000014 \n", "2024-02-27 13.43 0.001706 0.001705 0.001705 0.000003 \n", "2024-02-28 13.84 -0.001658 -0.001660 0.001660 0.000003 \n", "2024-02-29 13.40 0.005229 0.005215 0.005215 0.000027 \n", "2024-03-01 13.11 0.008008 0.007976 0.007976 0.000064 " ], "text/html": [ "\n", "
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\"samples\": [\n 3925950000,\n 4748110000,\n 3789370000\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"VIX\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2915991680480401,\n \"min\": 13.109999656677246,\n \"max\": 13.84000015258789,\n \"num_unique_values\": 5,\n \"samples\": [\n 13.430000305175781,\n 13.109999656677246,\n 13.84000015258789\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"SP500_Return\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.004832844768610937,\n \"min\": -0.003786751350190576,\n \"max\": 0.00800782894888763,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.0017063496993998672,\n 0.00800782894888763,\n -0.001658155060430544\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Log_Return\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.004822809537639801,\n \"min\": -0.0037939392446677545,\n \"max\": 0.007975936433387787,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.0017048955387206632,\n 0.007975936433387787,\n -0.0016595313211116292\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"abs_return\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0026480525807547166,\n \"min\": 0.0016595313211116292,\n \"max\": 0.007975936433387787,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.0017048955387206632,\n 0.007975936433387787,\n 0.0016595313211116292\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"squared_return\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.5256527079484906e-05,\n \"min\": 2.7540442057505093e-06,\n \"max\": 6.361556198944269e-05,\n \"num_unique_values\": 5,\n \"samples\": [\n 2.9066687979496203e-06,\n 6.361556198944269e-05,\n 2.7540442057505093e-06\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 305 } ], "source": [ "# calculating daily percentage return of S&P 500 closing price\n", "df[\"SP500_Return\"] = df[\"SP500_Close\"].pct_change()\n", "\n", "# calculating daily log returns\n", "df[\"Log_Return\"] = np.log(df[\"SP500_Close\"]).diff()\n", "\n", "# absolute values for log returns\n", "df[\"abs_return\"] = df[\"Log_Return\"].abs()\n", "\n", "# square of log returns\n", "df[\"squared_return\"] = df[\"Log_Return\"] ** 2\n", "\n", "df.tail()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "atYiPNmAro5L" }, "outputs": [], "source": [ "# it give 1 for log return is negative which means market fall otherwise 0 usefull for leverage effect\n", "df[\"neg_return_flag\"] = (df[\"Log_Return\"] < 0).astype(int)\n", "\n", "# measures assymetry of return distribution for past 21 days\n", "df[\"skew_21\"] = df[\"Log_Return\"].rolling(window=21).skew()\n", "\n", "# measures fattails of return distribution for past 21 days\n", "df[\"kurt_21\"] = df[\"Log_Return\"].rolling(window=21).kurt()\n", "\n", "# intraday range normalised by closing price\n", "df[\"hl_range\"] = (df[\"SP500_High\"] - df[\"SP500_Low\"]) / df[\"SP500_Close\"]\n", "\n", "# percentage change in vix index\n", "df[\"vix_chg\"] = df[\"VIX\"].pct_change()\n", "\n", "# percentage change in yesterdays close and todays open\n", "df[\"overnight_gap\"] = (\n", " df[\"SP500_Open\"] / df[\"SP500_Close\"].shift(1) - 1\n", ")\n", "\n", "\n", "\n", "# intraday range\n", "high_low = df[\"SP500_High\"] - df[\"SP500_Low\"]\n", "# gap up scenario - todays high vs yesterdays close\n", "high_close = (df[\"SP500_High\"] - df[\"SP500_Close\"].shift(1)).abs()\n", "# gap down scenario - todays low vs yesterdays close\n", "low_close = (df[\"SP500_Low\"] - df[\"SP500_Close\"].shift(1)).abs()\n", "# taking true range by considering all the gaps\n", "true_range = pd.concat(\n", " [high_low, high_close, low_close],\n", " axis=1\n", ").max(axis=1)\n", "\n", "# average tru range is taking to smooth the noise of recent trends\n", "df[\"ATR\"] = true_range.rolling(window=14).mean()" ] }, { "cell_type": "markdown", "source": [ " Technical Indicators" ], "metadata": { "id": "ZRrNlXurw5Fd" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "MNZ9D2jKKuFE" }, "outputs": [], "source": [ "# taking 21 days average of closing prices simple moving average of 21 days is useful as trend indicator\n", "df[\"sma_21\"] = df[\"SP500_Close\"].rolling(21).mean()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Yg8inQqQK4cD" }, "outputs": [], "source": [ "# exponential moving average of 21 days give exponentially more weight to recent price\n", "df[\"ema_21\"] = df[\"SP500_Close\"].ewm(span=21, adjust=False).mean()" ] }, { "cell_type": "markdown", "source": [ "RSI means relative strength index, it is used to measure the strength of price moments" ], "metadata": { "id": "j0mMl65B2Xg9" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "6Hyw8QGkLGtw" }, "outputs": [], "source": [ "# taking change in close price.\n", "delta = df[\"SP500_Close\"].diff()\n", "\n", "# taking gains which means positive changes only\n", "gain = delta.clip(lower=0)\n", "\n", "# taking loss which means negative values only\n", "loss = -delta.clip(upper=0)\n", "\n", "# taking average of 14 days\n", "avg_gain = gain.rolling(14).mean()\n", "avg_loss = loss.rolling(14).mean()\n", "\n", "# relative strength which means ratio of average gains and average losses\n", "rs = avg_gain / avg_loss\n", "\n", "# relative strength index is range of 0 to 100\n", "# if RSI is above 70 it means over bought\n", "# if RSI is below 30 it means oversold\n", "df[\"rsi_14\"] = 100 - (100 / (1 + rs))" ] }, { "cell_type": "markdown", "source": [ "MACD means moving average convergence divergence" ], "metadata": { "id": "_3_ksD6M5bo2" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "6Sj98Y8vLL27" }, "outputs": [], "source": [ "# 12 days exponential moving average, it is faster moving average and more sensitive to recent price changes\n", "ema_12 = df[\"SP500_Close\"].ewm(span=12, adjust=False).mean()\n", "\n", "# 26 days exponential movinmg average, it is slower moving average and takes longer term price trend\n", "ema_26 = df[\"SP500_Close\"].ewm(span=26, adjust=False).mean()\n", "\n", "# MACD is the difference between fast EMA and slow EMA\n", "# positive MACD means bullish signal\n", "# negative MACD means bearish signal\n", "df[\"macd\"] = ema_12 - ema_26" ] }, { "cell_type": "markdown", "source": [ "21 days Bollinger Band Width" ], "metadata": { "id": "8bM7bkYr7ul3" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "WxDfiCLhLUhO" }, "outputs": [], "source": [ "# calculating 21 day rolling standard deviation of closing prices\n", "rolling_std_price = df[\"SP500_Close\"].rolling(21).std()\n", "\n", "# stnadard bollinger bands are upper = SMA + 2*std, lower = SMA - 2*std\n", "# bollinger band width = (upper - lower) / SMA\n", "# bollinger band width = (4 * std) / SMA\n", "# wider bollinger band indicates high volatility and narrow bollinger band indicates low volatility\n", "df[\"bb_width\"] = (4 * rolling_std_price) / df[\"sma_21\"]" ] }, { "cell_type": "markdown", "source": [ "Parkinson Volatility Estimator" ], "metadata": { "id": "HSWDFL6H_hbO" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "f6xFYc70L3Qc" }, "outputs": [], "source": [ "# it estimates annualised volatility using intraday high and low prices\n", "# it calculates log of intraday price range and parkinson's scaling constant and then anualising by 252\n", "df[\"parkinson_vol\"] = np.sqrt(\n", " (1 / (4 * np.log(2))) * (np.log(df[\"SP500_High\"] / df[\"SP500_Low\"])) ** 2 * 252\n", ")" ] }, { "cell_type": "markdown", "source": [ "Realised Volatility" ], "metadata": { "id": "ih6jIQ9LCh0H" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "mI2v-pY9SoE4" }, "outputs": [], "source": [ "# realised volatility measures actual historical volatility by using squared log returns and over a scalling window and annualising the results\n", "\n", "# 5 dyas means 1 week of realised volatility\n", "df[\"RV_5\"] = np.sqrt(\n", " (252 / 5) *\n", " df[\"Log_Return\"].pow(2).rolling(5).sum()\n", ")\n", "\n", "# 21 days means 1 month of realised volatility\n", "df[\"RV_21\"] = np.sqrt(\n", " (252 / 21) *\n", " df[\"Log_Return\"].pow(2).rolling(21).sum()\n", ")\n", "\n", "# 63 days means 1 quarter of realised volatility\n", "df[\"RV_63\"] = np.sqrt(\n", " (252 / 63) *\n", " df[\"Log_Return\"].pow(2).rolling(63).sum()\n", ")" ] }, { "cell_type": "markdown", "source": [ "This is next days 21-day realised volatility" ], "metadata": { "id": "TyU-27M5DjZF" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "1xlFSf1Iarzd" }, "outputs": [], "source": [ "# shifts RV_21 one step back then each row contains tomorrow's RV_21\n", "# this will be the target feature, models learn todays features to forecast next days realised volatility\n", "# .abs() is used to avoid negative values\n", "df[\"Next_Day_RV_21\"] = df[\"RV_21\"].shift(-1).abs()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 354 }, "id": "tNVOSW7P9p8e", "outputId": "a9659a8d-df82-4e52-df9b-22a8add12322" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " SP500_Open SP500_High SP500_Low SP500_Close SP500_Volume \\\n", "Date \n", "2008-01-02 1467.969971 1471.770020 1442.069946 1447.160034 3452650000 \n", "2008-01-03 1447.550049 1456.800049 1443.729980 1447.160034 3429500000 \n", "2008-01-04 1444.010010 1444.010010 1411.189941 1411.630005 4166000000 \n", "2008-01-07 1414.069946 1423.869995 1403.449951 1416.180054 4221260000 \n", "2008-01-08 1415.709961 1430.280029 1388.300049 1390.189941 4705390000 \n", "\n", " VIX SP500_Return Log_Return 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" ] }, "metadata": {}, "execution_count": 319 } ], "source": [ "# checking null values\n", "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "AYUgXjHtBXru" }, "outputs": [], "source": [ "# removes all the NaN values\n", "df = df.dropna()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 931 }, "id": "IyMrWI1tTHIV", "outputId": "800d6420-f151-4dbd-dc92-1d98eda7dc6f" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "SP500_Open 0\n", "SP500_High 0\n", "SP500_Low 0\n", "SP500_Close 0\n", "SP500_Volume 0\n", "VIX 0\n", "SP500_Return 0\n", "Log_Return 0\n", "abs_return 0\n", "squared_return 0\n", "neg_return_flag 0\n", "skew_21 0\n", "kurt_21 0\n", "hl_range 0\n", "vix_chg 0\n", "overnight_gap 0\n", "ATR 0\n", "sma_21 0\n", "ema_21 0\n", "rsi_14 0\n", "macd 0\n", "bb_width 0\n", "parkinson_vol 0\n", "RV_5 0\n", "RV_21 0\n", "RV_63 0\n", "Next_Day_RV_21 0\n", "dtype: int64" ], "text/html": [ "
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" ] }, "metadata": {}, "execution_count": 321 } ], "source": [ "# after removing the NaN values checking again\n", "df.isnull().sum()" ] }, { "cell_type": "markdown", "metadata": { "id": "nXotjpLrCQBw" }, "source": [ "## Exploratory Data Analysis and Data Preprocessing" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 896 }, "id": "g30UBOZ9_Fhr", "outputId": "f5f2e68e-4a70-4468-98f2-d3653e704c3c" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " count mean std min 25% \\\n", "SP500_Open 4005.0 2.394542e+03 1.137504e+03 679.280029 1.365210e+03 \n", "SP500_High 4005.0 2.408177e+03 1.143179e+03 695.270020 1.370630e+03 \n", "SP500_Low 4005.0 2.379970e+03 1.131737e+03 666.789978 1.358590e+03 \n", "SP500_Close 4005.0 2.395051e+03 1.137852e+03 676.530029 1.365000e+03 \n", "SP500_Volume 4005.0 4.104611e+09 1.126430e+09 0.000000 3.409490e+09 \n", "VIX 4005.0 2.011101e+01 9.301651e+00 9.140000 1.393000e+01 \n", "SP500_Return 4005.0 4.109683e-04 1.282310e-02 -0.119841 -4.140842e-03 \n", "Log_Return 4005.0 3.284651e-04 1.285429e-02 -0.127652 -4.149439e-03 \n", "abs_return 4005.0 8.165421e-03 9.932267e-03 0.000000 2.112028e-03 \n", "squared_return 4005.0 1.652994e-04 6.291871e-04 0.000000 4.460664e-06 \n", "neg_return_flag 4005.0 4.569288e-01 4.982036e-01 0.000000 0.000000e+00 \n", "skew_21 4005.0 -1.316812e-01 6.602645e-01 -3.020952 -5.210073e-01 \n", "kurt_21 4005.0 5.745347e-01 1.516737e+00 -1.532006 -4.193893e-01 \n", "hl_range 4005.0 1.270338e-02 1.056551e-02 0.001456 6.295757e-03 \n", "vix_chg 4005.0 2.834020e-03 8.025052e-02 -0.295727 -4.184352e-02 \n", "overnight_gap 4005.0 1.336936e-04 3.997711e-03 -0.074669 -9.416188e-04 \n", "ATR 4005.0 3.090366e+01 2.320258e+01 6.681431 1.537569e+01 \n", "sma_21 4005.0 2.385795e+03 1.130208e+03 739.000477 1.360243e+03 \n", "ema_21 4005.0 2.385888e+03 1.129844e+03 745.878425 1.358007e+03 \n", "rsi_14 4005.0 5.597840e+01 1.621258e+01 4.009864 4.408427e+01 \n", "macd 4005.0 6.292910e+00 2.958559e+01 -237.020227 -4.306890e+00 \n", "bb_width 4005.0 7.014400e-02 5.066627e-02 0.010781 4.059032e-02 \n", "parkinson_vol 4005.0 1.211296e-01 1.007095e-01 0.013885 6.009764e-02 \n", "RV_5 4005.0 1.573646e-01 1.301657e-01 0.009671 7.890049e-02 \n", "RV_21 4005.0 1.662082e-01 1.192701e-01 0.037966 9.727664e-02 \n", "RV_63 4005.0 1.734261e-01 1.095977e-01 0.052555 1.111139e-01 \n", "Next_Day_RV_21 4005.0 1.661647e-01 1.192532e-01 0.037966 9.727664e-02 \n", "\n", " 50% 75% max \n", "SP500_Open 2.099340e+03 3.101640e+03 5.100920e+03 \n", "SP500_High 2.106010e+03 3.119380e+03 5.111060e+03 \n", "SP500_Low 2.089390e+03 3.083110e+03 5.081460e+03 \n", "SP500_Close 2.099500e+03 3.103540e+03 5.096270e+03 \n", "SP500_Volume 3.860260e+09 4.528120e+09 1.145623e+10 \n", "VIX 1.758000e+01 2.305000e+01 8.269000e+01 \n", "SP500_Return 6.906717e-04 5.938985e-03 1.158004e-01 \n", "Log_Return 6.904333e-04 5.921419e-03 1.095720e-01 \n", "abs_return 5.214428e-03 1.079402e-02 1.276522e-01 \n", "squared_return 2.719026e-05 1.165108e-04 1.629508e-02 \n", "neg_return_flag 0.000000e+00 1.000000e+00 1.000000e+00 \n", "skew_21 -1.476630e-01 2.852946e-01 2.541585e+00 \n", "kurt_21 2.590952e-01 1.085498e+00 1.166507e+01 \n", "hl_range 9.826880e-03 1.529304e-02 1.073820e-01 \n", "vix_chg -6.926930e-03 3.535358e-02 1.155979e+00 \n", "overnight_gap 4.235352e-05 1.355599e-03 4.784126e-02 \n", "ATR 2.106430e+01 4.028850e+01 1.982671e+02 \n", "sma_21 2.091218e+03 3.091652e+03 5.004042e+03 \n", "ema_21 2.090126e+03 3.071920e+03 5.003677e+03 \n", "rsi_14 5.657193e+01 6.714084e+01 9.929881e+01 \n", "macd 9.631999e+00 1.902661e+01 9.258371e+01 \n", "bb_width 5.773049e-02 8.224337e-02 4.541000e-01 \n", "parkinson_vol 9.375966e-02 1.457784e-01 1.039558e+00 \n", "RV_5 1.248170e-01 1.904637e-01 1.426833e+00 \n", "RV_21 1.337370e-01 1.949768e-01 9.556425e-01 \n", "RV_63 1.405892e-01 2.027502e-01 7.253570e-01 \n", "Next_Day_RV_21 1.337095e-01 1.948341e-01 9.556425e-01 " ], "text/html": [ "\n", "
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SP500_Open4005.02.394542e+031.137504e+03679.2800291.365210e+032.099340e+033.101640e+035.100920e+03
SP500_High4005.02.408177e+031.143179e+03695.2700201.370630e+032.106010e+033.119380e+035.111060e+03
SP500_Low4005.02.379970e+031.131737e+03666.7899781.358590e+032.089390e+033.083110e+035.081460e+03
SP500_Close4005.02.395051e+031.137852e+03676.5300291.365000e+032.099500e+033.103540e+035.096270e+03
SP500_Volume4005.04.104611e+091.126430e+090.0000003.409490e+093.860260e+094.528120e+091.145623e+10
VIX4005.02.011101e+019.301651e+009.1400001.393000e+011.758000e+012.305000e+018.269000e+01
SP500_Return4005.04.109683e-041.282310e-02-0.119841-4.140842e-036.906717e-045.938985e-031.158004e-01
Log_Return4005.03.284651e-041.285429e-02-0.127652-4.149439e-036.904333e-045.921419e-031.095720e-01
abs_return4005.08.165421e-039.932267e-030.0000002.112028e-035.214428e-031.079402e-021.276522e-01
squared_return4005.01.652994e-046.291871e-040.0000004.460664e-062.719026e-051.165108e-041.629508e-02
neg_return_flag4005.04.569288e-014.982036e-010.0000000.000000e+000.000000e+001.000000e+001.000000e+00
skew_214005.0-1.316812e-016.602645e-01-3.020952-5.210073e-01-1.476630e-012.852946e-012.541585e+00
kurt_214005.05.745347e-011.516737e+00-1.532006-4.193893e-012.590952e-011.085498e+001.166507e+01
hl_range4005.01.270338e-021.056551e-020.0014566.295757e-039.826880e-031.529304e-021.073820e-01
vix_chg4005.02.834020e-038.025052e-02-0.295727-4.184352e-02-6.926930e-033.535358e-021.155979e+00
overnight_gap4005.01.336936e-043.997711e-03-0.074669-9.416188e-044.235352e-051.355599e-034.784126e-02
ATR4005.03.090366e+012.320258e+016.6814311.537569e+012.106430e+014.028850e+011.982671e+02
sma_214005.02.385795e+031.130208e+03739.0004771.360243e+032.091218e+033.091652e+035.004042e+03
ema_214005.02.385888e+031.129844e+03745.8784251.358007e+032.090126e+033.071920e+035.003677e+03
rsi_144005.05.597840e+011.621258e+014.0098644.408427e+015.657193e+016.714084e+019.929881e+01
macd4005.06.292910e+002.958559e+01-237.020227-4.306890e+009.631999e+001.902661e+019.258371e+01
bb_width4005.07.014400e-025.066627e-020.0107814.059032e-025.773049e-028.224337e-024.541000e-01
parkinson_vol4005.01.211296e-011.007095e-010.0138856.009764e-029.375966e-021.457784e-011.039558e+00
RV_54005.01.573646e-011.301657e-010.0096717.890049e-021.248170e-011.904637e-011.426833e+00
RV_214005.01.662082e-011.192701e-010.0379669.727664e-021.337370e-011.949768e-019.556425e-01
RV_634005.01.734261e-011.095977e-010.0525551.111139e-011.405892e-012.027502e-017.253570e-01
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}, "metadata": {} } ], "source": [ "# plot histogram for all the features\n", "df.hist(figsize=(14, 14))\n", "\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "CEbkDQlq_Fnr", "outputId": "b6e48f5f-9d90-4288-b8da-7dad3f7cd5f0" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# feature correlation heatmap for all the features\n", "# observing observing highly correlated features and which features are highly correlated to target feature\n", "\n", "plt.figure(figsize=(20, 16))\n", "\n", "corr = df.corr()\n", "sns.heatmap(corr, annot=True, fmt=\".2f\", cmap=\"coolwarm\", center=0)\n", "plt.title(\"Feature Correlation Heatmap\")\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 707 }, "id": "f0HLPul1_Fxz", "outputId": "d99a3bc6-bf0d-45d3-9885-a56f1f0fd54c" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# plotting high and low volatility regimes\n", "\n", "# calculating regime boundraries using 25th and 75th percentiles for the target\n", "low_threshold, high_threshold = df[\"Next_Day_RV_21\"].quantile([0.25, 0.75])\n", "\n", "# classifying each day into Regimes: 0 = Low volatility, 1 = Normal volatility, 2 = High volatility\n", "df[\"volatility_regime\"] = np.select(\n", " [df[\"Next_Day_RV_21\"] <= low_threshold, df[\"Next_Day_RV_21\"] >= high_threshold],\n", " [0, 2],\n", " default=1\n", ")\n", "\n", "# Plot\n", "fig, ax = plt.subplots(figsize=(18, 7))\n", "ax.plot(df.index, df[\"Next_Day_RV_21\"], color=\"black\", lw=0.8, label=\"Next_Day_RV_21\")\n", "\n", "ax.scatter(df.index[df.volatility_regime == 2],\n", " df.loc[df.volatility_regime == 2, \"Next_Day_RV_21\"],\n", " color=\"red\", s=12, label=\"High\")\n", "\n", "ax.scatter(df.index[df.volatility_regime == 0],\n", " df.loc[df.volatility_regime == 0, \"Next_Day_RV_21\"],\n", " color=\"green\", s=12, label=\"Low\")\n", "\n", "ax.axhline(high_threshold, color=\"red\", ls=\"--\", lw=1, label=\"75th percentile\")\n", "ax.axhline(low_threshold, color=\"green\", ls=\"--\", lw=1, label=\"25th percentile\")\n", "\n", "ax.set(title=\"Realised Volatility (Next_Day_Volatility) and Volatility Regimes\",\n", " xlabel=\"Date\", ylabel=\"Realised Volatility (Next_Day_Volatility)\")\n", "ax.legend()\n", "ax.grid(alpha=0.2)\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 607 }, "id": "REK7Uqez_GBG", "outputId": "7e246c36-944e-44dd-f97a-0bc774416160" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# distribution of Next_Day_RV_21(target feature)\n", "plt.figure(figsize=(10, 6))\n", "\n", "sns.histplot(\n", " df[\"Next_Day_RV_21\"],\n", " kde=True,\n", " bins=50\n", ")\n", "\n", "plt.title(\"Distribution of Next-Day Volatility\")\n", "plt.xlabel(\"Next_Day_RV_21\")\n", "plt.ylabel(\"Frequency\")\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "source": [ "by observing above representation, majority of the time market is in low volatility conditions. high volatility may during crisis." ], "metadata": { "id": "ZGAPIOU6WK0S" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ZvgQpznra5hf", "outputId": "7d3051b4-62f5-4359-a1a6-a3da7bc60903" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Index(['SP500_Open', 'SP500_High', 'SP500_Low', 'SP500_Close', 'SP500_Volume',\n", " 'VIX', 'SP500_Return', 'Log_Return', 'abs_return', 'squared_return',\n", " 'neg_return_flag', 'skew_21', 'kurt_21', 'hl_range', 'vix_chg',\n", " 'overnight_gap', 'ATR', 'sma_21', 'ema_21', 'rsi_14', 'macd',\n", " 'bb_width', 'parkinson_vol', 'RV_5', 'RV_21', 'RV_63', 'Next_Day_RV_21',\n", " 'volatility_regime'],\n", " dtype='object')" ] }, "metadata": {}, "execution_count": 327 } ], "source": [ "df.columns" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "-fcGfYjAv7My" }, "outputs": [], "source": [ "# define features and target variables\n", "\n", "# input variables includes raw prices of S&P 500, volatility index, return measures, rolling features, technical indicators, historical volatility at multiple horizons\n", "features = ['SP500_Open', 'SP500_High', 'SP500_Low', 'SP500_Close', 'SP500_Volume',\n", " 'VIX', 'SP500_Return', 'Log_Return', 'abs_return', 'squared_return',\n", " 'neg_return_flag', 'skew_21', 'kurt_21', 'hl_range',\n", " 'vix_chg', 'overnight_gap', 'ATR', 'sma_21', 'ema_21', 'rsi_14', 'macd',\n", " 'bb_width', 'parkinson_vol', 'RV_5', 'RV_21', 'RV_63']\n", "\n", "# input features\n", "X = df[features]\n", "\n", "# target variable\n", "y = df['Next_Day_RV_21']" ] }, { "cell_type": "markdown", "source": [ "Temporal train / test split\n" ], "metadata": { "id": "DlGyAya5ib-x" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "gv9pKn3vwP2Q" }, "outputs": [], "source": [ "# train set with 13 years of data\n", "train = df.loc[\"2008-01-02\" : \"2020-12-31\"]\n", "\n", "# test set with 3 years of data\n", "test = df.loc[\"2021-01-01\" : \"2024-03-04\"]" ] }, { "cell_type": "markdown", "source": [ "Features and target for train and test data" ], "metadata": { "id": "j9e-WDa7iWup" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "PcPQfPNLw4Jg" }, "outputs": [], "source": [ "# it contains features of every trading day from the training data\n", "X_train = train[features]\n", "\n", "# it contains Next_Day_RV_21 values that models learn to predict\n", "y_train = train[\"Next_Day_RV_21\"]\n", "\n", "\n", "# test data used only for final evalution, not used while training\n", "\n", "# it contains features of every trading day from the training data\n", "X_test = test[features]\n", "\n", "#it contains Next_Day_RV_21 values used to score model predictions\n", "y_test = test[\"Next_Day_RV_21\"]" ] }, { "cell_type": "markdown", "source": [ "Feature scaling with minmaxscaler" ], "metadata": { "id": "9ev_UJo7iSDZ" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ZeaghRF6x1Fj" }, "outputs": [], "source": [ "# feature scaling with minmaxscaler\n", "# scales all the input features to range from 0 to 1\n", "scaler = MinMaxScaler()\n", "\n", "\n", "# fit transform only on training data - fit learns the min/max values and transform applies those values\n", "X_train_scaled = scaler.fit_transform(X_train)\n", "\n", "# transform on test data - applies the learned min/max values to the test data\n", "X_test_scaled = scaler.transform(X_test)" ] }, { "cell_type": "markdown", "source": [ "Target variable scaling" ], "metadata": { "id": "v5GL3y6SiKeS" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "65sHzij7QbHF" }, "outputs": [], "source": [ "# dedicated scaler for target feature because inverse transform is needed to convert model predictions back to real volatility\n", "y_scaler = MinMaxScaler()\n", "\n", "# fit transform learns min/max , reshape(-1,1) converts 1D target series into single column matrix because minmacscaler expects 2d arrray\n", "y_train_scaled = y_scaler.fit_transform(y_train.values.reshape(-1, 1)).flatten()\n", "\n", "# transform only and flatten converts back to 1D array\n", "y_test_scaled = y_scaler.transform(y_test.values.reshape(-1, 1)).flatten()" ] }, { "cell_type": "markdown", "source": [ "Sequence creation for time series models" ], "metadata": { "id": "SwLUKhNNh5Xj" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "1EIuzr6y2CO0" }, "outputs": [], "source": [ "# lookback window 21 trading days\n", "lookback = 21\n", "\n", "# converts flat 2D feature array into 3D sequences\n", "def create_sequences(X, y, lookback):\n", " X_seq, y_seq = [], []\n", "\n", " for i in range(lookback, len(X)):\n", " X_seq.append(X[i - lookback:i])\n", " y_seq.append(y[i])\n", "\n", " return np.array(X_seq), np.array(y_seq)" ] }, { "cell_type": "markdown", "source": [ "Creating train and test sequences" ], "metadata": { "id": "Yo7hM11fjT7J" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "alVR78g22M1w", "outputId": "25939998-c481-4e7b-f5ec-f4b36f361b32" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "X_train shape: (3190, 21, 26)\n", "X_test shape: (773, 21, 26)\n", "y_train shape: (3190,)\n", "y_test shape: (773,)\n" ] } ], "source": [ "# training sequences\n", "X_train_seq, y_train_seq = create_sequences(\n", " X_train_scaled,\n", " y_train_scaled,\n", " lookback\n", ")\n", "\n", "# testing sequences\n", "X_test_seq, y_test_seq = create_sequences(\n", " X_test_scaled,\n", " y_test_scaled,\n", " lookback\n", ")\n", "\n", "# X shape should be 3D - (samples, loockback, features)\n", "print(\"X_train shape:\", X_train_seq.shape)\n", "print(\"X_test shape:\", X_test_seq.shape)\n", "\n", "# y shape should be 1D - (samples,)\n", "print(\"y_train shape:\", y_train_seq.shape)\n", "print(\"y_test shape:\", y_test_seq.shape)" ] }, { "cell_type": "markdown", "source": [ "QLIKE evaluation metric" ], "metadata": { "id": "dlOrMZNtwOwB" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "wQknJn-80Btu" }, "outputs": [], "source": [ "# QLIKE is used to evaluate the model after training\n", "\n", "def qlike_metric(y_true, y_pred):\n", " eps = tf.keras.backend.epsilon()\n", "\n", " # it operates on variances not on volatility thats why ** 2 is used and eps is to avoid division by zero\n", " y_true_var = tf.maximum(tf.cast(y_true, tf.float32) ** 2, eps)\n", " y_pred_var = tf.maximum(tf.cast(y_pred, tf.float32) ** 2, eps)\n", "\n", " return tf.reduce_mean(\n", " y_true_var / y_pred_var\n", " - tf.math.log(y_true_var / y_pred_var)\n", " - 1.0\n", " )" ] }, { "cell_type": "markdown", "source": [ "Training curve Plot" ], "metadata": { "id": "FGD2NMFUyt6U" } }, { "cell_type": "code", "source": [ "# plot training and validation loss curves after training, we can observe whether model is overfitting, underfitting or good fitting\n", "def plot_history(history, name):\n", "\n", " plt.figure(figsize=(10, 5))\n", "\n", " plt.plot(history.history[\"loss\"], label=\"Training loss\")\n", " plt.plot(history.history[\"val_loss\"], label=\"Validation loss\")\n", "\n", " plt.title(f\"{name} training\")\n", " plt.xlabel(\"Epoch\")\n", " plt.ylabel(\"Loss (MSE, scaled)\")\n", " plt.legend()\n", " plt.grid(True)\n", " plt.show()" ], "metadata": { "id": "E6-p1gudysa9" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Predict and inverse scale" ], "metadata": { "id": "xMMUPuE-zlYq" } }, { "cell_type": "code", "source": [ "# generate predictions from a trained model and converts back to original scale\n", "def predict_and_inverse_scale(model, X_input_seq, y_input_scaled, scaler_for_output):\n", " # Make predictions\n", " predictions_scaled = model.predict(X_input_seq)\n", "\n", " # Convert predictions back to original scale using the scaler\n", " predictions_unscaled = scaler_for_output.inverse_transform(predictions_scaled)\n", "\n", " # Convert actual scaled values back to original scale using the scaler\n", " actual_unscaled = scaler_for_output.inverse_transform(\n", " y_input_scaled.reshape(-1, 1)\n", " )\n", "\n", " return predictions_unscaled, actual_unscaled" ], "metadata": { "id": "Do4BYzqgzkmb" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Results and plot" ], "metadata": { "id": "rDjwgUJd0coa" } }, { "cell_type": "code", "source": [ "# builds results dataframe and plot actual vs predicted volatility\n", "def create_results_and_plot(\n", " model_name,\n", " predictions,\n", " actual,\n", " y_test,\n", " lookback\n", "):\n", " # Calculate aligned test length and number of predictions made\n", " aligned_test_length = len(y_test) - lookback\n", " print(\"Aligned test length:\", aligned_test_length)\n", " print(\"Number of predictions:\", aligned_test_length)\n", "\n", " # Create results dataframe with date aligned\n", " results = pd.DataFrame({\n", " 'Actual Volatility': actual.flatten()[:aligned_test_length],\n", " f'{model_name} Predicted Volatility':\n", " predictions.flatten()[:aligned_test_length]\n", " }, index=y_test.index[\n", " lookback:lookback + aligned_test_length\n", " ])\n", "\n", " # Plot actual vs predicted volatility\n", " plt.figure(figsize=(12, 6))\n", "\n", " plt.plot(\n", " results.index,\n", " results['Actual Volatility'],\n", " label='Actual Volatility'\n", " )\n", "\n", " plt.plot(\n", " results.index,\n", " results[f'{model_name} Predicted Volatility'],\n", " label=f'{model_name} Predicted Volatility'\n", " )\n", "\n", " plt.xlabel(\"Date\")\n", " plt.ylabel(\"Volatility\")\n", " plt.title(f\"S&P 500 Volatility Forecasting using {model_name}\")\n", " plt.legend()\n", " plt.show()\n", "\n", " return results" ], "metadata": { "id": "SCwB6jdG0bEV" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "YkRNrUd33YSQ" }, "outputs": [], "source": [ "# collect evaluation metrics for every model after training, each by model name and stores MAE, RMSE and QLIKE\n", "\n", "\n", "MODEL_RESULTS = {}\n", "\n", "# Helper function to calculate and store metrics(MAE, RMSE, QLIKE)\n", "def calculate_metrics(model_name, results_df=None, predictions_arr=None, actual_arr=None):\n", " if predictions_arr is not None and actual_arr is not None:\n", "\n", " # for GARCH models - predictions and actual values are direcly passed as arrays\n", " actual = actual_arr\n", " predicted = predictions_arr\n", " else:\n", " # for other models - results_df is used\n", " actual = results_df['Actual Volatility']\n", " predicted = results_df[f'{model_name} Predicted Volatility']\n", "\n", " mae = mean_absolute_error(actual, predicted)\n", " rmse = np.sqrt(mean_squared_error(actual, predicted))\n", " qlike = qlike_metric(tf.constant(actual), tf.constant(predicted)).numpy()\n", "\n", " # store all three metrics with model name\n", " MODEL_RESULTS[model_name] = {\n", " \"MAE\": mae,\n", " \"RMSE\": rmse,\n", " \"QLIKE\": qlike,\n", " }" ] }, { "cell_type": "markdown", "metadata": { "id": "s6cKxLyPsP3S" }, "source": [ "## CNN model for predicting Realised Volatility" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "kllZTFCtYpwm" }, "outputs": [], "source": [ "# builds three blocks of 1D CNN to detect meaningful patterns in 21 day input window.\n", "\n", "def get_cnn_model(input_shape):\n", "\n", " cnn_model = Sequential([\n", "\n", " Input(shape=input_shape), # (lockback, number of features) = (21,26)\n", "\n", " # Block 1\n", " # two stacked Conv1D layers learn patterns with kernal size of 5, each look at 5 days window at same time\n", " Conv1D(filters=32, kernel_size=5, activation='relu', padding=\"same\"),\n", " BatchNormalization(),\n", " Conv1D(filters=32,kernel_size=5, activation='relu', padding=\"same\"),\n", " BatchNormalization(),\n", " MaxPooling1D(),\n", " Dropout(0.10),\n", "\n", "\n", " # Block 2\n", " Conv1D(filters=64, kernel_size=5, activation='relu', padding=\"same\"),\n", " BatchNormalization(),\n", " Conv1D(filters=64,kernel_size=5, activation='relu',padding=\"same\"),\n", " BatchNormalization(),\n", " MaxPooling1D(),\n", " Dropout(0.20),\n", "\n", "\n", " # Block 3\n", " Conv1D(filters=128,kernel_size=5, activation='relu', padding=\"same\"),\n", " BatchNormalization(),\n", " MaxPooling1D(),\n", " Dropout(0.30),\n", "\n", "\n", " # converts sequence dimension into single vector\n", " GlobalAveragePooling1D(),\n", "\n", " # Regression head\n", " Dense(32,activation=\"relu\"),\n", " Dropout(0.40),\n", "\n", " # linear output for regression - no activation funtion is needed as Next_Day_RV_21 is a continuous positive value\n", " Dense(1)\n", " ])\n", "\n", " cnn_model.summary()\n", "\n", " return cnn_model" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 878 }, "id": "8dfhsLqPYzaE", "outputId": "f1567e97-b736-40a3-82fa-4c6fbe01a1c3" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"sequential_21\"\u001b[0m\n" ], "text/html": [ "
Model: \"sequential_21\"\n",
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              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ conv1d_24 (Conv1D)              │ (None, 21, 32)         │         4,192 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_21          │ (None, 21, 32)         │           128 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_25 (Conv1D)              │ (None, 21, 32)         │         5,152 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_22          │ (None, 21, 32)         │           128 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling1d_9 (MaxPooling1D)  │ (None, 10, 32)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_84 (Dropout)            │ (None, 10, 32)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_26 (Conv1D)              │ (None, 10, 64)         │        10,304 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_23          │ (None, 10, 64)         │           256 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_27 (Conv1D)              │ (None, 10, 64)         │        20,544 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_24          │ (None, 10, 64)         │           256 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling1d_10 (MaxPooling1D) │ (None, 5, 64)          │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_85 (Dropout)            │ (None, 5, 64)          │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_28 (Conv1D)              │ (None, 5, 128)         │        41,088 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_25          │ (None, 5, 128)         │           512 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling1d_11 (MaxPooling1D) │ (None, 2, 128)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_86 (Dropout)            │ (None, 2, 128)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ global_average_pooling1d_6      │ (None, 128)            │             0 │\n",
              "│ (GlobalAveragePooling1D)        │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_96 (Dense)                │ (None, 32)             │         4,128 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_87 (Dropout)            │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_97 (Dense)                │ (None, 1)              │            33 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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loss: 0.9061 - mae: 0.6746 - val_loss: 0.0211 - val_mae: 0.1026 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.1413 - mae: 0.2815 - val_loss: 0.0274 - val_mae: 0.1140 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 13ms/step - loss: 0.0583 - mae: 0.1728 - val_loss: 0.0361 - val_mae: 0.1451 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - loss: 0.0301 - mae: 0.1210 - val_loss: 0.0272 - val_mae: 0.1050 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - loss: 0.0221 - mae: 0.0971 - val_loss: 0.0228 - val_mae: 0.0910 - learning_rate: 5.0000e-04\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0197 - mae: 0.0924 - val_loss: 0.0197 - val_mae: 0.0830 - learning_rate: 5.0000e-04\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0161 - mae: 0.0824 - val_loss: 0.0182 - val_mae: 0.0809 - learning_rate: 5.0000e-04\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 0.0160 - mae: 0.0804 - val_loss: 0.0189 - val_mae: 0.0834 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - loss: 0.0123 - mae: 0.0714 - val_loss: 0.0170 - val_mae: 0.0794 - learning_rate: 5.0000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0110 - mae: 0.0677 - val_loss: 0.0162 - val_mae: 0.0776 - learning_rate: 5.0000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 29ms/step - loss: 0.0108 - mae: 0.0652 - val_loss: 0.0144 - val_mae: 0.0741 - learning_rate: 5.0000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0096 - mae: 0.0614 - val_loss: 0.0141 - val_mae: 0.0733 - learning_rate: 5.0000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0094 - mae: 0.0616 - val_loss: 0.0132 - val_mae: 0.0717 - learning_rate: 5.0000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0091 - mae: 0.0606 - val_loss: 0.0126 - val_mae: 0.0699 - learning_rate: 5.0000e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0096 - mae: 0.0612 - val_loss: 0.0126 - val_mae: 0.0698 - learning_rate: 5.0000e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0076 - mae: 0.0558 - val_loss: 0.0114 - val_mae: 0.0672 - learning_rate: 5.0000e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 0.0091 - mae: 0.0587 - val_loss: 0.0117 - val_mae: 0.0679 - learning_rate: 5.0000e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 0.0077 - mae: 0.0552 - val_loss: 0.0119 - val_mae: 0.0677 - learning_rate: 5.0000e-04\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 10ms/step - loss: 0.0076 - mae: 0.0541 - val_loss: 0.0120 - val_mae: 0.0684 - learning_rate: 5.0000e-04\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 14ms/step - loss: 0.0066 - mae: 0.0524 - val_loss: 0.0116 - val_mae: 0.0674 - learning_rate: 2.5000e-04\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0067 - mae: 0.0529 - val_loss: 0.0109 - val_mae: 0.0660 - learning_rate: 2.5000e-04\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0069 - mae: 0.0527 - val_loss: 0.0118 - val_mae: 0.0683 - learning_rate: 2.5000e-04\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 12ms/step - loss: 0.0066 - mae: 0.0524 - val_loss: 0.0109 - val_mae: 0.0655 - learning_rate: 2.5000e-04\n", "Epoch 24/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 10ms/step - loss: 0.0065 - mae: 0.0522 - val_loss: 0.0110 - val_mae: 0.0654 - learning_rate: 2.5000e-04\n", "Epoch 25/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0065 - mae: 0.0518 - val_loss: 0.0107 - val_mae: 0.0646 - learning_rate: 1.2500e-04\n", "Epoch 26/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0063 - mae: 0.0513 - val_loss: 0.0102 - val_mae: 0.0630 - learning_rate: 1.2500e-04\n", "Epoch 27/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 10ms/step - loss: 0.0062 - mae: 0.0504 - val_loss: 0.0104 - val_mae: 0.0632 - learning_rate: 1.2500e-04\n", "Epoch 28/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0059 - mae: 0.0499 - val_loss: 0.0101 - val_mae: 0.0625 - learning_rate: 1.2500e-04\n", "Epoch 29/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0061 - mae: 0.0500 - val_loss: 0.0102 - val_mae: 0.0626 - learning_rate: 1.2500e-04\n", "Epoch 30/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0061 - mae: 0.0501 - val_loss: 0.0101 - val_mae: 0.0623 - learning_rate: 1.2500e-04\n" ] } ], "source": [ "# stops training if validation loss does not imporve for 8 consecutive epochs and keep best weights\n", "# halfs learning rate if validation loss not improving for 3 consecutive epochs\n", "# saves the model weights\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True),\n", " ReduceLROnPlateau(patience=3, factor=0.5),\n", " ModelCheckpoint(\"best_model_CNN.keras\", save_best_only=True)\n", "]\n", "\n", "# trains the CNN model with 20% of training sequence as validation data, it is time ordered so no future leakage\n", "history_cnn = cnn_model.fit(\n", " X_train_seq,\n", " y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "FjEQdVQ2jgPA", "outputId": "347cc0cc-c11e-4602-80d5-ae3bc90b8d57" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# CNN training and validation loss\n", "plot_history(history_cnn, \"CNN\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "r4H7CinGj7cw", "outputId": "f2f1e864-d472-4144-8da9-988ca4734bf8" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 70ms/step\n" ] } ], "source": [ "# it calls the predict_and _inverse_scale funtion and\n", "# predicts on test set and inverse transform both actual and prediction values\n", "cnn_predictions, target_test_actual = predict_and_inverse_scale(\n", " cnn_model,\n", " X_test_seq, # 3D test sequence with shape (21,26)\n", " y_test_seq, # scaled target values for test period\n", " y_scaler # fitted minmaxscaler used on target\n", ")\n" ] }, { "cell_type": "markdown", "source": [ "Build results dataframe and plot actual vs predicted volatility" ], "metadata": { "id": "Bpc-hyXiJENW" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "WIFNkMi7k80-", "outputId": "19524c85-26d3-447b-a696-00c39e346810" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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Actual VolatilityCNN Predicted Volatility
Date
2021-02-030.1693170.099267
2021-02-040.1687030.109933
2021-02-050.1628070.103713
2021-02-080.1617440.107760
2021-02-090.1601360.109859
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Model: \"sequential_22\"\n",
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ gru_15 (GRU)                    │ (None, 21, 32)         │         5,760 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_26          │ (None, 21, 32)         │           128 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_88 (Dropout)            │ (None, 21, 32)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ gru_16 (GRU)                    │ (None, 21, 64)         │        18,816 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_27          │ (None, 21, 64)         │           256 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_89 (Dropout)            │ (None, 21, 64)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ gru_17 (GRU)                    │ (None, 128)            │        74,496 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_90 (Dropout)            │ (None, 128)            │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_98 (Dense)                │ (None, 128)            │        16,512 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_91 (Dropout)            │ (None, 128)            │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_99 (Dense)                │ (None, 1)              │           129 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m116,097\u001b[0m (453.50 KB)\n" ], "text/html": [ "
 Total params: 116,097 (453.50 KB)\n",
              "
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 Trainable params: 115,905 (452.75 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m192\u001b[0m (768.00 B)\n" ], "text/html": [ "
 Non-trainable params: 192 (768.00 B)\n",
              "
\n" ] }, "metadata": {} } ], "source": [ "# initialse the GRU model with input shape (21,26)\n", "tf.keras.utils.set_random_seed(42)\n", "gru_model = get_gru_model(\n", " input_shape=(\n", " X_train_seq.shape[1],\n", " X_train_seq.shape[2]\n", " )\n", ")" ] }, { "cell_type": "markdown", "source": [ "GRU compile" ], "metadata": { "id": "gTGGw40fDvDo" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "e4GAB0EboPIM" }, "outputs": [], "source": [ "# compile GRU model adam optimiser with MSE loss and MAE as metric\n", "gru_model.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "call backs and training GRU" ], "metadata": { "id": "KYVJYq5LDyJz" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "18txv7VMoRqN", "outputId": "9d071f96-b723-4311-e327-7d2a956dc0b2" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m13s\u001b[0m 70ms/step - loss: 0.2068 - mae: 0.3408 - val_loss: 0.0290 - val_mae: 0.0900 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 15ms/step - loss: 0.0329 - mae: 0.1357 - val_loss: 0.0340 - val_mae: 0.1004 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0143 - mae: 0.0884 - val_loss: 0.0296 - val_mae: 0.0989 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0098 - mae: 0.0692 - val_loss: 0.0242 - val_mae: 0.0892 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0080 - mae: 0.0605 - val_loss: 0.0137 - val_mae: 0.0741 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0069 - mae: 0.0557 - val_loss: 0.0069 - val_mae: 0.0550 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 25ms/step - loss: 0.0055 - mae: 0.0510 - val_loss: 0.0071 - val_mae: 0.0548 - learning_rate: 0.0010\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0050 - mae: 0.0483 - val_loss: 0.0060 - val_mae: 0.0487 - learning_rate: 0.0010\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0047 - mae: 0.0468 - val_loss: 0.0047 - val_mae: 0.0426 - learning_rate: 0.0010\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0044 - mae: 0.0445 - val_loss: 0.0035 - val_mae: 0.0373 - learning_rate: 0.0010\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0040 - mae: 0.0433 - val_loss: 0.0027 - val_mae: 0.0349 - learning_rate: 0.0010\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0040 - mae: 0.0430 - val_loss: 0.0060 - val_mae: 0.0449 - learning_rate: 0.0010\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0037 - mae: 0.0418 - val_loss: 0.0029 - val_mae: 0.0378 - learning_rate: 0.0010\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0037 - mae: 0.0414 - val_loss: 0.0054 - val_mae: 0.0454 - learning_rate: 0.0010\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0034 - mae: 0.0399 - val_loss: 0.0036 - val_mae: 0.0370 - learning_rate: 5.0000e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 23ms/step - loss: 0.0033 - mae: 0.0392 - val_loss: 0.0038 - val_mae: 0.0380 - learning_rate: 5.0000e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 26ms/step - loss: 0.0033 - mae: 0.0392 - val_loss: 0.0036 - val_mae: 0.0383 - learning_rate: 5.0000e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0031 - mae: 0.0387 - val_loss: 0.0040 - val_mae: 0.0376 - learning_rate: 2.5000e-04\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0029 - mae: 0.0372 - val_loss: 0.0026 - val_mae: 0.0366 - learning_rate: 2.5000e-04\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0031 - mae: 0.0381 - val_loss: 0.0032 - val_mae: 0.0361 - learning_rate: 2.5000e-04\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0030 - mae: 0.0380 - val_loss: 0.0035 - val_mae: 0.0367 - learning_rate: 1.2500e-04\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0027 - mae: 0.0365 - val_loss: 0.0035 - val_mae: 0.0366 - learning_rate: 1.2500e-04\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0029 - mae: 0.0378 - val_loss: 0.0032 - val_mae: 0.0356 - learning_rate: 1.2500e-04\n", "Epoch 24/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0030 - mae: 0.0368 - val_loss: 0.0035 - val_mae: 0.0363 - learning_rate: 6.2500e-05\n", "Epoch 25/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0026 - mae: 0.0359 - val_loss: 0.0033 - val_mae: 0.0355 - learning_rate: 6.2500e-05\n", "Epoch 26/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 22ms/step - loss: 0.0030 - mae: 0.0365 - val_loss: 0.0032 - val_mae: 0.0350 - learning_rate: 6.2500e-05\n", "Epoch 27/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - loss: 0.0031 - mae: 0.0376 - val_loss: 0.0033 - val_mae: 0.0351 - learning_rate: 3.1250e-05\n" ] } ], "source": [ "# call backs\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_GRU.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# Train GRU model\n", "history_gru = gru_model.fit(\n", " X_train_seq,\n", " y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "BEa9MrfzoTkN", "outputId": "6324c70c-21be-4baf-c854-579aeb30532e" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# GRU training and validation loss\n", "plot_history(history_gru, \"GRU\")" ] }, { "cell_type": "markdown", "source": [ "GRU predictions" ], "metadata": { "id": "Rm5A49r6EDAt" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "fyiRSY4RsfYK", "outputId": "7b04b33a-5e6c-4931-eb90-ff3933964523" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step\n" ] } ], "source": [ "# generate GRU predictions on test data\n", "gru_predictions, target_test_actual = predict_and_inverse_scale(\n", " gru_model,\n", " X_test_seq,\n", " y_test_seq,\n", " y_scaler\n", ")\n", "\n" ] }, { "cell_type": "markdown", "source": [ "GRU results" ], "metadata": { "id": "A6qhDg7uEFIw" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "tG-gDuv1otzo", "outputId": "e388b6d3-6c13-41d1-d6f2-2ca407d8f98e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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Actual VolatilityGRU Predicted Volatility
Date
2021-02-030.1693170.172193
2021-02-040.1687030.173190
2021-02-050.1628070.175224
2021-02-080.1617440.174919
2021-02-090.1601360.174667
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Model: \"sequential_23\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ lstm_30 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m79,360\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_92 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ lstm_31 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m49,408\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_93 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ lstm_32 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m12,416\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_94 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_100 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m1,056\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_95 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_101 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m33\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ lstm_30 (LSTM)                  │ (None, 21, 128)        │        79,360 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_92 (Dropout)            │ (None, 21, 128)        │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ lstm_31 (LSTM)                  │ (None, 21, 64)         │        49,408 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_93 (Dropout)            │ (None, 21, 64)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ lstm_32 (LSTM)                  │ (None, 32)             │        12,416 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_94 (Dropout)            │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_100 (Dense)               │ (None, 32)             │         1,056 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_95 (Dropout)            │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_101 (Dense)               │ (None, 1)              │            33 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m142,273\u001b[0m (555.75 KB)\n" ], "text/html": [ "
 Total params: 142,273 (555.75 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m142,273\u001b[0m (555.75 KB)\n" ], "text/html": [ "
 Trainable params: 142,273 (555.75 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" ], "text/html": [ "
 Non-trainable params: 0 (0.00 B)\n",
              "
\n" ] }, "metadata": {} } ], "source": [ "# call the LSTM model with input shape (21,26)\n", "tf.keras.utils.set_random_seed(42)\n", "lstm_model = get_lstm_model(\n", " input_shape=(\n", " X_train_seq.shape[1],\n", " X_train_seq.shape[2]\n", " )\n", ")" ] }, { "cell_type": "markdown", "source": [ "compile LSTM" ], "metadata": { "id": "tv3RWMEvEzfb" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "qCarAlgzq_Ep" }, "outputs": [], "source": [ "# compile LSTM model with adam optimiser and MSE as loss and MAE as metric\n", "lstm_model.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "call backs and training LSTM" ], "metadata": { "id": "SAJ6Ic1JE9kp" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "CVLyn8Ghq_Hy", "outputId": "51e9326e-ddb8-4277-eda6-86b2aaab6c43" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 19ms/step - loss: 0.0096 - mae: 0.0627 - val_loss: 0.0067 - val_mae: 0.0415 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0050 - mae: 0.0449 - val_loss: 0.0085 - val_mae: 0.0516 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0044 - mae: 0.0410 - val_loss: 0.0091 - val_mae: 0.0573 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0038 - mae: 0.0385 - val_loss: 0.0125 - val_mae: 0.0652 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0040 - mae: 0.0399 - val_loss: 0.0039 - val_mae: 0.0364 - learning_rate: 5.0000e-04\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 22ms/step - loss: 0.0029 - mae: 0.0339 - val_loss: 0.0022 - val_mae: 0.0274 - learning_rate: 5.0000e-04\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0029 - mae: 0.0327 - val_loss: 0.0028 - val_mae: 0.0309 - learning_rate: 5.0000e-04\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0027 - mae: 0.0329 - val_loss: 0.0015 - val_mae: 0.0244 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0026 - mae: 0.0317 - val_loss: 0.0016 - val_mae: 0.0246 - learning_rate: 5.0000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0026 - mae: 0.0320 - val_loss: 0.0023 - val_mae: 0.0258 - learning_rate: 5.0000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0029 - mae: 0.0326 - val_loss: 0.0036 - val_mae: 0.0339 - learning_rate: 5.0000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0026 - mae: 0.0314 - val_loss: 0.0017 - val_mae: 0.0251 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0023 - mae: 0.0302 - val_loss: 0.0017 - val_mae: 0.0262 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0024 - mae: 0.0300 - val_loss: 0.0018 - val_mae: 0.0254 - learning_rate: 2.5000e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0023 - mae: 0.0295 - val_loss: 0.0016 - val_mae: 0.0245 - learning_rate: 1.2500e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0022 - mae: 0.0297 - val_loss: 0.0014 - val_mae: 0.0231 - learning_rate: 1.2500e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0023 - mae: 0.0293 - val_loss: 0.0017 - val_mae: 0.0248 - learning_rate: 1.2500e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0021 - mae: 0.0289 - val_loss: 0.0015 - val_mae: 0.0228 - learning_rate: 6.2500e-05\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step - loss: 0.0022 - mae: 0.0290 - val_loss: 0.0018 - val_mae: 0.0246 - learning_rate: 6.2500e-05\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0022 - mae: 0.0288 - val_loss: 0.0015 - val_mae: 0.0221 - learning_rate: 6.2500e-05\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0021 - mae: 0.0284 - val_loss: 0.0013 - val_mae: 0.0212 - learning_rate: 3.1250e-05\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0023 - mae: 0.0294 - val_loss: 0.0016 - val_mae: 0.0237 - learning_rate: 3.1250e-05\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0025 - mae: 0.0291 - val_loss: 0.0017 - val_mae: 0.0245 - learning_rate: 3.1250e-05\n", "Epoch 24/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0021 - mae: 0.0288 - val_loss: 0.0017 - val_mae: 0.0240 - learning_rate: 3.1250e-05\n", "Epoch 25/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0025 - mae: 0.0291 - val_loss: 0.0016 - val_mae: 0.0237 - learning_rate: 1.5625e-05\n", "Epoch 26/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0024 - mae: 0.0287 - val_loss: 0.0016 - val_mae: 0.0237 - learning_rate: 1.5625e-05\n", "Epoch 27/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0022 - mae: 0.0285 - val_loss: 0.0018 - val_mae: 0.0248 - learning_rate: 1.5625e-05\n", "Epoch 28/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 17ms/step - loss: 0.0027 - mae: 0.0302 - val_loss: 0.0018 - val_mae: 0.0243 - learning_rate: 7.8125e-06\n", "Epoch 29/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 21ms/step - loss: 0.0020 - mae: 0.0280 - val_loss: 0.0018 - val_mae: 0.0247 - learning_rate: 7.8125e-06\n" ] } ], "source": [ "# call back\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_LSTM.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "\n", "# Train LSTM model\n", "history_lstm = lstm_model.fit(\n", " X_train_seq,\n", " y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "RsZVnkK4q_Kx", "outputId": "36f29301-38b7-4bcd-905d-4a1e951699f7" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# LSTM training and validation loss\n", "plot_history(history_lstm, \"LSTM\")" ] }, { "cell_type": "markdown", "source": [ "make prediction and plot actual and prediction values" ], "metadata": { "id": "l74Zg4lTFJch" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 837 }, "id": "tAv6qH7mrN4r", "outputId": "ca672b4a-bded-4408-dd0e-8a51b7a333a1" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step\n", "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [ " Actual Volatility LSTM Predicted Volatility\n", "Date \n", "2021-02-03 0.169317 0.142559\n", "2021-02-04 0.168703 0.148156\n", "2021-02-05 0.162807 0.151997\n", "2021-02-08 0.161744 0.152484\n", "2021-02-09 0.160136 0.150516" ], "text/html": [ "\n", "
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Actual VolatilityLSTM Predicted Volatility
Date
2021-02-030.1693170.142559
2021-02-040.1687030.148156
2021-02-050.1628070.151997
2021-02-080.1617440.152484
2021-02-090.1601360.150516
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Model: \"sequential_24\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ bidirectional_6 (\u001b[38;5;33mBidirectional\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m158,720\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_96 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ bidirectional_7 (\u001b[38;5;33mBidirectional\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m164,352\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_97 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_102 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m8,256\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_103 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m2,080\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_104 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m528\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_98 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_105 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m17\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ bidirectional_6 (Bidirectional) │ (None, 21, 256)        │       158,720 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_96 (Dropout)            │ (None, 21, 256)        │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ bidirectional_7 (Bidirectional) │ (None, 128)            │       164,352 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_97 (Dropout)            │ (None, 128)            │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_102 (Dense)               │ (None, 64)             │         8,256 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_103 (Dense)               │ (None, 32)             │         2,080 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_104 (Dense)               │ (None, 16)             │           528 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_98 (Dropout)            │ (None, 16)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_105 (Dense)               │ (None, 1)              │            17 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m333,953\u001b[0m (1.27 MB)\n" ], "text/html": [ "
 Total params: 333,953 (1.27 MB)\n",
              "
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 Trainable params: 333,953 (1.27 MB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" ], "text/html": [ "
 Non-trainable params: 0 (0.00 B)\n",
              "
\n" ] }, "metadata": {} } ], "source": [ "# calls bilstm with input shape (21,26)\n", "tf.keras.utils.set_random_seed(42)\n", "bilstm_model = get_bilstm_model(\n", " input_shape=(\n", " X_train_seq.shape[1],\n", " X_train_seq.shape[2]\n", " )\n", ")" ] }, { "cell_type": "markdown", "source": [ "compile BI-LSTM" ], "metadata": { "id": "c6S_fGU1Ghlm" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "DQGiBlJ5spBz" }, "outputs": [], "source": [ "# compile Bi-LSTM model with adam optimiser and MSE as loss and MAE as metric\n", "bilstm_model.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "Call back and training Bi-LSTM" ], "metadata": { "id": "Lxlhs-SeGvSq" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "8ZbEf4rGspIj", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "767adf89-939b-4fed-ba58-1464cda06f55" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 23ms/step - loss: 0.0099 - mae: 0.0655 - val_loss: 0.0044 - val_mae: 0.0398 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0056 - mae: 0.0462 - val_loss: 0.0177 - val_mae: 0.0820 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0046 - mae: 0.0404 - val_loss: 0.0018 - val_mae: 0.0261 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - loss: 0.0039 - mae: 0.0379 - val_loss: 0.0024 - val_mae: 0.0365 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - loss: 0.0035 - mae: 0.0364 - val_loss: 0.0024 - val_mae: 0.0341 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 49ms/step - loss: 0.0032 - mae: 0.0361 - val_loss: 0.0019 - val_mae: 0.0301 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 65ms/step - loss: 0.0028 - mae: 0.0321 - val_loss: 0.0013 - val_mae: 0.0225 - learning_rate: 5.0000e-04\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 74ms/step - loss: 0.0025 - mae: 0.0316 - val_loss: 0.0011 - val_mae: 0.0216 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0027 - mae: 0.0313 - val_loss: 0.0014 - val_mae: 0.0249 - learning_rate: 5.0000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0026 - mae: 0.0310 - val_loss: 0.0016 - val_mae: 0.0266 - learning_rate: 5.0000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0023 - mae: 0.0299 - val_loss: 0.0022 - val_mae: 0.0238 - learning_rate: 5.0000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0024 - mae: 0.0295 - val_loss: 0.0025 - val_mae: 0.0271 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0024 - mae: 0.0289 - val_loss: 0.0018 - val_mae: 0.0236 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0023 - mae: 0.0290 - val_loss: 0.0022 - val_mae: 0.0241 - learning_rate: 2.5000e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0026 - mae: 0.0295 - val_loss: 0.0020 - val_mae: 0.0233 - learning_rate: 1.2500e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0023 - mae: 0.0288 - val_loss: 0.0028 - val_mae: 0.0262 - learning_rate: 1.2500e-04\n" ] } ], "source": [ "# callback\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_BILSTM.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "\n", "# Train LSTM model\n", "history_bilstm = bilstm_model.fit(\n", " X_train_seq,\n", " y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "0U_nodIJspLs", "outputId": "1f40a7ec-2951-4e78-8f96-4d51629938c0" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# Bi-LSTM training and validation loss\n", "plot_history(history_bilstm, \"Bi-LSTM\")" ] }, { "cell_type": "markdown", "source": [ "making predictions on test data" ], "metadata": { "id": "VAkln6vEG_3L" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ktS3ndmks1cG", "outputId": "8ba88fea-c15d-42d8-a4a2-68bd7392cacd" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 26ms/step\n" ] } ], "source": [ "# making predictions on test data by Bi-LSTM\n", "bilstm_predictions, target_test_actual = predict_and_inverse_scale(\n", " bilstm_model,\n", " X_test_seq,\n", " y_test_seq,\n", " y_scaler\n", ")" ] }, { "cell_type": "markdown", "source": [ "create results data frame and plot actual and predicted values" ], "metadata": { "id": "1yW-u3iYHJjY" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "4rj-Ihyds1kx", "outputId": "3f5face2-6a02-4cf7-b507-75b6ef985cad" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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Actual VolatilityBi-LSTM Predicted Volatility
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2021-02-040.1687030.146841
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "bilstm_results", "summary": "{\n \"name\": \"bilstm_results\",\n \"rows\": 773,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2021-02-03 00:00:00\",\n \"max\": \"2024-02-29 00:00:00\",\n \"num_unique_values\": 773,\n \"samples\": [\n \"2022-07-14 00:00:00\",\n \"2023-10-16 00:00:00\",\n \"2023-02-21 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Actual Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06338538102384665,\n \"min\": 0.06803955684916459,\n \"max\": 0.3489603286420088,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.22844653419723016,\n 0.12527449320834527,\n 0.1586309742806594\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Bi-LSTM Predicted Volatility\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 773,\n \"samples\": [\n 0.25988128781318665,\n 0.14181159436702728,\n 0.142354816198349\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 369 } ], "source": [ "# results and ploting\n", "bilstm_results = create_results_and_plot(\n", " model_name=\"Bi-LSTM\",\n", " predictions=bilstm_predictions,\n", " actual=target_test_actual,\n", " y_test=y_test,\n", " lookback=lookback\n", ")\n", "\n", "bilstm_results.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "EUcgRDCk70wq", "outputId": "6f826877-f859-4354-b068-8a61cda2aec5" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "{'MAE': 0.01928102388421412, 'RMSE': np.float64(0.024755477215872543), 'QLIKE': np.float32(0.057786327)}\n" ] } ], "source": [ "calculate_metrics(\"Bi-LSTM\", bilstm_results)\n", "print(MODEL_RESULTS[\"Bi-LSTM\"])\n" ] }, { "cell_type": "markdown", "metadata": { "id": "1h0aShcPqjTo" }, "source": [ "## PatchTST - Time Series Transformer model for predicting Realised volatility" ] }, { "cell_type": "markdown", "source": [ "PatchTST architecture" ], "metadata": { "id": "LV2EVci_Hai1" } }, { "cell_type": "markdown", "source": [ "In patchTST, one transformer encoder block was used, which has standard attention and feed forward network.\n", "1. multi head self attention - 2 head and key dimension is 32,\n", "2. residual connection - adds the original input and preserve raw temporal information\n", "3. layer normalisaation - normalises across the feature dimension for trainind stability\n", "4. feed forward network - 2 dence layers with 64 input dimension\n", "5. second residual and normalisation" ], "metadata": { "id": "N8W6RMOKhn7q" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "taRLWCvihwMR" }, "outputs": [], "source": [ "def patchtst_encoder(inputs):\n", "\n", " # transformer block for patchTST\n", "\n", " # 1. Attention\n", " attention = MultiHeadAttention(\n", " num_heads=2,\n", " key_dim=32\n", " )(inputs, inputs)\n", "\n", " # 2. Residual connection\n", " x = Add()([inputs, attention])\n", "\n", " # 3. Normalisation\n", " x = LayerNormalization()(x)\n", "\n", " # 4. Feed Forward Network\n", " ffn = Dense(64, activation=\"relu\")(x)\n", " ffn = Dense(inputs.shape[-1])(ffn)\n", "\n", " # 5. second residual\n", " x = Add()([x, ffn])\n", "\n", " # 6. Normalisation\n", " x = LayerNormalization()(x)\n", "\n", " return x\n", "\n", "\n", "def build_patchtst(input_shape):\n", "\n", " # Input\n", " inputs = Input(shape=input_shape)\n", "\n", " # Create local representations\n", " # Conv1D is used to create patchs and passes through transformer encoder block\n", " x = Conv1D(\n", " filters=64,\n", " kernel_size=4,\n", " padding=\"valid\"\n", " )(inputs)\n", "\n", " # Transformer encoder\n", " x = patchtst_encoder(x)\n", "\n", " # Converts all patch to one vector\n", " x = Flatten()(x)\n", "\n", " # Regression head\n", " x = Dense(32, activation=\"relu\")(x)\n", "\n", " # linear output for continous volatility regression\n", " outputs = Dense(1)(x)\n", "\n", " # Model\n", " model = Model(inputs, outputs)\n", "\n", " return model\n" ] }, { "cell_type": "markdown", "source": [ "PatchTST installation" ], "metadata": { "id": "8yyqA9RWlkR1" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 618 }, "id": "fNG3OOwRs2xo", "outputId": "1426b2e3-3ffc-40db-9809-74f5ffc3e616" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"functional_31\"\u001b[0m\n" ], "text/html": [ "
Model: \"functional_31\"\n",
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              "┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│ input_layer_31      │ (None, 21, 26)    │          0 │ -                 │\n",
              "│ (InputLayer)        │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ conv1d_29 (Conv1D)  │ (None, 18, 64)    │      6,720 │ input_layer_31[0… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ multi_head_attenti… │ (None, 18, 64)    │     16,640 │ conv1d_29[0][0],  │\n",
              "│ (MultiHeadAttentio… │                   │            │ conv1d_29[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_15 (Add)        │ (None, 18, 64)    │          0 │ conv1d_29[0][0],  │\n",
              "│                     │                   │            │ multi_head_atten… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 18, 64)    │        128 │ add_15[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_106 (Dense)   │ (None, 18, 64)    │      4,160 │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_107 (Dense)   │ (None, 18, 64)    │      4,160 │ dense_106[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_16 (Add)        │ (None, 18, 64)    │          0 │ layer_normalizat… │\n",
              "│                     │                   │            │ dense_107[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 18, 64)    │        128 │ add_16[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ flatten_3 (Flatten) │ (None, 1152)      │          0 │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_108 (Dense)   │ (None, 32)        │     36,896 │ flatten_3[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
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\n" ] }, "metadata": {} } ], "source": [ "# installing patchTST model with input shape (21,26)\n", "tf.keras.utils.set_random_seed(42)\n", "patchtst_model = build_patchtst(\n", " input_shape=(\n", " X_train_seq.shape[1],\n", " X_train_seq.shape[2]\n", " )\n", ")\n", "\n", "patchtst_model.summary()" ] }, { "cell_type": "markdown", "source": [ "Compiling PatchTST" ], "metadata": { "id": "Yym1pkhZlv-k" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "SNvRAflZhwP4" }, "outputs": [], "source": [ "# compiling patchTST with adam optimiser, mse as loss and mae as metric\n", "patchtst_model.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "Call backs and training PatchTST" ], "metadata": { "id": "7qTiRTd6l9sr" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "kXV-FIMTs23D", "outputId": "72fe245e-e3dc-4a17-dd8b-cc4450711746" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m10s\u001b[0m 58ms/step - loss: 0.1190 - mae: 0.1813 - val_loss: 0.0148 - val_mae: 0.0702 - learning_rate: 0.0010\n", "Epoch 2/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 0.0031 - mae: 0.0383 - val_loss: 0.0055 - val_mae: 0.0430 - learning_rate: 0.0010\n", "Epoch 3/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 0.0021 - mae: 0.0327 - val_loss: 0.0039 - val_mae: 0.0395 - learning_rate: 0.0010\n", "Epoch 4/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 8ms/step - loss: 0.0016 - mae: 0.0292 - val_loss: 0.0031 - val_mae: 0.0330 - learning_rate: 0.0010\n", "Epoch 5/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 0.0013 - mae: 0.0260 - val_loss: 0.0025 - val_mae: 0.0306 - learning_rate: 0.0010\n", "Epoch 6/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 0.0010 - mae: 0.0236 - val_loss: 0.0022 - val_mae: 0.0276 - learning_rate: 0.0010\n", "Epoch 7/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 8.5066e-04 - mae: 0.0217 - val_loss: 0.0021 - val_mae: 0.0264 - learning_rate: 0.0010\n", "Epoch 8/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 7.0278e-04 - mae: 0.0196 - val_loss: 0.0020 - val_mae: 0.0256 - learning_rate: 0.0010\n", "Epoch 9/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 6.0783e-04 - mae: 0.0183 - val_loss: 0.0021 - val_mae: 0.0255 - learning_rate: 0.0010\n", "Epoch 10/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 5.3896e-04 - mae: 0.0173 - val_loss: 0.0020 - val_mae: 0.0256 - learning_rate: 0.0010\n", "Epoch 11/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 4.9737e-04 - mae: 0.0166 - val_loss: 0.0020 - val_mae: 0.0253 - learning_rate: 0.0010\n", "Epoch 12/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 4.2387e-04 - mae: 0.0153 - val_loss: 0.0019 - val_mae: 0.0247 - learning_rate: 5.0000e-04\n", "Epoch 13/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 4.0349e-04 - mae: 0.0149 - val_loss: 0.0019 - val_mae: 0.0243 - learning_rate: 5.0000e-04\n", "Epoch 14/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 3.8577e-04 - mae: 0.0146 - val_loss: 0.0018 - val_mae: 0.0241 - learning_rate: 5.0000e-04\n", "Epoch 15/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 3.6922e-04 - mae: 0.0143 - val_loss: 0.0019 - val_mae: 0.0242 - learning_rate: 5.0000e-04\n", "Epoch 16/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 3.5575e-04 - mae: 0.0140 - val_loss: 0.0020 - val_mae: 0.0255 - learning_rate: 2.5000e-04\n", "Epoch 17/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 3.5152e-04 - mae: 0.0139 - val_loss: 0.0020 - val_mae: 0.0257 - learning_rate: 2.5000e-04\n", "Epoch 18/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 3.4543e-04 - mae: 0.0138 - val_loss: 0.0021 - val_mae: 0.0259 - learning_rate: 2.5000e-04\n", "Epoch 19/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 3.2707e-04 - mae: 0.0134 - val_loss: 0.0019 - val_mae: 0.0247 - learning_rate: 1.2500e-04\n", "Epoch 20/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 3.2102e-04 - mae: 0.0132 - val_loss: 0.0020 - val_mae: 0.0248 - learning_rate: 1.2500e-04\n", "Epoch 21/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 3.1799e-04 - mae: 0.0132 - val_loss: 0.0020 - val_mae: 0.0249 - learning_rate: 1.2500e-04\n", "Epoch 22/100\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 3.1020e-04 - mae: 0.0130 - val_loss: 0.0019 - val_mae: 0.0244 - learning_rate: 6.2500e-05\n" ] } ], "source": [ "# Callbacks\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_PATCHTST.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training PatchTST\n", "history_patchtst = patchtst_model.fit(\n", " X_train_seq,\n", " y_train_seq,\n", " validation_split=0.2,\n", " epochs=100,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "IfpY_Ni9s26F", "outputId": "43606d8a-b7b7-445b-891b-227c81c2dbe8" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# LSTM training and validation loss\n", "plot_history(history_patchtst, \"patchtst_model\")" ] }, { "cell_type": "markdown", "source": [ "PatchTST predictions on test data" ], "metadata": { "id": "fsIgCzDcmKE8" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "L0P0x5mEs2_a", "outputId": "018519c6-0a5f-464e-839c-c65c82e81259" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 30ms/step\n" ] } ], "source": [ "# predicting on test data and inverse scale\n", "patchtst_predictions, target_test_actual = predict_and_inverse_scale(\n", " patchtst_model,\n", " X_test_seq,\n", " y_test_seq,\n", " y_scaler\n", ")" ] }, { "cell_type": "markdown", "source": [ "Results of PatchTST and plotting actual and predicted values" ], "metadata": { "id": "XC2QfNaJmcoq" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 599 }, "id": "iUr56UAMs3CP", "outputId": "98743c70-8c5a-4f34-80a9-85ed37b98953" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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IQPM+AvkM5HaUL7/8MqRD60aMGIG4uDjlvpwdlldWOHbsGHbu3IlRo0ZphkD269cPnTt3Dtl5ANJ7/Oeff7B3796gn5uenq6pEunSpQuio6OV9+FwOLBmzRpce+21SElJUfZr06ZNQEMwZSUlJUhISEBCQgLatGmDJ554An369MEXX3wBQPr3Lv87dDgcOHnypNIGEci/qb/++gsZGRl44IEHvFqQfP3u33333Zr7ffv2rXJVDH8WLVqE119/HWlpafjiiy/w8MMPo0OHDhg4cCCOHj1arWMSEZ0ODOSJiE6DXr164fPPP0deXh42b96Mxx9/HEVFRRg+fDj+/fdfAMDvv/+OL774AtOnT0daWprS65qeno4TJ04AAP7++28YDAb06NFDc/yhQ4di9erVWLNmDTZt2oTc3FzMnDlTE+QG6uabb0ZSUhLWrFmjbAsLC4PVavW5f3l5uRKUyd99LUslL4OmDuB8adSoEQYPHowvvvhCec6HH34Ig8GAG2+8EQBw8OBBAEC7du00zzWZTGjVqpXyuD/ffPMNLrjgAlgsFsTHxyMhIQHz589HQUFBpc+rTaNGjcKvv/6qnPuyZctgs9lw2223BfT8xo0bIz09XfPVqlUrANLPKyUlxauloUOHDsrjamlpaZr7OTk5yM/Px9tvv60EdPLXmDFjAADZ2dkApJLrdu3awWCovHsvkM9gxIgRuOiii3DHHXegSZMmGDlyJD799NMaB/UtWrTQ3JeD+ry8PADun4ev1pRA21UCNW3aNOTn5+Occ85B586d8cgjj2DHjh0BPdfzfQDSe5HfR3Z2NsrKymr8PiwWi3Jx6Oeff8bhw4fx66+/Kr9fTqcTs2fPRtu2bWE2m9G4cWMkJCRgx44dAf2bksv0q2o9ks/Fsy1A/Z6DpdPpcO+992LLli3Izc3Fl19+icsvvxw//vgjRo4cWa1jEhGdDgzkiYhOI5PJhF69emH69OmYP38+bDYbli1bBkBapg4ALrjgAgBA06ZNsWrVKpw6dQqDBg3CqVOn8Pbbb+OKK67wylo1a9YM6enpGDhwIM4//3xERETU6DybN2+OU6dOKfeTk5PhcDiUYE1mtVpx8uRJJdsXHx8Ps9mM48ePex1T3qbODPpz6623orCwEN988w2sViuWL1+Oyy67rMZ9vQDwyy+/4JprroHFYsEbb7yBlStXYvXq1bj55pv9Dvs7HUaOHAmj0ahk5T/44AP07NnT62LF6eB5sUUOnG+99VavrL/85WtgmD+BfgZhYWH4+eefsWbNGtx2223YsWMHRowYgUGDBlVruJnM1/KKAE7L5+953pdccgn279+PhQsXolOnTnj33Xdx3nnnKcu9VeZ0vQ+9Xq9cHOrbty+aNWumeXz69OmYPHkyLrnkEnzwwQdYtWoVVq9ejXPPPTfky//5e8+h0KhRI1xzzTVYuXIl+vXrhw0bNlR5UZCIqK5w2B0RUR2RB8fJAa5cQnr48GE0b94cgDTt/dtvv8XAgQPRo0cPHDp0CG+99VatnpcoisjMzNQM2pPXfP7zzz9xxRVXKNv//PNPOJ1O5XGdTofOnTvjzz//9Drupk2b0KpVK7+D7tSuueYaREVF4cMPP4TRaEReXp5mWr08pGrPnj1KVhCQLixkZGRo1pH2tHz5clgsFqxatUrTArBo0SKvfas71dufyo4XHx+PK6+8EkuXLsUtt9yCX3/9FXPmzAnJ67Zs2RJr1qzxGjS4e/du5fHKJCQkICoqCg6Ho9KfLSANBNy0aRNsNpvfgYPBfAY6nQ4DBw7EwIEDMWvWLEyfPh1PPvkk1q1bh/T09JB/RoD757Fv3z6vx3xt8yUuLs5rBQWr1erzIld8fDzGjBmDMWPGoLi4GJdccgmmTJmCO+64I/iTV0lMTITFYqnR+wjEZ599hgEDBmDBggWa7fn5+Zp11v19VnJ7wN9//13l79fp0rNnT/z00084fvx4lf8+iIjqAjPyRES1bN26dT4zZCtXrgTgLg8fOHAgAKnU1m63K/v17t0bTz31FDIzM9G2bduAyk8DlZOT47Vt/vz5yMnJwZAhQ5Rtl156KeLj4zF//nyvfcPDw5Up4wAwfPhw/PHHH5pgfs+ePfjxxx9xww03BHReYWFhuO6667By5UrMnz8fERERmuXZ0tPTYTKZMHfuXM3PdsGCBSgoKNCcjye9Xg9BEDSZ0czMTKxYscJr34iIiICWswuUXCnh75i33XYb/v33XzzyyCPQ6/UhK+294oor4HA48Prrr2u2z549G4IgVNkvrdfrMWzYMCxfvhx///231+Pq36Nhw4YhNzfX67UAd6Y40M9AXRUiky8aye0bVf1MqyMlJQWdOnXCkiVLUFxcrGz/6aefsHPnzoCO0bp1a/z888+abW+//bZXRv7kyZOa+5GRkWjTpo3P9pRgyZn0FStW4NixY8r2ffv2ec1FqOnreP43btmyZV495v4+q/POOw9paWmYM2eO12O1WSWRlZWltDapWa1WrF27FjqdLuStFEREocKMPBFRLbvvvvtQWlqK6667Du3bt4fVasVvv/2GTz75BKmpqUqPcZcuXTBp0iTMnTsXvXr1wk033YTY2Fj88ssv+Pjjj9G3b19s2LAB48ePx3vvvReSc2vZsqWyxJbFYsGGDRvw8ccfo1u3bpq1y8PCwvDss8/i3nvvxQ033IDBgwfjl19+wQcffIDnn39es2TahAkT8M477+DKK6/Eww8/DKPRiFmzZqFJkyZ46KGHAj63W2+9FUuWLMGqVatwyy23aNoFEhIS8Pjjj2Pq1KkYMmQIrrnmGuzZswdvvPEGevXqVelybVdeeSVmzZqFIUOG4Oabb0Z2djbmzZuHNm3aePUm9+jRA2vWrMGsWbOQkpKCtLQ09O7dO+D34EmebTBp0iQMHjzYK1i/8sor0ahRIyxbtgyXX355yNaxvvrqqzFgwAA8+eSTyMzMRNeuXfHDDz/gyy+/xAMPPBDQsnovvPAC1q1bh969e2P8+PHo2LEjTp06ha1bt2LNmjVK0D1q1CgsWbIEkydPxubNm9G3b1+UlJRgzZo1mDBhAoYOHRrwZzBt2jT8/PPPuPLKK9GyZUtkZ2fjjTfeQLNmzXDxxRcDkALm2NhYvPnmm4iKikJERAR69+7t1ecfrOnTp2Po0KG46KKLMGbMGOTl5eH1119Hp06dNMG9P3fccQfuvvtuDBs2DIMGDcL27duxatUqTYYaADp27Ij+/fujR48eiI+Px59//onPPvsMEydOrNH5y6ZMmYIffvgBF110Ee655x7lgk6nTp2wbdu2kLzGVVddhWnTpmHMmDG48MILsXPnTixdulRTLQNU/lnNnz8fV199Nbp164YxY8YgOTkZu3fvxj///INVq1aF5Dw9HTlyBOeffz4uvfRSDBw4EElJScjOzsZHH32E7du344EHHvD6vIiIzhh1MiufiKgB+e6778SxY8eK7du3FyMjI0WTySS2adNGvO+++8QTJ0547b9gwQKxR48eosViESMjI8W+ffuKH3/8sSiKovjEE0+IAMSpU6cq+wMQ77333mqd2x133CF27NhRjIqKEo1Go9imTRvx0UcfFQsLC33u//bbb4vt2rUTTSaT2Lp1a3H27Nk+l0Y7fPiwOHz4cDE6OlqMjIwUr7rqKnHv3r1BnZvdbheTk5NFAOLKlSt97vP666+L7du3F41Go9ikSRPxnnvu8Vq+ytfycwsWLBDbtm0rms1msX379uKiRYt8LvG1e/du8ZJLLhHDwsJEAMqyYdVdfs5ut4v33XefmJCQIAqC4HP5rwkTJogAxA8//LDKn5GsZcuWVS5hVlRUJD744INiSkqKaDQaxbZt24ovv/yy1+dX2e/TiRMnxHvvvVds3ry5aDQaxaSkJHHgwIHi22+/rdmvtLRUfPLJJ8W0tDRlv+HDh4v79+9X9gnkM1i7dq04dOhQMSUlRTSZTGJKSop40003eS3L+OWXX4odO3ZUllSTf+b+lp97+eWXvd4bfCwX9/HHH4vt27cXzWaz2KlTJ/Grr74Shw0bJrZv397vz1nmcDjERx99VGzcuLEYHh4uDh48WNy3b5/X8nPPPfeceP7554uxsbFiWFiY2L59e/H555/XLE/pb/k5X5+T5/FFUfo5du/eXfl3++6774oPPfSQaLFYqnwf8vJzlSkvLxcfeughMTk5WQwLCxMvuugicePGjV7/JkTR/2cliqK4YcMGcdCgQWJUVJQYEREhdunSRbOUnr9z8fXzkVW2/FxhYaH46quvioMHDxabNWsmGo1GMSoqSuzTp4/4zjvv+F32kcvPEdGZQBDFOpzsQ0RERBoPPvggFixYgKysLISHh9f16ZCHbt26ISEhAatXr67rU6mRa6+9ttrL3hERUd1jjzwREdEZory8HB988AGGDRvGIL6O2Ww2zawKAFi/fj22b9+O/v37181JVVNZWZnm/t69e7Fy5cp69z6IiMiNGXkiIqI6lp2djTVr1uCzzz7DihUrsHXrVmWoG9WNzMxMpKen49Zbb0VKSgp2796NN998EzExMfj777/RqFGjuj7FgCUnJ2P06NFo1aoVDh48iPnz56OiogJ//fUX2rZtW9enR0RE1cBhd0RERHXs33//xS233ILExETMnTuXQfwZIC4uDj169MC7776LnJwcRERE4Morr8QLL7xQr4J4ABgyZAg++ugjZGVlwWw2o0+fPpg+fTqDeCKieowZeSIiIiIiIqJ6hD3yRERERERERPUIA3kiIiIiIiKieoQ98j44nU4cO3YMUVFREAShrk+HiIiIiIiIznKiKKKoqAgpKSnQ6SrPuTOQ9+HYsWNo3rx5XZ8GERERERERNTCHDx9Gs2bNKt2HgbwPUVFRAKQfYHR0dB2fDREREREREZ3tCgsL0bx5cyUerQwDeR/kcvro6GgG8kRERERERHTaBNLezWF3RERERERERPUIA3kiIiIiIiKieoSBPBEREREREVE9wh55IiIiIqIzkMPhgM1mq+vTIKIQ0ev1MBgMIVninIE8EREREdEZpri4GEeOHIEoinV9KkQUQuHh4UhOTobJZKrRcRjIExERERGdQRwOB44cOYLw8HAkJCSEJHtHRHVLFEVYrVbk5OQgIyMDbdu2hU5X/U53BvJERERERGcQm80GURSRkJCAsLCwuj4dIgqRsLAwGI1GHDx4EFarFRaLpdrH4rA7IiIiIqIzEDPxRGefmmThNccJyVGIiIiIiIiI6LRgIE9ERERERERUjzCQJyIiIiKis54gCFixYkWtvkZqairmzJkT8uOozz0zMxOCIGDbtm01fh2qvxjIExERERFRyGzcuBF6vR5XXnll0M8NVSAcrKuvvhpDhgzx+dgvv/wCQRCwY8eOkL/u4sWLERsb67X9jz/+wJ133unzOc2bN8fx48fRqVMnAMD69eshCALy8/NDfn505jojAvl58+YhNTUVFosFvXv3xubNm/3u+/nnn6Nnz56IjY1FREQEunXrhvfff1+zz+jRoyEIgubL3z9MIiIiIiIKnQULFuC+++7Dzz//jGPHjtX16QRk3LhxWL16NY4cOeL12KJFi9CzZ0906dLltJ1PQkICwsPDfT6m1+uRlJQEg4ELkDVkdR7If/LJJ5g8eTKeeeYZbN26FV27dsXgwYORnZ3tc//4+Hg8+eST2LhxI3bs2IExY8ZgzJgxWLVqlWa/IUOG4Pjx48rXRx99dDreDhERERFRSImiiFKrvU6+RFEM6lyLi4vxySef4J577sGVV16JxYsXe+3z9ddfo1evXrBYLGjcuDGuu+46AED//v1x8OBBPPjgg0oyDgCmTJmCbt26aY4xZ84cpKamKvf/+OMPDBo0CI0bN0ZMTAz69euHrVu3BnzeV111FRISErzOt7i4GMuWLcO4ceMAAMuXL8e5554Ls9mM1NRUzJw5s9Ljzpo1C507d0ZERASaN2+OCRMmoLi4GICUSR8zZgwKCgqU9ztlyhQAlVcmqEvrMzMzMWDAAABAXFwcBEHA6NGjsWTJEjRq1AgVFRWa51577bW47bbbAv650Jmrzi/jzJo1C+PHj8eYMWMAAG+++Sa+/fZbLFy4EI899pjX/v3799fcv//++/Hee+9hw4YNGDx4sLLdbDYjKSmpVs+diIiIiKi2ldkc6Pj0qqp3rAX/ThuMcFPgIcOnn36K9u3bo127drj11lvxwAMP4PHHH1eC8m+//RbXXXcdnnzySSxZsgRWqxUrV64EIFXedu3aFXfeeSfGjx8f1HkWFRXh9ttvx2uvvQZRFDFz5kxcccUV2Lt3L6Kioqp8vsFgwKhRo7B48WI8+eSTyvkuW7YMDocDN910E7Zs2YIbb7wRU6ZMwYgRI/Dbb79hwoQJaNSoEUaPHu3zuDqdDnPnzkVaWhoOHDiACRMm4H//+x/eeOMNXHjhhZgzZw6efvpp7NmzBwAQGRkZ1Ptu3rw5li9fjmHDhmHPnj2Ijo5GWFgYTCYTJk2ahK+++go33HADACA7Oxvffvstfvjhh6Beg85MdZqRt1qt2LJlC9LT05VtOp0O6enp2LhxY5XPF0URa9euxZ49e3DJJZdoHlu/fj0SExPRrl073HPPPTh58qTf41RUVKCwsFDzRUREREREwVmwYAFuvfVWAFKFbEFBAX766Sfl8eeffx4jR47E1KlT0aFDB3Tt2hWPP/44AKnyVq/XIyoqCklJSUEl5S699FLceuutaN++PTp06IC3334bpaWlmteuytixY7F//37NcxYtWoRhw4YhJiYGs2bNwsCBA/F///d/OOecczB69GhMnDgRL7/8st9jPvDAAxgwYABSU1Nx6aWX4rnnnsOnn34KADCZTIiJiYEgCMr7DTaQ1+v1iI+PBwAkJiYiKSkJMTExCAsLw80334xFixYp+37wwQdo0aKFV2KU6qc6zcjn5ubC4XCgSZMmmu1NmjTB7t27/T6voKAATZs2RUVFBfR6Pd544w0MGjRIeXzIkCG4/vrrkZaWhv379+OJJ57A5Zdfrgze8DRjxgxMnTo1dG+MiIgahMOnSiGKQItGvvsYiYhCIcyox7/TBle9Yy29dqD27NmDzZs344svvgAgZblHjBiBBQsWKMHjtm3bgs62B+LEiRN46qmnsH79emRnZ8PhcKC0tBSHDh0K+Bjt27fHhRdeiIULF6J///7Yt28ffvnlF0ybNg0AsGvXLgwdOlTznIsuughz5syBw+HwGWesWbMGM2bMwO7du1FYWAi73Y7y8nKUlpb67YEPlfHjx6NXr144evQomjZtisWLFyuzxKj+q/PS+uqIiorCtm3bUFxcjLVr12Ly5Mlo1aqV8h+IkSNHKvt27twZXbp0QevWrbF+/XoMHDjQ63iPP/44Jk+erNwvLCxE8+bNa/19EBFR/bXtcD6ue+NXRJkN2PxkOixB/M8uEVEwBEEIqry9rixYsAB2ux0pKSnKNlEUYTab8frrryuZ4mDpdDqvXn2bzaa5f/vtt+PkyZN49dVX0bJlS5jNZvTp0wdWqzWo1xo3bhzuu+8+zJs3D4sWLULr1q3Rr1+/oM8ZkHrZr7rqKtxzzz14/vnnER8fjw0bNmDcuHGwWq21Hsh3794dXbt2xZIlS3DZZZfhn3/+wbffflurr0mnT52W1jdu3Bh6vR4nTpzQbD9x4kSlpTQ6nQ5t2rRBt27d8NBDD2H48OGYMWOG3/1btWqFxo0bY9++fT4fN5vNiI6O1nwRERFVZtbq/yCKQGG5HYdOldb16RAR1Sm73Y4lS5Zg5syZ2LZtm/K1fft2pKSkKIOnu3TpgrVr1/o9jslkgsPh0GxLSEhAVlaWJpj3XEP9119/xaRJk3DFFVcow+hyc3ODfh833ngjdDodPvzwQyxZsgRjx45VMtgdOnTAr7/+6vW655xzjs9s/JYtW+B0OjFz5kxccMEFOOecc7ym+Pt6v8EymUwA4PM4d9xxBxYvXoxFixYhPT2dycqzSJ0G8iaTCT169ND8Y3Y6nVi7di369OkT8HGcTqfXREa1I0eO4OTJk0hOTq7R+RIREclOlbj/7hw6yUCeiBq2b775Bnl5eRg3bhw6deqk+Ro2bBgWLFgAAHjmmWfw0Ucf4ZlnnsGuXbuwc+dOvPjii8pxUlNT8fPPP+Po0aNKIN6/f3/k5OTgpZdewv79+zFv3jx89913mtdv27Yt3n//fezatQubNm3CLbfcUq3sf2RkJEaMGIHHH38cx48f1wyxe+ihh7B27Vo8++yz+O+///Dee+/h9ddfx8MPP+zzWG3atIHNZsNrr72GAwcO4P3338ebb76p2Sc1NVWpMs7NzUVpafB/T1q2bAlBEPDNN98gJydHmYoPADfffDOOHDmCd955B2PHjg362HTmqvPl5yZPnox33nkH7733Hnbt2oV77rkHJSUlyhT7UaNGKQMwAKmfffXq1Thw4AB27dqFmTNn4v3331eGahQXF+ORRx7B77//jszMTKxduxZDhw5FmzZtNFPtiYiIasLucGeGmJEnooZuwYIFSE9PR0xMjNdjw4YNw59//okdO3agf//+WLZsGb766it069YNl156KTZv3qzsO23aNGRmZqJ169ZISEgAIGXC33jjDcybNw9du3bF5s2bvYLnBQsWIC8vD+eddx5uu+02TJo0CYmJidV6L+PGjUNeXh4GDx6saRM477zz8Omnn+Ljjz9Gp06d8PTTT2PatGl+J9Z37doVs2bNwosvvohOnTph6dKlXlXEF154Ie6++26MGDECCQkJeOmll4I+36ZNm2Lq1Kl47LHH0KRJE0ycOFF5LCYmBsOGDUNkZCSuvfbaoI9NZy5BDHZxyFrw+uuv4+WXX0ZWVha6deuGuXPnonfv3gCkK3CpqanKmo5PPfUUPvnkExw5cgRhYWFo37497r//fowYMQIAUFZWhmuvvRZ//fUX8vPzkZKSgssuuwzPPvus11A9fwoLCxETE4OCggKW2RMRkU8DZ67H/pwSAMDoC1Mx5Zpz6/iMiOhsUV5ejoyMDKSlpcFisdT16VA9N3DgQJx77rmYO3duXZ8KofJ/38HEoWdEIH+mYSBPRERV6ffyOhx0ldQPbJ+IBaN71fEZEdHZgoE8hUJeXh7Wr1+P4cOH499//0W7du3q+pQIoQvkz/zxl0RERGcgdWn90fyyOjwTIiIib927d0deXh5efPFFBvFnIQbyRERE1WB3OpXbhWW2SvYkIiI6/TIzM+v6FKgW1fmwOyIiovpInZEvLLfX4ZkQERFRQ8NAnoiIqBpsDndGvrjCDrvqPhEREVFtYiBPRERUDXandlZscQWz8kRERHR6MJAnIiKqBnVpPQAUsE+eiIiIThMG8kRERNVgcw27M+gEAEBhGTPyREREdHowkCciIgqSwylCdCXk4yNMAIDCcmbkiYiI6PRgIE9ERBQk9aA7JZBnaT0R0Wm3fv16CIKA/Pz8uj6VOuX5c1i8eDFiY2Pr5FxSU1MxZ86cWn2N/v3744EHHgj5cTzPXRAErFixosavUxsYyBMREQVJPeiuUaQUyLNHnogautGjR0MQBAiCAJPJhDZt2mDatGmw2wNrPaqN4LN///7KOfn66t+/PwBg+/btuOaaa5CYmAiLxYLU1FSMGDEC2dnZmDJlSqXHEATB52vLwbX81aRJEwwbNgwHDhwI6Xv0ZcSIEfjvv/8C3v90BN8AcN9996FDhw4+Hzt06BD0ej2++uqrkL+uvws+n3/+OZ599lm/zzt+/Dguv/xyAEBmZiYEQcC2bdtCfn7VwUCeiIgoSHZNRt4MANh5tACzVv+HjftP1tVpERHVuSFDhuD48ePYu3cvHnroIUyZMgUvv/xynZ3P559/juPHj+P48ePYvHkzAGDNmjXKts8//xw5OTkYOHAg4uPjsWrVKuzatQuLFi1CSkoKSkpK8PDDDyv7Hz9+HM2aNcO0adM02yqzZ88eHDt2DMuWLcM///yDq6++Gg6Hw2s/URQDvuhRlbCwMCQmJobkWKE0btw47N69G7/99pvXY4sXL0ZiYiKuuOKK03Y+8fHxiIqK8vt4UlISzGbzaTufYDCQJyIiCpJNNbE+PtwIAFi66RDmrt2LZ7/5t65Oi4jOVqIIWEvq5ksUqz4/FbPZjKSkJLRs2RL33HMP0tPTlQzrrFmz0LlzZ0RERKB58+aYMGECiouLAUgZ0zFjxqCgoEDJYE+ZMgUAUFFRgUcffRTNmzeH2WxGmzZtsGDBAs3rbtmyBT179kR4eDguvPBC7NmzB4AUqCUlJSEpKQkJCQkAgEaNGinb4uPj8euvv6KgoADvvvsuunfvjrS0NAwYMACzZ89GWloaIiMjlf2TkpKg1+sRFRWl2VaZxMREJCcn45JLLsHTTz+Nf//9F/v27VOyxN999x169OgBs9mMDRs2wOl0YsaMGUhLS0NYWBi6du2Kzz77THPMlStX4pxzzkFYWBgGDBiAzMxMzeO+qhu+/vpr9OrVCxaLBY0bN8Z1110HQKpaOHjwIB588EGvCoMNGzagb9++CAsLQ/PmzTFp0iSUlJQoj2dnZ+Pqq69GWFgY0tLSsHTp0kp/Ft26dcN5552HhQsXaraLoojFixfj9ttvh8FgwE8//YTzzz8fZrMZycnJeOyxxyq9yPH++++jZ8+eyudy8803Izs7G4CUSR8wYAAAIC4uDoIgYPTo0cp7r6xEX11an5aWBgDo3r27Us3x888/w2g0IisrS/O8Bx54AH379q30Z1FThlo9OhER0VnI7ppYb9QLaBoXpnmMQ++IKORspcD0lLp57SeOAaaIaj89LCwMJ09KlUo6nQ5z585FWloaDhw4gAkTJuB///sf3njjDVx44YWYM2cOnn76aSUIj4yMBACMGjUKGzduxNy5c9G1a1dkZGQgNzdX8zpPPvkkZs6ciYSEBNx9990YO3Ysfv3114DOMSkpCXa7HV988QWGDx/ut1Q+FMLCpL8ZVqtV2fbYY4/hlVdeQatWrRAXF4cZM2bggw8+wJtvvom2bdvi559/xq233oqEhAT069cPhw8fxvXXX497770Xd955J/7880889NBDlb7ut99+i+uuuw5PPvkklixZAqvVipUrVwKQqha6du2KO++8E+PHj1ees3//fgwZMgTPPfccFi5ciJycHEycOBETJ07EokWLAEjtFMeOHcO6detgNBoxadIkJYD2Z9y4cXjsscfw6quvIiJC+t1av349MjIyMHbsWBw9ehRXXHEFRo8ejSVLlmD37t0YP348LBaLcnHHk81mw7PPPot27dohOzsbkydPxujRo7Fy5Uo0b94cy5cvx7Bhw7Bnzx5ER0crn0MwNm/ejPPPPx9r1qzBueeeC5PJhPj4eLRq1Qrvv/8+HnnkEeVcli5dipdeeino1wgGA3kiIqIgyWvIG3Q6jOqTiuZx4Qg3G3D7ws0ot3mXSxIRNTSiKGLt2rVYtWoV7rvvPgDwGir23HPP4e6778Ybb7wBk8mEmJgYCIKgyXD/999/+PTTT7F69Wqkp6cDAFq1auX1es8//zz69esHQAqMr7zySpSXl8NisVR5rhdccAGeeOIJ3Hzzzbj77rtx/vnn49JLL8WoUaPQpEmTmvwYNI4fP45XXnkFTZs2Rbt27ZTy8mnTpmHQoEEApOqD6dOnY82aNejTpw8A6f1u2LABb731Fvr164f58+ejdevWmDlzJgCgXbt22LlzJ1588UW/r/38889j5MiRmDp1qrKta9euAKSqBXWVgWzGjBm45ZZblM+tbdu2mDt3rnIOhw4dwnfffYfNmzejV69eAIAFCxb47YGX3XzzzXjooYewbNkyJTO+aNEiXHzxxTjnnHPw5JNPonnz5nj99dchCALat2+PY8eO4dFHH8XTTz8Nnc67qHzs2LHK7VatWmHu3Lno1asXiouLERkZifj4eABSdUR15zB4VnTIxo0bh0WLFimB/Ndff43y8nLceOON1XqdQDGQJyIiCpI8td6gF2Ax6nF552QcPCmVGpZZGcgTUYgZw6XMeF29dhC++eYbREZGwmazwel04uabb1ayqGvWrMGMGTOwe/duFBYWwm63o7y8HKWlpQgP9/0627Ztg16vV4J0f7p06aLcTk5OBiCVfbdo0SKg837++ecxefJk/Pjjj9i0aRPefPNNTJ8+HT///DM6d+4c0DH8adasGURRRGlpKbp27Yrly5fDZDIpj/fs2VO5vW/fPpSWliqBvcxqtaJ79+4AgF27dqF3796ax+Wg359t27Zpsu2B2L59O3bs2KEplxdFEU6nExkZGfjvv/9gMBjQo0cP5fH27dtXGSjHxsbi+uuvx8KFCzF69GgUFhZi+fLlmDdvnvL++vTpo6mMuOiii1BcXIwjR474/Ey3bNmCKVOmYPv27cjLy4PTVTl36NAhdOzYMaj3HazRo0fjqaeewu+//44LLrgAixcvxo033qhUG9QWBvJERERBkqfWG/XurIDFqAcAlNkcEEWxVksziaiBEYQalbefTgMGDMD8+fNhMpmQkpICg0EKNzIzM3HVVVfhnnvuwfPPP4/4+Hhs2LAB48aNg9Vq9RvIB1oCbTQaldvyf3/lYC5QjRo1wg033IAbbrgB06dPR/fu3fHKK6/gvffeC+o4nn755RdER0cjMTHR52A1dcAnzwz49ttv0bRpU81+NRm6Vp1S8uLiYtx1112YNGmS12MtWrQIaiq+p3HjxmHgwIHYt28f1q1bB71ejxtuuKFaxyopKcHgwYMxePBgLF26FAkJCTh06BAGDx6saWGoLYmJibj66quxaNEipKWl4bvvvsP69etr/XUZyBMREQVJycjr3MG6HMg7RcDqcMJs0NfJuRER1aWIiAi0adPGa/uWLVvgdDoxc+ZMpTT6008/1exjMpm8prl37twZTqcTP/30k1JafzqYTCa0bt1aM9itutLS0gIu5+7YsSPMZjMOHTrktwqhQ4cOXku0/f7775Uet0uXLli7di3GjBnj83FfP/vzzjsP//77r8/PE5Cy73a7HVu2bFFK6/fs2eO1xJsvAwYMQFpaGhYtWoR169Zh5MiRygWNDh06YPny5ZqL4r/++iuioqLQrFkzr2Pt3r0bJ0+exAsvvIDmzZsDAP7880+v9wfA52oBgarsGHfccQduuukmNGvWDK1bt8ZFF11U7dcJFKfWExERBUnukVdn5MOM7sC93BZcFoiI6GzXpk0b2Gw2vPbaazhw4ADef/99vPnmm5p9UlNTUVxcjLVr1yI3NxelpaVITU3F7bffjrFjx2LFihXIyMjA+vXrvS4C1MQ333yDW2+9Fd988w3+++8/7NmzB6+88gpWrlyJoUOHhux1AhEVFYWHH34YDz74IN577z3s378fW7duxWuvvaZUBtx9993Yu3cvHnnkEezZswcffvghFi9eXOlxn3nmGXz00Ud45plnsGvXLq+e+tTUVPz88884evSoMkjw0UcfxW+//YaJEydi27Zt2Lt3L7788ktMnDgRgNSbP2TIENx1113YtGkTtmzZgjvuuCOg7L8gCBg7dizmz5+PjRs3Yty4ccpjEyZMwOHDh3Hfffdh9+7d+PLLL/HMM89g8uTJPvvjW7RoAZPJpPxuffXVV15rw7ds2RKCIOCbb75BTk6OUvkQjMTERISFheH777/HiRMnUFBQoDw2ePBgREdH47nnnvN7sSTUGMgTEREFSZ5ab9C7M/JGvQC9K0PPgXdERFpdu3bFrFmz8OKLL6JTp05YunQpZsyYodnnwgsvxN13340RI0YgISFBmfo9f/58DB8+HBMmTED79u0xfvz4kGTKZR07dkR4eDgeeughdOvWDRdccAE+/fRTvPvuu7jttttC9jqBevbZZ/F///d/mDFjBjp06IAhQ4bg22+/VZY/a9GiBZYvX44VK1aga9euSj9/Zfr3749ly5bhq6++Qrdu3XDppZdi8+bNyuPTpk1DZmYmWrdurQx169KlC3766Sf8999/6Nu3L7p3746nn34aKSnuFRQWLVqElJQU9OvXD9dffz3uvPPOgNevHz16NAoKCnDuuedqev6bNm2KlStXYvPmzejatSvuvvtujBs3Dk899ZTP4yQkJGDx4sVYtmwZOnbsiBdeeAGvvPKKZp+mTZti6tSpeOyxx9CkSRPlYkQwDAYD5s6di7feegspKSmaizw6nQ6jR4+Gw+HAqFGjgj52dQiiGOTikA1AYWEhYmJiUFBQgOjo6Lo+HSIiOsP8fuAkRr79O1onRGDtQ/2V7Z2eWYXiCjvuHdAaQ85NRudmMXV3kkRUb5WXlyMjIwNpaWkBTV0noro3btw45OTkeLU9eKrs33cwcSgz8kREREHyVVoPuPvk563bj6tf34CSCvtpPzciIiI6fQoKCrBhwwZ8+OGHylKLpwOH3REREQXJ5qO0HgAsRm1gX1huQ4SZf2qJiIjOVkOHDsXmzZtx9913ey0bWJv4fxdERERBkjPyBo+hO+qBdwBgs7N7jYiI6Gx2Opaa84Wl9UREREGyu5afM3pk5MNMHoF8kGsYExEREQWCgTwREVGQbE7fGXl5vVuZnLknIqoOzqQmOvuE6t81A3kiIqIgyRl5zx55q12bgbc5mJEnouDp9VJ1j9VqreMzIaJQKy0tBQAYjcYaHYc98kREREHyN7W+wmP9eLuT2TQiCp7BYEB4eDhycnJgNBqh0zH3RlTfiaKI0tJSZGdnIzY2VrlgV10M5ImIiIKkTK3XaTPy5Z6BPDPyRFQNgiAgOTkZGRkZOHjwYF2fDhGFUGxsLJKSkmp8HAbyREREQfKXkS/3KK23MpAnomoymUxo27Yty+uJziJGo7HGmXgZA3kiIqIg2fz0yHuV1nPYHRHVgE6ng8ViqevTIKIzEBtuiIiIgmT3M7XeMyNv5/JzREREVAsYyBMREQXJ3zryr9zQRXPfxow8ERER1QIG8kREREGSA3TP0vrrujfDX/83COenxQNgaT0RERHVDgbyREREQbIrU+u9/4zGRZiUTD1L64mIiKg2MJAnIiIK0qkSaYp0pNn3zFh5mr3VzkCeiIiIQo+BPBERUZB2Hi0AAJybEu3zcTlTLw/FIyIiIgolBvJERERBqLA7sCerCADQqWmMz32U0nquI09ERES1gIE8ERFREPZkFcHmEBEXbkSzuDCf+xhcpfWcWk9ERES1gYE8ERFREHYckcrqOzeLhSAIPvcx6qo/7E4URWbyiYiIqFIM5ImIiIKwUw7km/rujwfcw+6qk5G/+4MtuOjFH1FcYa/eCRIREdFZj4E8ERFRAKx2J34/cBJbD+UBADo3jfW7r7y+vK0amfVV/5zAicIK/Lg7u1rnSURERGc/3+vmEBERkcara//DvHX7lfudm/kedAe4M/L2GvTIm/S+y/aJiIiImJEnIiIKgDqIbxRhQkqMxe++BlePvC3IHnmHark6+WIAERERkSf+XwIREVEAmsa6J9R3ahoDwWkHCo763NdQzYx8hd2h3GYgT0RERP7w/xKIiIgCoA7kE6LMwIoJwOxzgRP/eu1b3XXky6zuQN7A0vp6Z+XO41i583hdnwYRETUADOSJiIgCUKEKyi9u0xg48Q8AETh1wGtfZWq9M7iMfLnd/Roil6CvV0qtdkxYuhUTlm5FYbmtrk+HiIjOcgzkiYiIAlDkCs6G92iGod1SgHJpGTo4vZeJU6bW26ufkbcHeRGA6pZ6vkFBKQN5IiKqXQzkiYiIAlBYJgXsYy9KgyAIQEWh9ICPQN6oc/XIu4K7gydLcMd7f2DLwVOVvka5zR3IO4IclEd1S33ZRf05EhER1QYG8kRERAGQy6WjwwyA0wlUFEkPOL2DNs915Ccs3Yo1u7IxbP5Gr30dThGZuSUQRdEjkA/1O6DaJKo+r1IrA3kiIqpdDOSJiIiqUG5zwOoqk4+yGF3ZeFcO1mdpvXZq/b/HC/0e+4XvdqH/K+uxfk8OypiRr7ecqqEGZczIExFRLWMgT0REVIWicilYFwQgymxwl9UDfkrrXVPrXcF4ZYPrMk+WAgD+PHiKPfL1mCaQZ0aeiIhqGQN5IiKiKsiD7iLNBuh0gnvQHeA7kJen1gewjry8RF3myVLN1HoHA/l6Rf1xlVi9fyeIiIhCyVDXJ0BERHQmWrAhA39mnoJeJ+BofhkAINpilB4sV2XkRe8SeM8e+crImffM3BKUqzPyAVwEoDOHqMrIl1YwI09ERLWLgTwREZGHgjIbnv3mX6/tYSa9dKOq0nqPHvnKOJTJ9qXaHnkuJF+vqD8vZuSJiKi2sbSeiIjIg9zjrBOAZ67uiMs7JUEQgB4t4qQd1KX13z8G7Fujeb7B1SNvczo1JfKuzRpyRr64wo4jeaXKds/S+oJSGw6dLAWdmdQfF6fWExFRbWNGnoiIyINcEm826DHmojSMuSgNBWU2adAdoC2tB4APhgFT3MG9OiOfX2pVtluMeq/XUgfsu7OKlNuew+7u+uBP/H7gFL6aeBG6NIut1vui2uNUfV7FFczIExFR7WIgT0RE5MHqCuSNencKPSbM6N5BnZH3QQ7kc4srMHvNf8p2Xz3z6oB913F3IO/w2Pf3A6cAAI8s24E+rRtBEID/u7KjNHyP6py6E6KUgTwREdUyBvJEREQe5IDbZPDTgVZReSAvD7s7XlCOD34/pDquCJvDqQT6gHa9+NziCuW2v+Xn9pwowp4TUsB/VZcU9GgZV+m50Onh1PTIs7SeiIhqF3vkiYiIPNjsUlBm0vv5M+lZWg8ADptys3PTGJybEo1WCREY2as5XhzWWXnMs3/a30C8ypafC3cN3WMJ95lDE8jzcyEiolrGjDwREZEHq0MKto3+MvK+SuvLC4CIxgCACLMB307qq3n4yS/+ht0potRq15Tp+wvYPafW6wRpoNqvj12KSR/9hS0H81DG6ehnDO068szIExFR7WJGnoiIyIPVlZE3+svIV/jIyFfRNy8vXeeZkfcbyKsy9XaHUwkUI00GJSPP6ehnDu068rzAQkREtYuBPBERkQebMuwuiIx8WX6lx5SD7zLP0no/gbx6e4Xd3UdvMugQZmQgf6ZRf4xseSAiotrGQJ6IiMiDMuxO72civK8e+fL8So8ZbpK62QLOyFcSyPu7KEB1R/158QILERHVNgbyREREHqqeWh98IO/Oomuztb6WpAO0GXmr3b0cnl4nIMzPRQGqO+phd56fMRERUaidEYH8vHnzkJqaCovFgt69e2Pz5s1+9/3888/Rs2dPxMbGIiIiAt26dcP777+v2UcURTz99NNITk5GWFgY0tPTsXfv3tp+G0REdJaosFejtL6KHvkIs+8suv+MvDvAr7BLz5Gn6Cs98jYGjGcKkaX1RER0GtV5IP/JJ59g8uTJeOaZZ7B161Z07doVgwcPRnZ2ts/94+Pj8eSTT2Ljxo3YsWMHxowZgzFjxmDVqlXKPi+99BLmzp2LN998E5s2bUJERAQGDx6M8vLy0/W2iIioHrM5Khl2Z7cCdh9/T+Qe+V1fAx/dBJSe0jzsL4suZ967No/VbFcn6uULC2ZXVl8O5MuZkT9jqDPy5TZnpcsHEhER1VSdB/KzZs3C+PHjMWbMGHTs2BFvvvkmwsPDsXDhQp/79+/fH9dddx06dOiA1q1b4/7770eXLl2wYcMGAFI2fs6cOXjqqacwdOhQdOnSBUuWLMGxY8ewYsWK0/jOiIiovqp02J2vsnrAnZH/5FZgz0pg7VTNw0ad1G9vd2pL6eWAb8rVHXFz7xa45JwE13b3fnJpvdlV6m/hsLszjtNjuUCW1xMRUW2q00DearViy5YtSE9PV7bpdDqkp6dj48aNVT5fFEWsXbsWe/bswSWXXAIAyMjIQFZWluaYMTEx6N27t99jVlRUoLCwUPNFREQNl7tH3sewO38l9CW52vt5BzV3Da7BeTaHNuCTA/uEKDOmX9cZ57WIdW1XD7tzldYbPEvrGcifKTwT8CUV/GyIiKj21Gkgn5ubC4fDgSZNmmi2N2nSBFlZWX6fV1BQgMjISJhMJlx55ZV47bXXMGjQIABQnhfMMWfMmIGYmBjlq3nz5jV5W0REVM/JGXCTr4y8v0C+2ONvjEf5vcF1LLvDd0beoNO5vgua7QBQYdNm5Dm1vhZtmA1s/yTop4keGfkSZuSJiKgW1XlpfXVERUVh27Zt+OOPP/D8889j8uTJWL9+fbWP9/jjj6OgoED5Onz4cOhOloiI6p1Ke+T9BfJFHoG8rVRz111a75mRl+7rXY/rfOyn9MgbpADe3W/PYDGksv4G1kwBvrgz6Kd6ZuRLmZEnIqJaZKjLF2/cuDH0ej1OnDih2X7ixAkkJSX5fZ5Op0ObNm0AAN26dcOuXbswY8YM9O/fX3neiRMnkJycrDlmt27dfB7PbDbDbDbX8N0QEdHZQlnuzdfyc/565IuOa+/btBl5vSvjrg7QnU5RmXYuZ+J9ZuTt2uXwwo3MyNeKEt+DdgPh2SPPyfVERFSb6jQjbzKZ0KNHD6xdu1bZ5nQ6sXbtWvTp0yfg4zidTlRUVAAA0tLSkJSUpDlmYWEhNm3aFNQxiYio4VJ65H1m5P0E8qUnAXuF6iBlmoeNrh55dWm9OqjXux6XA36Hjx55z9L67UcK8OAn23A0X/taVE2O6gffTieH3RER0elTpxl5AJg8eTJuv/129OzZE+effz7mzJmDkpISjBkzBgAwatQoNG3aFDNmzAAg9bP37NkTrVu3RkVFBVauXIn3338f8+fPBwAIgoAHHngAzz33HNq2bYu0tDT83//9H1JSUnDttdfW1dskIqJ6xD21vrJhdwIAj3pqdXm9XRtc+xp2pw7WPTPyX20/hlKrHTaHiJ/+ywHgDuTDXIE8AHzx11FYjHrMuL5zYG+O/HPaVLedgC7wfIfXsDtWSxARUS2q80B+xIgRyMnJwdNPP42srCx069YN33//vTKs7tChQ9Cp/pCWlJRgwoQJOHLkCMLCwtC+fXt88MEHGDFihLLP//73P5SUlODOO+9Efn4+Lr74Ynz//fewWCyn/f0REVH9Yw1k+TlLDFCer31MHch7lNYblNJ6dUbefVvukZe/A8CaXdpSb/fUeu2f78JyGygEHOpA3g7oTAE/1Wv5OZbWExFRLarzQB4AJk6ciIkTJ/p8zHOI3XPPPYfnnnuu0uMJgoBp06Zh2rRpoTpFIiJqQNzLz1Uy7C483kcgr+qT98zI+xhip83Ia6fWA8B5LWJxflojvPnTfgCqYXdGd0YekGoDKAQ8A3lUP5BnjzwREdWmejm1noiIqDbZ7JVNrXdl5MMbeT+mzsg77cDhP5S77uXn3AGfusxejt91qkC+Q3I0ruveVLkvl9YnxVjQIj5c2Z5fyox8SKhL68XgSuNFz6n1LK0nIqJaxECeiIjIg7WyYXdyaX1YvHub3rXyiefk+kWXA/9+CcD3sDv3GvICBEHbIw9IQ+2aRHuvqmIy6LDu4f54d1RPAMCpEmuA74wq5ZWRD5xnRr6EGXkiIqpFDOSJiIg8WAMZdqfOyMc2l757riXvtAHLRgPbPlJ639Wl9XKPvEH1OnpNIG9ATJhRuV9QZtPs1zhKCvLzSxnIh4Rm2F1wGXXPYXfZRRW+dyQiIgoBBvJEREQebJWtI6/ukZfFyIH8Me2+Mc0B0QmsuBudclYC0JbWuzPy7tdR3w436ZVMPQDkl2lL6OPCpSA/j6X1oaEeUFjDjPzRPC4JSEREtYeBPBERkYfK15F3BfJhse5tcka+4Kh231s+A3rdAQDocXiRdGyn9zry6iy83qO0Xq3QI5CPDZeGsZXZHCi3sSe7xtQDCoMM5EVXIC9/fEfzGcgTEVHtYSBPRETkQR5C53NqfYWPYXcxLaTvBYfd24bOAxLbA91vAwAYHVJg5zsj7w7eDR6l9Wqe5xNtMSiBPwfehUANMvLy6IPmriGEWYXlmnkIREREocRAnoiISKXUaseGfbkAfEytF0X31Hr1sDs5I+9Q9ap3Gi5910tZc70oBdrqJefkoL6qjPzbt/VA+6QovHB9F83pCIKA2DC5vN712hvnAX8sCOStkie7OpAPtkde+iybRFtg0AlwOEX2yRMRUa1hIE9ERKTyzs8Zym2vQN5a4l6WTN0jHxYPGCO0++pdQ+pcgbzONUjN5mdqvfI01e0wVyB/2blJ+P6BS9AxJdrrfBNcA+/2ZBUBRSeAVU8A304G7ByAJ9t7ogizVv9X9SR5W/VL6+VA3qgXkBxrAcDyeiIiqj0M5ImIiFQWbDig3PZqkZfL6gU9YFYF1XoDEJWk2lEAdK7+dldArxelwNDX1Hq93ndpfYRZW1rvy2XnSq+7fOsR2MqLlO0OBvKKYfN/w9y1e/HsN/9WvqO9+qX18qw7nSCgaWwYAA68IyKi2sNAnoiISKV/u0TltsWgHTanDLqzRLsz7gCgMwBRye77riy8+nblGXn3n2NNRt7o8fo+DDuvKQDg1325+PtIvrL978O5VT63oSgsl4Ly7//JqnxHTUa+eqX1giAgRQ7kmZEnIqJawkCeiIhIRV7tLS7ciD6tG2kflPvjLTFSVl6mMwLR6kDe6HVbJ9oBiNoeeR9T69VrygeSkW/ZKALnp8bDKQIfbXK3BYxb8Bu2HMyr8vkNSZUDAWuQkXcqGXmgGQN5IiKqZQzkiYiIVOQBdA+kn6NZwx2Au7TeHC1l4WV6o7a03vMxFyMcVU6t1wn+l5/zZ3iPZgCAnQdzlG0m2PD51iMBPZ9cQpCR16ky8scYyBMRUS1hIE9ERKQil76rM+MKpbQ+xt0DD/gorVdn5N1l9h2Eg5p15OXXUmfkVQl7ZdhdVa7okowwox4muDPORsGOzJMlAT3/bBdlcV9YUVdEeKlRj7x7HfmmceyRJyKi2sVAnoiISEUudzfqfPyJ1ATylWXkfQfyX5n/D+eX/qLc95WRr7C7M8HhAfTIA0Ck2YAhnZJggjv4NMKOzNzSgJ5/tmsU4f4MVlXWJ+8xtX5fdhHSZ/2E9zdmVvka8vUBwSMjLwf4REREocRAnoiISCWgjLxnab3OCES4h+RpB+HpAcH953Zw+XfKbV898hV2d8be4DU237/hPZrBJLgz8ibYcaygDOW24ErEz0bqlQLu++gvfLntqJ8dVeu+O+2Ytfo/7MsuxpfbjlX5GvJFGZ0AZWp9idWBgrIq+vKJiIiqgYE8ERGRitzD7jOIlnvkLZ498gZpm3LfqH2eKitvF93HVTLyqtdqkxBZrfPu06oRkiPcx4k2SUuiHT7FrLx8caR9UhQcThEPfLIN2w7ne+1nq3D/rI6cKsJ3f0vZ+0CCcVHVI28x6pUqAA68IyKi2sBAnoiISEXOyJt8ZuRVU+vVPfKCDjBHue/rPAJ51X0b3M+z+yitbx4fjuX3XIj1D/cP6rx1OgEPDmip3G8ZI/2Jz8hln3yFqyrh9Zu74/y0eIgisO2Q90R/oaJAub30twPK2vD5AQTyytR612fJPnkiIqpNDOSJiIhUbD7WdldoSuvV/esCYFIH8h697aoMvU10P+Zweg+7A4AeLeOQ2jgi6HNvGuk+56bRUsUAB965M/IWox5Noi0AtEMFAQAOO/SqQH7/iXzldkGprcped/XUegBIieESdEREVHsYyBMREanY/fXI71sD/P2ZdNsSo+l798rIq3utAU1pvSYj7/DOyNeIw/26TaOkQD6jgQ+8E0VRCeTNBj3kj9XpGZiX5UGAe5sOIjo3jQEAWB1OlFUxa0C9jjzgzshzCToiIqoNDOSJiIhU5ODa6Nkj/8cC921zlCY4hzkSMJhVB6kkkNdk5OVhd9X8c7x3DTCvN3DkT6/XTY6UXiezgZfWWx3u4YFmo04pfVcvQ3eqxIq3V/2heZ4BDkwedA6Mrsh/2Z9HKn0d0SMjLw+8Y0aeiIhqAwN5IiIiFXmdd68suVUVEDfrKQXuNy4Bhi0AwuIAQbW/ej1ywKO03v2n11ePfFD+XQHk7Ab+XCTdd1iVh5IipGM29NJ6q2oVALNBB73rc3K4Au9ymwN3vPcH1vz5r+Z5LWJN6N8uATFh0mf3zFf/4PcDJ/2+jpzhl38N5CXoDuQ07J8/ERHVDgbyREREKn6n1he6liC79XMgppl0u+NQoPNwHwfxDOTdGXmrr4y8r8F6gZAvLmT8JI2oV2XkE8Ol8z9eUN6gl6BTL+dn0uuUeQROpwinU8RDy7Zj66F8xAtFmueNv7gFBEGA2eD+vLb6GJAnc5fWS8fv0TIOep2A3VlF+O9Ekd/nERERVQcDeSIiIhX31HrVn0hRBApda4/HpQZwEI9yar17qTp1IC9ni01BrBevfR1X/3vBYSAvU5ORjzA4EG2RXvfgyYbbJ+/uj9dBEARVaT2wZGMmvt1xHEa9gBYW7c8oziJ9JidL3BdHyq3+L4i4h91J9xOizBjYPhEA8O4vB0LzZoiIiFwYyBMREanYlIy8KktelucOmqObVn0Qp//lyqyq0np5gJrFqPe3e+XU5f6Zv2gy8oLDhjTX5PuGvASdvPSc2SD93NWl9ZsyTgEA7h3QBj0SPIbfOe0AgHKbO6N/6JT/CyJOp7ZHHgDu6tcKAPDpn0ew5eCpmrwNIiIiDQbyREREKnZXj7xRHcgXHJa+RyQCRkvwB3W6g0GbqFcGo8mBfFh1A3mbKrDM+FkztR4Oq7KEXUPtk7//479w6cyfAABm189YXVovtxykxIQhUe9R/u70zr4frCyQd10HEFSBfI+W8bixp9SG8eQXf1e5hB0REVGgGMgTERGpuJeEU/2JzN0rfZd744MlugN5J3TKkDs5kAwzVfPPsVUdyP8C2N2l9XBY0bKRK5BvgBl5p1PEl9uOKffljLwcZztEUcm2m406xMIzkJcy8vNvOU/ZdLjSQF5egUC7/bHLO0AQgN1ZRcgttvp4JhERUfAYyBMREanYfK0jv/9H6XvLC6t3UFUgr4NTGXJXXuOMvCpAL84CTvzjvu+wIq1xOICGmZEvKNO2N8grA8il9eHl2bj/5FRcpNuJMKMe0c5C7QFcgfzlnZOx/enLAAC5xVaU+emT9xx2J4uPMCmfb6nVXv03REREpMJAnoiISEXOlivryIsisHe1dLvtoOodVBXI6+FULhbIQWH1e+RdGeKIBOn74d/dj1UUoU3eL3jcsBRNi3ZW7/j1mHpIHQAUlktBtFxa3+/wG7ig4jcsNc2AxahHuE2aSJ8rRktPUJXWR4cZlGD8RKHHigQunuvIq4Wb5EC+4a4eQEREoWWoehciIqKGwekUlWy5srZ7WR5Qki3dbn5B5QfoeK20trvnfh4Z+W2H87HjSAFOlkil1kEH8oc2Adn/uHvk2w4Gtn2gZJEBAL++is4AOhuA7aUHAdwZ3GvUc55l7Hml0n15ar3F7s7AW4x6mKz5AIAcMQaNhULNz1IQBCTFWJCRW4LjBeXK7AE1z3Xk1cIYyBMRUYgxkCciInKxqYbSGV091cpScjpD1YPurnkNaNUf6HC1drvoDuAMcOD2hZuVUmwgyNL6Az8BS4drlppDuyFSIO/BqTdD56iARWx4y8+d9Ajk5Tlzcml9sSFeeSzMoIOuXJoqnyPGogMOew27S4qWAnl/GXl/pfUAEG6U/nfLX1k+ERFRsFhaT0RE5CIPugMAozzszu4K3IzhVR/AEg30HANENNZud2pL650ew8vljG2Vjm8HPr5FG8QDQOrFgNE7S1zUrD8AQFBVBDQUnqX1MjkjX2SIU7ZF2HIguKobchArbXRq+9mTYqSLOMcL/AXy2nXk1dwZefbIExFRaDCQJyIiclEH8sqwO7l83VCNZedkHj3yceFGzcMBZeTtFcCHIwFrkfdj5higZR+vzU5X77yuAQby/ibEyxl5O9w/86i8fwEATsGI5ikp0kY/gbz/Hnnpe2U98vJyg0RERDXFQJ6IiMhFXVqv9Mjb5Ix8aAL5QR0aY2CHJpqHzcYA/hyfygCKjgGmSKDlxe7txnBApwNS+3q/bGQSAECHhhdAniz2nZGXZxjqVFUN4Sf/lrZFNML5rROljZ6BfLSckS/zeVx5toJQWSDP0noiIgoR9sgTERG5uNeQF9wBmd0VuAVSWu+PKpCPt+hgFLSBe0AZ+dJc6XtUEhDT1L1dPq+0S7yfo2TkG14AKffI33VJK/x3ogjjL2kFwF1aLzrcy9OF/bVAuhHRGBBcn4Vnj7wrI59V6PsCQeWl9dL/blU27O6Hf7JwJK8Mt1zQAmZDNVcxICKiBoOBPBERkYvPNeTlYXchKq2H6IDJoI32AuqRL3EF8uGNAXOUe7vJFcgnd5VK7CsKlId0UVLmX0DDK62Xe+S7No/F41d0ULbLpfWiKiOvKzsp3QiPl4YaAn4z8ll+MvLKMD0fkXy4serS+v8t34H8Uht+25+Ld2/v5Xc/IiIigKX1RERECjmQV9aQB9yBfI0y8qoAzmnXHh9BZuQjPAJ5ecidTg9c8pDmKfpoKZDXwwm7o2EF83JGvlGESbNdDrSddunxRY4hwIX3SRdBzhniN5BPdmXkc4oqfP4s3cvPeQfygQy7yy+VKgTW7Mqu/I0RERGBgTwREZHC7upz9h3I1yAjry7TdjrcS9u5BBbIS8ujITzed0YeAC66H7j4QeWuwSSdsx5OWBtYIJ/r6pFvFGnWbJcDbcFVWp+niwcuew547CDQ5153IO/RjtAo0gy9ToBT9D1Ir7LS+vAq1pF3eC5jQEREVAUG8kRERC5Kab06GgtFj3yP2923RadXRt4SdGl9tHu753mVFyo3DQYpKDXAAZu94QSLVrsTheVS9rtxpEdGXv5o5dJ6vWsFATmTrpN75LXZc71OQJMo6aKAr4F3la4jX8WwO1sDu8hCREQ1x0CeiIjIRR525zMjX5Me+QFPAe2vkm477TDptcGeJZDhZv5K62OaafdrPUD6bo6BQS8F8jo4UeFoOAPvTpVIQbpBJyDaol3qTy6tF5yuYXd6baDvLq33/nk1qWQJOrGSjLzFWHlG3rNaghl6IiKqCgN5IiIiF7uzkmF3NSmtN5hUgbxDc6FArxNg1PuI/jz5G3YXl6rdr/1VwK2fAxP/gODKNuvhhNXecLK+cll9fIRJmVIv0ymBvJyR9xfIe/ezy33yxwu8A3l55ULfy89VPrXe87OpsDeciy5ERFQ9nFpPRETkYlMtP6ewy+vI16C0HtCUbKsD+TCj3mfw56VUnqzeSLowIItL0+4nCECbgdJtazGAhhfIn3Rl5D374wH31Hqd0w7ooFzsUFQSyDeRJ9f7yMi7e+T9l9bnl1rxxvp9ECDgnv6tlcc9S+srbE6Ee1xfICIiUmMgT0RE5FLp1PqalNYD7kBedGqG3VkCGXQHAMUnpO+RCdrl7Dwz8j5es6ENuzvpysgr/fFblwA/vQzc8il0ukgAgEGUSut1Bs+MvO8eecCdkc/ylZFXeuS9z0eeWv/nwTz8eTAPAHD9eU2VCwOeF1nKmZEnIqIqsLSeiIjIpdIe+Zpm5AV3gKjukQ8zBfCn2FoKlORIt2NbaC8qxKf5fg6gZJf1cDaoYXdeS899dR9QcAj47n9KRt4oSMGy4DeQ99EjH11ZIO8/Ix9p9s6bHC8oh93hRJnV4ZWRL7c1nIsuRERUPczIExERuShT60PdIw9ohqipLxQENOgu/5D03RwDhMW5jwUAEQn+nyfIGXkHrA1o2F1uie+l5+CwK8PuTJAy7oLeYx/5Z+tank4tOSYMQOWl9b66JLq3iMXA9olIaxyBDftysTurCCcKy/HkFzuRU1SB+bf20Oxfbms4nxUREVUPA3kiIiIXZR15nSpLLi8/Zwir2cH99cgHsvScHMjHtpC+m6OAB/8B9GbfkaPHaxoEJyoaUo+8nJH3WHoOBrMy7M7oCuQNJo995MDeUeF13CRVRl4URc1sA7m0Xu+jtj7cZMCC0b0AAOOX/IndWUXYeigP/xyTlgr870SRZn8G8kREVBWW1hMREbkoPfIGXxn5Ggbycmm96JGRD6RHPv+g9D2upXtbTDOpX74yqsy91ebd8322UnrkIzyy7cYwpbTeAClYNpg8Ki1MEdJ3a6nXcROjpeNV2J3IL9Vm7Csrrdccw7UW/Q//nFC2HTqlfS2W1hMRUVUYyBMREbnIWWuTzx75UGXknTCpLhSEBRPIyxn5QAnu92GzWYN7bj3mnlpvAuyq922wQP5o5Yy8yeQR7JtcsxCsJV7HtRj1iHf13XuW11e2jrya3Gefkes+/qGTHoE8h90REVEVGMgTERG5yNPDTQZ1ab28/FwtldYHEshn/ip9b3xO9V4TgL0BBYfu0nozUJbnfkBnUMrh5R55k9kzIy9NtYfNO5AH3IH4CY9AvrJ15NXkjLzawVPa1yqzOrBudzamfv0P9nqU3RMREQHskSciorpUXgCYoyvv8z6N5EBeM7VezszWuEfe9SfXo7S+yh753L3Asa1SaX6Hq6v3mgDsDSQjL4oicl2l9Y0iTEDpMfeD9nLV1Ho5I+8RyBv9Z+SVYwI4VWLV9MkHXFof7SOQ98jIT1i6VbmdkVuCxWPOr/SYRETU8DAjT0REdePAT8Ar7aSlwc4Qco+8kpEXRSAvU7od27xmBxd8Z+Qtxkr+FIsisPpp6XbbQUBE4+q9JgCb3XsK+9moxOpQWiQaRZqAslPuB22lyjA6ubTeYvYsrfffIw9AKa1fsvEgukz9Aev2ZAOofB15tfZJ0V7bisq95xeEuy7wrN+Tg6+3H/N6nIiIGjYG8kREdPo5ncCSa6SJ8H+9X9dno5Az8mY5kC/KAqzFUkAcV8l67YFQLT9nNgQ47O6fL4A9KwGdERj4TDVeUxXIN5Bhd/Kgu3CTHuEmA1CqCuStpV5T680Wz0DeVVpvL/O5lrwcyG87nI+icjte/G43AHWPfOWRfEpsmObz92feLecpt+/76C8czS+r8jlERNRwMJAnIqLTryTHfTssvu7Ow4PV4THsLvc/6XtcS8Bg8vOsAMlL2nmsI++3R770FLDyEen2JQ8DTToG/5qqYXd2W8PIyOe5psnHhbs+L8+MvEePvMXs0TIhD7tz7e9JLq2XNY2Vnu+oZB15T8vu7oP2SVGYcrX/zzQlJgxXdUlW7mf7WLueiIgaLgbyRER0+pXmqu6IdXYanryG3Z3cK31v1LbmB9f0yAcwtf77x6WfU2JH4OLJ1XtNQYAD0vHtjoYx7E5eg11pWSgvdD9oK1Wupyil9RaPQN5gcV8A8dEnH++xNn2TGKnH3l1aX3Uk36VZLL5/4BKMPN//KgRNos145upzlfu+yu+JiKjhYiBPRESnX4kqkK8orrvz8FDhGcjn7pO+Nw5BIK/0yLsz8kk4iSv3PAEc+l2776FNwI6PpYDymtdrVA0guoJSewPpkZc/Q6VlwaYqSbeWwuCoQB/dP9ALUuQdHuYRyAsCYJT75L0Dec+MfIVrzXe5tF5fVZO8ino5O08xYUYkRJlxfqpUsVJcwUCeiIjcGMgTEdHpp87IO22AvaLuzkXFXVrvCgKVjHybmh9ctfycfKHgBeO7aJX9A7BwsHbfEzul723SgWY9avSyTtcFBEcDCeTljLzSh65eRs5WgtYbH8NHpueVTZYwj6n1gGrgnY+MfIS2p17+nXEGUVqvlhzj4/XhXsYu0iJVchQzI09ERCoM5ImI6PQrOam9f4Zk5ZXl5wyuaCzXFciHIiPvY/m5FsIJ3/vKQ9bkgLIGRDTgjPzyO4BfX3U/WF6A+MxvNPtHeGbkAXefvM9A3qh9PdeFA3kd+UBK69X8BfKySLP0e1NY3jA+PyIiCgwDeSIiOv00PfIArEV1cx4ebOphd7ZyIP+Q9EAoeuQF9bA7KdgT4Sfoc7qyrzqj78eDILoy8qIcaZ7llIy8XgB2LtM+KDohiNqfQ0S4r0DedQHF5h3IJ0RpA2/PjHywgXxSFYF8lJyRZ2k9ERGpGOr6BIiIqAEq8Qjkz7CMvNmgA04dACAC5mggMrHmB1ctPydn5B3+rqc7bNrn1IBTtX59QyBn5GP1VU95t4l6hJt8XCyppEc+JsyI98aej9X/ZuGD3w+peuSlx4NokQcAJMe4LyQM7ZaCcJMet/RuqWxjaT0REfnCjDwREZ1+6uXnAGmt9jOAZmq9uj8+2MZnX1Q98nIg7/T3Z1jJyFeyxnyA5GF3oo810euzonIbhr6+AbNX/6fZLpe6xwu+f6dE1ZJ8NhiUdeU1lB557+XnAKDfOQno2zZBej27q7Re6ZGvfml9s7gwzLi+Czo1jVG2RblK6zm1noiI1BjIExHR6Veq7ZFfvnG3EkTXJWXYnUEX2v54QNMjL082919a79A+pwbEszQjv/rfE9h+pACvrt0Lu8P9uyNn5OP8BPIF7W5UbjsEPxdK5B753P+Aty4Btr7vvYtrmJ53aX1w70OdkZcv8KjJPfIsrSciIjUG8kREdPp5lNav3b4fy7ceqaOTcVOWn9PrgZMhXHoOcC8/JzqVOmy/pfVKRj50pfXiWbaOvLoX/e9j7rXi5R75GHjMXdCbgPhWyOs1WdmUK8T7PrgpUvq+YRZwfDvw1USvXeSp+HJpvSOIdeTV1Bl5X4F8lEUq/S9iIE9ERCoM5ImI6PRzDbs7IjYGAEQI5cgurPsl6DSl9XJGPhSD7gBtmbwr415lIK8P4bA78ewK5NVT3DcdcFd4yBdjokWPQP6mj4H7tsIZ3VTZ9LFpuO+DG8OrfH2zQa95PXkdeV2Q/2elHnanLJmnIvfIF3FqPRERqTCQJyKi08vpAEpPAQAOO6UhcpEoQ3ykqS7PCoAqkNcL7h75kJXWqwJ50YHVD16C1olRvvd12ryfU12unnDhLCutzytxB7b7st1l9HJG3iuQN4YDggC9IGBExf/hEdud+DlsoO+D+1r2z2PGgBx0y78z7vXrg/vMLEY94iOk332fGXkzh90REZE3BvJERHR6leUBkLKXSkYe5cqQsrok9ztbnMVAeYG0Mb5VaA6u7sd22tG2SRQiLWbf+4a0R146Rn0fdrf9cD5mr/4P2YXSNPr8MqvyWInVHeTKpe6RzkLtAYxSL7peJ2CT2AHLHP1hNvrrkfcRyM9sB2TtVO4qpfWuYXclFdJ3uac9GEnRUlbeVGlGnoE8ERG5nRGB/Lx585CamgqLxYLevXtj8+bNfvd955130LdvX8TFxSEuLg7p6ele+48ePRqCIGi+hgwZUttvg4iIAuHqj68wRKMAUsAUKZSj1Fo3gebxgjKcKpGCQnkdeQtcQaKgUwLAGlMH5Uqg7l1uL90OXY+8MrW+HpfWHy8oww1vbcSra/di4Kyf8MHvB5FX4g7kiyvc700OrMMdHoG8KzhXT6n3Vcqu3lejJAd4s697F4+MvFz6HlGNQL5DcjQA32vKW4xyCX/9/fyIiCj06jyQ/+STTzB58mQ888wz2Lp1K7p27YrBgwcjOzvb5/7r16/HTTfdhHXr1mHjxo1o3rw5LrvsMhw9elSz35AhQ3D8+HHl66OPPjodb4eIiKri6o8vM8ahUJQCpiiUarKqp0tRuQ19ZvyI855dDUC1jjxcQZM+hOX+Om1GHoA2S28r8348hFPr62tpfUZuCfrM+FEVMNvx1Iq/sWLbMWWfEtUguHJXRj7cXqA9kJyRVw2jCyojDwAQgQqpZF/dIy+KIkpcF6KiLMF/Zs9c0xGf3tUH/VxL2qnJ1x3EoI9KRERnszoP5GfNmoXx48djzJgx6NixI958802Eh4dj4cKFPvdfunQpJkyYgG7duqF9+/Z499134XQ6sXbtWs1+ZrMZSUlJyldcXNzpeDtERFQVV0a+xBCLQkhDxWKEEpTVQUY+q6BcuV1cYXf3yAvysLkQBvLqoN1hAwqOatent1doHwdCE8i7LiDU19L631WD7N645TzcekELr33UgXyFzQ4BToR5BfLS75p6GJ3FX0be6C+QB1CUBcCdzbc7pSDe4ZRC7epk5KMtRpyfFu9zTXt5XXqnk6E8ERG51Wkgb7VasWXLFqSnpyvbdDod0tPTsXHjxoCOUVpaCpvNhvh47RIy69evR2JiItq1a4d77rkHJ0+e9HMEoKKiAoWFhZovIiIKnYJSGz7bckQaCObKyBfrY1DgyshHo0TpMT6d1IPJsgvLVYG8nJGv+dR4hU4HyOvGL7kGmN0RyPzF/bhdnZEPXY+8cgHB6ax8vzPU3hPSILtxF6fhis7JuMRH1lq9xvqkE09hjekRhFu1Sxz6ysj76kmXHqgkkC885vVcucxfEIBwf1n+apLPVmQcT0REKnUayOfm5sLhcKBJkyaa7U2aNEFWVlZAx3j00UeRkpKiuRgwZMgQLFmyBGvXrsWLL76In376CZdffjkcftbQnTFjBmJiYpSv5s2bV/9NERGRl9d+3IuHl23H7Qs3AyXShdVCXYySkY8WSlBaB6X1dlVwm11UgQqHRyCvC2EgD7gD85zd3o/Z3NUBIS2td2XkBbF+ltbvzZZK2c9pIq3t3jTOe2aBOpDvXrEZrXXHEV24V7uTQeo/16uy3r6mxAMATJUsP+eRkQeA3GKpmiLCZPCZVa8JeV16xvFERKQWgkv9deeFF17Axx9/jPXr18NicQ+IGTlypHK7c+fO6NKlC1q3bo3169dj4EDvpWYef/xxTJ48WblfWFjIYJ6IKIS++1sKfjZlnIItJRtGAPmCOiNfWifD7hyqcuXsogolI29ELZTWA1KG3+lnPXB77fTIyxn5+lha//3fx/HLXimz3sa1VF+zWO8gWymtr6zqwBUQC4I6kPcTdJsi/R+n6DgAwKDXQa8T4HCKyrDENFO+1DIR09T/84MkB/JOpuSJiEilTjPyjRs3hl6vx4kTJzTbT5w4gaSkpEqf+8orr+CFF17ADz/8gC5dulS6b6tWrdC4cWPs27fP5+NmsxnR0dGaLyIiCp2eqe45JZmHDgEA8hCNQtfU+pg6y8i7g6Pj+e5A2qj0yIc4I3/hJKDjtUCHa7wf85WR14cukK+Pw+7e/OmAclvOyEeHef9MbA5RmurusHo95imgjLyx6ow8ygtwrWEjwlGOkyVWGGHH17Y7pZYJ9byDGpKvOzCQJyIitToN5E0mE3r06KEZVCcPruvTp4/f57300kt49tln8f3336Nnz55Vvs6RI0dw8uRJJCcnh+S8iYgoOPKybgBwKkfqMT4pRmky8iWudbI//eMwlm46eFrOS52RP5KnCuTFWsrID3gcuPE9INZ7YFttZeTl0nqI9a9HXr6488jgdoiySBdV1Bn181rEKrdLKhyAw0cAHZUMdL5BuasXAimtr2zYnZSRx9f3Y6ZuLp41LsKpEisiUerep7zA93OrQT5dxvFERKRW51PrJ0+ejHfeeQfvvfcedu3ahXvuuQclJSUYM2YMAGDUqFF4/PHHlf1ffPFF/N///R8WLlyI1NRUZGVlISsrC8XF0jCc4uJiPPLII/j999+RmZmJtWvXYujQoWjTpg0GDx5cJ++RiKihk5cEA4BopxTk5DqjlB55o+CAaC1G9trX0e7razD7i1+RXVTu81ihpA7kV//rrg4zoBaG3an5Wpu+lnrklYx8PVxHXv69uaBVI832xy9vj+bxYZh1YzdYjNL/ypRU2AG7R0Y+LB548B/g+neUTeqp9f5L630E8hGuIXtyIP/PFwCAYfpfcKrECp26iz2EF02UHnkG8kREpFLnPfIjRoxATk4Onn76aWRlZaFbt274/vvvlQF4hw4dgk71V3f+/PmwWq0YPny45jjPPPMMpkyZAr1ejx07duC9995Dfn4+UlJScNlll+HZZ5+F2Ww+re+NiIgkFXZ3ENlIkIaXnXBEoQxmOAQD9KIdemshEn95Eok64A7Dt8jIGYzEKIu/Q4aEurQ+q1AKpFMbhUMvuoLqWgvkfZRu11aPvJyRr4el9eU26ffG7DFd/q5+rXFXv9YAgEizAeU2K4rK7YDeIyMfHu9+/y7qjLwh0Ix8s17ApU8BS4a6A3mVk8VW98UfgKX1RERU6+o8kAeAiRMnYuLEiT4fW79+veZ+ZmZmpccKCwvDqlWrQnRmREQUChVKRl5EHORAPhKAAJsxGnrrKdhL8gDX9VYzbMg8WYLeHpnYUFNn5CcNbIuOydHo06oRkLlS2hjq0nqZr0C+tjLyrmMI9bC0Xg7kLZUs6RZhNiC32IoSqx1WQzk0n1hYvNf+mh55fxPmDR4VE11HAvGtpNtFWV7p8X3ZRe65CkBIA3kOuyMiIl/qvLSeiIjOfhWuafDRKIHRtbTbMauU9XSaYwAArYRjyv6lMCMjtxS1TV5+rm1iJCYPOgdDOiUhJtwIOFyT5U9rab3q/TpCX1qPelhaL//eyOXzXmxlGIzfEY0SFFfYcTK/SPt4uPeFICGQjLxOBxhVWXmdEYh0LZXrsAJleZrP5p8jJ2GCKpD31atfTUqPfMiOSEREZwMG8kREVOvkzGoTvTTPxGaIRKHN9SfIIgXynXSZyv6RKENmbkmtn5e8WpneMzOrBPKnMSN/UrWySkgz8tLPWahny8+JoqgK5P1k5P/6AE+UvIB7DStQUmFHdr7HkLlw74y8mt9hd4B2LXm9CTCY3RcGCo+5L5AAaGUudC9ZCNRKRl4UpZ8JERERcIaU1hMR0dlNDsjaRJQDVqDUGIfSUimw1IdLgXzfqOOAq008XihC5snaD+TljLzBc+iZvIyZ7jRm5I9vd9+uldL6+hXIy78zQCWBvGspuA7CIRyvsCO3oFj7eFicjye5+R12B0h98iU50m25MiMqBSg9CZw6oMm6f3lLc+wrAPCta0Moe+RVt0XRnaEnIqKGjRl5IiJyy8sEPhgOZPwS0sPKw+5Sw6RIvUCIVvrTdZZoAEBn/SFl/zgU4UTh6Ztar9d5/DmUA/naKq03+cjIH98O7FsDvH89kJchbWvAU+vlKg7Ae9idwhVMpwpZKK5w4FShZ2l95Rl5g78eeUBbWq8E8knS9xP/aHYNKz6Mzkmqz9Qeut9dnSpyZz6eiIhkzMgTEZHbto+AfaulTGZa35AdVs6uNjdLfeD/FUlT7dokRsIQJgXyKHYv/xYvFCOv1IZym6PSQWc1JU+t9wro6qK0vqIQ+GCYdpuu5u9d0MtT6+tbIC/9zuh1gv8SeFfmO0U4idLScjgLPTPyVQTylZbWqwN51++BEsj/rd03LwOIT/M6r1BQB/JOUYQeTMkTEREz8kREpJazW/oewowi4M6uJhulQOukGA2TXoc5I7pBMEd77d9RdxAPGT5FdmHoAiJflIy8Z72ys7YDeY/S+pTuvvcLRUWAXFqP+hbIuybW+8vGA8rvqUFwwlB8GEUlHu0YVWTkTQEH8nJGPln6nrVTu++pA+4qDiCkw+7UcTsn1xMRkYyBPBERueXskb6rg5IaUg8tS9BJpc+nEIUnr+yATk1jAHOUz+fdZ1ihrO1eW9yl9X565PW1VLimzsjrDP4D+RCU1guu0npdPVt+rspBd4Am820pOgib1SOAriIjbzRU0SMv03mU1ucf1O57KsNdxeFxXjWl/tVkHE9ERDIG8kREJHHY3ZPTQxjI2xwiRBEYqtuAToc/BAA0a9oco/q0lHbwE8gDqPU+eTmQ9x52dxoz8nozkNzV936hCOR19btHPtBAPrL0MOzWMu3jVWTkOyR7V4MofJXWR6do92nUVvp+KkMbvNdWjzwDeSIicmGPPBERSfIy3CXl9tAF8vKgu1dNbyjbru7TxT1+Wx3Im6KAhHbA0T9xVGxU64G8vcqM/GnokRd0lQTyIZgPIF8MqHc98tL5+h10B2iC55iyI3DYmmgf95ORX/3gJcgqLEf7pEoCeaPH8nOAOyMvS+kGnNwLVBRoZjyE8t+PwNJ6IiLygRl5IiKSyP3xQEgz8vLQMo2Ixu7b6kA+LhW4ciYAQAcRWQW1nZF3LT/nd9hdbS0/pwoSnXYgsaPvpe5CmJHX17ceeVdpvbnSjLz79yO+4gicNo/fFz8Z+bZNotC3bULlJ6DJyLs+B7lHXhbZRFqSDgBy//N5XjXlOeyOiIgIYCBPREQyTSAfuh5fOSOvEd7IfVs97C6upRI8G2BHUbk9ZOfhi5yR13kOu5MD+dpaR95gdt9OOEe6n9jBe78QvL48tV6oZz3y7tL6Sv5XRXXBKcF2DIK6T90Yof05B8tXaX1EgrKcHwAgLNY9rb6W/v2ofzUZxhMRkYyBPBFRQ7XtQ+CtfkDBEel+jiqjqA6IaqjC7vTOBleWkXcFr0Y4UGKt3UDe6bdHvpZL69XRWffbpO++yutDsY6868KITqzdn2WoKcPuDIFl5JOcWTBD9Xvr2c8eLF+BvE4vZeFlllhVIK/OyNfO8nP17FoMERHVIgbyREQN1V8fAMe3ARk/S/fVGcUgApEtB/Nw1/t/YtfxQp+Pl9sciITnEDJVIG9RZ+RTlTJmAxwos9ZuObi7R97jz2Ftl9YDwGXPAefdDvQYLd1v0cd7n1CsI++6MKKvZ4F8QBl51e+pGTY0F3KkOzoDcO38mp2A58oCMvUFAkssEOcK5IuzVOcVutJ69SUmltYTEZGMgTwRUUNVekr6bq8AnE4gd6/7sSAy8u/+cgCr/jmBy1/9BUXl3s+rsDsRJZS6N6RPBUyqIEmTkU/TZORLazmQV6bWe/bI1/Y68gBw4X3ANXPdFwu6jABuXOLuuQZCmpGvbz3yFcqwu8Ay8gBwns6VFe85Dmjeq2YnYIp031b/HsSlum9bYoD4Vj7OK3QzJjQZ+ZAdlYiI6jsG8kREDVWZKpAvOATYVVnzIHp8C1XB+x+Zp7wer7A5EQ1XIB+RCFz8gHYHz9J6VY98aS2X1lc9tb4WM/Ke9Aag41BtoBiCQF5nkIJQgxi6donTQR6SWHlGXvqc8kWpDL6D7rC03RCCCzAmH1PrAe3no+6R15xXCDPynFpPREQ+MJAnImqIRFGVkS8HcvZItw0W6XsQU+sNqrL03VlFXo9X2B2IkkvrLT6W+zLHSMFRdDMgtoWSkdcLIsoqajf4lDPyen/D7k5nIC9TX9gIxevX04x8YOvISwHzf2Iz7fZQVFL4mloPeGfk43wF8qEcdsep9URE5I2BPBFRQ2QtdpePO6zu/vjEjtL3IEqDy2zuAPE/j0B+x5F8vPdbpru03uwjkNfpgHt+AyZuljKpqqDJag1dibIvSiB/uofdVUadCQ5Bj7yckTfCrgz3qw+UYXeVBvJSwLzPK5CvwbR6mdHHsDtAutgks8RKWXnP9epDOLUeAJSCkfrz8RERUS1jIE9E1BCV5blv28vdE7eTOkvfg8jIl6sCeXVG/uPNh3DN679i3Z4c97A7Xxl5QMp+yhlQ1ZJrVmvtriNv99cj7zgNPfL+qAPIUJTW690zBxz1KKMr/16ZK11+TgqYC/Vx2u0hKa33E8hrht3FSN89++RDmJEH3H3y9eg6DBER1TIG8kREDVGpqpfdXgHkH5RuJ7SXvjtt0gC8AKgnyx/IKYHNIT1vs6tfvk+rRvhf/2RpB3XZuD+qcnKbrbYz8tK5evfIy+vIh2DYXLBMfqalV5NgcM8ccNSjSLDcXsWwO1FUSut/MvXDCTHW/VgoAmklkBe0lRGN2gC97gAuuh8wulpRPPvkay2Qrz+fHxER1S4G8kREDVGZRyBfkivdjlGVKDsD609Xl9ZbHU5k5pYAAApKpedf0y0FKRZXQG6OqfqAquDVabfVavDpPyNfh6X1/pY9qyZBKa131K9Avqphd6qqkTJLY/SueMP9WPGJmp9AVJLUCuKZbRcE4MqZwKBp7m3qcnsg5IG8vAYdA3kiIpIxkCciaog0GflyoCRbuh3TVLU9sGBEzshHmKSs5Z4TUnl9QZkUyMeEGYEK1xrz/krr1QQBos69lvxfh/Jw41sbfU7ErymHQwqMdGdSIG8KdWm9u0e+PpbWW/xl5FWT4Y3mcO1jJTk1PwFTBDDxD2D82qr3DW/s99xCQf71rEcfHxER1TIG8kREDZG6R95W6g7so1WBfIBrycsZ+a7NYwEAe7KKAIcNlxR8iTThuBTIlxdIO1sCyMgD7rXkBQee+eofbM44hY82HQrsuUGQA1vvdeRdy97VxdR6dUbec5p+Ncg98gbBoVy4qA/cGXl/gbw7I28xSyXuC+1D4BT0QN+HQnMSUUlAWFzV+0UkaO+X5la+f8FRwBZ4sC+X1jOQJyIiGQN5IqKGSB3IFx6HNA5bkDKLchY4gMnboigqgXw3VyC/O6sI+ONdTCp/E6tM/5MC+dKT0hM8p3v7IajWkv/nmJTNzykOcbkyVFPrdR5/Dm2uKfvycnynkym86n2CoDNKGXlTPcvIV9jl5ef8/K/KJ7dK33UGRFqk35dp9lH4asjvQEr303GKbhGNtPcLjgAOu+99T/wLzO4IfDQi4MPLl3NYWk9ERDIG8kREDZG6tL7giPQ9PF5a+k0uJw9gcn2F3alkCeWM/H8nioAD6wEAJsHhCuTz3K8RCFVpvSynKPSBvN8e+WArCEJJPbU+BATX52mAQzOY8ExXUVlG3ukADv/uum1HhNndghAeGUD7Rqh5ZuSddqDgsO99f58nfXf9GwmEkpGvxqkREdHZiYE8EVFDpB52JwcccjAiB/IBrCWvXnpOzsgfOlUKq6qEOybM4H69QAN51ZJpstoI5OVSc83UelEEyoPo6Q+1qKTQHk+pbnDgkpfXKasKnOncU+t9/K+KrUxzN1IVyEdZ6qAdwrNHHgDyMgFrCbDzM/eFIQDI3hX04QUOuyMiIg8M5ImIGiJ1Rl7O83kG8gFk5OWyeqNeQJNoCxpHmiCKQEGp+7mRzmL36wVYWq/OyEe5grRTpdaQB6F2p49A3lbmnthfFxn5tEuAC+4FrpodmuPJ8wZghygCB0+Whua4tUwZducrI+8xTC7C7N4nylIHSwaGN/Le9tf7wGs9geXjgN9ed28/8W/QhxeUHnkG8kREJGEgT0TUEJX5mAAf4coqGszS9wB65Eut2mCrXZK0TvyJrKPKPrqio6qMvI+AxxdXIG+EHbf1aQm9ToAoAqdKQruuvNPXsDt5wr6gA0yRIX29gAgCMGQ60HNsaI6ndwfyAHA0v6yyvc8YlS4/55GRV5fWR9dFRt7gY3WDv5cDRcek20f/lL6f3A/Yg//5c2o9ERF5CjqQv/322/Hzzz/XxrkQEdHpUuojkJeDbHlSewBT6+We63DX0nMXpEnHiHOedO90cp87ux9kaX2/NnEY37cVGkdKgVKoy+t9ZuTlMmhzdEimxtc5vXsFAAA4dLKkLs8mYBVKab2PjLw6kL95mVK1AdRRRl6t/VXAuddJX4Lrf7P0Zmn43ed3uvczRQV8SLlH3slAnoiIXIIO5AsKCpCeno62bdti+vTpOHr0aNVPIiKiM4t6ar3MEit917sy8gGsIy+XP4e5MvL3DmiDl4ediyZQHf/4DvdxjQFOZHeVg98/IBVxESYkREnnFOpA3uGUsr6ajHxd9sfXBp17BQCgPpXWVzLsTs5qRyYB51ymychH1lUg3/Fa6fugacANi6Wv4YukbeX5wC8z3Zl5wN2+EQBBCeQZyRMRkSToQH7FihU4evQo7rnnHnzyySdITU3F5Zdfjs8++ww2W+B/lIiIqI44HdrhWzJ5vexgMvIefcw6nYAbOkTAIKh62Te6+oPDGwWe4da7gjHXeu4pMWEAgP05xYE9P0B2h8fyc04HsGm+dLsu+uNrg8fgwIOn6ksgX9mwO1ePvFFaHlAO5MOMehj1ddQ1eMNi4PEjQKPW7m3y71DWTuCnF6Xblz0nfQ9gBoWMw+6IiMhTtf7aJSQkYPLkydi+fTs2bdqENm3a4LbbbkNKSgoefPBB7N27N9TnSUREoVKWD58LWYXFSt+D6JGXS+vDTKqsqc0dKDqTuwdfVg8oWWR5Le7OTaWA6O+jPi5A1IB7HXnXhtVPS73NgLtCob7z6JHPzD3zS+tFUUSFPYCMvKvCQ55aX6dl9YIAmD3K5eV/U9ZiQHQAjdsBXW+WtolO6cJRANgjT0REnmp02fr48eNYvXo1Vq9eDb1ejyuuuAI7d+5Ex44dMXt2iKbtEhFRaPkadAeoSuuDn1ofpg625JJ8Syx0Y793By6Nzwn8HOWqAFf5cedmUiC/40hoA3l3j7xO6rveqJou7hmU1Vc69/JzAJB5sgT2M3wJOjmIB/wNu3Nl5A1SRr5tk0iEGfXo6loC8YzheTEoLNb9uw0EVPUCqNaRZyBPREQuQV+6ttls+Oqrr7Bo0SL88MMP6NKlCx544AHcfPPNiI6W+gm/+OILjB07Fg8++GDIT5iIiGpIHnSnM2r7dJXS+sDXkT+SJ2VG4yJUU7vlTL7BIpU+X/sG0PsuoFGbwM9Rpy3v79IsFgBwILcEjyzbjkkD26J5fID99pXQTK0vPKZ9sCy/xsc/I7g+T6m0XoTNARw6VYpWCXUwkT9Aclk9UFVGXmq5SIyyYNOTAxFhquNBd57kjLzMGKYN5J02AJYqDyM3pLC0noiIZEH/xUtOTobT6cRNN92EzZs3o1u3bl77DBgwALGxsSE4PSIiCjk5Ix+VBBQcdm+Xgw4lI191af2GvbkAgAvSVGXzckZeLtEXBCClW3Dn6NEjHx9hwhWdk7ByZxaWbTkCk0GH56/rHNwxfXD3yAtA6Untg/kHa3z8M4IrcNQJIvRwwgE99ueUnNGBvJyR1+sE3z3vHhl5oI6WnauK2WNgojHC/e8LCDgjr6wjH6rzIiKiei/o0vrZs2fj2LFjmDdvns8gHgBiY2ORkZFR03MjIqLaIE+sj0rSbpcz8mZXgFehHSy3/XA+Hl62HbnFUqBeZnVgy0HpWBe2aeze0S4HWebqn6POe+DeqyO7o0OyFBidKAzN9Hq5R97gK5BveVFIXqPO6dzX7OXy+n3ZoR0aGGqVDroD3HMYXBn5M5ZOD5hVQxONYdI2OcceaGm9PIuRGXkiInIJOpBft26dz+n0JSUlGDt2bEhOioiIapFcWh+VrN0u9/PK38vzpW82B256+3cMnfcrPttyBBM/3AoA2HEkH1aHE4lRZrRqHOE+jmdGvjo8euQBwKjX4b5LpfL8grLAJ35Xxu5afk6nE9w/l4QOwIAngSEzQvIadU6VATa5Bt6d+YF8JYPuANXFoqrL0utcmEcgD/j8/a6MALlHnoE8ERFJgg7k33vvPZSVlXltLysrw5IlS0JyUkREVIvk0vrIJtrtcpAhl9i7MvebMk5h4wF3tvr3A9Lztx3OBwB0bxGrlP4CcAfy+ppk5F1ZZI+MZWy4FADllYZmuVOfGfnkLkC//wERjSt5Zj2i6smW15IP9TJ+oSZn5C1+M/Jyj3w9COTVA+9MrgteSvtKoMPupO9OxvFEROQScI98YWEhRFGEKIooKiqCxeL+4+lwOLBy5UokJibWykkSEVEIyZnn8Eba7XIw7go8tu3NxO7Nh3C8oNzrECUVdlUgH6d9UD3srrqUjKVdszk2TAqA8ktDk5F3iD565D1/LvWdTg+HKEAviOiQGIbfsoH92cUQRVF7AeYMogTyVWXkjTUfeFjrLD4y8n4uVPnDqfVEROQp4EA+NlbKuAiCgHPO8V5CSBAETJ06NaQnR0REtUDOyIfHA6NXAivuBtpe5n7c1St/Kjcbj32+E33bNoYZVlyv/wXrHd1wHI2wP6cYfx3KBwB081zyKxSl9T565AEgLkLanl9qC0kgKg+7M+h07kA+LIj17usJOwzQw4aezSPxe04FiirsyCmqQGL0mZnRlofdmf0F8nJGvl6U1se6b8sXHoItrVcy8ozkiYhIEnAgv27dOoiiiEsvvRTLly9HfLz7f3RMJhNatmyJlJSUWjlJIiIKITkjHxYPpF4E3L/DHSkASuARI5QAALYezMNEwwrcZ1iBo4ZGuKjiNezJKkJWYTl0AtC5aYz2+CHpkZen1nuU1rsy8naniOIKO6JqOKnc4VRl5OUhgOFnXyCvMxgBhw3jL2qOrzKPIfNkKfZlF5+xgXyVw+6UjPwZPuwO0JbWK4G8XFofWGWJfMGKgTwREckCDuT79esHAMjIyECLFi3O2HI8IiKqgrw+erirJN7zv+euwCMGUiBfYnVgkGkLAKCpIGWt1/+XAwBolxSNCLPHn5KQZuS1pfVhJj3MBh0q7E7kl9pCG8ifraX1AIwmM1BWiigj0CYxUgrkc4q1qw2cQcrt8rC7Knrk60NGvtLServ3/j7IPfJcf46IiGQBBfI7duxAp06doNPpUFBQgJ07d/rdt0uXLiE7OSIiqgVyaX1YnO/HlYy8/4Fov7gCea+yesCdLa3JsLtKSo/jwk3IKixHfqkNzWuYPLc3kEDefWHEitYJkVizKxv7z+DJ9VX2yCvD7upBRt5nab0rIx9gab1OyciH8LyIiKheCyiQ79atG7KyspCYmIhu3bpBEASfS6AIggCHwxHykyQiohBSl9b7osnIiwAEr0RgYbmUSezuK5B31F6PPCBNrs8qLEdeCAbeyQFjmFGvCuTPvtJ65cKIw4bWibEAgPc2HsQ13ZqiR0s/F3TqUIUytf4sWH5OU1rvsfxcgKX1MpbWExGRLKBAPiMjAwkJCcptIiKqp0QRsLuymaZI3/u4MogmwYEwVKAMFgDq8ntRud+9Raz380PZI//rHGDAE5pjyUvQ5ZfVfAm6MqscyKt75M/CjLwqkG+T6P7cJ3+6DT89MqCOTsq/ikBL6+tFRl51oURefi7o0nrX1PpQnhcREdVrAQXyLVu29HmbiIjqGdHpvq3zk+00RcIh6KEXHYhBCcpggU7nDqgiUI4ShCHKbEDrBB8XA0LZIw8A/60COl6j3A3lEnRlrsxvuLPY/bM5C6fWKz9Ppw2tm7g/s4MnS+vohCrnHnbn43e09BRw5A/pdkyz03hW1eSrRz7IYXfyPz9m5ImISBZQIP/VV18FfMBrrrmm6p2IiKhuqNdl1/n5EyAIqNBFINxRiEihDG0SIhFebANccW6cUIQSMQxdmsdAp/Mx+NQegnXkW/UDfnlFul14VPOQegm6mrA5nEqPfLgtX9pojgYMphod94ykBI42xIQZcUOPZli25QiaRNfgYkstKrdVkpHf9iFgLQaSugAtLzrNZ1YNlZXWB9kj76utkYiIGqaAAvlrr702oIOxR56I6AwXSCAPwCZIgZ8ZdlzUPhFRfxQpj8WhGEeQiO7NVSXDdqs7AJZ75Gsy7C7tEuD8u4DNbwHF2ZqHYsOl16lpj7ycjQcAs81VVu9vAGB9J7cquErS7+rXGsu2HFEC5jNNpcPu8lwtfm0v815x4UykGXbnWVof4Dryru/OM/PjIiKiOuCn+UzL6XQG9MUgnojoDBdkIH9d50b432VtESW6J5zHCVJQr0ys3/wO8HwSsH+ddD8UpfUAECnNZkGJRyAfJmUzC2qYkS939cfrBMBYkS9tPBv74wEgoYP0ff9aAO5Mt/pixpmk3O4qrfcVyMsXdiITT+MZ1YA6Iy9f7FJVSARCYI88ERF5CCiQJyKis4RTFbhVEshXQAqWW8UZYLAVQQ93KrCnbg8SkYdu8qC7lQ8DogNYPk66r0wUr2kg30T67pGRjwtxRj7MqIcgL8l3tgbyXUdI3/9eDjgdSqbbanfCeQauaeZVWp+7D6hwXUwqkZY+RERCHZxZNah75OV2k6BL6127s7SeiIhcAiqtnzt3Lu68805YLBbMnTu30n0nTZoUkhMjIqJaoGTkBfcELR8qRCnQCNfZ3cvVuUwyrMCN5k1oHHGL9kmC63h2V4Bd00A+wpVx9QjkY1xT6/NqmJFXAnnTWb70HAC0vFj6XpYHlBcgzBitPFRhd0o/gzOIPLXebNADx7YBb/cD4lsDk7bWv4y8wQRc8YrU1x+dIm3T+19e0ReBPfJEROQhoEB+9uzZuOWWW2CxWDB79my/+wmCwECeiOhMJgfylWTjAaDclZEP19uAk/u8Hk9yHAdOHQAatXZvVAL5EK3xHek7kJcz8gU1XH5OWXpOE8ifpRl5gwkQ9FLlhL0CFos7cC+3Oc64QN7dI68D9qyUNp7aL32XM/JyxUZ9cP547X1dcIG8nJFnHE9ERLKA15H3dZuIiOoZOXCoKpB3ZeTDBAdwfIfvnQ797juQl5fU0tdw+rscyJfkSFO+XBUEsUpGPnSl9UrVwdmakQekCyu2EsBeBr1OgFEvwOYQlX70M4kSyBv02gGEtjKgolC6XV9K630JsrRezsifgV0QRERUR4LukZ82bRpKS73XnS0rK8O0adNCclJERFRLAszIlzqlx8N0diBru++dDv+uvR/qjLwcqDltQHm+slkO5AvKbDXq71Yy8ppA/izNyAOA0fV52KTPx+Jao13+OZxJKpQeeY9APmeP9F1v0vae1zdKaX1gF6OUqfXVSMmfKrGisLxm1StERHTmCTqQnzp1KoqLi722l5aWYurUqSE5KSIiqiXysDtd5aXUZU7p8TDB5s7IJ3fV7nRok/a+4DqmMrW+hhl5g9k98VtVXh8bJh1XFFGjAKVMvcSZXFofdjZn5F1rmLsutMgT4c/EJejkKgGvdeSzdkrfIxLrx9Jz/iil9fbK95N3r+bU+pIKO857djW6TPkhyGcSEdGZLuhAXhRFpcRLbfv27YiPP4v/B4iI6GwQQEa+wu5AqVMKNCKsuUD+QemBpj21O+bu0Q7Ck/80KIF8DTPygGpy/Qllk8mgQ4Srp7smA+80PfJn+9R6wD180BXIh5mk/wWoSWl9mdWB3OKKGp+aJ01GXp21PvG39D2yHpfVA8FPrXf931qww+4O5JQotx2syyciOqsE1CMPAHFxcRAEAYIg4JxzztEE8w6HA8XFxbj77rtr5SSJiChEAgjkC8psytR6c9ZWaWNsC9/DxQ6rsvJyab2tTPouZ4BrIjJRumAgDzhziQ03ocRahvxSK4CIah26XNMjf5YPuwMAozYjL5fWl9dgLfkBr6xHVmE5/ngyHQlRNVylAEBOUQWWbz2CYwXS75DZoNMG8uqMfH2mrCMfWGm9TumRDy4YL7W6M/42hxP6KipxiIio/gg4kJ8zZw5EUcTYsWMxdepUxMS4e9NMJhNSU1PRp0+fWjlJIiIKkQAC+cIym7KOvHDkD2ljUhffy8kdUvXJy6X18jAyc1RNz1Y1uf6EZnNsuBFH88uQX5OMvCuADTdAWpYNOLsDeYNHj7yrtL6iBqX1WYXSsf7MPIXLOyfX6PTsDicufGEtbA53sCpl5FWfsRzI1/eMvPzvL/8wkHcQiGsZ0NOcQX5UZaqLNMzIExGdXQIO5G+//XYAQFpaGi688EIYjcZaOykiooakwu7AsPm/oXVCJF4d2b12XyyAHvn8UncgD2uR9D25q+9APvMX921BkBrXra45KubImp+vn7Xk5SXo8suqN7leFEWs3JkFAIjVlwGiK0JSD1Y728iBvF3Kdsv952XVzMhb7e6oUqereb/6+j05miAecJ2jOmutTKyv7xl517+vfz4H9v4A3LsJiGnmd/fq9sirqy3sDgbyRERnk6B75Pv166cE8eXl5SgsLNR8ERFRcLYezMffRwvx5bZjmuCoVgRaWg+Pi7VJXbTLySW0l74f3ereJuik/nj5NUwhCOTlzKtHIK8sQVdSvYz8j7uzse1wPgAgXpAvPETXfEDfmUyeWu+aYWAx1qy0vkg1aDAUY+e2HpKqIpoJ2Ris2wxAhNmg911+HlnPA3n1/AhrMbBlcaW7y9dJgi+tVwXywabziYjojBZ0IF9aWoqJEyciMTERERERiIuL03wREVFwKlTDxo7ll9Xui8lBtisjKIoiPtx0CFsO5im75JfaUCF6BLTJHqX1Ce2B8MbQ5AidDnc2HghRIO/qyy/xHcjnV3Mt+Y37Tyq3HUW50o2zeQ15QFVaL2fkpUB+5c6soIeoAUBRubv/urpZfbUdRwoAABvMD+At0xxcpvvTu7ReVp/XkAeATtcDHa8FeoyR7m95D7D7/12W5xIF+zkVV7g/IztL64mIzipBB/KPPPIIfvzxR8yfPx9msxnvvvsupk6dipSUFCxZsqQ2zpGI6KyWW+z+H/gjeacpkHdl5Dfsy8UTX+zEsPm/Kbt4ZeTDGwNRyYBeFcgbzECLC7THtpcDFa5SfGOEe9R2TUT47pF3l9ZXLyMfHeZ+fwl618WHs3npOUBVWq/NyK/ZdQLf7Dge9OHUgXxJRc0CeVEUseNIvmbbebq9MHuW1svqe0Y+vhVw43vAFS8DkUnShapdX/ndXc7IB3u9Rf0ZMZAnIjq7BP1/WV9//TXeeOMNDBs2DAaDAX379sVTTz2F6dOnY+nSpbVxjkREZ7WcIvfyXUfySmv3xTx65DNzS7x2yfcM5JO7SP3v6rJzvcl3IB/K/nhANexOO7U+xhWIb844paloCFSh6gLAVe1cU+8tMX72PksYVT3ytjKMOz4V1+o2AAC+2n4s6MMVqkrr1dPRq+PgyVIUlmuPYdeZEGEy+MnI1/NAXqY3Aj1GS7f/WOB3N0GZWl/1IfdkFWHVP1KVhfozsjtYWk9EdDYJOpA/deoUWrVqBQCIjo7GqVPS2rsXX3wxfv7559CeHRFRA6AO5A/XeiCvzcgb9N5/Bgo9A/m4VOm7Z0a+uUcgbysHKlyBfCjK6gF3IF+SoxnZLWfkd2cVYf76/UEfVg5wHhncDlEG14UAYwiWyzuTqafW/7kI3QrXYY7pDQDV65NX98irS7irY7srG5/aKFzZFmYJg14nnJ0ZebUeo6UVHw79Bpz41+cu8gyCynrkTxSW49Z3N2HwnJ9x1/tb8P7vB5mRJyI6iwUdyLdq1QoZGRkAgPbt2+PTTz8FIGXqY2NjQ3pyREQNQW6xOiN/ekvrDapp4/LyVPmlVmUdeQBS6S+gzcgbLK5J9qqhXerS+lBl5OVeaNEBlEkXjlFyErFh7mF9c9bsDfqwhWXSzyHaYnD3JuvP4kF3gKq0vty93J7LruOFQfdfF2pK62sWyMv98f1bu6sijGZXUO8ZyOsMgCW2Rq93RolOBtL6SreP/ulzl0Cm1j/7zb/YsC9Xuf/8t7uw0/VzBTi1nojobBN0ID9mzBhs374dAPDYY49h3rx5sFgsePDBB/HII49U6yTmzZuH1NRUWCwW9O7dG5s3b/a77zvvvIO+ffsqw/XS09O99hdFEU8//TSSk5MRFhaG9PR07N0b/P/oERGdDtrS+tMbyBtVGXm5PDqv1IYKqILaKNfAOXVGXm+SAvuU89zbRAdQni/dNoVgDXlAKj2We9eLs4G/PwdeboUOe99Udrm4TeOgDytn5KPDjFJgC2gvSpyN5IoDe7nXqgW5xVbklQY3b0DdnlBirVmPvNwf3yPJfV5Gk+v3zbO0PiIhNPMXziTysoc23//+5bfr72JLTlGFMufg/67qiIvbNEaF3YmdR1WBPKfWExGdVYL+S/jggw9i0qRJAID09HTs3r0bH374If766y/cf//9QZ/AJ598gsmTJ+OZZ57B1q1b0bVrVwwePBjZ2dk+91+/fj1uuukmrFu3Dhs3bkTz5s1x2WWX4ejRo8o+L730EubOnYs333wTmzZtQkREBAYPHozy8vKgz4+IqLZlF7n/23T41OkqrfdeR15equpUiVVbWq9k5FWBrjzB3rNPvsTVyx6qjDzgnlxffAL4+gEAQMpfs9E0VgpMzYbggzq55DjaYgQcrgspZ/PSc4D7M7OXu9cxVwl2BYCiIDLydocT3+44jqwC77/DDqeIv49Ky9d2Vl2TaRTm+lw9M/Jn41BCg+sii59AXumR91MeL/9cm0SbMe7iNMy6sSviI6Tf58YoQAyKmZEnIjrL1PiSdsuWLXH99dejS5cu1Xr+rFmzMH78eIwZMwYdO3bEm2++ifDwcCxcuNDn/kuXLsWECRPQrVs3tG/fHu+++y6cTifWrl0LQLpaPWfOHDz11FMYOnQounTpgiVLluDYsWNYsWKFz2NWVFSgsLBQ80UebOXAgZ98Dx0iomrbnVWI/TnugXPZRRXVXtc7IMqwOynzqV63Xg7GTpVYYYUqYytn5D2H3QHAuddJE+qVg7gC+VD1yAPuteRLcjQXIB4efA4AwFqNIV7ujLxBmeJ+1mfklWBRG8i3iJE+y6LywMvjy20OLNiQodyvKpD/bMsR3PvhVqTP+gkAUFBqw1fbj6HM6sC+7GKU2RyIMOnRPML9u39xmquqwzOQN56Fn5OxikDe9d1fm/vJEul3OD5CuliTGG3BC9d3RhjK8aflHmy33Am7oxb/u0JERKedoepdgLlz5wZ8QDlbHwir1YotW7bg8ccfV7bpdDqkp6dj48aNAR2jtLQUNpsN8fHSFfqMjAxkZWUhPT1d2ScmJga9e/fGxo0bMXLkSK9jzJgxA1OnTg34vBuk7x8FtiwG+kwEBj9f12dDdNZ4f+NBAMCVnZOxbk82Sq0OHM0vQ+uEEAbCah6l9eogWM7InyypQAv1nwc5I+857A6QJto/fgSYnixlektcPbrmEJXWA9qMvCoANemloL7CXo1A3lUWHm0xugP5s75HXs7Il2lK6xtb7DhUoJ1Cr/bx5kOY/9N+PHxZO1zdNQUA8M2O45oBd1UtP/f7gZMApKF4BWU2XDBjLcpsDvzfVR0RZZHOpVPTGOitRcpzwnWuY3peQDachUMJlbYHP6X1VfTInyqRLnY0inD/Dl92bhKe7hsJ/CHdd9h5IZ6I6GwSUCA/e/bsgA4mCEJQgXxubi4cDgeaNGmi2d6kSRPs3r07oGM8+uijSElJUQL3rKws5Riex5Qf8/T4449j8uTJyv3CwkI0b9484PfRIGxZLH3f+DoDeaIQ+ueYVAF0Redk7Msuxp4TRTiSdxoDeY+MfKnVjnKbE5E6VUAhD5zzlZEHpAZeg0UK5Itc/50NZWm9spZ8tiYANeql4MYWZEZeWpbLVVofZmw4GXklWKzQbE4w2wHoUFhmx44j+SiusOPC1u4a90//PIyDJ0tx30d/4cLWjdAo0oyjHrMcSqpYfi4hyn0RaOGGDJS5qk4O5BTDFaOia/NYoFy1AoHc8uCZkTeYcdapIiPvXkfedygvB/LxEdqLUTf1aqEK5INrnSAiojNbQIG8PKX+TPPCC//P3nmHuVHcb/xd9Xa9+s7l3G1sg40bvZreQ0+hk5CENJLwgxAIIY0QAgkkISEJAUIPvTdTTTNu4N7t852vV/W6vz9mZnd2tdI1SVc0n+e5R9JqtVrpVrvzzvstt+OJJ57Ae++9B4dj8AMwu90Ou30MDgwyicWZ0ikQCASDQ5Zl7Ggl7dqmV3kwvsRJhXwW8+R1OfJ6R54Jgg5TmfoaM71UaBx53TmXPd7xFrm1F2Zsl+Gm+xLo0Ah5G82NjwzQkQ9E4kqF/gKHhcuRH+PXAaX9XFAj5sutMQA29IaiOPMvawAAn/3seFQVkvUDXCG7/d0hlHnsSZMnfbWf44X8w5/sUe4HInHsbCO/gQPHF6ldDwC1m0BSaP0YdOT5/40Bah95YyHfkULIq0H5QCIahkAgEAjGDkPKkZdlecDtanjKy8thNpvR0tKiWd7S0oLq6uq0r73zzjtx++23480339Tk57PXDWabgjSwPtIAMIT/uUAgUGnpDcMXjsFsklBX5sb4EiJQ9nVmcdIsXY58JKYI+Sb3bOCsvwKXv66+lhe6uqrnKJ9O70hA9Txg9pmZ22cHbUkW6tG8r10iocIDFfIshNxikuC0mjlHPk+EfCysEcff7Pg9nAihiyt2V88VXeRz5zvpOsyBP2oGidboDcbSjgccVrW2AV8dv9UbwuYmEpVyYG0xEOZq1CiOvEHV+rGGlbbaSynkyW2qr7jTlxxaT16g/jYSUVHwVyAQCMYSgxLyDz/8MObNmwen0wmn04kDDzwQ//3vfwe8HZvNhoULFyqF6gAohesOPfTQlK+744478Ktf/Qqvv/46Fi1apHlu8uTJqK6u1myzt7cXn332WdptCvqgaLx639s0fPshEIwhtrcS97GuzAWbxYQJpWQwn11HnooiAyEfCMe1zt6CrwOTuPNmuhzyCx8BrnwbuHEfcM0KoHJW5vaZ9QwPawuRuqKktdZAQ+u9XFi9JElcjvwYF/Is3SHcq3HkJ4U24xrLS4oYBIAv9nUr32sP12aOVbYP0Jz4mVUe2CwmtPvCmuJ3evQV0w+aUAwA+GhHB6JxGSUuKyaUOnVCXufITz8RGHcQcOzP+v+ZRwusgF/MWGybFEdeu7yxO4j93UH1d+vR/Ua5CZuECK0n7F+npgAJBALBKKZfofU8d911F26++WZce+21OPzwwwEAK1aswDXXXIP29nb86Ec/GtD2rrvuOlx66aVYtGgRlixZgj/96U/w+/24/PLLAQCXXHIJamtr8bvf/Q4A8Pvf/x633HILHnvsMdTV1Sl57x6PBx6PB5Ik4Yc//CF+/etfY/r06Zg8eTJuvvlm1NTU4Oyzzx7oxxUocKOHlk1AYc3w7YpAMEZgYfXTKonAYo58VnvJpyl254/EYPYRwZAcoov0jrWzGJiwOFN7qYWF6Yd6NKHXzhgR8gN25JVCd/QSmC+OfGEtue1pUN1uyixpH173q0Lv169sxu52P249c44mbL6LrhOgOe41xU7cfNps3PzCRvz+9S1YMrkUB44vTnprPiTcbjHh20dPwTWPrFGWHTG9gkyqpAutX3oNMO34AX/sUYHiyBtP4rEcef57bPeFcdLdH8AficFmJr5MkiPPRTPIIrQeaNkI3H80uX9rz/Dui0AgEAyRAQv5e++9F/fddx8uueQSZdmZZ56JOXPm4NZbbx2wkL/wwgvR1taGW265Bc3NzZg/fz5ef/11pVhdfX09TCY1cOC+++5DJBLBeeedp9nOL37xC9x6660AgOuvvx5+vx/f/OY30d3djSOOOAKvv/76kPLo8x4+R7FxNTB9Wep1BQJBv9jO8uMrSYX38SW5cOR1OfKcCG73hfHSF/sBANWFBudLfTh9ruBD6zmhZ6eOfGSA/bHV1nO0An6+5MizyKqIT+0uQDEhgXafVug9+lk9rjthhmZZJw2LD1Bx77KZccGiCfh4Zwde29CMax9bi7evO1qpX8CIcVby2fNrMYUr5mg2Sfj12XPJAz60nP1fIvT3MJa7CvTZfk5KWvbZrk5lkoV1bijz6I5h3pHX1xrIB6IhbbvCvR8P374IBAJBhhnwqKypqQmHHXZY0vLDDjsMTU2DC7m+9tprce211xo+995772ke79mzp8/tSZKE2267Dbfddtug9kdgAB+S17hq+PZDIBhD7GjROvITqJBv90UQjMThtJlTvnbQ6HLk+dZtf32XVAwvdFjwzaOmJL9WShYTOYEJ+UCnpuimPdoNoACR2MD6Y/cGaWi9gwr5fHHkrU7AVQ4E2oGOndqnEEeHL1no7dNFh3TrcuRdNgskScLt5x6ID7e3o74zgO2tXsypKdK8Ls4J+Z+dOhth7n82t6YQRcqkCrcPsQjw6vVAJ91XrvXgmMPSR9V6Oi+S4L7H1Xu7AAAnz6lGdZEDPcEoDtJHQ3DfZ9458tveAB67ADjtLsBdDpTP0NQMEAgEgtHOgHPkp02bhqeeeipp+ZNPPonp06cbvEIwJuAHVw2rRME7gSAD7GjTCvlCpwUFdiKwG7uz5MqnaT8HAA6rCf+5fDGmV/XRBz6Xot5BQ+t1OfK2SDcAbXpAf2COfIE+tH6s58gDqivfqRXy5VIPOvzJQu/5tY2ax6wYIqtk77aTyaYipxXFLiK0owYREixH/mtLJ6LIZVWjIaBzkflJ43gYWPkP9fFYFvLMkW9aB3x6X9LTkkGO/Oq9nQCAU+ZV49Yz5+DuC+cnRUJoCgXG8kzIP/l1cvvKdcBTlwB/O0SMXQQCwZii3478hg0bMHfuXNx222244IIL8MEHHyg58h999BGWL19uKPAFYwR+MBDsBLp2A64yQDIB9j4G/AKBIIkOXxid/ggkCUrPeEmSML7Uhc1NvdjXGcS0yiz8ttLkyAPAfV9fiIWTSvvejqcy03uWGkeR4WJrpBvABEPhmA6l2J3iyNMCY2O9jzxAhHzTOtLKj2Oc1GHoyD/48R7N424WWk+FvNPKtQOkedpGxQfjCbLMTJO9+Sr2xZyo1+Tu9+7XbiQfQusB4PUbgEO+rXmaTZuxHPnuQATrG0lqyeK6NL/XfA6tlwwimvjjKxFXUowEAoFgNNJvR/7AAw/E0qVL0d7ejnfeeQfl5eV4/vnn8fzzz6O8vBwrV67EOeeck819FQwnusJI2PMRcPtE4PeTgYQIVRMIBgordDe+xKkJoVcL3uXGkY+y3Fq3Da98/wgcO7MPgX7Bw8DR/wdMOTY7+2eE1WU4KLeGuwGQsO24vpx3GpRid04qQpnAsYxhocgommC4uEzywpLouz3Zih3taPOGlRx55sgDgMVM5GbUoPggy5FnQl6zSy5eyHNis22LdsV8EfIGsKr17Cj/cHs7EjIwo8qDmuI0r9WkKqRx5BNx4IM7gfrP+rnDowCjmh6dXGeFFGkMAoFAMFrot5B///33MWfOHPzkJz/BqaeeCrPZjLvvvhurV6/GI488ggULFmRzPwXDDRsM1BxMbtf/j9wmoskiXyAQ9Im+0B0j65Xr9X3kqXv6fyfPSsprNuSAs0j7r1yG1kuSoStvDncp9wdSuV4pdpevjnwKjjSt1zz+z+WL4aaTTPd5/o3/2W6FFTH87Ln18FNH3mVTxZKVOfIGkypsosXCCfklk4mTfNHiieqKfGi9Pp95LIfW93Hssa9Npo78xztJRMXRMyrSb5evWs9H1ulZ9xjwzq+AB07se19HCyaDIW77dvV+ilZ/AoFAMFrot5A/8sgj8cADD6CpqQn33nsv9uzZg2OPPRYzZszA73//e6UNnGCMwgZXk2ihw90fqM+lGxwIBAJD9K3nGKzg3b4cOfJMACfl1o40jIR8iBPyA8iTV4rdsZBudn4by44vw0DIx6rJRPxZZm1F74MnluDO8w9CkcOCU2LLsdi0DUeY1mP55hZ46WQI78grQt5gUiWuOPLqcfbwFUvw8Q3HYWY1N5mVbmJ4LP9/WPu5FKg58uR77AmSY5Z1ukhJfx35jh197+Nowyi0vnWjel848gKBYJQz4JGb2+3G5Zdfjvfffx9bt27F+eefj7/+9a+YOHEizjzzzGzso2AkENcJeb6vvBDyAsGASSXks+/Ij1YhX5i0SAoO0ZF3WoCP/wJ4aS52XjjyutD68/4DnH43AGCZaTXcUI+7QocFp8wbh3U3Hq4sO7wygoSsFl1z9TNHPmbgyDus5uSw8HTXkzEt5HXHXjymeSgpjjy57ffvlhPyUrpJkj5C+0clRqH13DlDOPICgWC0M6SR27Rp0/Czn/0MP//5z1FQUIBXXnklU/slGGmwwUD5TMBZavycQCDoN9tbST/0ZCFPHfnO3DjyYSq6mJs6YrFzQp46bVKwUxEyA3PkadV6uxV48yb1iXzIkS/WCXmLHZba+dgl18AhRXGiSW0vylxgiesWcPQ4bas/vr4Dy5E3+l/E0+TIa0jnGhs5rGMFvSOvE90mXdV61jbS1tfvlp8YSTdJwk9ijZXJ+b4K2QlHXiAQjHIGPXL74IMPcNlll6G6uho//elP8ZWvfAUfffRRJvdNMJLgi0HVLjR+TiAQ9IveUBQtvWSgrhfyNcVkQN0ViGp6bWcMRciTQe6oceRt3PdUWEtuA52qCzwAR16pWu/U5VzngyPvKte22TPbAUnCcstRANTw+ksOnaSuE1KF/FRzC6oKyettZpPmuFFC643az/VXyOtdY6sbmHQEMH4J4CxJ/9rRjD7aIKYX8uSW5chn2pHf18uda4Ld6bc5WjBy5HmEIy8QCEY5Axq57d+/H7/97W8xY8YMHHPMMdixYwfuuece7N+/H//85z9xyCGHZGs/BcMNGwyY7UD1PO1ziVjy+gKBICUsrL660KEWXKMUOa2wUmfTqB3YkNEXu6OTBX06e8ONjXMsC2vIbagbLEV7QI58SFe1npEPfeRNJqCoVn1MoxA+dpIuBEeY1uPYCRJuO2uuuk6oR315505cvIQUp+PdeEAV8rF+tJ9Lid4NrpoDXPYycOWbxsXLxgr64pE6Ia/PkWfHu30AQj7dpPsXe9vUB3z4+WhG6uO7EY68QCAY5fT7qnjKKadg0qRJuPfee3HOOedg8+bNWLFiBS6//HK43e5s7qNguInH1OrBZitQMkn3vHDkBYKBkCo/HiAD9nIPEZRt3ix0hEjRR37EO/J86HHhOHIrJ1BmJoPx/ubIy7KsFrtz6B35PBDygLbgHZ288HkmYn2iDhYpgYOj67Trc0Ievfvx1aUTUVvsxJHTyzWrsQmo/ubIG6IPra+aQ0RuLrskDBff5ooN8m7xvpU4oPMtAIPJkVcnRqSEbpIkGgRe+Qmw/W3EI1wqz1gR8jyFtYBdVzBTOPICgWCU00fckYrVasXTTz+N008/HWbzGM5TEyTDC3WLHSiemPp5gUDQJ+mEPABUFNjR1BPKjZCP9dPZG25s3ISxvZCE2kd8KDP7AJTgubWNiCVkzJ9QnHYz7b6IMnmRHFqfL0Key5OnLd0KHVZsTkzCPNMejJNbtOvzQj7iR2WBAx9cf2ySu84c+UhcRocvjI92dqAnEIHZZIKPpjP07cjrrifVc43XG4tUzSE1aIKd2gmNf5+AswHcL/0WCXkygAyF1u/5CPj8n8DejyFH5yiLI74OjIlqEbxQtzoBTyWwf6267LELgO+tAcqm5n7fBAKBIAP0W8i/+OKL2dwPwUiGv/ibbUCRXsirofWt3hAqPHYlDFAgECSzq40I+amphDx15Nt92RTyoyxHnq+qbXURwRPxoczkB1CCf6/YjYc+3oM/XnAQzppfa7iJ1Xs7ce59nwAgOcduq+481VdO7ViBd+Tp5EWh04oGmfQkr4y3atcPc0I+6gdk2VCQW7mq9Vc8tApf7OtOWmfgjnweCXlArdPARGhCzV2fLDX3L7Q+HiP/J0eRRsibdI78Z9sasBRAvH074iY10s7X3QZdSdvRCR86b3ECpVO1Qh4A3rwZuPix3O6XQCAQZIgRPnITjAiU0DyJDHT1fYjpQOH+D3ZiyW+W46lV+3K7fwLBKGNfJxlgTiw17gFdUZDN0HptjjwrTDbic+StnCNvdQAuUvis1ORXFscSMn745Dr899O9hpu4841tyv0ChxUSn48987T8CN8GDEPrCx0WNMgkVL4insaRlxMpQ5JtFvL9xeIJpevCuCJtAUHzQKqsm21A5QHp1x9rsKgQJsC5794MNWVBmYAzipD836XAnTOBrr3a0HpO1PvDMTzyyU6y3UQEFWH1uh3s7RjyxxgRRLl0AavD2HmPiTx5gUAwehnhIzfBiIA5JGYbGejq+t1e9/jnOOqOd/HbV7cAAB5YsSfHOygQjB5kWUY9FTmphLySI59VR96C3lAUgQh57LKP8JQpvtidxam0wSyFV1lcYLdAloFbX9xoOAlSxIXSFzot2mij8/+T+X0eqfCh9bTYXYFDdeTLY83a9XkhDwAR49aIFpMaWh+MkAmjcxbU6tbpZ9X60+4CLn4CcBSmX3+swYQ8mywJqKK6UPKrjny6SJqmL4lA3fqq1pHn7veGojBxhWrnmtXJr4hvDAj5eFRbiNdKHXk9+rZ/AoFAMIoQQl7QN0rrOS5/dOHlyt2OXp8iTADA1NdATSDIYzr8EQSjcUiS2mpOT3YdeVXIL9/cgoQMTK/0oLJghLde4wfcVgfgIkK+WPIpiy89rA4VBXbEEzJaepNdY42Qd1iBGJePbbImrT9m0eTIs9B6iyLkS2ItQIIrWJck5H0wQsmRjyUQjBIhP71Kmz5iThf1IMvqxPGs04Bpx/f1ScYeipCn30OgU3mqFN7+CXnmMu98R+PI86H1/nAMVkkN2y+F2mIw5u8eyicYGUR1k01zzwXKpiWvZxPFmgUCwehFCHlB37CBgFkd6PYs+wPWJ+oAABbE8O9LF+H2r5C2dLvbfUgkkvsICwQCKJNe1YUO2C1m4MungD8dSFw0SrGL/NZ6glHDbQwJ+nvuCMbxl3d2AABOmVud+ffJNPyAm3PkizlHfmKpCx47SRlgQpKHfa8AzS1m7q/JOrZbm+kpqiWfWTIpkQ6FDiuaUYqYbIJFjgE+zpXn+sgDSBZJFCsNrfeF1eN2emWBZp20xe4ScQD02qHvq54v6HPkg5yQl3qVqvXhdN0m2CTAnhVARP19mGT1/+ILx2FB8m8EACKRLEwg5ho+P/6ix4EFlwBlU5LXM+fRBJ5AIBhz5NHIRTBo4lxoPaXTH0EQxDmYVeHA8bOrcN7C8bCaJYSiCezvEXlnAoERLHd4Agurf/ZqoHsv8PoNyjpOKwlzNxKjQ4aKsN+8tRc72/yoLLDj4qUT+3jRCCCFI1/ECfnxpU7luwtEkr87h1VNH4jGZeNoo3zA6gS+8g/gzHsBOxHahU4rEjChHbRFl4/Lkw97ta+P+GEEq7PA2vsBwJQKreNpMacR8vrCqvlIGke+TOpFQibpOWqOvJGQp5MA0QCwV21pZ06Q412WZWxo7Ekp5EOhMdCWjU022TzArFPJRJ2zBKiep1nN5+0xeLFAIBCMDoSQF/SN4sirA6vuQARRmThf3zycFE6ymE2YVEYGbbvbjQd6AkG+s6c9RX48VzHdZaOusoEYHTJUhDUFzZhVXYDnv3s4xhU5+3jRCIDPkWdV6wEcUEy+I4tJwrRKD1w2KuTDsaRNxBK6YmEstD4fRePcc4EFX1ceFjqIM9kqF5MFXk7I69uWpRDyLEe+N0SuGTaLCS6bRUkVAfpw5PmK9fk2ucIw64W8mq9eCi9kWVYKVAIGjnwirm3h529T7poSpCbGlQ+tws+f35BSyO/v9CKUjUnEXMIceavu3HbVcqCkTnm4u1FX2FEgEAhGEXnSa0cwJGLJjnxPMAoJZMBcxI2BS93kAe/ICAQClV3tJL94SoUbSpwsABSMU+46bald5aEih32QAPhlBx6+YgkqC0d4bjyDr1pvUR35Kosfy398NLyhGCoLHGm/O14AhWNxVaDmq2jkKHSS4UAbE/J8aH1M19s9hZBnofW9NCWERUcUOCxKvYekYnebXiATM9NPSO6Qko/oi91pQutJjjxrPQdw7edkGXj2m4C7POWm49EwvvrPz7COtgVMJeQTsQheXLcfFyyeYPj8qCCVkNf91m1x4zQRgUAgGA0IR17QNwbhpz3BKCJsHogrpqO4YREh5AUCI3a1ERE0pdyjDV/2VCh304WHDxWZijA/HCh2jSIn2qYLraeOPAJdmFrhwfwJxQAAN41mCBg4iiwcGQDCGkde5MkmOfI+rpe83pFPkSOvhNaHyPmfHcd2i5rSYOZrEfhagacuAR49jxTX49O48qUVoB4lR96g2B3NkeePYyW0vnE1sP4p4NO/pdx0MBhURDwAWFMIeQti+PeK3ZDlUVzrpukLcusxqP/BRaK4INIABQLB6EUIeUHfxJMHuz3BKKKKkFfdGlcWnUSBYLQjyzJ2tRFHfmqFG+iu559U7rLfUTbCW6UoEfIRk9O4UNZIxapvP1dM7oe6NaulC62Pck7mdSfM4ISjcOQLaUX/NpYj7+UceTZZa6HuZh9V6xVH3saEvHqcaVK6ubBvxILqxEo+R0ikKXbnQRAJTshbTJLaJSasK0hosgBVczWLbIiittiJ7x8/nbwexhPudimOrS1eNPWM4lz5Dc+S29lnJD3lXfhd/Dl2DgDAKQshLxAIRi+jaBQnGDYUIa8OrroDvJBXHXmnlbphQsgLBISWTcCu9wEArd4w/JE4TBIwscwFdKm9m40nxGKZdcXiUUj0feTR1j9ZX+xOXxSMki60PkZD689fOB7nLRyfv8XuDChwkHN3q1xCFvDRIuw7dtLnUvWRp4XsWI686sjzQp4bdiS4/1EkwF1rRlGkSKax0M/OvotAl/KUWwoDibhx67m4TpRbHMDUYzWLnOY4nvn2YVhcR/6PFikBIwronL1S66ZlE+IPnIpdq94cxAcaBnr3Q977EQDgy6Jjk55u8SfwWnwpAMCeEKH1AoFg9CKEvKBvuveRW4tWyMdojryRAAmK0HqBgPDYhcDDZwLv/wFf0LDWKRUeEm7s58OX1d8RE6MJmYaAZwo+t9k6yvon86H1kkmdWNSFfbvTtJ9jjvyMqgJIkpTfxe50WM0mOK1mtMkGVevjeiGfIkee2u2hKPmeFUee6xagyZHnW4RFA4YdUvIOvSPPFbsDAGsiiEicHNsaIZ8wEPJTtCL2wGoHqoscSi0bxZGXzJr1Cqzk/8eih/D4hTDXf4QpL5+Pj3e0D+ZT5ZaNz0OCjM8TM/DjNzuTnm7tDcEH8j3bEsKRFwgEoxch5AXpiceAj+8h92eeqizuCUYRoVXrkTDKkReOvEAAQC0a9u6v4frwtwBkLJlM87uD3ep6XEExJyd8Mlq5ngqwiGyGzT5Kitwx+IkHWVadS10hNrW+QPJkIisSZmUt0ESxOw2FTgtX7I535Ol3zIR8NH37OYaxI88JeT5EP8qH1uezkNdFmgS1QtQaDyiTe5rvm7sOk+04gEmHaSLpzPR4V4U8PbeUTdW81G0lkSu7mCPPJvMBfLRzZAv5lbs7Ef3ifwCAl+KHYm9nICmqaXOzF36ZnP/scjg5mkEgEAhGCULI5zEb9/fgjY3N6VfytQDeJkAywz/vG9jbQS7sPcGIcWg9E/KjvXWNQJAJEgmN035E80M4yvQllipCXg2b5dezmE3KID2jvyUq5ANQq7uPGsxcFfOSupSOvJojn9qRtzJhKYrdaSh0WNEJ0lcefs4JVhz5YnKbIrTeqhPyDgMhb0kp5AOGaVx5B+/Iy7Km2B0A2BIB49B6fWcBq4NUbF9yNbcOcflLaJFLpdhd5WzNS11mKuTb2ISNKoS/bBi5fddX7enEdfe/AGvzGsRhwmvxpYjEEuj0q99NTzCKu9/aBj+4avYpaj4IBALBSEcI+TzmtHtW4Fv/XY0NjWkuzEoOqQNXPPIljv7Dezjrrx/h7c2thsXu3Nnsfy0QjDZ4kTn5KADAVGk/5tbS8GW+UFvcONc7o7+lKBPydkXwjiqu2wJ8bw1pPcecSzmhcdTSRQWx9nOK4BTF7jQUOq3olAvJg6hfDX1nk7W05Z++wCCD5cgzXDajqvW8kOecfRFaTzBzkSYRn+K0h6zknGGLpxDy+igJNiFw0m+Ab31It0m+XzbBojry04DiScpLnWayXMmR5/iyoSdt3Y7bX9uCb/13laawZK54e3MrTjKtAgB8Fp+FNhQDgKZo38b9PfCFY4jAiohMj8uwN9e7KhAIBBlBCHkBdrSmmY2mA7gILPhsN3EGWJ5vVMmRT3bk/QYVowWCvCOmDiBl2gbJgSiKaIVwTWh9XBsa68qGkGeOvOyAyzYK+3QXjlPDgHmxx02CuNK0n4vGE5CQQHGogbidMRFaz3PSnCq4Ckohm+jxyfKz2fdUs4DcbnpR23GBkjK03poqtJ4X8kF14iCfQ+tZUceIT/3+zXaEbGQSxRTxKSkimu9bHyXBH9P6vHu2mAl5iwP47mfAhY8CAOy0CF5DVwDhmPZ31BOMYl+ncV55uy+Mv7+/E29sbMHa+u6+PmnGkSGjRiLf2Reymi7AC/kuPznP1hY7sU+uBAC0bvoAj6+sz0qXEIFAIMgmQsiPBdjs+Js3A/+7XNPGqj+kbddL3fbuCFnpmJkV+OGy6ThyejmOmDmOrpOcI29UaEogyDuUiuoSolYPAMAhReChBdk0ofUpq69ncFKM6yE/Kh15Hl6oxHghn7rgZiSWwA8tz+LEt08GNr2gnrvy2QHm+OZRU/HJz46H5CojC/ztJD2E5V/POgOYdARpFffGz5Jerw+tN24/x11weCc0GgD2ryX3y6YN/cOMVuw0tSHiU8PqXWWQ6fljS30TrnuK9Ejnv9ekAoQWLnTcoMPDAeMKVSFvspAwfJo6YUEMHrsFCRmo70hOo/iiodtw1z/YprYTbOjKfTX4tt4wiiViTHTLHmX5q+ublOiCzgAZ00wqc+G1xBIAwJdv/Ac3Prser21oyvEeCwQCwdAQQn608/hXgX8dTy7QH98LbHwW6NnX9+v6CxXyERpGf/1Js/DDZTPw3yuXYu6ECs06gCh2JxBoUBxfByIgYtElRZXQVk2IctdujbBXirZlNEeeDHID8ijMkddjsgBgReuSK/77U+TIT5MayIP6T0SxOwMkSQLc5eRBoF3z3cJiA079A6lyvvklYMdyzWututB6p0FovcWUQnxGg0qbRkw+eugfZLTChHzYpxa6c5WiuJgUGnRLYbR5yXGbPrTewJGPBpWJ/me/cxhOnUP/zyY6sUgjMaR4FJPLSXHJnW3J4fXrU6TjrdiuFsIzCsvPNvu6AigCFfLw4JApJIrhubWNOP2eD9ETjKKb5suPL3Hi1cShAIAjsQ4eBNDcEzbesEAgEIxQhJAfzcSjwNZXgMbVwJ4PoRSkifV9Mep3b2rqWEVlM649dhoOqClUn2MFojSh9aKPvECgwIVuhyUysC60cCH0fGh91x7ggZOVh2xSLJSF0Hr/aM2R55EkQ6cxffs5GS7QdTt2iGJ3qWC58IFOrZA324GqA4Cl3yKPl9+meZllwFXrObHnbQb2ryH3aT2JvEQR8l61h7yzBBJd/oMjximr7m7nXG99aL3VwJGHrFyvHVYzPBY6DmDHP7uNhTGzzELfwyhPvttw1/f3qCH3u4ZDyHcGUSzR93UW4ysLxivP+SNx7GzzKY58mceOcOks7EjUwC5FcYJpNXpDUaPNCgQCwYhFCPnRTKhXvc9XGO6HkI8l+ivkyUUvCgsmlrm0z7GLvkH7OdFHXiCAmpNqcSBEHXmPif5eZFkbWg8AbVuU329WJsXoYD8I++jMkdejVK7nJhPTtJ+LxhNwSfT82L5dFLtLhYs6tX6dI89SEBZeTm67dmteps+RZ9cDR6o+8ny18B1vk8KFpVOA4glD2//RjJ1Oloe9autKVxlgIw751CL12t3u4671/XHkAW2ePOs9zxx5dk337sdN9VfBiZDaS55jQ2MvEgZjiO6A+jvcbeDkZ5NYPIEWbwglIOka0yZNwPmLxuPV7x+J+ROKAQD7OgPooo58icuKp645DOVLLwIAnG7+FL1BIeQFAsHoQgj50UyYC2/rbVDv90PI97ei7CfbyUAiCgvqytzaJ9mgLp7c/1o48gIBNI58UCa/F7eJDp4jPkA2+J14yW/OleXQ+lHvyANqUbR4co68Ufu5SDwBJ3Pku+vVHG0RWq+FD61nx7DJArCweD78m4vuslq0ofXTKkmecr/6yO/9mNzmc1g9ANhpbne4F9i3ktwfd6C6POLHPReTooPfPobr/55U7I4T7ynqSShCXnHk1VoRJaF9OMG0JsmRd1rN8IVjho47L+T3dvj7H/mXAQLROGQZKKKO/MVHz4ckSTigphDT6XG4tyOATrqPJS4byjx2FC8hQv5I05eI+ruMNy4QCAQjFCHkRzO8I9+1R70f74+Q7/sCm0jI+Od7W8j6sGBSKkeec8OUsFYh5AUCjSMfTJDfi4s58nxYPY+XFFxyZiO6hVYFH7Xt5/SYk0Pr+ar1eiER40PrIQNtW+l2RLE7DcyRD3QYRy1QdxhyXPPd64vdzaNtFvmq9ZoWdXxoPZvUyuewekAbWl//Cbk/8TDA5lGWn3lQDT6+4Thcd8IM9XXRNEJekrjfCufIs2u3kiOvjdI5y/xRkmCfQ9PrjMLruwLqpL4/EkdPDh1uMnEno5jmyHuKK5Tn2NilvjOAbrqPpW76m6+Yie6C6bBJcUzu+jhn+ysQCASZQAj50UyIc+T5VkC6FjNG9MeR39nmgxVsxt6GygKda2XgyDNx4I/EcjobLxCMSDhHPiAzIU+X6cPqGVTIF7vI+h3+iPF6g9ofcm4Iw6qE7o9qlMlE7hxkJ+egeEJW2nQxovEEnBI30dm6idwKR14L5/4qYo9vCWfjorM4MT6hRDvZW+Yh36umj7yUQsgzhJAnt3Ic8LcRAV57sCrkaRRDTbFTO3GSVLXeYfxY48gzIa/LkaccZfoSsr9ds2zeeDI5oy94F4zEEab97VlkXkOXcZu6bOCPxOBBEBbaOg/OEuW5CaXkuPxsdwfqO8mER4lbPZ5DRVMAAOZwd252ViAQCDKEEPKjmTDvyO9V78f6HvjzQv7lL5u0uXaUz/d0wU6F/AETykg1Yx6TUbE7cgFPyEBvSOTJC/IczpH3xsnvxQn6e+Er1vPQ0PrqQjLwbunpe2Ku//tDfudhWJXQ/VGNQbE7/nPpI4Oi8QTnyAPwtZBb4chrUXqZ+9XvlnfkTWZuHbWFnM1iwk2nzgYAnHuwWmiMr2afsv0cAFTNU8P68xWrG0o3BgCoXUiOcza5wlrS6dE78laH8eNYCGjZSDretJKIO5hZjrz2d2CV4jjN/JlmGZusYZXzGcyNt5olzKgmkxGN3bkT8oFwXC10Z3Foiv3NqiZRBPs6g0r4fxkn5C10kioazeCkqUAgEOQAIeRHM3xoPd9yrj+OfEx1y9/a1ILfvrI5aZ1VezoVR95mcyQ9bxRaX2BXQ/D/8s72PvdDIBjTKELeDh8V8nbQwWJQrUitgTry1UXkN9fcm0khTx152aYJdx61GEQFWcwmpeiaXyfkIzGdkGfku3jUY+MdeVbZXzfZwVx53gnetxJXFX2Ox68+BLeccYCymHeOlfZzoR6gfZt2m/nuxgOkDoFN7YGOSYeR2+oDye3WV9WUEJ50OfKAdtLrXyeQjjesmB6blDdpHXmAhNfzFDnJOvqweSbki5w2jC8mIjrXjjxrPac/p86sLsADly3CNUdPxbLZVbj6yMmYWKpGj1is5NguibYA/7sM2KP9zAKBQDBSGQOxlXkM78gnOPc73vessj7kdHOz6ow8sbIeK/d04pNdHThaUkPrk1AGBurFWpIk/PSkmbj2sbV4d2sbbjqt748hEIxZuD7y3jg53apCvpvceqq0YfY6R745o468GlqvrzA+KjFw5AESXh8JJJLqC8TjcdjNBnm77sps7eHoxEZFTjTAHcMGQt7fpgp5fwfw8NmQon4c+r01gLNMWZV34c3Mnd/wbPKk85Q8L3THsBeokQ6TSK9zTD4SmHEKsO014JUfA5e+RHLfAaBzN9C9V7sNq66mDRP2wc7kCvf69nMAYHUjEQ1gsUk72cKEvL7Ce49SRM6K2hIi5BtzKOQDkRhKJGMhDwDHzarCcbOqDF9rsZLzyPHxj4CNXUA0BNQdnrV9FQgEgkwxBkZy+cv6nfXGTwwiR35fZ0DJab/h2fV4dk0jmnpCSmi9YZ9lvkURx/zut3GWaYVSVEYgyFs44dxMDTObTIURC6336ERk734AWkc+Y/UmuP2xWsbA6V9pP6cT8im6Z1jjOteS4akwXp6vKGHzgdQt+mw0l3vXe+T2k3tVgagL/+Zbzin3968lt0UTya1kBiYemoGdHwOwPHnJBIxfoi4/5XYiyPd8CGx4hiyLR4Fnr04Orbd7tI/ZpNfWV5PfT99+DgAKqtBUsjhp1SJXKkderQY/ngn57hS/tyzgD8eVQndwlg7otVYb+UyKo6+fFBEIBIIRyhgYyeUnoWgcW/Y2Gj85iPZzvnBMuRDzjC8yzp0DoAoQX6vagigawvh3voc/2/4GKdAhCt4J8pdIAPj83wCA17d2452dZJBoTeiK3endYOrIV1FHPhRNoCcYRSIh49IHVuJHT64b/D5xOfJjw5Gn5yVdXRBWq4MX8omEDGsixSSncOS18IXVjIrdAWpo/bu/Ad79HbDyn+pzMa0Tq3Hk2X3m5FfMJLcTDwEchZnY+9EPE/LV87TfSUkdcOSPyf13f0Nu378DaPgcsBcBtYvUdW16IU8d+U0vJL+fyeA6b7Kid/rZSasWOchvqzsYhbzzPWzYsA7hWFwJrS92WVGb6dD6sA9o35F2lUAkhmLFkS8e0OZtNLTeIdFjvbte01ZRIBAIRipjYCSXnzisZpw8zWX85CD7yLNqrjx1xcn9ZRWYkI8F1aJFXF/gSrkD3rAoeCfIU977LdC6EQAQlq1wu8nA2iEZhNbzUCHvsJpRQt2v5t4Qtrf68P62Njy3thHxxCAHmdSRD8m2pFZho5JUjjxrQceF1kcTCbhoxXrZ5gYsajEsuIUjr8EotD7Jkecq179/u7YnfFQ7YaLkxYOrWs8c5JmnAF/5F3D23zKx52MDJuQnHpb83MGXktvO3YC3Bfjwj+Tx6XcBZVxf+VRCPtCRvE3mxJvMmmXOg76StGqRjZx7aoPbIf33LMx9+mjc+uJGJQWostCuhtanK3Y3EKH8zJXAXxYCbdtSruIPx1EEOjlkEFqfDkk/von4UhcVFAgEghHEGBjJ5S8FskHrHmDQfeTrufB6xsQi47Y0AMhAjoVX+lrJLVf4qErqRLc/d31kBYIRxfa3lLsmmwNPf+84cj/cCzz/ndSh9REvGaAvvw2HuRoAAK29YQSjqrscjmlDxvtNlAutN0t9rDwKSOHIuwwc+WhchhtUYFo9WqdTX+E739GE1rNid7prgD50G+BanKV25E2KI0+Fv70QOPB84jYLCBOWkLD6OWcnP+cqA6lqL5P0BDkOFNQA887T/o9ShdazbfCFBQ2K3MFkwfjqKgRk7QROkZWMEWZJamrfEyv34uOdJMVuUqlbceS7A1Hs6wzgpufW44t93epGnvs2cPdcMm7ow2kHALTR6vpde1KuonXkBybklar9PCK8XpBt4lHgnd8Aez8Z7j0RjGKEkB/N8MXueAbpyO/rDCQVwastpDP0qdozKeH1tI0Tl6dXI3Uo4XYCQd7hUiuhu5w6B3jdo2povV7IA8Dr/wd8+Ef81fcjAECHP4xITP1thqPJv99+oeTIj3VH3kDIxxJwsor1NhcRkAJjmNseDWg6L2jgj2cAmHQECY8Hkhx5t92g1SGrsm5LEVmWzxz7M+CGfer3yWO2UDEPJeJHqfHAX6dTOfIAKZrnUosRKqH1PCYLLGYT2iVtvrnDRH5TPqj//3L0Yk19NwBgUpkLBQ6rUhTv+D++j0c/q8eP//eFupEvHgN6G4A/ziRO+/qnk9+fJ0R71qcwKTbt78Wdb27jcuQHKOSNJjK6U9QgEggyxbrHgA/uAN7+xXDviWAUMwZGcnlMYa3x8vd/D+xfl/alhqH1HQGEIurys+fXwGOhj1MKeRoWzIQ81wJnvNQuhLwgf3GrA+UCj0fT1xiAGlpvVJhp5zuahx2+iM6RH6yQ53Lkx0KxO8WRTxFaz6X2RONqaL1kcwsHOB1K2Lysiih9aD1fXO26LaSKOnPydY78vNoinHlQDa45emry6/XV1QUEo4gHBpv8a9lEbtmkIX+dZuH5DH4iZtZpgKNYfWzkSFN332vTpZ3Q35odarRdjaQWvJ1URo4d5sozc2BHqw8PfrQbjR096rZkeh57/tvJ76+swx2DKUyKax9bAwBDcOSFkBcMA1tfI7e6gtECwUAYAyO5PObsv+HN8kuMn7s/fRufSMw4tD5EQ3bNJgl/umiBWujI6EIHaAveAZq2NjVSO7oNCugJBPlAzKk68mVuc3JfZ5arajTojGjTZtp8YXhD6m9p0KH1Sh956xhz5LXnGcWR5yY/oglZ7SFvdQGn3gGUTQdO/1Mu9nR0wbvtbMJJX+wuxAmywnGk/zk7xnWOvCRJuOfiBbjhlFnqQnaM87n2gv7Bajq0btY+5p31VI681QVMPRZwFKnPpQitB4CEZ5x2OU21cEqqqD6sQv1/s/7srHI9z60vbcK5d76Y/F6JNOeziE8V/Cla6+5qJ8eSIuRdA6tabxiRIIS8IJtE/MCud8n9VNG1AkE/GAMjufzG5hicm5Gq2F3E245TTJ+hyEovrEp+pD1pfQBAAb3It9EBBSdAaoUjL8hjNrep4nJaQYwIHR7aZs6wwnJCdZJtiKLDF4EvpC4LDTG0PgTbGMmRZ33kQ8C+lcp3yoR8kAut94dj2tD60inA91YBiy7P6S6PCkwm1Sn3keKLSVFZvJBnsKiTWD+qlQshP3jYBDoLrXfTSUOZOy+kypGfdjz5P/HnHaOJerps6pyF2uV0TKDUmwBw9mTyvhNLXUrHiFoDIQ8AZTAQLXKcVKY3gj/O+kgbLB5ksTtjR17kyAuyyK731LQlo3Opjkgsgfe2tmJrsze7+yUYdQghP8qx2TkhP4DeqUZCvqkniLIXvoH7bH/GNSbaoiZVoSPGjJPI7YZnSVg9J+QnSS2GLe0EggERDQJruZzyUcLu1m7lvi1icKGWqcjkQ1z5vFVKBbrR7gvDx4WJD9mRHyvt59h56aM/Af8+AXj4LECW4VSq1qvf096OADwSFZh6t1KQDBPYG54ltzULtM+znu82LoQ7hSNviAitHzz6dolMyPNCV/+9zjodKJ8JHPJd8ljjyBvUMKAutevIa4Fpy9Tl8Qi+dfQUuCX1fzzD2oZ7Ll6Aey9WjxEWWu9BADYuDP8/59cZf6bm9QCAl77Yj/e2tqrLeZFj4Mj7ufPioEPrRY68INdseVW9H4/0ec684dkvcdl/Psc5f/tIE50nEIyBkVx+43BxbkbxxH6/zkjIJ2TA1Upyzb4p/w9oXM2F1qfIkZ98NMk1DfcCG5/V5E2WS70I9ojcH8EQ+fIp4IXvAM9cPdx70m/+vWI3enxcDjH7HZ19X/LKzmJgybeAygOAQ76T9HSF1IMOXwS9IV7ID86Rl1mO/FgLrWe0bwOav+SK3anf2e52H0pA3Qx3OQR9oFSu9xHRt+Dr2uePuwk4/hfAt97nXtNPRz6RUK8VwpEfOB5d3joLreeLwUm6iJtpxwPXrgQm0QkYfgLRMLSeLrO5ga8/AxTR8UUsghtOnoXvHVmjvtXaR3BmdRcOmqBuc3yJExXoxvv2H+G/tt+RTVlMqDST3+D2RC3eiC9CTKbnoaZ12N8dxPceX4vL/vM5YmyM0ocjv7udmQcyigZd7C5FaL3oJS/IBok4sO117bI+wus/30PaIQYicbT09mOiVJA3jIGRXH7jdKmz7kG3rvhdPHUP94hB+7kkHj5H7Q+fSsibTMDCy8j91Q9qit0BgL1nV9/vIxCkg/ZVx463SLulEY4sy/jDG1tgAeeaL6NVaed/VVPNHlYXCXk99Q7gO59o+0BTKqUu4sjzQn4wofWyDImvWj+Wit3xbH3NsGr97vYASiV6PjOIfBDo4AX24quSi6fZC4Ajr9Mes8yR/+jPwOqHUm+bF/rCkR84+uOXnVNiA0hl4x15w9B6nbhlv7V4BJIkwRbn/ofxMJlo5VzF8SUunG7+BGWSF0tNW+BGEHazCfC3AQA2yZPwreh1uCdGetXLjWs0fedbvFS0axz5ZCG/s42I91JTADaJ/t4z0X4uGlDrmAgEmaThcyDQTn6DLDpMH17ftlUZfwciMTR0qb8NEekq4BkDI7n8ZkKFekF/coduBj6Q2g2P6Rx5i0mCFTrhH+4B6ml/y1Sh9QAw/2tkRrvhc6BhpeapAt/u1K8TCPoDXx37w7uGbz/6SVcgilA0ASsbVC77JVA5W12BFy68KwaoNSc4KqVutHrD2N6q5saFooMIrefCUkNjpY+8vSh52ZZXlNZXbMDTHYjg8ZX1KBFCvv+w49RsB5Ze08/XcAUdX/p+6vX4Yo5CyA8cfes/FmGSoj2bIXz7xXSOPINN5rP3YP/DQ75LJhJaNwLv/kZZvbbYidPMnymPp0r7SacMKuRDdrLP6+XJAIDA3tXYzwn5hk563tc48skTFTtbfTjBtAprbFer+znQY8ro8wMiT16QHXa8TW6nnaBOOoU4R75hNfDXJcA/SNHqXW1+TXBIp1/UnhKoCCE/yvG4VddkV1Q3OPW1IhX60Pq6cremhYwCm5FO5cgDpPDOrNPJ/Q3PaJ4qDooLoWAIrHqA5D8zNr8E7HyX5Mz3UfhouGj1ElfKZWatG3WDRL4Nnd45KqhO2t68khjiCRkfbld/n4MKrY+qg+QwbLDqi++NRqrnqvfHzQckE9D8JWpN5LzVTl29/3vmSwBAKYSQ7zfMgV/wNbW4Wl/oBWYqmAi0upKLQAr6xqrrgMFcvYE48nzEhVGOvP5/rgh56gay/2FJHXDaneQ+1w++ONqCRaZtyuMZpgaUeWyAl7SqtRSQ7W9IECHv7N2F1nb1HKc4kH068n7808ZN8DpLk9MK+kJ3jg66aNpAlxi/CLIAazdXPl2dUAtzx/kG+jvq3AkAmkl8gExMCwQMcQUd7dALumyywlOmDa3/cN2mlC+L6kLrp1d6MEFqS/0+6YQ8AMw9V/MwQdevjDSkf51AkI6Xf8Q9kADIwH/PJjnzK/85TDuVnjYqHj1W+hvTuz0aIV+sfc6TLOSPnVqYtGxQxe7oxF5CliCbLDCZxoAjXz1PvV88AZiwFABQ1/4BAKDdF8budj/e3ETEwxQ3FQJCyPfNod8FDjgLOPqG/r9GLzBTIQrdDQ39hAk7pwyk3oCDd+Q5IX/O/cDU44Cjr9euz8YAsTCw7nFg0/P0PV1A9YHkfkStPC9t1raZO9DejDvPPwhoJpNqRx1+BObVFuHsIxegSS6FCTJ6dq1R1lfC7DVCPjmkmIXWKww0rB5IypHv8Uwjd0TBO0E2YNXqLQ41xUUTeaLNgd/eoj3GRWi9gEcI+dEOHQhJniosnqgNM33uw7V46vN9hi+L6By9aZUe1Bo58ox0ofVA0sUzUkEG2LVxIeQFg0RfaOiAM7WP932au30ZAK29RCy6zHT/9fmX6ULrrY6k31KlI4FzDx6vWTZgR16Wgb8uBgCYJBlWs4EDNxrh87YjfmDmKQCAsgYSutjhj+BfH+6CLAPHzarEeDsVBwPo8JG3TD8BuOBhoKCq/6/ptyPPCt0JIT8orHohT7/HE34J1C4kYrwvCmuBOV8B5p2v/R0ddCHwjeeSBTHf6vF5LtXC5uYKI/rV8/bG58htBUkrumRaBAdWmIFW0qq2YuaheOl7R+Cm0w7AXvsMACS8nvHWphb88qWN2N3QqL4XF4XV0hvCHa9vwRZ9O67BCHnd+KbTPYXcEUJeMBiW/wr4x1GpWyqy6DirU51Q40Prdd0ZtreS7Vjo5Lto6yzgEUJ+tFNzMDDzVOCIH2JhjdY1r5B6cP0zX+KRT5PDw/Sh9dMqPahCmvZefTnyOmdFGjcfADAJzQhHxElHMAgSupoNk47QPi6dkrt9GQCt1JF3WvrjyBsMOvV58tEArj95JpxWVXwPOEdeV7RpTOTHMw69FoAEHHU9MPM0AICt4WN4EEA8IeOpVWQy86ojJ6vfg0sI+azQX0eeObdWUbF+UOi/Z3ZOKRoPXP0OEeN9IUnA+f8Bzv1X/96Tpf3oxa3No07IyHEiQrr3kZo5kEhkBwD07AOavgAgA4XjNWlE7jrSq36eSS2Ou76xB//5aA9Wbd2jvhcXWv/HR1/E3I++hxmSzqwYlCOvnqPjsoQO+wTjzyoQ9Ie1j5BjvekL4+d5R56F1qepBbGDCvklk8l1q9svHHmBihDyox2rA7j4cWDJ1Sh0aJ2/Y2qJkPj58xvwwApt0Tm9kJ9RVYAq01CEvHZgYa2ejbBsgV2KordFFLwTDAJ9Dry9QK2KDeDjJhnyCGwPxHLknf3KkS9O3kCSkA+iqtCB+y9ZqCwasCPvbdI8tI2FivWME38NXL+LtNUqnwY4SyElopjp6AZA0ojm1BTi0AlONaRbhNZnB70jn6o3smg9NzRShdZnk4pZ5LZti+69XdoJmYgf2PQCuT/pMGA8iQRCzz7S0hYAahdoNjF9/lEAgHPMH+Es0wpctHgCLl4yASYJ8MhcYURO4FzXfD1ONa/E47Zfa/fH6JzaF9w5OgAHOqz0HCyK3QkGiiyrE8Z8iLy/Hfj8X0Swaxx5GknLt5/jJqxCoRD2dpDfwOI6IuQ7hSMv4BhDozkB5p4L1CxQeisfUpXAt44mruWvXtmEPe3qBVGfI++xWzDJps8141yrvkLrLVohb3IUokEiM+6hpi1GrxAI0qMLL4PVoYZ3AvhoazPW7uvO7T71A5Yj7zBRsa3vUZwutB4wdOQB4MjpFfjqUtLLuc/2c/524MM/qq37erVCfkz0kGdIktZht5PCX+Nc6nd09ZFTIAXpRKXJmtxKTZAZ9E5xqt7ILORUCPnBwQt3s924WF2mSSXkbW6SPsQm+6MBNax+zjkkSgAgAmbX++R+7ULNJhwT1cd/tv0Nty+N4HdfORClbjsKwXUt4QROtUR+z2WSLrS+L9PBCO77C8KONgtNJxG95AUDJewFEtQx582IFXcDr/wYWPUfnSNPC1XynTy41+1tbkdCBgodFsyoItctUexOwDOGRnMC2NzAN98DzrwHACD5W3HDybNwyJRSyDLwzha1in1E58jbrSbUWnR9LKctAyR6gRtgaD1sLuy3kAt4rHXHgD/KsBALAy/9ANjyynDviQAwEPIu4CtqgTubFMOOlhQ5aMMIC623pxLyfF6w28AZ1leu59rvOSzk99hnsbtP/gosvw347B/ksXe/8lSzXDK2hLwe6g5WOch3NK7IgdMOHKfmIDqKBl7VWtA/9E6xvjcyg7VGZW3TBAODF/L9TWcYKoqQ36ZdzkQwGwN07AQaVwGQgNlnEqHCwt13Lie3OiEPT4X2MS3MWe6xoVBKduTTnv/0KVn9gQutD8h2tKCC7H8spLTLEwj6Bd/2mXfkO2naiK9F68jz9SUY3P09zWR706sKUOImx2mHTwh5gcoYHs3lMaxtjK8VkiRh2Wwyu/zuVlXI6/vI281mlMm60PqCalIIx1WuXsRTYdAOp91G8sxMnaNEyK/6D7D6QeCJrw73ngiA5NB6iwOYcRK2li0jDxHD5uYUjt8wwhx5G+sjnxRazwn5sunJG0gS8mrbOLuVnLJDfTnyzDVjIX7UmQ96JuKc8G1jK0deD50omVJEPuOVR0wmExdscCRc4Cyicy9TCXnWfsklhPyg4CPg9BOF2aKkjkzox4LJywH1d9VOhX7ReLVQYtEE7gUSaRWpx82Jeepolnlsho78vs4AUpIYREcP7hwdhA3+uAkopC3oRJ68YCAEOtX7vJDvpZPp4V6tI8/GA9x1HqFu5W5jK7mGT6/0YHI5+Y3t7QwMvE6OYMwihPxYxK0KeQA4ZApx/TbuV0WPPrTebpHgiXVqlsHmAb7yD+An24ydQx69E2PzoNtVBwCYtOsxNaRuJNPb2Pc6gtxh5MgD2B0jYdRWxLG5aSQLeebI69NSOBFdPiN5AylC6wHATnPb+3Tk27eTl4Z88IVjSPSQQcTfuxajCWVj25GnguKcOSV4+IoluPII0qdaKbDGem4LMo++PVhKIU9dTuHIDw5NTnyOJuXMluTz1Q83qGkqTMh/8hf6mPudFU9U75fP0La+Y1z0mHqfdjUoc9tRKHGinTry9emEfOnkdJ/CGBMv5O1EJBVPIgtEnrxgIPCFZQ2FvFetHWJ1qb9l7jqPoHre/N8nWwGQgtTVhQ4Uu6yIJ2SlAJ5AMIZHc3kMc+QDHUA8hooCklfcE4wqxcECEW34mS3SDVNCNwhjLnt/8u8sdmgGFHYP/AV16uMnvz6ADzBM5CLPUNB/jHLkAQRi5LRlRQxbmr0jquBdIBKDL0x+WxYwR17nmHFh7spvlceg2B3DroTWp3Hk4zGgixSYXLm1Hifd/QE6mvcAAFpAQlzHVLE7PTS03iWFcdSMCkgsjF448tln4qHasOmUofV0sCuE/ODgU91ymSZSMVO9b7Ko+e+A6ix27SG3dk7I13DF7fRh9YwJS4BZp5P7UfJbLXNbUQgu5Jg68l1GVbsLaoBFV9AuFgOEO0cHZDspLsYmH7qEkBcMAD8fWk+jCmMRwE8jYsNeNarF6lCvRxohr0bHOkG2Mb2qAJIk4YBxZBJs0wg0MQTDwxgezeUxrjJAMgGQgZ59KHKS2eZ4QlZERnOvNmzZtOMtcocXEdIADg9J0roENg+ixdPUx6mKHo0k+M87gsRh3qIPracDRX9cFfLdgSg6/SMnX4z1kHdazTDJdLJM78j7uJxLo0F46WSlYCUAjZB3KKH1yY58IiFjV5sP/tZdSp6oFPGjsTsIbytp0dQsEyE/th15Fqqoc+2EkM8+FhtpfzbzVPJYhNZnh+Gq8cCn2NkLtPuh/13xjvzUY9X74w5KvX22DerIVztiMEvctZheE7qDBkL+oAuB0+/W1iDpLxpH3oH1jT2IFdJJChFaLxgIvCPPrt181xjekbc4OEeerhsNARG1gKNLIsf8jCrye5pNhfxIjEYUDA9jeDSXx5jMwISl5P7H98BhNSshud0BcgFs6tblua16gNwuvpJbOMDBgsQ52nYP7EXleDtOZ+L5CvgjFX7/o8HU6wlygz5M18IceXJcMsd7JIWYtfnIRbey0A6JRbjoc+SPu4m4Wcf8zHgjrlLg6uXAxU+Sx5rQ+mRHXpZlXPXQKkz52as47o/v43t/eUrdlEQGDIUxIpxaZJqWMJZz5JXiQbrjIiIqpecM1lIp1ENylplLyxDF7jLIMDnyNl3nh6SCt9zvjM+JZ+3ojLBqJ+Gq7dpJ2gQV8j1GVbs91cnL+gt3jk5YXYjGZdRH6THsa03xIoHAAE1oPTUjerkovLCPc+TVYnc9Pd14YV0j0KGtKeVEGBcvmYBxRUTwT6kgv6v6jjTpJYK8Qgj5scpxN5Pb1Q8B7dsVV74nGEU0nlAEx9QKN/5vfhRoWEnExYJL1G0MxJEHAJlzCW0FKHHZcGvsUvKYzxUasXAz/2Fv6tUEuSGud+TJhcxLhXyxndzuaBs5Qp458hUeOwlxB5Id+UmHATfsA475v9Qbqp4HVFL3SxNaT36Tb21qwWe7yIBhf08Ib29uUdapQ7Ny340wrIihXCKz9y154chrXT0FxZEXOfJZh++N/P4dwJ8PAjY+rz4vHPnMkdPQ+tnqfbvud6R3wvkWjyYzcPW7wAUPA+NThNYD3G+X/FYrrNoJda+f/KYNHXl9kdCBwBUMLCwg+72jk56/9SleAkE6jKrW8+l0wS61swJX7K69qxs/eGIdgk2bNJtzIoxrj1OL4tYWk3FQo96ME+QtY3g0l+fUHQ7MOJmI6+W/RLFLFfItvSHIMmAzm/DWj47Gtz20EN3sM9Qqs8DAhTzf9sVsQYnLiqBMQ4SjASDRR6Xt4YZ34YWQzz29TcBrNwDtdEY6ps+RdyKRkOGnQr7SRYX8CHLkW73kwl1ZaFd7yepz5IH+hX/y7hRN9Sj1qLmx//2U5G726ga1p9WoOaUuKYRKkHy7sGxBJ8gg1TaWhbw1VWi9cORzhp0WMwv1ANvfJPdbN5PbWFhNtRKOfAbIoZAvnaxOTNp1jry+Wrx+wqz2YOCAs9JvX/fbLTNrDQATndxlkYUahiLkOUe+uLgYALC9g04kCyEvGAhGVet5R97PRXhYnYpB4aQh9KFGrZB3SWEUOtQxxPgSKuS7hJAXEIZ9NPfXv/4VdXV1cDgcWLp0KVauXJly3Y0bN+Lcc89FXV0dJEnCn/70p6R1br31VkiSpPmbNauP1mljlWW3EjG++SUsNhNx9PKXTVi9lwzsq4scMEV9wJc0FHfRFdrXTzpsYO+n699a7LIhCC7XV9+2ZiTAh29r+ngKIZ9znr4C+Ow+4EGaX6sfQFkc8EdiiMrkolbqJKevHa0+InS3vg74OzCcsB7ylQUO9dhKqlrfT/iaE3RAcOS0clywiORufrKzA7IsJ9UIqIk3KPfLbVFUSeT33mUuAxv0j21HnoqBhs/JMXX/McDvJwPv/54+L4R81nFwYcnN68l9NjnKQk8lM+AozvmuCYaA2QqU0do3eqGun/wezO9MF01Tu+sJAEBQJhOYZpmcU3uMHHlPVfKy/sI58pWlJP1oWxsT8gbvJRCkwqhqPS/kZc7QsqjF7pwg1/EEax1LcUthuG3q8VlDHXlvOGb8OxDkHcM6mnvyySdx3XXX4Re/+AXWrFmDgw46CCeddBJaW41zkgKBAKZMmYLbb78d1dWpZ1/nzJmDpqYm5W/FihXZ+ggjm8rZwHzSE/1S/wMAZDy+sh6/eeJd/MzyKA5x7Qe2vUGcqrLpQN2R5HXXbQaufBsYd+DA3k/WOu6lbhuC4Krr6kNdh5tXfwrcMRXoJoXANA6ecORzT/3H5NZHw8T1ofWShN5QDFGQi1qRnbjUu9r8wFu3AI9fCLx9S6721hDWeq6igHfkBynk+ZaONFrEYjbh12fPg8NqQoc/guP/+D4ueUA7+VkUUIszWeMhRchHnWqFfOtYrlrPBEbjamDDM8D+tUCwM/l5QfZgQn7vx+rvgLnwSlh9GWAaw8dhrsh14TuWJ6935PmJcCA59L4/KELeB3TshGfrswCA/8WPBgCY6bGU+dB69RxdUlyMYpdVKaoqHHnBgDCqWm/U2tji0BSJZtXprV2kdWzMTSamiq0xmEzqb9xls6DUTcbVO1p9SgFrQf4yrFfRu+66C1dffTUuv/xyHHDAAfj73/8Ol8uFBx54wHD9xYsX4w9/+AMuuugi2O12w3UAwGKxoLq6WvkrL8/j8L1jbwLMNswIb8AkqQVV6MRTttvwTcsruBzPq20uqg5QBwSFNcCENAVp+kmxywoZJmU2nbWUGTGsvB8I9wBrHiaP+YGIEPLDj4ET4g1FEZNJwTePhQj51m4v8PE9ZIW1j+Rs94xo5YW8kiNvEFrfH8wWtc0UN8lks5hw4aIJAIBd7X7EE2ptBydCcIXUHHlTIoL/O4QMFEJO1bHKi2J3jONuBhZepj4Wjnz2YUKezxdl51Slh3xFbvdpzJLj33L1XHKrT4vQF5fUF8PrD3xo/bY3AACfJ2bgHzHSls6UiOIv72zHF/u6tK9zFGkjmAYKl/5ksrmwaFKpMmEshLxgQBhVre9tSl6PFu9lx7xDisKGKNzePQAAX+k8AECROXkcxPLkz73vY8z9xRt4YMXuzOy7YFQybEI+Eolg9erVWLZsmbozJhOWLVuGTz75ZEjb3r59O2pqajBlyhR87WtfQ319+vYh4XAYvb29mr8xQ2ENUEQG/QdKu/C47deoMxHHc1apSRVLfF/aDFHissEkAQEWXj+SHHl+X5zFdJkQ8iMJ2aBAopdz5K2IocxtwyRJFa5DqlycAVp7aY58Jhx5ILk1DeWXZ83F5zctw3eOmapZXifRaAaWowygDiSsL+ZWv5sxnSOvF+pzzgFqDk79vCDzMCHPow+td5flbn/GMrl25BdfBRz7c+DwH2iXV87WPh5UaD3rOBFQaiu8Hl+CCMg51CxHcOebW2GHTtwM9bzPpz9ZXVg6uRQRRciL8GVBP4lHgVC3+tioaj2DXdu5iecZ0j6Y5RhgdaHHMwUAUGRJnkg6blal5vEDH+2GLFom5y3DNpprb29HPB5HVZU2r6mqqgrNzc0pXtU3S5cuxYMPPojXX38d9913H3bv3o0jjzwSXm9qYfa73/0ORUVFyt+ECRMG/f4jEup8/NL6IKaYmsFm8KVETJ1tzoKQt5pNmD2uUM2T1xefGk66uBlMA9dTCPnhp8erTqz8Rroa9y7fjj+8vhVR0DaB8RimVnq0g7pAx7AWVWz3ZTBHHuBaqSVHs1QU2HFG6T48absN86RdAIDJEp35r5ip9qLv2AkASHA5pFWFjsHv00iHd+QlE5nILKxVl4nQ+uzjKExelhRan8eRcplksBE/g8VZAhz9U6B4onb5KXcAk45QHw8mtN5Kxb+/Fdj7EQDg3cR8JUXPBBlOhOGATtwMJawe0E622txYPLkUURr5JQtHXtBfgrpIkViIFIFkfeTNXCQxc+Qt6rX4QBMdl5bPgF8mywtNycffj06YgfW3noh1t5wAt82Mhq4g1u7rztSnEIwyxpwtc8opp+D888/HgQceiJNOOgmvvvoquru78dRTT6V8zY033oienh7lb9++fTnc4xzgIUK+VKKhb3X0YhuPcI78EMRGGhbXlSLAKtcbiJFhg4obAKpoF478iKK5i/wPXowfin8Gj8Uf39qGlXs6NSGP0/RCPhHVhrblkFg8gQ5aeK7CbYHSznAoA+1UFdgpM9//DpaatuBh2+0AgMksOqFsmjrjTwfEcc845XUXLh5jk5U8fEeAwvGAxQYUjuOeF4581knryIse8hnhzL8QUX3uv4d7TwieSuA8bl8GM2HGfrsdO8j4pGQydsnj4IMTXTLZ3mSpOfNCnj9HW12YU1MIs5WMW8Lh0dA6VzAi0I89YiFS8FOOk+KepVPU59j12WRSzC42IY+KmfCBCPkCk/HxV+Cwothlw9IpJLJpc9MYiiQWDIhhE/Ll5eUwm81oaWnRLG9paUlbyG6gFBcXY8aMGdixY0fKdex2OwoLCzV/Ywq3NgxHGWTFs+vIA8CSyaVKaP2TH29BOBbv4xU5opMT8iy3Twj5EUVrVw8AoMjjxqWHTsJXFhBXNcYc+UQU0yo8sEu60EevQRhbttn8EuL/PRelcg/MJgllTi7c1aj9XH9hrlbYuMWeibayKaGTdFNMdOa/bKo2xA/AzGkzcfi0MvzfybOUyrdjEisn1EvryG1hjbrMZM7p7uQlmmr09LcgcuQzy8HfAK7fnZF6NhnDzo+dBhHyr69vMf1Euh0J22Vy/p8m7cdPj9NNRA6lYj1A0hOYmLc6YTWbMKWqBADQ7QvgnS0taV4sEFD4QncAEfIsrL5gnHbCiXPiQzTi5EATEfKr/JXojZPnF/neAx45N2WKB2st7Q2Jonf5yrAJeZvNhoULF2L58uXKskQigeXLl+PQQw/N2Pv4fD7s3LkT48aN63vlsYpHJ+RZtdl4JLNCnk0YOEuURUdML0eQhgit2FSPl74wKPoxHHi5C3PYB2x+SRtuH+rJ/T4JFDY09uDzHcRdriopxC/Pmou7LpyP/165BBbqlCAeS3bkAcA7+NScQfPk12Hf8w5usj6KMrcNJpm7qA4ltJ4NjMMpZtu5UD07IpjCQuvLpidvqrQWj151CL6ty6sfc/DnuznnkFteWI6kyKCxCi/oWPcTRchT18olcuSHTK7z4/uCLzgnD2LSXh8tM/1E/PH8gwAAOxJkMm66qQEnTtdFfAzVkQfU8zTdh5njyfFpRQwfbm9P9SqBQEXvyEdDqrFQWKOdcOKilljU6hzTXgDA/ZsteHZjt7rujreB3R8YvmWhgwl5UcshXxnW0PrrrrsO//znP/HQQw9h8+bN+Pa3vw2/34/LL78cAHDJJZfgxhtvVNaPRCJYt24d1q1bh0gkgsbGRqxbt07jtv/kJz/B+++/jz179uDjjz/GOeecA7PZjIsvvjjnn2/EoHc+WMhbIsrl8WYgz+6S54GZpwKXvqwsKnRYYXOR9/um5WU0dIyQ8B++p33EBzz5de3zOjdTkFvue38nrBIRw+Mr1AvekdMrcP9lh5AHNLTephfyRoVlcsQEqRXVRQ4gwQn5oaStsEk3fUVoAJBlzUB+htSAKRL97KzXM09BnkxmlkwCLnocuPw1YNEVZJkkAQecTYpiTTt+WHcvLzBb1OvMlGPIbdhL6leI0PqxiyQBTtKHHbULB/56XshbHEDdETh34Xj875pDsZM68ovcbSj88l/a1w3VkQfU8zSNCjhj/iTyEDG09oZTvUogUGFCntX/4B35wnFAAXecFpOoknhCRljWjr+3y+Phhy5qbtPzhm9Z4CCvFY58/jKsQv7CCy/EnXfeiVtuuQXz58/HunXr8PrrrysF8Orr69HUpDq4+/fvx4IFC7BgwQI0NTXhzjvvxIIFC3DVVVcp6zQ0NODiiy/GzJkzccEFF6CsrAyffvopKiryOIwvyZGnA6x4NLOOfNUc4OLH1fY0lBnjyf9znmkPave+MPT3yQQx7sK8f13y8/qiJYKc8s7mVthALkwel9alMVnosZqIYlyRI9mRH8a0CDfCtNAd78gPYZKMiSGjzxToIAMFyixTPYokmktfOgW4+AndtnRhq2OZWacCkw7TLjv/QeBHG43ztwWZh00gTz2OLpBJC1IRWj+2+dEG4CfbBzdRU1AD1B1J7s/5CmAl0Xylbht2UCE/Fzu0bUbHL+GOsSFQOgWwOIGi8QCAsiJy7rUhhvrOEVSoVzByYUK+iBZXjYXVHvKFtdoJpyJSLDIYjaMT2nTe6TPnwSfrCtJuflk7rqAIIS/IcbnTZK699lpce+21hs+99957msd1dXV9tlh44okn0j6fl+hz5G1ZEvIpKHCpM4ul3V9m7X0GBN/arHVj8vPB7pztigDEXaYkJCuC0ThK3QDiSD42mXMSj0KSJFyyZBywjns+PnzuiRMhVBVyredMlqGFvzJH3kjId2vbas6VaGpI4Xgi2meeApx5L/Di9wb//mMJSRpavQLBwDj9bqBlIzD5aBK2nIiS49ivc60EYwube/AFJU0m4NKXgK49mgiiAocF2xNEHBWEubS4cQcBV701hJ3luOxlkmbnohEF9LpjRQz7uoSQF/TBp/cB7/6G3C8cDzR9QSI/e1OE1lNHPhCJ4bfRr+JZ+610+UTcctY83PrPzQB/2AU7gb0r1AgnSoEIrc97xlzVeoEBrE86Q5Mjn92q9QA0uedd4RGS0xc1qAQ6/+vAWX8j94Ujn1u4iZUozHAihK8k3iAL9ELepAp5AFg8XjdojA2fkHdLYVQXZqj1HMAJeYPQ+p4GzcO5pj3kThmXAz//a6Tn8+WvDW0/BIKBMvVY4LBryQQKO44DHUCY1h8RofUCIyQJKJ2suPEAUO62o2biNIQknUt5xp8z9772Am13CzomMksyegNh9OZYKO1o9eJfH+5CKDpCCgQLUiPLwOs3qI9ZcdVgF7DnI3WZxpEnQj4YiWONPAMHJR4FTvw1cN6DGF/iwr+uOjr5fTYlR7QyR75XOPJ5ixDy+YBVl2uj5Mhnv2o9ANJ+g1IYaUE8kT6qIifEDIT84iuA8bQCsBDyuYUTqtGEhOssT8Mi04GTRe/I08fs2NUL92EU8g6ESY92liM/1AkypWq9QW2JHm2bTMWR5/PjTWbS81kfZi4Q5BIm5DvpMSqZdZXtBYLUmEwSnv7O4XBUz1IX1i4EahZk7025c7cVMexoNe4cki1+9uwG/PqVzXh3S2vfKwuGF921GBUz1UK0SrG78dp0IsWRJxM1VpsdOOx7wHhaW4KdMwF1W5tfIn3pOVRHXgj5fEUI+XxA39JFyZHnq9Zn0ZE/5ffK3XFoR3Pv8PVlDUXjuOa/q7GrWVdd1FEMjJuvRi+EepJOmIIswhVzsyCGr1neUZ9LCq2n4dFMLOtD6YdRyLsQRmWhPXNFJJWq9VxoffMG4JmrkqrY2mlxQFTMgkAwomCTx92kKjNcZSSMWiAYCPy5LdupGdx1x4YYPtnZkWblzNITiGLV3k4AQJtPFNob8bRs0j4ungR85R/aZVUHaNugFpD7TMg7bbq2qOycCRCDyVFM6ovUf6pZTc2RF6H1+Yq4kuYDqRz5eJRzDrPoyM88BfjmewCAGqkDDcNUOEaWZdz47Hq8vrEZXp9udn3yUcS9VFwiWbSgyyWckLchBljUtmqQdBe4vhz5YcyRt0gJ6shnKGWF/Vb5qvUPnQGs/x+w7XX6Hnbta6oOGNp7CgSZhhVaZHUdRFi9YDBUzFDvZ/sYMmkd+Q+3t2X+PXoagEjyeGjFjnawwEXhtI4CWjZoH7vLgFmna5fZCwBHIfDtT4BrVyuGRFMP6aDksuom/fkxkNWhdoFgk6GUQlHsLu8RQj4fsOiEPHP5clTsDgBQMhkAUCZ50dTWmd33MuC9ra34xr9X4rm1pIJoUqXzqceSW4tNFU8svP7Nm4Hnv6spyCbIMFxvb5Mkwy5H1Od0Fy59jvxICq0HgImlrizkyHOOfFD3+6mYqX1cKYS8YITBip91cY68QDBQyrlzXbaPIZNJiaiyIoYNjRlunduwCvjzfODZq5Oeem+rGk6f69x8QQo6dwH/OgHY8orxczyustST+FUHAOUk/e219U249rG1AAwceb5IrsnCpdlpTSgWWu8Lx/osBi4Ymwghnw/oQxjZCSERzU1oPQA4ihAyEVemp2V3Hytnlp5gFFc+tAordpD+xUvqSmFHRLsSXwnUWUJug92k3cfH9wDrHgFaN+dkf/OSqNaVMMeD6gPWl1h5kh2rMkl/oA680ot1mIW8224BonT/rY70K/dFuqr1jMrZ6v2CcWrVZYFgpGClQp5NyonWc4LBwE9a5iKqg1Wul2IIRDIslF74LhmDbXlZYxLIsoz3t6nuf29QOK0jghe/DzSsBJ74avJzEV2EJ5tkOox2jDnlD0kvWVvfhR8+uU59iV7I80hmwFZg+F4stD6ekBEUhRHzEiHk8wU+PNnG5cjHcuTISxL8jmoAQKhjXx8rZ5b6joBSYO8bh0zC4988BMU2csL7WDoYOOqnpIcsg+XJBzu1RcZEqH32MOoiAABLrwEOuUa7jJ90ikcU4e4FmSiShzG0XoFNTOjrUwyUdFXrGXzeKF/oTiAYKegdeRFaLxgMJZPVKKdctC+k1xobYkjIQCSeGNx2EgmgbRu5BYAvnwLatqjP+1qxvzuI655chxe/2I9Wr3oNE7nPIwSuaDN6m9T/JZA8fmFj7ONuAa5+B1iijbpo7A7i6odXIRxTt2FK16bWZFLPoSx6kU7+OK1mmE3ktWLSJz8RQj5fMPFCnmvXFaPOYbaFPICYhxT3SHTnVsg3dhNRNX9CMX519lyYTRKKrOQEekvoIoSOvFH7gpI6crt/LRDqVpcH2rO/s/mKUReB6SeRQomOIu1yPlw9HlWFvExSSOKR3BdTDEP3+2EX28H2U2YoQp6bUOI/v80DFNaqj/n2NgLBSIH9Dtj1RvSQFwwGs0WduCyozsH7qb3kASAUGaSQ//xfwF8XA6v+rT7mad+GX7+yCc+ubcQPnlgHAJhuasRV5lcQDIoe9iOOu2YBj56rPmbntclHARc/oYbFW2wkt10n0h/+eA/afRHMHleoLGtPV9TQ4uCEvA/48C7g93VA6xZIkoSqApJP39AljpV8RAj5fEHi/tW8aGeCI9uh9QBMtN2Gzbc/6+/F09hNhF1tiVorQKLiLwwr6vXF96YtI7fb3tC68N7mrO5nXmMk5MunG69rNhbyfolc6KLh3Av5ILjCNLFI5hx5Vnwx3KuG6/OTA0UT1FQZIDeDW4FgoOgntEomDc9+CEY/p/4BOPoGYLJBn+1MQ8dKDhOJ4Bt06HLHdnLbSqubswJ3bFK2fRv2tGvHIW/ZfoqfWx/Fss7HB/eeguyyk+uswxz5Jd8kxZ37YH8PWf+8heOVZS1G3ZyOuZGE6R97k3qdj/iA7W8Sk2nziwCA6VVkwn9bS25bJApGBkLI5wt8aD0vhNgFJQdC3llBBm+FkWbEBhuiNggau4gAGl9MhbwsQ6IzqGHZhgc/3oMX1jXinuXbcf3TX2CVdRF94WqgY6e6IV9LzvY574gGk5elEvImszoxlYgqOfIhMxELXp8Xrd5QTgu/BGV+cszHOfJDFPKeSsBTDcgJcjwCOiFfq30sHHnBSEQv5EunDs9+CEY/kw4Fjr1RbUOaTei4qMBCriWDFvJsYpcV0GUT19XzyG37diU8Wk9N75d4ZnXD4N5XkBuYI68vLJ2CDuq+l3vUcUNXwCCF4pgbgJ/uBEonq+H6ax8B6j8h9xtWAQBmVJHntrWkqaUjGLMIIZ8v8I48H5qrOPLZD613VdQBIL3km3pCJMeoYbWap58lWGi94sgnYkQYAQjBisc+q8cPnliHu97ahqdWNeBHr7fSC6wMbHhW3ZAQ8tnDqEBd+YzkZQy+BR09fsJmcjFr6erFkt8sx8G/egvrG7Jf1yAWTyAObhAW9qoDN74X7GCQJDJwBYC99OLNu/yOYu17CCEvGInoI1PKhJAXjALodcZtIeOFYGSwQp4KPUXI0+sdE/Id25XIwJPnVOPeixcoLy2UArj+f2sG976C3MAc+X4Wt+3wkTFLqduGX545BwBw5/kHGa/MwvKNxhKNqwBZVhz57a1CyOcjQsjnCxohb1Id+jAVOjkMra+ROrCvKwCsuAv413HAC9/J6vs2dpOLaE0RFfJcGPf5S6dh/oRiHDa1DMfOJJWU93UG0TPhOLLC9jfVDXmFkM8aMQNHviyFIw9oW9DR/2d7hAy67IjCJJEZ7o92Zr+ugTcUgwlchEkspEa6DDW0HgAmUiFf/zG55X/LNpf2Al8ghLxgBMI78o5i0VlBMDrQC/lBO/KqkF/f0INuLxVcVMgn2rahJ0gc2T9ecBDOOKhGeekC0w48YfvV4N5XkF0S9HhgY8r+OvJ+MpFT5rbj0sPqsO6WEzRh9oYY1dsJdABdezBDhNbnNULI5wv6FnR6Bz4HjjyKyImqVupAQ0cAWHE3Wb7+f1l92zZaAba6iM6Wcu7vzWctwPPfPRyPXX0I/nP5EiyaRFrPfc7C6xNcuJNP5MhnDX3VV0dx+srWVnrBjAaUFoqTx5PBT22BGRcunggAiMSyn8LRG4rCzAv5aFBtETPU0HpAFfL7VpJ2iHw9AatbF1ovcuQFIxB+sonvECIQjGSoweEyk9D60BBD6xOBTlz7+BqYaDpYdxEp3Cf17IMDYZR7bKR9qY7Fpm2iR/hwY1RVnrVvHkC72XhCRqefvI6F1he7+jH+ThXd17gaMwNrcKbpI7R5w+jyZzfCdbTQ2hvKm+J/QsjnC5JeyOsc+FwI+YIaJCDBLkXR0dqY/fcD6cnKwpjKWD4SO+ma7UkTHIdOJf0/X+usTepf3tspHPmsoS92Vz7D+MLJUFoEdiuvPXAqifhwm2KwW8j/NSdCPhiDCdwgKxbiit0NsWo9AFTNAeyFZHKgZYM2DeGgi7Suv+jPLRiJ8BNaIqxeMFqg4yKXhRa7G0RofWtvCOv3EBMg2NOOvR0B2EAMgjXdLsBZCgkyJkvNqtlgINpFj/BhxmgihQl5xZHvW8h3ByKg3ZBR4h7AuNueQsjvWwnn4+fgHttfUSc1iTx5AFuae7H0d8txxO/fxbf+uwqPr6zHI5/uHbOtHIWQzxf4YndA8kkpB6H1sNgQsBGXNdheDyCNUMsQPcEoYvSsWcpOmkwIGZx0D6aO/NoGr1q9nmIKdYtZ8WxhJOTTwaq5h7rV/6eDtnKJh2FjQj4HRRV7Q1FtaH00oIbWZ8KRN5mBCUvJ/fpP1O/qoseAmvmAuww4+FJg8VXkvkAw0uCjRkShO8FogQl5c4KI7559QNMXam2hfrCmvgtmmjrmRhCTiixwSERQ9EQk5Vo3VdqPUjftfmJQ/NUXEj3CRxxxKgwVR77v0PqXv2wCABS7rLCaByDBUrWy3faacrcK3djWKsLrt7f4FInzxsYW3Pjsevz8+Q24/4Ndw7tjWUII+XzBpBPycV1xsVw48gAibhL+HO+uT++4Zoh26sYXOiywW+h3oMye2pPWnz++GACwq92PxsojNc95pBDausVsZ1ZIEvLT0q/PesuHelQhb6dCPhaG1UyOrdw48lGtIx8NAVE60MtEjjygFryr/0T9vFVz1efPvAc47Y+ZeS+BINPwYaHCkReMFqjBcVXPvVhvvxLL3jge+MdRwL9O6PcmwrEEHFDHW29cPUu53xUxKde6qdJ+lDGzIZIsxrwhETI9rMgGERHxCBHz7Lk+HHlfOIZfvLgRAJSaCP0mVWh9d71yt1jy4bk1Dcat7PKIKGfgLJ1cirm1ZGx47zs78L9V+4Zrt7KGEPL5gj60Pq67KORIyEvFJE/e4t2PXDjyapsPvs936gqjJW4bppSTmc9TX7EjLmv3cde+3KQE5B36HPlJR6Rfnw+tj+sc+VgYNjOZtAkPR458LMg58hkIrQfUPPm9n6iFAfsx+y8QjAj4CS3hyAtGC3Rc5El4YZdiSLDIxrbNxqHWBoSicTgldbzlCLUp9zvDJtWRN+1XowbDyYZBIND/KABBFjBqkRuP6GrWqNfkQCSGQEQbRdHKCexlswdYmNZIyOvSP6vMPVhT341ld72P5ZvzNxWUGTjLZlfiyW8dij+ePx8AsETajP8982TS/2W0I4R8vqAPrdeTi9B6APZSUoSsINwMOfs6XnHky7h+nX3lM/1g2XRMrXAjbC3Ex4k5muf27d+flf3Me6g4/UX0Unx4+vvAhMXp19eE1tNBEnPkE1HY6OGeuxx5PrSez5HPkCNfczAZVPpb1WUGESUCwYiEn0guE8XuBKMEblwUlG148PB3yAM5oYZV90E4loCTc+ThbVLudoagC61P7cgH/eqyUDSOs//6EX750sZ+fhDBkDFKp4hHtSYEHVOGonEcdcd7OPHuD9DD9YfvCqgTOrd/Zd7A3t/IFKhdqHn4/aXFOGh8EbyhGG55IX+PDebIs9SFaZUeOBHCU/Zf4Sn7r+D1jq3IWiHk84W+hHqOHHlnxSQAwDipXSn4kU34Nh8KaULrAeCs+bVY/uNjsPm2k9Ja5CIAAHWaSURBVOE79W+4IvIT1CdIEbFVW3YhkYsdzzdouHgAdrjoMZIWFlrfuhnw0ZnngnHK004TmXHNRY58dzCiC60PqBf9TDnyVkdyte9+FNYRCEYEZdPI77NyDuAsGe69EQj6BzcuapAr4I1z46ho/ypih6MJOMFFQHpJ4buQbEVvKKYI+SlSE0pdtGJ9OFnI847853s6sW5fN/7z0Z7B97Yf63x4F/C3QwF/R2a2Z/T/jkfUCDmzXUkX3d8dRLsvjIauIO56a6uyeqefiPqDxhehzDPAiXijCDxWO4dSjh784xuk41JzbyhvazpF4uRzs1pJZpOEc2erporfP7bqCAghny+c+08ShnP6n4yfz1VofRGpLF4rdeREyDNHvryA+3xsBrWPnp+SJOHYRXPxqWUxukD6dLa1NuOJz8dejs2wQ8PWwrJNdSXSwULrt7xC8tMmHkbEAsXBhHws+4OcTn9EF1qfBUceSL6Q5+g3KxAMGasD+P5a4FsfDPeeCAT9h5uI9cOBQExSoxv1dV1SEI5EYJc495468hFYSZ50MZm4dkoRVFnpdcPAkQ8H1GUxbvC0bl93v/Yjr/A2A+/+FmjdBOxdMfTtxWPJ6agAWRZNTtX0coUJ13L/H9Yarl9jHD2SBHzjOcBEJ5MqDwAWXa5dx9+KEjd5Pp6QyURRHsIiMfligjefWKfcD4TGVg0BIeTzhdqFwPW7kn/4DFNy79KsQHvJ10gdiMazr+TZibPEZRRa3/eMqMNqxrs/OQYz60hKQDF8uP21zWj3hft4pWAgJOjFMAQrSlz9SPNgofXMCV/6LRp1QmbE6zpW4F7rPfCEmjO+r3o6fJHk0PpMVq1n8JMCFkdOikUKBBnD6gTMObrOCASZgEV+AfDKTgRjCXVCtZ+OfDyiy62mjnwYVvQGo4DZghjI5ECpg57TDXLkwyHVke/lCqWtqe/q137kBSzNbuX9QIJVlM+AaEv1v45HVUeeM4Z6uTZnbV51rNhJQ+sH1HaOZ+pxwE93ACfcBnztacBdDvxoIzD9RPK8rw12ixlumluYrz3l9aH1AGCPq//DYMCg3sEoRgj5fCLdwD9XooA68pVSNxL9zDEbCmxmzmHlagSkaT9nRFWhA44CUlRkVnEcvaEY7nh9S0b3M99hg50wbCh09EPIM0ceAAprgVmnk2OYTs4sXXcjzjB/ioN972Zhb7V0BXRCPhZUQ+sz0UeewR+vIj9eIBAIsgsn5P1wkjB2Rcj3TwzEw7rcaurIh6kjn0jIiMhkgquEndYNhHwkqG6nm8u73ri/p1/7MeZZ/zTw2xpg7aPAqgfU5f2ccElLqv91Cke+N6g64W3esJKOqTjyriFE0zmLgcN/ABTVksdF44HDf0ju0xo6bKKgM5DfQt5u4SRuWP2dBEMZOCZGEELIC3KLqxQynbn0gDs5JrITAh1NkB+0xcRNVChVvweQY0zzOk+eSl7z7ta2dGsLBkiCXihtDhdMpn5MKnEDLCy6QnX6qMCVqFNvj2W/0m+HLwyzxEWXdO1VLxqeisy9ER9aL/LjBQKBILsokV8ktD4YjavOaz+dXjmVIy9b0eGL4IdPrlMc+XInvfYZhNZHOfHBty5r7R3j0YENq4BWnXGy9TXgtf8jIe+7PwDe+Q3wzJXEhX/hO0CQi1Lo54RLWqIpxhF8jjznyHs5Rz6WkJUid53+ITryqfBUklsfGZey0P3uPBXyamg9N5bkJseCQeHICwSDR5Ig0fB6Df3MNxsoLHyfD7EZqCMPQBHy5WZyQu/whRHLQSG1vIEJeWc/HWwPbd1itgMLL1OX0/Bz1ibIFs/+zGuXXzeQ2rmc3FbPy2xhL+HICwQCQe7gJox9soMIaDahuva/wMs/ImISQEtvCKfd8yEe/WyvZhOy3hFWHHkbvOEYXvxiP6IgE9FuC50QNih2Fw0bO/JtYznNz9sC/Ot44G/aom54/CLgs78Dax4CXvwe8MEdya9lqWiZcOQjxtto6fIqEzq7uuOo7yDr8aH1ANDqDWNHqw//W90AYJA58ulwU8Mg4gWiQSWVlBXXyzciBqH1CPWqd0WOvGDM8b01uX2/wnHJyzKRx2RAlM3M8SE2A8iRV3CVAQAc0W6YTRISMtCRp/lHWYFOrjgc/cwpr5gJnPAr4Pz/kDwxxjE3AAu+gYbZVwEA7InsCvlYPAFvUDeQYm7A5KMz+2Z8BIlw5AUCgSC78EIeTqyt74bMhPzq/5AQ7g1PAwD+8s4ObNzfi5ue26DZRJKQp9eHCBXvZpMEj4tukxVUY458+UzlZQGu0jbvyPM52GOObm5SxChqc99nQNee5OWOImDOV8j9jDjydBuF44HvfIr2kvkAgFufW4enPt0OAGgLm3DDs18C0IbWA6SOwcX//FR5XDKU0HojHEVq8VtfqzJRkO858jZNaL3qyIdDwpEXjCUKa4Gyqbl9T9bvmycTs6YGxGhovZUP1+5n1XoNNHTJ5G9DBW0b0tI7tmb1hhOJTq44XQPIKT/8+8Cs07TLFl4GnPUXxN3VALIv5LsCUW3Fep66IzP7Zppid8KRFwgEgqzCCfmYxQNfOAZfQlfDpZt0sWFjDT1SCiFZVlSIcxbU4qVrj4DdTs/n1N1XRMe889A5jlxHunpJutar65vwzJoGZTuBSBz+8FitTs6N24z6uO9JUZF+0RXqBH8/hPz+7iB+/NQX2NCoqzcQCwMbnwN6aKciRyFQORttrOOcHEX79pUASKrE+gbyeq/Okb/puQ2aCZcZVZ4+92lASBLgpuH1/jYU04LB+Zojb1S1HmHVkY+Ex9bYXZSQzVcsDuJMZ1ps9AebwUksS6H1EcPQ+kE48uyi4GtFVaEdzb2hsZ+blkPMCfJdutyZucBJDrIdR9aFfETJx9fugBmYdFhm38wiHHmBQCDIGZyQryovAxqAzrCZNqOlxMm1y2NPMZxOISQnVJbg7gvnkwfMTdU78vYCuFzkWub3efHnt7fj7re3JW2rzRuG2+D9ZVnGmvouzKwuTL1/IxmZ7wYTIEKap7cx+TUTlgKHXgt8/m/1dX3wf898iQ+3t+OZNQ3YcztnDrx3O7DiLvWx1YlQNI72oAxIwGXzbJi75TUAwAZ5MrzhGDr9EcO2b7XFTjx29VKYJAkTSjPYzYbhqQB6G4gj75oOAOj05aeQZym1NrOxIx+JjC0hLxz5fOVbHwJH/RQ45fe5f2+7gVjLkiNvHFo/iBx5brazooC8rsU7tk4Gw0Y0CLNMLnwuT1EfK/cPk50MtRxydkOoOnwRY0e+ZkHyoGOoiGJ3AoFAkDs4IT9hHBkDtAZ1xVipU8wL6XBMDQOXaDG0iK1Y+zr+HM56gy//JdBdr4oOmwd2KuTtcsRQxAOp8+SfW9uIc+/7BFc/tMrw+RFPjLt+GznyRlzxBjFeBtBdYFdbim2vf1r72OrC7nY/QglSg2eheQccUhTdUjHujp0HAPh0V4fSHvD8heMxrdKDujIXHrx8MSaVubMj4gFujNqKiWXkPVbu6YQsZ7/Nc04JdKasWcCIGIXWh9Roi2hYhNYLxgIVM4Djfq5t45UrjBz5LOXIG4bWK478QIQ8LSYS7MS4AnISbxGOfGbwkZYpYdkKN23zN1TMDiLknVkW8p3+FEJ+8lGZfzP+eHVkZsJDIBAIBCng0gCnV5FzbrNeyNPidXyL2y6+yBh12cPOSu3r+IhAMxXy9Z8AD52hFruzeyDR874dEZgk4FtHT1Fexqpyp8qTf/gTkmP+ya6OVJ9wZMOLcGb2GAjTPYkq9QFrpawI+b5Non5HK9jc6PBFlOKEUtMXAIDi2cfga4dNAwB8srMDXurIHzurEm9fdzTe++mxmF5VYLzNTME65PjasGx2Fdw2M3a3+7Fyd2d23zeXBLuBOyYDd85Iu5pxaL3qyEcjY2vsLoS8IPfk0JFPG1o/kPZzrlJAItuY5CSv3989tmb1hg0q5NtQhOIMVXM109B6V9aFfNg4tD4bQp7PkR+OCTiBQCDIJ2xqzZYKjxXjihzwJ3TXKNpOju9i08kXGYuR+zGnrhWp2UDIA6R4W4Q58gXKeb/KmcDfv74QN54yGwsmFqPUbcMhU0gR3jZvGOhtShK58cQod2P5cSFzYRPasPUQbLgm+iNEZDPCB35dfUKpWt/3GMBtN6d4Rvf9WZ3o8IcVIa8U2qs8AIdOJf+LJz6vx+p6UtCw0KGrp5BNOEfebbfguNlkcmPV3q40LxplNJNigsrvIwXRePr2c3ERWi8QDBGbwcwknyO/+wOgY2dG3ip91foBCHmTGXCRPPlZHnJh2NLcm+4Vgv7iawEAtMtFGWvLYnYSJ8WJUFbbBHb6DYrdmW0kTy/T8BNPXH9jgUAgEGQBSRUCktmGw6aWIwS9kCeOPHMBAZ2Qpzn0stUF2LlIKo0jr9sm58iz8/6li6tx4hxSxPXpaw7DRz85AqdZVqIEvSja8xpw1yzgpe9rNhMzEvKbXgDeuEktrDeS4SM1WS93XT2lDYk6bJEnYmH4H2g9mmtDN4DQej4tIu3kh9WNLr/qyCtUzsahU8tQ6rYhGpcRT8iwWUyYnumidukonkBum0nXhGkV5L33dvQzJWFUICUtWb23Cy9+sV+TzmJctV4dr8eiY6t2wCisfiEY9Rg68vRku38dCS0DgFvVnJYdrT50+MJYSmeg+4txaD3LkR9g5W93BeBvxQwPuZBsa/YhGk9o3X7BgFmxbhOOANAmF6MsQ0LeQkPrPQji/H98gue+c3hGtqun0x/WCvmKWcCUYwFbFvLg+C4LQsgLBAJB9jniOhLyPut0HB5tR+uXunFD734gHkWYd+S5auEmGlpvsthJJFWYjms0OfK6oTgrdmfzqOd9zp02myQ4t72Ii3b/HAnLcTh0LzU+1jwMnHmvsh4/iR2OxWG3mIGnLiELyqYBiy7v55cwTBg58jFtWPQXCdJ1yQsX/FGuRd0A+sg7ubSIDn8YlQUpTB6rE53+CGyyzsGvnI1ChxUfXH8smrqDiCVkVBbYUebJYXeZqceT232fAoFOTKJ58ns7slvwd9hIxPHRri587V+fAQBuPv0AXHnEZADqpJq22J3avvFri7hUjDGAUCCC3GOUI+9vBwB8+t7Lhi/5xr8/w4X3f4pPdg4s14tVr9Q48mzSYCDt5wAlB6lC6kGBw4JIPIHtLb4+XjQCefNm4PGvAina5eSazzdsAQC0yUUozVB/VYuLOPIOKYov6zuy5sp3+Lmq9ZIZ+O5nwCm3Z+W9NI68CK0XCASC7LPsF8AVrwNWB5ZMLkUIunDpeARo/lLryHPF5yTakUWy2ABnifo6vhhqSke+QD3v6+sI+UhI/zRTIxIprm9hbp+6/FFtwTia3z2i0eTI0/s6R35dQm2f7OOrxQ/AkY9y31+7N7Vbu74tinve2aF15M12oIQISI/dgulVBZg9rjC3Ih4ASiYBVXNJpf/tb459IR+P4ssG1exbtUetBWCYUhtVj/1qd6pUitGJEPKC3GPkyLdvhSzL+HDj3qSnQtE4mnrIyfvv7w8s5N6w6MVQHHkAkr8Ns8eRi/D21vS5OiOSlf8Etr4CdO4a7j0BAFSZycm4DUWoLspMNXabSx0kuRE0bAeTCTTF7kxZvjjwOfKi2J1AIBDklJoiJyKSwTWq/lONkK/vVMWjKU4K35msdq2Q93CuoFk3OcCqtdsLVJGfiOrWIeOYGqkDiUQceroDEdR3qiKuwx/WXvPbjSvgjyg0Qp6F1msd+bXyNOW+N8wL+TSO/I7lJMUAADY+hyO7X1CeaveF8Z+PdmPRr99CNK79Xt/aTiZYNEK+YgZgHiHBzTNPIbdbX8WkMlLfobk3hFA0+fgY9cS1x/fG/WroPEup1YTW85NYcVHsTiAYGkY58m1b4QvH4JK42VbqGDf3qMvWDLBwBwuttwy1aj2gaUFXQHOqgpFRdoKUZfXzh0dGjn+5RIT8OUcerKn8OxRsNgfCMvkfeRBCVyA7OVGd/ghMTMhLWRbyFpEjLxAIBMOFySTB5eImVKvmkdv6TzRC/u3NLUrbL1OChtbrhXxBtXpfL+QZNg/XY95YyFehC5KuAFxPMIqj//CeZlmnP6KtPbR/rfF7jgQifuDtX5IwcWUZC61Xx4NbPEvRIKtFBP3hfjjysgw88hWSYtC+HXjmalzR8xeUgYxD2n1h/PKlTWj3RdAV0H7nQVofQSPkKw8Y5IfMAkzI71iOEltCqcbfOFYKM3M1K5CIYR8n5Os7A+ihbf/UYnephPzYypEXQl6Qe7hKsHsTVBy3bkaHLwIX1JmySIjMfrY37sJF5ndgRwTecAy+cP/dVRZa7/bXAz0NZOFgqtYDpDcpAPjbYKHVMKOjrSpsIgalEmt4+KMJApEYyuRuAEDluAkZ264kSfCD/H/dUgjdTMi3bgFevo7kNWaATn8EJokJ+SyfTvk+8iK0XiAQCHJOjYMTASf+itzWf4YIV2yrvjOADY29iCdkWGQiLswWh86R54W8QUqZ2QZYbGr+fJKQJ+MYqxRHmaxtMfarlzcpoobR6Y8AnZyQjwZGbsG7jc8DK+4Cdr6jLov6gZ5G9dpdNAE3e24FXwCtX6H1vKDb/KIS6cBMpG5OvOtT8oIgUZwRjZCf3e+PlXXGLQAKxgERH6S9K5Rq/KPOcEoFH3kSj2Jvp7aQ3/YWMqZV+8hL6uv4lIyYEPICwdDgQuvfTiwkdwLt6Ologhvqjy3gIz/KipW/w+3Wf+F0E5md5R36vojGEnAjiMmPHQHcPYe4/IN15D2qI2+hM33ZrIieMfavA5b/irR548PSRoCQ7/BFUIFuAIC9eFxGtx1gQh4hta/vP48FVv0bePabQ96+LMvoCuQwtF70kRcIBIJhZUft2diaGI83ptwITDyUCG5/K4qCDZr1/vvpHvgjMVhBxKXZlsaRNxk48qyWUB+h9QBgl1QBu3xzC55e3QBJAn5+2mzMqyXXinZfBOjQpdPFRoBT27sf+Phe1XEH1LZuPG3bgL8dAjx6HnlstmF3OxFy0yrJd+VLFVrPt+Xjhfyu99TVQUTipiY1UlFv0wRlIuSj8gh15E0mYMbJ5P7W10hxQ2hrJQyJeIyMJw1SOXIC9xuIRkPY303G8hNKyaRNq5f8JpTQejMdk0V0lfuFIy8QDBEutH6rPB71CRIaFWnajBJJFZeBAHHkXd3bAQCVUjeAAQr5RAK1Uju3IDCEHHkq5H2tqI014CrzK0hER1Cujb8D2PV+Ui9ZvPtb4MM7gTuna09oI0LIh1EukQunxCZKMkSAXnSdUlgNrWf5chko9NMbiiEal2FSit1l+XQqQusFAoFgWCmursNJkTvwsvUkEtVXczAAoM5Pelyfv3A8AOD5dfvxt3d3wgYiPiw2BzTSMF2OPKAaHuw5vfiIGY+Dbnx2PQDgqiMm46ojp+Aw2t98X2cA6NihXZkvoLfmYVIEN9fjgv9dDrz5c2D9/9RlPQ3J6214WpMOGDfbyeQEgLk1pCaOzyi0Xo5rv7sIV6B478fq6nTCZTWXvinppHwAdhwzswJnHDxJXVgxK+3HyzlceD3LEedbsw2JN24E7j8aeOfXmdneQOEiSFq6fIgnZNgtJsyuJv//DlpkUil2xxx5IeQFggzDOfJdplJsl8mFD21bFFEHAKGAF5BlFNCZbo9ERFhz7wCEfFyGHdxMdsQ3+Kr1Smh9O36459v4ufVRLNj5t4FtI5u8/APg4TOBvR9pl3ftVu+3blLvjwAh393dCZdEJ0PcGRby1JF3IaQJlwOQOidxALBewR4rvVhkW8jL3Ky6cOQFAoEg51QXUfePjUMmHgIAmBIiAvrQqWWYV1uESCyBv7+/EzYqECWLXRsRZ+HC6Q2FfKH2uRQ58npavWGUuKz48YkzAQCTy0kq4842nza0HoDMF4J78XukCO7yXxluNyvUf6rmwfta1eU9+5LXlbWuclgm30tVoR1VheRarwmtt7lVV/6Tv6jLeSHP1RZgQp65/EBy1/Ig7Dhrfg1m1tA2yDYPUJS5lMCMQCvoI9gFOxXykUw58ivvJ7cr7srM9gYK58g3dJCaBpPL3agoIKZNG53YYWkuSo68EPICQYbhnPD9rlnYLtcCADZ+sRKlUIV8OOBFwtcOR4JcbErN5MLZ0k8hn0jIiCdkFEq8C+0bvCPPhda7EuRiMLXt7YFtI5uwWey2LdrlfNhed716fwQUuwt0NgEAgpLTuJvBEKgqKwUAuBFOLnZnlJM4QJiQL3bS8K1sh9aXTQMmHQ7MPmPg9R0EAoFAMGRKXOR6qkwOTzwUADA9tAEAqZR9+eF1yvp2ia5ntqcWfUbXIxZab9IJ+ViEFGlLU3l7crlbKRw7pYJsp7m1DfC3AQCitA96V4/BGGDTC8nLssVH96j3+fGIkSOvY30r+fyTy91KUTeNI2+2AodeS1d+Rl2uF3UUFlqfjqBsx9QKjzq5UjGLhLOPJNi4NhZWhHzGQuuHG24yq7GDGFFTKzxKqz/myLPaWEof+ajuf55iEmy0MsKOQEHe8IMvge98BmthFbYniCM/XWpUKpgDQCjow8aNXyqP55aTw7Wpp395XVFasb4I3I844h18jryLOvLcrKAn3DywbWSDRBx473a1Cq1X3SdZlhEO8BdIbqZ7BDjy4W6yr35Laca3Pa6CzJqT0PrsOfIlTMhn25E3mYDLXwUufCS77yMQCAQCQ0pcRHR3ssnhCUsAALXxBrxs+xlsZhNOO1Ct9+IyU4FosQMLLwMWXQF89SntRk0G7cvsuhx55iK+eRPwl0XA1tdT7mNtiVpZf0oFceTtvSQyr00uQgeI29/UYdAFyNesdAzKKm3bSAQAgznliQTQ22j8Gu4ayxz5yeUeuI2EPABMO57c8pEHYR+MYI58OgKwk4mRCUtIvYO55/b5mpzDxrWxEGy0KHPGhfxAx86DxBeOIRiJo90XRmN3EDIn5Pd3kHHt1Ao3KjzkN9JBHfmoUuwulSOvGw+OcoSQFwwPJZOAylk4ZmYFdoA48vNNO+CW1JmyaDCAHVtVIV9MHfnmnv7NprFZuSLekQ90QslTG6iraXUAdm1Is1nObdGPd7e04rg/vodPd3WoC3e/D7z3O/UxJ+TvfmsbvF51ckTryA+DkA90AvcfQ4rbAEjQfQ3ayzL/XjSsjoTWZ8ORJ8dhiYMJ+Sw78gKBQCAYVkrc5NrRHYiQFnOuUqB8BgBgrmkP7KYE7BYzbj2DFEGbV03HGWYbGUOcfjcw4yTtRtM58qxHOQsDb1xDblM48lbEUFOsjm3K3DYUOiyYLNFrbUEdZCrEmtu7EIsn8Ohne5GwcG31chGt9zF149l1k41H/G3Goc8zTgYKa5WHYRAhP6XcDY+DfEes2JmCImq55RFjIW+RtGO5A8YVJq3j9hQS93/cQcD1u4FDv2O4rWFFiTSV4bKQsW7GQuuT3iN7fL6nE/NufQOzb3kdi379Ng6//R289oVqRDV3keNlZlEM81ufhwshtPvCSCRkxBIyTEjA0bWNTAwlCXnhyAsEGeOHy2bg6ZsvAwCNiAeAaMiPnv1qcRaPTGZV+xtazypXahx5fqZ3MLOKLE+eJ0cVPAORGG549kvsavPjtfVN6hPt2zXryd4WslsJGfe8s0PT0m/YhfzKf5LIgTd/DgCQ/CQvLuKsSPeqwWEjAxMnwgY58kMX8h3UkS9y0oFWtkPrBQKBQDCssND6aFyGn7X14hx2VkH+ssMnY90tJ2Ccmw6z04mftMXudI58Krea8rH9Wkx2q9c7SZLw7WOm4ehyIs4nTpsHEy0E19bdg398sAs3PbdBcTEBAEEDpz7TbHuD3M45h9yy8UivQVj9KXcAFzys5rxDbQE3udyNAurIr9zdicc+48Y4rOAdX51fJ+RlmglPahkQ4euymTGrugB6KkuL1QeSPoN+hMCNaz1mcixmrNidwXtkizc3NifVbW7sUCeYWrq9kJDAKW8ei3lrf4ELzO+hwx9RWs/92PIUiv5zJKmPIHLkBYLsYnUWAkUTk5a3dnaS/u8Ulivf1M+q9UpoPe/Is76k5TMHN6toVFk9Qz3J++L+D3ahpZeIck2oeKe2pcyOXdvhD8fwyvommJBQi8kBwy/k+Zl+WYY5QDoKyK4sCHkrCSl0SUY58kMPre9SQuvpaXSkXtgFAoFAkBGcVrMSssuuAShWxy8OSb3WFLtsas/qdJPHRtcj1t2Hz5GPRzURd0ZUSL04qOddzbJvHzMV59XRcUDZVJjoJPfe5g78/b2dAGRYZO4aqRfyG58HNj6X9n0HDHPJWdV3FvJulB8/YQkZr9ncyqIwyPc5ucKNpVPKcOB4Ei150/Pr8bf3dpBoCSY4oyEgGkTXQ19F9NP71e1KZkTLSFHAb1texBr7tzBNasD0Sg8Kncn/E5auN6LhxrWKkI+OPkf+ywYSSXrz6QfgwcsXAwDCEXUsGwiGcLTpS5iou36AtBd7O/w48y8rAADftbxIVnzr5mQhL/rICwRZoGJm0qLVOxox0aRWMrXFyYm+wx/uV6gQC60vNnGzsTuWk9u6Iwa3n24DwZmD2evmnhD+8b4q2LsCEexq88EbiiYJ+eJ4J6548HPc+Ox6OKELIeInHYZDyPNiN9gFR5gIeVNBVYoXDAEbC63PriNfaBeh9QKBQJAPSJKUXPDOZEaUOsR2fa41C+NNd80x6iNvp0Ker1rvbUJyd/Nkqu0GocMdtGJ92VTYnEQQ17d0whuOwYI4zODGVKFu9X4sAjx7NfD0lUCQWz5UWK0hVwm5ZZP8RkKeterjhTzNkZ9Q4kKp24YXvns4rjh8MmQZuOP1rfje42sRpOsgFsQnT/4eJbtfgbV1vboLdUcibiMTAEtNW1Aq+XCj5XHMqCpAgcOS1H5ufGXma/lkHElSJjBcNDokEh9dOfKJhIwNjUTIHz6tDGVuMnEQiagC3Io45jnVFNO4rQAJGdjWYpA6IRx5gSAHVCb34rTLYUySVCFvinhhM5sgy0Crt29XnoXWF2uq1tOLxeQjB7efRkI+1JO8LMN88PQ9+BP+gHIbufh9trsTx/3xfVz4j0+Bzt2adcvQi1W72+ALx7CgWj944C5Mw1G1np/06G2EO0pOxJaicSleMASoI+9kVev5WdiGz4EP/6jtoztAlKr1jhxVrRcIBALBsJNU8A5qzrYd+n7v/eiSk7bYHRWjiSjQkz6sXtk/k0FBYNZ6rnQqCjxk2w66rzbd5EPEy9XgiQaI8JHj6mRAJmAFx5xUyEfSOPJs3MUJ+QMmVODpaw5VoiMkScItZxyAX589FxaThJe/bMIlD6s1lhq2rNZs8uX4IVh3xN8Rk7TfvRUxzKwugMdugYkbLyVkCXXVBqmVIxF6rLlGqSNf3xmAPxKH3WLCtAoPiunEWYRz5C2IYbJLPc7PO7AML3/vCDx0xRL86cL53L461GOLjgmFkBcIssH4JUmLiiU/qqVO5bEU9qKykJxA+pMnH0sYCHnGpEE68kah9TkQ8osaH8VJ5lX4+SwSVsciErY0dSOmE/ImScY35rnw2FVL8fDX56Te6HA48lyvWLmnEUVx8v91llRn/r2oI3+2+SMUxLoQ9OsmLpbfRsKuBkmn4siz0HpxOhUIBIKxDhPyfBHVsEyW2WSdSIj3I7TeyGW3GeTIG+XHc3njCvyYJOwjRWbZJHrpFCVH3iFF4LSakyYfvN1t3AMulL9jBzKCLKuOvJO63Gw8YtRDnk1mcJ91fGUJFtUlO+RfP2QSHr1qKUrdNqxrVoUf3xEJAHbK47DPm4A/qk2Ji8OE6VUFKHBYYeKiFIKwYWplct78iIQ58ibyHWckRz7OTfZk2pHf/BLwwMlA114AQDttI1dd5IDFbFIKTJoS6j5YEcd4m9qNwJoIYW5tEY6eUYGz53IpEBa72rWATRoJIS8QZIHpJyQtOsW2jtxRcsQimFBIDlnfvk3A3XOBVf9JuclIjFwcC6ET8hWzAM8gc7KNit3xYWhZwiWTzzDZpg3jr5E6YJGT26bcekwpDptWDlOMnMD8ssEM6nAIeW5QEOlqQCnIxbWgvCbz70Uv+k4pgkdtv0FPb3fyOns/HvTmWauTQgcT8sKRFwgEgrFOiZuMSZQceQAh6sjb9I48Ew3pXEzZwDFlofXMrY/HjN3q0inJy2i/eOz+APh9HfD0FeRxQQ2Z4KZC/pAJTjz33cNghzb1LNhLHfm1jwB/W6o+kSkhzxcIdjEhn8aRZ3COvNWWWkwunVKGF689HA67HXGZCPXpTm3IdUB2YEerD526LARZMmNOTSE8DosmUiEEO6oLc9N2bcjQY81JhXxGqtbzRQIzLeSf/DpQ/wnwynUAuNa+dMLMbTPDapZggXrcWBFDpZnbpygXhcJPeMVjwDbaqrGItLoWfeQFgmxgdQJHXAdIJkQnk96f0xJ7yHOLr1JWm+QmJ6RZn/+MzNy+/EP0BI17QrIqrNXo0D4x2Px4AHAPjyPvohX7K+JtmuUTpRbjF/jocpob1CoXI2p2atcZFkde3d9Qez0q0A0AcBRnQchzF/2ZpgZ4jYT8EAoVsgJ6wpEXCASC/KHQQUS7N0SEnizLCNF87CRHvj/F7vTluYH+O/Klk5OXeWlXm4fOIM73Llr8rmwquaVC7IwDSjCjsgAOSTuGCrPQ+v3rtNvtzFBofYJ7P+aSxoIk3D6NkI9b1Wu6pSC9GTO+xIV544sRokXxxsW1350fDry2oRlNXq0RsmhyOco9dhQ4LJre8lGzEybTKCloayFjPafEqtZnQMjnYrwYIMcdG1uxWhSSJKHYZYNFUv8fFsRRDG7szQt5vqhz1A80rwccxcDpdwHnPwic9JtsfYJhQYw8BSOH428BbmqGdfKh6rJJRwAn/kq5qE1wkQuAPaiGaP/tXeNZYnPXTuxxfBVlVCwqDEnID0OOvCzDDSLkC8NNMHMXk2/PS/EabzOZ9X75RwCAIBzwWnQVV+Ph3M5MBjpVpwCA3LoRNta71ShlYajoQg4DXoOaAMHOQeXJh6JxBGjroQIm5E3idCoQCARjHTvNy2ZFxKJxWamibk3oHfl+5MgbOvIGOfJGE89GjnxPIxAyuN6xdVlbtmgIJpOEErv2/WN+GvmnF2+ZcuTjBkIeICLe35a8PiVqUp1gW+W0Pt9mcrlbEfLmuPY676eOvC+mvW4X0nmTArtWyCcsOiNkJMMceSmDofW8Ix83Ns8yBevKxELqASLqrZwjb5HicMdSCHmj9IxltwJVc0i7w8lHZXqXhxUx8hSMHCSJnIBcNHy9aCJwwUPkQlZSBwCYk9gGALDE1HB51qZCT9nGB43fZ7D58YAaBsaTyUquRkQDMNMcOpt/P4q5tijV8Sbj13ibSThR6yYAQAB2dJsNWqeEDSp8ZotXf6oZsDjaSPVYn+TOTvEUzpEHgHBPiu/Kl76djxGsYr3VLMFloRMrIrReIBAIxjwOKznXh6JEWETiCaXYnSWlIz/I0HrmyMsJrdPIKJ2avMy7H2j6Inl5GRW/LDQ6RsRtiVX3/iyfXtdzHR07jaMHBgqX6wyrS92fe+bTZdy1mwvjDkvqfUuZwefWMaXCo/xf9DSjFBcumoDZ43XjIjoBUlfqgEVSvxfWsm9UQL8zFmmRkdB6fqyYSBby7b4wPtvVkbR8MLCUlVKXKuRrHWGcZvpUeewyx2EJqTW0lDx4AOjWCfnaRcDBl2Zk30YiQsgLRh7zzgNO/DVw2UtqTvqMk8hND+kRaU+oQn5iqfEJVk4YzEIOJT8eUAuz8GTZkZe5mXWLt0E7SxlOUcXW16xpuVGAADqkkuT1clW5fvNLwIanSfj5sl8CABxBEmbfa85SSxedkLd0bjderzeFwE9DJ82PL3XbILFBmAitFwgEgjEPc+RZyHKXP4IQLXZnlXVRboojny603kBo2XQ58gDQtSd5vfLpxtvc8VbyMiZ+FUeeuJjFNu37W0LMkdeNDyI+TXrcoFEcXYl0e7HrisgVjQeO/DG5f9pdyuJomHNdSyb1+TZfP2QibHbj8WHt7EPx+/MOxIxxunER/czlTm0YfUFBUZ/vN2KgxgjrSpCR0PoIF51h4Mj//LkNuPD+T/HKlwMfTynQSSIlR54b697UcysmmtRojXFuE6QgJ+RjXMQF78g7S4Ez/jSmIybH7icTjF7sBcBh31NceADAjJMBAJXtnwKQNSE2vkhysTcAsPm4XKsZJwOLrwZO+f3Q9s1pIIazLOQjAXX7pkA75laqJ7cCv8EMPQB4WzQntmlSI1rl4uT1cpH3FOwCXiZFTHD4D4DZZ2ieDtiy1NJF5/JP3vu08XreQQj5AFeMRabHomg/JxAIBGMeO3XkWVuv21/foji/pjgn5De/rF6HB+rIs7EGn1tvNPFeuwhYek3y8m1vJi8rmkBumZCn+1akc+Qd0RSh9UBmWtAxR5elDRTqauS4yoDjbgZ+tAlY8DVlscxHz/Ujis9uMaO8pNjwuZMWzqD7oJtgCfUADauAV36sWez2jJKK9YDiyNuRwRx5vnVwInnMvbeTOOL3vb8DcpqojYc+3oPfvbYZiUTqdZTQes6RnxbaqFnnwJKI9ndj5Mh/5V/AT7YB1alyUMcGQsgLRgfV8wBIsIS7UQbtxawnYJyv4/ARkbvTMg0462/AaXcCU44Z2n6YDfq9MiHvawNe/D6wf+3Q3kNHxK+dKPjGAWwfZNi8KYR8b6Mm5N8syWiKG8wo50LIb3oR8LeSsL6jbwAKtD3jIw6DkP9MoBs4lYQM8qaAwQl5PxmslXls6sVEhNYLBALBmEd15Mkk7me7OtQQbt4ZfFIVoWkdeR5HMXDibwA3vS6ajUPDAZBrjsVmbFC0bU5exlIDLVpHvtBKPodPJgKwMEadTqPUO6M8+YgfaNmUej/1MEeXRRvo8/xDPSTVsqhW+9YlCwAAMQzgWmtQYT3kmYhls2ldHpPu+/W3A4+cC6x7VLvcqM3fSMVKPjProJCR0Ho+clHvyO9fB4l2b9rQ2ItPd3XCCFmW8YsXN+If7+/C8i2tyStIJAqCFbsrdac+9g/16CJDjHLkiyek//2MEYSQF4wOrE6geCIAYK5pj+ap7qBBT8hEHC4f+THfVXqLelHMBqz93AvfBdY8BDx4ekY3Hw1ohfzBRT5cdlgdfrCkEFI0YBzS3bIR6FL7y/84cg32RQuT18uFkN/5Drmddz65wNhcmsiGuGsIqQ7pqJwFHH0DIg7i+G82TQfO+UfyeoMQ8h1KaL1dbaUjQusFAoFgzGNXcuQTCEXjaPdFlKJqKYunpnPkF19FOuIs+Sbwf3uAw65VnzOZU19bBlpbhl13qdDDxmeBfZ9DolEEjTK5VhbAj3gklMKRNxDyD50J3HcosOPt/u0Hc3SZiNbn+bM2YTp2jTsdP4p8Gz8o/3f/3gdQow8A4NBrgaOuh+OqVyBR0Zgk9OJh45bCulS9EY3iyLPQ+gwUu+MLLfI58ntWAPcfjb8Eb1AWXfnQ5/j1y5vgC2ude/7xe1sNhDylS9d+zgiJ1YBgk0BMyCfiancHFoEyxhEjT8HogeaCHefYqlns9QeT1+1pgEmOISxbMaEuRQ5ZpvA2k9ye7W+Qx/oCMUMkFtBGIEg9Dbj1zDn40UI6m60/WVUeQMK9Nz5Pdm/pdXgmcRT2hD3JG8+2kE8kgF3vkftTjwNACgR5bWqVetlTlb33P/ZGdH9rLc4K34Yzgr9AuGJu8jqDyJHf20HCuKoK7CK0XiAQCPII3pFv6iHCPW6iooM58nyNnnHztYJSj7sc+PFW4NQ/KK6kBt41dhSr942EvL0wtXvMlvPF5J66BO4wEVWtcjEiMrmOtTfvMx7LGIXWN64it+ufMX5fPczRNRs48qVTgVNuN3xZVziB5xJHIlI4AIHGO/ITlgDH3aSYQmQfDMSi3cD0SPf/G2nQ48JmlCMfj5Ko0cQAXXovJ+TjnED/4nEAwBSoqayBSBz/WrEbv32ViwrxtkB6+YeYLpH1Pk1TGI+1lC5OI+QVA2b8YnLLhPwXj5OJInsRUFDdx4caGwghLxg9lJOcpnMqtC1YosHki42viRQ2q5crcfbBxrO7mSAOE2lhNghXt7/E9Dn4LGyokzru+rC0maeQW1oIxF5IHO+mRHHyxrNd7K5rN5ndtjiAmoMBAI9+Vo8POtUwf2thFoU8gIriAuxxzEZMNqG+x6CegnfgVetX7SX5YgdPKlGr+BoNwAQCgUAwpuCL3e3vJgLCwqqaMyHP5xRf9Xbf14d0xbh4sckqzwNaQc6w2JVrbRJsH6YcDYxfQu579+Nq//0AgHl1VegyEde+vWmvVsizqAB9L3l+wkKf654KvSPv4iImv/OpcUs9GFcz7xN+soOvu8QwCr0+6y9JKYCjKrSeTl5YZYOq9e/8Crj/GOCh0wcm5nlHPs5Fweq6Nh04Xh3bPfZZPfa006LLH9wBz4ZHcIX5NQBAfWcgOU+ejqVYNwintR/mCBPyiShJb33rFvL46J/mjbkihLxg9EAd+cKO9ZrF8bAfUdrPFT2NwD+PR+jN2wAAHbYazKo2mF3NEPUmOkmQ4bx4nkRQJ7Z76Mwnq2BbUqde3O1FwMzTNKvbPGUoc9vQIicX6uvuNs5lyhhtW8htxUxl9n1vhx8bE3XKKvbicQYvzBySJGFmFSlUs7OTuwAV0Vl5736DV6WmNxTFlmbyP1k0qYQLrc+Pi4ZAIBDkM3YLLXYXS6Cxiwh5q4M6tvvXAeufVvuhO4qHnqfL1+bh264VGlw7TVZg/KL02/NUAle9BXzzfY3bX1xQAL+F5NH7m3VdXlj4e+curXjnBZ67n4Vr9cXuphxNOgrNOSdtLYFOf3J/8T7hnfS+hPzc84BvPAcccJbSKUndzmgU8gaOfBtp4Yy9HwFNAxi3pgqt1xlNf75oAS5aPAETSsn3/uDHe4hA30oEfKFEhH00LqPVq+vwwDZJ99du7YdE5Y/1N34GBDrIsWRUAHKMIoS8YPRQRkPkY9pQepcURi8NxcFbNwONq1DeTfJnnNXZDavfKtGZ480vqQv7OuHHjE9eqUiESPi7koPHHHl2AnWVAV99Cph7LnD5q0DNAsDDhRQ5i/HwlUtwzEHTEZa1A4rPt+4d0L4MGNrHHhWzlUW9wSg2ypOVx67Sfs7iD4HpVSStYGcH992X1tEdahpQb9w1e7sgy8CkMhcqPTbgwz+SJ/Jk9lcgEAjyGQcVGKFoHI3UkXc46XV/+xvAM1cCH9xJHvdX3KYjlSNfWGuwroWEkPeHmvnAsT9TH1scCNOaMol2XS586RSyH/GItr0X3xLPoJq5ISw0mxW7szqJE3/+g2lfxoqglQ1EyLPQemcp4DAo+MunLdQdrqQA4tifA26ufs8o7CNvTZDxTjjKTbzI3P1AP42cREIbdcqH1nNC3m2OYnK5G7efeyBuOX0OAOCD7W1A0zolb90DtYZEYzdXaZ4SiycQp069w9LHmMpsA6rmAqCRJuufIren3pkXRe4YQsgLRg80tF6PC2F0MyHfuVvz3KTpBjnRQ4UTyVtBBem2N9TnowHDPpsAgMY1wO8mAO/f0e+3k2n4e72Z9k1lrTVYn3ibm8zSn/cAUD2XhOjNPFndgLMEc2qK8OeLD4aZhrH3ymS21N/Lhf9lg1aaI1WpCnlvKKZx5MuqDAYjGWZmNXHkt7VxQr6Yfp+xYPoWgomEJkxy1R5yf9GkUmDba0A7rdkgit0JBALBmId35FlovdOpC3PfQNudujIg5HmxyYede9RaM4ronH4iaUmXtA2DjjsAMOdszToJN9mmrUc7loLVobz3qtUr1eW8kO+vSaF35IF+paZ1GPQX7xPmyJdONn6enySxcS3mPBXAdVvUCMdRWOzOQh15bziGRDQC/PskYDvXljDYz/Gfv007ScM78tw2Kq1qxGNNMdkHbygGbHlVWe6SVCHf0KWrbyVJihsP9MORr5hFjiG+DsK8C4DJR6Z/3RhDjDwFowdPJQkd1+FECNEvnwH+OBvYv0bzXHHtzMzvx0WPIVI4Cd+K/BCb5DqyLKib2dTlDSm8dj2pivrub/r9dhItSNdgpe/V20jEJctfsxkUsZt5qnqfqxBvKSKhePYiIuhrQjsQifZzFn0wsMI43CRMbyiKdhRh+7QrIC+6Etbi7Av56ZXkAr2lnasobPOoM/Tpahy89D3gjinKpMTne8j/enFdiXYCR4TWCwQCwZiHCYxwLI79PUSMuN0G12EgQ448J3j50Ho+t/yq5cBJvwOW/RIoqCJFb8GJ41RCvrhOvd/bCAud7C8M6Frbmu2IF5JUwqfeXYmPd7aT5bw7z+dOMyIB4G+HAU9fqRocSvu5gbmmSo58mrZkSTCRZxRWD2jTFuye5OcWXU5c+hknY9RA6wIUWOJw2czwhmLYu/oNYN+n2vX6K+RZFXh2PLH/X0+DZuxUZVMncjx28r0GwjFgqyrk3VDXYdEsPHz0AKtFkTKXv4oadXyU7om/SvdJxiRCyAtGD5Kk5MnzuKQwZn34feNc5xRFU4bE+IWo//pHeCOxBJvkScbrpDpBRpNPXH0hRYiQb7VNJK5vPEJmSHlHXs/ko8kMvb1QW7lzwlIAEmxHX4ewbMUS0xa0rnpuwPtkSLA7ue8sm2xwFiuLvCEycdCy9CZIp9+VkyJxM2ho/Z4ubiZZMgEFNKy/N02e/NpHSK/4D+6ELMtYt68bALBoUjGw/a3s7LBAIBAIRiRKsbtoAvu7yeSwx8OJQD6EO9NCnh/T8EK+ZBJw6HdUMfr1Z4Fvvqc+n0o080X2OnYqqW7VsUbtemYbeizks1SiG396m+bQs1oAgLEj37oJaN1IIhReu56ksTF315xiciEFnf1oS5bE+EVkkn3q8cbPaxx5g8mY6SeQvPkULfFGJDQKwRzsxJuOG/B7y/1Yu89gTNpfIc/Eegkd78pxMkHzxFc1Tn25VTVKXDbyvy2JNgEtG5Tlbqhj4CRHHmp+vM1iUlsERpND8AEAVXO0jyvn5E2leh4h5AWjCwMh7+ZybpJgBc0yjIVe/LoSLjVEmyfVCdJoxroPTFQMh21FaiXVnn3qyc0od8vqIJVyr1oO2LlwsRN/Dfx0J6SFl+JT5xFkUw2bk18/UGJh4C+LgLsOAJq+VJeziQuu4AyrZ1DgGNhFfCiUeewo99gQBfeeJpNaLOiRrwDvGbe8UYj4EY3LSuGYqtAu7eRRtlv5CQQCgWDYcdBq2kEuR76ogLvOzjgZmH0GuZ8JM4GJTVuBdpLAVZr6NYXjSA48c6TT5c2zcdL4hSisIILVA514stjQKpP3rpK68MW+bsTiCa2QN3Tkucn9VQ8An97Xb0e+uSeE9Q09eOXLJny6q0PJkS8dSGj9AWcBP2sEFnzN+HleyOsd+dEKi8Lc8RbGR3bjQst7+HyfQSvBfjvydJzDt+17/hqg6QvAVYaolXxvZRZ1LM4c+RNMq8kCmvrhkkIYX0LGg41dQW19IllWHHmHhZOnfQl5Vrl+2S/693nGGELIC0YXBkJ+nmm3wYqUAc749heLmcwURuIJYNxBySv0R8jH+xfSbqYXwpjVo/aM79mXPrQeIKFkFbq6ApIEuOksPj2xhnvb+7UfAIDNL5P2HvpQJ38b+Qv3AK/+VF1OT8DeuE1pgcIc+UJnbouRzKgqQII/5UkmbYuZ936X/CI+giLiQ4K76Nh2v61dN12evUAgEAjGBMyR94ZiiMQSkCSg0MNFxo1fDJzzD+DcfwOLrhz6G7Kw+CKahjb1OFKrZ/qJfb/2quXAoiuAs/+Wep3LXwWOuh445Q4UlqcoPmu2oT5ChHyl1I1wLIH73tsJ2c+NH4wceRY5yET7mz8HfLTlax8FyU6/dwXO+MsKfPexNbjo/k8RiBCRN6AceSB9D3g+5YDPkR/NOIqTFu1mbeA4or7Uvdw1sNB63rTa9AKJdDj/IfQWknHmL3t+rtSpclhNMEmckJ97LgBS7G5ODekk1dgVIMcDRyjKKtZzqYqphHz1PHJ7wX+Bq95J7jSQJwy7kP/rX/+Kuro6OBwOLF26FCtXrky57saNG3Huueeirq4OkiThT3/605C3KRhlGBS8O8y0Mee7YTWTn04sngDGHZi8QsrQei56QJ9XnwJLjAj2uLVADe/avxbopjlsgyzCYqYhf3HfAIT8Kz8GPvoz0PyFdnmEu0g0rFQ/PxXCp963Ctc9tQ7xhAxvmAj5XDryABHyGvRC3ghfq3rf344Y1/fUulMIeYFAIMg37Lpq2pUFdljGLyTu96zTgYWXkevyvPMy4/Iy15hVqf/aM8AP12uj7VJRPRc4/e70IcfFE4DjbgI8lZA8VYarvLmpBe80EAOjSiLX9z++tQ3+rmZ1pVX/JpP9PGxsMOkwwF1JwrLZ2CVV3j5I/YF2X/LEQHWhAwX2DI4d+MmE/nyfowEulZFRguSIwUBPP8d+zJEv0UWfnnw7mksXozvOTZTQLj6SJGGcPYQlJtqCeN4FZNekCOaNI7+Jad0rgE/+otlkOEYma+y8Ix8xEPKeKjVtpXAcMH5h/z7LGGRYhfyTTz6J6667Dr/4xS+wZs0aHHTQQTjppJPQ2tpquH4gEMCUKVNw++23o7ra+KQ00G0KRhllnCNPw4fmm0hBtXjVPKyf+f2c7IbFRC5oCRlIVHFCnrnjRkI+HtOGofn7dxJlQl62edTKqx/9WX2PQQp5RxFx5M2hfrYgCXSqM+mpcuEBkk++813i2sfIxIUvYcPLXzZhc1OvstrwC3lz3/lUvhb1ftcexOlFphA+SA26CUIh5AUCgWDMo6+mXVPsJNFv/7cXuOjRzLe+YttjjrzJlLbf+pDgK+FzNHQFsdlPxho15m5luRTQubpP6kLYmZC3F6hjlRAdB6T5nuo7tOLtV2fNwZPfPARPfetQNXc6E/DV2MdKaL2BI18m9SYtk/vbfk4JrdcK+Zcdp+GoO95FZyc3ruXGvsssX8AiJRAsmUkmlCiLa0gxvpKE7v0lSXHkHRpH3qC2VM2C/u17HjCsQv6uu+7C1VdfjcsvvxwHHHAA/v73v8PlcuGBBx4wXH/x4sX4wx/+gIsuugh2uz0j2xSMMkonq9XBK7WFLvbN/Q7+az0Pv4x+gyzooyfpULCY1Z9OtJJrcVdBq+QbCXl/q7aHZ9sW4KlLge2cs7tnBZnR5ELXbTFyIZTtBcDEQ5K3myq0vg/cxWTm3RbpZ55U+zb1vj6ELqIL23rrFk012yDI7/WBFSTsym4xJbka2WZSma6WgMkMFPbRw54X8rEgEl4ykXGsaR0kOU7anzDCQsgLBALBWEff37qmmDqSVofB2hmACd7CHBRcs3kQMSV/jsnlLlx+8qEAgAr0QEICZsThjicLRA1sbGB1kT9AnfRO48jvbNOaBfPGF2PplDJM1F/Hhwo/lrFmeNvDhYEjXyElj0+kUDf2tPvx/ra2pOc0MCGvGy9974l1iMQTmCpxtYJa1AjZqSYyfuopPxgJyYqoTH43EwoSqCywI2k6RpaNHfmobnxZuwg4uY+aRnnEsAn5SCSC1atXY9myZerOmExYtmwZPvnkk5xuMxwOo7e3V/MnGKFY7EDd4US8TjtO89QW83Ss2tOF/8RPwQfnrATmnJO13bBxQj7mqgIqZpOLQC0N7zEKm9dXRn/t/4BNzwOPnqsue/A0YPltwBY1PM0WJycxi7OIVp3X78zgHPnicuJGu2M9kPmCI6lo26Lej+kKDLKLddk0UtynZx/w6PnK02GQgciza0muVa7z4wGgtliXJyeZkh15vavOC3kA6NyJSnTh59ZHyeNZp2d2JwUCgUAworGaJU2zlaRrS6Zhxcv41nPZQpIQspUlLT52RgXOPmIBAAmSHMP6ny5EucmggJoevruOTS/kU48DNjVpQ8FZ55mMwwv5HHTQyQl8QUTKZEdyeLo10oNj7nwPlz6wEmvrUxg6smwo5AOyHbIMHDm9HK/EOYOpazeJ3gTgNBNDKgI7OgJR+EEmiCpsUdSWOGGCrtaSHO+fI3/qHWp0qmD4hHx7ezvi8TiqqrT5OFVVVWhubk7xquxs83e/+x2KioqUvwkTJgzq/QU54uvPAtdt0hSZa5GL8WGzHbtoQY+Dpmeh7RwHK3YHALG4DFz5BvD9tUAJPbkYOfJKL06Kn0v30AtpeuKMR0KwyKTC67yp40l42gSdKz9IIV9aSfLDi+FFdyDax9oA2jhHfsPTgJf7TbGLdWEtcNHjpGhM+1YAQMzkgKw71RTmOKweAMYVO7TXaclECgbx3D4R6NipPvZpU3Kkzl2413Yvmd2unAMceV32dlggEAgEIw5JkjSOYU1Rlpx4xrJbgdPuwv+3d+fhUVX3/8Dfd/ZMkpksZCELCQHZZRUQtKAISFs36lep1KJWpSDUhWqVVkX8tUKroBXtV+uCu1R9rNj6VVsR3MAFCLKvgiBkY8kKmUlmzu+Pe+/MvTOTEJLMZG7yfj1PniQzd+69cwJn7ud+zvkc9L8susdR+JyRhtcLeWSAMi85qeEYxmQ3sb63VqAob2Kw6JxHHVof+Trg4LGTeObT7+SXWUx44NIBgeXM2l0rVhKKe2Zr2EjNyYXhIyAdjdWQlGD66Jb/AM9N1mXUAQD1lcF12pODgXwdHLhzch+89KtRGHHjYzg24REgQVlF4UgxACDBLGfXPcKE0qr6QCBv3fshCt1mSAi57vU1NjFHXrm+TMwArvlHMGFGAOKg2F08mD9/PqqqqgJfhw4dOv2LqOOYrfIdR83Scpv9vbBqpzw8qLvbAbczuhlfdY48ADT4/fL5JGcH75xHDOSbWau8plQ377zMa8Wzn32Hmc9+HHhseG/lBtO0V/SvbeVwMLtL/rB2ow6Hj7dg6TRtRn7bP4GnxwV/11bQz+wHTAlWgG80h1/k9MqI/Vw0u8WMzGTNlJykLHnO4fl36Df8UlPdN6QWgHPTcow27USdsAPTXpYvTtQpHtbW3VAhIiJj0WYMc6KdkU8tBEbeGL158SHMrggF79Rkg3rzu6YUY7ObGMnXqAmOAxn5pOBnpDpHvomM/L+3HMGpBh8K051Yf+9EXH9eFLOvZ18lX7cNuvL02xpJyDx5hye8Qr0JfiQpyzdP+mYmcOgr4B/XApCLzh2pPIXXP/oSAHDKmoJXNgRHKApbEuZOOAuSJGFAz3ykj7tZXk0BAA5vBAAkmOSbBB5hRknVKTQI5WbMf+/H7WW/hykskPfCEykjr/4b6j4U6DvljJqhK+iwQL5bt24wm80oK9MPXS0rK2uykF209mm32+FyuXRfZADu4HyxfaI7SqvlDik/NfrznCRJCgTzjT5NZ9RsIH84/DFVxU5dhn7xB3vwx/d2YM8hOevtNSXAalU+9JIygJ7jg681tXKuuSMFfkgwSQIV5S0YBVOxS/+7dti5dvgcAGQOCDzVoMy365cdLDZ34/kdMywqNyUBt3rnYmvmZcDQ6fKDE+7Tb6QN3tU70cpQNdvRrQCANzEpOMzxmtfli4FfvR/NUyciojihy8hHO5CPMUdqpNVclOuc5GAgPyStiSV0tcuFqT/bnMGh9R59sbudpdX46rtgoLn1sDz0/uejesDliPI0PGca8Nvd8lKBnUnoPPk6/Tz4U0K+KeSWQqZHnPgeADDn1WKMXfwxPlwnB+X7PW7c+87WwGYuV8j+ASB3uPz9iPwah0nOrtf7zfjyu+MoNAWvGfOri5GCkGP7GyJn5JXRnWFV8wlABwbyNpsNI0aMwKpVqwKP+f1+rFq1CmPGjImbfVIcswUD9u3+4H/wvLTYfKiqS9Cp66MDaH1GvmInUBPs5BIkL0YWpuKawSnysZwhc55aWeBOx2zBSZMcXJ84WtL8tp4aoPqHpp8PDeSdqYGnGpSM/OA8N/7wk/64e0o/jOqZ1urTbou8VCfe9Y/FJQd/jn3HlblxJrO8bJDKoxmdoM6fCyms+Il0TvCX1ALgymd1Uz2IiKjzStQM9Y76HPkYs7kjJL5EeCBf5JRvdNeIkPffcAqo+gF48wZg/2fKTjVD65U58lUegdmvbMCUxz7DtL9/ie+PydcRW5RAfnBu+FzvqLDYOs/8eFVo5fqQVZIqIV9DhgXTSkHmj3bI16PqUoPClYOJ/YNTLhyJEf42OUogf1gfyK89UI3nv9iv29QEP4aa9upf72uMPEe+ZLP8nddYEXXo0Pp58+bhmWeewYsvvogdO3Zg9uzZqKurww033AAAmDFjBubPnx/Y3uv1YtOmTdi0aRO8Xi8OHz6MTZs2Ye/evS3eJ3UyP3sGYtRMfGQ+L/BQLDLyAJCorGVa59XclW5JIJ9aGP5cxU4ITYZ77vk5eHPWWMweI3ecUuj6pu20TIrHmgIAqD1e1vyG2or1Wj5lbr12HhwQbAcAfsgdss1iws3jijD7gl7tu3zMGfjFaM10jB8qI2/k0RS7VIusZA3QbVJmirzWLhERdX53/1hesSQ3JQEpUZ7KF3MRl6ALDeRLYFWWri0RITfmG04Cz/8Y2PZ2MAGgHVqvXC/8a1sF3t8aHA24o6QalSe9OHRc/twdGKtAvjNyhvxNQlbVqRLy3yJFCqkID+iKHxdY5GvZgX374tnrRgY3inQN2n2wXHuothSoPgK7JAfyVV55BOt/hzwG0efiwIjNEaY9+tdHysgLAZR8q+yfgXwksa84pTFt2jRUVFTg/vvvR2lpKYYOHYoPPvggUKzu4MGDMJmC9xqOHDmCYcOCawc+8sgjeOSRRzB+/HisWbOmRfukTmbw1ZAGX43CPZ9hu7JGeV5qbO6OJzssOFrrQa0nQiBfXwX4ffph7+rQ+tSewIkD+p2V74QnrR/UvHCGXVmmTs0Oh3aaiRnt8RbQ6EgFPAdRX13e/IYVTQTyteXyPHPtPDgAsAc/gM0+OattM8d2ublIRhel45pRPfD61wexv0I+Z79fAI3e4F1N7dqqaka+W1/dfo6bwqv6EhFR13DxwGx8eteFcFhNHXZjOmqSmrleVgP52rJA9rZUpKEPglMHi3fuxbCqg/rXWZ3BjLyiQVgweUAWauobse67Y/juaF0gQVKQ7oS7A1a36TTOmgzseLfJp+vMLkBEyMgDqPMGl0m+aYgd2Ay5kLFWpFGhtkR5BafybcDhjUi0yNn1xAQH3pgxBsN7pAK4QV6euHw7XFJIJX1fQyAjb7eY5ERKbblccM9klfdNYTq82N3cuXPx/fffw+Px4KuvvsLo0cHltdasWYMXXngh8HthYSGEEGFfahDfkn1S59RXM/+6ID02RceSlA+c2nptIJ8S/Fm7lJnfD1Qrw9cjLZtRsQMNlcHh7Ra/srybmhEOLaR2/jx5uPfEha08e5mUKAekDTVHm99QW+hOq1a5mx46tF5zA87sVwJ5S4d3NwCAom7yOaorHHyyu0K/DIp2CoG6zF7oiIhm1r8lIqLOr0e6E5muKFes7wiJmox8r4sAyQyM/Y38e7Iyf76mJDBc25KqX+lp85q3wvdpSwxbYacRZjx+zTCM6SVfh+yvqAsMqx/EbHzbDPpZs097rXItsJTQOfIAjtfKxQodVhNsJ5XRmiFryIddE6lylWTrkWL0cMs3YmZP6K8E8YrswZFf6wtm5HvVbwUW5QWK7yFrQMyKPRoNr0apU5hzYW+YJAndkm04pyD19C9oB2ogX6PNyJut8tJr3hr5g04d3nTyKOBvACABKZqCHdZEuaBafRVQFiwkIqkBvDp03RxyZzoxHbhlbZvfgyVZ+cDWZqEjUYfW2136oefqvP7QofXaY6iBvDk+shY9lUB+T5l8znvKa3ChdoP6KuD4d0BaUTCQt9h1+zCb4uO9EBERtSvt0PqfPSOPCFQ/A7WjDpWq82OHDQY++b/AS872bAxPE9qSwjLyFosVDqs58Jm8/2hdYKpizObHd1a2RGDmGmDTa8DXfw972mdPBbzyqkWhjp+UA/n0RHtwSqh6A6dbX7n43JCfRz6uOnW0tgxmIf8tExJCRsk2Fcj7gxn5iw8uBfyNQCnnx59OfKTIiNqod2YSllw9BPN/3B+mGAVZSY4IGXkAyFMKoe3SVDFXh9UnZemD3YQUOWAEkFDydfBxtdKrusapOTp3Ip1ueYi+3XsC9Q2+pjdUM/LZZ+sfV+f1hw6t17DEWUa+Z4bc/rvKavC/a/bhhxOnwjfavlL+rgby1gTde7PEyU0JIiKidpXcXV4T3NlNXrFFeyNbXe7WWycnKAB5ep3GEGlf+D5tiaiX9DfE7Q55NIM2kFcz8mczkG+7nGHAkGsiPiUpN2RSpNrAWvKqymo5yZGaaA1eu6pD62/+GLjlS6BgbORj2pRMvbe26evX9F6Rl03WZOTNCLkeZSDfpPi4siYyoGR1aL2nQf/EwKny923vBB9T72q6cvQfihYHkCEXzbE0aKqlBzLySkcYpSFFdrd85z1VqkFJVX3kjRrqg3P6QztTdUmT0KH1GhYhv4e4CeTTEzGuj3wD4y8f7sTqXRHqA6iBfIMmI3/NCtQn9cD13t8xI09ERJ2TxQbM+gz49SeAOWTgrvoZ7z0Z/PwPGXZtliKsL29PRkW9fl9Ou3wtpBYoPlbHQnftLnQZOgBIzIQlSR4tmoJaJEJ/7VdXKf9dsx2+4BRR9W9sTwIym5mrrtZz8tQ2PaLUZAayBkV4scAHW47gD5ZX0K0upKJ996FNH7OLi48rayIDajIj3/9SeQ512RbgqFKVUxfIa+bUWZ2BQF4nkJFXO8LoBPKSU56blo4aHKmMkJkG5GHmwi8Pq0/poX9OHVKvrr1uC7/LalKq3drM8dHdmEwSXvrVKEwdlgshELhwCJBMwJFi+eZFYGh9AtDzR9g4dTXW+IfC3NmKGxEREancefJXKDWQ91Rpgrzw7apEyLWAOz8sI58k5ASAK8GCBM1yYyx0145Cl6FzpAAz18Dukq/9UqQ6JEF/DVRfLQfyhXZlGqUtCXC4WnY8deSiNiNvivC37N7E8HpPNW62/F/441kDwx8jAAzkiVot4hx5QJ4XX3SB/PO2f8rftcOTtEG51dFEIK9m5JWq6VEK5KEE8qlSDQ5HGmIOACeU9T/TeupvQgByAN/oBY4pd0+18/8HXQkA+CT5pwAAm6Xjq9ZrPXDpQGQm28OfKFCWMtz+brBqvTKKwueXb0owI09ERF1O6JBoyRRxuboN/j6Bn/0woUEA9dB/3jq8x+RdSBK6u4PXFix0144cIW15zg2AOxeJyrRKt1SLJEl/7edVih/nm5VllEML3TVHl5FvZmpoE/Pk37i0ieKR1tisRmVEDOSJWqnJjDwADFQqhm59W/5+XAmGIw2tz2wuI692hFG6O60E8tnScdSV7Iq8jXruqRECeW8dULpFvuGQkBaY7w8AuGwZcM0KvOyeDSB+htar3E4rHpoqz/k/IeQPnwpLd2DA5fIG29+RCxECgfetBvKcI09ERF1O6PQ5Z3rEIKsiNTgN74hIw2tfHYTHpx9yPyjFE/g5WxPIs9BdOzKZdcsBq9lxd5p88yUFtUgKGVrvr5OLHw+vWS0/0K0PWiwwR75GLlYHRL5+Da23pOjXsCP8QQuD+ObE15U1kYEE58hHCOT7/UTuMCt2AGXbgP2fyo/njQwpHJMApJ8l39XWitHQerWqfpZUiRs2XglsfiN8G11GPiSD7a0FfvhG/jlvJKAdcm5LBPr+GHV+uROPt0AeACYOyMIT04fhbwWP4j3fKCzN/CPQ/zIAEnB4A3BSzhjAqg/kObSeiIi6HLNVfz2SmAGYw0e2JfU+H+/6xgAA/tIwDW+sPwSfV5/5TckLzrXO1izjd05hbFYe6jISNIG88rdLSVcCeakuLCNv9pxAAuoxsOxf8gNj5rb8WIGpF6fJyGcOgF+KsHDa9nfDHxtzS8uP3wXF35U1kUEEMvKRAvmEVKDnOPnntcuAU8flOeb5o3QfehtLPHKQmBqytnxosbsIH5TtIrGb/ve3bw7fRi10Fykj76kJBvL5IyMewuuTK6LGy/JzoS4ZnINBw8/DnIbb8b2UByRnydVetZT33cih9URE1JVph9c70wFTSCghmSHljsBdDb/GJZ4/4l3/WOwpq8V+92js9udiv60vcO4cYMJ9gZec9AarlJ+dmxLlN9DFaOfJK8ULbUnyaEw3asPmyFu9lUhBHUyiUQ7CC8a0/Fj2CHPkIwXyVgd2Droz/PHybfL1bsF5wI/uBKb+HRh/d8uP3wUxkCdqpUSbMkc+0tB6AEfN8hwk/3dKNr7HufLdbE1We3+VDw0+f/g8+dOtI99e7K7wu6INIdXrA4F8YYSMfJ0+I69xyuvDqh1lqKmX30M8ZuRVdmX+vqdRWYYltUC/QejQ+tALFyIioq5AO7w+Ub7OwawvgJ7j5Z+7D0aK2w0PbNgqigBI8Pr82HWsEZO9D+ORwqeAKQ8FRgQCQL/uycHdx/G1giFpK9erQbWy/JxdakSWdEK3ud1bBYekBOFnOjddHVrfWB+8jm3i+rV04K9QJlLCn/jZ34Eb/g+46D5gyLTw607S4f8WolZqLiO/o6Qa/94lV3IXtcryZnalg9N0Sh5hQ0WNJzBP3iOUoFodWt8Y5WJ3koRGe8gwtoqQOUrq8PKkrPAO9cQBoPJ7ABKQM1z31B/f244bX1yP3WVyO9jM8VXsTstulbtCdQ3TwJqpqpBAnhl5IiLqknSBvDKqL3uQXEgNAPr+FOlJ4cHXtiNyFXRthXrVrPG9cNtFZ+GjeePa/XS7PG1GXq0gb0tEI+TrzUKpVL95YxUSoBb6PcNAXs3IA0Btmfy9iUC+X7YLq31D9Q9OuA8YeMWZHbOLizBBgYhawuWQO6fKk/p15EuqTuGG5d/gqkYHYAXMQs2q2/XfAZyCHeU1HnTvPhQSgL0iFwOl7yMMrY9SIA/A73AD9RXBB6oOB4eWCyEPnwfkGxGeGv2LT8rVTZHZP2x5kle/Oqj7PZ7vstuVc/M0KBn50GV3GMgTERHph9arGXkAGDhVHpmXnIO0uoawl+1oJpB3WM24Y9IZFFWjltNl5JWwT5LQYHPD4j2GAkkNuG2AzwtnYxUcaGVGPlL2vInr15yUBAyf+b+o2fcGktO6y8scD/n5mR2PGMgTtZa6dNnxOg98fhEI7u74xyaUVtejxhyyTIt6V9IS7NTqYUVZdT1qii7Gvd652Ce64z37H+SMvK8hOLTeEr1A3hw6TLzqh+DPjfXByqMOF1B9JPJO8s457XHiO5APGVqvzcibbYE5gJwjT0REXZo2I6+sfBOg3ARPdYZnYdWlehNs8Ts6r1PSzZEPXksmuLoBR48FM/LpvYHy7Uj0V7d+aH0kzUwN7dMjB+hxe9uP0YXF75U1UZxLS7RBkgC/AI7XyZ2eEAIbvpfnG/UvDM3qyoF/g6QJ5IUN5dX1KK/x4l3/WPxg7xUc+lRTEpOMvEnSLwmDqkPBnwMZeAmwJsp3TCPJG3Xa49jM8dvdBDLy6tB6tyaQ1xT48wfmyDOQJyKiLkgbyCdlRdzE0sznvSOOb+p3StqMvEkTVCvz5ItMSiCvLB+c7K9pfUY+kihevxIDeaJWs5hNSE+UO6iKGnk+UXV9IxqUtVJzszP1L1A6s00lwQqhDbCgrNqD4oOVAIAMl1Neax6Qh7j71DnyUSp2B8CEkEC++nDw53p5KFydlIDyOm+g4w8TUuiu0Rce8Nss8Rv8OgJz5CNk5DVLAzIjT0REXZo2uOt21mk3Dx2N52BGPrZ0GflmriXTewMAXKIGCWog3x5ruDOQjyoOrSdqg25Jdhyt9aKiVg64jynfk+wWJLr1S7s9u+4HPL7uQzTU12KHkuT1Q8JTn+wLBIj5qQkA8uUCclU/RH8deQCSCM3IB4fWC081JABVfgfGL/4Y5/fuhhkFt2P8sP4wvfNreSO7C+imn9tWrtzY0IrrYnfq0Hp1jrw2y1BfGfjR55efZyBPRERd0qnK4M9KFrc5/bKTsfmHqsDvkebIUxTp5shrAvnsQcChL4O/p/cCAHSTqvCk7XH5sfbIyJsYakYTM/JEbZChzJNXM/LHlCH26Uk2OJP12euaBjOq6xvhRbAj9cOERr9AgtWMnw3LxX2XDAgO667+ISZD63HWJP3vmkC+rlqeJlArEtDgE1i9qwI37BqFTWkXB+/U5o4IW0e2pEq/LikQ73Pkg0PrhRCAJAHObmHbMSNPRERdmraOTjMZ3t//pB9cDgv+fOVgdNNUsWcgH2ORqtYDwLjf6bdL6xX+2tYE8pc8pv+dGfmoit8rayIDCAvka5VAPtGGJLe+CMylIwqx6rfj8f4dFwYeG983Ew//z2B8c+9ELJ02FEUZScGK6THKyGPCfXgu8SZc7nlQ/r2mNHDcEyfkpedq4MTTvxyB3pny0iJHKk8F58nlh8+PX/7FgbDH4juQly8s/CIYrKPXhLDtfJwjT0REXZm6PO5pzBzXC5vun4z+3V0oygjOq3cwkI8t7ZRI7Y2X5Cxs7X9H8HdXDkToUPrWBPLn3AD01CwjyEA+quL3yprIADKT5THywYy8/D09yQ5Xappu297ZaeiVkYQ+WcmBx37UJwtXnZOPJLtm6JEukI9BRt6ehDVpV+Nb0UspxCcC1emrKo8r2yTj4oHZ6Jstn3tpVX3ww0GZH1/f4MP8t7fgrje/xb83l8BsknD/JQMCh4nrQN4aPLfAPPmLHwK6D5W/K9RA3sRAnoiIuqLLngBsycCVz512U/WzshcD+Y7T1NB6AJ5ETT0gZxp8jpA6SK0dWq8pEgwT/97RxIkLRG2gZuTLa+oBBDPy3ZJsSAoZWh9xfU0pQnDrUgP5w8EOMMp3NNMSbQAk/OBLRU9TGUTVIUipBYGh9cImB/DZLrlzLq/xAJMWAge/DGSu/725BK9/HVw7fu6FvXHtuQV4Ye0B2CwmOOP4w1tbUd/T4JNvrCRlAL/+RLddIzPyRETUlZ01EbjnYNiUuuYUdUsK/Mzl52KsieXnAKAhKSf4i92FRnsKLLWaZYZbW+xOe70r8XopmhjIE7VB+NB6+Xtaog2SxYaTwg6npFaejxCMRwrkAxn5Q8Hq6VGsWg8AWUqAfkR0Q0+UoeKH75BZeD5O1VYCAEwOF4BgIF9aVQ/0+6n8pSipDM6L75OVhLkTesNqNmHVb8fDL0RcZ7FNJgk2swlenz+YkY/AH5gjH7+jC4iIiKLqDD8DtUPrOUc+xhzu4M8m/bVkbcYIvNY4AX5XLq6VJDTYUuDQbtAeGXmKKl6NErVBhlLAJVC1Xil2l5YoP251uoIbawN5dw/5e++J4TtVA/n6SuDUifDXRkGmckOiBPK8/tJDe+VTUAJ59X1kuuTtSqvrw/ahfey560bCqmS5rWZTYA56PAsWvGs6kGdGnoiI6MwUZQQz8g4rQ4+YMpkBuxLMm/X5W4vFhN833oTXHdMAAF5Lov61rQ7kI4xApajg/yaiNgjNyNd5GgEAyQ65s7QmBOfDw6IJxud+DczbCaT1DN+pwyUv6QYANcoQpyh3impG/rCQA/kt27diwpI1qDh6FACQkio/HhhaHyGQP6Jk5Bf97Gzkpzmjer7RYLcGK9c3xceq9URERGckPzUBVrP8uenk0PrYG3CZvE58+lm6h9VphQ0+OYGhXuMEtDqQb4dl66hFOLSeqA3UQL6mvhH1DT6capCDwMDQMavm7qZZE4xbE5rvIN15QPl2zWujO7Q+2y0H6Af98vrpfaVD+K6iDslWuTptRjd5KbacFPmcj1TW43idV5lbLyupqtdtYzRha8lHwOXniIiIzozFbMKtE87CrrIa3Xx5ipHLnwDUpXU1LEog3+iTr22qT3mRqduglUPkmZGPGWbkidrA5bAEqrFX1HhQrwSBgUDepslMn8nweHV4fWte2wpZSvX9r0R/AMAIy3dIxCm4UQcAcCTLGfm81AQMzHHB6/Nj+Rf7dfs4rGTkc1OMOTeqJUPr/YJD64mIiM7Uby46C09MHx7X9XI6tQhF59RREl6fHweO1uH7o3Uhr2llmMg58jHDQJ6oDSRJ0s2Tr1cz8urQMZsmI285g2Dclav/Pdpz5JW57z+IDNQ58yH5G/HChEa4JaVTV6qeSpKEmeOKAAAf7ywPvP5EnRc19fK0gu5ug2bklZsvJ72NTW6j3rXmhQgREREZmVWTkb//3W047NcvmxxYAvlM9ZmiHCCx+e2ozRjIE7WRGgRX1HgCQ+sDxVys2oz8GQw1inFGXruuq6fH+QCAkWILBqUp86U065AOy5eX1dtTVhuYV/XJ7goAQO/MJCTajTljJ0v5O5ZFmP+v8vnl98uMPBERERmZGsiXVtfj090VeFJchbqCi4IbtDaQzx8J3LwauH1zO5wlNceYV9xEcUTNyJfXeHDKqwbyETLycTy0HgDenDUGh46fRJr1FLDzdeC7T2BrqJaf1KxDmpeagESbGXVeHwYt+BD5ac5A8PvjQdlRP89oUef2H65sJpAXnCNPRERExmcx669l/mfcECRePA14QKlyL0SEV7VQ7vA2nBm1FAN5ojbSVq6vDy1219qh9WGBfHSL3QHAyMI0jCxMA2rHyw+UbQnOj9Jk5E0mCYl2C+q8Pnga/dhbXgtAzlJfPjQn6ucZLbmBQn6nmtzGx+XniIiIqBOwmvQDs6ePLpB/GPsbYPtKYPiMDjgrOhMM5InaSB/Iy0OvAxl5gwyt10nKADIHAuXbAKEUftNk5AHgqnPy8OTqfbhyeB7+Z0Qe7FYTctwJger3RpSjFOlrLpDnHHkiIiLqDLol2+C0mXHS68OowrRAQgOT/whM+n8RC+RRfGEgT9RGaiBfWnUKXl9o1Xrt0PozyKonh2S2YxnIA0DReDmQBwCTRf8+APxmwlmY2D8LQ/NTIHWSjl4t0vf9sZN4f0sJTCYJFw/UTxVgRp6IiIg6A6fNgo/mjceqneW4oE+G/slOcm3X2bHYHVEbqXPkV++qCDwWuWr9GWTkdcPwpZgMrdfpOS74syMlrEN3WM0Y1iO10wTxQHBo/eHKU5j96kb8+uUN+ObAcd02wTny7DqJiIjI2HJSEvDLcwuQn+Y8/cYUd3g1StRGakZeS12THBbNUmxnMrQeAIZeCzjcwM0fx/7OaMF5gKTcjNDMj+/MclISMDjPDZvFhETlRszOkmrdNo3MyBMRERFRHGAgT9RGoYG83WIKZqq1mfQzzapf8SRw556OqfzpcAWPGzI/vrMymySsnHMedjw4BVePzAcAHDqhny/v4xx5IiIiIooDDOSJ2ig0kFeztgD0wfuZDK1vy2vaS0+len0XycgDgCRJMJsk5KfKQ8wOHT+pe14dWs+MPBERERF1JAbyRG1kt5h1wbxPG8ibNPUkY12wrq2G/xLIG9kllx9R54odOhESyPu5jjwRERERdTwG8kTt4N2550V+QhvIG60wXGohcNNHwIDLO/pMYi4/Ta5tsPVwNVbtKMOTq/eiztMYGG1hNtrfkoiIiIg6FS4/R9QO1KXLwsS62jy1ix5pTljNEhp8Aje+uB4A8M2B4/A0+AAAFjMDeSIiIiLqOMzIE0VT7oiOPgNqBafNgqd/OQLZLkfgsTW7KvDVfnk5Og6tJyIiIqKOxIw8UTuxmU3w+vz6B915wJxvulTBuM5iQr8svDU7GW+s/wFZLjvuX7ktMEfeauY9UCIiIiLqOAzkidpJgs0M7yl/+BMZfWJ/MtQu8lKdmDdJ/vs5LGb88b3tGFGQhnOL0jv4zIiIiIioK2MgT9ROBuW68MXeYx19GhQlV47Iw5Uj8jr6NIiIiIiIOEeeqL08ctUQ/HRwd7w1a0xHnwoREREREXVizMgTtZPu7gQ8OX14R58GERERERF1cszIExERERERERkIA3kiIiIiIiIiA2EgT0RERERERGQgDOSJiIiIiIiIDISBPBEREREREZGBMJAnIiIiIiIiMhAG8kREREREREQGwkCeiIiIiIiIyEAYyBMREREREREZCAN5IiIiIiIiIgNhIE9ERERERERkIAzkiYiIiIiIiAyEgTwRERERERGRgTCQJyIiIiIiIjIQBvJEREREREREBsJAnoiIiIiIiMhAGMgTERERERERGQgDeSIiIiIiIiIDsXT0CcQjIQQAoLq6uoPPhIiIiIiIiLoCNf5U49HmMJCPoKamBgCQn5/fwWdCREREREREXUlNTQ3cbnez20iiJeF+F+P3+3HkyBEkJydDkqRW7aO6uhr5+fk4dOgQXC5XO58habGtY49tHlts79hgO8ce2zy22N6xwXaOPbZ5bLG9o0cIgZqaGuTk5MBkan4WPDPyEZhMJuTl5bXLvlwuF/+BxwjbOvbY5rHF9o4NtnPssc1ji+0dG2zn2GObxxbbOzpOl4lXsdgdERERERERkYEwkCciIiIiIiIyEAbyUWK327FgwQLY7faOPpVOj20de2zz2GJ7xwbbOfbY5rHF9o4NtnPssc1ji+0dH1jsjoiIiIiIiMhAmJEnIiIiIiIiMhAG8kREREREREQGwkCeiIiIiIiIyEAYyBMREREREREZSJcL5BctWoSRI0ciOTkZmZmZuOKKK7Br1y7dNvX19ZgzZw7S09ORlJSEK6+8EmVlZYHnv/32W1xzzTXIz89HQkIC+vfvj7/+9a+6fZSUlGD69Ono06cPTCYTbr/99haf45NPPonCwkI4HA6MHj0aX3/9te75v//977jgggvgcrkgSRIqKyvPuB2irTO08wUXXABJknRfs2bNOvPGiJHO0Ob79u3D1KlTkZGRAZfLhauvvlp3fvEkVu399ttvY9KkSYE2GTNmDD788MPTnp8QAvfffz+6d++OhIQETJw4EXv27NFt86c//Qljx46F0+lESkpK6xsjyjpDWxcWFob1J4sXL25Dq0RPZ2jvjRs3YtKkSUhJSUF6ejpmzpyJ2traNrRK9MSqvT///HOcd955SE9PR0JCAvr164dHH330tOfHviS+2pp9SWzb20h9CRC7Ntf64osvYLFYMHTo0NOeX2fqT+KC6GIuvvhisXz5crF161axadMm8ZOf/ET06NFD1NbWBraZNWuWyM/PF6tWrRLr168X5557rhg7dmzg+eeee07ceuutYs2aNWLfvn3i5ZdfFgkJCWLZsmWBbfbv3y9uvfVW8eKLL4qhQ4eK2267rUXnt2LFCmGz2cTzzz8vtm3bJm6++WaRkpIiysrKAts8+uijYtGiRWLRokUCgDhx4kSb26W9dYZ2Hj9+vLj55ptFSUlJ4KuqqqrtjRMlRm/z2tpaUVRUJKZOnSo2b94sNm/eLC6//HIxcuRI4fP52qeR2lGs2vu2224Tf/7zn8XXX38tdu/eLebPny+sVqvYuHFjs+e3ePFi4Xa7xTvvvCO+/fZbcdlll4mePXuKU6dOBba5//77xdKlS8W8efOE2+1uv8ZpZ52hrQsKCsSDDz6o60+05x9PjN7ehw8fFqmpqWLWrFli586d4uuvvxZjx44VV155ZTu3VPuIVXtv3LhRvPbaa2Lr1q1i//794uWXXxZOp1M8/fTTzZ4f+5L4amv2JbFrb6P1JULErs1VJ06cEEVFRWLy5MliyJAhpz2/ztSfxIMuF8iHKi8vFwDEJ598IoQQorKyUlitVvHmm28GttmxY4cAINatW9fkfm655RZx4YUXRnxu/PjxLQ52Ro0aJebMmRP43efziZycHLFo0aKwbVevXh23gXwoI7bzmewvHhmtzT/88ENhMpl0N0sqKyuFJEniv//9b4uO0ZFi0d6qAQMGiIULFzb5vN/vF9nZ2eLhhx8OPFZZWSnsdrt4/fXXw7Zfvny5oT4sjdjWBQUF4tFHHz3dW4tLRmvvp59+WmRmZupuAG7evFkAEHv27Gn+zcaBWLb31KlTxbXXXtvk8+xL4q+t2ZfErr2N3pcIEf02nzZtmrj33nvFggULThvId/b+pCN0uaH1oaqqqgAAaWlpAIANGzagoaEBEydODGzTr18/9OjRA+vWrWt2P+o+Wsvr9WLDhg26Y5tMJkycOLHZYxuBUdv51VdfRbdu3TBo0CDMnz8fJ0+ebNOxY8lobe7xeCBJEux2e2Abh8MBk8mEzz//vE3Hj4VYtbff70dNTU2z2+zfvx+lpaW6Y7vdbowePdrwfQlg3LZevHgx0tPTMWzYMDz88MNobGxs/o3GCaO1t8fjgc1mg8kUvMRJSEgAAPYlGsXFxVi7di3Gjx/f5DbsS+KzrdmXxKa9jd6XANFt8+XLl+O7777DggULWnQunb0/6QiWjj6BjuT3+3H77bfjvPPOw6BBgwAApaWlsNlsYXMysrKyUFpaGnE/a9euxT/+8Q+89957bTqfo0ePwufzISsrK+zYO3fubNO+O5JR23n69OkoKChATk4ONm/ejLvvvhu7du3C22+/3abjx4IR2/zcc89FYmIi7r77bjz00EMQQuCee+6Bz+dDSUlJm44fbbFs70ceeQS1tbW4+uqrm9xG3X+k9m7q2EZh1La+9dZbMXz4cKSlpWHt2rWYP38+SkpKsHTp0mbfb0czYntPmDAB8+bNw8MPP4zbbrsNdXV1uOeeewCAfQmAvLw8VFRUoLGxEQ888ABuuummJs+HfYksntqafUns2tvIfQkQ3Tbfs2cP7rnnHnz22WewWFoWTnbm/qSjdOmM/Jw5c7B161asWLGi1fvYunUrLr/8cixYsACTJ09u8es+++wzJCUlBb5effXVVp9DvDNqO8+cORMXX3wxzj77bPziF7/ASy+9hH/+85/Yt29fa95CTBmxzTMyMvDmm2/iX//6F5KSkuB2u1FZWYnhw4fr7obHo1i192uvvYaFCxfijTfeQGZmJgB51Ii2vT/77LNWn4MRGLWt582bhwsuuACDBw/GrFmzsGTJEixbtgwej6fV7yMWjNjeAwcOxIsvvoglS5bA6XQiOzsbPXv2RFZWFvsSyH30+vXr8dRTT+Gxxx7D66+/DoB9SWt0RFuzL4ldexu5LwGi1+Y+nw/Tp0/HwoUL0adPn4iv62r9SUfpshn5uXPn4t///jc+/fRT5OXlBR7Pzs6G1+tFZWWl7m5VWVkZsrOzdfvYvn07LrroIsycORP33nvvGR3/nHPOwaZNmwK/Z2VlwW63w2w2h1XpjnRso+hM7Tx69GgAwN69e9GrV68zOo9YMnKbT548Gfv27cPRo0dhsViQkpKC7OxsFBUVndE5xFKs2nvFihW46aab8Oabb+qGpV122WWBf5sAkJubG8gUlJWVoXv37rpjt6SqbLzqTG09evRoNDY24sCBA+jbt2+L3n+sGbm9p0+fjunTp6OsrAyJiYmQJAlLly5lXwKgZ8+eAICzzz4bZWVleOCBB3DNNdewL4Ex25p9SVA02tuIfQkQ3TavqanB+vXrUVxcjLlz5wKQs/9CCFgsFvznP//pUv1Jh+roSfqx5vf7xZw5c0ROTo7YvXt32PNqEYi33nor8NjOnTvDikBs3bpVZGZmirvuuuu0xzzTgmBz584N/O7z+URubq7hit11pnZWff755wKA+Pbbb1t0jFjrjG2+atUqIUmS2LlzZ4uOEUuxbO/XXntNOBwO8c4777T43LKzs8UjjzwSeKyqqsqwBWU6U1urXnnlFWEymcTx48dbdJxY6ozt/dxzzwmn08nPyxALFy4UBQUFzZ4b+5L4bGsV+5LIotXe8dyXCBGbNvf5fGLLli26r9mzZ4u+ffuKLVu2NLmKQmfrT+JBlwvkZ8+eLdxut1izZo1u6Y6TJ08Gtpk1a5bo0aOH+Pjjj8X69evFmDFjxJgxYwLPb9myRWRkZIhrr71Wt4/y8nLdsYqLi0VxcbEYMWKEmD59uiguLhbbtm1r9vxWrFgh7Ha7eOGFF8T27dvFzJkzRUpKiigtLQ1sU1JSIoqLi8UzzzwjAIhPP/1UFBcXi2PHjrVTK7Wd0dt579694sEHHxTr168X+/fvFytXrhRFRUVi3Lhx7dhK7cvobS6EEM8//7xYt26d2Lt3r3j55ZdFWlqamDdvXju1UPuKVXu/+uqrwmKxiCeffFK3TWVlZbPnt3jxYpGSkiJWrlwZWMovdImX77//XhQXF4uFCxeKpKSkwN+1pqamHVuq7Yze1mvXrhWPPvqo2LRpk9i3b5945ZVXREZGhpgxY0Y7t1T7MHp7CyHEsmXLxIYNG8SuXbvEE088IRISEsRf//rXdmyl9hOr9n7iiSfEu+++K3bv3i12794tnn32WZGcnCz+8Ic/NHt+7Evip63Zl8T+37aR+hIhYnstqNWSqvVCdK7+JB50uUAeQMSv5cuXB7Y5deqUuOWWW0RqaqpwOp1i6tSpoqSkJPD8ggULIu4j9M5fS7aJZNmyZaJHjx7CZrOJUaNGiS+//FL3fFPH176Hjmb0dj548KAYN26cSEtLE3a7XfTu3Vvcddddcb2OvNHbXAgh7r77bpGVlSWsVqs466yzxJIlS4Tf729Ls0RNrNp7/PjxEbe57rrrmj0/v98v7rvvPpGVlSXsdru46KKLxK5du3TbXHfddRH3vXr16nZoofZj9LbesGGDGD16tHC73cLhcIj+/fuLhx56SNTX17dXE7Uro7e3EEL88pe/FGlpacJms4nBgweLl156qT2aJipi1d6PP/64GDhwoHA6ncLlcolhw4aJv/3tb7qltSJhXxI/bc2+JPb/to3UlwgR22tBrZYG8p2pP4kHkhBCgIiIiIiIiIgMIf5LLhIRERERERFRAAN5IiIiIiIiIgNhIE9ERERERERkIAzkiYiIiIiIiAyEgTwRERERERGRgTCQJyIiIiIiIjIQBvJEREREREREBsJAnoiIiIiIiMhAGMgTERERERERGQgDeSIiIgpz/fXXQ5IkSJIEq9WKrKwsTJo0Cc8//zz8fn+L9/PCCy8gJSUleidKRETUBTGQJyIiooimTJmCkpISHDhwAO+//z4uvPBC3HbbbbjkkkvQ2NjY0adHRETUZTGQJyIioojsdjuys7ORm5uL4cOH4/e//z1WrlyJ999/Hy+88AIAYOnSpTj77LORmJiI/Px83HLLLaitrQUArFmzBjfccAOqqqoC2f0HHngAAODxeHDnnXciNzcXiYmJGD16NNasWdMxb5SIiMhgGMgTERFRi02YMAFDhgzB22+/DQAwmUx4/PHHsW3bNrz44ov4+OOP8bvf/Q4AMHbsWDz22GNwuVwoKSlBSUkJ7rzzTgDA3LlzsW7dOqxYsQKbN2/GVVddhSlTpmDPnj0d9t6IiIiMQhJCiI4+CSIiIoov119/PSorK/HOO++EPffzn/8cmzdvxvbt28Oee+uttzBr1iwcPXoUgDxH/vbbb0dlZWVgm4MHD6KoqAgHDx5ETk5O4PGJEydi1KhReOihh9r9/RAREXUmlo4+ASIiIjIWIQQkSQIAfPTRR1i0aBF27tyJ6upqNDY2or6+HidPnoTT6Yz4+i1btsDn86FPnz66xz0eD9LT06N+/kREREbHQJ6IiIjOyI4dO9CzZ08cOHAAl1xyCWbPno0//elPSEtLw+eff44bb7wRXq+3yUC+trYWZrMZGzZsgNls1j2XlJQUi7dARERkaAzkiYiIqMU+/vhjbNmyBXfccQc2bNgAv9+PJUuWwGSSy+688cYbuu1tNht8Pp/usWHDhsHn86G8vBw/+tGPYnbuREREnQUDeSIiIorI4/GgtLQUPp8PZWVl+OCDD7Bo0SJccsklmDFjBrZu3YqGhgYsW7YMl156Kb744gs89dRTun0UFhaitrYWq1atwpAhQ+B0OtGnTx/84he/wIwZM7BkyRIMGzYMFRUVWLVqFQYPHoyf/vSnHfSOiYiIjIFV64mIiCiiDz74AN27d0dhYSGmTJmC1atX4/HHH8fKlSthNpsxZMgQLF26FH/+858xaNAgvPrqq1i0aJFuH2PHjsWsWbMwbdo0ZGRk4C9/+QsAYPny5ZgxYwZ++9vfom/fvrjiiivwzTffoEePHh3xVomIiAyFVeuJiIiIiIiIDIQZeSIiIiIiIiIDYSBPREREREREZCAM5ImIiIiIiIgMhIE8ERERERERkYEwkCciIiIiIiIyEAbyRERERERERAbCQJ6IiIiIiIjIQBjIExERERERERkIA3kiIiIiIiIiA2EgT0RERERERGQgDOSJiIiIiIiIDOT/Ayj9Xph9OsV2AAAAAElFTkSuQmCC\n" }, "metadata": {} } ], "source": [ "# creating results dataframe and plot predicted vs actual values of PatchTST\n", "patchtst_results = create_results_and_plot(\n", " model_name=\"PatchTST\",\n", " predictions=patchtst_predictions,\n", " actual=target_test_actual,\n", " y_test=y_test,\n", " lookback=lookback\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "6Lvktgy_7-3Q", "outputId": "34c5f907-9594-4b4b-d281-816a1cddbd5d" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "{'MAE': 0.016397832849472757, 'RMSE': np.float64(0.022343727430305473), 'QLIKE': np.float32(0.036804363)}\n" ] } ], "source": [ "calculate_metrics(\"PatchTST\", patchtst_results)\n", "print(MODEL_RESULTS[\"PatchTST\"])\n" ] }, { "cell_type": "markdown", "metadata": { "id": "9nzSP4nPqjYf" }, "source": [ "## Temporal Fusion Transformer model for predicting Realised volatility" ] }, { "cell_type": "markdown", "source": [ "Temporal Fusion Transformer with thre components\n", "1. LSTM temporal encoder - learns sequential dependencies first\n", "2. Gated Residual Network - filters and transforms features\n", "3. multi head attention - finds most important time step.\n", "\n", "This architechture can learn short term patterns and long term patterns simultaniously" ], "metadata": { "id": "-H0VV8monN9f" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "6uXJCbSqtqBV" }, "outputs": [], "source": [ "def build_tft_model(input_shape):\n", "\n", " inputs = Input( shape=input_shape )\n", "\n", " # Temporal LSTM\n", " x = LSTM( 128, return_sequences=True, dropout=0.2 )(inputs)\n", "\n", " # Gated Residual Network 1\n", " grn = Dense(128,activation=\"relu\" )(x)\n", " grn = Dropout(0.2)(grn)\n", " grn = Dense(128)(grn)\n", " gate = Dense( 128, activation=\"relu\" )(x) # Gating mechanism\n", " grn = Multiply()([grn, gate])\n", " x = Add()([x, grn]) # Residual connection\n", " x = LayerNormalization( epsilon=1e-6 )(x)\n", "\n", " # Multi-Head Self Attention\n", " attention = MultiHeadAttention( num_heads=4, key_dim=32, dropout=0.2 )(x, x)\n", " attention = Dropout(0.2)(attention)\n", " x = Add()([x, attention]) # Residual connection\n", " x = LayerNormalization( epsilon=1e-6 )(x)\n", "\n", " # Gated Residual Network 2\n", " grn = Dense(128, activation=\"relu\" )(x)\n", " grn = Dropout(0.2)(grn)\n", " grn = Dense(128)(grn)\n", " gate = Dense( 128, activation=\"relu\" )(x) # Gating mechanism\n", " grn = Multiply()([grn, gate])\n", " x = Add()([x, grn]) # Residual connection\n", " x = LayerNormalization(epsilon=1e-6)(x)\n", "\n", "\n", " x = GlobalAveragePooling1D()(x) # Global representation\n", "\n", " # Regression head\n", " x = Dense( 32, activation=\"relu\" )(x)\n", " x = Dropout(0.2)(x)\n", " x = Dense( 16, activation=\"relu\" )(x)\n", "\n", " # linear output for volatililty\n", " outputs = Dense(1)(x)\n", "\n", " # Create model\n", " model = Model(\n", " inputs=inputs,\n", " outputs=outputs\n", " )\n", "\n", " return model" ] }, { "cell_type": "markdown", "source": [ "TFT installation" ], "metadata": { "id": "GpPE4dzdteGp" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "NSJh4JVILWJj", "outputId": "44647c5e-b88e-441f-e78b-35944037841b" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"functional_32\"\u001b[0m\n" ], "text/html": [ "
Model: \"functional_32\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n", "│ input_layer_32 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m26\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", "│ (\u001b[38;5;33mInputLayer\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ lstm_35 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m79,360\u001b[0m │ input_layer_32[\u001b[38;5;34m0\u001b[0m… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_110 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ lstm_35[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dropout_100 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_110[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_111 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ dropout_100[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_112 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ lstm_35[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ multiply_6 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_111[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", "│ (\u001b[38;5;33mMultiply\u001b[0m) │ │ │ dense_112[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ add_17 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ lstm_35[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", "│ │ │ │ multiply_6[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ layer_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │ add_17[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mLayerNormalizatio…\u001b[0m │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ multi_head_attenti… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m66,048\u001b[0m │ layer_normalizat… │\n", "│ (\u001b[38;5;33mMultiHeadAttentio…\u001b[0m │ │ │ layer_normalizat… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dropout_102 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ multi_head_atten… │\n", "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ add_18 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ layer_normalizat… │\n", "│ │ │ │ dropout_102[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ layer_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │ add_18[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mLayerNormalizatio…\u001b[0m │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_113 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ layer_normalizat… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dropout_103 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_113[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_114 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ dropout_103[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_115 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ layer_normalizat… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ multiply_7 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_114[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", "│ (\u001b[38;5;33mMultiply\u001b[0m) │ │ │ dense_115[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ add_19 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ layer_normalizat… │\n", "│ │ │ │ multiply_7[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ layer_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │ add_19[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mLayerNormalizatio…\u001b[0m │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ layer_normalizat… │\n", "│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_116 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m4,128\u001b[0m │ global_average_p… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dropout_104 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_116[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_117 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m528\u001b[0m │ dropout_104[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_118 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m17\u001b[0m │ dense_117[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│ input_layer_32      │ (None, 21, 26)    │          0 │ -                 │\n",
              "│ (InputLayer)        │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ lstm_35 (LSTM)      │ (None, 21, 128)   │     79,360 │ input_layer_32[0… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_110 (Dense)   │ (None, 21, 128)   │     16,512 │ lstm_35[0][0]     │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dropout_100         │ (None, 21, 128)   │          0 │ dense_110[0][0]   │\n",
              "│ (Dropout)           │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_111 (Dense)   │ (None, 21, 128)   │     16,512 │ dropout_100[0][0] │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_112 (Dense)   │ (None, 21, 128)   │     16,512 │ lstm_35[0][0]     │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ multiply_6          │ (None, 21, 128)   │          0 │ dense_111[0][0],  │\n",
              "│ (Multiply)          │                   │            │ dense_112[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_17 (Add)        │ (None, 21, 128)   │          0 │ lstm_35[0][0],    │\n",
              "│                     │                   │            │ multiply_6[0][0]  │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 21, 128)   │        256 │ add_17[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ multi_head_attenti… │ (None, 21, 128)   │     66,048 │ layer_normalizat… │\n",
              "│ (MultiHeadAttentio… │                   │            │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dropout_102         │ (None, 21, 128)   │          0 │ multi_head_atten… │\n",
              "│ (Dropout)           │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_18 (Add)        │ (None, 21, 128)   │          0 │ layer_normalizat… │\n",
              "│                     │                   │            │ dropout_102[0][0] │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 21, 128)   │        256 │ add_18[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_113 (Dense)   │ (None, 21, 128)   │     16,512 │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dropout_103         │ (None, 21, 128)   │          0 │ dense_113[0][0]   │\n",
              "│ (Dropout)           │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_114 (Dense)   │ (None, 21, 128)   │     16,512 │ dropout_103[0][0] │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_115 (Dense)   │ (None, 21, 128)   │     16,512 │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ multiply_7          │ (None, 21, 128)   │          0 │ dense_114[0][0],  │\n",
              "│ (Multiply)          │                   │            │ dense_115[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_19 (Add)        │ (None, 21, 128)   │          0 │ layer_normalizat… │\n",
              "│                     │                   │            │ multiply_7[0][0]  │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 21, 128)   │        256 │ add_19[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ global_average_poo… │ (None, 128)       │          0 │ layer_normalizat… │\n",
              "│ (GlobalAveragePool… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_116 (Dense)   │ (None, 32)        │      4,128 │ global_average_p… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dropout_104         │ (None, 32)        │          0 │ dense_116[0][0]   │\n",
              "│ (Dropout)           │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_117 (Dense)   │ (None, 16)        │        528 │ dropout_104[0][0] │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_118 (Dense)   │ (None, 1)         │         17 │ dense_117[0][0]   │\n",
              "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
              "
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\n" ] }, "metadata": {} } ], "source": [ "# installing TFT model with input shape (21,26)\n", "tf.keras.utils.set_random_seed(42)\n", "tft_model = build_tft_model(\n", " input_shape=(\n", " X_train_seq.shape[1],\n", " X_train_seq.shape[2]\n", " )\n", ")\n", "\n", "tft_model.summary()" ] }, { "cell_type": "markdown", "source": [ "Compiling TFT model" ], "metadata": { "id": "6cFpV5wItnEY" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "U2Cr-3sN86bB" }, "outputs": [], "source": [ "# compiling TFT model with adam optimiser and mse as loss and mae as metric\n", "tft_model.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "Call backs and training TFT model" ], "metadata": { "id": "cZ427ar0t0ZQ" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "I2Pt7UfNtqEk", "outputId": "f0950b36-b045-4fe6-be8c-7b4e32b7cbf1" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 25ms/step - loss: 0.0259 - mae: 0.0929 - val_loss: 0.0274 - val_mae: 0.0933 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0066 - mae: 0.0548 - val_loss: 0.0123 - val_mae: 0.0642 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0039 - mae: 0.0417 - val_loss: 0.0108 - val_mae: 0.0621 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0029 - mae: 0.0369 - val_loss: 0.0058 - val_mae: 0.0563 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0030 - mae: 0.0369 - val_loss: 0.0036 - val_mae: 0.0378 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - loss: 0.0022 - mae: 0.0327 - val_loss: 0.0024 - val_mae: 0.0280 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 28ms/step - loss: 0.0020 - mae: 0.0305 - val_loss: 0.0059 - val_mae: 0.0439 - learning_rate: 0.0010\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0023 - mae: 0.0320 - val_loss: 0.0047 - val_mae: 0.0515 - learning_rate: 0.0010\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0024 - mae: 0.0340 - val_loss: 0.0042 - val_mae: 0.0305 - learning_rate: 0.0010\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step - loss: 0.0015 - mae: 0.0266 - val_loss: 0.0038 - val_mae: 0.0423 - learning_rate: 5.0000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0018 - mae: 0.0276 - val_loss: 0.0040 - val_mae: 0.0309 - learning_rate: 5.0000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0014 - mae: 0.0258 - val_loss: 0.0043 - val_mae: 0.0452 - learning_rate: 5.0000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0014 - mae: 0.0255 - val_loss: 0.0036 - val_mae: 0.0329 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0014 - mae: 0.0252 - val_loss: 0.0041 - val_mae: 0.0372 - learning_rate: 2.5000e-04\n" ] } ], "source": [ "# call backs\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_TFT.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training TFT model\n", "history_tft = tft_model.fit(\n", " X_train_seq,\n", " y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "a3upOOCPtqNk", "outputId": "f051f8f3-bb9b-4d8e-cf9e-21e728a35717" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# LSTM training and validation loss\n", "plot_history(history_tft, \"tft_model\")" ] }, { "cell_type": "markdown", "source": [ "Making predictions on test data" ], "metadata": { "id": "abMwgex8t86e" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "yj_g1SuPtqQT", "outputId": "2cd1d098-9c90-40ea-8fc0-106a433859e3" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 21ms/step\n" ] } ], "source": [ "# predicting on test data and inverse scale\n", "tft_predictions, target_test_actual = predict_and_inverse_scale(\n", " tft_model,\n", " X_test_seq,\n", " y_test_seq,\n", " y_scaler\n", ")" ] }, { "cell_type": "markdown", "source": [ "Createing results and plotting actual and predicted values of TFT model" ], "metadata": { "id": "LsGFH0dYufls" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 599 }, "id": "RSF8aT3itqgL", "outputId": "5c673c28-b73d-4713-bb48-cc1e775da960" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# plotting actual and predicted values and create results dataframe\n", "tft_results = create_results_and_plot(\n", " model_name=\"TFT\",\n", " predictions=tft_predictions,\n", " actual=target_test_actual,\n", " y_test=y_test,\n", " lookback=lookback\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "o1Q0BcKy8GQS", "outputId": "0f75e113-870d-44bc-d509-d178ab1f80d6" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "{'MAE': 0.016606879207373124, 'RMSE': np.float64(0.022674576025202644), 'QLIKE': np.float32(0.038387183)}\n" ] } ], "source": [ "calculate_metrics(\"TFT\", tft_results)\n", "print(MODEL_RESULTS[\"TFT\"])\n" ] }, { "cell_type": "markdown", "metadata": { "id": "TTBP8TLiqjcB" }, "source": [ "## CNN-LSTM model for predicting Realised volatility" ] }, { "cell_type": "markdown", "source": [ "In hybrid CNN-LSTM architechture,\n", "\n", "1. CNN layer extracts short term patterns\n", "\n", "2. then those LSTM layer learn how those patterns usefull and continoue for long term" ], "metadata": { "id": "0fDkDgavvJA6" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "t9tKzp_mufa2" }, "outputs": [], "source": [ "def build_cnn_lstm_model(input_shape):\n", "\n", " model = Sequential([\n", " Input(shape=input_shape),\n", "\n", " # CNN Block\n", " Conv1D(64,2, padding=\"same\",activation=\"relu\"),\n", " Conv1D(64,2,padding=\"same\", activation=\"relu\"),\n", " Dropout(0.2),\n", "\n", " # LSTM Block\n", " LSTM( 64, return_sequences=True ),\n", " LSTM(32,return_sequences=False ),\n", " Dropout(0.2),\n", "\n", " # Regression head\n", " Dense( 64, activation=\"relu\" ),\n", " Dropout(0.40),\n", " Dense(1)\n", " ])\n", "\n", " return model" ] }, { "cell_type": "markdown", "source": [ "Hybrid CNN-LSTM model installation" ], "metadata": { "id": "QS5w_3x6wEo_" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 423 }, "id": "Y2xh23_nctgu", "outputId": "83e076fc-b7d4-4689-982a-ded61baf437c" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"sequential_25\"\u001b[0m\n" ], "text/html": [ "
Model: \"sequential_25\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ conv1d_30 (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m3,392\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ conv1d_31 (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m8,256\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_105 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ lstm_36 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m33,024\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ lstm_37 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m12,416\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_106 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_119 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m2,112\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_107 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_120 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m65\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ conv1d_30 (Conv1D)              │ (None, 21, 64)         │         3,392 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_31 (Conv1D)              │ (None, 21, 64)         │         8,256 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_105 (Dropout)           │ (None, 21, 64)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ lstm_36 (LSTM)                  │ (None, 21, 64)         │        33,024 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ lstm_37 (LSTM)                  │ (None, 32)             │        12,416 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_106 (Dropout)           │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_119 (Dense)               │ (None, 64)             │         2,112 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_107 (Dropout)           │ (None, 64)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_120 (Dense)               │ (None, 1)              │            65 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m59,265\u001b[0m (231.50 KB)\n" ], "text/html": [ "
 Total params: 59,265 (231.50 KB)\n",
              "
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 Trainable params: 59,265 (231.50 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" ], "text/html": [ "
 Non-trainable params: 0 (0.00 B)\n",
              "
\n" ] }, "metadata": {} } ], "source": [ "# installing CNN-LSTM model with adam optimiser\n", "tf.keras.utils.set_random_seed(42)\n", "cnn_lstm_model = build_cnn_lstm_model(\n", " input_shape=(\n", " X_train_seq.shape[1],\n", " X_train_seq.shape[2]\n", " )\n", ")\n", "\n", "cnn_lstm_model.summary()" ] }, { "cell_type": "markdown", "source": [ "compiling CNN-LSTM model" ], "metadata": { "id": "sGTqNSIQw59M" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ydYqAfB0ufea" }, "outputs": [], "source": [ "# compiling CNN-LSTM model with adam optimiser\n", "cnn_lstm_model.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "jSTrhMtBufnN", "outputId": "e882deb4-6324-40cf-9995-1149d2bd0291" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 17ms/step - loss: 0.0056 - mae: 0.0487 - val_loss: 0.0063 - val_mae: 0.0489 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0029 - mae: 0.0357 - val_loss: 0.0085 - val_mae: 0.0640 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0027 - mae: 0.0333 - val_loss: 0.0019 - val_mae: 0.0247 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0017 - mae: 0.0263 - val_loss: 0.0010 - val_mae: 0.0222 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0018 - mae: 0.0271 - val_loss: 0.0031 - val_mae: 0.0379 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0016 - mae: 0.0264 - val_loss: 0.0010 - val_mae: 0.0206 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0014 - mae: 0.0241 - val_loss: 0.0022 - val_mae: 0.0349 - learning_rate: 0.0010\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0012 - mae: 0.0219 - val_loss: 0.0011 - val_mae: 0.0200 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step - loss: 0.0011 - mae: 0.0212 - val_loss: 0.0017 - val_mae: 0.0225 - learning_rate: 5.0000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0012 - mae: 0.0210 - val_loss: 0.0011 - val_mae: 0.0218 - learning_rate: 5.0000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0012 - mae: 0.0207 - val_loss: 9.5148e-04 - val_mae: 0.0192 - learning_rate: 2.5000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 9.9525e-04 - mae: 0.0195 - val_loss: 0.0012 - val_mae: 0.0200 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0010 - mae: 0.0197 - val_loss: 0.0015 - val_mae: 0.0213 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 9.0205e-04 - mae: 0.0189 - val_loss: 9.2122e-04 - val_mae: 0.0192 - learning_rate: 1.2500e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0011 - mae: 0.0202 - val_loss: 0.0017 - val_mae: 0.0217 - learning_rate: 1.2500e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0011 - mae: 0.0192 - val_loss: 0.0013 - val_mae: 0.0210 - learning_rate: 1.2500e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 9.5378e-04 - mae: 0.0190 - val_loss: 0.0011 - val_mae: 0.0200 - learning_rate: 1.2500e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 9.8928e-04 - mae: 0.0192 - val_loss: 0.0011 - val_mae: 0.0202 - learning_rate: 6.2500e-05\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 9.3596e-04 - mae: 0.0184 - val_loss: 9.8564e-04 - val_mae: 0.0194 - learning_rate: 6.2500e-05\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 9.4124e-04 - mae: 0.0192 - val_loss: 0.0011 - val_mae: 0.0208 - learning_rate: 6.2500e-05\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 8.9558e-04 - mae: 0.0185 - val_loss: 0.0010 - val_mae: 0.0198 - learning_rate: 3.1250e-05\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0011 - mae: 0.0189 - val_loss: 0.0013 - val_mae: 0.0214 - learning_rate: 3.1250e-05\n" ] } ], "source": [ "# call backs\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_CNN_LSTM.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training CNN-LSTM model\n", "history_cnn_lstm = cnn_lstm_model.fit(\n", " X_train_seq,\n", " y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "eF5AHxTiufq1", "outputId": "592ac65f-a6e1-43cf-faab-e04c30994607" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# CNN-LSTM training and validation loss\n", "plot_history(history_cnn_lstm, \"CNN-LSTM\")" ] }, { "cell_type": "markdown", "source": [ "predicting on test data" ], "metadata": { "id": "46cM5g6D40Uf" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "bpKhZyMrufyN", "outputId": "21476f05-137c-488d-ae22-cd5000a5f43b" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step\n" ] } ], "source": [ "cnn_lstm_predictions, target_test_actual = predict_and_inverse_scale(\n", " cnn_lstm_model,\n", " X_test_seq,\n", " y_test_seq,\n", " y_scaler\n", ")" ] }, { "cell_type": "markdown", "source": [ "plotting actual and predicted values" ], "metadata": { "id": "INcj6cCY43rs" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 599 }, "id": "uSycnq2ouf1S", "outputId": "306513f0-f49c-4c98-9e16-e254ed20620e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# creating results data frame and plotting predicted and actual values\n", "cnn_lstm_results = create_results_and_plot(\n", " model_name=\"CNN-LSTM\",\n", " predictions=cnn_lstm_predictions,\n", " actual=target_test_actual,\n", " y_test=y_test,\n", " lookback=lookback\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "RFvmFztQ8Me3", "outputId": "7c4155d1-fee5-4ea0-ac39-90f0d0f39b31" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "{'MAE': 0.019733983880956638, 'RMSE': np.float64(0.023905929072690634), 'QLIKE': np.float32(0.063700736)}\n" ] } ], "source": [ "calculate_metrics(\"CNN-LSTM\", cnn_lstm_results)\n", "print(MODEL_RESULTS[\"CNN-LSTM\"])\n" ] }, { "cell_type": "markdown", "metadata": { "id": "oJmp_yOVqjfX" }, "source": [ "## GARCH-LSTM model for predicting Realised volatility" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "BZ2l53PzfPsp" }, "outputs": [], "source": [ "# GARCH models will fit on percentage log returns\n", "gl_ret = df[\"Log_Return\"] * 100" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "SuICIbR5_wWg" }, "outputs": [], "source": [ "# fit garch on training data\n", "gl_ret_train = gl_ret.loc[\"2008-01-02\" : \"2020-12-31\"]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vbAq4vu3DX2H", "outputId": "ecdf366d-cfb1-40c6-9def-1faff150b0a9" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ " Constant Mean - GARCH Model Results \n", "==============================================================================\n", "Dep. Variable: Log_Return R-squared: 0.000\n", "Mean Model: Constant Mean Adj. R-squared: 0.000\n", "Vol Model: GARCH Log-Likelihood: -4346.91\n", "Distribution: Normal AIC: 8701.82\n", "Method: Maximum Likelihood BIC: 8726.12\n", " No. Observations: 3211\n", "Date: Fri, Sep 04 2026 Df Residuals: 3210\n", "Time: 12:08:00 Df Model: 1\n", " Mean Model \n", "==========================================================================\n", " coef std err t P>|t| 95.0% Conf. Int.\n", "--------------------------------------------------------------------------\n", "mu 0.0777 1.356e-02 5.729 1.010e-08 [5.113e-02, 0.104]\n", " Volatility Model \n", "============================================================================\n", " coef std err t P>|t| 95.0% Conf. Int.\n", "----------------------------------------------------------------------------\n", "omega 0.0287 6.419e-03 4.468 7.899e-06 [1.610e-02,4.126e-02]\n", "alpha[1] 0.1673 2.028e-02 8.253 1.543e-16 [ 0.128, 0.207]\n", "beta[1] 0.8172 1.766e-02 46.285 0.000 [ 0.783, 0.852]\n", "============================================================================\n", "\n", "Covariance estimator: robust\n" ] } ], "source": [ "# fitting GARCH (1,1) model on training return\n", "gl_garch = arch_model(gl_ret_train,\n", " vol=\"Garch\", # standard GARCH\n", " p=1, # one lag of squared returns (ARCH term)\n", " q=1, # one lag of variance (GARCH term)\n", " mean=\"Constant\", # assumes a constant mean return\n", " dist=\"normal\")\n", "gl_garch_fit = gl_garch.fit(disp=\"off\")\n", "print(gl_garch_fit.summary())" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "jWraMUdIFRP5" }, "outputs": [], "source": [ "# applying training fitted GARCH parameters to full dataset and get volatility conditional for entire dataset\n", "gl_full = arch_model(gl_ret, vol=\"Garch\", p=1, q=1,\n", " mean=\"Constant\", dist=\"normal\")\n", "gl_fixed = gl_full.fix(gl_garch_fit.params)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "89HU4XJJFRS_" }, "outputs": [], "source": [ "# converting conditinal volatility from percentage dialy units to annualised decimals\n", "gl_garch_vol = pd.Series(\n", " np.asarray(gl_fixed.conditional_volatility) / 100 * np.sqrt(252),\n", " index=gl_ret.index\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "HN9y5zteFX7g" }, "outputs": [], "source": [ "# alligning GARCH volatility to the train and test index dates\n", "gl_gv_train = gl_garch_vol.loc[y_train.index]\n", "gl_gv_test = gl_garch_vol.loc[y_test.index]" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Nx7JFx1XFa7v" }, "outputs": [], "source": [ "# calculating residuals which is difference between actual and GARCH predited volatility\n", "gl_res_train = (y_train - gl_gv_train).values.reshape(-1, 1)\n", "gl_res_test = (y_test - gl_gv_test ).values.reshape(-1, 1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "BfOohTWDFcaA", "outputId": "9e7f9ace-4fec-4a64-e3b3-548829f3a707" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "residual train mean -0.00497 std 0.03919\n" ] } ], "source": [ "# cheking residual mean and standard deviation\n", "print(\"residual train mean %.5f std %.5f\" % (gl_res_train.mean(), gl_res_train.std()))" ] }, { "cell_type": "markdown", "source": [ "Adding GARCH volatility as additional feature, so LSTM can have both financial price data and GARCH predicted values." ], "metadata": { "id": "CSN30_8bB2jZ" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "pdB8bocXGpt9" }, "outputs": [], "source": [ "# adding GARCH volatility to training dataset\n", "gl_X_train = X_train.copy()\n", "gl_X_train[\"garch_vol\"] = gl_gv_train\n", "\n", "# adding GARCH volatility to test dataset\n", "gl_X_test = X_test.copy()\n", "gl_X_test[\"garch_vol\"] = gl_gv_test\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "elfpCRjgGrB_" }, "outputs": [], "source": [ "# it scales 27 input features (26 original features and garch volatility) from 0 to 1\n", "gl_feat_scaler = MinMaxScaler()\n", "\n", "# it scales residual target from 0 to 1\n", "gl_res_scaler = MinMaxScaler()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "SH6qdqRQGrKY" }, "outputs": [], "source": [ "# fit on trainig features only and transform both train and test\n", "gl_Xtr = gl_feat_scaler.fit_transform(gl_X_train)\n", "gl_Xte = gl_feat_scaler.transform(gl_X_test)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "sFd2tcHuG4sl" }, "outputs": [], "source": [ "# fit residual scaler on training residuals only and transform both train and test\n", "gl_rtr = gl_res_scaler.fit_transform(gl_res_train)\n", "gl_rte = gl_res_scaler.transform(gl_res_test)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "1xaKARCaG4vW" }, "outputs": [], "source": [ "# creating 21 days sequences\n", "gl_X_train_seq, gl_y_train_seq = create_sequences(gl_Xtr, gl_rtr, lookback)\n", "gl_X_test_seq, gl_y_test_seq = create_sequences(gl_Xte, gl_rte, lookback)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "FJdF3eTaHCc-", "outputId": "0d3cdb49-e8e5-4fd8-9ff7-f0452557ebca" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "(3190, 21, 27) (3190, 1) (773, 21, 27) (773, 1)\n" ] } ], "source": [ "# checking the shape of the data before training\n", "print(gl_X_train_seq.shape, gl_y_train_seq.shape,\n", " gl_X_test_seq.shape, gl_y_test_seq.shape)" ] }, { "cell_type": "markdown", "source": [ "GARCH-LSTM architechture" ], "metadata": { "id": "dAwiXNdqFi9r" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "KUgmwXLvu4WE" }, "outputs": [], "source": [ "def build_garch_lstm_model(input_shape):\n", "\n", " # building LSTM models with input shape (21,27)\n", " model = Sequential([\n", " LSTM(\n", " 128,\n", " return_sequences=True,\n", " input_shape=input_shape\n", " ),\n", " Dropout(0.2),\n", "\n", " # block 1\n", " # it won't return any sequences for next layer\n", " LSTM(64),\n", " Dropout(0.2),\n", "\n", " # regression with three dense layers gradually narrow to the output\n", " Dense(64, activation=\"relu\"),\n", " Dense(32, activation=\"relu\"),\n", " Dense(16, activation=\"relu\"),\n", "\n", " # linear output, output will be scaled residuals not volatility\n", " Dense(1)\n", " ])\n", "\n", " return model\n" ] }, { "cell_type": "markdown", "source": [ "GARCH-LSTM intsallation" ], "metadata": { "id": "NdmLDDxHI91d" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 445 }, "id": "lJXgAgluRV6S", "outputId": "3482e2f2-168a-41a0-ab23-34d6046f0182" }, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.13/dist-packages/keras/src/layers/rnn/rnn.py:199: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", " super().__init__(**kwargs)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"sequential_26\"\u001b[0m\n" ], "text/html": [ "
Model: \"sequential_26\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ lstm_38 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m79,872\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_108 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ lstm_39 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m49,408\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_109 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_121 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m4,160\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_122 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m2,080\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_123 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m528\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_124 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m17\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ lstm_38 (LSTM)                  │ (None, 21, 128)        │        79,872 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_108 (Dropout)           │ (None, 21, 128)        │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ lstm_39 (LSTM)                  │ (None, 64)             │        49,408 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_109 (Dropout)           │ (None, 64)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_121 (Dense)               │ (None, 64)             │         4,160 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_122 (Dense)               │ (None, 32)             │         2,080 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_123 (Dense)               │ (None, 16)             │           528 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_124 (Dense)               │ (None, 1)              │            17 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m136,065\u001b[0m (531.50 KB)\n" ], "text/html": [ "
 Total params: 136,065 (531.50 KB)\n",
              "
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 Trainable params: 136,065 (531.50 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" ], "text/html": [ "
 Non-trainable params: 0 (0.00 B)\n",
              "
\n" ] }, "metadata": {} } ], "source": [ "# installing the GARCH-LSTM model with input shape (21,27)\n", "tf.keras.utils.set_random_seed(42)\n", "garch_lstm_model = build_garch_lstm_model(\n", " input_shape=(\n", " gl_X_train_seq.shape[1],\n", " gl_X_train_seq.shape[2]\n", " )\n", ")\n", "\n", "garch_lstm_model.summary()" ] }, { "cell_type": "markdown", "source": [ "Compiling GARCH-LSTM model with adam optimiser" ], "metadata": { "id": "UjZwkfJwJKOi" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "JFu2xPIVRD46" }, "outputs": [], "source": [ "# compiling the model\n", "garch_lstm_model.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "call backs and training the model" ], "metadata": { "id": "avCLnYU0JVQA" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-1AK924dRG7h", "outputId": "441dfe8f-0742-4cf5-a1cb-94541c6817a2" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 16ms/step - loss: 0.0295 - mae: 0.1035 - val_loss: 0.0081 - val_mae: 0.0664 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0034 - mae: 0.0429 - val_loss: 0.0108 - val_mae: 0.0845 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0032 - mae: 0.0414 - val_loss: 0.0106 - val_mae: 0.0863 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0028 - mae: 0.0388 - val_loss: 0.0067 - val_mae: 0.0643 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0024 - mae: 0.0363 - val_loss: 0.0054 - val_mae: 0.0597 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0022 - mae: 0.0351 - val_loss: 0.0081 - val_mae: 0.0804 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - mae: 0.0332 - val_loss: 0.0067 - val_mae: 0.0731 - learning_rate: 0.0010\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0018 - mae: 0.0313 - val_loss: 0.0050 - val_mae: 0.0616 - learning_rate: 0.0010\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0014 - mae: 0.0282 - val_loss: 0.0069 - val_mae: 0.0757 - learning_rate: 0.0010\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0014 - mae: 0.0280 - val_loss: 0.0051 - val_mae: 0.0640 - learning_rate: 0.0010\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0013 - mae: 0.0259 - val_loss: 0.0055 - val_mae: 0.0667 - learning_rate: 0.0010\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0011 - mae: 0.0238 - val_loss: 0.0051 - val_mae: 0.0638 - learning_rate: 5.0000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0010 - mae: 0.0233 - val_loss: 0.0057 - val_mae: 0.0680 - learning_rate: 5.0000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0010 - mae: 0.0231 - val_loss: 0.0052 - val_mae: 0.0646 - learning_rate: 5.0000e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 9.7733e-04 - mae: 0.0225 - val_loss: 0.0044 - val_mae: 0.0582 - learning_rate: 2.5000e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 9.0450e-04 - mae: 0.0214 - val_loss: 0.0043 - val_mae: 0.0573 - learning_rate: 2.5000e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 9.0316e-04 - mae: 0.0217 - val_loss: 0.0042 - val_mae: 0.0566 - learning_rate: 2.5000e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 8.7417e-04 - mae: 0.0214 - val_loss: 0.0046 - val_mae: 0.0595 - learning_rate: 2.5000e-04\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 8.5711e-04 - mae: 0.0210 - val_loss: 0.0042 - val_mae: 0.0572 - learning_rate: 2.5000e-04\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 8.5462e-04 - mae: 0.0209 - val_loss: 0.0047 - val_mae: 0.0604 - learning_rate: 2.5000e-04\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step - loss: 8.1486e-04 - mae: 0.0205 - val_loss: 0.0034 - val_mae: 0.0488 - learning_rate: 1.2500e-04\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step - loss: 8.2607e-04 - mae: 0.0205 - val_loss: 0.0038 - val_mae: 0.0531 - learning_rate: 1.2500e-04\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 7.5195e-04 - mae: 0.0198 - val_loss: 0.0035 - val_mae: 0.0497 - learning_rate: 1.2500e-04\n", "Epoch 24/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 8.1009e-04 - mae: 0.0204 - val_loss: 0.0033 - val_mae: 0.0481 - learning_rate: 1.2500e-04\n", "Epoch 25/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 36ms/step - loss: 7.9619e-04 - mae: 0.0202 - val_loss: 0.0031 - val_mae: 0.0464 - learning_rate: 6.2500e-05\n", "Epoch 26/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 7.6483e-04 - mae: 0.0198 - val_loss: 0.0032 - val_mae: 0.0469 - learning_rate: 6.2500e-05\n", "Epoch 27/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 7.5898e-04 - mae: 0.0196 - val_loss: 0.0032 - val_mae: 0.0466 - learning_rate: 6.2500e-05\n", "Epoch 28/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 7.4810e-04 - mae: 0.0195 - val_loss: 0.0032 - val_mae: 0.0469 - learning_rate: 6.2500e-05\n", "Epoch 29/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 7.5987e-04 - mae: 0.0198 - val_loss: 0.0033 - val_mae: 0.0484 - learning_rate: 3.1250e-05\n", "Epoch 30/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 7.5354e-04 - mae: 0.0197 - val_loss: 0.0033 - val_mae: 0.0474 - learning_rate: 3.1250e-05\n" ] } ], "source": [ "# call backs\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_GARCH_LSTM.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training the model\n", "history_garch_lstm = garch_lstm_model.fit(\n", " gl_X_train_seq, gl_y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "Fzeb0JGUOWap", "outputId": "590a67ff-bb2f-4dc7-c354-381811eefde0" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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mikgdZXJUx9wSERE5J0lJSfzyyy/lrgsSkYpZsmQJN9xwA1999RW9e/f2dnNEpA7Smi8RkRomLy/P7f2uXbtYtmwZffv29U6DRGqhk/8d2Ww2Zs2aRUREBF27dvVSq0SkrtO0QxGRGqZly5aMGDGCli1bsnfvXl555RUCAgL45z//6e2mlSsvL++MezvFxMS4bdLsbUePHj1tcoiAgAC3jZGl9rn//vvJy8ujV69eFBQUsHjxYjZs2MAzzzxzzlsviIicLU07FBGpYUaOHMnatWtJTU0lMDCQXr168cwzz9TYv9a/+eabjBw58rR11q5dW6NG7po3b+7aBLk8ffr0Yd26ddXXIPG4+fPnM23aNH7//Xfy8/M577zzuPfeexk7dqy3myYidZiCLxEROScpKSn88ssvp63TrVs3oqOjq6lFZ/b111+XmZZWWnR0NN26davGFomISF2g4EtERERERKQaKOGGiIiIiIhINVDCjbNkt9s5dOgQ4eHh2qxRRERERKQOczgcZGVl0bBhQ8zmU49vKfg6S4cOHaJJkybeboaIiIiIiNQQ+/fvp3Hjxqc8ruDrLIWHhwPGFxwREeHVtlitVlauXMmAAQPw9/f3alukaqiP6wb1s+9TH9cN6mffpz6uGyrTz5mZmTRp0sQVI5yKgq+z5JxqGBERUSOCr5CQECIiIvQfAB+lPq4b1M++T31cN6iffZ/6uG44m34+03IkJdwQERERERGpBgq+REREREREqoGCLxERERERkWqgNV8iIiIi4pMcDgdFRUXYbDaPXtdqteLn50d+fr7Hry01h7OfCwoKAPDz8zvnLaYUfImIiIiIzyksLCQlJYXc3FyPX9vhcBAfH8/+/fu136sPc/bzvn37MJlMhISEkJCQQEBAwFlfs0YEX3PmzOH5558nNTWVzp07M2vWLHr06HHK+gsXLuTJJ59kz549tG7dmqlTpzJo0CDX8YkTJ7JgwQL2799PQEAA3bp14+mnn6Znz56uOmlpadx///18/PHHmM1mbrrpJmbOnElYWFiVflYRERERqVp2u53du3djsVho2LAhAQEBHg2S7HY72dnZhIWFnXZDXandnP0cGhpKUVERR48eZffu3bRu3fqs+93rwdcHH3xAcnIyc+fOpWfPnsyYMYPExER27txJgwYNytTfsGEDt912G1OmTOHaa69l/vz5JCUlsWXLFjp06ADA+eefz+zZs2nZsiV5eXm8+OKLDBgwgN9//53Y2FgA7rjjDlJSUli1ahVWq5WRI0cyZswY5s+fX62fX0REREQ8q7CwELvdTpMmTQgJCfH49e12O4WFhQQFBSn48mHOfg4ODsZsNuPv78/evXtdfX82vP7TMn36dEaPHs3IkSNp3749c+fOJSQkhDfeeKPc+jNnzmTgwIE88sgjtGvXjsmTJ9O1a1dmz57tqnP77bfTr18/WrZsyQUXXMD06dPJzMzkxx9/BGD79u0sX76cf//73/Ts2ZNLL72UWbNmsWDBAg4dOlQtn1tEREREqpYCI/EkT/w8eXXkq7CwkM2bNzNu3DhXmdlspl+/fmzcuLHcczZu3EhycrJbWWJiIkuWLDnlPV577TUiIyPp3Lmz6xpRUVF0797dVa9fv36YzWY2bdrEDTfcUOY6BQUFrsV2YOxiDcZCPKvVWrEPXEWc9/d2O6TqqI/rBvWz71Mf1w3qZ++zWq04HA7sdjt2u93j13c4HK7nqri+1Awn97PdbsfhcGC1WrFYLG51K/rv3avB17Fjx7DZbMTFxbmVx8XFsWPHjnLPSU1NLbd+amqqW9knn3zCrbfeSm5uLgkJCaxatYr69eu7rnHylEY/Pz9iYmLKXMdpypQpTJo0qUz5ypUrq2Q4+2ysWrXK202QKqY+rhvUz75PfVw3qJ+9x8/Pj/j4eLKzsyksLKyy+2RlZVXZtaXmcPZzYWEheXl5fPnllxQVFbnVqWhiF6+v+aoqV1xxBdu2bePYsWO8/vrrDB06lE2bNpW7jqwixo0b5zbilpmZSZMmTRgwYAARERGeavZZsVqtrFq1iv79++Pv7+/VtkjVUB/XDepn36c+rhvUz96Xn5/P/v37CQsLO+u1OafjcDjIysoiPDy8xmc7bNmyJQ8++CAPPvhgheqvW7eOq666iuPHjxMVFVVl7XrzzTdJTk4mLS2tyu5xrk7u5/z8fIKDg7n88svL/Fw5Z8WdiVeDr/r162OxWDh8+LBb+eHDh4mPjy/3nPj4+ArVDw0N5bzzzuO8887j4osvpnXr1vznP/9h3LhxxMfHc+TIEbf6RUVFpKWlnfK+gYGBBAYGlin39/evMf9hrUltkaqhPq4b1M++T31cN6ifvcdms2EymTCbzVWy7ss51dB5D084UxA3YcIEJk6cWOnrfvfdd4SGhla4nZdeeikpKSlER0dXaWDpbE9NXpd3cj+bzWZMJlO5/7Yr+m/dq5/WmQZ+zZo1rjK73c6aNWvo1atXuef06tXLrT4Yw/qnql/6us41W7169SI9PZ3Nmze7jn/++efY7Xa3dPQiIiIiItUhJSXF9ZgxYwYRERFuZQ8//LCrrnPz6IqIjY2t1BKZgIAA4uPja/yIXm3l9VAzOTmZ119/nbfeeovt27dz7733kpOTw8iRIwEYNmyYW0KOBx98kOXLlzNt2jR27NjBxIkT+f777xk7diwAOTk5PPbYY3zzzTfs3buXzZs3c/fdd3Pw4EGGDBkCQLt27Rg4cCCjR4/m22+/5euvv2bs2LHceuutNGzYsPq/hHOQkWvlprnfMHmrBbvd4e3miIiIiNRIDoeD3MIijz3yCm0VqudM2nAm8fHxrkdkZCQmk8n1fseOHYSHh/PZZ5/RrVs3AgMD+eqrr/jjjz+4/vrriYuLIywsjIsuuojVq1e7Xbd58+bMmDHD9d5kMvHvf/+bG264gZCQEFq3bs3SpUtdx9etW4fJZCI9PR0wpgdGRUWxYsUK2rVrR1hYGAMHDiQlJcV1TlFREQ888ABRUVHUq1ePRx99lOHDh5OUlFSpPnrllVdo1aoVAQEBtGnThnfeecet/yZOnEjTpk0JDAykYcOGPPDAA67jL7/8Mq1btyYoKIi4uDhuvvnmSt27unh9zdctt9zC0aNHGT9+PKmpqXTp0oXly5e7kmrs27fPbTjykksuYf78+TzxxBM89thjtG7dmiVLlrj2+LJYLOzYsYO33nqLY8eOUa9ePS666CLWr1/PBRdc4LrOe++9x9ixY7nqqqtcmyy/9NJL1fvhPSA4wMKPBzMBE5n5RcQGnv2O2yIiIiK+Ks9qo/34FdV+31+fSiQkwDO/cv/f//0fL7zwAi1btiQ6Opr9+/czaNAgnn76aQIDA3n77bcZPHgwO3fupGnTpqe8zqRJk3juued4/vnnmTVrFnfccQd79+4lJiam3Pq5ubm88MILvPPOO5jNZu68804efvhh3nvvPQCmTp3Ke++9x7x582jXrh0zZ85kyZIlXHHFFRX+bB999BEPPvggM2bMoF+/fnzyySeMHDmSxo0bc8UVV/Dhhx/y4osvsmDBAi644AJSU1P54YcfAPj+++954IEHeOedd7jkkktIS0tj/fr1lfhmq4/Xgy+AsWPHukauTrZu3boyZUOGDHGNYp0sKCiIxYsXn/GeMTExPrGhcoCfmdBACzkFNk7kFhIbWTMyL4qIiIiIZz311FP079/f9T4mJsa1lRLA5MmT+eijj1i6dOkpf7cGGDFiBLfddhsAzzzzDC+99BLffvstAwcOLLe+1Wpl7ty5tGrVCjB+d3/qqadcx2fNmsW4ceNc2zXNnj2bZcuWVeqzvfDCC4wYMYL77rsPMGbHffPNN7zwwgtcccUV7Nu3j/j4ePr164e/vz9NmzalR48egDFYExoayrXXXkt4eDjNmjXjwgsvrNT9q0uNCL7k3ESHBJBTkEd6rvYTERERESlPsL+FX59K9Mi17HY7WZlZhEeEnzFhRLC/5bTHK6P0HrUA2dnZTJw4kU8//ZSUlBSKiorIy8tj3759p71Op06dXK9DQ0OJiIgok4yutJCQEFfgBZCQkOCqn5GRweHDh12BEBgz0bp161apPdC2b9/OmDFj3Mp69+7NzJkzAWPwZcaMGbRs2ZKBAwcyaNAgBg8ejJ+fH/3796dZs2auYwMHDnRNq6xpvL7mS85ddIiRXSUtt+r2sRARERGpzUwmEyEBfh57BAdYKlTPk4krQkND3d4//PDDfPTRRzzzzDOsX7+ebdu20bFjxzPubXZyZj6TyXTaQKm8+hVdy+YpTZo0YefOnbz88ssEBwdz3333cfnll2O1WgkPD2fLli28//77JCQkMH78eDp37uxat1aTKPjyAc7gSyNfIiIiInXH119/zYgRI7jhhhvo2LEj8fHx7Nmzp1rbEBkZSVxcHN99952rzGazsWXLlkpdp127dnz99dduZV9//TXt27d3vQ8ODmbw4MG89NJLrFu3jo0bN/LTTz8Bxsba/fr147nnnuPHH39kz549fP755+fwyaqGph36gKhgI8nGCQVfIiIiInVG69atWbx4MYMHD8ZkMvHkk09Waqqfp9x///1MmTKF8847j7Zt2zJr1ixOnDhRqVG/Rx55hKFDh3LhhRfSr18/Pv74YxYvXuzK3vjmm29is9no2bMnISEhvPvuuwQHB9OsWTM++eQT/vzzTy6//HKio6NZtmwZdrudNm3aVNVHPmsKvnxAdKhGvkRERETqmunTp3P33XdzySWXUL9+fR599FEyMzOrvR2PPvooqampDBs2DIvFwpgxY0hMTMRiqfh6t6SkJGbOnMkLL7zAgw8+SIsWLZg3bx59+/YFICoqimeffZbk5GRsNhsdO3bk448/pl69ekRFRbF48WImTpxIfn4+rVu35v3333fLdF5TmBzVPWHTR2RmZhIZGUlGRgYRERFebcuLK3cw8/M/GNqtEc8N6eLVtkjVsFqtLFu2jEGDBlV4B3WpfdTPvk99XDeon70vPz+f3bt306JFC4KCgjx+fbvdTmZmJhEREWdMuFEX2e122rVrx9ChQ5k8ebK3m3PWTu7n0/1cVTQ20MiXD4gO1bRDEREREfGOvXv3snLlSvr06UNBQQGzZ89m9+7d3H777d5uWo2jUN0HxBQn3DihbIciIiIiUs3MZjNvvvkmF110Eb179+ann35i9erVtGvXzttNq3E08uUDolzBl0a+RERERKR6NWnSpEymQimfRr58QHSIMe1QCTdERERERGouBV8+wDnylZ5nrfYN70REREREpGIUfPmA6GAj+LLZHWTmF3m5NSIiIiIiUh4FXz4g0N9CgNkY8TqRo6QbIiIiIiI1kYIvHxFWvI2IMh6KiIiIiNRMCr58RGhx3koFXyIiIiIiNZOCLx8R6mdMO0zLUcZDERERkbqqb9++/P3vf3e9b968OTNmzDjtOSaTiSVLlpzzvT11ndOZOHEiXbp0qdJ7VCUFXz4itHjaYbpGvkRERERqncGDBzNw4MByj61fvx6TycSPP/5Y6et+9913jBkz5lyb5+ZUAVBKSgpXX321R+/laxR8+QjntMM0JdwQERERqXVGjRrFqlWrOHDgQJlj8+bNo3v37nTq1KnS142NjSUkJMQTTTyj+Ph4AgMDq+VetZWCLx/hnHZ4Qhsti4iIiJTlcEBhjuce1tyK1avgHqzXXnstsbGxvPnmm27l2dnZLFy4kFGjRnH8+HFuu+02GjVqREhICB07duT9998/7XVPnna4a9cuLr/8coKCgmjfvj2rVq0qc86jjz7K+eefT0hICC1btuTJJ5/EajV+x3zzzTeZNGkSP/zwAyaTCZPJ5GrzydMOf/rpJ6688kqCg4OpV68eY8aMITs723V8xIgRJCUl8cILL5CQkEC9evX429/+5rpXRdjtdp566ikaN25MYGAgXbp0Yfny5a7jhYWFjB07loSEBIKCgmjWrBlTpkwBwOFwMHHiRJo2bUpgYCANGzbkgQceqPC9z4ZflV5dqo1z2qFSzYuIiIiUw5oLzzT0yKXMQFRFKz92CAJCz1jNz8+PYcOG8eabb/L4449jMpkAWLhwITabjdtuu43s7Gy6devGo48+SkREBJ9++il33XUXrVq1okePHme8h91u58YbbyQuLo5NmzaRkZHhtj7MKTw8nDfffJOGDRvy008/MXr0aMLDw/nnP//JLbfcws8//8zy5ctZvXo1AJGRkWWukZOTQ2JiIr169eK7777jyJEj/OUvf2Hs2LFuAebatWtJSEhg7dq1/P7779xyyy106dKF0aNHn/HzAMycOZNp06bx6quvcuGFF/LGG29w3XXX8csvv9C6dWteeuklli5dyn//+1+aNm3K/v372b9/PwAffvghL774IgsWLOCCCy4gNTWVH374oUL3PVsKvnyEsh2KiIiI1G533303zz//PF988QV9+/YFjCmHN910E5GRkURGRvLwww+76t9///2sWLGC//73vxUKvlavXs2OHTtYsWIFDRsagegzzzxTZp3WE0884XrdvHlzHn74YRYsWMA///lPgoODCQsLw8/Pj/j4+FPea/78+eTn5/P2228TGmoEn7Nnz2bw4MFMnTqVuLg4AKKjo5k9ezYWi4W2bdtyzTXXsGbNmgoHXy+88AKPPvoot956KwBTp05l7dq1zJgxgzlz5rBv3z5at27NpZdeislkolmzZq5z9+3bR3x8PP369cPf35+mTZtW6Hs8Fwq+fIRr5EvBl4iIiEhZ/iHGKJQH2O12MrOyiAgPx2w+wyoe/4qvt2rbti2XXHIJb7zxBn379uX3339n/fr1PPXUUwDYbDaeeeYZ/vvf/3Lw4EEKCwspKCio8Jqu7du306RJE1fgBdCrV68y9T744ANeeukl/vjjD7KzsykqKiIiIqLCn8N5r86dO7sCL4DevXtjt9vZuXOnK/i64IILsFgsrjoJCQn89NNPFbpHZmYmhw4donfv3m7lvXv3do1gjRgxgv79+9OmTRsGDhzItddey4ABAwAYMmQIM2bMoGXLlgwcOJBBgwYxePBg/PyqLkTSmi8foVTzIiIiIqdhMhnT/zz18A+pWL3i6YMVNWrUKD788EOysrKYN28erVq1ok+fPgA8//zzzJw5k0cffZS1a9eybds2EhMTKSz03B/fN27cyB133MGgQYP45JNP2Lp1K48//rhH71Gav7+/23uTyYTdbvfY9bt27cru3buZPHkyeXl5DB06lJtvvhmAJk2asHPnTl5++WWCg4O57777uPzyyyu15qyyFHz5iLDiAD09txBHBRd2ioiIiEjNMnToUMxmM/Pnz+ftt9/m7rvvdq3/+vrrr7n++uu588476dy5My1btuS3336r8LXbtWvH/v37SUlJcZV98803bnU2bNhAs2bNePzxx+nevTutW7dm7969bnUCAgKw2WxnvNcPP/xATk6Oq+zrr7/GbDbTpk2bCrf5dCIiImjYsCFff/21W/nXX39N+/bt3erdcsstvP7663zwwQd8+OGHpKWlARAcHMzgwYN56aWXWLduHRs3bqzwyNvZ0LRDHxFS3JNFdgdZBUVEBPmf/gQRERERqXHCwsK45ZZbGDduHJmZmYwYMcJ1rHXr1ixatIgNGzYQHR3N9OnTOXz4sFugcTr9+vXj/PPPZ/jw4Tz//PNkZmby+OOPu9Vp3bo1+/btY8GCBVx00UV8+umnfPTRR251mjdvzu7du9m2bRuNGzcmPDy8TIr5O+64gwkTJjB8+HAmTpzI0aNHuf/++7nrrrtcUw494ZFHHmHChAm0atWKLl26MG/ePLZt28Z7770HwPTp00lISODCCy/EbDazcOFC4uPjiYqK4s0338Rms9GzZ09CQkJ49913CQ4OdlsX5mka+fIRARYI9je6M11TD0VERERqrVGjRnHixAkSExPd1mc98cQTdO3alcTERPr27Ut8fDxJSUkVvq7ZbOajjz4iLy+PHj168Je//IWnn37arc51113HQw89xNixY+nSpQsbNmzgySefdKtz0003MXDgQK644gpiY2PLTXcfEhLCihUrSEtL46KLLuLmm2/mqquuYvbs2ZX7Ms7ggQceIDk5mX/84x907NiR5cuXs3TpUlq3bg0YmRufe+45unfvzkUXXcSePXtYtmwZZrOZqKgoXn/9dXr37k2nTp1YvXo1H3/8MfXq1fNoG0szOTRH7axkZmYSGRlJRkZGpRcgeprVamXZsmU8+2sYKRn5LPlbb7o0ifJqm8SznH08aNCgMnOjxXeon32f+rhuUD97X35+Prt376ZFixYEBQV5/Pp2u53MzEwiIiLOnHBDaq2T+/l0P1cVjQ300+JDokOM/8Ar46GIiIiISM2j4MuHRDmDL220LCIiIiJS4yj48iHRIQEApCn4EhERERGpcRR8+ZCY4pGv9Fwl3BARERERqWkUfPkQ57TDNK35EhEREdHep+JRnvh5UvDlQ5zTDtMVfImIiEgd5swymZub6+WWiC9x/jydSxZTbbLsQ1wjX1rzJSIiInWYxWIhKiqKI0eOAMaeUyaTyWPXt9vtFBYWkp+fr1TzPszZz3l5eeTn53PkyBGioqKwWCxnfU0FXz6kZORLa75ERESkbouPjwdwBWCe5HA4yMvLIzg42KNBndQsJ/dzVFSU6+fqbCn48iHRGvkSERERAcBkMpGQkECDBg2wWj37h2mr1cqXX37J5Zdfro20fZizn/v06UNwcPA5jXg5KfjyIaU3WXY4HPpLjIiIiNR5FovFI780n3zNoqIigoKCFHz5MGc/BwYGeuxnSJNUfYhz2qHV5iCn0Obl1oiIiIiISGkKvnxIcICFQD+jS09o6qGIiIiISI2i4MvHxIQao18nlG5eRERERKRGUfDlY6KKpx4q6YaIiIiISM2i4MvHxIQaiz6Vbl5EREREpGZR8OVjNPIlIiIiIlIzKfjyMTGujZYVfImIiIiI1CQKvnxMdHHCjTQFXyIiIiIiNYqCLx/j2mg5R2u+RERERERqEgVfPkap5kVEREREaiYFXz5GCTdERERERGomBV8+piThhqYdioiIiIjUJAq+fExU8ZqvtNxCHA6Hl1sjIiIiIiJONSL4mjNnDs2bNycoKIiePXvy7bffnrb+woULadu2LUFBQXTs2JFly5a5jlmtVh599FE6duxIaGgoDRs2ZNiwYRw6dMjtGs2bN8dkMrk9nn322Sr5fNXJuearsMhOntXm5daIiIiIiIiT14OvDz74gOTkZCZMmMCWLVvo3LkziYmJHDlypNz6GzZs4LbbbmPUqFFs3bqVpKQkkpKS+PnnnwHIzc1ly5YtPPnkk2zZsoXFixezc+dOrrvuujLXeuqpp0hJSXE97r///ir9rNUhJMBCgJ/RrVr3JSIiIiJSc/h5uwHTp09n9OjRjBw5EoC5c+fy6aef8sYbb/B///d/ZerPnDmTgQMH8sgjjwAwefJkVq1axezZs5k7dy6RkZGsWrXK7ZzZs2fTo0cP9u3bR9OmTV3l4eHhxMfHV6idBQUFFBQUuN5nZmYCxkib1erd9VXO+zufo4P9OZxVwNGMPOLC/L3ZNPGQk/tYfJP62fepj+sG9bPvUx/XDZXp54r+LJgcXlwYVFhYSEhICIsWLSIpKclVPnz4cNLT0/nf//5X5pymTZuSnJzM3//+d1fZhAkTWLJkCT/88EO591m9ejUDBgwgPT2diIgIwJh2mJ+fj9VqpWnTptx+++089NBD+PmVH49OnDiRSZMmlSmfP38+ISEhlfjUVW/qDxYO5Zq4t52NtlFa9yUiIiIiUpVyc3O5/fbbycjIcMUb5fHqyNexY8ew2WzExcW5lcfFxbFjx45yz0lNTS23fmpqarn18/PzefTRR7ntttvcvogHHniArl27EhMTw4YNGxg3bhwpKSlMnz693OuMGzeO5ORk1/vMzEyaNGnCgAEDTvsFVwer1cqqVavo378//v7+vJ/6HYd2n+C8C7owqHOCV9smnnFyH4tvUj/7PvVx3aB+9n3q47qhMv3snBV3Jl6fdliVrFYrQ4cOxeFw8Morr7gdKx1IderUiYCAAO655x6mTJlCYGBgmWsFBgaWW+7v719j/tE521IvLAiArAJbjWmbeEZN+nmTqqN+9n3q47pB/ez71Md1Q0X6uaI/B15NuFG/fn0sFguHDx92Kz98+PAp12LFx8dXqL4z8Nq7dy+rVq064+hUz549KSoqYs+ePZX/IDVMSbp5zUMWEREREakpvBp8BQQE0K1bN9asWeMqs9vtrFmzhl69epV7Tq9evdzqA6xatcqtvjPw2rVrF6tXr6ZevXpnbMu2bdswm800aNDgLD9NzeFMN5+eq2yHIiIiIiI1hdenHSYnJzN8+HC6d+9Ojx49mDFjBjk5Oa7sh8OGDaNRo0ZMmTIFgAcffJA+ffowbdo0rrnmGhYsWMD333/Pa6+9BhiB180338yWLVv45JNPsNlsrvVgMTExBAQEsHHjRjZt2sQVV1xBeHg4Gzdu5KGHHuLOO+8kOjraO1+EB0WFGMGXUs2LiIiIiNQcXg++brnlFo4ePcr48eNJTU2lS5cuLF++3JVUY9++fZjNJQN0l1xyCfPnz+eJJ57gscceo3Xr1ixZsoQOHToAcPDgQZYuXQpAly5d3O61du1a+vbtS2BgIAsWLGDixIkUFBTQokULHnroIbd1YLVZTKgx7fCERr5ERERERGoMrwdfAGPHjmXs2LHlHlu3bl2ZsiFDhjBkyJBy6zdv3pwzZc/v2rUr33zzTaXbWVtEF498ncjRmi8RERERkZrCq2u+pGq4gi+NfImIiIiI1BgKvnyQM+GGgi8RERERkZpDwZcPcqaaz7faySu0ebk1IiIiIiICCr58UligH/4WE6DRLxERERGRmkLBlw8ymUxKNy8iIiIiUsMo+PJRMUq6ISIiIiJSoyj48lHRrr2+lG5eRERERKQmUPDlo0r2+tLIl4iIiIhITaDgy0dFK928iIiIiEiNouDLR0UXp5vXyJeIiIiISM2g4MtHuaYdas2XiIiIiEiNoODLR0Ur26GIiIiISI2i4MtHxWjNl4iIiIhIjaLgy0e5Em7kaNqhiIiIiEhNoODLRzkTbqQp4YaIiIiISI2g4MtHOUe+8qw28q02L7dGREREREQUfPmo8EA//MwmQOu+RERERERqAgVfPspkMhEVonVfIiIiIiI1hYIvH+baaFkjXyIiIiIiXqfgy4dFK928iIiIiEiNoeDLh8W4ph0q+BIRERER8TYFXz4sOtSZbl5rvkREREREvE3Blw+LDtG0QxERERGRmkLBlw9T8CUiIiIiUnMo+PJhJQk3NO1QRERERMTbFHz5MFeqeSXcEBERERHxOgVfPkyp5kVEREREag4FXz4sWqnmRURERERqDAVfPsy5z1dOoY2CIpuXWyMiIiIiUrcp+PJh4UF+WMwmANKVdENERERExKsUfPkws9lEVLBzo2VNPRQRERER8SYFXz5OSTdERERERGoGBV8+riTdvKYdioiIiIh4k4IvH+fKeKiRLxERERERr1Lw5eOUbl5EREREpGZQ8OXjStZ8adqhiIiIiIg3KfjycTGhxWu+NO1QRERERMSrFHz5uKjiaYdKNS8iIiIi4l0KvnxcTHHwla6RLxERERERr1Lw5eOii6cdpin4EhERERHxKgVfPs6Z7TBd+3yJiIiIiHiVgi8f5wy+sgqKKCyye7k1IiIiIiJ1l4IvHxcR7I/ZZLxOz9PUQxERERERb1Hw5eMsZpMr4+EJTT0UEREREfEaBV91QFRIcdINpZsXEREREfEaBV91gNLNi4iIiIh4n4KvOsC10bKCLxERERERr1HwVQfEFO/1lZ6rNV8iIiIiIt6i4KsOcKab15ovERERERHvqRHB15w5c2jevDlBQUH07NmTb7/99rT1Fy5cSNu2bQkKCqJjx44sW7bMdcxqtfLoo4/SsWNHQkNDadiwIcOGDePQoUNu10hLS+OOO+4gIiKCqKgoRo0aRXZ2dpV8Pm+LDi3OdqhphyIiIiIiXnNWwZfVamX//v3s3LmTtLS0c2rABx98QHJyMhMmTGDLli107tyZxMREjhw5Um79DRs2cNtttzFq1Ci2bt1KUlISSUlJ/PzzzwDk5uayZcsWnnzySbZs2cLixYvZuXMn1113ndt17rjjDn755RdWrVrFJ598wpdffsmYMWPO6bPUVNHF2Q5PaORLRERERMRrKhx8ZWVl8corr9CnTx8iIiJo3rw57dq1IzY2lmbNmjF69Gi+++67Sjdg+vTpjB49mpEjR9K+fXvmzp1LSEgIb7zxRrn1Z86cycCBA3nkkUdo164dkydPpmvXrsyePRuAyMhIVq1axdChQ2nTpg0XX3wxs2fPZvPmzezbtw+A7du3s3z5cv7973/Ts2dPLr30UmbNmsWCBQvKjJD5Ate0Q635EhERERHxGr+KVJo+fTpPP/00rVq1YvDgwTz22GM0bNiQ4OBg0tLS+Pnnn1m/fj0DBgygZ8+ezJo1i9atW5/xuoWFhWzevJlx48a5ysxmM/369WPjxo3lnrNx40aSk5PdyhITE1myZMkp75ORkYHJZCIqKsp1jaioKLp37+6q069fP8xmM5s2beKGG24oc42CggIKCgpc7zMzMwFjFNBq9W5Q47z/qdoREWjE2CdyCrzeVjk7Z+pj8Q3qZ9+nPq4b1M++T31cN1Smnyv6s1Ch4Ou7777jyy+/5IILLij3eI8ePbj77ruZO3cu8+bNY/369RUKvo4dO4bNZiMuLs6tPC4ujh07dpR7Tmpqarn1U1NTy62fn5/Po48+ym233UZERITrGg0aNHCr5+fnR0xMzCmvM2XKFCZNmlSmfOXKlYSEhJT/AavZqlWryi0/nAfgx9GMXLf1cVL7nKqPxbeon32f+rhuUD/7PvVx3VCRfs7Nza3QtSoUfL3//vsVulhgYCB//etfK1S3OlitVoYOHYrD4eCVV145p2uNGzfObcQtMzOTJk2aMGDAAFdQ5y1Wq5VVq1bRv39//P39yxxPyynkmW3ryLOZ6J84EH9LjcizIpVwpj4W36B+9n3q47pB/ez71Md1Q2X62Tkr7kwqFHxVlfr162OxWDh8+LBb+eHDh4mPjy/3nPj4+ArVdwZee/fu5fPPP3cLkOLj48sk9CgqKiItLe2U9w0MDCQwMLBMub+/f435R3eqttSP8MNkAocDcqwQG1Qz2iuVV5N+3qTqqJ99n/q4blA/+z71cd1QkX6u6M9BhYKvG2+8sUIXA1i8eHGF6wYEBNCtWzfWrFlDUlISAHa7nTVr1jB27Nhyz+nVqxdr1qzh73//u6ts1apV9OrVy/XeGXjt2rWLtWvXUq9evTLXSE9PZ/PmzXTr1g2Azz//HLvdTs+ePSvc/trCYjYRGexPeq6V9NxCYsPLBpEiIiIiIlK1KhR8RUZGul47HA4++ugjIiMjXQkrNm/eTHp6eqWCNKfk5GSGDx9O9+7d6dGjBzNmzCAnJ4eRI0cCMGzYMBo1asSUKVMAePDBB+nTpw/Tpk3jmmuuYcGCBXz//fe89tprgBF43XzzzWzZsoVPPvkEm83mWscVExNDQEAA7dq1Y+DAgYwePZq5c+ditVoZO3Yst956Kw0bNqz0Z6gNokMCSM+1aqNlEREREREvqVDwNW/ePNfrRx99lKFDhzJ37lwsFgsANpuN++6776zWPt1yyy0cPXqU8ePHk5qaSpcuXVi+fLkrqca+ffswm0vWKF1yySXMnz+fJ554gscee4zWrVuzZMkSOnToAMDBgwdZunQpAF26dHG719q1a+nbty8A7733HmPHjuWqq67CbDZz00038dJLL1W6/bVFdIg/u9FGyyIiIiIi3lLpNV9vvPEGX331lSvwArBYLCQnJ3PJJZfw/PPPV7oRY8eOPeU0w3Xr1pUpGzJkCEOGDCm3fvPmzXE4HGe8Z0xMDPPnz69UO2uzmFBjr68T2utLRERERMQrKp32rqioqNw08Dt27MBut3ukUeJ5Uc6NljXtUERERETEKyo98jVy5EhGjRrFH3/8QY8ePQDYtGkTzz77rGudltQ8zpGvdE07FBERERHxikoHXy+88ALx8fFMmzaNlJQUABISEnjkkUf4xz/+4fEGimdEhRjpL9NyNO1QRERERMQbKh18mc1m/vnPf/LPf/7TtZmYtzcZljOLCdHIl4iIiIiIN1V6zRcY675Wr17N+++/j8lkAuDQoUNkZ2d7tHHiOa41Xwq+RERERES8otIjX3v37mXgwIHs27ePgoIC+vfvT3h4OFOnTqWgoIC5c+dWRTvlHJWs+dK0QxERERERb6j0yNeDDz5I9+7dOXHiBMHBwa7yG264gTVr1ni0ceI5MaHONV8a+RIRERER8YZKj3ytX7+eDRs2EBAQ4FbevHlzDh486LGGiWc5px1m5Fkpstnxs5zVjFMRERERETlLlf4N3G63Y7PZypQfOHCA8PBwjzRKPC8q2N/1OiNPUw9FRERERKpbpYOvAQMGMGPGDNd7k8lEdnY2EyZMYNCgQZ5sm3iQn8VMRJAx0HlCSTdERERERKpdpacdTps2jcTERNq3b09+fj633347u3bton79+rz//vtV0UbxkJjQADLzizihpBsiIiIiItWu0sFX48aN+eGHH1iwYAE//vgj2dnZjBo1ijvuuMMtAYfUPFEhAXA8V0k3RERERES8oNLBF4Cfnx933nmnp9siVawk3byCLxERERGR6lah4Gvp0qUVvuB111131o2RqhXt3Gg5R9MORURERESqW4WCr6SkpApdzGQylZsJUWqG6BAj46ESboiIiIiIVL8KBV92u72q2yHVILp42uEJrfkSEREREal22mm3DnFOO9TIl4iIiIhI9TurhBs5OTl88cUX7Nu3j8JC91/kH3jgAY80TDwvJtQ57VBrvkREREREqlulg6+tW7cyaNAgcnNzycnJISYmhmPHjhESEkKDBg0UfNVgUSGadigiIiIi4i2Vnnb40EMPMXjwYE6cOEFwcDDffPMNe/fupVu3brzwwgtV0UbxEGeqeU07FBERERGpfpUOvrZt28Y//vEPzGYzFouFgoICmjRpwnPPPcdjjz1WFW0UD4kqznaYnmfFZnd4uTUiIiIiInVLpYMvf39/zGbjtAYNGrBv3z4AIiMj2b9/v2dbJx7lTLjhcEBGntZ9iYiIiIhUp0qv+brwwgv57rvvaN26NX369GH8+PEcO3aMd955hw4dOlRFG8VD/C1mwoP8yMov4kRuoWsaooiIiIiIVL1Kj3w988wzJCQkAPD0008THR3Nvffey9GjR3n11Vc93kDxrGgl3RARERER8YpKj3x1797d9bpBgwYsX77cow2SqhUdGsC+tFylmxcRERERqWaVHvnavXs3u3btKlO+a9cu9uzZ44k2SRWKLk66oZEvEREREZHqVenga8SIEWzYsKFM+aZNmxgxYoQn2iRVKCZE6eZFRERERLyh0sHX1q1b6d27d5nyiy++mG3btnmiTVKFnBstpyn4EhERERGpVpUOvkwmE1lZWWXKMzIysNlsHmmUVJ2YUE07FBERERHxhkoHX5dffjlTpkxxC7RsNhtTpkzh0ksv9WjjxPOiQ53TDpVwQ0RERESkOlU62+HUqVO5/PLLadOmDZdddhkA69evJzMzk88//9zjDRTPUqp5ERERERHvqPTIV/v27fnxxx8ZOnQoR44cISsri2HDhrFjxw5tslwLRCvhhoiIiIiIV1R65AugYcOGPPPMM55ui1SDaOeaL007FBERERGpVpUe+Vq+fDlfffWV6/2cOXPo0qULt99+OydOnPBo48TznKnm03MLsdsdXm6NiIiIiEjdUeng65FHHiEzMxOAn376ieTkZAYNGsTu3btJTk72eAPFs5yp5u0OyMzX6JeIiIiISHWp9LTD3bt30759ewA+/PBDBg8ezDPPPMOWLVsYNGiQxxsonhXgZyYs0I/sgiJO5FpdwZiIiIiIiFStSo98BQQEkJubC8Dq1asZMGAAADExMa4RManZnOu+0pTxUERERESk2lR65OvSSy8lOTmZ3r178+233/LBBx8A8Ntvv9G4cWOPN1A8LzokgP1peUo3LyIiIiJSjSo98jV79mz8/PxYtGgRr7zyCo0aNQLgs88+Y+DAgR5voHie0s2LiIiIiFS/So98NW3alE8++aRM+YsvvuiRBknViw5xpptX8CUiIiIiUl0qPfIltV90qHPkS9kORURERESqi4KvOsg17VBrvkREREREqo2CrzqoZORLwZeIiIiISHVR8FUHudZ85WjaoYiIiIhIdVHwVQfFFE87TNPIl4iIiIhItfFo8HX33XfzzjvvePKSUgWc0w7TFXyJiIiIiFQbjwZff/75J08++SRdunTx5GXFw0r2+bLicDi83BoRERERkbqh0vt8nc66desA+PXXXz15WfGwqOI1Xza7g8z8IiKD/b3cIhERERER31cla77at29fFZcVDwnytxASYAGUbl5EREREpLpUOPi67777yM7Odr1///33ycnJcb1PT09n0KBBnm2dVJmSqYcKvkREREREqkOFg69XX32V3Nxc1/t77rmHw4cPu94XFBSwYsWKSjdgzpw5NG/enKCgIHr27Mm333572voLFy6kbdu2BAUF0bFjR5YtW+Z2fPHixQwYMIB69ephMpnYtm1bmWv07dsXk8nk9vjrX/9a6bbXZtGhxenmFXyJiIiIiFSLCgdfJydm8ESihg8++IDk5GQmTJjAli1b6Ny5M4mJiRw5cqTc+hs2bOC2225j1KhRbN26laSkJJKSkvj5559ddXJycrj00kuZOnXqae89evRoUlJSXI/nnnvunD9PbeIc+UrTXl8iIiIiItXCq/t8TZ8+ndGjRzNy5Ejat2/P3LlzCQkJ4Y033ii3/syZMxk4cCCPPPII7dq1Y/LkyXTt2pXZs2e76tx1112MHz+efv36nfbeISEhxMfHux4REREe/Ww1XYzSzYuIiIiIVCuPZjusjMLCQjZv3sy4ceNcZWazmX79+rFx48Zyz9m4cSPJycluZYmJiSxZsqTS93/vvfd49913iY+PZ/DgwTz55JOEhIScsn5BQQEFBQWu95mZmQBYrVasVu+OHjnvX5l2RAQZXX8sK9/r7ZczO5s+ltpH/ez71Md1g/rZ96mP64bK9HNFfxYqFXyNHz/eFaAUFhby9NNPExkZCeC2Hqwijh07hs1mIy4uzq08Li6OHTt2lHtOampqufVTU1Mrde/bb7+dZs2a0bBhQ3788UceffRRdu7cyeLFi095zpQpU5g0aVKZ8pUrV542aKtOq1atqnDdYwdMgIUfd/zBMuuuqmuUeFRl+lhqL/Wz71Mf1w3qZ9+nPq4bKtLPFY2FKhx8XX755ezcudP1/pJLLuHPP/8sU6c2GDNmjOt1x44dSUhI4KqrruKPP/6gVatW5Z4zbtw4t1G3zMxMmjRpwoABA7w+ZdFqtbJq1Sr69++Pv3/F9uxK27SPzw7sIKx+PIMGdanaBso5O5s+ltpH/ez71Md1g/rZ96mP64bK9LNzVtyZVDj4cm6g7Cn169fHYrG4ZUwEOHz4MPHx8eWeEx8fX6n6FdWzZ08Afv/991MGX4GBgQQGBpYp9/f3rzH/6CrTlvrhwQBk5BXVmPbLmdWknzepOupn36c+rhvUz75PfVw3VKSfK/pzcM4JN4qKitz2/6qogIAAunXrxpo1a1xldrudNWvW0KtXr3LP6dWrl1t9MIYBT1W/opzp6BMSEs7pOrWJ9vkSEREREaleFQ6+Pv74Y9588023sqeffpqwsDCioqIYMGAAJ06cqNTNk5OTef3113nrrbfYvn079957Lzk5OYwcORKAYcOGuSXkePDBB1m+fDnTpk1jx44dTJw4ke+//56xY8e66qSlpbFt2zZ+/fVXAHbu3Mm2bdtc68L++OMPJk+ezObNm9mzZw9Lly5l2LBhXH755XTq1KlS7a/NnPt8KdW8iIiIiEj1qHDwNX36dHJyclzvN2zYwPjx43nyySf573//y/79+5k8eXKlbn7LLbfwwgsvMH78eLp06cK2bdtYvny5K6nGvn37SElJcdW/5JJLmD9/Pq+99hqdO3dm0aJFLFmyhA4dOrjqLF26lAsvvJBrrrkGgFtvvZULL7yQuXPnAsaI2+rVqxkwYABt27blH//4BzfddBMff/xxpdpe25VONe+JPdtEREREROT0Krzm65dffmH69Omu94sWLaJ///48/vjjAAQFBfHggw+61amIsWPHuo1clVbeOrMhQ4YwZMiQU15vxIgRjBgx4pTHmzRpwhdffFGpNvoi57TDIruDrIIiIoI0X1lEREREpCpVeOQrKyuLevXqud5/9dVXXHXVVa73F1xwAYcOHfJs66TKBPlbCPa3AJCuqYciIiIiIlWuwsFXo0aN2L59OwDZ2dn88MMPXHLJJa7jx48frzH7XUnFRIcUr/tS0g0RERERkSpX4eBryJAh/P3vf+edd95h9OjRxMfHc/HFF7uOf//997Rp06ZKGilVIzpUGQ9FRERERKpLhdd8jR8/noMHD/LAAw8QHx/Pu+++i8VicR1///33GTx4cJU0UqqGK918joIvEREREZGqVuHgKzg4mLfffvuUx9euXeuRBkn1KRn50povEREREZGqds6bLEvtFVO85ksjXyIiIiIiVa/CI19XXnllhep9/vnnZ90YqV5RxdMOlXBDRERERKTqVTj4WrduHc2aNeOaa67B3197QvmC0hsti4iIiIhI1apw8DV16lTmzZvHwoULueOOO7j77rvp0KFDVbZNqliUM9W8ph2KiIiIiFS5Cq/5euSRR/j1119ZsmQJWVlZ9O7dmx49ejB37lwyMzOrso1SRUpGvpRwQ0RERESkqlU64UavXr14/fXXSUlJ4W9/+xtvvPEGDRs2VABWCzlTzWvkS0RERESk6p11tsMtW7bwxRdfsH37djp06KB1YLVQdKmRL4fD4eXWiIiIiIj4tkoFX4cOHeKZZ57h/PPP5+abbyYmJoZNmzbxzTffEBwcXFVtlCoSXbzmq9BmJ6fQ5uXWiIiIiIj4tgon3Bg0aBBr165lwIABPP/881xzzTX4+VX4dKmBgv0tBPqZKSiycyKnkLBA9aeIiIiISFWp8G/by5cvJyEhgX379jFp0iQmTZpUbr0tW7Z4rHFStUwmEzGhAaRk5HMit5AmMSHebpKIiIiIiM+qcPA1YcKEqmyHeElUiBF8KemGiIiIiEjVUvBVx8WEGuu+lG5eRERERKRqnXW2Q/ENUUo3LyIiIiJSLSoUfA0cOJBvvvnmjPWysrKYOnUqc+bMOeeGSfWICXGmm1fwJSIiIiJSlSo07XDIkCHcdNNNREZGMnjwYLp3707Dhg0JCgrixIkT/Prrr3z11VcsW7aMa665hueff76q2y0e4kw3n6bgS0RERESkSlUo+Bo1ahR33nknCxcu5IMPPuC1114jIyMDMDLmtW/fnsTERL777jvatWtXpQ0Wz3JutHwiR2u+RERERESqUoUTbgQGBnLnnXdy5513ApCRkUFeXh716tXD39+/yhooVSvGGXxp5EtEREREpEqd9a66kZGRREZGerIt4gVKuCEiIiIiUj2U7bCOK0m4oWmHIiIiIiJVScFXHRdVKuGGw+HwcmtERERERHyXgq86zrnmq7DITp7V5uXWiIiIiIj4LgVfdVxIgIUAi/FjoHVfIiIiIiJVp9LB1/79+zlw4IDr/bfffsvf//53XnvtNY82TKqHyWQiOtSYeqh1XyIiIiIiVafSwdftt9/O2rVrAUhNTaV///58++23PP744zz11FMeb6BUvWhlPBQRERERqXKVDr5+/vlnevToAcB///tfOnTowIYNG3jvvfd48803Pd0+qQbO4Et7fYmIiIiIVJ1KB19Wq5XAwEAAVq9ezXXXXQdA27ZtSUlJ8WzrpFq4NlrWyJeIiIiISJWpdPB1wQUXMHfuXNavX8+qVasYOHAgAIcOHaJevXoeb6BUvZJ081rzJSIiIiJSVSodfE2dOpVXX32Vvn37ctttt9G5c2cAli5d6pqOKLWLc+QrXdMORURERESqjF9lT+jbty/Hjh0jMzOT6OhoV/mYMWMICQnxaOOkekQp4YaIiIiISJWr9MhXXl4eBQUFrsBr7969zJgxg507d9KgQQOPN1CqXoxSzYuIiIiIVLlKB1/XX389b7/9NgDp6en07NmTadOmkZSUxCuvvOLxBkrVU6p5EREREZGqV+nga8uWLVx22WUALFq0iLi4OPbu3cvbb7/NSy+95PEGStVTqnkRERERkapX6eArNzeX8PBwAFauXMmNN96I2Wzm4osvZu/evR5voFQ9V6p5BV8iIiIiIlWm0sHXeeedx5IlS9i/fz8rVqxgwIABABw5coSIiAiPN1CqnjPVfL7VTl6hzcutERERERHxTZUOvsaPH8/DDz9M8+bN6dGjB7169QKMUbALL7zQ4w2UqhcW6Ie/xQRo9EtEREREpKpUOtX8zTffzKWXXkpKSoprjy+Aq666ihtuuMGjjZPqYTKZiAoJ4GhWAWk5hTSMCvZ2k0REREREfE6lgy+A+Ph44uPjOXDgAACNGzfWBsu1XExx8KV08yIiIiIiVaPS0w7tdjtPPfUUkZGRNGvWjGbNmhEVFcXkyZOx2+1V0UapBs51X2madigiIiIiUiUqPfL1+OOP85///Idnn32W3r17A/DVV18xceJE8vPzefrppz3eSKl6royH5e31dex3+O0zCIqE0FgIqQ+hxY+AMDCZqrm1IiIiIiK1T6WDr7feeot///vfXHfdda6yTp060ahRI+677z4FX7VU9KnSzecch7evg8yD5Z/oF+QejIXGQkg949n1vnSwFlrFn0REREREpGaqdPCVlpZG27Zty5S3bduWtLQ0jzRKql908bRDt5Evux0+uscIvCIaQ1x7yDlqBGQ5R6EoD4ryIfOA8agIv+DiwKyee2AWHg8dh0JYbBV8OhERERER76t08NW5c2dmz57NSy+95FY+e/Zst+yHUrtEhzhHvkol3Pj6Rfh9lTG6dfsHEN/B/aTCHMg5ZjxyjxUHZsXPucdLvS8usxUYAVvGPuNxsj8+hzs/rMJPKSIiIiLiPZUOvp577jmuueYaVq9e7drja+PGjezfv59ly5Z5vIFSPUqCr+KRrz1fw+f/Ml4Per5s4AXGFMKAUIhuduYbOBxQmH3qYO3b1+D31bB3AzS7xEOfSkRERESk5qh08NWnTx9+++035syZw44dOwC48cYbue+++2jYsKHHGyjVI6b0mq/so7DobnDYodOtcOFd534DkwkCw41HTIuyx625sPlNWDMZRi5TEg8RERER8Tlntc9Xw4YNyyTWOHDgAGPGjOG1117zSMOkejlTzWdk58Pi0ZCdCvXbwLXTqycQuvyfsO192LcB/lgD5/Wr+nuKiIiIiFSjSu/zdSrHjx/nP//5T6XPmzNnDs2bNycoKIiePXvy7bffnrb+woULadu2LUFBQXTs2LHMVMfFixczYMAA6tWrh8lkYtu2bWWukZ+fz9/+9jfq1atHWFgYN910E4cPH650232Jc+RrSN5/4c+14B8CQ9+qvuyEkY3gor8Yrz//lzFNUURERETEh3gs+DobH3zwAcnJyUyYMIEtW7bQuXNnEhMTOXLkSLn1N2zYwG233caoUaPYunUrSUlJJCUl8fPPP7vq5OTkcOmllzJ16tRT3vehhx7i448/ZuHChXzxxRccOnSIG2+80eOfrzaJDg2gl/kX/mZaaBRcMw0atKveRlz6EPiHwqGtsOOT6r23iIiIiEgV82rwNX36dEaPHs3IkSNp3749c+fOJSQkhDfeeKPc+jNnzmTgwIE88sgjtGvXjsmTJ9O1a1dmz57tqnPXXXcxfvx4+vUrf9paRkYG//nPf5g+fTpXXnkl3bp1Y968eWzYsIFvvvmmSj5nbRBuPc5L/rOxmBzkXnArdLm9+hsRFgsX32u8/vxpsNuqvw0iIiIiIlXkrNZ8eUJhYSGbN29m3LhxrjKz2Uy/fv3YuHFjueds3LiR5ORkt7LExESWLFlS4ftu3rwZq9XqFpy1bduWpk2bsnHjRi6++OJyzysoKKCgoMD1PjMzEwCr1YrVai33nOrivP9Zt8Nuw7JoFLGmDHbYm2DtNp623vpMPe7F77vXMR3dTtEPH+DoMMQ77ahhzrmPpVZQP/s+9XHdoH72ferjuqEy/VzRn4UKB19nmpaXnp5e0UsBcOzYMWw2G3FxcW7lcXFxriyKJ0tNTS23fmpqaoXvm5qaSkBAAFFRUZW6zpQpU5g0aVKZ8pUrVxISElLh+1elVatWndV5bVM+pE3qV+QSyN+sD5D41Wb+jPTemqvW0f1pn7KIgs8msGZvIA6T1/5GUOOcbR9L7aJ+9n3q47pB/ez71Md1Q0X6OTc3t0LXqvBvtZGRkWc8PmzYsIpertYZN26c26hbZmYmTZo0YcCAAURERHixZUakvWrVKvr374+/v3+lzjX9uRbL1qUAvB75IH8cbkSbDp0Y1DG+KppaMYWX43j5C0JzjjAo4QSOrsO915Ya4lz6WGoP9bPvUx/XDepn36c+rhsq08/OWXFnUuHga968eRWtWiH169fHYrGUyTJ4+PBh4uPL/8U/Pj6+UvVPdY3CwkLS09PdRr/OdJ3AwEACAwPLlPv7+9eYf3SVbktmCvzvXsAB3Ubwa3oiHD5MZoHNu5/JPxouTYYV4/D7ejp0vRP8g7zXnhqkJv28SdVRP/s+9XHdoH72ferjuqEi/VzRnwOvJdwICAigW7durFmzxlVmt9tZs2YNvXr1KvecXr16udUHYxjwVPXL061bN/z9/d2us3PnTvbt21ep69R6tiJjI+XcYxDXEQY+W2qj5Rowf7n73RDRCDIPwvflJ2AREREREalNvLqYJjk5meHDh9O9e3d69OjBjBkzyMnJYeTIkQAMGzaMRo0aMWXKFAAefPBB+vTpw7Rp07jmmmtYsGAB33//vdvGzmlpaezbt49Dhw4BRmAFxohXfHw8kZGRjBo1iuTkZGJiYoiIiOD++++nV69ep0y24ZPWPm1saBwQbuzn5R9MdIgRfKXlFHq5cRgjXX3+CR8/COunQddhEBjm7VaJiIiIiJw1r6aav+WWW3jhhRcYP348Xbp0Ydu2bSxfvtyVVGPfvn2kpKS46l9yySXMnz+f1157jc6dO7No0SKWLFlChw4dXHWWLl3KhRdeyDXXXAPArbfeyoUXXsjcuXNddV588UWuvfZabrrpJi6//HLi4+NZvHhxNX3qGuC3lfDVdOP1dS9BvVYAruDrRG4NCL4AutwB0S2M0blNc89cX0RERESkBvN6GrmxY8cyduzYco+tW7euTNmQIUMYMuTU6cdHjBjBiBEjTnvPoKAg5syZw5w5cyrTVN+QcQA+GmO8vmg0dCjJYhldk6YdAlj84YrHYPFo2PASXDQKgqO93SoRERERkbPi1ZEvqWY2KywcCXknIKELJD7tdjg6xFgoeKImTDt06nATxLaD/AzYMMvbrREREREROWsKvuqSNZPgwLcQGAlD3gQ/9+yNJSNfNSj4MlvgyseN19/Mheyj3m2PiIiIiMhZUvBVV+z8rGTkKGkOxLQoU8W15qsmjXwBtL0WGl4I1pyStWoiIiIiIrWMgq+6IH0ffPRX43XPe6Hd4HKrxRQHXzmFNgqKbNXVujMzmeDKJ43X3/0HMg56tz0iIiIiImdBwZevKyqEhSMgPx0adYP+T52yaniQH2aT8Tq9piTdcGp1JTTrDbYC+PI5b7dGRERERKTSFHz5ulXj4eBmCIqCm+eBX8Apq5rNppq111dppUe/tr4LaX96tz0iIiIiIpWk4MuX/boUNr1ivL5hLkQ3O+MpNTLphlOzXnBeP7AXwbpnvd0aEREREZFKUfDlq9J2w/+K90+75H5oc3WFTitJN1/Dph06XfmE8fzjf+Hwr95ti4iIiIhIJSj48kVFBcY6r4IMaNITrppQ4VNdGQ9r4sgXGFkP2w0GHLD26TNWFxERERGpKRR8+aIVj0PKNgiOgZvfAIt/hU+tsenmS7viCcAEOz6Bg1u83RoRERERkQpR8OVrfl4M371uvL7xNYhsXKnTS9Z81dBphwAN2kKnW4zXn//Lu20REREREakgBV++JO0PWPqA8frSh6B1/0pfwrXmq6ZOO3Tq+39g9oM/1sDeDd5ujYiIiIjIGSn48hFmeyF+H46Cwixoeknx1LzKc4581bhU8yeLaQEX3mW8XjMZHA7vtkdERERE5AwUfPmIjgfew3TkZwipX7zOy++srhNTvOYrvaaPfAFc/ghYAmHfBmMETERERESkBlPw5QNMPy+i+fG1ODDBTa9DRMJZXys61Jh2mFYbgq/IRnDRX4zXGv0SERERkRpOwVdtd/Q3LMv+AYD90mRodeU5Xc6Z7TC9pu7zdbJLHwL/UCO74/aPvd2aKmP64X0Sf7of89p/QVEtCIxFREREpAwFX7VdWCyOFn04GtYO+2X/POfLOYOvrIIiCovs53y9KhcWC73uM16vfRrsNu+2pyoc3IJlWTJBRRlYNsyA16+A1J+93SoRERERqSQFX7VdcDS2m9/i25Z/B7PlnC8XEeyP2WS8Ts+rJSMsvcZCUCQc3QE/LfJ2azwrLx0WjsBkt3I8tDWOkHpw+Gd4rS+snwa2Im+3UEREREQqSMGXLzCZKLIEe+RSFrOJyODidPO1ZephcBT0ftB4ve4ZsNWSdp+JwwH/+xuk78UR1YxvWiZTNHo9tLkG7FZY8xTMGwjH//B2S0VERESkAhR8SRm1Jt18aT3/CqGxcGIPbH3X263xjG9egR2fgCWAohv/Q5FfKIQ1gFvfg6S5EBgBB76DV3rDptfAXgumiYqIiIjUYQq+pIxalW7eKSAULjMSj/DFc2DN9257ztWB72HVk8brxGcgoUvJMZMJutwG922Eln2hKA8+ewTeSYKMA15orIiIiIhUhIIvKSOqOPiqFenmS+s2EiIaQdYh+P4/3m7N2ctNg4UjwF4E7ZNK0umfLLIx3PkRDHoB/IJh9xfwci/YNl9p90VERERqIAVfUkZM8V5f6bm1bO2UfxD0edR4vX46FGR7tz1nw+GAJfdBxn6IaQnXzTJGuk7FbIYeo+Her6FxDyjIhCX3woI7IPtI9bVbRERERM5IwZeU4Uw3X6vWfDl1ud0IWnKPwaZXvN2aytswC377DCyBMOQtCIqo2Hn1WsHdy+GqCWD2h52fwssXw6//q9r2ioiIiEiFKfiSMpwJN07UtmmHABZ/6PuY8frrWZB3wrvtqYx9m2D1ROP11c9CQqfKnW+2wGXJMGYdxHWA3OPw32GweEzt+h5EREREfJSCLykjOsSZar4WBl8AHW6CBu2hIMMYSaoNco7DopHgsEGHm431a2crvgOMXmskIDGZ4ccP4OVL4Pc1nmuviIiIiFSagi8pwznt8ERtW/PlZDbDFY8br7+ZC9lHvdueM7Hb4aN7IPMg1DsPBs84/TqvivALgKvGw90rjWtmHYJ3b4RPkmvnWjgRERERH6DgS8qIqc3TDp3aXgMNu4I1B76a7u3WnN7XM+D3VeAXZKzzCgz33LWbXAT3rIce9xjvv/8PzL0U9m703D1EREREpEIUfEkZUbU54YaTyQRXPmG8/u7fNXf/qz1fw+eTjdeDnjemDHpaQAgMeg6G/Q8iGsOJ3TDvalj5ZO3fD600hwNyjnm7FSIiIiKnpOBLynCOfGXlF2G12b3cmnPQ6kpodinYCo2Nl2ua7KOw6G5w2KHTrXDhXVV7v5Z94b4N0OUOwAEbXoLX+kLKD1V73+pgzYP3hsDzrWDtM9rnTERERGokBV9SRmSwv2vJUa3b66s0kwmuetJ4vfVdOP6Hd9tTmt0Gi0dDdirEtoVrp5/7Oq+KCIqEpJfh1vchNBaObofXrzSCU1tR1d+/Kljz4P3bjKmbAF9MhWWPGGvpRERERGoQBV9ShsVsIjLYudFyLZ56CND0Yjivv5FFcMXjxi/qNcH6afDnWvAPMdZ5BYRW7/3bDoL7voF214G9CNY+Df/pD8d2VW87zlVhLrx/a/F3GQoX32eUf/c6fDQGbLX4jwciIiLicxR8Sblq9UbLJ7vyCSPl+m+fGckm9n3j3fbs/hLWTTFeXzMdGrT1TjtC68PQt+HG140RsUNb4PWrjPbVBoW58P4t8Oc6CAiDOz+EgVPgxn+D2Q9+WggL7jDqiYiIiNQACr6kXK69vmrztEOnhl2MaXZh8XD8d3hjIHz2KBTmVH9bsg7DolHGOq8L74Qut1V/G0ozmaDTUGMUrMnFxt5o79wIPy70brvOpDAH5g81AkVn4NWsl3Gs0xC4db6RPXLXCiPFfl66V5srIiIiAgq+5BRK9vrygZEvgDYD4W/fQJc7AQdsmgsv94I/v6i+Ntht8OEoyDlibAJ99fPVd+8ziWhoZENsnwR2Kyz+C6yfXjMTVxTmwPxbYM96CAiHOxcb00tLOz8R7voIAiNg30Z461rIPuKd9oqIiIgUU/Al5YoO9aFph07B0ZA0xxgliWgM6Xvh7evg4wchP6Pq7//FVCNg8A8tXucVUvX3rAz/ILh5HvQaa7xfMwk+/UfNSsRRkG1kNXQGXncthqY9y6/b7BIY8amRWCT1J3gjEU7srd72ioiIiJSi4EvK5Uw3X+sTbpTnvH5w30boPsp4v/lNYxRs16qqu+cfn5ekux88E2LPr7p7nQuzGRKfhoFTAZOxKfMHd3hniubJnIHX3q+NEa27PoImPU5/TkInuHsFRDaFtD+NKadHdlRPe0VEREROouBLyhVVvOYrLccH1nyVJyjCSO8+4lOIbgGZB+G9m+Gjv0JummfvlZkCH44GHNBthLEmqaa7+K9GMg6/IPhtObzp5Wl7BVlG/+zbUCrwuqhi59ZrBaNWGCn9sw7BvIFwYHPVtldERESkHAq+pFwxIT488lVa80vh3g3FU+1M8MP7MKcnbP/YM9e3FRnrvHKPQVxHGPisZ65bHdpfB8M/huAYIxPiv/t5JxV9QRa8e7OxdiswEu5aAo27V+4aEQ1h5GfQqBvknYC3BhtZEkVERESqkYIvKVeUM9W8rwdfYKy9SnwaRq2E+ucbCTE+uBMWjoDso+d27XXPGNPkAsJh6FvgH+yRJlebJj1g1CqIbm6skftP/+pN1Z+fCe/eBPu/MdLhD1sCjbud3bVCYoykIi36gDXHmMLoqSBbREREpAIUfEm5StZ8+ei0w/I06QH3rIfL/gEmC/zyEczpAT8tOrusf7tWG5spA1z3kjH9rTaqfx6MWl1q1Og6+PV/VX/f/AwjTfz+TRAUZQROjbqe2zUDw+GOhdBuMNgK4b/DYMs7HmmuiIiIyJko+JJyRbvWfNWBka/S/IPgqvEw+nOI6wB5aca0wQW3G2u3KirjACwebby+6C/Q4caqaW91CYuF4Z9Am0FgK4D/DoeNc6rufvnF+40d+K4k8Gp4oWeu7RcIN79p7LPmsMPSsbBhlmeuLSIiInIaCr6kXM5U8xl5Vopsdi+3xgsadoHRa+GKx8HsDzuXGWvBtr575lEwmxUW3W0EbgmdIfGZamlylQsIgVveNYJJHLDiMVg+Duwe/vnIS4d3boCD3xvbAwxfavSHJ1n84LrZcMn9xvuVT8Cap2rmvmYiIiLiMxR8Sbmigv1drzPy6tDUw9L8AqDPP+GeL6FhVyjIgP/9zZgKl77v1OetecqYKhcYaezn5RdYfW2uamYLDHoB+j9lvP/mZVg4HKx5nrm+K/DabARew5YaAWxVMJmg/2S4aoLxfv00+OQhYzNsOTv5mbB3A+Qc83ZLREREaiQ/bzdAaiY/i5mIID8y84s4kVtIvTAfCiAqK669kXTimznw+dPGnl0v94L+k6Db3cbeWE47l8OGl4zXSXMgpoV32lyVTCbo/SBENIIl98L2pfD2Ybj1fQitd/bXzTthBF6HthoZFocvhfiOnmt3eUwmuCwZgqPgk2TYPM+Y8njDq0bwLafncMCx32DXSvhthZGR0l68KXeD9tD8MiOjaPNLjYQnIiIidZyCLzmlmNCA4uCrjo58lWbxMwKONoPgf2ON7Huf/gN+/qgkmUb6PvjoHqN+z3uNpA6+rOPNEB5vrIfbv8nIhHjnh2cXcOamwTtJkPIDhNQzRrziO3i8yafU/W4jm+Lie+CXxVCQaexzFhBafW2oLax5sHu9EXDtWmlkwSwtLA6yD8ORX43Ht68CJmMNZYvLjICs2SVGwCsiIlLHKPiSU4oKCYDjuXUv6cbp1G9t7Bf13euweiLs/Qpe6Q1XPmFkR8xPN7ICOqfl+brml8LdK40NkNP+MPYCu/2/lUsHn5sGb18PqT9CSH1jb7G49lXX5lPpcJMRgH1wF/y+2hiFu/0DY/pjdSgqgNSficjdB0X54O9/5nOqy4m9JcHW7i+N9jlZAo2fg9YDoHV/4w8ROceNfxu718Oe9XB0Bxz+yXh88zKYzBDfqSQYa9rL2PhcRETExyn4klMqSTev4MuN2Qw97zF+2fz4AeOX0ZWPG8eCIuHmeXVrylqDtvCX1ca+Wak/wpvXwJB50ObqM5+bmwZvXwepP3k38HI6r5+xifP8IcZo3rxr4K7FxgifJ+Wlw+GfIeVH4ztL/QmO7sDfXsQVgOO58cbearHtILYNNCh+rn9+9ewVV1RojO7+tgJ2rYJjO92PRzSG8wcY/wZaXF52hDC0HrS/3ngAZB8xgjBnMHb8d0jZZjw2zDK2dmjYxQjEWlwGTS6GwLCq/5wiIiLVTMGXnFKUK928ph2WK6aFMT1uy1uw4gkozIakuRDdzNstq37h8TBymbEx9e+rjamIg54vzox4CjnHjRGvwz9BaKwReDVoV21NPqWmPWHEMiOxypFf4I1EIyA7m+mUDgdkHjKCq9TiQCvlx7JT9ZzVg6KwWq0E2HIg7U/jsfPTUjVMRlDmDMZiSwVlASFn82lLZKUagdaulfDHWijMKnVbCzS9uHh0a4Bxf5Op4tcOa2CMLHa4yXifmQJ7voI9XxoB2YndRpKVg5vh6xlg9jNGkJ1rxpr0PPfPJyIiUgMo+JJTignRyNcZmUzQbQS0HWyklq/f2tst8p7AcLhtgZExcOs7xpq49P1GNsHSSUmgOPC6zhj9CW1QHHi19U67yxPfAe5eDm8nwYk98MZAuOuj04/K2W1w/I/iAOuHkoAr93j59SObGglFEjoZz/GdKAqJ47NlyxjUpzv+J/4wpusd3QFHdsDR7UZSkhO7jcfOZaUuZjKC/vJGyk61bs1ug4NbYNcKI+BK+cH9eGgsnNffGOFqeYVn12hFJECnIcYDjH3xnKNiu9dDxj5j5HH/Jlj/AlgCoFH3kmmKTXrWrdFlERHxGTUi+JozZw7PP/88qampdO7cmVmzZtGjR49T1l+4cCFPPvkke/bsoXXr1kydOpVBgwa5jjscDiZMmMDrr79Oeno6vXv35pVXXqF165JfjJs3b87eve5/fZ4yZQr/93//5/kPWEs59/rSmq8KCK13bpn+fIXFH66bBVFNYe3TxihGxgFIerkk5X7OMXjrOmNUKSzO2Lw59nyvNrtcMS3h7hXFI2C/wryr4Y5F0OQiI+nEkV/dpw0e/gWsuWWvY7IYgVBxgGU8dyw/+5/VagT0YXEQ3Rha9ik55nBAztFSwZgzMNtuBP4n9hiP3z4rfXOjL2LbGsFtbFtjVGnXKmOEMi/NvW6jriVrtxIuLBs0V5XIxtDlNuMBxucoHYxlHYJ9G4zHF1ONwLD73cbD01NCRUREqpDXg68PPviA5ORk5s6dS8+ePZkxYwaJiYns3LmTBg0alKm/YcMGbrvtNqZMmcK1117L/PnzSUpKYsuWLXToYGRHe+6553jppZd46623aNGiBU8++SSJiYn8+uuvBAUFua711FNPMXr0aNf78PDwqv/AtUh08cjXCY18SWWYTMb+aJGNYen98PMiI/vdLe8aG1C/fZ0RuITFw4hPavZoYUQCjPgU5g+FA98ZbY9qZqRXd5SzH5h/iJHVr/SIVoP2nlmnZTIZ0/fCGhjrrErLPloSjJUOznKPGVMc0/caI1wnC4yE866E1onGerew2HNvpydENzceXe8ygs60P0sCsd1fGEHoF1ONvdkuuAF6/hUad/d2q0VERM7I68HX9OnTGT16NCNHjgRg7ty5fPrpp7zxxhvljkLNnDmTgQMH8sgjjwAwefJkVq1axezZs5k7dy4Oh4MZM2bwxBNPcP31xmLvt99+m7i4OJYsWcKtt97qulZ4eDjx8fqr6anEhBprvpRqXs5Kl9uNUYkPhhm/OL+RCJiM6XO1IfByComBYf+DD+409ng7ur24vL7blEHiOxmZ/syW6m9jWKzxaHGZe3nOsbIBWWGOEbydnwiNexjbKNRkJpPxvdZrZUzxtVlhxyew6VVjX7GfFhqPRt2MIKx9kqYkiohIjeXV/+sWFhayefNmxo0b5yozm83069ePjRs3lnvOxo0bSU5OditLTExkyZIlAOzevZvU1FT69evnOh4ZGUnPnj3ZuHGjW/D17LPPMnnyZJo2bcrtt9/OQw89hJ9f+V9JQUEBBQUFrveZmZkAWK1WrFbvBifO+3u6HWEBxpSjtOwCr3/Guq6q+rjKNb0Mhn2M34JbMR3dAYAjLJ6iO5dAZHNjml1tYAqAIe9i+uUjCI7GEdfRCCxPTjphsxuPs+Txfg6IhEY9jUd57A6w15I+KO38a41Hyg9Yvv83pl8+xHRwMywejWPF49i7jsDedbgxfbOGqbX/lqVS1M++T31cN1Smnyv6s+DV4OvYsWPYbDbi4tz/BxkXF8eOHTvKPSc1NbXc+qmpqa7jzrJT1QF44IEH6Nq1KzExMWzYsIFx48aRkpLC9OnTy73vlClTmDRpUpnylStXEhJSM7JwrVq1yqPXS8kF8ONIRg7Lli07U3WpBp7u4+oS1OxRLto9G39bLpuaPETOpt+A37zdrLMQDhTBrq1Vepfa2s9eYbmagHa9aX58Hc2PrSE45wiW9c9h+moaB6N68mfsANJDW3q7lWWoj+sG9bPvUx/XDRXp59zcctZ9l6OGzzepOqVHzzp16kRAQAD33HMPU6ZMITAwsEz9cePGuZ2TmZlJkyZNGDBgABER3t0c1Gq1smrVKvr374+/BzdmPZpVwLM/fEGuzUTiwKuxmCuRWlo8qqr6uHoZ63f6VCZFeR3jG/3sLbeCzUrRzk8wf/c65gPf0uTEBpqc2IC9UXfsF43G0XawkTnRi9THdYP62fepj+uGyvSzc1bcmXg1+Kpfvz4Wi4XDhw+7lR8+fPiUa7Hi4+NPW9/5fPjwYRISEtzqdOnS5ZRt6dmzJ0VFRezZs4c2bdqUOR4YGFhuUObv719j/tF5ui2xkcbaFYcD8oogOrRmfM66rCb9vEnVUT+fJX9/6DzUeBzcDJteg58/xHzwe8wHv4ewCcbec91GeD25iPrYCxwOYzuIA98ZSVzaDoKGF1bpLdXPvk99XDdUpJ8r+nNQTXmEyxcQEEC3bt1Ys2aNq8xut7NmzRp69epV7jm9evVyqw/GUKCzfosWLYiPj3erk5mZyaZNm055TYBt27ZhNpvLzbBYV/lbzIQHGvF5mjIeikht0qgb3PgqPPQL9H3MWP+VnQpr/wUvtoeP7oVDVTt91OdkpcJvK+DL52HdVPh1KRz73dgzribKTYNdq2HtFHj3JpjaHGZ3gyV/hS+fg9evhFXjja0jRESqidenHSYnJzN8+HC6d+9Ojx49mDFjBjk5Oa7sh8OGDaNRo0ZMmTIFgAcffJA+ffowbdo0rrnmGhYsWMD333/Pa6+9BoDJZOLvf/87//rXv2jdurUr1XzDhg1JSkoCjKQdmzZt4oorriA8PJyNGzfy0EMPceeddxIdHe2V76Gmig4NIKugiBM5hVBDslCLiFRYeBz0fRQufQh+/R9smgsHv4cf5huPJhdDz3ug3WBjnzoxRohO7C7Zxy7lB+N1zpHy6/sFG3vZxV1gbK0Q1954Dosrm5Smqtisxl57B74zRj0PfAfHfy+nrUGQ0BkCI+D3VfD1TNixDK6fA01PkZhGRMSDvB583XLLLRw9epTx48eTmppKly5dWL58uSthxr59+zCX2ujzkksuYf78+TzxxBM89thjtG7dmiVLlrj2+AL45z//SU5ODmPGjCE9PZ1LL72U5cuXu/b4CgwMZMGCBUycOJGCggJatGjBQw89VCaLohjB1760XKWbF5HazS8AOg0xHge+N1LV//IR7P/GeIQ3hItGGVMSQ+t7u7XVx1YEx3eVBFgpPxibhhdklK1rMkP9841tFcx+xn59R3dAUR6kbDMepQXHnBSQXWBs9h14jntqOhyQedDoR2ewdWgrFOWXrRvTytgDrvFFxmhoXIeSrQh2LINPHjI+/xuJxlYFVz0JAaHn1j4RkdPwevAFMHbsWMaOHVvusXXr1pUpGzJkCEOGDDnl9UwmE0899RRPPfVUuce7du3KN998c1ZtrWuiQ4r3+srRtEMR8RGNuxuPAZPh+3nw/X8g6xB8Phm+eA5aXQEBYUZyDr8A49n58As0RsgsgWd33GHGrygH7EVANY+0WfPhyC/uI1qHfyk/aLEEGEFTQidjpCi+sxFIBZyU3ddug7TdxnWPbDeud+RXY01VXpqxx9+e9e7nRDU1AjHnCFncBVDvvFOPPBbmGMFV6WArK6VsvaBIaNTdPdgKiTn199F2EDS7BFY8DtvehU2vwG+fwXWzy+6ZJyLiITUi+JKaKybE+AvhCa35EhFfEx4PV4yDy5KNUbBvXjFGb35bXmW39AeuAfjpXmMKXECoEegFhEFgWDnvi8sCw89c1y+oZJpffqYxgpX6Y8mI1tEd4ChnfVZAWMlm4QmdjYArtm3FpmGaLVD/POPR/vqScmte8ebepQKyw78a6+7S9xmP3z4rdR1/Y1TNGZCFxMChbUbAdeTXsu02WYygrfFFJcFWTCswV3Ipe3AUJM2BC26Ajx+EE3vgrWuh+yjoP+ncR+lERE6i4EtOK6o4+FLCDRHxWX6B0PlW6HSLMaqSsg2KCsFW6lFUYKwrshUUvz/dcWvx+9LHna8LSu5blG88co975nOYLEYg5Rd46vVZwTElAZZzRCumZeWDljPxDzYyCZ6cTTA3rSQQO/JL8fN2KMwqHj37pfzrRTQyRrKcwVZCl7KjcOeidT+4b6ORgGNz8WjorpUweCacd5Xn7iMidZ6CLzmtmOL08uk5WvMlIj7OZCqZklhFrIWFLP90KQOvvAx/RwEUZBvT6gqzjOeCbCh0Pk71vnTdHLDmGBd32Iy1Ws74LqKxEWSVHtGKaFR9STDKExIDzS81Hk4OB2Tsdw/Ico8bo3HOYCuiYdW3LSgCBs8wRsGW3g/pe+HdG+HCO2HA08YomYjIOVLwJaelkS8REQ8ymbCb/Y0gxFN7A9ntRgBWOhiLaAyh9Txz/apmMhnrwKKaQpuB3m4NtOwD924w1gBuehW2vgu/r4FrZ9SM9olIrebVfb6k5osJLV7zpYQbIiI1k9lsrE2KSDDWXiV0rj2BV00VGAZXT4WRnxlrybJS4P1bYPEYY+qkiMhZUvAlpxWthBsiIlJXNesF934Nl9xvpNr/8QOY09PYYNrbHA5vt0BEzoKmHcppRRev+dI+XyIiUif5B8OAf0H7JFhyHxzbCf+9y1gbdvXzEBZb9W0oKjAyVu7/Fg58C/u/M9bF1T/f2DutQTuIbWc8RzXzfAIVEfEYBV9yWs5U8+m5hdjtDsxmLy7UFhER8ZbG3eGv6+GLqfDVDGN7gt1fwtXPQYebPJvIJDMF9m8y9jXb/62RgdNWzgyUwz8Zj9L8QyC2TUkw5nx4O9mKiAAKvuQMnAk37A7IzLe63ouIiNQ5foFw1Xhodx38729w+Gf4cBT8vBiunW7sHVdZRYVGALX/2+KRre+M7I8nC6kHTXoaGSCb9IDwBDj2m5G6/0jxnmrHfgNrrrEp9aGt7ucHRhj7tzVoa+ylFlv8HNZAQZlINVLwJacV4GcmLNCP7IIiTuQq+BIREaFhFxi9Fr56Eb58HnZ+Cnu/goHPQufbTn9u9pHiQKt4ZOvQVmO/t9JMZmhwgRFkNelRvIl0y7JBUr1W0Obqkve2Ijix2wjEjmyHo8XPx3+HgkxjyuKBb92vERxdKhhrVzKFUUlbRKqEgi85o6gQf7ILikjLKaRF/VBvN0dERMT7/AKg76PQ7lpjLVjKNlhyrzEKdvULRh17ERz6pdRarW+N/cNOFhxdMqLVuAc06mpksKwsix/Ub2082l9XUl5UaARgzmDM+TixG/JOwN6vjUdpobHG6FpYAwiLM96X9zo4WiNnIpWg4EvOKCY0gAMn8njog200qxdCfEQQcRFBxEUGER8RVPw+kHphgVi0JkxEROqSuAvgL2tgw0uwbgr8vgq/V3vTO6ARfj//1ZgG6MZkjC45A60mPaDeeVUbwPgFQFx741GaNQ+O7XIfJTuy3QgQc44ajzMx+0FoAyPxSGhxQOZ63cA9YFOg5vscDijIgrw0Y1sGax74BRmJa/yDwK/42T8ELAF18udBwZecUdem0fx4IIN9abnsSzv5fyIlLGYTDcIDaRARRHxEIPERQcWvg4iPLA7YIgIJD/LQxqIiIiI1gcUPLkuGttfA//6G6cB31C/caRwLjDSSdTTpCU0ugkbdICjSu+118g+GhE7Go7SCbGOkLPsI5Bwxnst7nXfCGN3LOmQ8zsTsbwRjzpGz0FhjLVtIPQitX/y6vrEJeUg943uqg7+c1xg2qxFAOQOpvDSjz93Kynlvr2iGbFNxUBZcEpT5BZcfqLkCuNJ1g0oSzDTuXqVfhScp+JIzmjC4PXf0bEpKRj6HM41HamY+qRkFHMnKJzUjn2PZBdjsDlIy8knJyOeH01wvNMBCXGQQceElQVlCZBCtG4TRvmGE1pWJiEjtFNsG7l5B0U+L+WnzRjoMvBv/+Pa1L/V7YJixru1MigqLR8hKBWXZh42ykwO2/HTjl/LMg8ajIsx+7gGZW4BWz1iXVvp9SD1jlK+iHA4jjX9RfqlHgfuz9eRy47W5IIc2Kb9i/vInI/g2mQETmCj12lwcPJZ67TrmfM3p6+Eotaeb8/XJz7i/PrlOeWXO58Jc9+DK9XwCCrMq/l2ezC8IgmMgINT47qy5xd9nHjhsJW225pYzOlxJ3UYo+BLfYjKZaB0XTuu4U88/L7LZOZZdWByU5buCstTMfI5kFpCamc/hjHyyCorIKbTx59Ec/jyaU+61GkUF0y4hggsaRtC+ofHcKCoYk/76JSIiNZ3ZgqN9Evv2BNAhtk3tC7wqwy8AIhsZjzMpKigOyg5DdvFz7vGSR86x4tfHjACgMNsYVcs+bDwqKjCieOSsvjFKcnJQZS312lZw1h/dArQFSD3rS9QSJgiOMgKpkJiTnqPLKS8uCwg59SVt1uKgKx+K8oyAzJpXEpyVeZ1n1C0dwBXll1yjwQXV9m14goIv8Qg/i5n4SGMkiyanrpdTUOQaOXMGZakZ+RxKz2NHahb70nI5mJ7HwfQ8Vm8v+Y9tZLA/7ROMYKx9QgQXNIqgVWwY/hYf/p+aiIiIr/ALhMjGxqMirHlGEJZbHJTlHC8VnDmDtVLHc4+Dw25kdSzIhBN7KtnA4ilwfoHGqI3rEVjyXOq43ezP3gMpNG3WDIsJYyTJYcc1quQaYbKXfe1W7zTnOOylRsRMJe08ueyUx053XvGzX1A5QVWp56BIMFsq+V2egcUfLJE1Z/ptNVPwJdUqNNCPlrFhtIwNK/d4Zr6V7Ycy+TUlk18OZfLroUx2HckiI8/Kxj+Ps/HP4666AX5m2sSFu4Kx9gkRtEuIIDRQP9YiIiK1mn9wxUfVAOx2Y2pj6ZG0ovxTBFTlBFVmv0qtL7NZrfy4bBmNBw7C4q+17FJx+i1VapSIIH96tqxHz5Yl+4sUFtnZdSTLFYz9mpLJ9kOZZBUU8dPBDH46mAHfG3VNJmheL7RkhKx46mKD8CAvfSIRERGpcmZz8XTDGKC1t1sjckoKvqTGC/Azc0HDSC5oWDI8bbc7OHAij18OZbiNkqVm5rP7WA67j+Xw6Y8prvr1wwJp3zCCdvHhtE0Ip01cBK0ahBLo5+GhdBERERGRU1DwJbWS2Wyiab0QmtYL4eqOCa7y49kF/JpiBGK/FI+S/Xk0m2PZBXz521G+/K1kzxI/s4lWsWG0TQinbXwEbRPCaRcfQVxEoJJ7iIiIiIjHKfgSn1IvLJDLWsdyWetYV1leoY3tqZnsTM1iR0om24ufM/OL2Hk4i52Hs/gfJfuTRAb70zY+nHYJEbSND6dtQgTnx4UREqB/LiIiIiJy9vTbpPi84AALXZtG07VptKvM4TD2JNuRmsmO1Cx2pGSxIzWTP47mkJFnZdPuNDbtTnPVN5mgWUyIa4SsbXwE7RLCaRIdgtmsUTIREREROTMFX1InmUwmGkYF0zAqmCvbxrnKC4ps/H4k2xWM7UjNYkdqFkezCthzPJc9x3NZ/kvJph4hARbOjwunXUI45zUIp2Fxuv34yCBiwwLxUyp8ERERESmm4EuklEA/S5nkHgDHsgvYmZrF9hRnQJbJb4ezyS20sW1/Otv2p5e5ltkEDcKLg7EI4zkhsuR9QmQwDSICCfJX0g8RERGRukDBl0gF1A8LpP55gfQ+r76rrMhmZ8/xXGOELCWL3cdyXJtGH87Mp8juMN5n5p/22jGhAcXB2MmBWrBrFC1QA2giIiIitZ6CL5Gz5Gcxc16DMM5rEMa1ndyP2ewOjmcXkJqZT0qGEZClFAdlKRl5rvcFRXbScgpJyynk15TMU94rLNCPMLOFhUc30ygqhISoIBpGBpMQZQRpDaOClBBEREREpIbTb2siVcBiNtEgIogGEUF0alx+HYfDQUae1S04M0bO8koFavlk5ReRXVBENiZSfz8OHC/3epHB/iREBtEwKpiE4imOCcUBWsPiUTRNcRQRERHxHgVfIl5iMpmICgkgKiSAdgkRp6yXXVDEgePZLF31JU3aduJIlpWUjDwOZeSTkm4EatkFRWTkWcnIs7IjNeuU16oXGlAyWhYZREJxoOYM2OIjgpQkRERERKSKKPgSqeHCAv1oFRtKmygHg7o2wt/fv0ydzHwrKen5HMrIIyXdGD07lGFMcXSW51vtHM8p5HhOIT8fLH+Ko8VsIj4iiMbRwTSJCaFxdDCNo0Nc7+MjgrAotb6IiIjIWVHwJeIDIoL8iYj3p018eLnHHQ4H6blWV3BWeuTMGaSlZuRjtTk4mJ7HwfQ8t33OnPzMJhKigmgcFVJugBan4ExERETklBR8idQBJpOJ6NAAokMDyqTRd7LbHRzNLuDAiVz2p+Vx4EQuB07kFT9yOZieh9XmYH9aHvvT8sq9hr/F2D+tcXQwjaNCaBJTEpg1jg6hQXigNqUWERGROkvBl4gAYDabiIsIIi4iiG7Nyh632R0cycp3BWMH0vLYXypAO1QcnO09nsve47mUlxgk0M9My9gwWsWG0irWyBTZKjaMlrGhSgYiIiIiPk/Bl4hUiMVsMrInRgZzUfOYMsdtxfuaHUhzHzFzBmjO1PrbUzLZflJafZMJGkUF0yrWCMZaNQjlvNgwWjUIo15oACaTRstERESk9lPwJSIeYTGbaBQVTKOoYHqWc7zIZufAiTz+OJptPI7k8PvRbH4/kk1GntUVsH3x21G38yKD/V0jZa0ahLmCsibRwcrMKCIiIrWKgi8RqRZ+FjPN64fSvH4oV7WLc5U7HA7Scgr542hOcVCWze/FAdqBE3lk5FnZsi+dLfvS3a7nbzHRvF6oa6SsVWwYTWNC8LOYMZvAhAmTyRhVK/3abDJhorjc9dp4NpuMelCqbvH55uL64UF+miIpIiIiZ0XBl4h4lclkol5YIPXCAunRwn06Y77Vxu5jOa6Rsj+KR8r+PJZNvtXOriPZ7DqSDb9Ub5tDAyxEhwYQExpAdEjpZ3+jPMRIblKvOMlJVLC/RulEREREwZeI1FxB/hbaJUSU2YTabndwKCPPGC07ku0Kyg5l5GG3G6NpDsDhAAcO7A7jNa7XJcftRqXi98XHcRjnln6Nsa4NIKfQRk6hMU2yoiKD/YuDNH/3oK1UsBYZaOZoHuQWFhFZzn5uIiIiUrsp+BKRWsdsNhWnsA+hz/mx1XZfh8NBVkERJ4o3qz6RU0haTiEncgtJy7Ea73ML3Z7T86w4HJCRZyUjz8ruM97Fj39t+5zwQD9iIwJpEB5Ig/Ag4znC/XVseBARQX5KSCIiIlJLKPgSEakgk8lkbGgd5E+zeqEVOsdmd5CRZyUtp4C0HGupYK3wpGDNyvHsAo5k5FJoN5FVUETW0SL+PJpz2usH+pndg7LwQBpEBBEbXipwiwgkJiRAe6yJiIh4mYIvEZEqZDGbiCleH3YmVquVTz9dxuVXDeBEvo0jmQUcycrnaFYBR7IKOJKZbzwXv87ML6KgyH7aja+d/Mwm6ocFEh0aQIDFhL/FjF/xs7/FjJ/Z+dqEX/GzUV7qtaVUHbfy0vVNWMwmzCYTZrORqMRiMmEyOcuNkUuLyVnHSGziOlZcbjGf+nyL2f1eGvkTEZHaQsGXiEgNYjJBeJAfMeHGvmenk28tCdDKBGfF749mFXA8p5Ci4n3YUjPzq+mTVB8/s8kIDM1GgOhnMeNvNmEpXVYcLFrMJcFlmTLXMTPB/haC/M0E+VtcrwNdr433Ja9PrmvBolFGEREph4IvEZFaKsjfQtN6ITStF3LaelabnWPZBRzJLOBEbiFFNgdFdjtWmwOrzU6RzYHVbsdaZKfI7ihVbsdqdxjPpeu6lRvHSl/P7jCSotjsDuwO58Moszsc2BwO7HYj2YlRp/RrR3E9iuuVnH8qRXYHRXYH+dg9/A2fPX+LyS0wcwZlARYTWelmFh3djMlcNgPmqUK2Uw3unaq+pXhU0M9sxmw2uUYJLSYjKC33vcmEpThYNZtK6pz83vlwjlI6t2Fwjko6t2gofdxsrlxd5xYQ5X3O0t+FqdSRU35HpeuXeuMMtt0Cd42kikgVU/AlIuLj/C1mEiKDSYgM9nZTzprDYWSdtBUHac5A0Ai8SoLCIrvDLbgsstmN+qWCyCJ7cVnxcavdgc1WEngWFtnJL7KRb3U+7ORbbeSd9N752lleUFQS/BmBaBFZ+UXlfBozOzOOV9+XJ5VSeiTV369kSq4zOCt5XWoE1c85cmoEdBbg0CEzaxb+BCaTK5uqKwOr/dSZWO2lsq86M7KWztxKcZnZZCKwVGDvGq0NsBDkZyE4wEKQn9l4LjVKG3zSHwRKX8P/DFtiFNnsFBTZKSyyU2izU2C1U2gz/h2UvLdTYLW5vS8sslNQZCt+trueAbe9FM1mk9t+jO4Bu/NYyXtz6f0bTaWnLhsXtpz0RwSL6w8RJdOW3Y+XU242u/3BwvnssNkoskNhkR3MxZ+Fkn0jXZ9NwbycRMGXiIjUeCbnL16Y8LdQIze6ttsdFBQVB2ZFNvIKiwO1Ihv5hUZZdl4h327eSufOnbFY3D+D4xSje6ca9HOc4gRHcVucgWqRzRg9LLKXvDeOGQGn3V5yzPko+96OzU7JOaVGL50Bgs1ROoAoOe4a+Sxd117y2l7qvNIjoeV9AaU/cenP715eur6j/HIHFNnt5Y6ouo2kFpziy68QMxxLOZcLVDs/c8mIbaCfGautdLBkO+0IdN3kxz82ra5wbSPQLAnITJQEn84CZ5nx1j0YdQZz7mUm13VLjyQ772c+qT4nBbfO7VTsxVuwUOq1K/B3+8NAyR8NHCfVc27dUvp812cv/iwln7ukPW5lJkoFr6ZS30fJZzr5O7qhayMeHdi2wv3gbQq+REREPMBsNhEcYIw4nIrVasWxz8GgLg3x115uXme3G1Nui2wO1/Tb0qOo1uKpte6jqaXPMUZOjSm7JaOtBdYift2+nQvat8disRT/olsy5RLnqA0lozfOX06dddx/iS5b3+6g1IhsyWhsXqEz+HcP/F1/DHDWKzVy61Rkd5BdUER2QXkjtu7MJgj0M0bOAizmkmc/CwF+ZgL8zAS6HhbX+9LPJkxlftG328v+Ql/yuiS4P/m9c8TQOGYE/86py0Vuf0Q46Q8R5ZW7jpctPxfOPSPL/qVFUe25yMyzersJlaLgS0REROoks9lEoNlCoId/G7JarSzL+JVBlzSr8UG2w1FqxPakabT+FlO5wVNAcZbTusY5+lNkt5NfUMhny1fSv39//PyMPnaOIjlK1TemkJYahXVNKy0pc7jKSt5Tqk7pkamS6avuAarzHLcyThqhsruX2R3O0bTSgX2pPwiUGiEr/ccAt9G04qmgUDLt8+TRt5NHnU/3PVHmOznpezrpPUB0BbIJ1yQKvkRERETqKJOpZKqhnJ7JZMJiAovZgtnhR7AfRAT71/gAW2qWuvdnCxERERERES9Q8CUiIiIiIlINakTwNWfOHJo3b05QUBA9e/bk22+/PW39hQsX0rZtW4KCgujYsSPLli1zO+5wOBg/fjwJCQkEBwfTr18/du3a5VYnLS2NO+64g4iICKKiohg1ahTZ2dke/2wiIiIiIiJQA4KvDz74gOTkZCZMmMCWLVvo3LkziYmJHDlypNz6GzZs4LbbbmPUqFFs3bqVpKQkkpKS+Pnnn111nnvuOV566SXmzp3Lpk2bCA0NJTExkfz8fFedO+64g19++YVVq1bxySef8OWXXzJmzJgq/7wiIiIiIlI3eT34mj59OqNHj2bkyJG0b9+euXPnEhISwhtvvFFu/ZkzZzJw4EAeeeQR2rVrx+TJk+natSuzZ88GjFGvGTNm8MQTT3D99dfTqVMn3n77bQ4dOsSSJUsA2L59O8uXL+ff//43PXv25NJLL2XWrFksWLCAQ4cOVddHFxERERGROsSr2Q4LCwvZvHkz48aNc5WZzWb69evHxo0byz1n48aNJCcnu5UlJia6Aqvdu3eTmppKv379XMcjIyPp2bMnGzdu5NZbb2Xjxo1ERUXRvXt3V51+/fphNpvZtGkTN9xwQ5n7FhQUUFBQsttiZmYmYKSTtVq9u7+A8/7ebodUHfVx3aB+9n3q47pB/ez71Md1Q2X6uaI/C14Nvo4dO4bNZiMuLs6tPC4ujh07dpR7Tmpqarn1U1NTXcedZaer06BBA7fjfn5+xMTEuOqcbMqUKUyaNKlM+cqVKwkJCTnVR6xWq1at8nYTpIqpj+sG9bPvUx/XDepn36c+rhsq0s+5ubkVupb2+aqgcePGuY24ZWZm0qRJEwYMGEBERIQXW2ZE2qtWraJ///7aa8JHqY/rBvWz71Mf1w3qZ9+nPq4bKtPPzllxZ+LV4Kt+/fpYLBYOHz7sVn748GHi4+PLPSc+Pv609Z3Phw8fJiEhwa1Oly5dXHVOTuhRVFREWlraKe8bGBhIYGBgmXJ//5qzuV5NaotUDfVx3aB+9n3q47pB/ez71Md1Q0X6uaI/B15NuBEQEEC3bt1Ys2aNq8xut7NmzRp69epV7jm9evVyqw/GUKCzfosWLYiPj3erk5mZyaZNm1x1evXqRXp6Ops3b3bV+fzzz7Hb7fTs2dNjn09ERERERMTJ69MOk5OTGT58ON27d6dHjx7MmDGDnJwcRo4cCcCwYcP+v727j6my/v84/joYHAERQRQ4GohCeAstb5A0LXECNidKpsUampOZ4LyZ6WQiam40W3c2w3VnfyRauDBrqZUJLedN2vCmKVPmhg3xrqmIoUw+vz+c5/c93qQonEs4z8d2bedcn0t4Xb73dnt7nes66tatmwoKCiRJc+bM0ciRI/Xuu+/qxRdf1MaNG7V//3598sknkiSbzaa5c+dq5cqViomJUVRUlPLy8uRwOJSWliZJ6tOnj1JSUjRjxgytXbtWDQ0NysnJ0ZQpU+RwOCz5ewAAAADQtlk+fE2ePFnnzp3T0qVLVVNTo6efflrbtm1zPjCjqqpKXl7/f4Hu2WefVVFRkZYsWaLc3FzFxMRo8+bN6t+/v/OYhQsXqq6uTllZWbp48aKGDx+ubdu2qX379s5j1q9fr5ycHCUlJcnLy0vp6elavXq1+04cAAAAgEexfPiSpJycHOXk5Nx1rbS09I59kyZN0qRJk+7582w2m1asWKEVK1bc85jg4GAVFRU1OSsAAAAAPAzLv2QZAAAAADzBY3HlqzUyxkh68MdKtqSGhgZdvXpVly9f5ok7bRQ19gzUue2jxp6BOrd91NgzNKXOt2aCWzPCvTB8PaTa2lpJ0pNPPmlxEgAAAACPg9raWgUGBt5z3WbuN57hrhobG1VdXa2AgADZbDZLs9z6wudTp05Z/oXPaBnU2DNQ57aPGnsG6tz2UWPP0JQ6G2NUW1srh8Ph8rDA23Hl6yF5eXmpe/fuVsdw0bFjR/4BaOOosWegzm0fNfYM1Lnto8ae4UHr/F9XvG7hgRsAAAAA4AYMXwAAAADgBgxfbYDdbld+fr7sdrvVUdBCqLFnoM5tHzX2DNS57aPGnqEl6swDNwAAAADADbjyBQAAAABuwPAFAAAAAG7A8AUAAAAAbsDwBQAAAABuwPDVBqxZs0Y9evRQ+/btlZCQoH379lkdCc1k2bJlstlsLlvv3r2tjoVH9Ntvv2ncuHFyOByy2WzavHmzy7oxRkuXLlV4eLh8fX01evRoHT9+3JqweCj3q/HUqVPv6O2UlBRrwuKhFBQUaPDgwQoICFDXrl2VlpamiooKl2Pq6+uVnZ2tzp07q0OHDkpPT9eZM2csSoyH8SB1fv755+/o55kzZ1qUGE1VWFiouLg45xcpJyYmauvWrc715u5jhq9W7uuvv9b8+fOVn5+vP//8U/Hx8UpOTtbZs2etjoZm0q9fP50+fdq5/f7771ZHwiOqq6tTfHy81qxZc9f1VatWafXq1Vq7dq327t0rf39/JScnq76+3s1J8bDuV2NJSklJcentDRs2uDEhHlVZWZmys7O1Z88e/fzzz2poaNCYMWNUV1fnPGbevHn6/vvvVVxcrLKyMlVXV2vixIkWpkZTPUidJWnGjBku/bxq1SqLEqOpunfvrrffflsHDhzQ/v37NWrUKI0fP15//fWXpBboY4NWbciQISY7O9v5/saNG8bhcJiCggILU6G55Ofnm/j4eKtjoAVJMiUlJc73jY2NJiwszLzzzjvOfRcvXjR2u91s2LDBgoR4VLfX2BhjMjMzzfjx4y3Jg5Zx9uxZI8mUlZUZY272rbe3tykuLnYec/ToUSPJ7N6926qYeES319kYY0aOHGnmzJljXSg0u6CgIPPZZ5+1SB9z5asVu379ug4cOKDRo0c793l5eWn06NHavXu3hcnQnI4fPy6Hw6GePXsqIyNDVVVVVkdCCzp58qRqampc+jowMFAJCQn0dRtTWlqqrl27KjY2Vm+88YYuXLhgdSQ8gkuXLkmSgoODJUkHDhxQQ0ODSy/37t1bERER9HIrdnudb1m/fr1CQkLUv39/LV68WFevXrUiHh7RjRs3tHHjRtXV1SkxMbFF+viJ5goL9zt//rxu3Lih0NBQl/2hoaE6duyYRanQnBISEvTll18qNjZWp0+f1vLly/Xcc8/pyJEjCggIsDoeWkBNTY0k3bWvb62h9UtJSdHEiRMVFRWlyspK5ebmKjU1Vbt371a7du2sjocmamxs1Ny5czVs2DD1799f0s1e9vHxUadOnVyOpZdbr7vVWZJeffVVRUZGyuFw6NChQ1q0aJEqKir07bffWpgWTXH48GElJiaqvr5eHTp0UElJifr27avy8vJm72OGL+Axlpqa6nwdFxenhIQERUZG6ptvvtH06dMtTAbgUUyZMsX5esCAAYqLi1OvXr1UWlqqpKQkC5PhYWRnZ+vIkSPck9vG3avOWVlZztcDBgxQeHi4kpKSVFlZqV69erk7Jh5CbGysysvLdenSJW3atEmZmZkqKytrkd/Fxw5bsZCQELVr1+6OJ66cOXNGYWFhFqVCS+rUqZOeeuopnThxwuooaCG3epe+9iw9e/ZUSEgIvd0K5eTk6IcfftDOnTvVvXt35/6wsDBdv35dFy9edDmeXm6d7lXnu0lISJAk+rkV8fHxUXR0tAYOHKiCggLFx8frww8/bJE+ZvhqxXx8fDRw4EDt2LHDua+xsVE7duxQYmKihcnQUq5cuaLKykqFh4dbHQUtJCoqSmFhYS59ffnyZe3du5e+bsP+/vtvXbhwgd5uRYwxysnJUUlJiX799VdFRUW5rA8cOFDe3t4uvVxRUaGqqip6uRW5X53vpry8XJLo51assbFR165da5E+5mOHrdz8+fOVmZmpQYMGaciQIfrggw9UV1enadOmWR0NzWDBggUaN26cIiMjVV1drfz8fLVr106vvPKK1dHwCK5cueLyP6InT55UeXm5goODFRERoblz52rlypWKiYlRVFSU8vLy5HA4lJaWZl1oNMl/1Tg4OFjLly9Xenq6wsLCVFlZqYULFyo6OlrJyckWpkZTZGdnq6ioSN99950CAgKc938EBgbK19dXgYGBmj59uubPn6/g4GB17NhRs2fPVmJiooYOHWpxejyo+9W5srJSRUVFGjt2rDp37qxDhw5p3rx5GjFihOLi4ixOjwexePFipaamKiIiQrW1tSoqKlJpaam2b9/eMn3cPA9khJU++ugjExERYXx8fMyQIUPMnj17rI6EZjJ58mQTHh5ufHx8TLdu3czkyZPNiRMnrI6FR7Rz504j6Y4tMzPTGHPzcfN5eXkmNDTU2O12k5SUZCoqKqwNjSb5rxpfvXrVjBkzxnTp0sV4e3ubyMhIM2PGDFNTU2N1bDTB3eoryaxbt855zL///mtmzZplgoKCjJ+fn5kwYYI5ffq0daHRZPerc1VVlRkxYoQJDg42drvdREdHmzfffNNcunTJ2uB4YK+//rqJjIw0Pj4+pkuXLiYpKcn89NNPzvXm7mObMcY87KQIAAAAAHgw3PMFAAAAAG7A8AUAAAAAbsDwBQAAAABuwPAFAAAAAG7A8AUAAAAAbsDwBQAAAABuwPAFAAAAAG7A8AUAAAAAbsDwBQCAm9lsNm3evNnqGAAAN2P4AgB4lKlTp8pms92xpaSkWB0NANDGPWF1AAAA3C0lJUXr1q1z2We32y1KAwDwFFz5AgB4HLvdrrCwMJctKChI0s2PBBYWFio1NVW+vr7q2bOnNm3a5PLnDx8+rFGjRsnX11edO3dWVlaWrly54nLMF198oX79+slutys8PFw5OTku6+fPn9eECRPk5+enmJgYbdmypWVPGgBgOYYvAABuk5eXp/T0dB08eFAZGRmaMmWKjh49Kkmqq6tTcnKygoKC9Mcff6i4uFi//PKLy3BVWFio7OxsZWVl6fDhw9qyZYuio6Ndfsfy5cv18ssv69ChQxo7dqwyMjL0zz//uPU8AQDuZTPGGKtDAADgLlOnTtVXX32l9u3bu+zPzc1Vbm6ubDabZs6cqcLCQufa0KFD9cwzz+jjjz/Wp59+qkWLFunUqVPy9/eXJP34448aN26cqqurFRoaqm7dumnatGlauXLlXTPYbDYtWbJEb731lqSbA12HDh20detW7j0DgDaMe74AAB7nhRdecBmuJCk4ONj5OjEx0WUtMTFR5eXlkqSjR48qPj7eOXhJ0rBhw9TY2KiKigrZbDZVV1crKSnpPzPExcU5X/v7+6tjx446e/bsw54SAKAVYPgCAHgcf3//Oz4G2Fx8fX0f6Dhvb2+X9zabTY2NjS0RCQDwmOCeLwAAbrNnz5473vfp00eS1KdPHx08eFB1dXXO9V27dsnLy0uxsbEKCAhQjx49tGPHDrdmBgA8/rjyBQDwONeuXVNNTY3LvieeeEIhISGSpOLiYg0aNEjDhw/X+vXrtW/fPn3++eeSpIyMDOXn5yszM1PLli3TuXPnNHv2bL322msKDQ2VJC1btkwzZ85U165dlZqaqtraWu3atUuzZ89274kCAB4rDF8AAI+zbds2hYeHu+yLjY3VsWPHJN18EuHGjRs1a9YshYeHa8OGDerbt68kyc/PT9u3b9ecOXM0ePBg+fn5KT09Xe+9957zZ2VmZqq+vl7vv/++FixYoJCQEL300kvuO0EAwGOJpx0CAPA/bDabSkpKlJaWZnUUAEAbwz1fAAAAAOAGDF8AAAAA4Abc8wUAwP/g0/gAgJbClS8AAAAAcAOGLwAAAABwA4YvAAAAAHADhi8AAAAAcAOGLwAAAABwA4YvAAAAAHADhi8AAAAAcAOGLwAAAABwg/8D0UbckZp2EpsAAAAASUVORK5CYII=\n" }, "metadata": {} } ], "source": [ "# GARCH-LSTM training and validation loss\n", "plot_history(history_garch_lstm, \"garch_lstm_model\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "FFxZ0MhZOiWV", "outputId": "74285b03-8fc3-47d7-871b-98db79dc22af" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step\n" ] } ], "source": [ "# GARCH-LSTM model predicting scaled residuals on test data\n", "scaled_residuals_predictions = garch_lstm_model.predict(gl_X_test_seq)\n", "\n", "# inverse tranform the scaled residuals\n", "unscaled_residuals_predictions = gl_res_scaler.inverse_transform(scaled_residuals_predictions)\n", "\n", "# aligning GARCH volatility with test period\n", "# create sequence function shifts the data by lookback steps\n", "# and gl_gv_test was sliced from the lookback index onwards to march the predictions\n", "garch_vol_component_aligned = gl_gv_test.iloc[lookback:].values.reshape(-1, 1)\n", "\n", "# combining GARCH volatility with predicted residuals to get final GARCH-LSTM volatility predictions\n", "garch_lstm_predictions = garch_vol_component_aligned + unscaled_residuals_predictions\n", "\n", "# aligning actual test targets to the same prediction period\n", "target_test_actual = y_test.iloc[lookback:].values.reshape(-1, 1)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 599 }, "id": "Lbfa9LE2OiZ2", "outputId": "7bfac991-28c0-4705-e0eb-032e56c14e90" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# creating results dataframe and plotting actual and prediction values\n", "garch_lstm_results = create_results_and_plot(\n", " model_name=\"GARCH-LSTM\",\n", " predictions=garch_lstm_predictions,\n", " actual=target_test_actual,\n", " y_test=y_test,\n", " lookback=lookback\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "P3tY56So8akl", "outputId": "33d5b49a-0438-4fdd-c039-11a638517599" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "{'MAE': 0.0307999686589109, 'RMSE': np.float64(0.033815862198374465), 'QLIKE': np.float32(0.2823852)}\n" ] } ], "source": [ "calculate_metrics(\"GARCH-LSTM\", garch_lstm_results)\n", "print(MODEL_RESULTS[\"GARCH-LSTM\"])\n" ] }, { "cell_type": "markdown", "metadata": { "id": "7PoFOxbnqjiu" }, "source": [ "\n", "## GARCH-GRU model for predicting Realised volatility" ] }, { "cell_type": "markdown", "source": [ "GARCH-GRU architechture" ], "metadata": { "id": "yd07pEYJM40Y" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "lWeFMExSwX37" }, "outputs": [], "source": [ "def build_garch_gru_model(input_shape):\n", "\n", " # building GRU model with GARCH residual of shape (21,27)\n", " model = Sequential([\n", " Input(shape=input_shape ),\n", "\n", " # GRU\n", " GRU(128,return_sequences=True),\n", " Dropout(0.2),\n", " GRU(32,return_sequences=False),\n", " Dropout(0.2),\n", "\n", " # regression head with two layers gradually narrow to the output\n", " Dense(32,activation=\"relu\"),\n", " Dense(16,activation=\"relu\"),\n", "\n", " # output layer\n", " Dense(1)\n", " ])\n", "\n", " return model" ] }, { "cell_type": "markdown", "source": [ "Installing GARCH-GRU model" ], "metadata": { "id": "5IPP-gxrNDLW" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 358 }, "id": "THo4yMOUaCMM", "outputId": "97ddb5a0-4e79-48ac-cc11-f5d72f864d73" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"sequential_27\"\u001b[0m\n" ], "text/html": [ "
Model: \"sequential_27\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ gru_18 (\u001b[38;5;33mGRU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m60,288\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_110 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ gru_19 (\u001b[38;5;33mGRU\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m15,552\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_111 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_125 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m1,056\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_126 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m528\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_127 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m17\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ gru_18 (GRU)                    │ (None, 21, 128)        │        60,288 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_110 (Dropout)           │ (None, 21, 128)        │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ gru_19 (GRU)                    │ (None, 32)             │        15,552 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_111 (Dropout)           │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_125 (Dense)               │ (None, 32)             │         1,056 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_126 (Dense)               │ (None, 16)             │           528 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_127 (Dense)               │ (None, 1)              │            17 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m77,441\u001b[0m (302.50 KB)\n" ], "text/html": [ "
 Total params: 77,441 (302.50 KB)\n",
              "
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 Trainable params: 77,441 (302.50 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" ], "text/html": [ "
 Non-trainable params: 0 (0.00 B)\n",
              "
\n" ] }, "metadata": {} } ], "source": [ "# installing GARCH-GRU model with shape (21,27)\n", "tf.keras.utils.set_random_seed(42)\n", "garch_gru_model = build_garch_gru_model(\n", " input_shape=(\n", " gl_X_train_seq.shape[1],\n", " gl_X_train_seq.shape[2]\n", " )\n", ")\n", "\n", "garch_gru_model.summary()\n" ] }, { "cell_type": "markdown", "source": [ "Compiling GARCH-GRU" ], "metadata": { "id": "qX2hGlXCNY2b" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ro-geBnnwX60" }, "outputs": [], "source": [ "# comiple GRU with adam optimiser\n", "garch_gru_model.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")\n" ] }, { "cell_type": "markdown", "source": [ "Call backs and training GARCH-GRU model" ], "metadata": { "id": "uVcXJ1gsNjBv" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "S6xfIvCLwX_t", "outputId": "f82d2fce-b3f5-48f4-dd44-516bdb3922f8" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 25ms/step - loss: 0.0192 - mae: 0.0917 - val_loss: 0.0066 - val_mae: 0.0621 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0040 - mae: 0.0480 - val_loss: 0.0090 - val_mae: 0.0824 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0029 - mae: 0.0410 - val_loss: 0.0086 - val_mae: 0.0836 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0025 - mae: 0.0388 - val_loss: 0.0116 - val_mae: 0.1007 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0021 - mae: 0.0351 - val_loss: 0.0062 - val_mae: 0.0713 - learning_rate: 5.0000e-04\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0019 - mae: 0.0320 - val_loss: 0.0050 - val_mae: 0.0626 - learning_rate: 5.0000e-04\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0017 - mae: 0.0313 - val_loss: 0.0080 - val_mae: 0.0832 - learning_rate: 5.0000e-04\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0016 - mae: 0.0298 - val_loss: 0.0073 - val_mae: 0.0792 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0015 - mae: 0.0292 - val_loss: 0.0072 - val_mae: 0.0786 - learning_rate: 5.0000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0014 - mae: 0.0280 - val_loss: 0.0035 - val_mae: 0.0512 - learning_rate: 2.5000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0014 - mae: 0.0274 - val_loss: 0.0046 - val_mae: 0.0612 - learning_rate: 2.5000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 16ms/step - loss: 0.0013 - mae: 0.0268 - val_loss: 0.0038 - val_mae: 0.0538 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 16ms/step - loss: 0.0012 - mae: 0.0262 - val_loss: 0.0053 - val_mae: 0.0660 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0012 - mae: 0.0259 - val_loss: 0.0043 - val_mae: 0.0588 - learning_rate: 1.2500e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0011 - mae: 0.0256 - val_loss: 0.0037 - val_mae: 0.0534 - learning_rate: 1.2500e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 10ms/step - loss: 0.0011 - mae: 0.0248 - val_loss: 0.0039 - val_mae: 0.0555 - learning_rate: 1.2500e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0011 - mae: 0.0252 - val_loss: 0.0043 - val_mae: 0.0588 - learning_rate: 6.2500e-05\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0012 - mae: 0.0253 - val_loss: 0.0041 - val_mae: 0.0568 - learning_rate: 6.2500e-05\n" ] } ], "source": [ "# callbacks\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_GARCH_GRU.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training\n", "history_garch_gru = garch_gru_model.fit(\n", " gl_X_train_seq,\n", " gl_y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "LD5NysY_wYCk", "outputId": "bd12c6f6-a34d-4ff5-b83f-58f49cec6a91" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# GARCH-GRU training and validation loss\n", "plot_history(history_garch_gru, \"GARCH-GRU\")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "R5mdod8UwYH9", "outputId": "f21b5600-6355-4f21-a073-56be661374d7" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 9ms/step\n" ] } ], "source": [ "# GARCH-GRU model predicting scaled residuals on test data\n", "scaled_residuals_predictions_gru = garch_gru_model.predict(gl_X_test_seq)\n", "\n", "# inverse tranform the scaled residuals\n", "unscaled_residuals_predictions_gru = gl_res_scaler.inverse_transform(scaled_residuals_predictions_gru)\n", "\n", "# aligning GARCH volatility with test period\n", "# create sequence function shifts the data by lookback steps\n", "# and gl_gv_test was sliced from the lookback index onwards to march the predictions\n", "garch_vol_component_aligned_gru = gl_gv_test.iloc[lookback:].values.reshape(-1, 1)\n", "\n", "# combining GARCH volatility with predicted residuals to get final GARCH-GRU volatility predictions\n", "garch_gru_predictions = garch_vol_component_aligned_gru + unscaled_residuals_predictions_gru\n", "\n", "# aligning actual test targets to the same prediction period\n", "target_test_actual_gru = y_test.iloc[lookback:].values.reshape(-1, 1)\n" ] }, { "cell_type": "markdown", "source": [ "Creating results dataframe and plotting actual and predicted values" ], "metadata": { "id": "Ab2-MpkgOpwI" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "13glBysWwYK-", "outputId": "a39da17a-d274-4662-9662-71621d52b05d" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" 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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "garch_gru_results", "summary": "{\n \"name\": \"garch_gru_results\",\n \"rows\": 773,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2021-02-03 00:00:00\",\n \"max\": \"2024-02-29 00:00:00\",\n \"num_unique_values\": 773,\n \"samples\": [\n \"2022-07-14 00:00:00\",\n \"2023-10-16 00:00:00\",\n \"2023-02-21 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Actual Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06338538102384665,\n \"min\": 0.06803955684916459,\n \"max\": 0.3489603286420088,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.22844653419723016,\n 0.12527449320834527,\n 0.1586309742806594\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"GARCH-GRU Predicted Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.07052761113436169,\n \"min\": 0.0176313956097736,\n \"max\": 0.3639190695800294,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.1965541483294039,\n 0.08861569626458014,\n 0.12851383523122\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 423 } ], "source": [ "# result and plotting actual and predicted values\n", "garch_gru_results = create_results_and_plot(\n", " model_name=\"GARCH-GRU\",\n", " predictions=garch_gru_predictions,\n", " actual=target_test_actual_gru,\n", " y_test=y_test,\n", " lookback=lookback\n", ")\n", "\n", "garch_gru_results.head()\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "NdkJ9j988wNe", "outputId": "e5f43f75-2aa8-4c03-e90a-81a208e0fade" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "{'MAE': 0.03234750376763688, 'RMSE': np.float64(0.035924747830836525), 'QLIKE': np.float32(0.4267763)}\n" ] } ], "source": [ "calculate_metrics(\"GARCH-GRU\", garch_gru_results)\n", "print(MODEL_RESULTS[\"GARCH-GRU\"])\n" ] }, { "cell_type": "markdown", "metadata": { "id": "Dv5kphIgqjtI" }, "source": [ "## comparision" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "P2KGmgw6QTjw" }, "outputs": [], "source": [ "# Calculate metrics for each model\n", "\n", "# deep learning models use results dataframes\n", "calculate_metrics(\"CNN\", cnn_results)\n", "calculate_metrics(\"GRU\", gru_results)\n", "calculate_metrics(\"LSTM\", lstm_results)\n", "calculate_metrics(\"Bi-LSTM\", bilstm_results)\n", "calculate_metrics(\"PatchTST\", patchtst_results)\n", "calculate_metrics(\"TFT\", tft_results)\n", "calculate_metrics(\"CNN-LSTM\", cnn_lstm_results)\n", "\n", "# GARCH hybrid models use raw arrays because they bypass create_results_and_plot()\n", "calculate_metrics(\n", " \"GARCH-LSTM\",\n", " predictions_arr=garch_lstm_predictions.flatten(),\n", " actual_arr=target_test_actual.flatten()\n", ")\n", "\n", "calculate_metrics(\n", " \"GARCH-GRU\",\n", " predictions_arr=garch_gru_predictions.flatten(),\n", " actual_arr=target_test_actual_gru.flatten()\n", ")\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 332 }, "id": "GPzxLdjpQY8m", "outputId": "d98b00d9-13bd-4612-c2ab-0504ed9d2fa7" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Model MAE RMSE QLIKE\n", "0 CNN 0.047632 0.063190 0.438225\n", "1 GRU 0.023624 0.033975 0.045816\n", "2 LSTM 0.017855 0.024050 0.039493\n", "3 Bi-LSTM 0.019281 0.024755 0.057786\n", "4 PatchTST 0.016398 0.022344 0.036804\n", "5 TFT 0.016607 0.022675 0.038387\n", "6 CNN-LSTM 0.019734 0.023906 0.063701\n", "7 GARCH-LSTM 0.030800 0.033816 0.282385\n", "8 GARCH-GRU 0.032348 0.035925 0.426776" ], "text/html": [ "\n", "
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ModelMAERMSEQLIKE
0CNN0.0476320.0631900.438225
1GRU0.0236240.0339750.045816
2LSTM0.0178550.0240500.039493
3Bi-LSTM0.0192810.0247550.057786
4PatchTST0.0163980.0223440.036804
5TFT0.0166070.0226750.038387
6CNN-LSTM0.0197340.0239060.063701
7GARCH-LSTM0.0308000.0338160.282385
8GARCH-GRU0.0323480.0359250.426776
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "comparison_before_sentiment", "summary": "{\n \"name\": \"comparison_before_sentiment\",\n \"rows\": 9,\n \"fields\": [\n {\n \"column\": \"Model\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9,\n \"samples\": [\n \"GARCH-LSTM\",\n \"GRU\",\n \"TFT\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.01035375378117092,\n \"min\": 0.016398,\n \"max\": 0.047632,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.0308,\n 0.023624,\n 0.016607\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.013017114405445028,\n \"min\": 0.022344,\n \"max\": 0.06319,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.033816,\n 0.033975,\n 0.022675\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 9,\n \"samples\": [\n 0.282384991645813,\n 0.045816000550985336,\n 0.0383870005607605\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 428 } ], "source": [ "# building comparison table for all 9 non sentiment models\n", "comparison_before_sentiment = pd.DataFrame([\n", " {\n", " \"Model\": model,\n", " \"MAE\": values[\"MAE\"],\n", " \"RMSE\": values[\"RMSE\"],\n", " \"QLIKE\": values[\"QLIKE\"]\n", " }\n", "\n", " for model, values in MODEL_RESULTS.items()\n", "])\n", "\n", "comparison_before_sentiment = comparison_before_sentiment.round(6)\n", "comparison_before_sentiment" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "-8uLozooQkHs", "outputId": "2fb148ea-1838-4223-f4c5-902885a80fa8" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Best model based on MAE:\n", "PatchTST -> 0.016398\n", "\n", "Best model based on RMSE:\n", "PatchTST -> 0.022344\n", "\n", "Best model based on QLIKE:\n", "PatchTST -> 0.036804\n" ] } ], "source": [ "# finding best model by three metrics\n", "\n", "best_mae = comparison_before_sentiment.loc[comparison_before_sentiment[\"MAE\"].idxmin()]\n", "best_rmse = comparison_before_sentiment.loc[comparison_before_sentiment[\"RMSE\"].idxmin()]\n", "best_qlike = comparison_before_sentiment.loc[comparison_before_sentiment[\"QLIKE\"].idxmin()]\n", "\n", "print(\"Best model based on MAE:\")\n", "print(best_mae[\"Model\"], \"->\", best_mae[\"MAE\"])\n", "\n", "print(\"\\nBest model based on RMSE:\")\n", "print(best_rmse[\"Model\"], \"->\", best_rmse[\"RMSE\"])\n", "\n", "print(\"\\nBest model based on QLIKE:\")\n", "print(best_qlike[\"Model\"], \"->\", best_qlike[\"QLIKE\"])" ] }, { "cell_type": "markdown", "metadata": { "id": "3SfBEQAx1KZT" }, "source": [ "## sentiment" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "3hWG6cZ9IsF4", "outputId": "ecf5cdfc-8e98-41dd-e3d4-c3ceb68f69aa" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n" ] } ], "source": [ "# mounting google drive to access news headlines dataset\n", "drive.mount('/content/drive')" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 224 }, "id": "uVV6hELIIqlU", "outputId": "cc07bf77-5874-480e-bf67-10face9e8814" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Shape: (19127, 3)\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ " Title Date CP\n", "19122 REITs vs. Stocks: What Does the Data Say? 2024-03-04 5130.95\n", "19123 Nasdaq Index, Dow Jones, S&P 500 News: Futures... 2024-03-04 5130.95\n", "19124 Nasdaq 100, Dow Jones, S&P 500 News: Cautious ... 2024-03-04 5130.95\n", "19125 Bank of America boosts S&P 500 target to 5,400... 2024-03-04 5130.95\n", "19126 S&P 500 Gains and Losses Today: Tesla Shares T... 2024-03-04 5130.95" ], "text/html": [ "\n", "
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TitleDateCP
19122REITs vs. Stocks: What Does the Data Say?2024-03-045130.95
19123Nasdaq Index, Dow Jones, S&P 500 News: Futures...2024-03-045130.95
19124Nasdaq 100, Dow Jones, S&P 500 News: Cautious ...2024-03-045130.95
19125Bank of America boosts S&P 500 target to 5,400...2024-03-045130.95
19126S&P 500 Gains and Losses Today: Tesla Shares T...2024-03-045130.95
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "repr_error": "0" } }, "metadata": {}, "execution_count": 431 } ], "source": [ "# path to the news headlines CSV stored in google drive\n", "NEWS_PATH = \"/content/drive/MyDrive/project/news_headlines.csv\"\n", "NEWS_TEXT_COL = \"Title\"\n", "NEWS_DATE_COL = \"Date\"\n", "\n", "news_df = pd.read_csv(NEWS_PATH)\n", "print(\"Shape:\", news_df.shape)\n", "news_df.tail()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "z_sNS1AUy9bm", "outputId": "19068b39-f26a-48f7-953b-dcc6e5a276ca" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n", "RangeIndex: 19127 entries, 0 to 19126\n", "Data columns (total 3 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Title 19127 non-null object \n", " 1 Date 19127 non-null object \n", " 2 CP 19127 non-null float64\n", "dtypes: float64(1), object(2)\n", "memory usage: 448.4+ KB\n" ] } ], "source": [ "# type of columns\n", "news_df.info()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 300 }, "id": "0u-5EXiKzfp3", "outputId": "8f6c5ac7-033c-4307-e8eb-0fc43d9a9fe7" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " CP\n", "count 19127.000000\n", "mean 3262.263384\n", "std 1142.218120\n", "min 676.530000\n", "25% 2166.580000\n", "50% 3426.920000\n", "75% 4288.050000\n", "max 5137.080000" ], "text/html": [ "\n", "
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CP
count19127.000000
mean3262.263384
std1142.218120
min676.530000
25%2166.580000
50%3426.920000
75%4288.050000
max5137.080000
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"news_df\",\n \"rows\": 8,\n \"fields\": [\n {\n \"column\": \"CP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5941.626572825178,\n \"min\": 676.53,\n \"max\": 19127.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 3262.2633836984364,\n 3426.92,\n 19127.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 433 } ], "source": [ "# statistical summary of numeric columns\n", "news_df.describe()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 178 }, "id": "cAB7cq74zhvz", "outputId": "d0b43359-7e20-4429-c8b7-56138d332108" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "Title 0\n", "Date 0\n", "CP 0\n", "dtype: int64" ], "text/html": [ "
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0
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" ] }, "metadata": {}, "execution_count": 434 } ], "source": [ "# check for missing headlines or dates\n", "news_df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "EfK4HFEdzj0a", "outputId": "b8aa0413-2f14-477f-ef10-fa9196deaa89" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Headlines : 19127\n", "Unique dates : 3507\n", "Date range : 2008-01-02 00:00:00 -> 2024-03-04 00:00:00\n", "Missing headlines : 0\n", "Duplicate headlines : 1073\n" ] } ], "source": [ "# parse date column to datetime\n", "news_df[NEWS_DATE_COL] = pd.to_datetime(news_df[NEWS_DATE_COL], errors=\"coerce\")\n", "\n", "print(\"Headlines :\", len(news_df))\n", "\n", "\n", "print(\"Unique dates :\", news_df[NEWS_DATE_COL].nunique())\n", "print(\"Date range :\", news_df[NEWS_DATE_COL].min(), \"->\", news_df[NEWS_DATE_COL].max())\n", "print(\"Missing headlines :\", news_df[NEWS_TEXT_COL].isnull().sum())\n", "print(\"Duplicate headlines :\", news_df[NEWS_TEXT_COL].duplicated().sum())" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 507 }, "id": "S2SPsg0hzvB6", "outputId": "bd413dc8-d66a-439f-c6b2-75070d719a02" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Days with >1 headline: 2966\n", "count 3507.000000\n", "mean 5.453949\n", "std 5.573481\n", "min 1.000000\n", "25% 2.000000\n", "50% 4.000000\n", "75% 6.000000\n", "max 55.000000\n", "dtype: float64\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# counts how many headlines per trading day\n", "headline_count = news_df.groupby(news_df[NEWS_DATE_COL].dt.date).size()\n", "\n", "# more headlines robust daily sentiment average\n", "print(\"Days with >1 headline:\", (headline_count > 1).sum())\n", "print(headline_count.describe())\n", "\n", "# plot headline frequency over time\n", "plt.figure(figsize=(12, 3))\n", "headline_count.plot()\n", "plt.title(\"Number of news headlines per day\")\n", "plt.xlabel(\"Date\")\n", "plt.ylabel(\"Headline count\")\n", "plt.show()" ] }, { "cell_type": "markdown", "source": [ "Cleaning news text" ], "metadata": { "id": "4SA-vT6tWa1t" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 224 }, "id": "iqSQqdF8zxus", "outputId": "35859d3b-c7d5-446f-fded-dac937bc8015" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Final news shape: (18153, 4)\n" ] }, { "output_type": 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clean_text
0JPMorgan Predicts 2008 Will Be \"Nothing But Net\"
1Dow Tallies Biggest First-session-of-year Poin...
22008 predictions for the S&P 500
3U.S. Stocks Higher After Economic Data, Monsan...
4U.S. Stocks Climb As Hopes Increase For More F...
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"news_df[[\\\"clean_text\\\"]]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"clean_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"Dow Tallies Biggest First-session-of-year Point Drop Ever\",\n \"U.S. Stocks Climb As Hopes Increase For More Fed Moves\",\n \"2008 predictions for the S&P 500\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 437 } ], "source": [ "# remove rows with missing headline or dates and drop exact duplicates\n", "news_df = (\n", " news_df\n", " .dropna(subset=[NEWS_TEXT_COL, NEWS_DATE_COL])\n", " .drop_duplicates(subset=[NEWS_TEXT_COL, NEWS_DATE_COL])\n", " .reset_index(drop=True)\n", ")\n", "\n", "def light_clean(text):\n", "\n", " # minimal text cleaning before passing headlines to FinBERT\n", " text = str(text)\n", " text = re.sub(r\"http\\S+|www\\.\\S+\", \" \", text) # URLs\n", " text = re.sub(r\"<.*?>\", \" \", text) # HTML tags\n", " text = re.sub(r\"\\s+\", \" \", text).strip() # collapse whitespace\n", " return text\n", "\n", "news_df[\"clean_text\"] = news_df[NEWS_TEXT_COL].apply(light_clean)\n", "\n", "# drop any rows that bacome empty strings after cleaning\n", "news_df = news_df[news_df[\"clean_text\"].str.len() > 0].reset_index(drop=True)\n", "\n", "print(\"Final news shape:\", news_df.shape)\n", "news_df[[\"clean_text\"]].head()" ] }, { "cell_type": "markdown", "source": [ "Loading FinBERT" ], "metadata": { "id": "heHzEkARXQ5B" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 84, "referenced_widgets": [ "12c7a8a8c0944bde8246b212702e242c", "99d203431aa549ebadb46b16c146e4c2", "e0ee857d48d14b8292735737a5655c00", "8057490c22174f9491be7a612e8ed1bd", "99c037ec8f4f46819d832b1e12b74b61", "eff0958c31074636a5aab0348dcc68cc", "f8498a348e0749f18fd5d7345f226908", "f4fc742a41694b269d669d38d50aa937", "1a7d6e94390643a99daf85dbf98f472f", "9d6301a6887e4b00be955362c6f4494e", "ab84fb68be044279bc626b844d4d287d" ] }, "id": "QK8RhQzSz9aM", "outputId": "5afede06-8265-4dc3-8ab8-13d68a0327dd" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "Loading weights: 0%| | 0/201 [00:00\n", "
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TitleDateCPclean_textprob_positiveprob_negativeprob_neutralsentiment
0JPMorgan Predicts 2008 Will Be \"Nothing But Net\"2008-01-021447.16JPMorgan Predicts 2008 Will Be \"Nothing But Net\"0.1883990.6041750.207426negative
1Dow Tallies Biggest First-session-of-year Poin...2008-01-021447.16Dow Tallies Biggest First-session-of-year Poin...0.0114260.9621490.026425negative
22008 predictions for the S&P 5002008-01-021447.162008 predictions for the S&P 5000.0529380.1228150.824246neutral
3U.S. Stocks Higher After Economic Data, Monsan...2008-01-031447.16U.S. Stocks Higher After Economic Data, Monsan...0.8616270.0641930.074181positive
4U.S. Stocks Climb As Hopes Increase For More F...2008-01-071416.18U.S. Stocks Climb As Hopes Increase For More F...0.5865670.1650550.248378positive
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\n", " \n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "news_df", "summary": "{\n \"name\": \"news_df\",\n \"rows\": 18153,\n \"fields\": [\n {\n \"column\": \"Title\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 18054,\n \"samples\": [\n \"ICICI Prudential US Bluechip Equity Fund Review\",\n \"Goldman Sachs and Morgan Stanley both hit hard by deal drought\",\n \"Stock Market Today: Dow, S&P Live Updates for March 23\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2008-01-02 00:00:00\",\n \"max\": \"2024-03-04 00:00:00\",\n \"num_unique_values\": 3507,\n \"samples\": [\n \"2022-09-27 00:00:00\",\n \"2010-12-02 00:00:00\",\n \"2018-10-26 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CP\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1167.8143692226408,\n \"min\": 676.53,\n \"max\": 5137.08,\n \"num_unique_values\": 3491,\n \"samples\": [\n 1183.08,\n 1433.32,\n 1704.76\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"clean_text\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 18054,\n \"samples\": [\n \"ICICI Prudential US Bluechip Equity Fund Review\",\n \"Goldman Sachs and Morgan Stanley both hit hard by deal drought\",\n \"Stock Market Today: Dow, S&P Live Updates for March 23\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"prob_positive\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.2785553653293365,\n \"min\": 0.006385950371623039,\n \"max\": 0.9578077793121338,\n \"num_unique_values\": 18083,\n \"samples\": [\n 0.42484810948371887,\n 0.035151075571775436,\n 0.024843474850058556\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"prob_negative\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.34343069862171116,\n \"min\": 0.006408332847058773,\n \"max\": 0.9765298366546631,\n \"num_unique_values\": 18079,\n \"samples\": [\n 0.9348456263542175,\n 0.0644625574350357,\n 0.8976438045501709\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"prob_neutral\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.3708482850995032,\n \"min\": 0.00827133096754551,\n \"max\": 0.9557605385780334,\n \"num_unique_values\": 18043,\n \"samples\": [\n 0.8897603154182434,\n 0.8913617134094238,\n 0.09235399216413498\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sentiment\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"negative\",\n \"neutral\",\n \"positive\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 441 } ], "source": [ "# converts pipline output into three separate probability values - positive, negative, neutral\n", "def extract_scores(result):\n", " scores = {item[\"label\"]: item[\"score\"] for item in result}\n", " return scores[\"positive\"], scores[\"negative\"], scores[\"neutral\"]\n", "\n", "# add individual class probabilities as columns\n", "news_df[[\"prob_positive\", \"prob_negative\", \"prob_neutral\"]] = [\n", " extract_scores(r) for r in raw_results\n", "]\n", "\n", "# assign the highest probability\n", "news_df[\"sentiment\"] = (\n", " news_df[[\"prob_positive\", \"prob_negative\", \"prob_neutral\"]]\n", " .idxmax(axis=1)\n", " .str.replace(\"prob_\", \"\", regex=False)\n", ")\n", "\n", "print(news_df[\"sentiment\"].value_counts())\n", "news_df.head()" ] }, { "cell_type": "markdown", "source": [ "Sentiment label distribution" ], "metadata": { "id": "sEPrxRQHlFi_" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 410 }, "id": "nIVKOl1z2S7a", "outputId": "f845ae9b-6c2b-437a-9804-fc538f7b70e0" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "plt.figure(figsize=(6, 4))\n", "sns.countplot(x=\"sentiment\", data=news_df,\n", " order=[\"negative\", \"neutral\", \"positive\"])\n", "plt.title(\"FinBERT sentiment label distribution\")\n", "plt.show()" ] }, { "cell_type": "markdown", "source": [ "Sentiment score distribution" ], "metadata": { "id": "fG1aDd_tlM2e" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 728 }, "id": "q5APIRzI2S_F", "outputId": "b357cf7a-6191-4d10-8133-0039831c713e" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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sentiment_score
count18153.000000
mean-0.064933
std0.503535
min-0.968342
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" ] }, "metadata": {}, "execution_count": 443 } ], "source": [ "# net sentiment score per headline - p(positive) - p(negative)\n", "# it ranges from -1 to +1 (strong negative to strong positive)\n", "news_df[\"sentiment_score\"] = news_df[\"prob_positive\"] - news_df[\"prob_negative\"]\n", "\n", "plt.figure(figsize=(7, 4))\n", "sns.histplot(news_df[\"sentiment_score\"], bins=50, kde=True)\n", "plt.title(\"Distribution of headline-level net sentiment\")\n", "plt.xlabel(\"P(positive) - P(negative)\")\n", "plt.show()\n", "\n", "news_df[\"sentiment_score\"].describe()" ] }, { "cell_type": "markdown", "source": [ "Aggregate to daily sentiment\n", "\n", "-aggregate headline-level scores to one value per trading day.\n", "\n", "-daily sentiment is mean net sentiment score of all the headlines per day\n", "\n", "-headline count is the number of headlines per day" ], "metadata": { "id": "VVDL_lCKxwXn" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 255 }, "id": "qR5TZ2kt2TCa", "outputId": "4898f870-eb20-48b8-99c9-a584fcaa2f36" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Daily sentiment rows: 3507\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ " daily_sentiment headline_count\n", "Date \n", "2008-01-02 -0.478792 3\n", "2008-01-03 0.797434 1\n", "2008-01-07 0.421512 1\n", "2008-01-09 -0.375604 2\n", "2008-01-10 0.259899 1" ], "text/html": [ "\n", "
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daily_sentimentheadline_count
Date
2008-01-02-0.4787923
2008-01-030.7974341
2008-01-070.4215121
2008-01-09-0.3756042
2008-01-100.2598991
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "daily_sentiment", "summary": "{\n \"name\": \"daily_sentiment\",\n \"rows\": 3507,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2008-01-02 00:00:00\",\n \"max\": \"2024-03-04 00:00:00\",\n \"num_unique_values\": 3507,\n \"samples\": [\n \"2022-09-27 00:00:00\",\n \"2010-12-02 00:00:00\",\n \"2018-10-26 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"daily_sentiment\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.28825340039164526,\n \"min\": -0.9658421417698264,\n \"max\": 0.9266174864023924,\n \"num_unique_values\": 3507,\n \"samples\": [\n -0.5001912658501949,\n 0.5541887767612934,\n -0.6035493519157171\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"headline_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5,\n \"min\": 1,\n \"max\": 55,\n \"num_unique_values\": 39,\n \"samples\": [\n 29,\n 30,\n 7\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 444 } ], "source": [ "\n", "daily_sentiment = (\n", " news_df\n", " .groupby(news_df[NEWS_DATE_COL].dt.normalize())\n", " .agg(daily_sentiment=(\"sentiment_score\", \"mean\"),\n", " headline_count=(\"sentiment_score\", \"size\"))\n", ")\n", "daily_sentiment.index.name = \"Date\"\n", "\n", "print(\"Daily sentiment rows:\", len(daily_sentiment))\n", "daily_sentiment.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 238 }, "id": "nQxv65pbKr2P", "outputId": "5ba05a01-de74-4772-8f5a-ad133e5086af" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " daily_sentiment headline_count\n", "Date \n", "2024-02-27 -0.059128 21\n", "2024-02-28 -0.095197 19\n", "2024-02-29 0.062807 22\n", "2024-03-01 0.319558 30\n", "2024-03-04 -0.157328 31" ], "text/html": [ "\n", "
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"daily_sentiment\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2024-02-27 00:00:00\",\n \"max\": \"2024-03-04 00:00:00\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"2024-02-28 00:00:00\",\n \"2024-03-04 00:00:00\",\n \"2024-02-29 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"daily_sentiment\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.1886615253789604,\n \"min\": -0.1573276690718147,\n \"max\": 0.3195582995191216,\n \"num_unique_values\": 5,\n \"samples\": [\n -0.09519655566270414,\n -0.1573276690718147,\n 0.06280738005245273\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"headline_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5,\n \"min\": 19,\n \"max\": 31,\n \"num_unique_values\": 5,\n \"samples\": [\n 19,\n 31,\n 22\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 445 } ], "source": [ "daily_sentiment.tail()" ] }, { "cell_type": "markdown", "source": [ "News and price overlap check" ], "metadata": { "id": "kevrImEk1g1c" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "jRnWyXiy2d_G", "outputId": "a1ae0f45-4577-43d7-dec2-890b525e4a7c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Trading days in df : 4005\n", "Days with news : 3507\n", "Overlapping trading days : 3483\n", "Coverage of trading days : 87.0%\n", "Overlap range : 2008-04-07 -> 2024-02-29\n", "Test-period coverage : 99.0% (786 of 794 days)\n" ] } ], "source": [ "# verifing how well the news coverage overlap with trading day index\n", "price_days = df.index.normalize()\n", "news_days = daily_sentiment.index.normalize()\n", "\n", "overlap = price_days.intersection(news_days)\n", "\n", "print(\"Trading days in df :\", len(price_days))\n", "print(\"Days with news :\", len(news_days))\n", "print(\"Overlapping trading days :\", len(overlap))\n", "print(\"Coverage of trading days : %.1f%%\" % (100 * len(overlap) / len(price_days)))\n", "\n", "if len(overlap):\n", " print(\"Overlap range :\", overlap.min().date(), \"->\", overlap.max().date())\n", "\n", "split_date = \"2021-01-01\"\n", "\n", "# test period coverage is more important\n", "test_days = price_days[price_days >= pd.Timestamp(split_date)]\n", "test_overlap = test_days.intersection(news_days)\n", "\n", "print(\"Test-period coverage : %.1f%% (%d of %d days)\"\n", " % (100 * len(test_overlap) / max(len(test_days), 1),\n", " len(test_overlap), len(test_days)))" ] }, { "cell_type": "markdown", "source": [ "Merge sentiment into financial data" ], "metadata": { "id": "Y_zlL-zv266t" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "4vtAmLUB2f5P", "outputId": "2456f03e-9401-41f7-f9a2-bd6b63bc77cd" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Missing sentiment before filling: 522\n", "Missing sentiment after filling : 0\n", "Days that had real news : 3483 of 4005\n" ] } ], "source": [ "# adding daily sentiment scores to the financial data frame\n", "df_sent = df.copy()\n", "df_sent.index = df_sent.index.normalize()\n", "\n", "df_sent = df_sent.join(daily_sentiment, how=\"left\")\n", "\n", "print(\"Missing sentiment before filling:\", df_sent[\"daily_sentiment\"].isnull().sum())\n", "\n", "# 1 if news was available, 0 if forward filled\n", "# forward fill was used, it carries most recent available sentiment score to days without news converage\n", "# because people still follow the available lastest news. and any Nan found defaults to 0.\n", "df_sent[\"has_news\"] = df_sent[\"daily_sentiment\"].notna().astype(int)\n", "df_sent[\"daily_sentiment\"] = df_sent[\"daily_sentiment\"].ffill().fillna(0)\n", "df_sent[\"headline_count\"] = df_sent[\"headline_count\"].fillna(0)\n", "\n", "print(\"Missing sentiment after filling :\", df_sent[\"daily_sentiment\"].isnull().sum())\n", "print(\"Days that had real news :\", int(df_sent[\"has_news\"].sum()), \"of\", len(df_sent))" ] }, { "cell_type": "markdown", "source": [ "5-day sentiment moving average" ], "metadata": { "id": "yg41RmBK481r" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 617 }, "id": "1mX9kHaw2i23", "outputId": "aec33c33-2f2a-45a5-9225-7e107b2a89bc" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " SP500_Open SP500_High SP500_Low SP500_Close SP500_Volume \\\n", "Date \n", "2008-04-03 1365.689941 1375.660034 1358.680054 1369.310059 3920100000 \n", "2008-04-04 1369.849976 1380.910034 1362.829956 1370.400024 3703100000 \n", "2008-04-07 1373.689941 1386.739990 1369.020020 1372.540039 3747780000 \n", "2008-04-08 1370.160034 1370.160034 1360.619995 1365.540039 3602500000 \n", "2008-04-09 1365.500000 1368.390015 1349.969971 1354.489990 3556670000 \n", "2008-04-10 1355.369995 1367.239990 1350.109985 1360.550049 3686150000 \n", "2008-04-11 1357.979980 1357.979980 1331.209961 1332.829956 3723790000 \n", "2008-04-14 1332.199951 1335.640015 1326.160034 1328.319946 3565020000 \n", "2008-04-15 1331.719971 1337.719971 1324.349976 1334.430054 3581230000 \n", "2008-04-16 1337.020020 1365.489990 1337.020020 1364.709961 4260370000 \n", "\n", " VIX SP500_Return Log_Return abs_return squared_return \\\n", "Date \n", "2008-04-03 23.209999 0.001302 0.001301 0.001301 1.692059e-06 \n", "2008-04-04 22.450001 0.000796 0.000796 0.000796 6.331062e-07 \n", "2008-04-07 22.420000 0.001562 0.001560 0.001560 2.434787e-06 \n", "2008-04-08 22.360001 -0.005100 -0.005113 0.005113 2.614362e-05 \n", "2008-04-09 22.809999 -0.008092 -0.008125 0.008125 6.601548e-05 \n", "2008-04-10 21.980000 0.004474 0.004464 0.004464 1.992795e-05 \n", "2008-04-11 23.459999 -0.020374 -0.020585 0.020585 4.237257e-04 \n", "2008-04-14 23.820000 -0.003384 -0.003390 0.003390 1.148886e-05 \n", "2008-04-15 22.780001 0.004600 0.004589 0.004589 2.106194e-05 \n", "2008-04-16 20.530001 0.022691 0.022438 0.022438 5.034481e-04 \n", "\n", " ... parkinson_vol RV_5 RV_21 RV_63 Next_Day_RV_21 \\\n", "Date ... \n", "2008-04-03 ... 0.118407 0.260369 0.299550 0.248485 0.299016 \n", "2008-04-04 ... 0.125647 0.254191 0.299016 0.248490 0.288953 \n", "2008-04-07 ... 0.122607 0.251226 0.288953 0.243486 0.288013 \n", "2008-04-08 ... 0.066612 0.041790 0.288013 0.243616 0.284305 \n", "2008-04-09 ... 0.129205 0.069891 0.284305 0.241330 0.255184 \n", "2008-04-10 ... 0.120200 0.076183 0.255184 0.239974 0.263104 \n", "2008-04-11 ... 0.189814 0.164705 0.263104 0.242964 0.262769 \n", "2008-04-14 ... 0.067908 0.166084 0.262769 0.241512 0.252997 \n", "2008-04-15 ... 0.095764 0.165311 0.252997 0.240717 0.262825 \n", "2008-04-16 ... 0.200874 0.222204 0.262825 0.239604 0.219954 \n", "\n", " volatility_regime daily_sentiment headline_count has_news \\\n", "Date \n", "2008-04-03 2 0.000000 0.0 0 \n", "2008-04-04 2 0.000000 0.0 0 \n", "2008-04-07 2 -0.011677 1.0 1 \n", "2008-04-08 2 -0.011677 0.0 0 \n", "2008-04-09 2 -0.011677 0.0 0 \n", "2008-04-10 2 -0.011677 0.0 0 \n", "2008-04-11 2 -0.011677 0.0 0 \n", "2008-04-14 2 -0.011677 0.0 0 \n", "2008-04-15 2 -0.011677 0.0 0 \n", "2008-04-16 2 0.230112 2.0 1 \n", "\n", " sentiment_ma5 \n", "Date \n", "2008-04-03 0.000000 \n", "2008-04-04 0.000000 \n", "2008-04-07 -0.003892 \n", "2008-04-08 -0.005839 \n", "2008-04-09 -0.007006 \n", "2008-04-10 -0.009342 \n", "2008-04-11 -0.011677 \n", "2008-04-14 -0.011677 \n", "2008-04-15 -0.011677 \n", "2008-04-16 0.036681 \n", "\n", "[10 rows x 32 columns]" ], "text/html": [ "\n", "
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "df_sent" } }, "metadata": {}, "execution_count": 448 } ], "source": [ "# it smooths the trend of news sentiment from past one week(5 trading days)\n", "df_sent[\"sentiment_ma5\"] = (df_sent[\"daily_sentiment\"].rolling(5, min_periods=1).mean())\n", "\n", "\n", "df_sent.head(10)" ] }, { "cell_type": "markdown", "source": [ "Volatility vs Sentiment" ], "metadata": { "id": "ZNLHZaWg8veK" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 468 }, "id": "aA2K06ZO2non", "outputId": "6571c9d1-8b56-4397-b2dc-a6e9e0a867db" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# If sentiment carries real information, volatility spikes should coinside with sharp drop into negative sentiment\n", "fig, ax1 = plt.subplots(figsize=(14, 5))\n", "\n", "ax1.plot(df_sent.index, df_sent[\"RV_21\"], color=\"crimson\", label=\"Volatility (21d)\")\n", "ax1.set_ylabel(\"21-day realized volatility\", color=\"crimson\")\n", "\n", "ax2 = ax1.twinx()\n", "ax2.plot(df_sent.index, df_sent[\"sentiment_ma5\"], color=\"darkgreen\", alpha=0.6, label=\"Sentiment\")\n", "ax2.set_ylabel(\"5-day sentiment\", color=\"darkgreen\")\n", "\n", "plt.title(\"21-day realized volatility vs news sentiment\")\n", "plt.show()" ] }, { "cell_type": "markdown", "source": [ "Correlation of sentiment and volatility" ], "metadata": { "id": "DTNSk8v99jvQ" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 595 }, "id": "dujgn9ma2r7_", "outputId": "6500bfdf-1a52-489a-8274-d0d92689a12f" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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K17//bt26BSEEvvrqq1xxBwQEAHj5/7kk4iHt8t7PljI1NUX58uVx+fLlIu1XmL+8AOQ5Myq/bS9+aS9YsAB16tTJcx9jY+M8y+Pj4+Hp6QlTU1PMmjULlStXhr6+Ps6dO4cvv/yywB4fTcpvxokQoshtGRgY4Pjx4zh69Cj27duHsLAwbNu2Da1bt8bBgweho6MDhUKBmjVrIjg4OM82Xv9FoMn4CtNuXuWvHkuhUMDGxkblL/xXvfqXbUHHKU785cuXR/PmzbF9+3ZMnToVp06dwv379zF//nyVegsXLsTgwYPx888/4+DBgxg3bhyCgoJw6tQpVKhQId/2GzduDCcnJ2zfvh39+/fH3r17kZqaij59+qgd86v++OMPdO3aFS1atMDKlSthb28PPT09hIaGYsuWLRo5hjr69u2LiRMnYvPmzZg6dSp++OEH1K9fP88/FvJSlM8U8PIzUJTvkbFjxyI0NBQTJkyAh4cHzMzMIJFI0LdvX5XvjBYtWuD27dvKn/3atWuxaNEihISEYOjQoQByvhPz+hxmZ2fnGUN+33+TJk3Kt7f7xR+VhYmH3m/vfXIDAB999BFWr16NkydPwsPDo8C6jo6OUCgUuHnzJqpXr64sj4qKQnx8fIHrZLzJi9slpqamaNu2bZH2PXbsGOLi4rB79260aNFCWR4REZGrbmETsxfncuPGjVzbrl+/DisrKxgZGRUpzqKSSqVo06YN2rRpg+DgYMydOxfTpk3D0aNHlbeYLly4gDZt2hT6vN5EU+0URuXKlfH777+jadOmBSbCRaFO/H369MGoUaNw48YNbNu2DYaGhujSpUuuejVr1kTNmjUxffp0nDhxAk2bNkVISAjmzJlTYPuffPIJlixZgsTERGzbtg1OTk5o3LixcvurnzUXFxdleUZGBiIiIgr8/7Br1y7o6+vjwIEDKlP1Q0NDc9XV9M+2oPYsLS3RuXNnbN68GQMGDMBff/31VhbPLMr3yM6dO+Ht7Y2FCxcqy9LS0vJc48nS0hI+Pj7w8fFBUlISWrRogZkzZyqTCQsLizxvj76p1+2FFz93PT29Qn3/vSkeer+997elAOCLL76AkZERhg4diqioqFzbb9++jSVLlgAAOnXqBAC5vqRe9Bx07txZ7Tjc3d1RuXJlfPvttyrjE16IiYnJd98Xf829+pdTRkYGVq5cmauukZFRobrr7e3tUadOHWzYsEHly+7y5cs4ePCg8loUVWxsLK5fv/7GsRtPnz7NVfbiL9H09HQAOb80Hz16lOfCeqmpqblumxXGi4TtbaxQ/MknnyA7OxuzZ8/OtS0rK0utGNSJv1evXtDR0cGPP/6IHTt24KOPPlJJXBMTE5GVlaWyT82aNSGVSpU/i4L06dMH6enp2LBhA8LCwvDJJ5+obG/bti1kMhmWLl2q8hn+/vvvkZCQUOD/Kx0dHUgkEpUegrt37+a5WJ+RkZFGf65vutYDBw7E1atXMXnyZOjo6KBv374aO3Z+ivI9oqOjk6u3ZdmyZbl6W+Li4lTeGxsbw9XVVeVnX7lyZVy/fl2l/QsXLuCvv/4qVNw2NjZo2bIlVq1ahSdPnhQYd2Hiofcbe26Q859yy5Yt6NOnD6pXr45BgwahRo0ayMjIwIkTJ7Bjxw7l84Rq164Nb29vrF69Wnkr6PTp09iwYQO6d++OVq1aqR2HVCrF2rVr0bFjR3z44Yfw8fGBg4MDHj16hKNHj8LU1BR79+7Nc98mTZrAwsIC3t7eGDduHCQSCTZt2pRnN7G7uzu2bdsGPz8/NGjQAMbGxnn+lQ7kdG137NgRHh4e8PX1RWpqKpYtWwYzMzO1l51fvnw5AgMDcfTo0QIHFc+aNQvHjx9H586d4ejoiOjoaKxcuRIVKlRQDkQdOHAgtm/fjhEjRuDo0aNo2rQpsrOzcf36dWzfvh0HDhxA/fr1ixSfu7s7AGDatGno27cv9PT00KVLlxLppfL09MRnn32GoKAgnD9/Hu3bt4eenh5u3ryJHTt2YMmSJfj444+L1GadOnWgo6OD+fPnIyEhAXK5HK1bt4aNjU2++9jY2KBVq1YIDg7G8+fPc90yOnLkCMaMGYPevXujSpUqyMrKwqZNm6Cjo4NevXq9MaZ69erB1dUV06ZNQ3p6eq72ra2t4e/vj8DAQHTo0AFdu3bFjRs3sHLlSjRo0EA5diwvnTt3RnBwMDp06ID+/fsjOjoaK1asgKura65xGO7u7vj9998RHByM8uXLw9nZWTkgVx0vPivjxo2Dl5dXrgSmc+fOKFeunHIMU0E/A00pyvfIRx99hE2bNsHMzAxubm44efIkfv/9d5QrV06lTTc3N7Rs2RLu7u6wtLTEP//8g507d2LMmDHKOkOGDEFwcDC8vLzg6+uL6OhohISE4MMPP1SZUFCQFStWoFmzZqhZsyaGDRsGFxcXREVF4eTJk3j48CEuXLhQ6HjoPVcaU7TeVeHh4WLYsGHCyclJyGQyYWJiIpo2bSqWLVumMjUxMzNTBAYGCmdnZ6GnpycqVqxY4CJ+r3sxFTy/abX//vuv6NmzpyhXrpyQy+XC0dFRfPLJJ+Lw4cPKOnlNXf3rr79E48aNhYGBgShfvrz44osvxIEDB3JNC05KShL9+/cX5ubmhVrE7/fffxdNmzYVBgYGwtTUVHTp0iXfRfxen7adV5yFnQp++PBh0a1bN1G+fHkhk8lE+fLlRb9+/UR4eLhKvYyMDDF//nzx4YcfCrlcLiwsLIS7u7sIDAwUCQkJynr4b2G0170+vVsIIWbPni0cHByEVCot1CJ+Z86cKdT18Pb2FkZGRrliWL16tXB3dxcGBgbCxMRE1KxZU3zxxRfi8ePHKnHm9XnKawrumjVrhIuLi9DR0Sn0tPA1a9YIAMLExESkpqaqbLtz544YMmSIqFy5snKxt1atWonff//9je2+MG3aNAFAuLq65ltn+fLlolq1akJPT0/Y2tqKkSNHFmoRv++//1588MEHQi6Xi2rVqonQ0FDlz+BV169fFy1atBAGBgbFXsRPiJzp/WPHjhXW1tZCIpHkOS181KhRAoDYsmVLgdfnVXl9Vl9d/O5V+X2fFOZ75NmzZ8LHx0dYWVkJY2Nj4eXlJa5fv57rcz5nzhzRsGFDYW5uLgwMDES1atXE119/rbL+kBBC/PDDD8rFTevUqSMOHDhQ4CJ+ebl9+7YYNGiQsLOzE3p6esLBwUF89NFHYufOnUWOh95fEiGKOZKSiIjyNXHiRHz//feIjIyEoaFhaYdD9F7gmBsiohKSlpaGH374Ab169WJiQ/QWccwNEZGGRUdH4/fff8fOnTsRFxeH8ePHl3ZIRO8VJjdERBp29epVDBgwADY2Nli6dGm+680QUcngbSkiIg1r2bIlhBCIioriDB7SOsePH0eXLl1Qvnx5SCSSPJddeN2xY8dQr149yOVyuLq6Yv369SUaI5MbIiIiKrTk5GTUrl0bK1asKFT9iIgIdO7cGa1atcL58+cxYcIEDB06FAcOHCixGDlbioiIiNQikUiwZ88edO/ePd86X375Jfbt26fymKO+ffsiPj4eYWFhJRIXe26IiIjeY+np6UhMTFR5aXK155MnT+Z6pIaXlxdOnjypsWO87p0ZULxPr3APkyPKj/Wl06UdApVhcamcqk3F07Gu3ls7liZ/Z56Z1g+BgYEqZQEBAWqvQv+6yMhI2NraqpTZ2toiMTERqampGnuu3qvemeSGiIiI3j5/f3/4+fmplL36ENqyiMkNERHRe0wul5doMmNnZ5frodRRUVEwNTUtkV4bgMkNERFRmSPRk5R2CIXm4eGB/fv3q5QdOnQIHh4eJXZMDigmIiKiQktKSsL58+dx/vx5ADlTvc+fP4/79+8DyLnNNWjQIGX9ESNG4M6dO/jiiy9w/fp1rFy5Etu3b8fEiRNLLEYmN0RERFRo//zzD+rWrYu6desCAPz8/FC3bl3MmDEDAPDkyRNlogMAzs7O2LdvHw4dOoTatWtj4cKFWLt2Lby8vEosxndmnRvOlqLi4mwpKg7OlqLiepuzpcJMq2usrQ6J1zTW1ruCPTdERESkVTigmIiIqIyR6LFvoiC8OkRERKRVmNwQERGRVuFtKSIiojJGqlt21rkpDUxuiIiIypiytIhfaeBtKSIiItIqTG6IiIhIq/C2FBERURnDMTcFY88NERERaRUmN0RERKRVeFuKiIiojOFsqYKx54aIiIi0CntuiIiIyhgOKC4Ye26IiIhIqzC5ISIiIq3C21JERERljESHt6UKwuSGiIiojJEyuSkQb0sRERGRVmFyQ0RERFqFt6WIiIjKGImUt6UKwp4bIiIi0irsuSEiIipjJDrsmygIrw4RERFpFSY3REREpFV4W4qIiKiM4To3BWPPDREREWkVJjdERESkVXhbioiIqIzhOjcFY3JDRERUxnDMTcF4W4qIiIi0CpMbIiIi0iq8LUVERFTGSHhbqkDsuSEiIiKtwp4bIiKiMkYiZd9EQXh1iIiISKswuSEiIiKtwttSREREZQwX8SsYkxsiIqIyhov4FYy3pYiIiEiraDy5uX37Nlq3bq3pZomIiIgKReO3pZKSkvC///1P080SERHRfzjmpmBFTm6WLl1a4PZHjx6pHQwRERFRcRU5uZkwYQLs7e0hk8ny3J6RkVHsoIiIiIjUVeTkxtHREfPnz8cnn3yS5/bz58/D3d292IERERFR3rhCccGKfHXc3d1x9uzZfLdLJBIIIYoVFBEREZG6itxzM2vWLKSkpOS73c3NDREREcUKioiIiPLHAcUFK3Jy4+bmVuB2PT09ODo6qh0QERERUXHwph0RERFpFbWSm/3792Po0KH44osvcP36dZVtz5494yJ+REREJUiqI9HYSxsVObnZsmULunbtisjISJw8eRJ169bF5s2bldszMjK4iB8REVEJkkglGnupY8WKFXBycoK+vj4aNWqE06dPF1h/8eLFqFq1KgwMDFCxYkVMnDgRaWlpah27MIo85mbBggUIDg7GuHHjAADbt2/HkCFDkJaWBl9fX40HWNZZNqsPl899YVavBvTL2+CfXqMQ9cvhgvdp0RBu306BsdsHSHvwBLeCvsPDjXtU6jiO7A8XP1/I7ayRePE6rkyYjYQzl5TbpXIZqi+YgvKfdIJULkPMwT9xeWwgMqLjSuQ8qWQJIbB7y2ocPfQTUpKTUKVaLQwe+SXsylfKd5/rV85h354fcPfWdcQ/i8V4/29Qv3HLfOuHrgzCkQN7MMB3Ijp07aey7fw/f2LP1u/x4N4t6OnJUK1GXUyc+q2mTo/eAiEEftuxAqeO7ERq8nM4V62L3r5fwdo+/zGSh35ag4unf0f04wjoyfThVKUOuvSfCNvyzir1IsLPY/+2pbh36xIkUikcHKthxNRVkMn0VeplZWYgeHo/PL53A5Pm7UQFp2olcq5UsrZt2wY/Pz+EhISgUaNGWLx4Mby8vHDjxg3Y2Njkqr9lyxZMmTIF69atQ5MmTRAeHo7BgwdDIpEgODi4RGIscs/NzZs30aVLF+X7Tz75BHv37sWECRMQEhKi0eC0gY6RIRIv3sDlcYGFqm/gVAENflmFuGN/48/63RCxbANqrpoDq3bNlHXse3dE9QX+uDlnBf5s2APPL15Ho33fQ2ZtqazjtnAqbDu3wrm+E3CyzUDol7eB+47lGj8/ejv27d6Ig/u2wWfkFMxcsA5yfQN8M3McMjLS890nPS0NlZw+gPdnk9/Y/j8nj+JW+GVYWFrn2nbmxBGELJqJFm0+wteLf8CMeWvQpIVXsc6H3r7Dv6zD8bDN6D10BibO2QKZ3AAhQZ8hs4DP0O1r/6BZ+36YMHsLRk5bDUV2JkLmDkd62ssZsxHh57EqaASq1mqCiXN+hN/XW9Hcqx+kkty/Xn7ZvBBmFrl/+VHZEhwcjGHDhsHHxwdubm4ICQmBoaEh1q1bl2f9EydOoGnTpujfvz+cnJzQvn179OvX7429PcVR5OTG1NQUUVFRKmWtWrXCr7/+ismTJ2PZsmUaC04bxBw4jvCAxYj6+fdC1Xcc3hepEQ9x7Yv5SLp+B/dWbkbkrgNwHj9YWcd5gg8efL8dDzfsRtK127g0KgDZKWmoOLgXAEDX1BgVfXrh6uR5iDt2ConnruDC0KmwbFIP5o1ql8RpUgkSQiBs71Z07T0E7o08UcnpA3w2YSbin8bi7Kn8bwHXdm+C3p+ORH2PVgW2/zQuGhvXLMRIv1nQ0VXtzM3OzsKmtcHoO3gs2nTsBXsHRzhUckGjZu00cm70dgghcPy3TWjfYzhq1m+N8o5VMWD0XCQ8i8alf/LvSR7hvwqNWnaHfUVXODhWQ/+RX+NZ7BM8jLiqrPPTxm/QosMAtO02FPYVXWFb3hl1PTpAV091Ffur//6B6xdPoNunk0rsPN8nEqlUY6/09HQkJiaqvNLT8056MzIycPbsWbRt21ZZJpVK0bZtW5w8eTLPfZo0aYKzZ88qk5k7d+5g//796NSpk+YvzIuYirpDw4YN8dtvv+Uq9/T0xN69e7F48WJNxPXeMm9cB7FHVD8gMYf+hEXjOgAAiZ4ezOp9iNjDJ15WEAKxR07AvHFdAIBZvRqQymQqdZJv3EHKvUfKdqjsiIl6jIRncahRu6GyzNDIGC5VPsStG5cK2PPNFAoFQhYFoHOPT1GhUuVc2+/evoFncdGQSqSYPuFTjBncEQsCx+PBvdvFOi69XXHRD5EYH4sqNT2UZQaGJnB0rYW74RcK3U5qShIAwNDYDADwPCEO925dhLGZJRZ/NQDTP2uBZYGDcef6OZX9nsfHYtuamfh0dBD0XrtVRaUvKCgIZmZmKq+goKA868bGxiI7Oxu2trYq5ba2toiMjMxzn/79+2PWrFlo1qwZ9PT0ULlyZbRs2RJTp07V+Lm8UOTkZuLEidDXz/vD2bJlS+zduxeDBg0qdmDvK7mtFdKjYlXK0qNioWdmAqm+HDIrC0h1dZH+2tiZ9Kg4yO2sctqws0J2egayEp6r1MmIjoPcNvdtB3q3xT/L+VmbmVuqlJuZWyLhWfHGUP26eyN0dHTR/qM+eW6Pjsx5EO7urWvQ7ZMh+Hx6MIyMTTB32ggkPU8o1rHp7Xken/OdYmJWTqXcxKwcEuNj89olF4VCgT0b5sG5al3YV/wAQE7SBABhO1fCo83HGDFlFSo4VceKOb6IeXIPQE6v0ebvpqNp209QqXINTZ3Se0+TA4r9/f2RkJCg8vL399dYrMeOHcPcuXOxcuVKnDt3Drt378a+ffswe/ZsjR3jdUUeUOzp6QlPT898t7dq1QqtWr3sBp83bx5GjBgBc3NzZVl6enquLq9MoYBeHvdoid43fx0LQ+h3L/9q+vyrRSVynIhb13Bw71bMDt4EiSTvGRNCKAAAXXv7oEGTnCUeho2bgfFDPsLpvw6jdYeeJRIbFc8/f/6K7WtejvMb/uXKYre5c90cPHlwC+MDNyrLhCLn89GkTW80atkDAFDBuTrCr5zCqWO70aXfRBwP24z0tGS07T602DFQyZDL5ZDL5YWqa2VlBR0dnVzDU6KiomBnZ5fnPl999RUGDhyIoUNzPgM1a9ZEcnIyhg8fjmnTpkFaAs/JKnJyU1Rz587FJ598opLcBAUFITBQdYBtP4klBuhYlXQ477z0qFjIbVWvg9zWCpkJz6FIS0dG7DMosrIgtyn3Wp1ySI/M+QssPTIWOnIZdM1MVHpvZDblkB4VU/InQcVSr2FzuFb9UPk+MzMDAJAQ/xTmli8/GwnxT+HoXEXt49y4eh6JCc8wYWhXZZlCkY0toUtwYO9WLFrzM8wtco7nUPHl7Bg9PRmsbR0QF5N3FzSVvhrureDoWkv5Puu/z9DzhDiYWbzsvX2eEAcHx6pvbG/nuq9x9dz/MHbmBpiXe/kLzPS/tuwqqN7StC3vgvjYnM/HzSuncTf8AiZ9Wk+lTvDUPnBv1hkDRs0t4tlRaZLJZHB3d8fhw4fRvXt3ADm9eocPH8aYMWPy3CclJSVXAqOjowMAJfYsyhJPbvIK3N/fH35+fiplRyz5JHEAiD91HtYdW6iUWbVpgmenzgMARGYmEs5dgVVrj5dTyiUSlGvlgXsrfwAAJJy7DEVGBqxaeyByz0EAgFEVZxg6OijboXeXgaERDAyNlO+FEDCzKIcrF8/A0SUnmUlNScKd8Cto06GX2sdp2rIjPnxlHA8ALJg5Dk1bdkSLNjkzIp1dq0FPT4Ynj+6hqlsdAEBWVhZio5+gnI292semkqVvYAR9A9XPkKm5FW5ePqWcfp2WkoR7ty6iabtP8m1HCIFdoXNx6cxhjJkRinI2FVS2W1o7wMzCBtGP76qUx0TeQ/XaOTM8ew32R+c+Y5XbEp5GIyToM3iP/xaOrjWLe6rvrdJ8tpSfnx+8vb1Rv359NGzYEIsXL0ZycjJ8fHwAAIMGDYKDg4Ny3E6XLl0QHByMunXrolGjRrh16xa++uordOnSRZnkaFqJJzd5yasLTFtvSekYGcLI9eVaJIbOFWBauxoyniYg7cETVJ3jB30HW1zw+RIAcG/1VjiOGoBqQZPxYP0uWLVqDPveHXGm62fKNiIWh6L2uvmIP3sZCWcuwmmcN3SNDPBgw24AQFZiEh6E7kL1BVOQ+TQBmc+TUGPxdDw7eQ7xfxd+8CC9GyQSCTp06Yuft6+DnX1FWNuWx84tITC3tIJ745e3iIO+GoX6jVuiXeecX1ZpqSmIevJQuT0m6jHu3QmHkYkprKztYGJqDhNTc5Vj6ejqwsyiHOwr5Kx9YmBojNYdemL3j2tQzsoWVtb22LdnEwCgUdM2JXzmpCkSiQQtOg7EwT2rYW3nCEsbB+zfvhxmFjaoWf/lz3HFbF/UatAGzTv0B5BzK+rsX/sxdNJSyA2MlONz9A2NIZPpQyKRoFUXH4TtWIHyjlXh4FQNZ/73M6IfRcBnQs76JRZWqkmwTG4IAChnW1GlF4jKjj59+iAmJgYzZsxAZGQk6tSpg7CwMOUg4/v376v01EyfPh0SiQTTp0/Ho0ePYG1tjS5duuDrr78usRhLJbl5n5i514DH4U3K927f5owOf7BxNy76+kNubw2Dii//86fefYgzXT+D20J/OI0dhLSHkbj02XTEHvpTWefJjt8gs7ZElYBxOYv4XbiG0x8NVVmg7+rnc1FdoUC97UshlcsQ+98iflQ2de45COlpaVi3cm7OIn7Va2NywBLIZC//SIiOfITnifHK9xG3rmHu9JHK91vWLQYANGvdGZ+NDyj0sfsOHgepjg5CFs1ERkY6Klf5EP5zVsDI2LTY50VvT5uuQ5CRnopta2YiNeU5XKrWw2dTQqD3ymcoNuoBkp4/U77/69A2AMDyWT4qbfUbMQeNWnYHALTsNBBZmen4aeN8pCQnonylKhg5bQ2s7PJfYJLKvjFjxuR7G+rYsWMq73V1dREQEICAgMJ/7xSXRJTUDa//mJiY4MKFC3BxcSmw3j69N9/3JSqI9aWSWxCKtF9cqmFph0BlXMe6em/tWOH9OmisrSo/hmmsrXcFe26IiIjKGEkJzDDSJkW+Ok+fPi1S/ebNm8PAwKCohyEiIiJSS5GTm/Lly6Nv3744dOhQoerv378f9vacVUFERERvR5GTmzVr1iAmJgYdOnSAk5MTZs6cibt375ZAaERERJQXqY5EYy9tVOTkZuDAgTh8+DBu3boFb29vbNiwAa6urmjXrh22bduGjIyMkoiTiIiIqFDUHpHk7OyMwMBAREREICwsDDY2NhgyZAjs7e0xbtw4TcZIREREr9Dks6W0kUaGW7dt2xabN2/Gxo05zxxZsWKFJpolIiIiKrJiTwW/d+8eQkNDsWHDBjx48ACtWrWCr6+vJmIjIiIiKjK1kpv09HTs2rUL69atw7Fjx+Dg4IDBgwfDx8cHTk5OGg6RiIiIXsV1bgpW5ORm1KhR2Lp1K1JSUtCtWzfs378f7dq1g0Ty8r5damoq17YhIiIqIdo6VkZTipz6/fnnn5g5cyYeP36Mbdu2oX379srEJj09HQsXLoSzs7PGAyUiIiIqjCInN2fOnMGTJ0/Qvn17NG3aFD/99BMAIDQ0FM7Ozli8eDEmTpyo6TiJiIiICqXIt6UCAgIQEhKCtm3b4sSJE+jduzd8fHxw6tQpBAcHo3fv3tDR0SmJWImIiAi8LfUmRU5utm/fjo0bN6Jr1664fPkyatWqhaysLFy4cEFl3A0RERFRaSjybamHDx/C3d0dAFCjRg3I5XJMnDiRiQ0RERG9E4rcc5OdnQ2ZTPayAV1dGBsbazQoIiIiyh+nghesyMmNEAKDBw+GXC4HAKSlpWHEiBEwMjJSqbd7927NREhERERUBEVObry9vVXef/rppxoLhoiIiN6MA4oLVuTkJjQ0tCTiICIiItII3rQjIiIirVLsB2cSERHR28UBxQVjckNERFTWcPmVAjH1IyIiIq3C5IaIiIi0Cm9LERERlTGcCl4w9twQERGRVmFyQ0RERFqFt6WIiIjKGE4FLxivDhEREWkV9twQERGVMRxQXDD23BAREZFWYXJDREREWoW3pYiIiMoYDiguGJMbIiKiMoZjbgrG1I+IiIi0CpMbIiIi0iq8LUVERFTG8LZUwdhzQ0RERFqFPTdERERlDWdLFYhXh4iIiLQKkxsiIiLSKrwtRUREVMZIJBxQXBD23BAREZFWYXJDREREWoW3pYiIiMoYPluqYExuiIiIyhgu4lcwpn5ERESkVZjcEBERkVbhbSkiIqKyhmNuCsSrQ0REREWyYsUKODk5QV9fH40aNcLp06cLrB8fH4/Ro0fD3t4ecrkcVapUwf79+0ssPvbcEBERlTGlOaB427Zt8PPzQ0hICBo1aoTFixfDy8sLN27cgI2NTa76GRkZaNeuHWxsbLBz5044ODjg3r17MDc3L7EYmdwQERFRoQUHB2PYsGHw8fEBAISEhGDfvn1Yt24dpkyZkqv+unXr8PTpU5w4cQJ6enoAACcnpxKNkbeliIiI3mPp6elITExUeaWnp+dZNyMjA2fPnkXbtm2VZVKpFG3btsXJkyfz3OeXX36Bh4cHRo8eDVtbW9SoUQNz585FdnZ2iZwPwOSGiIiozJFIpBp7BQUFwczMTOUVFBSU53FjY2ORnZ0NW1tblXJbW1tERkbmuc+dO3ewc+dOZGdnY//+/fjqq6+wcOFCzJkzR+PX5QXeliIiIiprNDjmxt/fH35+fiplcrlcY+0rFArY2Nhg9erV0NHRgbu7Ox49eoQFCxYgICBAY8d5FZMbIiKi95hcLi90MmNlZQUdHR1ERUWplEdFRcHOzi7Pfezt7aGnpwcdHR1lWfXq1REZGYmMjAzIZDL1g88Hb0sRERFRochkMri7u+Pw4cPKMoVCgcOHD8PDwyPPfZo2bYpbt25BoVAoy8LDw2Fvb18iiQ3A5IaIiKjMkUilGnsVlZ+fH9asWYMNGzbg2rVrGDlyJJKTk5WzpwYNGgR/f39l/ZEjR+Lp06cYP348wsPDsW/fPsydOxejR4/W2PV4HW9LERERUaH16dMHMTExmDFjBiIjI1GnTh2EhYUpBxnfv38f0leSpooVK+LAgQOYOHEiatWqBQcHB4wfPx5ffvllicUoEUKIEmu9CE5fTyjtEKiMi6nZsLRDoDKs+YLOpR0ClXGmE4Lf2rHi54/RWFvmXy7XWFvvCvbcEBERlTGluUJxWcAxN0RERKRV2HNDRERU1kjYN1EQXh0iIiLSKkxuiIiISKvwthQREVEZwwHFBWNyQ0REVNaosfje+4RXh4iIiLQKkxsiIiLSKrwtRUREVMZIJBxzUxC1em7u37+PvJ7aIITA/fv3ix0UERERkbrUSm6cnZ0RExOTq/zp06dwdnYudlBERERUAKlUcy8tpNZZCSHy7BJLSkqCvr5+sYMiIiIiUleRxtz4+fkByLnX99VXX8HQ0FC5LTs7G3///Tfq1Kmj0QCJiIiIiqJIyc2///4LIKfn5tKlS5DJZMptMpkMtWvXxqRJkzQbIREREangIn4FK1Jyc/ToUQCAj48PlixZAlNT0xIJioiIiEhdak0FDw0N1XQcRERERBqhVnKTnJyMefPm4fDhw4iOjoZCoVDZfufOHY0ER0RERHmQaOcsJ01RK7kZOnQo/ve//2HgwIGwt7fnYkJERET0zlArufntt9+wb98+NG3aVNPxEBER0ZtwQHGB1OrXsrCwgKWlpaZjISIiIio2tZKb2bNnY8aMGUhJSdF0PERERETFotZtqYULF+L27duwtbWFk5MT9PT0VLafO3dOI8ERERFRbhIOKC6QWslN9+7dNRwGERERFRrH3BRIreQmICBA03EQERERaYTa/Vrx8fFYu3Yt/P398fTpUwA5t6MePXqkseCIiIiIikqtnpuLFy+ibdu2MDMzw927dzFs2DBYWlpi9+7duH//PjZu3KjpOImIiOg/EinH3BREravj5+eHwYMH4+bNm9DX11eWd+rUCcePH9dYcERERERFpVbPzZkzZ7Bq1apc5Q4ODoiMjCx2UERERFQAPhmgQGr13MjlciQmJuYqDw8Ph7W1dbGDIiIiIlKXWslN165dMWvWLGRmZgIAJBIJ7t+/jy+//BK9evXSaIBERERERaFWcrNw4UIkJSXBxsYGqamp8PT0hKurK0xMTPD1119rOkYiIiJ6lVSquZcWUmvMjZmZGQ4dOoQ///wTFy9eRFJSEurVq4e2bdtqOj4iIiKiIlEruXmhWbNmaNasmaZiISIiIio2tZObM2fO4OjRo4iOjoZCoVDZFhwcXOzAiIiIKB+cLVUgtZKbuXPnYvr06ahatSpsbW0heeUiS3jBiYiIShQX8SuYWsnNkiVLsG7dOgwePFjD4RAREREVj1qpn1QqRdOmTTUdCxEREVGxqZXcTJw4EStWrNB0LERERFQYEqnmXlpIrdtSkyZNQufOnVG5cmW4ublBT09PZfvu3bs1EhwRERFRUamV3IwbNw5Hjx5Fq1atUK5cOQ4iJiIiepuk/L1bELWSmw0bNmDXrl3o3LmzpuMhIiIiKha1brZZWlqicuXKmo6FiIiIqNjUSm5mzpyJgIAApKSkaDoeIiIiegOJRKqxlzZS67bU0qVLcfv2bdja2sLJySnXgOJz585pJDgiIiKiolIruenevbuGwyAiIiLSDLWSm4CAAE3HQURERIXF2VIFKtZTwYmIiKgUaOlYGU0pdHJjaWmJ8PBwWFlZwcLCosC1bZ4+faqR4IiIiIiKqtDJzaJFi2BiYqL8NxfuIyIiondRoZMbb29v5b/5NHAiIqJSVModDCtWrMCCBQsQGRmJ2rVrY9myZWjYsOEb99u6dSv69euHbt264aeffiqx+NS6aaejo4Po6Ohc5XFxcdDR0Sl2UERERPRu2rZtG/z8/BAQEIBz586hdu3a8PLyyjMveNXdu3cxadIkNG/evMRjVCu5EULkWZ6eng6ZTFasgIiIiOgNpFLNvYooODgYw4YNg4+PD9zc3BASEgJDQ0OsW7cu332ys7MxYMAABAYGwsXFpThnXihFmi21dOlSAIBEIsHatWthbGys3JadnY3jx4+jWrVqmo2QiIiISkx6ejrS09NVyuRyOeRyea66GRkZOHv2LPz9/ZVlUqkUbdu2xcmTJ/M9xqxZs2BjYwNfX1/88ccfmgs+H0VKbhYtWgQgp+cmJCRE5RaUTCaDk5MTQkJCNBshERERlZigoCAEBgaqlAUEBGDmzJm56sbGxiI7Oxu2trYq5ba2trh+/Xqe7f/555/4/vvvcf78eU2F/EZFSm4iIiIAAK1atcLu3bthYWFRIkERERFRATS4zo2/vz/8/PxUyvLqtVHH8+fPMXDgQKxZswZWVlYaabMw1FrE7+jRo5qOg4iIiApLgysU53cLKi9WVlbQ0dFBVFSUSnlUVBTs7Oxy1b99+zbu3r2LLl26KMsUCgUAQFdXFzdu3EDlypWLEX3e1EpusrOzsX79ehw+fBjR0dHKQF84cuSIRoIjIiKid4dMJoO7uzsOHz6sfM6kQqHA4cOHMWbMmFz1q1WrhkuXLqmUTZ8+Hc+fP8eSJUtQsWLFEolTreRm/PjxWL9+PTp37owaNWpwQb9CEEJg95bVOHroJ6QkJ6FKtVoYPPJL2JWvlO8+16+cw749P+DureuIfxaL8f7foH7jlvnWD10ZhCMH9mCA70R06NpPZdv5f/7Enq3f48G9W9DTk6FajbqYOPVbTZ0elSDLZvXh8rkvzOrVgH55G/zTaxSifjlc8D4tGsLt2ykwdvsAaQ+e4FbQd3i4cY9KHceR/eHi5wu5nTUSL17HlQmzkXDm5ZeQVC5D9QVTUP6TTpDKZYg5+Ccujw1ERnRciZwnlSy9Wk0hr98KEkMTKGIfI/XoHiii7udd160BDNqrfoeIrEw8X/5lnvX1W38MWa0mSPvfT8j497iyXGrtAP1mH0HHrhKEQoGsWxeRdvxnIDNDcydGb52fnx+8vb1Rv359NGzYEIsXL0ZycjJ8fHwAAIMGDYKDgwOCgoKgr6+PGjVqqOxvbm4OALnKNUmt5Gbr1q3Yvn07OnXqpOl4tNa+3RtxcN82DB8fAGvb8ti1eRW+mTkO85Zvg0yWd3dgeloaKjl9AM82XbBkXt5fKi/8c/IoboVfhoWlda5tZ04cwfcr5qL3pyPhVqs+FNnZeHj/tkbOi0qejpEhEi/ewIP1u1B/54o31jdwqoAGv6zC/dVbcX7QJJRr7YGaq+Yg7UkMYg/9CQCw790R1Rf44/LoAMSfvgDncd5otO97HPuwAzJich6f4rZwKmw6euJc3wnITHyOGku+gvuO5Tjp2a+gw9M7SLdKHei36Ia0IzuQHXkfsrotYNRjOJI2zINITcpzH5GeiqQN814tybvtyjWhY+8IRVKCSrnEyBRGvUYiM/xfpB3bDcj0oe/ZHQbt+yF13wZNndr7qxSfLdWnTx/ExMRgxowZiIyMRJ06dRAWFqYcZHz//n1I1ZhirklqJTcymQyurq6ajkVrCSEQtncruvYeAvdGngCAzybMxBjvDjh76n/waNE+z/1quzdBbfcmb2z/aVw0Nq5ZiC9mLsHC2aqDwrKzs7BpbTD6Dh6Llu26KcsdKpX8OgOkGTEHjiPmwPE3V/yP4/C+SI14iGtfzAcAJF2/A8sm7nAeP1iZ3DhP8MGD77fj4YbdAIBLowJg07ElKg7uhdsL1kDX1BgVfXrh34GTEHfsFADgwtCpaHn5N5g3qo34vy9o+CypJMnreSLz8ilkXj0DAEg7vBO6zm7Q+7AhMv7JfxiBSHleYLsSIzPot+yBlD2rYNh9mMo2XWc3iOxspB3ZjReJUdrhnTAeOBlpZlYQCbHFOykqVWPGjMnzNhQAHDt2rMB9169fr/mAXqNWavX5559jyZIl+S7mR6pioh4j4VkcatR+uTS1oZExXKp8iFs3LhWw55spFAqELApA5x6fokKl3IOy7t6+gWdx0ZBKpJg+4VOMGdwRCwLH48E99txoK/PGdRB7RHW9iZhDf8KicR0AgERPD2b1PkTs4RMvKwiB2CMnYN64LgDArF4NSGUylTrJN+4g5d4jZTtURkh1ILWpgKwH4a8UCmTdD4eOvVP+++nJYDxkOox9v4JBlyGQWtq+VkECgw79kXH2KBRPo3Lvr6MLKLLwao+PyMoEAOg6OKt7NkSFolbPzZ9//omjR4/it99+w4cffgg9PT2V7bt379ZIcNoi/lnOGAUzc0uVcjNzSyQ8K974hV93b4SOji7af9Qnz+3RkY8AALu3rsGAIRNgZWOP337ejLnTRmDBdzthbGJWrOPTu0dua4X0KNW/itOjYqFnZgKpvhx6FmaQ6uoi/bWxM+lRcTCqmtOjJ7ezQnZ6BrISVP9yz4iOg9w2961PendJDIwgkerk6oURKc+hY2mT5z6KZ9FIO7QN2bGPIZEZQObeEkZ9xiFp0zcQ/91+kjVoDSgUyDif94Js2Q9uQtKiG2TurXLG4ejJoN+sc05MRqYaPMP3FMe6Fkit5Mbc3Bw9evRQ+6B5rYaYkZGe79iTsuavY2EI/S5I+f7zrxaVyHEibl3Dwb1bMTt4U76DuoXImcnWtbcPGjRpDQAYNm4Gxg/5CKf/OozWHXqWSGxEVHZlP7mH7Cf3lO9Tn0TAeNAUyGp6IP1kGKQ2FSCr0xzJW4LzbUPxNAqpB3+EfouukDftBCgEMs7/AUVyIsBefyphaiU3oaGhxTpoXqshDh39JYaN8c9nj7KlXsPmcK36ofJ95n8zAxLin8Lc8uUiRgnxT+HoXEXt49y4eh6JCc8wYWhXZZlCkY0toUtwYO9WLFrzM8wtco7nUPFlN7CengzWtg6Ii4lU+9j07kqPioXcVnWxLLmtFTITnkORlo6M2GdQZGVBblPutTrlkB6Z0+OTHhkLHbkMumYmKr03MptySI+KKfmTII0RqckQimxIDE1UyiWGJlAkFzymRkmhQHb0Q0jNcz5Xug4ukBgaw9j3q5ftSXUgb94VsrotkLRuDgAg68Y5JN04B4mhMURmBiAAWT1PKBI4467YSnnA7rtOreQGALKysnDs2DHcvn0b/fv3h4mJCR4/fgxTU1OVZ07lJa/VEC/eTVM3lHeOgaERDAyNlO+FEDCzKIcrF8/A0SUnmUlNScKd8Cto06GX2sdp2rIjPqyt+oj5BTPHoWnLjmjRJmfBJGfXatDTk+HJo3uo6lYHQM7PLjb6CcrZ2Kt9bHp3xZ86D+uOLVTKrNo0wbNT5wEAIjMTCeeuwKq1x8sp5RIJyrXywL2VPwAAEs5dhiIjA1atPRC55yAAwKiKMwwdHZTtUBmhyIYi+iF0K36ArNuX/yuUQLfiB8i48Gfh2pBIILWyR9bdawCAzGv/IOt+uEoVwx6fIfPaP8i8ejrX7iIlZ0aWnltDIDsTWfdvqH06RIWhVnJz7949dOjQAffv30d6ejratWsHExMTzJ8/H+np6W98vlReqyHKZNrbTSmRSNChS1/8vH0d7Owrwtq2PHZuCYG5pRXcG3sq6wV9NQr1G7dEu86fAADSUlMQ9eShcntM1GPcuxMOIxNTWFnbwcTUHCam5irH0tHVhZlFOdhXcAQAGBgao3WHntj94xqUs7KFlbU99u3ZBABo1LRNCZ85aYKOkSGMXF+uh2ToXAGmtash42kC0h48QdU5ftB3sMUFn5zlAu6t3grHUQNQLWgyHqzfBatWjWHfuyPOdP1M2UbE4lDUXjcf8WcvI+HMRTiN84aukQEe/Dd7KisxCQ9Cd6H6ginIfJqAzOdJqLF4Op6dPMeZUmVQ+rn/waB9P2RHPciZCl7PExI9mTIR0W/fDyI5Eel/7QMAyBq1R/aTu1DEx0IiN4C8fitITS2ReflvAIBIS4FIS1E9iCIbIuU5FM9e9uzp1W6G7McRQGYGdCpVgX7zLjnHSNeeP2bp3aT2In7169fHhQsXUK7cy67tHj16YNiwYQXs+f7q3HMQ0tPSsG7l3JxF/KrXxuSAJSrjjKIjH+F5YrzyfcSta5g7faTy/ZZ1iwEAzVp3xmfjAwp97L6Dx0Gqo4OQRTORkZGOylU+hP+cFTAy5qC+ssDMvQY8Dm9Svnf7dioA4MHG3bjo6w+5vTUMKr7shUu9+xBnun4Gt4X+cBo7CGkPI3Hps+nKaeAA8GTHb5BZW6JKwLicRfwuXMPpj4aqLNB39fO5qK5QoN72pZDKZYj9bxE/Knuyws8jzcAYco8OkBiaQhH7CCk/rVb2qEhNLaB4ZVaTRG4Ag7afQGJoCpGeguzoh0jetjTvWVEF0LGtCHljL0j05DmDlA/vQOb1sxo9t/cWBxQXSCLUmM9drlw5nDhxAlWrVoWJiQkuXLgAFxcX3L17F25ubkhJSXlzI685fT3hzZWIChBTs+GbKxHlo/mCzqUdApVxphPyH2CtaWn7V2usLf1OwzXW1rtCrRFJCoUC2dnZucofPnwIExOTPPYgIiIiejvUSm7at2+PxYsXK99LJBIkJSUhICCAj2QgIiKiUqXWmJuFCxfCy8sLbm5uSEtLQ//+/XHz5k1YWVnhxx9/1HSMRERE9CpOBS+QWslNhQoVcOHCBWzbtg0XLlxAUlISfH19MWDAABgYGGg6RiIiIqJCU3udG11dXQwYMAADBgzQZDxERET0JpwtVSC1+rU2bNiAffv2Kd9/8cUXMDc3R5MmTXDv3r0C9iQiIiIqWWolN3PnzlXefjp58iSWL1+Ob775BlZWVpg4caJGAyQiIiIqCrVuSz148ACurq4AgJ9++gkff/wxhg8fjqZNm6Jly5aajI+IiIheJ+GA4oKodXWMjY0RF5ezkunBgwfRrl07AIC+vj5SU1M1Fx0RERFREanVc9OuXTsMHToUdevWRXh4uHJtmytXrsDJyUmT8REREREViVo9NytWrICHhwdiYmKwa9cu5fOlzp49i379+mk0QCIiInqNRKK5lxZSq+fG3Nwcy5cvz1UeGKj6UL1Ro0Zh1qxZsLKyUi86IiIiyo2L+BWoRK/ODz/8gMTExJI8BBEREZGKEk1u1HjgOBEREVGxqL1CMREREZUOoaVjZTSFN+2IiIhIq7DnhoiIqKzhIn4F4tUhIiIirVKiyc2nn34KU1PTkjwEERERkQq1khsnJyfMmjUL9+/fL7Ded999xzVuiIiINE0i1dxLC6l1VhMmTMDu3bvh4uKCdu3aYevWrUhPT9d0bERERJQHIZFo7KWN1E5uzp8/j9OnT6N69eoYO3Ys7O3tMWbMGJw7d07TMRIREREVWrH6o+rVq4elS5fi8ePHCAgIwNq1a9GgQQPUqVMH69at4yJ+RERE9NYVayp4ZmYm9uzZg9DQUBw6dAiNGzeGr68vHj58iKlTp+L333/Hli1bNBUrERERAVo7VkZT1Epuzp07h9DQUPz444+QSqUYNGgQFi1ahGrVqinr9OjRAw0aNNBYoERERESFoVZy06BBA7Rr1w7fffcdunfvDj09vVx1nJ2d0bdv32IHSERERFQUaiU3d+7cgaOjY4F1jIyMEBoaqlZQREREVAAtneWkKWrdtHtTYkNERERUWgrdc2NhYQFJITPFp0+fqh0QERERvYGUA4oLUujkZvHixSUYBhEREZFmFDq58fb2Lsk4iIiIiDSi0MlNYmKi8iGYiYmJBdblwzKJiIhKjrY+NkFTijTm5smTJ7CxsYG5uXme42+EEJBIJMjOztZokERERPQKLuJXoEInN0eOHIGlpSUA4OjRoyUWEBEREVFxFDq58fT0zPPfRERERO+SYj1bKiUlBffv30dGRoZKea1atYoVFBEREeVP8LZUgdRKbmJiYuDj44Pffvstz+0cc0NERESlRa3Ub8KECYiPj8fff/8NAwMDhIWFYcOGDfjggw/wyy+/aDpGIiIiepVEormXFlKr5+bIkSP4+eefUb9+fUilUjg6OqJdu3YwNTVFUFAQOnfurOk4iYiIiApFrZ6b5ORk2NjYAMiZIh4TEwMAqFmzJs6dO6e56IiIiIiKSK3kpmrVqrhx4wYAoHbt2li1ahUePXqEkJAQ2NvbazRAIiIiUiUkUo29tJFaZzV+/Hg8efIEABAQEIDffvsNFStWxJIlSzB37lyNBkhERETvlhUrVsDJyQn6+vpo1KgRTp8+nW/dNWvWoHnz5rCwsICFhQXatm1bYH1NUGvMzaeffqr8t7u7O+7du4fr16+jUqVKsLKy0lhwRERE9G7Ztm0b/Pz8EBISgkaNGmHx4sXw8vLCjRs3lENWXnXs2DH069cPTZo0gb6+PubPn4/27dvjypUrcHBwKJEYJUIIUZiKfn5+hW40ODi4yIGcvp5Q5H2IXhVTs2Fph0BlWPMFnAhBxWM6oei/+9T1/Mx+jbVl0qBTkeo3atQIDRo0wPLlywEACoUCFStWxNixYzFlypQ37p+dnQ0LCwssX74cgwYNUivmNyl0z82///6r8v7cuXPIyspC1apVAQDh4eHQ0dGBu7u7ZiMkIiIiVaU0ViYjIwNnz56Fv7+/skwqlaJt27Y4efJkodpISUlBZmam8pFOJaHQyc2rz5MKDg6GiYkJNmzYAAsLCwDAs2fP4OPjg+bNm2s+SiIiIioR6enpSE9PVymTy+WQy+W56sbGxiI7Oxu2trYq5ba2trh+/Xqhjvfll1+ifPnyaNu2rfpBv4Faqd/ChQsRFBSkTGyAnCnhc+bMwcKFCzUWHBEREZWsoKAgmJmZqbyCgoJK5Fjz5s3D1q1bsWfPHujr65fIMQA1BxQnJiYq17Z5VUxMDJ4/f17soIiIiCh/QoMrC/v7++caV5tXrw0AWFlZQUdHB1FRUSrlUVFRsLOzK/A43377LebNm4fff/+9xJ9BqVbPTY8ePeDj44Pdu3fj4cOHePjwIXbt2gVfX1/07NlT0zESERFRCZHL5TA1NVV55ZfcyGQyuLu74/Dhw8oyhUKBw4cPw8PDI99jfPPNN5g9ezbCwsJQv359jZ/D69TquQkJCcGkSZPQv39/ZGZm5jSkqwtfX18sWLBAowESERHRa0px8T0/Pz94e3ujfv36aNiwIRYvXozk5GT4+PgAAAYNGgQHBwflra358+djxowZ2LJlC5ycnBAZGQkAMDY2hrGxcYnEqFZyY2hoiJUrV2LBggW4ffs2AKBy5cowMjLSaHBERET0bunTpw9iYmIwY8YMREZGok6dOggLC1MOMr5//z6k0pfJ13fffYeMjAx8/PHHKu0EBARg5syZJRJjode5KWlc54aKi+vcUHFwnRsqrre5zk3iuUMaa8u0XjuNtfWuUKvnhoiIiEqPgOYGFGsj7XxiFhEREb23mNwQERGRVuFtKSIiojJGlOJsqbKAyQ0REVFZw+SmQLw6REREpFWY3BAREZFWeWduS8WlGpZ2CFTGcZ0SKo4/Ju8r7RCojOv8Fte50eSzpbQRe26IiIhIq7wzPTdERERUOJwtVTBeHSIiItIqTG6IiIhIq/C2FBERUVnDAcUFYnJDRERUxnDMTcF4dYiIiEirMLkhIiIircLbUkRERGWMAMfcFIQ9N0RERKRVmNwQERGRVuFtKSIiojKGs6UKVqzk5vHjx1i1ahVu3boFe3t7DB06FNWqVdNUbERERERFVqTUz9DQEDExMQCAq1evws3NDVu2bEFmZib27dsHd3d3XLx4sUQCJSIiov9IJJp7aaEiJTdpaWkQQgAApk6dihYtWuDatWvYvn07rly5gq5du2LatGklEigRERFRYah9W+rcuXPYvHkzdHVzmpBKpfjiiy/QuXNnjQVHREREVFRFSm4kEgkk/3VhSaVSmJmZqWw3NzfHs2fPNBcdERER5SI42blARUpuhBCoUqUKJBIJkpKScPHiRdSqVUu5/datW7Czs9N4kERERPSS0NKxMppSpOQmNDRU5b2rq6vK+1OnTqFHjx7Fj4qIiIhITUVKbry9vQvc/tVXXxUrGCIiIqLi4iJ+REREZQwX8SuY2snNzp07sX37dty/fx8ZGRkq286dO1fswIiIiIjUoVbqt3TpUvj4+MDW1hb//vsvGjZsiHLlyuHOnTvo2LGjpmMkIiKiVwhINPbSRmolNytXrsTq1auxbNkyyGQyfPHFFzh06BDGjRuHhIQETcdIREREVGhqJTf3799HkyZNAAAGBgZ4/vw5AGDgwIH48ccfNRcdERERURGpldzY2dnh6dOnAIBKlSrh1KlTAICIiAjl4xmIiIioZAiJVGMvbaTWWbVu3Rq//PILAMDHxwcTJ05Eu3bt0KdPH65zQ0RERKVKrdlSq1evhkKhAACMHj0a5cqVw4kTJ9C1a1d89tlnGg2QiIiIqCjUSm6kUimk0pedPn379kXfvn01FhQRERHlj49fKJja69ykpaXh4sWLiI6OVvbivNC1a9diB0ZERER509Yp3JqiVnITFhaGQYMGITY2Ntc2iUSC7OzsYgdGREREpA61BhSPHTsWvXv3xpMnT6BQKFReTGyIiIioNKnVcxMVFQU/Pz/Y2tpqOh4iIiJ6A22dwq0pal2djz/+GMeOHdNwKERERETFp1bPzfLly9G7d2/88ccfqFmzJvT09FS2jxs3TiPBERERUW4cUFwwtZKbH3/8EQcPHoS+vj6OHTsGyStT0iQSCZMbIiIiKjVqJTfTpk1DYGAgpkyZorLeDREREVFpUyu5ycjIQJ8+fZjYEBERlQIOKC6YWlfH29sb27Zt03QsREREVAgCEo29tJFaPTfZ2dn45ptvcODAAdSqVSvXgOLg4GCNBEdERERUVGolN5cuXULdunUBAJcvX1bZJuHzLoiIiKgUqZXcHD16tFD1Hj58iPLly3NsDhERkQZxzE3BSvTquLm54e7duyV5CCIiInrLVqxYAScnJ+jr66NRo0Y4ffp0gfV37NiBatWqQV9fHzVr1sT+/ftLNL4STW6EECXZPBEREb1l27Ztg5+fHwICAnDu3DnUrl0bXl5eiI6OzrP+iRMn0K9fP/j6+uLff/9F9+7d0b1791zDWjSJ/VpERERlTGnOlgoODsawYcPg4+MDNzc3hISEwNDQEOvWrcuz/pIlS9ChQwdMnjwZ1atXx+zZs1GvXj0sX768uJchX0xuiIiIqFAyMjJw9uxZtG3bVlkmlUrRtm1bnDx5Ms99Tp48qVIfALy8vPKtrwlqDSgmIiKi0iM0ODM5PT0d6enpKmVyuRxyuTxX3djYWGRnZ8PW1lal3NbWFtevX8+z/cjIyDzrR0ZGFjPy/JVozw2nhRMREb3bgoKCYGZmpvIKCgoq7bCKpUR7bjigmIiI6N3m7+8PPz8/lbK8em0AwMrKCjo6OoiKilIpj4qKgp2dXZ772NnZFam+JqjVczNkyBA8f/48V3lycjKGDBmifH/16lU4OjqqHx0RERHlIoREYy+5XA5TU1OVV37JjUwmg7u7Ow4fPqwsUygUOHz4MDw8PPLcx8PDQ6U+ABw6dCjf+pqgVnKzYcMGpKam5ipPTU3Fxo0ble8rVqwIHR0d9aMjIiKiXASkGnsVlZ+fH9asWYMNGzbg2rVrGDlyJJKTk+Hj4wMAGDRoEPz9/ZX1x48fj7CwMCxcuBDXr1/HzJkz8c8//2DMmDEaux6vK9JtqcTERAghIITA8+fPoa+vr9yWnZ2N/fv3w8bGRuNBEhER0buhT58+iImJwYwZMxAZGYk6deogLCxMOWj4/v37Kk8maNKkCbZs2YLp06dj6tSp+OCDD/DTTz+hRo0aJRajRBRhYIxUKi1wkLBEIkFgYCCmTZtW5EB++zezyPsQvarp/74s7RCoDPtj8r7SDoHKuM6ZN97asW7evqextj6orH3DR4rUc3P06FEIIdC6dWvs2rULlpaWym0ymQyOjo4oX768xoMkIiKil9RZfO99UqTkxtPTEwAQERGBihUr8oGYRERE9M5Rayq4o6Mj4uPjcfr0aURHR0OhUKhsHzRokEaCIyIiotzYc1MwtZKbvXv3YsCAAUhKSoKpqanKOByJRMLkhoiIiEqNWsnN559/jiFDhmDu3LkwNDTUdExaSQiB33aswKkjO5Ga/BzOVeuit+9XsLbPfyDXoZ/W4OLp3xH9OAJ6Mn04VamDLv0nwra8s0q9iPDz2L9tKe7dugSJVAoHx2oYMXUVZDJ9lXpZmRkInt4Pj+/dwKR5O1HBqVqJnCtpnl6tppDXbwWJoQkUsY+RenQPFFH3867r1gAG7fuplImsTDxfnveAa/3WH0NWqwnS/vcTMv49riyXWjtAv9lH0LGrBKFQIOvWRaQd/xnIzNDciVGJs2xWHy6f+8KsXg3ol7fBP71GIeqXwwXv06Ih3L6dAmO3D5D24AluBX2Hhxv3qNRxHNkfLn6+kNtZI/HidVyZMBsJZy4pt0vlMlRfMAXlP+kEqVyGmIN/4vLYQGREx5XIeRK9Sq1BM48ePcK4ceOY2BTB4V/W4XjYZvQeOgMT52yBTG6AkKDPkJmRnu8+t6/9g2bt+2HC7C0YOW01FNmZCJk7HOlpKco6EeHnsSpoBKrWaoKJc36E39db0dyrH6SS3D/aXzYvhJkFp+qXNbpV6kC/RTeknzqA5C3ByI55DKMewyExMM53H5GeiuerA5SvpHWz8267ck3o2DtCkZSgUi4xMoVRr5FQJMQieetipPy0GtJydrmSJnr36RgZIvHiDVweF1io+gZOFdDgl1WIO/Y3/qzfDRHLNqDmqjmwatdMWce+d0dUX+CPm3NW4M+GPfD84nU02vc9ZNYvJ5m4LZwK286tcK7vBJxsMxD65W3gvqPkngL9vinNp4KXBWolN15eXvjnn380HYvWEkLg+G+b0L7HcNSs3xrlHatiwOi5SHgWjUv/5P8X1Aj/VWjUsjvsK7rCwbEa+o/8Gs9in+BhxFVlnZ82foMWHQagbbehsK/oCtvyzqjr0QG6ejKVtq7++weuXzyBbp9OKrHzpJIhr+eJzMunkHn1DBRPo5B2eCdEVib0PmxY4H4i5fkrr6Rc2yVGZtBv2QOpv/0AKLJVtuk6u0FkZyPtyG4onsVAEfUAaYd3Qu+D2pCYWWn0/KhkxRw4jvCAxYj6+fdC1Xcc3hepEQ9x7Yv5SLp+B/dWbkbkrgNwHj9YWcd5gg8efL8dDzfsRtK127g0KgDZKWmoOLgXAEDX1BgVfXrh6uR5iDt2ConnruDC0KmwbFIP5o1ql8RpEqlQ67ZU586dMXnyZFy9ehU1a9aEnp6eyvauXbtqJDhtERf9EInxsahS8+VS0waGJnB0rYW74RdQr0mnQrWT+t8vKENjMwDA84Q43Lt1Ee7NOmPxVwMQG/0AtuVd0LnPOLhUq6fc73l8LLatmQnfz5dA77VbVfSOk+pAalMB6WdeTYIFsu6HQ8feKf/99GQwHjIdkEiQHf0I6X/tg+Lpq892kcCgQ39knD36Wvl/dHQBRRaAl8tgiayctah0HZyRmRBbnLOid5h54zqIPXJSpSzm0J9wWzgVACDR04NZvQ9xe/6qlxWEQOyREzBvXBcAYFavBqQyGWIPn1BWSb5xByn3HsGicR3E/32h5E+E3mtqJTfDhg0DAMyaNSvXNolEguzs7Fzl77Pn8Tm/CEzMyqmUm5iVQ2J84X5JKBQK7NkwD85V68K+4gcAcpImAAjbuRLdPp0EB8dqOHP8F6yY44spC36Ctb0jhBDY/N10NG37CSpVroG46EcaPDMqaRIDI0ikOhApqs9yEynPoWOZ9y1GxbNopB3ahuzYx5DIDCBzbwmjPuOQtOkbiP9uP8katAYUCmSc/yPPNrIf3ISkRTfI3FvljMPRk0G/WeecmIxMNXiG9K6R21ohPUr1eyk9KhZ6ZiaQ6suhZ2EGqa4u0l8bO5MeFQejqi45bdhZITs9A1kJqp/bjOg4yG2tS/YE3hPaejtJU9RKbl6f+l1U6enpSE9XHWuSmSGFnizvB3WVNf/8+Su2r3l5f3v4lyuL3ebOdXPw5MEtjA98+ewu8d/PoUmb3mjUsgcAoIJzdYRfOYVTx3ajS7+JOB62GelpyWjbfWixY6CyIfvJPWQ/ebl6aeqTCBgPmgJZTQ+knwyD1KYCZHWaI3lLcL5tKJ5GIfXgj9Bv0RXypp0AhUDG+T+gSE4ECr+oORGVECGY3BREreTmVWlpaSrPmCqMoKAgBAaqDm7rP3w6Ph0xo7jhvBNquLeCo2st5fus/2aXPE+Ig5nFy79anifEwcGx6hvb27nua1w99z+MnbkB5uVePiLe9L+27CpUVqlvW94F8bGRAICbV07jbvgFTPq0nkqd4Kl94N6sMwaMmlvEs6O3SaQmQyiyITE0USmXGJpAkfw8n71eo1AgO/ohpOY5Y2V0HVwgMTSGse9XL9uT6kDevCtkdVsgad0cAEDWjXNIunEOEkNjiMwMQACyep5QJHC2izZLj4qF3FZ1XJXc1gqZCc+hSEtHRuwzKLKyILcp91qdckiPzOnxSY+MhY5cBl0zE5XeG5lNOaRHxZT8SdB7T63kJjs7G3PnzkVISAiioqIQHh4OFxcXfPXVV3BycoKvr2+B+/v7+8PPz0+l7Ng17VntWN/ACPoGRsr3QgiYmlvh5uVTyunXaSlJuHfrIpq2+yTfdoQQ2BU6F5fOHMaYGaEoZ1NBZbultQPMLGwQ/fiuSnlM5D1Ur50zs6HXYH907jNWuS3haTRCgj6D9/hv4ehas7inSiVNkQ1F9EPoVvwAWbcv/1cogW7FD5Bx4c/CtSGRQGplj6y71wAAmdf+Qdb9cJUqhj0+Q+a1f5B59XSu3V8MRtZzawhkZyLr/tt7fg69ffGnzsO6YwuVMqs2TfDs1HkAgMjMRMK5K7Bq7fFySrlEgnKtPHBv5Q8AgIRzl6HIyIBVaw9E7jkIADCq4gxDRwdlO0QlSa3k5uuvv8aGDRvwzTffKMffAECNGjWwePHiNyY3crkccrnqLSg9mfY+OFMikaBFx4E4uGc1rO0cYWnjgP3bl8PMwgY167dR1lsx2xe1GrRB8w79AeTcijr7134MnbQUcgMj5fgcfUNjyGT6kEgkaNXFB2E7VqC8Y1U4OFXDmf/9jOhHEfCZkHPLwcLKXiUWmTxn+n4524oqvUD07ko/9z8YtO+H7KgHyI68D1k9T0j0ZMpERL99P4jkRKT/lfPgR1mj9sh+cheK+FhI5AaQ128FqaklMi//DQAQaSkQrywnAABQZEOkPIfi2cu/qvVqN0P24wggMwM6lapAv3mXnGOkp72dEyeN0DEyhJFrJeV7Q+cKMK1dDRlPE5D24AmqzvGDvoMtLvjkrIN0b/VWOI4agGpBk/Fg/S5YtWoM+94dcabrZ8o2IhaHova6+Yg/exkJZy7CaZw3dI0M8GDDbgBAVmISHoTuQvUFU5D5NAGZz5NQY/F0PDt5joOJNYRjbgqmVnKzceNGrF69Gm3atMGIESOU5bVr18b169c1Fpw2adN1CDLSU7FtzUykpjyHS9V6+GxKiMo4o9ioB0h6/kz5/q9D2wAAy2f5qLTVb8QcNGrZHQDQstNAZGWm46eN85GSnIjylapg5LQ1sLKrBNIOWeHnkWZgDLlHB0gMTaGIfYSUn1Yre1SkphZQvDKrSSI3gEHbTyAxNIVIT0F29EMkb1ua96yoAujYVoS8sRckevKcQcqHdyDz+lmNnhuVPDP3GvA4vEn53u3bnFlPDzbuxkVff8jtrWFQ8eUfQal3H+JM18/gttAfTmMHIe1hJC59Nh2xh172FD7Z8Rtk1paoEjAuZxG/C9dw+qOhKgv0Xf18LqorFKi3fSmkchli/1vEj+htkAhR9NGBBgYGuH79OhwdHWFiYoILFy7AxcUFV69eRcOGDZGUlHtNjTf57V/t7bmht6Pp//JegZeoMP6YvK+0Q6AyrnPm27tle/lWpMbaquGqfb34ag10cXNzwx9/5J5CunPnTtStW7fYQRERERGpS63bUjNmzIC3tzcePXoEhUKB3bt348aNG9i4cSN+/fVXTcdIREREVGhq9dx069YNe/fuxe+//w4jIyPMmDED165dw969e9GuXTtNx0hERESv4LOlCqb2OjfNmzfHoUOHNBkLERERUbEVexG/pKSkXCsWm5pyeXYiIiIqHWolNxERERgzZgyOHTuGtLSXa14IIfhsKSIiohLGxy8UTK3k5tNPP4UQAuvWrYOtrS0kEl5kIiIiejeoldxcuHABZ8+eRdWqb34uEhEREWmWQksHAmuKWrOlGjRogAcPHmg6FiIiIqJiU6vnZu3atRgxYgQePXqEGjVqQE9PT2V7rVq18tmTiIiIqGSpldzExMTg9u3b8PF5+cwjiUTCAcVERERvgbauT6MpaiU3Q4YMQd26dfHjjz9yQDEREdFbxtlSBVMrubl37x5++eUXuLq6ajoeIiIiomJRa0Bx69atceHCBU3HQkRERFRsavXcdOnSBRMnTsSlS5dQs2bNXAOKu3btqpHgiIiIKDeOuSmYWsnNiBEjAACzZs3KtY0DiomIiKg0qZXcvP4sKSIiInp7OKC4YGqNuSEiIiJ6VxW652bp0qUYPnw49PX1sXTp0gLrjhs3rtiBEREREamj0MnNokWLMGDAAOjr62PRokX51pNIJExuiIiIShAHFBes0MlNREREnv8mIiIiepeoNeZm1qxZSElJyVWempqa5wwqIiIiordFreQmMDAQSUlJucpTUlIQGBhY7KCIiIgof0JINPbSRmpNBX/xgMzXXbhwAZaWlsUOioiIiPLHBVkKVqTkxsLCAhKJBBKJBFWqVFFJcLKzs5GUlKRc4I+IiIioNBQpuVm8eDGEEBgyZAgCAwNhZmam3CaTyeDk5AQPDw+NB0lERERUWEVKbry9vQEAzs7OaNKkSa5nShEREVHJ09axMpqi1pgbT09PKBQKhIeHIzo6OtfjGFq0aKGR4IiIiIiKSq3k5tSpU+jfvz/u3bsHIYTKNj44k4iIqGRxEb+Cqf1U8Pr162Pfvn2wt7fPc+YUERERUWlQK7m5efMmdu7cCVdXV03HQ0RERFQsai3i16hRI9y6dUvTsRAREVEhcBG/gqnVczN27Fh8/vnniIyMRM2aNXPNmqpVq5ZGgiMiIqLcOOamYGolN7169QIADBkyRFkmkUiUKxdzQDERERGVFrWSGz4VnIiIiN5Vao25cXR0LPBFREREJUchNPcqKU+fPsWAAQNgamoKc3Nz+Pr65vnQ7Vfrjx07FlWrVoWBgQEqVaqEcePGISEhocjHViu5AYBNmzahadOmKF++PO7duwcg5/EMP//8s7pNEhERkZYYMGAArly5gkOHDuHXX3/F8ePHMXz48HzrP378GI8fP8a3336Ly5cvY/369QgLC4Ovr2+Rj61WcvPdd9/Bz88PnTp1Qnx8vHKMjbm5ORYvXqxOk0RERKQlrl27hrCwMKxduxaNGjVCs2bNsGzZMmzduhWPHz/Oc58aNWpg165d6NKlCypXrozWrVvj66+/xt69e5GVlVWk46uV3Cxbtgxr1qzBtGnToKOjoyyvX78+Ll26pE6TREREVEgCEo29SsLJkydhbm6O+vXrK8vatm0LqVSKv//+u9DtJCQkwNTUFLq6RRsirPaA4rp16+Yql8vlSE5OVqdJIiIiKgXp6elIT09XKZPL5ZDL5Wq3GRkZCRsbG5UyXV1dWFpaIjIyslBtxMbGYvbs2QXeysqPWj03zs7OOH/+fK7ysLAwVK9eXZ0miYiIqJA0uYhfUFAQzMzMVF5BQUF5HnfKlCmQSCQFvq5fv17s80tMTETnzp3h5uaGmTNnFnl/tXpu/Pz8MHr0aKSlpUEIgdOnT+PHH39EUFAQ1q5dq06TREREVAr8/f3h5+enUpZfr83nn3+OwYMHF9iei4sL7OzsEB0drVKelZWFp0+fws7OrsD9nz9/jg4dOsDExAR79uzJtVBwYaiV3AwdOhQGBgaYPn06UlJS0L9/fzg4OGDJkiXo27evOk0SERFRKSjKLShra2tYW1u/sZ6Hhwfi4+Nx9uxZuLu7AwCOHDkChUKBRo0a5btfYmIivLy8IJfL8csvv0BfX79wJ/EatW5LpaamokePHrh58yaSkpJw6tQp+Pn5oUKFCmoFQURERIUnhOZeJaF69ero0KEDhg0bhtOnT+Ovv/7CmDFj0LdvX5QvXx4A8OjRI1SrVg2nT58GkJPYtG/fHsnJyfj++++RmJiIyMhIREZGFvnJB2r13HTr1g09e/bEiBEjkJGRga5du0JPTw+xsbEIDg7GyJEj1WmWiIiICkFRBp4ttXnzZowZMwZt2rSBVCpFr169sHTpUuX2zMxM3LhxAykpKQCAc+fOKWdSubq6qrQVEREBJyenQh9breTm3LlzWLRoEQBg586dsLW1xb///otdu3ZhxowZTG6IiIjec5aWltiyZUu+252cnCBe6Tpq2bKlyvviUOu2VEpKCkxMTAAABw8eRM+ePSGVStG4cWPlasVEREREpUGt5MbV1RU//fQTHjx4gAMHDqB9+/YAgOjoaJiammo0QCIiIlKlyang2kit5GbGjBmYNGkSnJyc0KhRI3h4eADI6cXJa3E/IiIiordFrTE3H3/8MZo1a4YnT56gdu3ayvI2bdqgR48eGguOiIiIciupWU7aQq3kBgDs7OxyLcTTsGHDYgdEREREVBxq3ZYiIiIielep3XNDREREpaOknuatLdhzQ0RERFqFyQ0RERFpFd6WIiIiKmMUnC1VICY3REREZYy2Lr6nKbwtRURERFqFyQ0RERFpFYnQ1CM4qcSkp6cjKCgI/v7+kMvlpR0OlUH8DFFx8TNEZQmTmzIgMTERZmZmSEhI4INJSS38DFFx8TNEZQlvSxEREZFWYXJDREREWoXJDREREWkVJjdlgFwuR0BAAAfxkdr4GaLi4meIyhIOKCYiIiKtwp4bIiIi0ipMboiIiEirMLkhIiIircLkhqgQWrZsiQkTJhSq7rFjxyCRSBAfHw8AWL9+PczNzUsstrdBG87hfeDk5ITFixeXdhhEpY7JTQkZPHgwJBIJJBIJ9PT04OzsjC+++AJpaWmoWbMmRowYked+mzZtglwuR2xsbIHtHzt2DN26dYO9vT2MjIxQp04dbN68WaXOlStX0KtXLzg5OUEikfBL7y1p0qQJnjx5AjMzs9IORS15/YLs06cPwsPDSyeg1xQl0dRW+SWbZ86cwfDhw99+QK95PcEvTevXr1d+F7946evrl3ZYVMJ0SzsAbdahQweEhoYiMzMTZ8+ehbe3NyQSCXx9fTFz5kwsWrQIBgYGKvuEhoaia9eusLKyKrDtEydOoFatWvjyyy9ha2uLX3/9FYMGDYKZmRk++ugjAEBKSgpcXFzQu3dvTJw4scTOk1TJZDLY2dmVdhgaZWBgkOuzSu8ea2vr0g7hnWRqaoobN24o30skklKMht4KQSXC29tbdOvWTaWsZ8+eom7duiImJkbIZDKxadMmle137twREolE/Pbbb2ods1OnTsLHxyfPbY6OjmLRokVqtfu+SUpKEgMHDhRGRkbCzs5OfPvtt8LT01OMHz9eCCHExo0bhbu7uzA2Nha2traiX79+IioqSrn/0aNHBQDx7NkzIYQQoaGhwszMTAghREREhJBIJOLMmTMqx1y0aJGoVKmSyM7OLjC2p0+fiv79+wsrKyuhr68vXF1dxbp165Tb79+/L3r37i3MzMyEhYWF6Nq1q4iIiFBuf/G5XLBggbCzsxOWlpZi1KhRIiMjQwghhKenpwCg8nr9HIQQIiAgQNSuXVt8//33omLFisLIyEiMHDlSZGVlifnz5wtbW1thbW0t5syZoxL/s2fPhK+vr7CyshImJiaiVatW4vz587na3bhxo3B0dBSmpqaiT58+IjExURn/6/G9en7vkh07dogaNWoIfX19YWlpKdq0aSOSkpKEEEKsWbNGVKtWTcjlclG1alWxYsUK5X4RERECgNi1a5do2bKlMDAwELVq1RInTpwQQrz8fL36CggIEELk/n8OQISEhIjOnTsLAwMDUa1aNXHixAlx8+ZN4enpKQwNDYWHh4e4deuWSuw//fSTqFu3rpDL5cLZ2VnMnDlTZGZmqrS7Zs0a0b17d2FgYCBcXV3Fzz//rBL/qy9vb+83Xi9PT08xZswYMX78eGFubi5sbGzE6tWrRVJSkhg8eLAwNjYWlStXFvv371fuk5WVJYYMGSKcnJyEvr6+qFKlili8eLFKu69/dun9wOSmhLye3Fy6dEnY2dmJRo0aCSGE6N27t2jVqpXKPjNmzBAVK1Z84y+4/DRt2lR8/vnneW5jclN4I0eOFJUqVRK///67uHjxovjoo4+EiYmJMrn5/vvvxf79+8Xt27fFyZMnhYeHh+jYsaNy/4KSGyGEaNeunRg1apTKMWvVqiVmzJjxxthGjx4t6tSpI86cOSMiIiLEoUOHxC+//CKEECIjI0NUr15dDBkyRFy8eFFcvXpV9O/fX1StWlWkp6cLIXI+l6ampmLEiBHi2rVrYu/evcLQ0FCsXr1aCCFEXFycqFChgpg1a5Z48uSJePLkSZ7nEBAQIIyNjcXHH38srly5In755Rchk8mEl5eXGDt2rLh+/bpYt26dACBOnTql3K9t27aiS5cu4syZMyI8PFx8/vnnoly5ciIuLk6l3Z49e4pLly6J48ePCzs7OzF16lQhhBDx8fHCw8NDDBs2TBlfVlbWG6/b2/b48WOhq6srgoODRUREhLh48aJYsWKFeP78ufjhhx+Evb292LVrl7hz547YtWuXsLS0FOvXrxdCvEwOqlWrJn799Vdx48YN8fHHHwtHR0eRmZkp0tPTxeLFi4WpqanyGjx//lwIkXdy4+DgILZt2yZu3LghunfvLpycnETr1q1FWFiYuHr1qmjcuLHo0KGDcp/jx48LU1NTsX79enH79m1x8OBB4eTkJGbOnKnSboUKFcSWLVvEzZs3xbhx44SxsbGIi4sTWVlZYteuXQKAuHHjhnjy5ImIj49/4zXz9PQUJiYmYvbs2SI8PFzMnj1b6OjoiI4dO4rVq1eL8PBwMXLkSFGuXDmRnJwshMj5zM+YMUOcOXNG3LlzR/zwww/C0NBQbNu2TdluaGio0NHREZUqVRIVKlQQXbt2FZcvXy7Wz5fefUxuSoi3t7fQ0dERRkZGQi6XCwBCKpWKnTt3CiGECAsLExKJRNy5c0cIIYRCoRCOjo5i+vTpah1v27ZtQiaT5fuflslN4Tx//lzIZDKxfft2ZVlcXJwwMDBQJjevO3PmjACg/AXzpuRm27ZtwsLCQqSlpQkhhDh79qyQSCSF6oHo0qVLvr1zmzZtElWrVhUKhUJZlp6eLgwMDMSBAweEEDmfS0dHR5WEoHfv3qJPnz7K93l9VvJKbgwNDZU9KkII4eXlJZycnFSS86pVq4qgoCAhhBB//PGHMDU1VZ73C5UrVxarVq3Kt93Jkycr/ygQQqj0or2rzp49KwCIu3fv5tpWuXJlsWXLFpWy2bNnCw8PDyHEy+Rm7dq1yu1XrlwRAMS1a9eEEPn3RuSV3Lz6nXLy5EkBQHz//ffKsh9//FHo6+sr37dp00bMnTtXpd1NmzYJe3v7fNtNSkoSAJS9zq//HygMT09P0axZM+X7rKwsYWRkJAYOHKgse/LkiQAgTp48mW87o0ePFr169VK+P3HihNiwYYP4999/xbFjx8RHH30kTE1NxYMHDwodG5U9HFBcglq1aoXz58/j77//hre3N3x8fNCrVy8AQLt27VChQgWEhoYCAA4fPoz79+/Dx8enyMc5evQofHx8sGbNGnz44YcaPYf3ze3bt5GRkYFGjRopyywtLVG1alXl+7Nnz6JLly6oVKkSTExM4OnpCQC4f/9+oY7RvXt36OjoYM+ePQByBjy2atUKTk5Ob9x35MiR2Lp1K+rUqYMvvvgCJ06cUG67cOECbt26BRMTExgbG8PY2BiWlpZIS0vD7du3lfU+/PBD6OjoKN/b29sjOjq6ULG/ysnJCSYmJsr3tra2cHNzg1QqVSl70faFCxeQlJSEcuXKKeMzNjZGRESESnyvt6tufKWpdu3aaNOmDWrWrInevXtjzZo1ePbsGZKTk3H79m34+vqqXIM5c+aoXAMAqFWrlvLf9vb2AKDWdXi1HVtbWwBAzZo1VcrS0tKQmJgIIOfnNGvWLJX4hg0bhidPniAlJSXPdo2MjGBqalrsn9Orbero6KBcuXK5YgVUr8OKFSvg7u4Oa2trGBsbY/Xq1Sr/Fz08PDBo0CDUqVMHnp6e2L17N6ytrbFq1apixUrvNg4oLkFGRkZwdXUFAKxbtw61a9fG999/D19fX0ilUgwePBgbNmzAzJkzERoailatWsHFxaVIx/jf//6HLl26YNGiRRg0aFBJnAa9Ijk5GV5eXvDy8sLmzZthbW2N+/fvw8vLCxkZGYVqQyaTYdCgQQgNDUXPnj2xZcsWLFmypFD7duzYEffu3cP+/ftx6NAhtGnTBqNHj8a3336LpKQkuLu755o1B6gONNXT01PZJpFIoFAoCnX8V+XVTkFtJyUlwd7eHseOHcvV1qszfzQVX2nS0dHBoUOHcOLECRw8eBDLli3DtGnTsHfvXgDAmjVrVBLoF/u86tXr8GIAbHF/Ti/aKajtpKQkBAYGomfPnrnaenWWUUn8nN70mXo91q1bt2LSpElYuHAhPDw8YGJiggULFuDvv/8u8Bh169bFrVu3ihUrvduY3LwlUqkUU6dOhZ+fH/r37w8DAwP4+Phgzpw52L17N/bs2YO1a9cWqc1jx47ho48+wvz589+J6Z/aoHLlytDT08Pff/+NSpUqAQCePXuG8PBweHp64vr164iLi8O8efNQsWJFAMA///xT5OMMHToUNWrUwMqVK5GVlZXnL5L8WFtbw9vbG97e3mjevDkmT56Mb7/9FvXq1cO2bdtgY2MDU1PTIsf0gkwmQ3Z2ttr756devXqIjIyErq5uoXqp8lNS8WmaRCJB06ZN0bRpU8yYMQOOjo7466+/UL58edy5cwcDBgxQu+2SvAb16tXDjRs3lH+YqUMmkwFAif+c/vrrLzRp0gSjRo1Slr3eA/a67OxsXLp0CZ06dSrR2Kh08bbUW9S7d2/o6OhgxYoVAABnZ2e0bt0aw4cPh1wuL9IvuKNHj6Jz584YN24cevXqhcjISERGRuLp06fKOhkZGTh//jzOnz+PjIwMPHr0COfPn+dfLAUwNjaGr68vJk+ejCNHjuDy5csYPHiw8lZLpUqVIJPJsGzZMty5cwe//PILZs+eXeTjVK9eHY0bN8aXX36Jfv36FXqa9YwZM/Dzzz/j1q1buHLlCn799VdUr14dADBgwABYWVmhW7du+OOPPxAREYFjx45h3LhxePjwYaFjc3JywvHjx/Ho0aM3rrdUFG3btoWHhwe6d++OgwcP4u7duzhx4gSmTZtWpATRyckJf//9N+7evYvY2Nh3slfn77//xty5c/HPP//g/v372L17N2JiYlC9enUEBgYiKCgIS5cuRXh4OC5duoTQ0FAEBwcXun0nJyckJSXh8OHDiI2NVbldVFwzZszAxo0bERgYiCtXruDatWvYunUrpk+fXug2HB0dIZFI8OuvvyImJgZJSUkai+9VH3zwAf755x8cOHAA4eHh+Oqrr3DmzBmVOrNmzcLBgwdx584dnDt3Dp9++inu3buHoUOHlkhM9G5gcvMW6erqYsyYMfjmm2+QnJwMAPD19cWzZ8/Qv3//Ii0stWHDBqSkpCAoKAj29vbK16sJ0uPHj1G3bl3UrVsXT548wbfffou6devyP/UbLFiwAM2bN0eXLl3Qtm1bNGvWDO7u7gByek3Wr1+PHTt2wM3NDfPmzcO3336r1nF8fX2RkZGBIUOGFHofmUwGf39/1KpVCy1atICOjg62bt0KADA0NMTx48dRqVIl9OzZE9WrV4evry/S0tKK1JMza9Ys3L17F5UrV9bouikSiQT79+9HixYt4OPjgypVqqBv3764d++ecixFYUyaNAk6Ojpwc3NT3hZ815iamuL48ePo1KkTqlSpgunTp2PhwoXo2LEjhg4dirVr1yI0NBQ1a9aEp6cn1q9fD2dn50K336RJE4wYMQJ9+vSBtbU1vvnmG43F7uXlhV9//RUHDx5EgwYN0LhxYyxatAiOjo6FbsPBwQGBgYGYMmUKbG1tMWbMGI3F96rPPvsMPXv2RJ8+fdCoUSPExcWp9OIAOT2vw4YNQ/Xq1dGpUyckJibixIkTcHNzK5GY6N0gEUKI0g6C6H00e/Zs7NixAxcvXiztUIiItAp7bojesqSkJFy+fBnLly/H2LFjSzscIiKtw+TmHdWxY0eVqZivvubOnVva4VExjBkzBu7u7mjZsmWuW1IjRozI9+ee3/PIiN519+/fz/dzbWxs/E7eWqSyjbel3lGPHj1CampqntssLS1haWn5liOityE6Olq53sjrTE1NYWNj85YjIiq+rKws3L17N9/tTk5O0NXl5F3SHCY3REREpFV4W4qIiIi0CpMbIiIi0ipMboiIiEirMLkhIiIircLkhoiIiLQKkxsiIiLSKkxuiIiISKswuSEiIiKt8n8RgNtz/XiUpgAAAABJRU5ErkJggg==\n" 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daily_sentimentsentiment_ma5
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"sent_corr[[\\\"daily_sentiment\\\", \\\"sentiment_ma5\\\"]]\",\n \"rows\": 3,\n \"fields\": [\n {\n \"column\": \"daily_sentiment\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.5770862572244905,\n \"min\": -0.14552349665301467,\n \"max\": 1.0,\n \"num_unique_values\": 3,\n \"samples\": [\n -0.14552349665301467,\n 1.0,\n 0.549375812620159\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sentiment_ma5\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.6408147562050486,\n \"min\": -0.26436648910028643,\n \"max\": 1.0,\n \"num_unique_values\": 3,\n \"samples\": [\n -0.26436648910028643,\n 0.549375812620159,\n 1.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 450 } ], "source": [ "sent_corr = df_sent[\n", " [\"RV_21\",\n", " \"daily_sentiment\", \"sentiment_ma5\"]\n", "].corr()\n", "\n", "plt.figure(figsize=(7, 5))\n", "sns.heatmap(sent_corr, annot=True, fmt=\".3f\", cmap=\"coolwarm\", center=0)\n", "plt.title(\"Correlation: sentiment vs volatility measures\")\n", "plt.show()\n", "\n", "sent_corr[[\"daily_sentiment\", \"sentiment_ma5\"]]" ] }, { "cell_type": "markdown", "source": [ "Define sentiment feature lists" ], "metadata": { "id": "rSMyTVWB-C0d" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "KnJH66YD2wE3", "outputId": "2c5ed3bf-c4b0-4cfa-83b0-844977b754e8" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "26 base features -> 28 with sentiment\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ "['SP500_Open',\n", " 'SP500_High',\n", " 'SP500_Low',\n", " 'SP500_Close',\n", " 'SP500_Volume',\n", " 'VIX',\n", " 'SP500_Return',\n", " 'Log_Return',\n", " 'abs_return',\n", " 'squared_return',\n", " 'neg_return_flag',\n", " 'skew_21',\n", " 'kurt_21',\n", " 'hl_range',\n", " 'vix_chg',\n", " 'overnight_gap',\n", " 'ATR',\n", " 'sma_21',\n", " 'ema_21',\n", " 'rsi_14',\n", " 'macd',\n", " 'bb_width',\n", " 'parkinson_vol',\n", " 'RV_5',\n", " 'RV_21',\n", " 'RV_63',\n", " 'daily_sentiment',\n", " 'sentiment_ma5']" ] }, "metadata": {}, "execution_count": 451 } ], "source": [ "BASE_MODEL_FEATURES = list(X.columns) # original 26 features\n", "\n", "SENTIMENT_COLS = [\"daily_sentiment\", \"sentiment_ma5\"] # 2 sentiment features\n", "SENTIMENT_FEATURES = BASE_MODEL_FEATURES + SENTIMENT_COLS # 28 features\n", "\n", "# GARCH hybrids also carry the GARCH volatility as an input feature\n", "SENTIMENT_GARCH_FEATURES = SENTIMENT_FEATURES + [\"garch_vol\"] # 29 features\n", "\n", "print(f\"{len(BASE_MODEL_FEATURES)} base features -> {len(SENTIMENT_FEATURES)} with sentiment\")\n", "SENTIMENT_FEATURES" ] }, { "cell_type": "markdown", "source": [ "Sentiment train/test split" ], "metadata": { "id": "qk_0vnIx_FD-" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "UizcgrI2NnfJ", "outputId": "9f883a03-8ffa-4029-870b-a630215aaf29" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Train: (3211, 28) | Test: (794, 28)\n" ] } ], "source": [ "# features and target with sentiment\n", "X_s = df_sent[SENTIMENT_FEATURES]\n", "y_s = df_sent[\"Next_Day_RV_21\"]\n", "\n", "# split by 2021-01-01, same for non sentiment\n", "X_train_s = X_s[X_s.index < split_date]\n", "X_test_s = X_s[X_s.index >= split_date]\n", "\n", "y_train_s = y_s[y_s.index < split_date]\n", "y_test_s = y_s[y_s.index >= split_date]\n", "\n", "print(\"Train:\", X_train_s.shape, \"| Test:\", X_test_s.shape)" ] }, { "cell_type": "markdown", "source": [ "Scale and create sequences for sentiment models" ], "metadata": { "id": "WWQQaysQ_e1u" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "YsQhqkxxNqHX", "outputId": "248360e7-4052-4ad3-e9ef-d3d0797138b0" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "X_train_seq_s shape: (3190, 21, 28)\n", "X_test_seq_s shape: (773, 21, 28)\n" ] } ], "source": [ "# separate scalers for sentiment models\n", "feature_scaler_s = MinMaxScaler()\n", "target_scaler_s = MinMaxScaler()\n", "\n", "X_train_s_scaled = feature_scaler_s.fit_transform(X_train_s)\n", "X_test_s_scaled = feature_scaler_s.transform(X_test_s)\n", "\n", "y_train_s_scaled = target_scaler_s.fit_transform(y_train_s.values.reshape(-1, 1))\n", "y_test_s_scaled = target_scaler_s.transform(y_test_s.values.reshape(-1, 1))\n", "\n", "# same create_sequences() and window_size (21) as without sentiment models\n", "X_train_seq_s, y_train_seq_s = create_sequences(X_train_s_scaled, y_train_s_scaled, lookback)\n", "X_test_seq_s, y_test_seq_s = create_sequences(X_test_s_scaled, y_test_s_scaled, lookback)\n", "\n", "# unscaled actual test values\n", "y_test_actual_s = target_scaler_s.inverse_transform(y_test_seq_s)\n", "\n", "print(\"X_train_seq_s shape:\", X_train_seq_s.shape)\n", "print(\"X_test_seq_s shape:\", X_test_seq_s.shape)" ] }, { "cell_type": "markdown", "source": [ "GARCH sentiment preprocessing" ], "metadata": { "id": "U6m7B0UsAQH1" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "P2HsFzcBOBmn", "outputId": "e0a26cc4-7c7b-4997-a178-90943d5fddc7" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "gls_X_train_seq shape: (3190, 21, 29)\n", "gls_X_test_seq shape: (773, 21, 29)\n" ] } ], "source": [ "# prepareing the feature set and sequences for the GARCH sentiment model\n", "# these models have 29 features(26 base + 2 sentimetn + 1 GARCH volatility)\n", "\n", "# adding GARCH volatility to df_sent for GARCH-LSTM and GARCH-GRU\n", "df_sent['garch_vol'] = gl_garch_vol\n", "X_s_garch = df_sent[SENTIMENT_GARCH_FEATURES]\n", "y_s_garch = df_sent[\"Next_Day_RV_21\"]\n", "\n", "# split by split date\n", "X_train_s_garch = X_s_garch[X_s_garch.index < split_date]\n", "X_test_s_garch = X_s_garch[X_s_garch.index >= split_date]\n", "\n", "y_train_s_garch = y_s_garch[y_s_garch.index < split_date]\n", "y_test_s_garch = y_s_garch[y_s_garch.index >= split_date]\n", "\n", "# GARCH volatility to the sentiment model's train/ test dates\n", "gls_gv_train = gl_garch_vol.loc[y_train_s_garch.index]\n", "gls_gv_test = gl_garch_vol.loc[y_test_s_garch.index]\n", "\n", "# Scale features and target (residuals)\n", "\n", "gls_res_train = (y_train_s_garch - gls_gv_train).values.reshape(-1, 1)\n", "gls_res_test = (y_test_s_garch - gls_gv_test ).values.reshape(-1, 1)\n", "\n", "# scale features and residuals separetely\n", "gls_feat_scaler = MinMaxScaler()\n", "gls_res_scaler = MinMaxScaler()\n", "\n", "gls_ytr = gls_res_scaler.fit_transform(gls_res_train)\n", "gls_yte = gls_res_scaler.transform(gls_res_test)\n", "gls_Xtr = gls_feat_scaler.fit_transform(X_train_s_garch)\n", "gls_Xte = gls_feat_scaler.transform(X_test_s_garch)\n", "\n", "# Create sequences (same 21 day lookback )\n", "gls_X_train_seq, gls_y_train_seq = create_sequences(gls_Xtr, gls_ytr, lookback)\n", "gls_X_test_seq, gls_y_test_seq = create_sequences(gls_Xte, gls_yte, lookback)\n", "\n", "print(\"gls_X_train_seq shape:\", gls_X_train_seq.shape)\n", "print(\"gls_X_test_seq shape:\", gls_X_test_seq.shape)" ] }, { "cell_type": "markdown", "metadata": { "id": "Y1rE421pbV6F" }, "source": [ "## CNN with sentiment" ] }, { "cell_type": "markdown", "source": [ "Installing CNN model with sentiment included data" ], "metadata": { "id": "ki5VRRchHn7q" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 878 }, "id": "PrIMKLZ9ZF2G", "outputId": "7dd92506-de90-49ff-d1f3-bc22be257980" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"sequential_28\"\u001b[0m\n" ], "text/html": [ "
Model: \"sequential_28\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ conv1d_32 (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m4,512\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ batch_normalization_28 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m128\u001b[0m │\n", "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ conv1d_33 (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m5,152\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ batch_normalization_29 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m128\u001b[0m │\n", "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ max_pooling1d_12 (\u001b[38;5;33mMaxPooling1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_112 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ conv1d_34 (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m10,304\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ batch_normalization_30 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n", "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ conv1d_35 (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m20,544\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ batch_normalization_31 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m10\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │\n", "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ max_pooling1d_13 (\u001b[38;5;33mMaxPooling1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_113 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ conv1d_36 (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m41,088\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ batch_normalization_32 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m5\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m512\u001b[0m │\n", "│ (\u001b[38;5;33mBatchNormalization\u001b[0m) │ │ │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ max_pooling1d_14 (\u001b[38;5;33mMaxPooling1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_114 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m2\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ global_average_pooling1d_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "│ (\u001b[38;5;33mGlobalAveragePooling1D\u001b[0m) │ │ │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_128 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m4,128\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_115 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_129 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m33\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ conv1d_32 (Conv1D)              │ (None, 21, 32)         │         4,512 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_28          │ (None, 21, 32)         │           128 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_33 (Conv1D)              │ (None, 21, 32)         │         5,152 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_29          │ (None, 21, 32)         │           128 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling1d_12 (MaxPooling1D) │ (None, 10, 32)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_112 (Dropout)           │ (None, 10, 32)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_34 (Conv1D)              │ (None, 10, 64)         │        10,304 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_30          │ (None, 10, 64)         │           256 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_35 (Conv1D)              │ (None, 10, 64)         │        20,544 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_31          │ (None, 10, 64)         │           256 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling1d_13 (MaxPooling1D) │ (None, 5, 64)          │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_113 (Dropout)           │ (None, 5, 64)          │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_36 (Conv1D)              │ (None, 5, 128)         │        41,088 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_32          │ (None, 5, 128)         │           512 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ max_pooling1d_14 (MaxPooling1D) │ (None, 2, 128)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_114 (Dropout)           │ (None, 2, 128)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ global_average_pooling1d_8      │ (None, 128)            │             0 │\n",
              "│ (GlobalAveragePooling1D)        │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_128 (Dense)               │ (None, 32)             │         4,128 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_115 (Dropout)           │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_129 (Dense)               │ (None, 1)              │            33 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m87,041\u001b[0m (340.00 KB)\n" ], "text/html": [ "
 Total params: 87,041 (340.00 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m86,401\u001b[0m (337.50 KB)\n" ], "text/html": [ "
 Trainable params: 86,401 (337.50 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m640\u001b[0m (2.50 KB)\n" ], "text/html": [ "
 Non-trainable params: 640 (2.50 KB)\n",
              "
\n" ] }, "metadata": {} } ], "source": [ "# installing CNN model with input shape (21,28)\n", "tf.keras.utils.set_random_seed(42)\n", "cnn_model_s= get_cnn_model(\n", " input_shape=(X_train_seq_s.shape[1], X_train_seq_s.shape[2])\n", ")" ] }, { "cell_type": "markdown", "source": [ "Compiling CNN model" ], "metadata": { "id": "n_CtudTfI0Sy" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "djFLIjg4axE4" }, "outputs": [], "source": [ "# compile CNN model with adam optimiser\n", "cnn_model_s.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "Call backs and training CNN model" ], "metadata": { "id": "nsaHJ_aGI_CN" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "WJM_kZYKTNwD", "outputId": "b4653f9f-5c35-4ffd-cd8e-166ea967e1ee" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m17s\u001b[0m 105ms/step - loss: 0.8069 - mae: 0.6388 - val_loss: 0.0360 - val_mae: 0.1430 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 0.1147 - mae: 0.2526 - val_loss: 0.0217 - val_mae: 0.0885 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.0498 - mae: 0.1583 - val_loss: 0.0605 - val_mae: 0.1973 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.0290 - mae: 0.1146 - val_loss: 0.0421 - val_mae: 0.1442 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.0205 - mae: 0.0933 - val_loss: 0.0244 - val_mae: 0.0852 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.0160 - mae: 0.0832 - val_loss: 0.0237 - val_mae: 0.0842 - learning_rate: 5.0000e-04\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.0156 - mae: 0.0795 - val_loss: 0.0244 - val_mae: 0.0861 - learning_rate: 5.0000e-04\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 0.0125 - mae: 0.0726 - val_loss: 0.0226 - val_mae: 0.0852 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.0123 - mae: 0.0698 - val_loss: 0.0218 - val_mae: 0.0849 - learning_rate: 2.5000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 8ms/step - loss: 0.0117 - mae: 0.0707 - val_loss: 0.0204 - val_mae: 0.0834 - learning_rate: 2.5000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.0120 - mae: 0.0693 - val_loss: 0.0208 - val_mae: 0.0838 - learning_rate: 2.5000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 0.0111 - mae: 0.0669 - val_loss: 0.0202 - val_mae: 0.0823 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 0.0093 - mae: 0.0641 - val_loss: 0.0191 - val_mae: 0.0805 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 0.0100 - mae: 0.0650 - val_loss: 0.0180 - val_mae: 0.0789 - learning_rate: 2.5000e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 0.0107 - mae: 0.0666 - val_loss: 0.0187 - val_mae: 0.0795 - learning_rate: 2.5000e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 10ms/step - loss: 0.0086 - mae: 0.0612 - val_loss: 0.0165 - val_mae: 0.0760 - learning_rate: 2.5000e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0090 - mae: 0.0613 - val_loss: 0.0159 - val_mae: 0.0753 - learning_rate: 2.5000e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0087 - mae: 0.0602 - val_loss: 0.0151 - val_mae: 0.0738 - learning_rate: 2.5000e-04\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0084 - mae: 0.0585 - val_loss: 0.0143 - val_mae: 0.0718 - learning_rate: 2.5000e-04\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0083 - mae: 0.0597 - val_loss: 0.0137 - val_mae: 0.0711 - learning_rate: 2.5000e-04\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 0.0079 - mae: 0.0576 - val_loss: 0.0129 - val_mae: 0.0692 - learning_rate: 2.5000e-04\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 8ms/step - loss: 0.0077 - mae: 0.0568 - val_loss: 0.0119 - val_mae: 0.0669 - learning_rate: 2.5000e-04\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 0.0078 - mae: 0.0574 - val_loss: 0.0117 - val_mae: 0.0662 - learning_rate: 2.5000e-04\n", "Epoch 24/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.0080 - mae: 0.0570 - val_loss: 0.0120 - val_mae: 0.0656 - learning_rate: 2.5000e-04\n", "Epoch 25/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 6ms/step - loss: 0.0074 - mae: 0.0553 - val_loss: 0.0117 - val_mae: 0.0650 - learning_rate: 2.5000e-04\n", "Epoch 26/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 0.0071 - mae: 0.0547 - val_loss: 0.0105 - val_mae: 0.0618 - learning_rate: 2.5000e-04\n", "Epoch 27/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 8ms/step - loss: 0.0080 - mae: 0.0559 - val_loss: 0.0096 - val_mae: 0.0592 - learning_rate: 2.5000e-04\n", "Epoch 28/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 0.0077 - mae: 0.0547 - val_loss: 0.0080 - val_mae: 0.0535 - learning_rate: 2.5000e-04\n", "Epoch 29/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 0.0069 - mae: 0.0540 - val_loss: 0.0089 - val_mae: 0.0552 - learning_rate: 2.5000e-04\n", "Epoch 30/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 8ms/step - loss: 0.0064 - mae: 0.0504 - val_loss: 0.0075 - val_mae: 0.0509 - learning_rate: 2.5000e-04\n" ] } ], "source": [ "# callbacks\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_CNN_S.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training\n", "history_cnn_s = cnn_model_s.fit(\n", " X_train_seq_s,\n", " y_train_seq_s,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "ff2eeeca", "outputId": "0e1f3a79-2583-4ae7-ac05-840708fac42b" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# CNN with sentiment training and validation loss\n", "plot_history(history_cnn_s, \"CNN_Sentiment\")" ] }, { "cell_type": "markdown", "source": [ "predicting on test data" ], "metadata": { "id": "o5YI465NJKpg" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "c4091682", "outputId": "fd1f33de-c6b2-44bb-81ae-358cc861bd8e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 25ms/step\n" ] } ], "source": [ "cnn_s_predictions, target_test_actual_s = predict_and_inverse_scale(\n", " cnn_model_s,\n", " X_test_seq_s,\n", " y_test_seq_s,\n", " target_scaler_s\n", ")\n" ] }, { "cell_type": "markdown", "source": [ "Create results dataframe and plot actual vs predicted values" ], "metadata": { "id": "XumOhKYYPDmZ" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "386e5776", "outputId": "25b87e94-2e20-444d-f0fb-da1744303693" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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Actual VolatilityCNN_Sentiment Predicted Volatility
Date
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2021-02-040.1687030.106926
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "cnn_s_results", "summary": "{\n \"name\": \"cnn_s_results\",\n \"rows\": 773,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2021-02-03 00:00:00\",\n \"max\": \"2024-02-29 00:00:00\",\n \"num_unique_values\": 773,\n \"samples\": [\n \"2022-07-14 00:00:00\",\n \"2023-10-16 00:00:00\",\n \"2023-02-21 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Actual Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06338538102384665,\n \"min\": 0.06803955684916459,\n \"max\": 0.3489603286420088,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.22844653419723016,\n 0.12527449320834527,\n 0.1586309742806594\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CNN_Sentiment Predicted Volatility\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 773,\n \"samples\": [\n 0.22530756890773773,\n 0.12164763361215591,\n 0.13035954535007477\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 460 } ], "source": [ "# create results and plot actual vs CNN sentiment model predicted volatility\n", "cnn_s_results = create_results_and_plot(\n", " model_name=\"CNN_Sentiment\",\n", " predictions=cnn_s_predictions,\n", " actual=target_test_actual_s,\n", " y_test=y_test_s,\n", " lookback=lookback\n", ")\n", "\n", "cnn_s_results.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "m4mU7JWnUcIs" }, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": { "id": "o6OWHiRAftFF" }, "source": [ "## GRU with sentiment" ] }, { "cell_type": "markdown", "source": [ "Installing GRU sentiment model" ], "metadata": { "id": "ndv0Qw_zQM6y" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 521 }, "id": "2-K_Pa6Tfv0U", "outputId": "d82da839-1518-45f0-c54a-a5bbb9861520" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"sequential_29\"\u001b[0m\n" ], "text/html": [ "
Model: \"sequential_29\"\n",
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ gru_20 (GRU)                    │ (None, 21, 32)         │         5,952 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_33          │ (None, 21, 32)         │           128 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_116 (Dropout)           │ (None, 21, 32)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ gru_21 (GRU)                    │ (None, 21, 64)         │        18,816 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ batch_normalization_34          │ (None, 21, 64)         │           256 │\n",
              "│ (BatchNormalization)            │                        │               │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_117 (Dropout)           │ (None, 21, 64)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ gru_22 (GRU)                    │ (None, 128)            │        74,496 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_118 (Dropout)           │ (None, 128)            │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_130 (Dense)               │ (None, 128)            │        16,512 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_119 (Dropout)           │ (None, 128)            │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_131 (Dense)               │ (None, 1)              │           129 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
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 Total params: 116,289 (454.25 KB)\n",
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 Non-trainable params: 192 (768.00 B)\n",
              "
\n" ] }, "metadata": {} } ], "source": [ "# installing GRU sentiment model with input shape (21,28)\n", "tf.keras.utils.set_random_seed(42)\n", "gru_model_s = get_gru_model(\n", " input_shape=(X_train_seq_s.shape[1], X_train_seq_s.shape[2]\n", " )\n", ")" ] }, { "cell_type": "markdown", "source": [ "Compilling GRU sentiment model" ], "metadata": { "id": "gavF16l94bSG" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "B-OMEPB8f3IC" }, "outputs": [], "source": [ "# compilling GRU sentiment model with adam optimiser\n", "gru_model_s.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "Call backs and training of GRU sentiment model" ], "metadata": { "id": "XozGJSOM4NOE" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Rdn_jy0ff_mW", "outputId": "32475a65-c8a2-4645-a5c3-8739f129ac42" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 31ms/step - loss: 0.1920 - mae: 0.3292 - val_loss: 0.0337 - val_mae: 0.0974 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0300 - mae: 0.1289 - val_loss: 0.0354 - val_mae: 0.1019 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0127 - mae: 0.0815 - val_loss: 0.0331 - val_mae: 0.1019 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0086 - mae: 0.0664 - val_loss: 0.0235 - val_mae: 0.0875 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0082 - mae: 0.0611 - val_loss: 0.0186 - val_mae: 0.0823 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 45ms/step - loss: 0.0064 - mae: 0.0545 - val_loss: 0.0082 - val_mae: 0.0585 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 57ms/step - loss: 0.0057 - mae: 0.0515 - val_loss: 0.0066 - val_mae: 0.0534 - learning_rate: 0.0010\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 40ms/step - loss: 0.0050 - mae: 0.0482 - val_loss: 0.0058 - val_mae: 0.0458 - learning_rate: 0.0010\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 33ms/step - loss: 0.0045 - mae: 0.0458 - val_loss: 0.0045 - val_mae: 0.0426 - learning_rate: 0.0010\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 32ms/step - loss: 0.0043 - mae: 0.0440 - val_loss: 0.0039 - val_mae: 0.0400 - learning_rate: 0.0010\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 31ms/step - loss: 0.0042 - mae: 0.0435 - val_loss: 0.0048 - val_mae: 0.0426 - learning_rate: 0.0010\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 47ms/step - loss: 0.0040 - mae: 0.0425 - val_loss: 0.0044 - val_mae: 0.0393 - learning_rate: 0.0010\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m5s\u001b[0m 57ms/step - loss: 0.0038 - mae: 0.0422 - val_loss: 0.0032 - val_mae: 0.0392 - learning_rate: 0.0010\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 30ms/step - loss: 0.0034 - mae: 0.0408 - val_loss: 0.0038 - val_mae: 0.0388 - learning_rate: 0.0010\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 30ms/step - loss: 0.0035 - mae: 0.0397 - val_loss: 0.0032 - val_mae: 0.0398 - learning_rate: 0.0010\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 55ms/step - loss: 0.0032 - mae: 0.0390 - val_loss: 0.0035 - val_mae: 0.0393 - learning_rate: 0.0010\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 70ms/step - loss: 0.0032 - mae: 0.0391 - val_loss: 0.0032 - val_mae: 0.0404 - learning_rate: 5.0000e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 30ms/step - loss: 0.0030 - mae: 0.0381 - val_loss: 0.0034 - val_mae: 0.0378 - learning_rate: 5.0000e-04\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 31ms/step - loss: 0.0030 - mae: 0.0379 - val_loss: 0.0029 - val_mae: 0.0387 - learning_rate: 5.0000e-04\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 38ms/step - loss: 0.0032 - mae: 0.0384 - val_loss: 0.0027 - val_mae: 0.0354 - learning_rate: 5.0000e-04\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 75ms/step - loss: 0.0035 - mae: 0.0387 - val_loss: 0.0027 - val_mae: 0.0366 - learning_rate: 5.0000e-04\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 28ms/step - loss: 0.0027 - mae: 0.0363 - val_loss: 0.0034 - val_mae: 0.0352 - learning_rate: 5.0000e-04\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0028 - mae: 0.0364 - val_loss: 0.0030 - val_mae: 0.0345 - learning_rate: 5.0000e-04\n", "Epoch 24/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0026 - mae: 0.0359 - val_loss: 0.0038 - val_mae: 0.0371 - learning_rate: 2.5000e-04\n", "Epoch 25/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0026 - mae: 0.0355 - val_loss: 0.0032 - val_mae: 0.0343 - learning_rate: 2.5000e-04\n", "Epoch 26/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0025 - mae: 0.0349 - val_loss: 0.0028 - val_mae: 0.0341 - learning_rate: 2.5000e-04\n", "Epoch 27/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0025 - mae: 0.0349 - val_loss: 0.0028 - val_mae: 0.0335 - learning_rate: 1.2500e-04\n", "Epoch 28/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 27ms/step - loss: 0.0026 - mae: 0.0354 - val_loss: 0.0030 - val_mae: 0.0339 - learning_rate: 1.2500e-04\n" ] } ], "source": [ "# callbacks\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_GRU_S.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "\n", "# training GRU sentiment model\n", "history_gru_s = gru_model_s.fit(\n", " X_train_seq_s,\n", " y_train_seq_s,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "3NovVWzNgctN", "outputId": "4fda9846-1f64-460f-f117-71171b2ae497" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# plot training loss and validaion loss of GRU sentiment model\n", "plot_history(history_gru_s, \"GRU_Sentiment\")" ] }, { "cell_type": "markdown", "source": [ "Predictions of GRU sentiment models" ], "metadata": { "id": "aITuTiPwz0ZB" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "emvOW_iQhr2x", "outputId": "6972cdf6-9ea2-4184-9a0d-1157f06cf529" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step\n" ] } ], "source": [ "# GRU sentiment model make predictions of test data\n", "gru_s_predictions, target_test_actual_s = predict_and_inverse_scale(\n", " gru_model_s,\n", " X_test_seq_s,\n", " y_test_seq_s,\n", " target_scaler_s\n", ")\n" ] }, { "cell_type": "markdown", "source": [ "Results and plotting actual and GRU sentiment predictions" ], "metadata": { "id": "AtrbzFF7yFkm" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "VgBznnszhuDb", "outputId": "4c925c34-6000-42d0-9b6f-1560331e6f49" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [ " Actual Volatility GRU_Sentiment Predicted Volatility\n", "Date \n", "2021-02-03 0.169317 0.156151\n", "2021-02-04 0.168703 0.158119\n", "2021-02-05 0.162807 0.160733\n", "2021-02-08 0.161744 0.161071\n", "2021-02-09 0.160136 0.161194" ], "text/html": [ "\n", "
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Actual VolatilityGRU_Sentiment Predicted Volatility
Date
2021-02-030.1693170.156151
2021-02-040.1687030.158119
2021-02-050.1628070.160733
2021-02-080.1617440.161071
2021-02-090.1601360.161194
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "gru_s_results", "summary": "{\n \"name\": \"gru_s_results\",\n \"rows\": 773,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2021-02-03 00:00:00\",\n \"max\": \"2024-02-29 00:00:00\",\n \"num_unique_values\": 773,\n \"samples\": [\n \"2022-07-14 00:00:00\",\n \"2023-10-16 00:00:00\",\n \"2023-02-21 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Actual Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06338538102384665,\n \"min\": 0.06803955684916459,\n \"max\": 0.3489603286420088,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.22844653419723016,\n 0.12527449320834527,\n 0.1586309742806594\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"GRU_Sentiment Predicted Volatility\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 773,\n \"samples\": [\n 0.30445438623428345,\n 0.14524683356285095,\n 0.15510894358158112\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 466 } ], "source": [ "# creating results dataframe and plotting actual and predicted values\n", "gru_s_results = create_results_and_plot(\n", " model_name=\"GRU_Sentiment\",\n", " predictions=gru_s_predictions,\n", " actual=target_test_actual_s,\n", " y_test=y_test_s,\n", " lookback=lookback\n", ")\n", "\n", "gru_s_results.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "pa-pJVmkiRdi" }, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": { "id": "92uvor_oihBp" }, "source": [ "## LSTM with sentiment" ] }, { "cell_type": "markdown", "source": [ "Installing LSTM sentiment model" ], "metadata": { "id": "DxnVTC5IR_rd" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 423 }, "id": "L4E7t9bEijwv", "outputId": "fb213208-0241-4089-e500-67e352c1cd00" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"sequential_30\"\u001b[0m\n" ], "text/html": [ "
Model: \"sequential_30\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ lstm_40 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m80,384\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_120 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ lstm_41 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m49,408\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_121 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ lstm_42 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m12,416\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_122 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_132 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m1,056\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_123 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_133 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m33\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ lstm_40 (LSTM)                  │ (None, 21, 128)        │        80,384 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_120 (Dropout)           │ (None, 21, 128)        │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ lstm_41 (LSTM)                  │ (None, 21, 64)         │        49,408 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_121 (Dropout)           │ (None, 21, 64)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ lstm_42 (LSTM)                  │ (None, 32)             │        12,416 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_122 (Dropout)           │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_132 (Dense)               │ (None, 32)             │         1,056 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_123 (Dropout)           │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_133 (Dense)               │ (None, 1)              │            33 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m143,297\u001b[0m (559.75 KB)\n" ], "text/html": [ "
 Total params: 143,297 (559.75 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Trainable params: \u001b[0m\u001b[38;5;34m143,297\u001b[0m (559.75 KB)\n" ], "text/html": [ "
 Trainable params: 143,297 (559.75 KB)\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Non-trainable params: \u001b[0m\u001b[38;5;34m0\u001b[0m (0.00 B)\n" ], "text/html": [ "
 Non-trainable params: 0 (0.00 B)\n",
              "
\n" ] }, "metadata": {} } ], "source": [ "# installing LSTM sentiment model with input shape(21,28)\n", "tf.keras.utils.set_random_seed(42)\n", "lstm_model_s = get_lstm_model(\n", " input_shape=(X_train_seq_s.shape[1], X_train_seq_s.shape[2])\n", ")" ] }, { "cell_type": "markdown", "source": [ "Compilling LSTM sentiment model" ], "metadata": { "id": "gzM2eqm8xOBG" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "TZe37gdSixhI" }, "outputs": [], "source": [ "# compilling LSTM sentiment model with adam optimiser\n", "lstm_model_s.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "Call backs and training LSTM sentiment model" ], "metadata": { "id": "qDq8AX3ouANN" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "X-qUvhoOjPWt", "outputId": "92307746-eaad-4e2a-f9a0-fe1e539d2913" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - loss: 0.0101 - mae: 0.0631 - val_loss: 0.0074 - val_mae: 0.0442 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0051 - mae: 0.0452 - val_loss: 0.0093 - val_mae: 0.0507 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0045 - mae: 0.0418 - val_loss: 0.0076 - val_mae: 0.0506 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0037 - mae: 0.0391 - val_loss: 0.0084 - val_mae: 0.0573 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0033 - mae: 0.0370 - val_loss: 0.0046 - val_mae: 0.0361 - learning_rate: 5.0000e-04\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - loss: 0.0031 - mae: 0.0332 - val_loss: 0.0032 - val_mae: 0.0309 - learning_rate: 5.0000e-04\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - loss: 0.0030 - mae: 0.0331 - val_loss: 0.0023 - val_mae: 0.0270 - learning_rate: 5.0000e-04\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0026 - mae: 0.0330 - val_loss: 0.0017 - val_mae: 0.0269 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0029 - mae: 0.0331 - val_loss: 0.0022 - val_mae: 0.0283 - learning_rate: 5.0000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0026 - mae: 0.0320 - val_loss: 0.0030 - val_mae: 0.0284 - learning_rate: 5.0000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0029 - mae: 0.0322 - val_loss: 0.0040 - val_mae: 0.0353 - learning_rate: 5.0000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0027 - mae: 0.0319 - val_loss: 0.0018 - val_mae: 0.0255 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0024 - mae: 0.0305 - val_loss: 0.0017 - val_mae: 0.0258 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0024 - mae: 0.0303 - val_loss: 0.0019 - val_mae: 0.0261 - learning_rate: 2.5000e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0023 - mae: 0.0297 - val_loss: 0.0017 - val_mae: 0.0250 - learning_rate: 1.2500e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0023 - mae: 0.0298 - val_loss: 0.0016 - val_mae: 0.0244 - learning_rate: 1.2500e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 23ms/step - loss: 0.0024 - mae: 0.0298 - val_loss: 0.0018 - val_mae: 0.0256 - learning_rate: 1.2500e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 15ms/step - loss: 0.0021 - mae: 0.0294 - val_loss: 0.0019 - val_mae: 0.0263 - learning_rate: 1.2500e-04\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0022 - mae: 0.0292 - val_loss: 0.0027 - val_mae: 0.0302 - learning_rate: 1.2500e-04\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0023 - mae: 0.0291 - val_loss: 0.0017 - val_mae: 0.0233 - learning_rate: 6.2500e-05\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0022 - mae: 0.0287 - val_loss: 0.0013 - val_mae: 0.0218 - learning_rate: 6.2500e-05\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0022 - mae: 0.0296 - val_loss: 0.0022 - val_mae: 0.0273 - learning_rate: 6.2500e-05\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0026 - mae: 0.0295 - val_loss: 0.0021 - val_mae: 0.0266 - learning_rate: 6.2500e-05\n", "Epoch 24/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0021 - mae: 0.0289 - val_loss: 0.0021 - val_mae: 0.0266 - learning_rate: 6.2500e-05\n", "Epoch 25/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 0.0024 - mae: 0.0291 - val_loss: 0.0018 - val_mae: 0.0245 - learning_rate: 3.1250e-05\n", "Epoch 26/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 0.0024 - mae: 0.0288 - val_loss: 0.0019 - val_mae: 0.0254 - learning_rate: 3.1250e-05\n", "Epoch 27/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 22ms/step - loss: 0.0022 - mae: 0.0286 - val_loss: 0.0022 - val_mae: 0.0268 - learning_rate: 3.1250e-05\n", "Epoch 28/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 22ms/step - loss: 0.0028 - mae: 0.0302 - val_loss: 0.0020 - val_mae: 0.0250 - learning_rate: 1.5625e-05\n", "Epoch 29/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0019 - mae: 0.0279 - val_loss: 0.0021 - val_mae: 0.0256 - learning_rate: 1.5625e-05\n" ] } ], "source": [ "# call backs\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_LSTM_S.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "\n", "# training\n", "history_lstm_s = lstm_model_s.fit(\n", " X_train_seq_s,\n", " y_train_seq_s,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "NM1zIeeRjacb", "outputId": "ce15dc25-cfda-422f-aba8-22bdd0d84463" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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v3p3SpUuzevVqZs2aRdeuXfM0nVNEJL8p+RIREbvq06cPf/311w3fDw4O5ujRowUXkBRbDRo0wMnJiXfffZf4+HhbEY4333zT0aGJiGRLa75ERMSutmzZctN9ltzd3TUqISIiJZKSLxERERERkQKgghsiIiIiIiIFQGu+8shsNnPy5Ek8PT21kaOIiIiISAlmsVhISEigQoUKGI03Ht9S8pVHJ0+eJCgoyNFhiIiIiIhIIREVFUWlSpVu+L6Srzzy9PQErN9gLy8vh8aSlpbGkiVL6Nq1K87Ozg6NRQqOnnvJpOde8uiZl0x67iWTnnvRFR8fT1BQkC1HuBElX3mUOdXQy8urUCRfHh4eeHl56R9qCaLnXjLpuZc8euYlk557yaTnXvTdajmSCm6IiIiIiIgUACVfIiIiIiIiBUDJl4iIiIiISAHQmi8RERERKZYsFgvp6elkZGQ4OpQcSUtLw8nJieTk5CITc0lhMplwcnK67S2mlHyJiIiISLGTmprKqVOnuHjxoqNDyTGLxUJAQABRUVHaR7YQ8vDwIDAwEBcXlzz3oeRLRERERIoVs9nMkSNHMJlMVKhQARcXlyKRzJjNZhITEylduvRNN+qVgmWxWEhNTeXMmTMcOXKE0NDQPD8fJV8iIiIiUqykpqZiNpsJCgrCw8PD0eHkmNlsJjU1FTc3NyVfhYy7uzvOzs4cO3bM9ozyQk9VRERERIolJTBiT/b4+6S/kSIiIiIiIgVAyZeIiIiIiEgBUPIlIiIiIlJMhYSEMGXKlBy3X7lyJQaDgbi4uHyLCeDrr7+mTJky+XqPwkjJl4iIiIiIgxkMBkwmEz4+PphMJgwGQ5Y/48aNy1O/mzZt4oknnshx+9atW3Pq1Cm8vb3zdD+5OVU7FBERERFxsFOnTmE2m0lISOCPP/5g7Nix7N+/3/Z+6dKlbccWi4WMjAycnG79o7yvr2+u4nBxcSEgICBX10jOaeSriDuXmEL/zzfyxlYTFovF0eGIiIiIFEoWi4WLqekF/ienP58FBAQQEBCAv78/Xl5eGAwG27l9+/bh6enJH3/8QVhYGK6urqxevZrDhw9z77334u/vT+nSpWnWrBnLli3L0u+10w4NBgNffPEFvXv3xsPDg9DQUBYsWGB7/9pph5nTAxcvXkzt2rUpXbo03bp149SpU7Zr0tPTGT58OGXKlKFcuXK8/PLLPProo/Tq1StXz+iTTz6hWrVquLi4ULNmTb777rssz2/cuHFUrlwZV1dXKlSowPDhw23vf/zxx4SGhuLm5oa/vz/3339/ru5dUDTyVcR5ujmzNSoOi8XAuaRUAm9jx20RERGR4upSWgZ1xiwu8PvueT0cDxf7/Mj93//+l0mTJlG1alV8fHyIioqie/fuvPXWW7i6uvLtt9/Ss2dP9u/fT+XKlW/Yz/jx43n33XeZOHEiH374IQ899BDHjh2jbNmy2ba/ePEikyZN4rvvvsNoNPLwww/z4osv8sMPPwDwzjvv8MMPPzBjxgxq167NBx98wPz587njjjty/Nl++eUXRowYwZQpU+jcuTO///47gwcPplKlStxxxx38/PPPvP/++8yePZu6desSHR3Njh07ANi8eTPDhw/nu+++o3Xr1sTGxrJq1apcfGcLjsNHvj766CNCQkJwc3OjRYsWbNy48abt586dS61atXBzc6N+/fosWrQoy/vz5s2ja9eulCtXDoPBwPbt26/rIzk5mWeffZZy5cpRunRp7rvvPmJiYuz5sQqMi5MRf09XAI6fv+TgaEREREQkv7z++ut06dKFatWqUbZsWRo2bMiTTz5JvXr1CA0N5Y033qBatWpZRrKyM2jQIAYMGED16tV5++23SUxMvOnP4GlpaUyfPp2mTZvSpEkThg0bxvLly23vf/jhh4wePZrevXtTq1Ytpk2blutiGpMmTWLQoEE888wz1KhRg5EjR9KnTx8mTZoEQGRkJAEBAXTu3JnKlSvTvHlzhg4danuvVKlS3H333QQHB9O4ceMso2KFiUNHvubMmcPIkSOZPn06LVq0YMqUKYSHh7N//378/Pyua7927VoGDBjAhAkTuPvuu5k5cya9evVi69at1KtXD4CkpCTatm1Lv379bA/kWi+88AILFy5k7ty5eHt7M2zYMPr06cOaNWvy9fPml0o+7kTHp3AiLplmjg5GREREpBBydzax5/Vwh9zXXpo2bZrl68TERMaNG8fChQs5deoU6enpXLp0icjIyJv206BBA9txqVKl8PLy4vTp0zds7+HhQbVq1WxfBwYG2tpfuHCBmJgYmjdvbnvfZDIRFhaG2WzO8Wfbu3fvdYVB2rRpwwcffABA3759mTJlClWrVqVbt250796dnj174uTkRJcuXQgODra9161bN9u0ysLGoSNfkydPZujQoQwePJg6deowffp0PDw8+Oqrr7Jt/8EHH9CtWzdGjRpF7dq1eeONN2jSpAnTpk2ztRk4cCBjxoyhc+fO2fZx4cIFvvzySyZPnkynTp0ICwtjxowZrF27lvXr1+fL58xvlcq4Axr5EhEREbkRg8GAh4tTgf8xGAx2+wylSpXK8vWLL77IL7/8wttvv82qVavYvn079evXJzU19ab9ODs7X/e9uVmilF37gq41EBQUxP79+/n4449xd3fnmWeeoX379qSlpeHp6cnWrVuZNWsWgYGBjBkzhoYNG+Z7ufy8cNjIV2pqKlu2bGH06NG2c0ajkc6dO7Nu3bpsr1m3bh0jR47Mci48PJz58+fn+L5btmwhLS0tS3JWq1YtKleuzLp162jZsmW216WkpJCSkmL7Oj4+HrAOw6alpeX4/vkh0Mu6zisqNsnhsUjByXzWeuYli557yaNnXjLpud+etLQ0LBYLZrM5V6MvjnZtQpMZ+9WvV3+eNWvW8Oijj3LvvfcC1pGwo0eP2j771f1e/XV235fMc9fe69oYro3H09MTf39/Nm7cSNu2bQHIyMhg69atNGzY8Ibf/2v7rV27NqtXr2bgwIG2NqtXr6Z27dq2Nq6urvTo0YMePXrw9NNPU6dOHXbs2EGTJk0wGo106tSJTp068X//93+ULVuWZcuW0adPnxt9u3PNbDZjsVhIS0vDZMo6opnTf6sOS77Onj1LRkYG/v7+Wc77+/uzb9++bK+Jjo7Otn10dHSO7xsdHY2Li8t181Bv1c+ECRMYP378deeXLFni8CHNuNMGwMTOw8dZtOjmw8xS/CxdutTRIYgD6LmXPHrmJZOee944OTkREBBAYmLiLUeBCqPk5GQsFovtl/0XL14EICEhAaPxysS1kJAQfvrpJ1thi7fffhuz2UxqaqrtWrPZTHJysu1rgEuXLmX52mKx2Npce69rY8m8Hq4MRjz++ONMmDCBChUqEBoaymeffUZsbCwZGRlZrrvZZ3zmmWcYPHgwtWrVomPHjkRERPDLL78wf/584uPjmTlzJhkZGYSFheHh4cEPP/yAu7s7ZcuW5ccff+TYsWO0bt0ab29vli5ditlspmLFije8f16kpqZy6dIl/v77b9LT07O8l/l9uxVVO8yh0aNHZxl1i4+PJygoiK5du+Ll5eXAyMDzwGlmHd5OilNpundv69BYpOCkpaWxdOlSunTpct10ACm+9NxLHj3zkknP/fYkJycTFRVF6dKlcXNzc3Q4OWaxWEhISMDNzQ2DwWD7GTPzF/2enp5Zfu784IMPePzxxwkPD6d8+fK89NJLXLp0CRcXF1s7o9GIm5tbluvc3d2zfG0wGGxtrr3XtbFkXg/Yzo0ZM4a4uDiefvppTCYTQ4cOJTw8HJPJdMOfk6/td8CAAcTFxTF58mRGjx5NlSpV+PLLL+nevTtgLcX/7rvv8tprr5GRkUH9+vX59ddfCQkJ4fjx40yfPp133nmH5ORkQkND+eGHH2jRosVtPI3rJScn4+7uTvv27a/7e5XTJM9hyVf58uUxmUzXVRmMiYm54cZuAQEBuWp/oz5SU1OJi4vLMvp1q35cXV1xdXW97ryzs7PD/6MYXN666d6JuGScnOw7t1gKv8Lwd1AKnp57yaNnXjLpuedNRkYGBoMBo9GYZaSosMucXjdo0CAee+wx2/lOnTplu8aqatWq/Pnnn1nODRs2LMvXR48ezfJ1dv1cvTbq2ns99thjWWIB6NOnT5Y2Li4uTJs2zVaHwWw2U7t2bfr163fD7392/T777LM8++yz2bbv06fPDacQtm/fnpUrV2b7nj0ZjUYMBkO2/y5z+u/UYX8bXVxcCAsLy1Km0mw2s3z5clq1apXtNa1atcrSHqzD8Tdqn52wsDCcnZ2z9LN//34iIyNz1U9hEuDlhgELKelmziYWvaF1ERERESm6jh07xueff86BAwfYtWsXTz/9NEeOHOHBBx90dGiFjkOnHY4cOZJHH32Upk2b0rx5c6ZMmUJSUhKDBw8G4JFHHqFixYpMmDABgBEjRtChQwfee+89evTowezZs9m8eTOfffaZrc/Y2FgiIyM5efIkYE2s4Mqu4d7e3gwZMoSRI0dStmxZvLy8eO6552jVqtUNi20Udi5ORrxdIC4Vjp+/iK/n9SN0IiIiIiL5wWg08vXXX/Piiy9isVioV68ey5Yto3bt2o4OrdBxaPL1wAMPcObMGcaMGUN0dDSNGjUiIiLCVlQjMjIyy1Bl69atmTlzJq+99hqvvPIKoaGhzJ8/37bHF8CCBQtsyRtA//79ARg7dizjxo0D4P3338doNHLfffeRkpJCeHg4H3/8cQF84vxTztWafEWdv0Tjyj6ODkdERERESoigoKAiu19uQXN4wY1hw4ZdNzc1U3ZzN/v27Uvfvn1v2N+gQYMYNGjQTe/p5ubGRx99xEcffZSbUAu1sq4WDicYOH4+Z5VWRERERESkYBWdFYhyU2UvzzTURssiIiIiIoWTkq9ioqybteKMki8RERERkcJJyVcxcWXkS9MORUREREQKIyVfxUQ5V+vI14nzl7Ldv0FERERERBxLyVcxUcYFjAZISTdzJjHF0eGIiIiIiMg1lHwVEyajdbNl0LovERERkZKqY8eOPP/887avQ0JCmDJlyk2vMRgMzJ8//7bvba9+bmbcuHE0atQoX++Rn5R8FSMVfdwBJV8iIiIiRU3Pnj256667sn1v1apVGAwGdu7cmet+N23axBNPPHG74WVxowTo1KlTN/wMYqXkqxipVCZz5EtFN0RERESKkiFDhrBs2TJOnDhx3XszZsygadOmNGjQINf9+vr64uHhYY8QbykgIABXV9cCuVdRpeSrGKlYRiNfIiIiItmyWCA1qeD/5LAQ2t13342vry+zZs3Kcj4xMZG5c+cyZMgQzp07x4ABA6hYsSIeHh7Ur1//uvbXunba4cGDB2nfvj1ubm7UqVOHpUuXXnfNyy+/TI0aNfDw8KBq1ar83//9H2lpaQB8/fXXjB8/nh07dmAwGDAYDHz99dfA9dMOd+3aRadOnXB3d6dcuXI88cQTJCYm2t4fNGgQvXr1YtKkSQQGBlKuXDmeffZZ271ywmw28/rrr1OpUiVcXV1p1KgRERERtvdTU1MZNmwYgYGBuLm5ERwczIQJEwCwWCyMGzeOypUr4+rqSoUKFRg+fHiO750XTvnauxQoTTsUERERuYG0i/B2hYK/7ysnwaXULZs5OTkxcOBAZs6cyfjx423n586dS0ZGBgMGDCAxMZGwsDBefvllvLy8WLhwIQMHDqRatWo0b978lvcwm8306dMHf39/NmzYwIULF7KsD8vk6enJ119/TYUKFdi1axdDhw7F09OTl156iQceeIB//vmHiIgIli1bBoC3t/d1fSQlJREeHk6rVq3YtGkTp0+f5vHHH2fYsGG2ZA1gxYoVBAYGsmLFCg4dOsQDDzxAo0aNGDp06C0/D8AHH3zAe++9x6effkrjxo356quvuOeee9i9ezehoaFMnTqVBQsW8OOPP1K5cmWioqKIiooC4Oeff+b9999n9uzZ1K1bl+joaHbs2JGj++aVkq9ipJJt5EvTDkVERESKmsGDBzNp0iT++usvOnXqBFinHN533314e3vj7e3Niy++aGv/3HPPsXjxYn788cccJV/Lli1j3759LF68mAoVrIno22+/fd06rddee812HBISwosvvsjs2bN56aWXcHd3p3Tp0jg5OREQEHDDe82cOZPk5GS+/fZbSpWyJp/Tpk2jZ8+evPPOO/j7+wPg4+PDtGnTMJlM1KpVix49erB8+fIcJ1+TJk3i5Zdfpn///gC88847rFixgilTpvDRRx8RGRlJaGgobdu2xWAwEBwcbLs2MjKSgIAAOnfujLOzM5UrV87R9/F2KPkqRir6XKl2aDZbMBoNDo5IREREpJBw9rCOQjnivjlUq1YtmjdvzowZM+jUqROHDh1i1apVvP766wBkZGTw9ttv8+OPP3LixAlSU1NJSUnJ8ZquvXv3EhQUZEu8AFq1anVduzlz5jB16lQOHz5MYmIi6enpeHl55fhzZN6rYcOGtsQLoE2bNpjNZvbv329LvurWrYvJZLK1CQwMZNeuXTm6R3x8PCdPnqRNmzZZzrdp08Y2gjVo0CC6dOlCzZo16datG3fffTddu3YFoG/fvkyZMoWqVavSrVs3unfvTs+ePXFyyr8USWu+ipEALzeMBkhNN3NWe32JiIiIXGEwWKf/FfQfQ+5+GT5w4EDmzZtHQkICM2bMoFq1anTo0AGAiRMn8sEHH/Dyyy+zYsUKtm/fTnh4OKmpqXb7Nq1bt46HHnqI7t278/vvv7Nt2zZeffVVu97jas7Ozlm+NhgMmM1mu/XfpEkTjhw5whtvvMGlS5fo168f999/PwBBQUHs37+fjz/+GHd3d5555hnat2+fqzVnuaXkqxhxNhkJ9LZOPYzSui8RERGRIqdXr14YjUZmzpzJt99+y2OPPYbhcgK3Zs0a7r33Xh5++GEaNmxI1apVOXDgQI77rl27NlFRUZw6dcp2bv369VnarF27luDgYF599VWaNm1KaGgox44dy9LGxcWFjIyMW95rx44dJCUl2c6tWbMGo9FIzZo1cxzzzXh5eVGhQgXWrFmT5fyaNWuoU6dOlnYPPPAAn3/+OXPmzOHnn38mNjYWAHd3d3r27MnUqVNZuXIl69aty/HIW15o2mExU9HHnRNxlzh+/iJhwT6ODkdEREREcqF06dL069eP0aNHEx8fz6BBg2zvhYaG8tNPP7F27Vp8fHyYPHkyMTExWRKNm+ncuTM1atTg0UcfZeLEicTHx/Pqq69maRMaGkpkZCSzZ8+mWbNmLFy4kF9++SVLm5CQEI4cOcL27dupVKkSnp6e15WYf+ihhxg7diyPPvoo48aN48yZMzz33HMMHDjQNuXQHkaNGsXYsWOpVq0ajRo1YsaMGWzfvp0ffvgBgMmTJxMYGEjjxo0xGo3MnTuXgIAAypQpw9dff01GRgYtWrTAw8OD77//Hnd39yzrwuxNI1/FTCVVPBQREREp0h577DHOnz9PeHh4lvVZr732Gk2aNCE8PJyOHTsSEBBAr169ctyv0Wjkl19+4dKlSzRv3pzHH3+ct956K0ube+65hxdeeIFhw4bRqFEj1q5dy//93/9laXPffffRrVs37rjjjmzL4wN4eHiwePFiYmNjadasGffffz933nkn06ZNy9034xaGDx/OyJEj+c9//kP9+vWJiIhgwYIFhIaGAtbKje+++y5NmzalWbNmHD16lEWLFmE0GilTpgyff/45bdq0oUGDBixbtozffvuNcuXK2TXGqxkslhxuPiBZxMfH4+3tzYULF3K9ANHe0tLSWLRoEd27d+fDlUeYuvwgA5pXZkKf+g6NS/LX1c/92vnSUnzpuZc8euYlk5777UlOTubIkSNUqVIFNzc3R4eTY2azmfj4eLy8vDAaNUZS2Nzs71VOcwM91WImyEfl5kVERERECiMlX8VMJR9rqdETmnYoIiIiIlKoKPkqZmxrvuKse33ZTVwkRG2yX38iIiIiIiWMkq9iJtDbDZPRYN+9viwW+K43fNkFTmyxT58iIiIiIiWMkq9ixslkJMDLugDQbnt9ndgC5w4BFtj6nX36FBEREclnqisn9mSPv09KvoqhSvYuurFn/pXj3fMgLdk+/YqIiIjkg8wKkRcvqgCZ2E/m36fbqUCqTZaLoUo+Hmw4Emufvb4sFtj9q/XYYITkC3DgD6jb+/b7FhEREckHJpOJMmXKcPr0acC655TBYHBwVLdmNptJTU0lOTlZpeYLEYvFwsWLFzl9+jRlypTBZDLluS8lX8WQXTdaPrkVLkSCsweEDYL1H8P2WUq+REREpFALCAgAsCVgRYHFYuHSpUu4u7sXiWSxpClTpozt71VeKfkqhuw67XD3fOtrjXBo+pg1+Tq0DBJPQ2m/2+9fREREJB8YDAYCAwPx8/MjLS3N0eHkSFpaGn///Tft27fX5tqFjLOz822NeGVS8lUMZe71ddsjXxYL7Lk85bBOLygfChWbwonNsGsutHr29voXERERyWcmk8kuPzQXBJPJRHp6Om5ubkq+iilNJi2GMke+Tpy/zb2+Tm2HuGPWKYehXa3nGg2wvm6fdXtBioiIiIiUMEq+iiHbXl8ZZs7czl5fmVMOQ7uAi3U0jbp9wOQCMbsgetdtxyoiIiIiUlIo+SqGrt7rK8/rviyWKyXm6/S6ct6jLNToZj3eMTvPMYqIiIiIlDRKvoqp2654eGoHnD8KTu7WYhtXa/Sg9XXnj5CRnvcgRURERERKECVfxVRQ2dssupFZaCO0C7iUyvpe9c7gUR6STsPh5bcRpYiIiIhIyaHkq5i6rXLzV085rNvr+vdNzlC/r/V4+8w8xSciIiIiUtIo+SqmbqvcfPQuiP0XnNwgNDz7NplVD/f/AZfO5zFKEREREZGSQ8lXMXVba74yR72qdwbX0tm3CWgAfnUhIwV2/5K3IEVEREREShAlX8VUnvf6sliulJiv2/vG7QwGaNjfeqw9v0REREREbknJVzEV4JXHvb5idkPsYTC5Xl/l8FoN+oHBCMc3wrnDtxewiIiIiEgxp+SrmHIyGQn0zsNeX1mmHHrevK1nAFS703q8Q6NfIiIiIiI3o+SrGMucehgVm8N1X1mmHPbK2TWZUw93zAazOVfxiYiIiIiUJEq+irErFQ9zOPJ1eg+cO3h5ymG3nF1Tqwe4esOFKDi2Oo+RioiIiIgUf0q+irFcVzzM3Fi5+p3g5pWza5zdr4yS7ZiduwBFREREREoQJV/FWK73+sqccljn3tzdqNGD1tc9v0JqUu6uFREREREpIZR8FWNXRr5yMO3w9F44ux9MLlDzrtzdKKgF+FSB1ETY+1seIhURERERKf6UfBVjtr2+4nKw11fmqFe1TuDmnbsbGQzQcID1ePvM3F0rIiIiIlJCKPkqxgK83HAyGkjLsHA64RZ7fWWu96rTK283a/iA9fXI33DheN76EBEREREpxpR8FWNOJiOBZXKw19eZ/XBmLxidcz/lMJNPCAS3ASywc07e+hARERERKcaUfBVzlcrkoOiGbcrhHeBeJu83s009nGXdM0xERERERGyUfBVzOSq6sWe+9TWvUw4z1bkXnNyte4Wd2Hp7fYmIiIiIFDNKvoq5W5abP3PAurmy0Rlqdb+9m7l5Qe2e1uMdKrwhIiIiInI1JV/F3C03Ws4stFG1I7j73P4NG/a3vu76CdJvUeRDRERERKQEUfJVzN1y2qFtymEuN1a+kaodwbMCJMfBgQj79CkiIiIiUgwo+SrmKpW1Tjs8EXeJjGv3+jp7CGL+AaMT1OphnxsaTdCgn/V4x2z79CkiIiIiUgwo+Srm/D1dr9rrKznrm3t+sb5W6QAeZe1308yqhweXQNJZ+/UrIiIiIlKEKfkq5rLu9XXNuq/dl9d71e1l35v61YIKjcGcDrvm2rdvEREREZEiSslXCXBlr6+r1n2dOwwxu8Bggpp2mnJ4tYYPWl+3q+qhiIiIiAgo+SoRbEU3Yq8a+costFGlPZQqZ/+b1rvPWr4+eifE7LZ//yIiIiIiRYySrxIg272+ds+3vtp7ymGmUuWgRrj1eMes/LmHiIiIiEgRouSrBLCNfMVdnnYY+691RMpgglo98+/GmYU3dv4IGen5d5/cSDwN6z6Ci7GOjkREREREShglXyVAUNlrRr4yN1YOaZs/Uw4zhXYF97KQGAP/rsy/++RUSiJ81xsWvwJrP3R0NCIiIiJSwij5KgEyR75OZu71ld9TDjM5uUD9+63HOxxceMNshnlDrfuagXXkT0RERESkACn5KgH8vdxse32di9oPp7aDwZi/Uw4zZU493LcQki/k//1uZPl42L/oytdn9jsuFhEREREpkZR8lQAmo4EKZayjXyk751lPhrSF0r75f/MKjcG3FqQnw+5f8v9+2dk+E9ZMsR53n2R9vRAFKQmOiUdERERESiQlXyVE5tTD0od/t56o06tgbmwwXBn92jG7YO55tcj18NsI63G7F6H5UCgdYP1ao18iIiIiUoCUfJUQlXzcqWQ4g0/cbuuUw9oFMOUwU4N+1ntGrrNWWiwo54/B7IcgI9X6ee941Xrer5b19cy+gotFREREREo8JV8lRCUfD+4ybrB+EdwGSvsV3M29KkDVjtbjghr9SkmAWf3h4lkIaAC9PwXj5b/uvpeTr9N7CyYWERERERGUfJUYlXzc6WG6nHzVubfgA2j4oPV1xyxr5cH8ZM6Anx+H03ugtD8MmA0upa6876uRLxEREREpeEq+SoiqzrE0Mh7GjAFq31PwAdTqAS6eEBdpnX6Yn5aNgwMR4OQG/WeBd8Ws7/vVtr6eVvIlIiIiIgVHyVcJUeXMcgA2m2uSUaoApxxmcvGAupdH3PJzz69tP8Daqdbjez+CSmHXt/GtaX2NPw7J8fkXi4iIiIjIVZR8lRBehxcC8HtGC2Likx0TRObUw92/QupF+/d/bN2VyobtX7qywfO13H2uVDw8e8D+cYiIiIiIZMPhyddHH31ESEgIbm5utGjRgo0bN960/dy5c6lVqxZubm7Ur1+fRYsWZXnfYrEwZswYAgMDcXd3p3Pnzhw8eDBLmwMHDnDvvfdSvnx5vLy8aNu2LStWrLD7Zys0LhzHcGITZgz8kdGc4+cvOSaOyq2gTDCkJsC+3+3b9/mjMOchMKdZ17R1HH3z9n4quiEiIiIiBcuhydecOXMYOXIkY8eOZevWrTRs2JDw8HBOnz6dbfu1a9cyYMAAhgwZwrZt2+jVqxe9evXin3/+sbV59913mTp1KtOnT2fDhg2UKlWK8PBwkpOvjPbcfffdpKen8+eff7JlyxYaNmzI3XffTXR0dL5/ZofY8ysA+13qcgYfjp/Ph1GnnDAaoWF/6/GOWfbrNzkeZvaHi+cgsBH0mn6lsuGN+F5e96WiGyIiIiJSQByafE2ePJmhQ4cyePBg6tSpw/Tp0/Hw8OCrr77Ktv0HH3xAt27dGDVqFLVr1+aNN96gSZMmTJs2DbCOek2ZMoXXXnuNe++9lwYNGvDtt99y8uRJ5s+fD8DZs2c5ePAg//3vf2nQoAGhoaH873//4+LFi1mSuGJl93wADpTrBOC4kS+4knz9uxLiT95+f5mVDc/stU4lHDDLur7sVjLXfSn5EhEREZEC4uSoG6emprJlyxZGj74yPcxoNNK5c2fWrcu+Gt66desYOXJklnPh4eG2xOrIkSNER0fTuXNn2/ve3t60aNGCdevW0b9/f8qVK0fNmjX59ttvadKkCa6urnz66af4+fkRFpZNcYbLUlJSSElJsX0dH28t1JCWlkZaWlquP789Zd4/2zjiT+J83DqV83TFrnAknshzSY6L2TMIU1BLjFHrydg2C3Pr4bfVnXHZGEwHF2NxciOj77dY3H0hB5/NUDYUJ8Byei/pDn5+eXXT5y7Flp57yaNnXjLpuZdMeu5FV06fmcOSr7Nnz5KRkYG/v3+W8/7+/uzbl/1oRHR0dLbtM6cLZr7erI3BYGDZsmX06tULT09PjEYjfn5+RERE4OPjc8N4J0yYwPjx4687v2TJEjw8cjDSUgCWLl163bmqpxdTHzhXKpRj0ecBEzsORbFo0bECjy9TZerQmPUkrfuSFeergcGQt37O/UXjyC8B2FxpCCe3R8P2Rbe4yso5PYnugCH+BEt++5l0k3ueYigMsnvuUvzpuZc8euYlk557yaTnXvRcvJizZT0OS74cxWKx8Oyzz+Ln58eqVatwd3fniy++oGfPnmzatInAwMBsrxs9enSWUbf4+HiCgoLo2rUrXl5eBRV+ttLS0li6dCldunTB2dk5y3umbz4CoEzrQfTwb8n3hzaRbCpF9+7tHBGqVXJbLB/MxCv5BD0aV8BSoXGuuzBErsX0w7cAZLQbRaP2L9Mol31YjozDkBhDeJMQLBVvPOpZWN3suUvxpede8uiZl0x67iWTnnvRlTkr7lYclnyVL18ek8lETExMlvMxMTEEBARke01AQMBN22e+xsTEZEmiYmJiaNSoEQB//vknv//+O+fPn7clTR9//DFLly7lm2++4b///W+293Z1dcXV1fW6887OzoXmH8d1scSfhOMbADDV600IngCcupCM0eSEyZi3Eafb5lzOuunyPz/jtHsuBDfP3fWxR+CnQdbKhnV7Y7rjFUy3KrCRHb/akBiDU+xBCGmZ++sLicL0d1AKjp57yaNnXjLpuZdMeu5FT06fl8MKbri4uBAWFsby5ctt58xmM8uXL6dVq1bZXtOqVass7cE6LJvZvkqVKgQEBGRpEx8fz4YNG2xtMocEjdf8sG40GjGbzbf/wQqTvb9ZXys1B++K+Hm64WwykG62OG6vr0yZe37t+gnSU3N+XXI8zOoPl2KhQmO49+NbVza8EVU8FBEREZEC5NBqhyNHjuTzzz/nm2++Ye/evTz99NMkJSUxePBgAB555JEsBTlGjBhBREQE7733Hvv27WPcuHFs3ryZYcOGAdb1XM8//zxvvvkmCxYsYNeuXTzyyCNUqFCBXr16AdYEzsfHh0cffZQdO3Zw4MABRo0axZEjR+jRo0eBfw/y1eUqh9TtBYDJaKBCGevapqhYB5Wbz1S1I5T2tyZRB5fk7BpzBvz0mDVZ8gyE/jmsbHgj2utLRERERAqQQ5OvBx54gEmTJjFmzBgaNWrE9u3biYiIsBXMiIyM5NSpU7b2rVu3ZubMmXz22Wc0bNiQn376ifnz51OvXj1bm5deeonnnnuOJ554gmbNmpGYmEhERARubm6AdbpjREQEiYmJdOrUiaZNm7J69Wp+/fVXGjZsWLDfgPyUEA2Rl6tG1rnXdrqSjzX5cmi5eQCTEzToZz3O6Z5fS/4PDi0FJ3drSXmv7Nfn5Zjv5eTrzP7b60dEREREJAccXnBj2LBhtpGra61cufK6c3379qVv37437M9gMPD666/z+uuv37BN06ZNWbx4ca5jLVL2LAAsUKkZeFeyna5UxgM45/jkC6xTD9d+CAcWQ9I5KFXuxm23fAPrrcVD6P2Jdcrh7cpMvuKPW6czujm2cIqIiIiIFG8OHfmSfLRnvvX1qlEvuHrky8HTDgH860BgQ2vhjH9+unG7I6tg4eVKk3e8CnV72+f+7mWs0xdBo18iIiIiku+UfBVHCTFwbK31+Nrkq2whmXaYqeEA6+uNph7G/gs/DgRzOtS7D9qPsu/9fWtaX89o3ZeIiIiI5C8lX8XR3stTDiuGQZnKWd6q5GMtUHE8rhCMfAHU7wtGJzi5DU5fU3Uw+QLM7A+XzkOFJnDvR3nekPmGbBUPNfIlIiIiIvlLyVdxtOdX62udXte9lTnt8FRcMukZhaC0fqnyENrVerxj5pXzGekwdzCc3Q+eFawFNpzd7X9/VTwUERERkQKi5Ku4STwNx9ZYj+vcc93bWfb6Skgp4OBuoGF/6+vOH63l5AGWvAaHl1+pbOiZ/cbbt017fYmIiIhIAVHyVdzs/Q0sZms1QJ+Q6942GQ1UvLzX13FH7/WVqUY3cCsDCafg35WweQZs+MT6Xp9PoUKj/Lt35pqv+BPWiociIiIiIvlEyVdxY6ty2OuGTWzrvgpL0Q0nV6h/v/V4+XhY9KL1uNNr1xUMsTtVPBQRERGRAqLkqzhJOgNHV1uPb5K0FJqNlq/W8EHr66kd1sqG9ftCuxcL5t62zZa17ktERERE8o+Sr2LEuH+hdcphYEMoW+WG7QrVXl+ZKjaBcqGXj5vCPR/av7LhjWQmX9dWWxQRERERsSMnRwcg9mPYu8B6cJMph1AIpx2CNdHq+YF1s+WOo/OnsuGNZFY8VNENEREREclHSr6KCZe0eAyZVQ7r9rppW9vIV2HZ6ytTSBvrn4KmiociIiIiUgA07bCYCLywBYMlAwIaQNmqN22bOfJ1srDs9eVoWSoeXnBsLCIiIiJSbCn5KiYqxG2yHtxi1AvAz9MVZ5OBDLOF6Pjk/A2sKMhS8fCAQ0MRERERkeJLyVdxcPEc5RP2WI9vsd4LwHj1Xl+Fad2XI6nioYiIiIjkMyVfxYDhwB8YMWPxqwflquXomkJZdMOR/C6v+1LFQxERERHJJ0q+igHj5SqH5tr35PiaQllu3pEy131p5EtERERE8omSr6LuYiyGo38DeU2+NPIFXFXxcL9j4xARERGRYkvJV1GXkYq5yWBiPOtDueo5vuzKtEONfAGqeCgiIiIi+U7JV1HnGYA5fALrq4/K1WUa+bqGexnwrGA91uiXiIiIiOQDJV8lVFBZ68jXqQva68smc/TrtNZ9iYiIiIj9KfkqoXxLu+JiMmqvr6v5ad2XiIiIiOSfPCVfaWlpREVFsX//fmJjY+0dkxQAo9FARU09zEp7fYmIiIhIPspx8pWQkMAnn3xChw4d8PLyIiQkhNq1a+Pr60twcDBDhw5l06ZN+Rmr2JnWfV0jM/nSXl8iIiIikg9ylHxNnjyZkJAQZsyYQefOnZk/fz7bt2/nwIEDrFu3jrFjx5Kenk7Xrl3p1q0bBw8ezO+4xQ6019c1Mtd8JZxUxUMRERERsTunnDTatGkTf//9N3Xr1s32/ebNm/PYY48xffp0ZsyYwapVqwgNDbVroGJ/meXmo2I18gVcqXiYcNK67iuouaMjEhEREZFiJEfJ16xZs3LUmaurK0899dRtBSQFRyNf2fCrZU2+Tu9V8iUiIiIidqVqhyWY1nxlw1Z0Q+u+RERERMS+cjTy1adPnxx3OG/evDwHIwUrc9phdLx1ry8nk3JxJV8iIiIikl9y9NO2t7e37Y+XlxfLly9n8+bNtve3bNnC8uXL8fb2zrdAxf6u3uvr1AXt9QVc2etLFQ9FRERExM5yNPI1Y8YM2/HLL79Mv379mD59OiaTCYCMjAyeeeYZvLy88idKyReZe30dOZvE8fOXCCrr4eiQHK98Detrwkm4FGctwiEiIiIiYge5nmf21Vdf8eKLL9oSLwCTycTIkSP56quv7Bqc5D8V3bhGZsVDgLMHHBqKiIiIiBQvuU6+0tPT2bfv+ilZ+/btw2w22yUoKTgqupENv8zNlvc6Ng4RERERKVZyNO3waoMHD2bIkCEcPnyY5s2tpbg3bNjA//73PwYPHmz3ACV/ZRbdUPJ1Fd/acPhPFd0QEREREbvKdfI1adIkAgICeO+99zh16hQAgYGBjBo1iv/85z92D1Dyl6YdZsO3pvVVI18iIiIiYke5Tr6MRiMvvfQSL730EvHx8QAqtFGEaeQrG5kVD8/sd2wcIiIiIlKs5Gljp/T0dJYtW8asWbMwGAwAnDx5ksTERLsGJ/kv6PLIV+ZeX8KVka/MiociIiIiInaQ65GvY8eO0a1bNyIjI0lJSaFLly54enryzjvvkJKSwvTp0/MjTskn5Uu74uJkJDXdzKkLySo3D+Dmba14mHDSOvpVuYWjIxIRERGRYiDXI18jRoygadOmnD9/Hnd3d9v53r17s3z5crsGJ/nPaDRQqYz1OUZp3dcVmRUPz2jdl4iIiIjYR65HvlatWsXatWtxcXHJcj4kJIQTJ07YLTApOBV93Pn38kbLcpmt4qHWfYmIiIiIfeR65MtsNpORkXHd+ePHj+Pp6WmXoKRgqehGNrTXl4iIiIjYWa6Tr65duzJlyhTb1waDgcTERMaOHUv37t3tGZsUEJWbz4Zv5rRD7fUlIiIiIvaR62mH7733HuHh4dSpU4fk5GQefPBBDh48SPny5Zk1a1Z+xCj57ErypZEvG1vFw1PWiofuZRwZjYiIiIgUA7lOvipVqsSOHTuYPXs2O3fuJDExkSFDhvDQQw9lKcAhRUfmtMMTSr6ucPMGr4oQf0IVD0VERETELnKdfAE4OTnx8MMP2zsWcZDMvb5OXbhEWoYZZ1Oetn8rfnxrXk6+9ir5EhEREZHblqPka8GCBTnu8J577slzMOIYV+/1Fa29vq7IrHh4Wuu+REREROT25Sj56tWrV446MxgM2VZClMItc6+vf88mEXX+opKvTH4quiEiIiIi9pOj+WVmszlHf5R4FV2Vyqrc/HV8a1tflXyJiIiIiB1ocY8AqniYLd8a1tfMiociIiIiIrchTwU3kpKS+Ouvv4iMjCQ1NTXLe8OHD7dLYFKwtNdXNlTxUERERETsKNfJ17Zt2+jevTsXL14kKSmJsmXLcvbsWTw8PPDz81PyVURllpvXyNc1fGup4qGIiIiI2EWupx2+8MIL9OzZk/Pnz+Pu7s769es5duwYYWFhTJo0KT9ilAJgG/mK1chXFr6Xi26o4qGIiIiI3KZcJ1/bt2/nP//5D0ajEZPJREpKCkFBQbz77ru88sor+RGjFIDM5Cs6PpnUdLODoylEbBUP9zo2DhEREREp8nKdfDk7O2M0Wi/z8/MjMjISAG9vb6KiouwbnRQY39KuuDoZMVsg+kKyo8MpPGwVD/c7Ng4RERERKfJyvearcePGbNq0idDQUDp06MCYMWM4e/Ys3333HfXq1cuPGKUAGAwGKvq48++ZJI6fv0jlctrrCwDfmtbXzIqH7mUcGY2IiIiIFGG5Hvl6++23CQwMBOCtt97Cx8eHp59+mjNnzvDpp5/aPUApOCq6kQ03L2vFQ9B+XyIiIiJyW3I98tW0aVPbsZ+fHxEREXYNSBxH5eZvILPi4em9ULmlo6MRERERkSIq1yNfR44c4eDBg9edP3jwIEePHrVHTOIg2mj5Bvy07ktEREREbl+uk69Bgwaxdu3a685v2LCBQYMG2SMmcRBNO7yBzHVfqngoIiIiIrch18nXtm3baNOmzXXnW7Zsyfbt2+0RkziIph3eQGbFQ+31JSIiIiK3IdfJl8FgICEh4brzFy5cICMjwy5BiWNor68byBz5SoyGS+cdG4uIiIiIFFm5Tr7at2/PhAkTsiRaGRkZTJgwgbZt29o1OClY2uvrBty8wKuS9VjrvkREREQkj3Jd7fCdd96hffv21KxZk3bt2gGwatUq4uPj+fPPP+0eoBQcg8FAJR93Dmuvr+v51oT446p4KCIiIiJ5luuRrzp16rBz50769evH6dOnSUhI4JFHHmHfvn3aZLkYUNGNG7BVPNS6LxERERHJm1yPfAFUqFCBt99+296xSCGQue4rSkU3svKtZX1V8iUiIiIieZTrka+IiAhWr15t+/qjjz6iUaNGPPjgg5w/r2IERZ1Gvm4gM/lSxUMRERERyaNcJ1+jRo0iPj4egF27djFy5Ei6d+/OkSNHGDlypN0DlIKlcvM3oIqHIiIiInKbcj3t8MiRI9SpUweAn3/+mZ49e/L222+zdetWunfvbvcApWBdSb408pVFZsXD+OPW0a/gVo6OSERERESKmFyPfLm4uHDxonVUZNmyZXTt2hWAsmXL2kbEpOjKnHaovb6y4ad1XyIiIiKSd7lOvtq2bcvIkSN544032LhxIz169ADgwIEDVKpUKdcBfPTRR4SEhODm5kaLFi3YuHHjTdvPnTuXWrVq4ebmRv369Vm0aFGW9y0WC2PGjCEwMBB3d3c6d+7MwYMHr+tn4cKFtGjRAnd3d3x8fOjVq1euYy+Oypd2wdXJiMUCpy5o9CsLFd0QERERkduQ6+Rr2rRpODk58dNPP/HJJ59QsWJFAP744w+6deuWq77mzJnDyJEjGTt2LFu3bqVhw4aEh4dz+vTpbNuvXbuWAQMGMGTIELZt20avXr3o1asX//zzj63Nu+++y9SpU5k+fTobNmygVKlShIeHk5x8ZdPgn3/+mYEDBzJ48GB27NjBmjVrePDBB3P7rSiWMvf6Ak09vI6t6MZex8YhIiIiIkVSrtd8Va5cmd9///268++//36ubz558mSGDh3K4MGDAZg+fToLFy7kq6++4r///e917T/44AO6devGqFGjAHjjjTdYunQp06ZNY/r06VgsFqZMmcJrr73GvffeC8C3336Lv78/8+fPp3///qSnpzNixAgmTpzIkCFDbH1nrmMT69TDzI2W5Sq2vb72OzYOERERESmS8rTPlz2kpqayZcsWRo8ebTtnNBrp3Lkz69aty/aadevWXVdRMTw8nPnz5wPWYiDR0dF07tzZ9r63tzctWrRg3bp19O/fn61bt3LixAmMRiONGzcmOjqaRo0aMXHixJtuEp2SkkJKSort68z1bWlpaaSlpeX689tT5v3tFUcFb1cAjp1NcvhnK1TKVMUZIDGatPgz4F7GoeHY+7lL0aDnXvLomZdMeu4lk5570ZXTZ+aw5Ovs2bNkZGTg7++f5by/vz/79mW/piY6Ojrb9tHR0bb3M8/dqM2///4LwLhx45g8eTIhISG89957dOzYkQMHDlC2bNls7z1hwgTGjx9/3fklS5bg4eFxq49bIJYuXWqXfhJjDICJjbsPsSj1gF36LC66OJfFIy2W9b/NILZ0TUeHA9jvuUvRoude8uiZl0x67iWTnnvRk1mQ8FYclnw5itlsreD36quvct999wEwY8YMKlWqxNy5c3nyySezvW706NFZRt3i4+MJCgqia9eueHl55X/gN5GWlsbSpUvp0qULzs7Ot92fZVc0v0XuhFJl6d69uR0iLD5MF76Bf5fTuroP5iaO3VrB3s9digY995JHz7xk0nMvmfTci66cVn13WPJVvnx5TCYTMTExWc7HxMQQEBCQ7TUBAQE3bZ/5GhMTQ2BgYJY2jRo1ArCdv3qNl6urK1WrViUyMvKG8bq6uuLq6nrdeWdn50Lzj8NesYT4egJwIi650Hy2QsO/Nvy7HFPsIUyF5HtTmP4OSsHRcy959MxLJj33kknPvejJ6fPKdbVDe3FxcSEsLIzly5fbzpnNZpYvX06rVtlvYNuqVass7cE6LJvZvkqVKgQEBGRpEx8fz4YNG2xtwsLCcHV1Zf/+K0UT0tLSOHr0KMHBwXb7fEVZZrVD7fWVDVU8FBEREZE8smvy9dhjj/Hdd9/luP3IkSP5/PPP+eabb9i7dy9PP/00SUlJtuqHjzzySJaCHCNGjCAiIoL33nuPffv2MW7cODZv3sywYcMAa5n0559/njfffJMFCxawa9cuHnnkESpUqGDbx8vLy4unnnqKsWPHsmTJEvbv38/TTz8NQN++fe30nSjaypVywc1Ze31ly1bxUHt9iYiIiEju2HXa4b///suff/7Je++9x/bt22/Z/oEHHuDMmTOMGTPGVnUwIiLCVjAjMjISo/FKfti6dWtmzpzJa6+9xiuvvEJoaCjz58/PUqXwpZdeIikpiSeeeIK4uDjatm1LREQEbm5utjYTJ07EycmJgQMHcunSJVq0aMGff/6Jj4+P/b4ZRZh1ry8PDp1OJCr2EsHlSjk6pMLD93KRjcQYuBgLHtkXaBERERERuZZdk6+VK1cCsGfPnhxfM2zYMNvI1Y36u1rfvn1vOkJlMBh4/fXXef3112/YxtnZmUmTJjFp0qQcx1nSVPJx59DpRO31dS1XT/CqBPHHrft9BWc/RVZERERE5Fr5suZLGxYXfZnrvo6f17TD6/hdXvd1Ruu+RERERCTncpx8PfPMMyQmJtq+njVrFklJSbav4+Li6N7dsaW3xX4q+Vj3LtPIVzZsRTe07ktEREREci7Hydenn36aZfOwJ598MkvZ95SUFBYvXmzf6MRhNPJ1Eyq6ISIiIiJ5kOPky2Kx3PRrKV6ujHwp+bpO5siXki8RERERyQWH7fMlhVvmyFdMQjIp6RkOjqaQubbioYiIiIhIDij5kmxl2esrLtnR4RQurp7gHWQ91uiXiIiIiORQrkrNjxkzBg8P63S01NRU3nrrLby9vQGyrAeTou/qvb6On79ESHnt9ZWFb024EGVNvoJbOzoaERERESkCcpx8tW/fnv3799u+bt26Nf/+++91baT40F5fN+FbCw4tU8VDEREREcmxHCdf2W14LMVbkIpu3Jit4qH2+hIRERGRnLntNV/p6elZ9v+S4uNKuXmNfF3HNzP52n/zdiIiIiIil+U4+frtt9/4+uuvs5x76623KF26NGXKlKFr166cP3/e3vGJA6nc/E341rC+quKhiIiIiORQjpOvyZMnk5SUZPt67dq1jBkzhv/7v//jxx9/JCoqijfeeCNfghTHyBz5itLI1/VU8VBEREREcinHydfu3btp3fpKVbeffvqJLl268Oqrr9KnTx/ee+89fvvtt3wJUhzDttdXfIr2+spO5mbLp7XuS0RERERuLcfJV0JCAuXKlbN9vXr1au68807b13Xr1uXkyZP2jU4cqmwpF9ydTQCc1F5f18vcbFnrvkREREQkB3KcfFWsWJG9e62/4U9MTGTHjh1ZRsLOnTtn2wNMigfrXl8qunFDqngoIiIiIrmQ4+Srb9++PP/883z33XcMHTqUgIAAWrZsaXt/8+bN1KxZM1+CFMe5knyp6MZ1Miseaq8vEREREcmBHO/zNWbMGE6cOMHw4cMJCAjg+++/x2Qy2d6fNWsWPXv2zJcgxXGuVDzUyNd1MiseJp22Vjz0KOvYeERERESkUMtx8uXu7s633357w/dXrFhhl4CkcNHI101kVjy8EGWteBjc+tbXiIiIiEiJddubLEvxpr2+bkEVD0VEREQkh3I88tWpU6cctfvzzz/zHIwUPiq4cQt+teDQUu31JSIiIiK3lOPka+XKlQQHB9OjRw+cnZ3zMyYpRK7d68vVyXSLK0qYzJEvJV8iIiIicgs5Tr7eeecdZsyYwdy5c3nooYd47LHHqFevXn7GJoVA5l5fl9IyOBmXTJXypRwdUuGiiociIiIikkM5XvM1atQo9uzZw/z580lISKBNmzY0b96c6dOnEx8fn58xigMZDAaCymrq4Q1lbrScWfFQREREROQGcl1wo1WrVnz++eecOnWKZ599lq+++ooKFSooASvGVHTjJlxLg3dl67GKboiIiIjITeS52uHWrVv566+/2Lt3L/Xq1dM6sGIsc91XVKxGvrKVOfqldV8iIiIichO5Sr5OnjzJ22+/TY0aNbj//vspW7YsGzZsYP369bi7u+dXjOJg2uvrFvxUdENEREREbi3HBTe6d+/OihUr6Nq1KxMnTqRHjx44OeX4cinCrkw71MhXtmxFNzTtUERERERuLMfZU0REBIGBgURGRjJ+/HjGjx+fbbutW7faLTgpHDTydQu2cvP7HRuHiIiIiBRqOU6+xo4dm59xSCGWOfJ1OiGF5LQM3Jy111cW11Y89Cjr2HhEREREpFBS8iW35OPhjIeLiYupGWw6Gku7UF9Hh1S4ZFY8vBBpnXoY0sbREYmIiIhIIZTnaodSchgMBtqFlgdg6LebWbI72sERFUK2ohta9yUiIiIi2ctR8tWtWzfWr19/y3YJCQm88847fPTRR7cdmBQuk/s14o6aviSnmXny+y18s/aoo0MqXGzl5rXuS0RERESyl6Nph3379uW+++7D29ubnj170rRpUypUqICbmxvnz59nz549rF69mkWLFtGjRw8mTpyY33FLASvl6sTnjzTl/379h1kboxi7YDcn4i7x3261MBoNjg7P8VTxUERERERuIUfJ15AhQ3j44YeZO3cuc+bM4bPPPuPChQuAdUpanTp1CA8PZ9OmTdSuXTtfAxbHcTIZebt3fSr5eDBx8X4++/tfTsZdYlLfhirCob2+REREROQWclxww9XVlYcffpiHH34YgAsXLnDp0iXKlSuHs7NzvgUohYvBYODZO6pToYwbL/20k993nuJ0fAqfPRJGGQ8XR4fnOOUzKx6egaRzUKqcY+MRERERkUInzwU3vL29CQgIUOJVQvVuXIlvBjfH09WJjUdjue+TtUTFluBNmDMrHoJGv0REREQkW6p2KHnWunp5fnq6NYHebhw+k0Tvj9ey6/gFR4flOKp4KCIiIiI3oeRLbkvNAE9+eaYNtQI8OZuYwgOfrWPFvtOODssxfC8nX6c18iUiIiIi11PyJbctwNuNuU+1ol1oeS6mZvD4t5uZtTHS0WEVPF8V3RARERGRG1PyJXbh6ebMV4OacX9YJTLMFkbP28WkxfuxWCyODq3gqOKhiIiIiNxErpOvqKgojh8/bvt648aNPP/883z22Wd2DUyKHmeTkYn3N2DEnaEATFtxiJE/7iA13ezgyArItRUPRURERESukuvk68EHH2TFihUAREdH06VLFzZu3Mirr77K66+/bvcApWgxGAy80KUG797XAJPRwC/bTjBoxkbik9McHVr+y1LxUEU3RERERCSrXCdf//zzD82bNwfgxx9/pF69eqxdu5YffviBr7/+2t7xSRHVr1kQXw1qRikXE2sPn6PvJ+s4GXfJ0WHlP009FBEREZEbyHXylZaWhqurKwDLli3jnnvuAaBWrVqcOnXKvtFJkdahhi9znmyFn6cr+2MS6P3xGvacjHd0WPlLFQ9FRERE5AZynXzVrVuX6dOns2rVKpYuXUq3bt0AOHnyJOXKlbN7gFK01avozS/PtqGGf2li4lPo9+k6Vh084+iw8o9fbeurRr5ERERE5Bq5Tr7eeecdPv30Uzp27MiAAQNo2LAhAAsWLLBNRxS5WsUy7sx9qjUtq5YlMSWdwTM2MXdzlKPDyh++l4tuKPkSERERkWs45faCjh07cvbsWeLj4/Hx8bGdf+KJJ/Dw8LBrcFJ8eLs7881jzXnpp538uv0ko37aycm4ZIbfWR2DweDo8Ozn2oqHpTQaLCIiIiJWuR75unTpEikpKbbE69ixY0yZMoX9+/fj5+dn9wCl+HB1MvF+v0Y807EaAO8vO8DLP+8kLaMYlaJ3LQ1lVPFQRERERK6X6+Tr3nvv5dtvvwUgLi6OFi1a8N5779GrVy8++eQTuwcoxYvRaOClbrV4s1c9jAb4cfNxhnyzmcSUdEeHZj+2ohtKvkRERETkilwnX1u3bqVdu3YA/PTTT/j7+3Ps2DG+/fZbpk6davcApXh6uGUwnz/SFHdnE38fOEO/6euIiU92dFj24aty8yIiIiJyvVwnXxcvXsTT0xOAJUuW0KdPH4xGIy1btuTYsWN2D1CKrztr+zP7iZaUL+3CnlPx9Pl4LQdiEhwd1u0LtBahYX8EZJSAzaVFREREJEdynXxVr16d+fPnExUVxeLFi+natSsAp0+fxsvLy+4BSvHWMKgM855uQ9XypTgRd4n7PlnL7pMXHB3W7al1N5TyhfjjsPsXR0cjIiIiIoVErpOvMWPG8OKLLxISEkLz5s1p1aoVYB0Fa9y4sd0DlOKvcjkPfn66NWHBPiQkpzNs5raivQbM2Q2aP2k9XjMVLBbHxiMiIiIihUKuk6/777+fyMhINm/ezOLFi23n77zzTt5//327Biclh08pF754pCmB3m4cOZvEq7/swlKUk5ZmQ8DZA2J2wb8rHB2NiIiIiBQCuU6+AAICAmjcuDEnT57k+PHjADRv3pxatWrZNTgpWXxKuTB1QGNMRgO/bj/J3M3HHR1S3nmUhSaPWI/XfODYWERERESkUMh18mU2m3n99dfx9vYmODiY4OBgypQpwxtvvIHZXIz2axKHaBZSlpFdagAwZsE/RbsAR8tnwGCCf1fCqR2OjkZEREREHCzXyderr77KtGnT+N///se2bdvYtm0bb7/9Nh9++CH/93//lx8xSgnzdIdqtAstT3KamWEzt3IpNcPRIeWNTzDU7WU9XvuhQ0MREREREcfLdfL1zTff8MUXX/D000/ToEEDGjRowDPPPMPnn3/O119/nQ8hSkljNBqY3K8Rvp6uHIhJZPxvux0dUt61Hm59/WcexEU6NhYRERERcahcJ1+xsbHZru2qVasWsbGxdglKxNfTlSkPNMJggNmbovh1+wlHh5Q3FRpBlQ5gyYD1nzg6GhERERFxoFwnXw0bNmTatGnXnZ82bRoNGza0S1AiAG2ql+e5O6oD8Mq8XRw5m+TgiPKozeXRry3fwKXzjo1FRERERBzGKbcXvPvuu/To0YNly5bZ9vhat24dUVFRLFq0yO4BSsk2/M5Q1h+JZeORWIbN3Mq8Z1rj6mRydFi5U+1O8K8HMf/Api+h/YuOjkhEREREHCDXI18dOnTgwIED9O7dm7i4OOLi4ujTpw/79++nXbt2+RGjlGBOJiNT+zfGx8OZ3SfjmbBon6NDyj2DAVo/Zz3e8CmkJTs2HhERERFxiDzt81WhQgXeeustfv75Z37++WfefPNNzGYzTzzxhL3jEyHA243J/RoB8PXao0T8E+3YgPKi3n3gVRGSTsPOOY6ORkREREQcIE/JV3bOnTvHl19+aa/uRLK4o5YfT7SvCsBLP+0gKvaigyPKJZOzdd8vsJad1554IiIiIiWO3ZIvkfz2YteaNAoqQ3xyOsNnbyMto4glMGGPgqs3nDsIByIcHY2IiIiIFDAlX1JkuDgZ+XBAYzzdnNgWGcekJfsdHVLuuHpC08HW47VTHRuLiIiIiBQ4JV9SpASV9WDi/Q0A+PSvf1mx/7SDI8qlFk+B0Rki10HURkdHIyIiIiIFKMel5vv06XPT9+Pi4m43FpEc6VYvkEdbBfPNumP858cdLBrejgBvN0eHlTNegdDgAdj+Paz5APr/4OiIRERERKSA5Hjky9vb+6Z/goODeeSRR/IzVhGb0d1rU7eCF7FJqQyfvY30orT+K7Ps/L6FcPaQY2MRERERkQKT4+RrxowZOfqTFx999BEhISG4ubnRokULNm68+XSsuXPnUqtWLdzc3Khfv/51mztbLBbGjBlDYGAg7u7udO7cmYMHD2bbV0pKCo0aNcJgMLB9+/Y8xS8Fz83ZxLQHm1DKxcTGI7FM/bMIJTF+taBGN8AC66Y5OhoRERERKSAOX/M1Z84cRo4cydixY9m6dSsNGzYkPDyc06ezX8uzdu1aBgwYwJAhQ9i2bRu9evWiV69e/PPPP7Y27777LlOnTmX69Ols2LCBUqVKER4eTnLy9ZvbvvTSS1SoUCHfPp/knyrlS/F2n/oAfPjnQdYeOuvgiHKh9XDr6/aZkFjE1q2JiIiISJ44PPmaPHkyQ4cOZfDgwdSpU4fp06fj4eHBV199lW37Dz74gG7dujFq1Chq167NG2+8QZMmTZg2zTqCYLFYmDJlCq+99hr33nsvDRo04Ntvv+XkyZPMnz8/S19//PEHS5YsYdKkSfn9MSWf3NuoIg80DcJigRFztnM2McXRIeVMcGuoGAYZKbDxM0dHIyIiIiIFIMcFN/JDamoqW7ZsYfTo0bZzRqORzp07s27dumyvWbduHSNHjsxyLjw83JZYHTlyhOjoaDp37mx739vbmxYtWrBu3Tr69+8PQExMDEOHDmX+/Pl4eHjcMtaUlBRSUq78YB8fHw9AWloaaWlpOfvA+STz/o6Ow1FevasGW47FcuhMEs/P3saXA5tgNBocHdYtGVo8i9O8x7Bs+oL0FsPApVSuri/pz71EspjJ2L8Y5/REPfcSRP/WSyY995JJz73oyukzc2jydfbsWTIyMvD3989y3t/fn3379mV7TXR0dLbto6Ojbe9nnrtRG4vFwqBBg3jqqado2rQpR48evWWsEyZMYPz48dedX7JkSY6St4KwdOlSR4fgMPdXgPfOmVh96Bz/+TKCLhUtjg7p1ixG7nTxo/Sl0+yd9SpHfLvmqZuS/NxLmtonf6RGzO/U92nF0qWlHR2OFDD9Wy+Z9NxLJj33oufixYs5aufQ5MtRPvzwQxISErKMuN3K6NGjs4y4xcfHExQURNeuXfHy8sqPMHMsLS2NpUuX0qVLF5ydnR0aiyN5VTnBK/N388dxJx7u2pSwYB9Hh3RLxoDTEPES9RP+pvbASWDM+T9JPfeSxXByG6btfwAQcGEbXTp1wNktd6OlUjTp33rJpOdeMum5F12Zs+JuxaHJV/ny5TGZTMTExGQ5HxMTQ0BAQLbXBAQE3LR95mtMTAyBgYFZ2jRq1AiAP//8k3Xr1uHq6pqln6ZNm/LQQw/xzTffXHdfV1fX69oDODs7F5p/HIUpFkcY0CKYjUfPM3/7SUbO3cWiEe0o4+Hi6LBuLuwR+PsdDBcicT64COrdl+suSvpzLxHSU2Hh82DJAMDZnIzh1Bacatzp2LikQOnfesmk514y6bkXPTl9Xg4tuOHi4kJYWBjLly+3nTObzSxfvpxWrVple02rVq2ytAfr0Gxm+ypVqhAQEJClTXx8PBs2bLC1mTp1Kjt27GD79u1s377dVqp+zpw5vPXWW3b9jFJwDAYDb/auT5XypTh5IZkX5+7EYink0w+d3aH5E9bjNVOhsMcrjrF6MpzeDR7lMIeGA2A4tNjBQYmIiEhuObza4ciRI/n888/55ptv2Lt3L08//TRJSUkMHjwYgEceeSTL9MARI0YQERHBe++9x759+xg3bhybN29m2LBhgPUH8Oeff54333yTBQsWsGvXLh555BEqVKhAr169AKhcuTL16tWz/alRowYA1apVo1KlSgX7DRC7Ku3qxIcDGuNiMrJsbwwz1hx1dEi31mwoOLnDqe1w5G9HRyOFTfQ/8PdE63H3iZgbDADAeEjrAURERIoahydfDzzwAJMmTWLMmDE0atSI7du3ExERYSuYERkZyalTp2ztW7duzcyZM/nss89o2LAhP/30E/Pnz6devXq2Ni+99BLPPfccTzzxBM2aNSMxMZGIiAjc3NwK/PNJwatX0ZvX7q4NwIQ/9rLzeJxjA7qVUuWg8cPW47VTHRuLFC4Z6fDrs2BOh1p3Q90+WKp0wGwwYYj9F84Woc3FRUREpHAU3Bg2bJht5OpaK1euvO5c37596du37w37MxgMvP7667z++us5un9ISEjhn54muTKwZTBrD50jYnc0w2Zu4/fhbfFyK8Rzp1s9C5u/hEPLIGY3+Nd1dERSGKz70Doi6uYNPd4DgwFcPTlbuhZ+CbvhQASUz/6/nSIiIlL4OHzkSyQ/GAwG3rm/AZV83ImMvcjoebsKd4JdtgrUvsd6vPZDx8YihcOZA7BigvW42//A80oRohivhtaDg1r3JSIiUpQo+ZJiy9vdmQ8HNMbJaGDhzlPM2hjl6JBurs1w6+uuuXDhhGNjEccyZ1inG2akQPXO0HBAlrdjvBtbD46theQLDghQRERE8kLJlxRrjSv78FK3mgCM/203e0/lbA8Gh6gYBsFtret71n/s6GjEkTZ+Bsc3gosn3D3FOt3wKkmu/ljKVrP+XTm8wjExioiISK4p+ZJi7/G2Vbmjpi8p6WaGzdxKUkq6o0O6sTYjrK9bvtGIRkkV+y8sG2897vo6lAnKtpk5tKv14ICmHoqIiBQVSr6k2DMaDbzXrxH+Xq4cPpPEmF93OzqkGwvtAr61ITUBNs9wdDRS0MxmWDAc0i9BSDtoMuiGTS3Vu1gPDi6xXiciIiKFnpIvKRHKlnJhav/GGA3w89bjjJ63k+gLyY4O63oGA7R+znq8YTqkpzo2HilYW2bA0VXg7AH3fAjGG/8n2hLUEly94OJZOLm1AIMUERGRvFLyJSVGi6rlGBVeC4BZG6PoMHEFb/6+h7OJKQ6O7Br1+4JnICScshbfkJIhLgqWjrEe3znWWgHzZkwuUK2T9VhTD0VERIoEJV9SojzdsRqzn2hJsxAfUtLNfLH6CO3fXcHExfu4cDHN0eFZOblAi6esx2s/1JSyksBigd9GQGoiBLWE5k/k7Loa4dbXAxH5F5uIiIjYjZIvKXFaVi3Hj0+24tvHmtOwkjcXUzP4aMVh2r77J1OXHyQhuRAkYU0HWyvdndkLh5Y6OhrJb9tnwuHlYHKFe6fddLphFtW7AAaI3gnxJ/M1RBEREbl9Sr6kRDIYDLSv4cv8Z9vw2cAwagV4kpCczuSlB2j/7go+/eswl1IzHBegmzc0HWQ9XjPVcXFI/os/BYtHW4/veAXKh+b82tK+1i0KwFp4Q0RERAo1JV9SohkMBrrWDWDR8HZ8OKAxVX1Lcf5iGhP+2Ef7iSv4Zu1RUtIdlIS1eBqMTnBsNZzY4pgYJH9ZLLBwpHVbgQqNodWw3PdRo5v1Veu+RERECj0lXyJYy9H3bFiBJc+3Z1LfhlTycedMQgpjF+zmjokrmb0xkrSMAl575V3RWnwDNPpVXP3zM+xfBEZnuPcjMDnlvo8al/f7+nclpBXCCp4iIiJio+RL5CpOJiP3h1Xiz/905K3e9QjwcuPkhWT+O28XnSf/xS/bjpNhthRcQJll5/cusG6+K8VH0ln44yXrcftR4F83b/0ENLBWx0y7CEdX2y8+ERERsTslXyLZcHEy8lCLYFaO6sj/3V2H8qVdOHbuIi/M2UH4lL9ZtOsU5oJIwvzrWosqWMyw7qP8v58UnEWj4OI58K8HbV/Iez8GA4ReHv06qKmHIiIihZmSL5GbcHM2MaRtFf4adQcvdauJt7szh04n8swPW+k5bTV/7ovBYsnnJKzNcOvrth8g6Vz+3ksKxt7fYPc8MJis1Q2dXG6vP9u6rwjrOjIREREplJR8ieRAKVcnnulYnVUv38GIO0Mp7erE7pPxPPb1Zvp8spY1h87mXxIW0g4CG0H6Jdj0ef7cQwrOxVj4faT1uM0Ia6GN21W1g7VMfVwknNl/+/2JiIhIvlDyJZILXm7OvNClBqteuoOnOlTDzdnItsg4HvpiAwM+X8/mo7H2v6nBcGX0a+NnkHrR/veQgrP4FUg6DeVrQoeX7dOnSymo0s56rA2XRURECi0lXyJ54FPKhf/eVYu/X7qDQa1DcDEZWf9vLPdPX8ejX21k5/E4+96w9r1QJti6RmjHTPv2LQXnwBLYMQswWKsbOrvZr+/MqYfa70tERKTQUvIlchv8PN0Yd09dVo7qyIDmlXEyGvjrwBnumbaGwTM2su7wOftMRzQ5XdkDau00MDtwA2jJm+QL8Pvz1uNWz0JQM/v2n1l0I3I9XDpv375FRETELpR8idhBhTLuTOhTn+X/6UCfJhUxGmDF/jMM+Hw99360ht93niT9dvcJa/wQuPvA+SPWgg1StCwdA/EnwKcK3PGq/fv3CQbf2mDJgEPL7d+/iIiI3DYlXyJ2FFyuFJP7NeLP/3Tk4ZaVcXUysvP4BYbN3MYd763km7VHuZianrfOXUpBs6HW47VTVdWuKPl3JWz52np87zRw8cif+2RuuHxAJedFREQKIyVfIvkgpHwp3uxVn7X/7cSIO0Px8XAmKvYSYxfspvX//uS9Jfs5m5iS+46bPwFObnBiC4aodfYPXOwvJREWXC6Y0uxxCGmbf/fKXPd1aKmmpoqIiBRCSr5E8lG50q680KUGa/97J2/cW5fKZT2Iu5jGh38eovX//mT0vF38eyYx5x2W9oVGDwJgXDctn6IWu/rzDYg7Bt5B0Hlc/t6rUnNwK2Nd83V8U/7eS0RERHJNyZdIAXB3MTGwVQgrXuzIxw81oWFQGVLTzczaGMmdk//iiW83s+VYDsvUtxoGGDAeWoLnpRP5GrfcpmPrYMOn1uOeH4CrZ/7ez+QE1Ttbj1VyXkREpNBR8iVSgExGA93rBzL/mdbMeaIld9byw2KBJXtiuO+Tddz3yVoW747GbL7Jeq5y1aD23QBUP72wgCKXXEu7BAuGARZo/DBUv7Ng7ps59fCASs6LiIgUNkq+RBzAYDDQomo5vhzUjKUvtKdf00q4mIxsOXaeJ7/bQufJfzFzQyTJaTdYt9PmeQAqx67GcGxNwQUuObdyApw7BKUDoOtbBXff6neCwQind0NcVMHdV0RERG5JyZeIg4X6e/Lu/Q1Z/fIdPN2xGp5uTvx7NolXftlF23f+5MPlBzmflJr1okpNMTcaCIDp9+HWog5SeJzYAms/tB73nALuZQru3h5lIaiF9figqh6KiIgUJkq+RAoJPy83Xu5Wi3Wj7+T/7q5DxTLunE1M5b2lB2j9vz8Zt2A3UbEXbe0zOr/ORZfyGOKOWfeQksIhPQXmPwsWM9TvBzXvKvgYQlVyXkREpDBS8iVSyJR2dWJI2yqsHNWRD/o3ok6gF5fSMvh67VE6TFzBsJlb2Xk8Dlw92Vb5cetFm7+EwyscGrdc9vckOLMXSvnCXe84JobMdV9H/obUizdvKyIiIgVGyZdIIeVsMnJvo4osHN6W74e0oF1oecwW+H3nKe6ZtoaHv9rEz4l1OVp1AAAZ85/FfDHOsUGXdKd2wurJ1uPuk6xTAB3Br7a1tH16sjUBExERkULBydEBiMjNGQwG2oaWp21oefacjOfzVf/y246TbDhyHjDxB134w+VPQhJOMPd/jzK19AgCvdwJLONGoLc7gd5ul/9Yz5Ur5YLBYHD0xyp+MtLg12fBnA6174G6vRwXi8EANcJh0xfWdV81uzkuFhEREbFR8iVShNSp4MX7DzRiVHhNvl93lNW7DoGHH2+fH8b09DH0Na5kYVwzVsY2vmEfLiYjAbaEzI3AMu5U8HYj4KpErawStNxb9R5E7wR3H+uol6OFXk6+DiwGi8WakImIiIhDKfkSKYIqlHHnhc7VqZl6gO7dW+Ls3I6MP07Bho/5rMy3LL/jPiIvunDqQjKnLly6/JrMmYQUUjPMRMZeJDL2xmuBXJ2MBHq7EeDtRvMq5XiyfVVKueo/Fzd05G/46/L6rrveBU9/x8YDUKUdOLlD/AmI+QcC6js6IhERkRJPP02JFBOmzmPg0FJczh3krqj3oc9n17VJTTcTE5+cNSmLu5KcnbpwibOJqaSkmzl67iJHz11k/b+xzN0cxdiedQivG6ARsWslnoafH7dWN2z0MDTo5+iIrJzdoWoHOBBhHf1S8iUiIuJwSr5Eigtnd+g9Hb7sAjvnWNcd1b47SxMXJyNBZT0IKutxw25S0jOIuZDCqQuXOHI2iY9WHiIq9hJPfb+VjjV9GX9PXYLLlcrvT1M0mDNg3lBIjAHf2tB9oqMjyqpG+JXkq/2Ljo5GRESkxFO1Q5HipFJTaDPCevz785B0LtdduDqZqFzOgxZVy9G/eWWWvtCB4Z2q42IysnL/Gbq8/zcfLDtIclqGfWMvila9B/+uBGcP6Ps1uNw4qXWI0HDr6/FNefq7ICIiIval5EukuOk42joKk3QGFv3ntrtzczYxsmtNIp5vR9vq5UlNN/P+sgN0m/I3fx84Y4eAi6gjq2DlBOtxj8ngVyvfb5mclsGGI7HEpeTwAu+K4F8fsMChpfkZmoiIiOSAki+R4sbJFXp/AgYT7P4F/plnl26r+pbmuyHN+XBAY/w8XTl67iKPfLWRZ3/YSvSFZLvcIz+kpGfw6/YTTF56gB1RcVgsltvvNPE0/DzkyjqvRgNuv8+biIq9yP/+2Efr//3Jw19tZuxWJ+6bvp6PVhzi0OmEm3+mGpdHvw4sztcYRURE5Na05kukOKrQ2LrG5693YOF/IKQtlPa77W4NBgM9G1agY01f3l96kK/XHmHhrlOs3H+aF7rU4NHWITibCsfvdI6dS2Lmxkjmbj5ObFIqAFOXH6RWgCcPNAuiV6OK+JRyyX3HBbTOy2y2sOrQWb5bd5Tl+06TmV+VcXfmwqVUdp6IZ+eJeCYu3k/V8qXoWjeArnX9aVSpDEbjVUVRaoTDqklwaLl1LzKTc77EKyIiIrem5EukuGr3IuxfBNG74Lfnof8PdtvrydPNmTE963BfWEX+b/4/bI2M482Fe/lpy3He7FWPpiFl7XKf3ErPMLNs72l+2HCMVQfP2s4HertRv6I3Kw+cYV90AuN/28OERfvoWtef/s0q07pauawJy82smpyv67wuXExj7pYovl9/jKPnrmwH0LZ6eR5uGUyH6j789FsEhkoNWLbvDGsPnePfs0lM/+sw0/86jJ+nK13q+BNeN4CWVcvhUjEMPMrBxXMQtcGaiIuIiIhDKPkSKa6cXKDXdPisI+xfCDt/hIYP2PUWdSt489NTrZm7JYoJf+xjX3QC909fR9+wSozuXpuyeRlZyoNTFy4xe2MUszdFEhNvXRBlMED7UF8ebhnMHTV9cTIZuXAxjV93nGD2xij2nIrn952n+H3nKSr5uNOvaRD3h1WiQhn3G9/oyCpY+bb1uMd7dl3n9c+JC3y37hi/7jhBcpoZAE9XJ+4Lq8TDLYOp7lcagLS0NLxcoHvTSjzcqgoJyWms3H+GJXtiWLHvNKcTUvhhQyQ/bIjE082JTrX8GFW+LZUif7VWPlTyJSIi+chisTBl2UHmbTvOO30a0Lp6eUeHVKgo+RIpzgLqQceX4c834Y9R1o13vSrY9RZGo4EHmlWmS50A3o3Yx+xNUczdcpyle2N4uVstHmgalPNRpVzInJb3w/pjLN93mgyzdV5euVIu9GsWxIBmlalcLuuolLeHM4+0CuGRViH8c+ICszdF8uv2kxw/f4nJSw/w/rIDtA/1pX+zIO6s7Y+L01VTKLOs83oIGj14258hJT2DP3ZF8+26o2yNjLOdrxXgycBWwfRqVPGWm1t7ujnTs2EFejasQEp6BusOn2Px7hiW7onhbGIKv24/SboxmI9c4OSmX1nl8wR31vanfGnX245fRETkahaLhbcW7uWL1UcAeG7WNv4Y0Q4/LzcHR1Z4KPkSKe7avAD7FsLJbbBgODw0127TD69WtpQL/7uvAX2bBvHa/H/Yeyqe0fN2MWdTFG/2qke9it52uc+5xBTmbjnOzA2RRMZemZbXokpZHmoZTHhdf1ydTLfsp15Fb96sWJ9Xu9chYvcp5myKYv2/sfx14Ax/HThDuVIu9GlSkQeaBVG9vMdV67xq3fY6rxNxl5i54RizN0Zx7vJ6NCejgbvqBzKwZTDNQnzytJm1q5OJjjX96FjTj7d61WNb1HmW7I5hzT9m0pOMVEiL5KN5yxiNP02Dy9K1rj9d6wRcl6SKiIjklsVi4fXf9zBjzVEA/L1ciYlP4YUft/PtYy0w5cMvYosiJV8ixZ3JyTr98NP21nLj276HJgPz7XZhwT78NqwN3647xuSlB9geFcc901bzSKsQRnatgZdb7gs+WCwWNh09z/frjxHxTzSpGZen5bk5cV+TSjzcsjLV/TzzFK+7i4nejSvRu3Eljp5N4sfNUfy05TinE1L4fNURPl91hLfL/cGDSSuxOHtg6PsNuOR+k2mz2cKaw2f5dt0xlu+N4fJAHQFebjzYojL9mwfh52m/3wwajQbCgssSFlwWy121uPR5C5xOruNhn328HevPxqOxbDway5sL91IrwJPwywU76gR65SnxExGRkstisTD+tz18vfYoAG/3rk/zKmXp+eFq1hw6x/S/DvPsHdUdG2QhoeRLpCTwqwWdXoWlYyBiNFTtCGWC8u12TiYjj7WtQo8Ggby5cC+/7TjJ12uPsnDXKV7rUZt7GlbI0Q/48clpzNtynB82RHLwdKLtfMOgMjzUojI9G1TA3eXWo1w5FVK+FC91q8XILjVYuf8MczZHkbh/JQ8kfg8GeDVlEBl/p/JA8/M0DiqTo89w4VIaP285zvfrj/Hv2STb+VZVy/FIq2A61/HP9wqRBoMBj3o94OQ6ngg8SI8nxrNkdzRLdsew8Wgs+6IT2BedwAfLD1LJx52udQLo1bgCDSqVyde4RESk6DObLYxdsJvv1h/DYID/9anPA80qA/D6vXUZ9dNOJi89QIsqZR1WkKswUfIlUlK0Gmadfhi1ARYMg4Hz82X64dX8vdz4cEBjHmgaxJhf/+Hfs0mMmL2dOZuieP3eerYiEtfaeTyOH9ZHsmDHSS6lZQDg7myiV+MKPNg8mPqV7DOF8UacTEY61/Gnc2UjGZ98hinJwh9OnZiZ2BY2RzFncxShfqV5oFkQfZpUyrawyJ6T8Xy3/hjzt52wfYbSrk7c16QiA1sF53mkLs9Cw2HJa3B0NRXdMxjcpgqD21ThfFIqy/edZsnuaP4+eIbj5y/x1ZojfLXmCGHBPgxuE0K3ugE4FZItBERuKiMd1kwBzwBo/LCjoxEp9sxmC6/9+g8zN0RiMMC7l5cfZLo/rBJrDp1l/vaTjJi9nYXD21LGo2CKcRVWSr5ESgqjCe79GKa3tZZK3/wlNHu8QG7dNrQ8fzzfjs///pcP/zzE2sPnuOuDv3mifVWG3RGKu4uJi6np/LbjJN+vj2TXiQu2a2v4l+bhlsH0alwxT1MW88xshnlDMSVZ13l1e/w75pxIYc7mKBbtOsXB04m8uXAv70Tso0sdfx5oVpkWVcqyeHc03607xuZj57N8hoGtQujduCKlb1FAI9+UDwWfKnD+iPX5174bAJ9SLtwfVon7wypxKTWDvw+eYeHOU/zxzym2HDvPlmPnCfR2Y2CrYAY0q5y3vdFECoLFAhEvw6YvrF+XDoDQzo6NSaQYM5stvPLLLmZvisJggEn3N+S+sEpZ2hgMBt7sXZ/tUXEcPXeRl3/eyfSHw0r09HYlXyIlSfnq0HksRPwXloyBandC2SoFcmtXJxPDOoVyb6OKjF2wmz/3neajFYeZv+0k7WuU5/cdp0hISQfAxWSke/0AHm4ZTFhw3opP3LbV78G/K8DJHfp+jcG1NC2qlqZF1XKMu6cuC7af5MfNUew8foFFu6JZtCsaJ6OB9MuLuZyMBsLrBjCwVTAtqpR1/P9oDAbrhssbpltLzl9Ovq7m7mIivG4A4XUDOB1fm+/XH+OHDZGcupDMuxH7mbr8IL0bV2JwmxBq+BfwyJ3Iraz/5EriBbDgOXhmHbiXcVhIYmWxWBz/30CxK7PZwn/n7eTHzccxGmByv0b0alwx27alXZ2Y9mATen+8hsW7Y/h+/TEGtgop2IALEc0jESlpmj8JwW0hLQl+HWYd4SlAQWU9+PLRpnw2MIyKZdw5EXeJWRujSEhJJ7icB690r8X6V+5kSv/GNA1xUNJydDWsuHo/r9pZ3vZyc+bhlsEsGNaWRcPbMah1CN7uzqSbLfh5uvJ851DW/LcTHz3UhJZVyxWeHzpqhFtfDy695XP383JjZNearPlvJybe34A6gV4kp5mZtTGSru//zcNfbLAWDsmsHCLiSPsWwuJXrMd3vAplq0HCSVj8qmPjKuHOJ6Uy/rfdNBy/hLG//kPy5SnYUrRlmC289POVxOv9B26ceGWqV9Gb0XdZ/1/6xsK97DkZXxChFkoa+RIpaYxGuHcafNIGjq2GjZ9Cy6cLNASDwUDXugG0DS3P9JWHORZ7kfvDKtGmWvl82RMsVxLPwE+X9/Nq+CA0fuimzetU8GLcPXX57121OHI2iep+pfO9gEaeBbcB51KQGA3RO6BC41te4uZsou/lDag3HollxpqjLNkTzepDZ1l96Cwh5Tx4tHUIfZsGOW5KpZRsJ7bCz48DFggbDO1HQZX28FU32P491LkXanR1dJQlSkp6Bt+sPcqHfx4iIdk6o+GbdcfYePQ8Hz3YmKq+2a/3lcIvw2xh1NwdzNt2ApPRwAf9G3F3g5ztHzq4TQhrDp1l+b7TDJu1ld+fa4uHS8n7/0Yh/QlBRPJV2SrQ9Q3r8bLxcPaQQ8LwcHFiZNeafNC/Me1CfR2feF1e50ViNJSvCT0m5fhSN2cTtQO9Cm/iBeDkCtXusB4fWJKrSw0GAy2qlmP6wDD+GnUHT7SvipebE0fPXWT8b3to+fZyxv+2m2Pnkm7dmYi9xEXCrP6QdtE6jbr7JOsU28otoeUz1ja/DYdL52/ej9iFxWLhtx0nufO9v3h70T4SktOpFeDJmLvrUK6UC3tPxXP3h6uZt/W4o0OVPEjPMPOfH7czb9sJnIwGPhzQOMeJF1j/PzKxb0MCvNz490wSY3/dnY/RFl6F+KcEEclXTR+zlpxPvwTznwazpoNkWefVL2/7eRV6mVMPD0TkuYugsh680r0260bfyRu96lHNtxSJKenMWHOUjpNW8vg3m1l76CwWi6YkSj5KvgAzH7Bufu5XF/p+bd3XMFOn1y5PPzwFEa84LMySYtPRWHp/vJbnZm3j+PlL+Hu5MvH+Biwc3o7H2lZh0Yh2tKxaloupGYz8cQcvzt3BxdR0R4ctOZSeYeaFH3cwf/tJnIwGpj3YhO71A3PdT9lSLkzp3wijAeZuOc78bSfyIdrCTcmXSEllMMA908DVC45vhHXTHB2RY91inVexEXp5+tXJrZB4+ra6KuXqxMCWwSx9oQNfD25Ghxq+WCywbG8MD36xgbs+WMXsjZFa5yH2l5EGPz4Kp/dYqxo+9CO4eWVt4+IBvT4BDLBjJhxY7JBQi7sjZ5N46rst9J2+ju1RcXi4mBjZpQYrXuxI36ZBmC7PaPD3cuOHx1vyQucaGA3w05bj9PxwNXtPldy1P0VFWoaZEXO289uOkzibDHz8UBO61QvIc38tq5Zj+J2hALz6yy6OnC1ZMyaUfImUZGWCIPxywvHnW3B6n2PjcZRcrvMq0jwDrqz1Opi7qYc3YjQa6FjTj28ea86ykR0Y2DIYDxcT+6IT+O+8XbSasJx3I/Zx6sIlu9xPSjiLBRb+xzpK7ewBD84G70rZt63cAlo9az1eoOmH9pRZTKPL5L+I2B2N0QADmldm5aiODL8zNNu1PCajgRGdQ5k5tCX+Xq4cPpNEr4/W8MOGYxopL6TSMswMn7WNhTtP4WIy8slDYXStm/fEK9NznUJpUaUsSakZPDdrKynpJeeXdEq+REq6xg9bR0MyUmD+U9ZNSksSsxl+eSJP67yKrNDbn3p4I9X9SvNGr3qsG30nr3avTcUy7py/mMbHKw/T7p0VDJu5la2R+gFYbsOaD2DrN4AB7vvy1oVjOr0G5UKt/8YjRhdIiMVZcloGn/19mPYTVzBjzVHSzRbuqOlLxPPtmdCnPn6ebrfso2XVciwa3o47avqSkm7m1V/+YdisbcQnpxXAJ5CcSk03M2zmVv74JxoXk5FPB4bRuY6/Xfo2GQ1M6d8IHw9n/jkRzzt/7LdLv0VBySsxIiJZGQzQcyp83AJOboM171urhZUUqyfD4T9t+3kVy3Ve16oRDn/9Dw6vgPRUcLL/xsne7s4MbV+VwW1CWLY3hq/WHGXjkVh+33mK33eeomFQGTrV9MPFyYizyYCT0YCTKfPYiJPJgLPJiJPx8uvl884ma7urz7vc5H2To4u4iH3tng/LxlqPu02AWt1vfY2zO/T6GL4Khx2zrNUPa96Vr2EWRxaLhd92nuLdiH0cP28dxa4d6MWr3WvTNrR8rvsrV9qVLx9txperj/BOxD4W7jzFruMX+HBAYxoGlbFz9I5hsVjIMFtIy7CQmmEmLcNMarr11Xpssb5mmElLt74mp6RxLAGHjwSmppt5duZWlu6JwcXJyGcDw+hY08+u9wj0dmdS34YM+WYzX605Qutq5eyW3BVmSr5EBLwC4a6J1hGgle9AjW4QUN/RUeW/o2tgxVvW4x6TwL+OY+MpKIGNoJQfJJ2GY2uuVEDMB04mI93qBdKtXiC7T15gxpqjLNh+kh1RceyIisu3+2Yq7epEDf/S1AzwonagJzX9PakV4IW3h3O+37soibuYyvHzl6juVxo3Z5Ojw8le1Cb45UnrcfMnc7dFRlBzaDUM1k6F30ZAUAvwKJs/cRZDG4/E8taivbZ/s/5errzYtSZ9mlS6rV9wGI0GhravStMQH56btY3I2IvcP30tL3erxZC2VQrNHokWi4VtUXHM3RzF8fOXrkqgriRPWc5dTqRSM8zkLYdy4qeTq+nTpBK9G1ckuFzB/lIwJT2DZ77fyvJ9p3F1MvL5I01pX8M3X+51Z21/hrStwperjzDqpx0sGtGOQG/3fLlXYaHkS0SsGvSDvQtg3+/wy9Mw9M98GREpNBLPwM+Z67wGQKNivM7rWkajdd+jbd9b133lY/J1tboVvJnUtyH/vasWczcfJzI2ibQMC+kZZtLM1tf0DMs1x5dfL/+mON1ssX2dbr78mmEh3Wz9oedaiSnpbI2MY2tkXJbzAV5u1AzwpFaAJzUv/6nuVxpXp0KaeNjJhUtpHIxJ4EBMIgdiEjh42np8JiEFAC83J+5tVJEHmgVRr6K3g6O9yvmj1pLy6cnWXw51m5D7Pu541TrV9uwBiPgv9PnM7mEWN/+eSeSdiH0s3h0DgIeLiac7VOPxdlVxd7Hfv5XGlX1YOLwdo+ftZNGuaN5cuJd1h88xsW9DypZy3P+HklLSmb/9BD+sj2SPnQqDuFwe4Xd2MuJsMtq+drn8tckI+05eIDL2ElOWHWTKsoM0DfahT5NK9KgfmO+/OEpOy+Dp77ewYv8Z3JyNfPFIszyNbObGS91qsvFILLtOXGDE7O3MGtqyWM9aUPIlIlYGA9z9PhxbCzG74O+J0OlVR0eVPzLXeSWcurzO6z3r5y9JQsOtydeBiLz9IHsbypd25emO1ezeb+YUn6uTstMJKeyLjmd/dAL7oxPYF53AibhLRMcnEx2fzF8HztiuNxkNVClfipoBntQO8KRmgBe1AjypWMbd8XvQ5VJCchoHTydyINqaXFmTrARi4lNueE1pVyfik9P5bv0xvlt/jDqBXjzQLIhejSo6dqTw0nn4oS9cPAsBDazrvIx5+MHf2c1a/fDLLrBzDtTplbNpiyVQbFIqU5cf5Pv1x0g3WzAaoH/zyjzfOTRHa7rywtvdmY8ebML3GyJ54/c9LN93mu4frGLqgMY0r1Kwo5T7oxP4fv0xftl2gsQU6zpoVycjdzeoQOtq5XB1vjpxMtqmT185vnIus43z5STrVqN5aWlp/PLbIgxBjViw07qh/eZj59l87DzjFuymcx0/+jSuRIeavnbfVzI5LYMnv9vCXwesiddXjzajdfX8TbwAXJ1MfDigMT2mrmLjkVg+/PMgz3euke/3dRQlXyJyRWk/ayLy02BY9Z71B5NbLWYvikriOq9rVbsDjM4Q+691k+3y1R0d0W0zGAzWtV8mbFPnfEq5UDPAM0u7hOQ0DsQksPdUwlVJWTzxyekcOp3IodOJLNx5yta+lIuJGpmjZP5XkjIfB/5GPlNSSro1yYpJsI1oHYxJ4OSF5BteE+jtRqi/JzX8SlPD35NQ/9KE+nvi4WxizeGzzNkUxZLdMew5Fc/YBbt5a9FewusG8EDTIFpXK1ewiWh6KswZaB2t8qwAD84B19J5769SU2j9nLVox+/PWzdj1vRDm+S0DL5Ze5RpKw6RkGxNOu6o6cvo7rWp4e95i6tvn8FgYGDLYMIq+zBs5lb+PZtE/8/W8ULnGjxzR/V8HQ1JSc8g4p9ovl9/jE1HrxQFqlq+FA+2qMz9YZUo41Ew/+ZdTdC9UQX6Ngsm+kIyv24/wbytJ9gfk8CiXdEs2hVN2VIu3NOwAr0bV6RBJe/bnqKZnJbB0G83s+rgWdydTcwY3IyWVcvZ6RPdWkj5Urzdpz4jZm9n6vKDtKxarkDvX5CUfIlIVvX6WKcf7v7FOv3wyb/AydXRUdlPSV3ndS1XTwhpA/+utI5+lR/m6IgKjKebM2HBZQkLvvJDt8ViITo+mX3RCVlGyQ6fTiQpNYNtkXFsu2bqop+nKzUDPKlavhRuziZbkZDM33Bnf3yz9y4fOxlxNl45JiODlAzYdeIC/55LvpxkWROtE3E3Lt/v7+VqTa78PKlxOcEK9S+Nl9uNR7HahfrSLtSXuIupzN92gjmbj7P3VDy/7TjJbztOUsnHnb5hQfRtWokKZfJ5XYbFYk2Qjq4Cl9LWvby8Ktx+vx1fgf0RcHY//PES3PdFji67cCmNyHMXORabRGTsRcxmC9X9SlPdz5Pgch52H4UoSGazhd92nuTdiP22v1O3U0zjdtWp4MVvz7Xl/379h3lbT/De0gOs+/ccUx5ohJ+XfUfeomIv8sOGSOZujuJcUipgHQXvWsefh1sG07paOYeuPQvwduPJDtV4on1V9pyKZ97WE/y6/QRnE1P5eu1Rvl57lGq+pejTpBK9GlekYh7+XV5KzeDxbzex5tA5PFxMfD24eYGPNgLc26giqw+eZe6W44yYvY0/RrR36LTT/GKwOLqcShEVHx+Pt7c3Fy5cwMvL69YX5KO0tDQWLVpE9+7dcXbWIvKSIl+fe9I5a/XDpDPQejh0fcO+/TtK4hn4tJ11umHDAdYpSEVsuqFdn/v6T6xrX6q0h0d/s0+AxUxahpmjZ5P4//buOz6qKu/j+Gcy6SEJCSENQggtdFBKQGwI0mxUgUUXXMuqwCMi66orIqs+PKuusiJi13UFRVCwFzYgKgZQkE4ivYUUWiopZO7zx0kh9DKZScj3/Xrd1wx32m9yuDPzu+ec39mclkNK6fDF5LSc8mpv1UH9QB+TXIUH0iIisPy6M4YKWpbFhn3ZzP11N5+uSS3vDbHZTKI2vHMMvVuHV81cuR+eg8VPg80D/vARNL/eec+9dxW81dvM+Rw+G1rdSInDJOC7Duax51A+uw7ms+tQfvn1rKOnL4PuZTdDVptHBNI83Pz9m0fUoXG9ALw9Lywpc9V3+8odh3jmy02s3ZsFmPmQk/rGM+iyBtVi3s38VXuZvHADR4tLCKvjzQu3drzo4g8lDovFyRnMXrGLpb9nlhfFiAzyZWTXRozoGkOEk5O8c3Uu7X6sxMGPWw/wyep9fLcxjcJjDsAcl93i6jHo8gb0bxtJ4OlOtJQUQ2EO+IeSX3SMO9/9laTtBwnwtvPvP3Wlc2P39QbnFx3jxhk/sT0zj+tahvPW6M7VpvDK2ZxrbqCeLxE5WUA9uHE6zB1lqoPZvc1aOTXkA/CUKs3zagEDnq/Z78cZWvQ1ydeun6EgC3yrUYGFasLL7lHaYxQIHSp6XczQxVxS0nLYezi/UuWzsvlmRSdcP75wSPFprh//OMcJp0ZDA7xKk6vASsMGq3L4o81mo13DYNo1bMffBrTmm437mfvLHpZvP8QPv2fyw++ZhPh7MeiyhgzvEnPSEM8Ltn6+SbwABjzntMQrv+gYew4dZVdWA8IbjabjrnfImjeO0X4ONh3xoqjEccbHh9XxIbaeP41C/bEBWzPNMNX8opLSIia5le5v97DRuJ5/ee9js9LkLK60t7QqHStxkJlbSFpWAenZBaRlFZCWXUhG6XzHtOwCjmRl0+bYRnKsMIK8o7nn2hbceaVzi2lcrKGdGtIxpi7j5qwmOS2HP769kvuubcrE61ucd29jRk4Bc1fu4YOVuysNzb2qeRi3dYulV8twPGtAD6an3YOe8eH0jA8np6CYr9en8clve1m+/RBJ2w+StP0gT3y6gT6tIxl8eQOubBZm3pfDYeY7Ln4KsvdREnUZ83K7sC2zA3V86vPvP3WpNCLAHfy9PXl55OUMfGUZi5MzeHvZTu68Ms6tMTmber4ukHq+xN1c0u5Lppn1oADaDYNbZtbcIYg//hMS/27med29uMYON3R6u8/oDAe3wLB/Q5uBF/984jQlpYVDjhYW8d233zH45urzGb/rYB7zft3L/FV7Scuu+BHbIaYuwzvHcFOHqNOfdT/rkyfBezdDSZEpD9/3mXN+aInD4kBuIXsPm96q3Yfy2V16uetQfnlVRwBvivnC+zFaeOzj05IreKB4HF52Gw1DTHLVKNS/PNFqVHrp733yOWuHwyI16yhbMnLZWl7cxCRlZcUaTuRhg9h6ATQLr1PeU9ksvA5N69cpT3xOd6xblkVO4THSs0qTqLLkKruA9OzC8kTrQG7hSQl8ZRZvez3HdfY15l92H2xhLSC8FYS3hPDWUL8l1I01FVLdrKC4hKe+2MTsFbsB6BQbwksjLzvrMDvLskjafpDZy3fz7cY0jpX+UUL8vbi1cwwjuzaicVj1mfd7MZ/xew/n8+maVD5evZftmXnl++sH+vBAXCpDDr6G38ENJz3OYdnIi+5GYOeR0Ppm8Au56Pdxsf6TtJPJn27Ey27jk/t60K5h9T85eK65gZKvC6TkS9zNZe2++j9m3oXjGMT2gOHv17wJ6jt+gPduMUOMbn4ZLr/d3RFdMKe3+7d/g6SXocMfYNCsi38+cbrq/Blf4rD44fdM5v6yh/9uTi//YevnZWdAuyhu7dyQrnGh5z5s6OA2eLM3HD0ELW+EW98DD3ulhCM9u7A00ajo0UkvTTwycwspOXPGQbCfV3lC1dV7J7dvvAsPq4QDN7xJSKehThtqVzaPcEt6rknMMnLYUlriP7vg1EmZzQYxIf40D69D0/r+ZO7ZRljDpmTmFlUkVtkF5BeVnFMMnh42wgN9CA/yJTLIl8hgXyKCfIkM9qFD6kc0+WUqlocnNrs3FOef+km8/KF+fEUyFt7aJGhB0W4ZPfDluv088vE6cgqPEeznxXND29OnTeRJ98s6WszHq/Yye8Uuth2XiHSKDeG2bo3o3zaqWq5p54zj3bIs1u3N4pPVe9mwZgX3H/sPvey/AZCHP+ub3MW72Z2ov38Jg72SuIyUigd7eJme5rZDzGLkbipIZVkW976/im83phNbz58vxl954Sd0XETDDkXEOS6/HYIbwEejzYK8b/WBUfMgtAYMA7As+OVN+PYxk3i1HwGX3ebuqKqXFn1N8rXlOzMkpRqc4Zaaw+5ho2fLcHq2DOdAbiELVu9j7q972JqRy8er9/Lx6r3EhQUwrHNDhl7e8JTFEoqOOcjIKeBAxn6afz6IgKOH2B/QihcdY9n95srypONcEw67h43IIN/ynquY0svY0AAahfqfMBfucgjZAD/+k7DvH4XW15lh105gs9mICvYjKtiv0hwly7LIzClkS4apTLklI7f8+uH8YtNbdyifxGQAO+zcecrnD/L1rEimgsxlRHBpkhXkS0SwD/UCfE6dTGZshi//YeLs87RZtPrILrM/c7O5zEg2RUmK8yH1N7MdzyfIJGHlCVnpZUD9Kk3KbmgfRfuGwYz74DfW7jnCPf9ZxZgrGvPogJb4eNpZu+cIs1fs4rO1qRQUm2GkAd52Bl7WgNu6xdIqyr0nzF3BZrPRoW4hHTzexOLf2OwOSrAzu+R6XiweyOFN5m8Q5DuAYXdNhYAs2PCx2dI3QMpXZvMKMFWP2w6Fpte5dO1Pm83Gs0M6sGHfj+w6mM/jCzcwfXjHGjP/60zU83WB1PMl7ubydk/faNbayd5nvlxHzoWGnar+dS9UQRZ8Nh42fWr+HT/AVDWr4WXlnd7uJcXwbBMozIa7Ek0pbqlWatpnvGVZrN59hI9+2cMX61LJK02a7B42esbXp36gj+m9Ku2xOphXhDfF/Md7Ggkeyey1whhU+HcyqXvScx+fcJQnHcG+RAT6EFmaeNSrc5qE43SOFcLr10LGJmgzGIa945w/xAU4kFvIlnTTS5aSls3Grbto36Ix0XX9K95zsC8RQT6nHAJ5To4VwhvXmR/ZTXvBqPmnP+lScgwO7zB/m4xkc5mZDAe2gHWaZNgv9LhkrBXUb2Uu/UKcmpQVHXPw3LfJvPHjDgBaRwXhabexrrRwCEDLyEBGdYtl0GUNqONTM/obLvp4L8qDpJnw03QoLu3xa3kj9J5Kln8sX6xPZcHqfRzMK2LGyMtOXkw9Y7OZc7l+nknIy/iFQOtbzBSERle47ETdql2HuPW15ZQ4LJ4b2p5hHcPN/7+MzaX/LzebHrpOo10Sz5lo2GEVU/Il7uaWds/eD3OGQdp6M3dqyBvQ6ibXvPb5SP0N5o2BwzvBwxOu/zt0u/+SKLBRJe3+0WjYtBCu/osprCLVSk3+jM8rPMaX6/fz0S97+HXX4dPcy+Il71e42WMZeTZ/Xox5GUf9VkQG+1ROsoJ8q64QROpv8EYvk1BUk/mPVdbuZUON/evBfT9D4MlD9s7qWBEc3Frx4zezNDE7tAM4zc9KL3+zlmSdiOMuy65HVuwLqH9ePSyLk9N56KO1HM431Si97R7c0D6KUQmN6BQbUuN6Si643R0lsPYDU6gmp3SdwgadoM8zENv9/AOxLNi3yiRhGz6BvIyK2wKjzbI07YZBVIeq+W49LvFfuWIZmdt/o6XHXpp4pGM7MfFvPwIGv+b8GM6Thh2KiPMFRcEdX8P8P5lhanNvh77/C93vd3dkxvHDDEuKILiROYut3pwza9HPJF+/f6vkS5wqwMeTWzvHcGvnmPLFqy2simFyQb7Erf8XfknLwGYn4LbZPN70OtcHGn0ZXPkg/Pg8fPkQNL4SAly/vlWV27bEJF4AN8+4sMQLTHIU0frkwkVF+WZB7LJkLCPZJGdZu83wxcM7zXY2fqEmEQuMOHOy5hfCdS0j+OqBq5ixeCuxof4M6xxzSa4NdUZbE+G7yZCx0fy7biPo/aTpyb3QxMhmM9+dDTub7/kdP8CG+bDpc8hJNf+Pkl6Ges1MEtZ2KIQ1O//XcTgga0/lnqyMzWbIa4lZd60rQNl5Fwss32BsZXMP67eqcd/x1SL5mjlzJs899xxpaWl06NCBGTNm0LVr19Pef968eUyePJmdO3fSvHlz/vGPfzBgwIDy2y3LYsqUKbzxxhscOXKEHj16MGvWLJo3bw7Azp07eeqpp1i8eDFpaWlER0dz22238be//Q1v71p2wIqcL59AGPEBfP0X+PVt+PZRMzSh7/+ChxsnL580zPAGGDizWlRtqvaaXw/YIG0dZKc6ZyFbkRM0C6/DA72bV9655gNIet5cv/EFM6/EXa55GFK+Nj9gv3wIbv23+2KpCvmHYOF95nqnMdDyBue/hrc/RHc02/GK8iE3HXIzIDet9DL9uH3pkJNuelccx0zBlaOHzPyzM/HwgjoRRNUJ538DI8HnGrCPBGrJb7n0jSbp2pZo/u0bDFc/DF3vdm5lYg87NO1pthtegC2LTCKW8rXpAf1+mtmiOkK7oSbpC25Q+Tksy7RzeYJV1muaAkW5p3xZU+zFzCXMCW7Ooz8W80t+JH07duTvA9s57/25mNuTr7lz5zJx4kReffVVEhISmD59On379iUlJYXw8PCT7v/zzz8zcuRIpk2bxo033sicOXMYOHAgq1evpm3btgA8++yzvPTSS/z73/8mLi6OyZMn07dvXzZt2oSvry/Jyck4HA5ee+01mjVrxoYNG7j77rvJy8vj+eefd/WfQKTmsXuaD+C6sfDfKbDiVTiyxwxDdMecqpOGGT4F3e67JIYZukRAmDlzuPcX06PZaYy7I5LaYMeP5oQJQI8J7v9/5+kDA18x86E2LYSNC6DNIPfG5CyWBZ8/YIaj1WtmTpa5kre/KdJ0tkJNDgccPXxyYlZpK9139DA4iiF7r9nAFIlI/Dt0HAld7jbzzi5F2fthyTOwZrYpJuXhBV3vgasnVX01Yk8faHWj2QpzIPkrMzRx22LYv8Zs30021ZGbXWdO6JUlW0dPM/TY7m3W3wxvVXme4HHLHAQCwxpk8sXbK3lv+W6uaBZGv7ZRVfteq4jb53wlJCTQpUsXXn7ZdIM7HA5iYmIYP348jzzyyEn3Hz58OHl5eXzxxRfl+7p160bHjh159dVXsSyL6OhoHnroISZNmgRAVlYWERERvPvuu4wYMeKUcTz33HPMmjWL7du3n1PcmvMl7lZt2n3DJ7DgXigphOjL4Q9zzXAQV6iFwwyrrN1/eM7MFYgfACM/cN7zykWrNse6M2X+Dm/1Nj3WrQfC0HeqT6XNxc/AD8+aOVH3r4A69c/+mCrg1HZf/R/4bJw5OXXXf80wy5ruWGFpIlaajB3aDr/9xwx5LBN3DST82QytdufIjPNwxnYvzIWfX4KfZ1QsDdB6IPSeAqFNXB5rJXkHzEmL9R/D7p9PfR+bB4Q2LU2yjquQGdoE7Of2f3za15t5bel2gnw9+eqBq2gY4u+893CRasScr6KiIlatWsWjjz5avs/Dw4PevXuTlJR0ysckJSUxceLESvv69u3LwoULAdixYwdpaWn07t27/Pbg4GASEhJISko6bfKVlZVFaOjpzxYUFhZSWFixOGN2djZgDpLi4uIzv9EqVvb67o5DXKvatHv8TdhGhWOfdzu21NVYb/Ti2IgPzVmsqlSQjf3LCXgkfwaAo0V/Sm6cAX51wd1/kypUZe0e1wsvnsba/j3HjuaA58klwcU9qs2x7ix5B/CcPQxbQRaOBp3NcVtSYrbq4IoJeCZ/iS1jI44vHqRk8Ntu6UV3Wrsf2o7n13/FBpRc8yiO+m0vkc9IDwiINFsE0BTofA+2XT/i8cub2LZ8g23HUtixFCs4BkenO3B0uK3ar1N5ynZ3HMO2dg72pf+HrbTwhaNhVxy9pmI17FL2QFeHWpl3MHQcbbasvXhsWoBt/xqskMZYYfFY9VtBWPNTf7c4ML2Y5+CBnk1Yvu0ga/dmMX7Oambf2QUve/U4cXOux6pbk68DBw5QUlJCREREpf0REREkJyef8jFpaWmnvH9aWlr57WX7TnefE23dupUZM2acccjhtGnTmDp16kn7v/vuO/z9q0fWvWjRIneHIG5QXdo9oPEjdNv2PHWydmO92ZuVcQ9wMLBVlbxWcP4OuuyYSUBRBg6bnY3Rw9nu3xeWnOZs2yXI6e1uWfTxCsGv+DC/zp9ORlB75z6/XLTqcqxfDA9HET22/h+heTvJ867PDyFjKFq0xN1hnSQ4ZDhXZ0zFI/lzVs2ZQmpIN7fFcjHtbrOOcdXvTxNSnMeBOvEsO9wUvvrKidFVUwEj8Gvdm7jMRGIPfo931h7si/8OS6axN/QKtof1Jts/1t1RntGiRYvAsgjPXkeb1A8JKtgHQK53OJsaDGd/cGdYlwnrqmt7NgXfpnAU2APs2VN65eLdUh9S9tv5bU8WD7zxHTc2cjjleS9Wfv5pFio/gdvnfLnbvn376NevH8OGDePuu+8+7f0effTRSj1u2dnZxMTE0KdPn2ox7HDRokVcf/31l86QFDmratnueTfjmHc73vt+ocf25ym58V9Y7W513vNbFh6/voVH4jPYSorM2cxBb9GyweVcoiP7T1KV7e5hS4Tf3qNryBEcfQec/QHiEtXyWD9fxwqwpW/CI+lfeORtxfINxnv0p/Su6h7yi2D9kAM/Pkfn9A85dss41w2nLuWMdvdYOg17/nYsnyCCx8xlQHBDJ0dZ3f0Rio9ybOMn2H99E3v6emIPLiX24FIcMd1wdL4LK/6Gcx7y5gpl7d6nfRQ+S5/CY+cPAFh+ITiunIRPpzu4zO7NJTBw9KKEtUjjf+au47+pHoy6vgs9mjpncfSLUTYq7mzcmnyFhYVht9tJT0+vtD89PZ3IyFOXP42MjDzj/csu09PTiYqKqnSfjh07VnpcamoqPXv25IorruD1118/Y6w+Pj74+JxcOcbLy6vafBlWp1jEdapVu9eNgjGfw4J7sW1aiOdn90POPrN+1MUO2ynIgk/HwWYzzJD4G7ANnIlnLa1mWCXt3nIA/PYe9q3fYb/h+ZpdsMRRAruWmQnhTa6t8YtrQzU71s+kuMBUYdv/G6SuMRPwMzabKnYAHl7Yhs/GK6qNO6M8u2seht+/wZa+Hq9vH4bh77vlmLjgdt+VBMteBMB244t4hZ2l2MWlyssLuoyBzqNhzwpY8Rps/gyPPcvx2LPcrFnV+U9mkV4XJ9gnKTkGh7dy2a7X8f1tGTYsU4wi4c/YrnoIu18INWPmWtW7+bIYlu88wpwVu3ll6Q6uiY9w+5pu53qcujX58vb2plOnTiQmJjJw4EDAFNxITExk3Lhxp3xM9+7dSUxMZMKECeX7Fi1aRPfuZgG5uLg4IiMjSUxMLE+2srOzWbFiBffdd1/5Y/bt20fPnj3p1KkT77zzDh7VZaKvSE3n5Wcmz/+3kZkYvOQZOLwLbpp+4WcXK1Uz9II+T0HCvTU7OaiO4q4Guw8c2W0mrYdXzbDRKpW+EdZ+aKpvlS006uUP8f3NOjTNep/XAq5yFmdLtI7nX8+Uou52H8Rd5eJAL4Cnd2n1w56Q/AVs+NiU0a4JCrJgwT2mEl77ETUn7qpks0GjbmbL3m+WSln1jlmzasnTpshKm0HQ9c/QsFPVxuIoMd9nmckV61plJsOB3/EqKaJR2f3aDoVekyGkcdXGU0M9cWNrQv29ue/apm5PvM6H24cdTpw4kdGjR9O5c2e6du3K9OnTycvL44477gDgj3/8Iw0aNGDatGkAPPDAA1xzzTX885//5IYbbuDDDz/k119/Le+5stlsTJgwgaeffprmzZuXl5qPjo4uT/D27dvHtddeS2xsLM8//zyZmZnl8Zyux01EzoOHh0mQQmLhq7/AmvdNKeBb3zPrkJwry4KVb8B3fzPVDOs2gqHvVv0XY23lHWASsK2LzILLNSX5ykkzydbauZC+vmK/bzD41jXr0G342Gy+daH1zeZHTeMra0wFtGrhQhKt6I6ll5dBcMOad8Ikqr3puf9+Gnw1CRpfZRb+re6+eticRKnbCAY85+5oqp+gKLjub6Y0+6ZPTW/Yvl9h3VyzRV9uqiS2GXRx62WVLSB8/KLTmZtNtc9jR0/5EMvLn0zfJoQOeQHPxgkX/tq1gK+XnUl9490dxnlze/I1fPhwMjMzeeKJJ0hLS6Njx45888035QUzdu/eXalX6oorrmDOnDk8/vjjPPbYYzRv3pyFCxeWr/EF8PDDD5OXl8c999zDkSNHuPLKK/nmm2/w9TUVVhYtWsTWrVvZunUrDRtWHv/s5sr7IpeWLndBcAzMuwO2fw9v94M/fAR1Y87+2BOHGba8EW55WYsmV7UWfU3y9f002PmTWfS26XVQP756/XAuyoPkL00v1/Yl5gw/mJ7RFn2h/XBzafeGfavNgqAbPjELvK5+z2x1Is2Pq3ZDoUGn6vX+3K02Jlqnc9VDpucrbT18OdFtww/P2fr5sO5DU9Z78Bvg69556dWapw+0v9Vs+1bBitdh4yeQuhoW/Bm+e9ysP9f5T2defN6yKtazytxckWRlJENx3mle27dibavShYQJb8mxgCiSvv6GAQ0ur5K3LO7n9nW+aiqt8yXuVqPaPXUNzBlufvjWiTRrgUV3PMP9NczwdKq83XMzzfpLh3dW3h8YXZqI9TRzqALCnP/aZ+MogR0/mDPTmz+HotyK2xp2gQ4joM3g05eSLpsHtn6+OdtdcKTitpDG0HYItBtW7Xr8XHKs56SZBWr3ra7didbppG2A16815bAHvwnth1X5S15Qux/ZA7N6QGEWXP2w6d2R85ObCavfhV/eNkMSAWx2aHWT6Q0LbWp6sSoNGUwxf/NT8fAqTbJaViweHN7KfOacoue9Rn23SyU1Yp0vEaklojuahT1nDzNnA98ZYBZDbtG38v00zND96tSH/1ljflxsW2y2XT+bHyFr3jcbQFSHil6xmISLG5pzNuXzuOZX/BgC8+Ol/XCz1Wt69ufxsJthlXFXw4DnYVuiec6Ur0yy+eM/zRbeBtoNMcnYpTzXoiDLJLHr55mk1jqhXPNJiVZH05N9qSdapxLZ1hTgWPKMGX4YdxUEVrNpCo4S01tTmAUNOpt45fzVqW+GmvaYYHo8V75hTtpsWmi207HZoV6zioWD67c0SdZ5LCAstYOSLxFxjboxcOe3MPd22LEUPhhh5iJ0ucvcrmGG1YfNBhFtzHbFeCg+CruTSpOxJZC+AfavNdtPL5qCFo2vrEjGwlpc/A/0nLSK4VNpJ8zjajPY9HLFJFz463h6myIc8f3NEMaUr82csC2LIGMjJG6ExL+bHrW2Q83wxJow1+dsigtgy3ew/iP4/TsoKay4rUFnaHKNEq3TufJB82N8/1r44kEYMad6/X2W/cskCV4BMPh1/eC/WHYvc9y3GWQ+g1a+DuvmmWMmJK6iB6ssyarXrGpPQsklQ8mXiLiObzCMmg9fTIA1s+HLh0wlxDYDYf6fNMywuvLyq0iswCRG27+vSMbyMswP+i3fmduDGpjhiU2vg7hrIeAc118513lczv6B4x1g5n21GwpHD5f2Bs03vUF7fzHbt4+aYgvthpnhR351nRtDVSobrrl+vjm5UXjcWjRh8WYIXduhEFpLS5GfK7sXDJwFr11jekvXfQQdhrs7KmPfatMrB9D/H+fWEyznLrId3DwD+j8HWOYzUeQCKfkSEdfy9IZbZprhXEueMeXof37J3Fa3EQx71xQ/kOorMNL0PHUYYap5ZWw0SVjZEMXsffDb+2bDdoohiseVej/jPK6u5sftmeZxOZtfCFz+R7PlpMHGBSZp2fer6bHdsdQUXWh2vRma2KI/ePu7JrbzYVmmaMC6eaaAQO5x62MGNTBDKtvfChFtdZLjfES0gWv/CoufNiePivPh8tGmwqu7FOXBJ3ebOXqtbobLbnNfLJc6L193RyCXACVfIuJ6NpuZj1A3Fj4dayaxt7zRJGU1qUdBzI/OyHZm6/E/Zojirp8resUyNpoCDvvXwE8vmCFRja80PWM5+01ycNI8rhEmMXD32fvASLMmVbf74NCOinL1GZsg5UuzeQVA8+tNSfL6Lc1WNxbsbvp6PbDFzOFaPw8Oba/Y7xcCrQeanrtG3d2bLNR0PR6Ebd/Drp9ML/5v78MN/zxzEaGq9O1jcHArBEbBTf9SMi1SzSn5EhH36TDcnEk+stvMvdGPhprPyw+a9TIbmMVMy4Yobl8CeZmw5VuzlfGta+ZVXOw8rqoUGmfWBLp6EqRvMqXr1883a4idOBHf7mPmf9SPL03ISi9Dm1TNAs/ZqaaM/vp5Jskt4+kHLW8wCVfT67S4tLPYPeGPn8Ivb8DiZ0yv6Bs9ofOdcN3jrj2BlPwlrHrXXB/0qut6iEXkgin5EhH3imxrNrk0BUVBx5FmKx+iuBi2LwWfOmauUVXM46pKEa0h4gm4bjLs/RV2fG8WTc1MhgO/w7EC8z4zNlZ+nIenKVNdKSmLh3rNz38409HDsOkzk3Dt/AkoXTXGZjeJb7thED/A/I3F+eyepke09UCzFtSG+SYZ27QQrn/KnEio6pMIOWnw2Xhzvfs4swSEiFR7Sr5ERMQ1Kg1RfMDd0Vw8mw1iupitjKPE9OQeKE3GMlMqLoty4UCK2cqqeoJZDDekceVesvrxpmqkd0DF/YqPwu9fmKGaW74zw3XLxHQzBUPaDHLPGmy1VVAUDH3LzBH8apJp94X3wm//McsZRLSumtd1OGDh/ZB/ECLaQa8nquZ1RMTplHyJiIg4i4fdDFEMjau8jp1lmUIk5QlZ2bbZLLNwaLvZUr6q/HzBjbCHtaDzwWw8p99fuSBJeBuTcLUdAiGxrnl/cmpNroF7l8HymbD0WVPy/dUrTe/YtY+AT6BzX2/l62adOk9fGPJmzeo5FqnllHyJiIhUNZsNghuarVnviv2WBbkZJ/eSZSZD/gHI2o1H1m4alN0/OKa0LP4wM19Sqg9Pb7MWWNuh8M0jZk2wpJfNfLy+z5heSWcMRUzfCItKe7r6PG0W9RWRGkPJl4iIiLvYbGbx5sAI03tyvLyDcCCFkrSNbPltGc363IVn4ytUqbC6qxsDI2abRay//otZv3D+HbD6PTMUMazZhT93cQF8fLdZ6Ld5n4pF6kWkxtAnuIiISHUUUA9ir8Bx+RhSogZhxSQo8apJWvSB+5fDNY+YCpjbl8Cs7pD4FBTlX9hzJk41hVz8w8zSHNWxMqiInJE+xUVERESqgpcf9HwUxi43C3OXFMGPz8MrCZD81dkff7ytibD8FXP9lplQJ9z58YpIlVPyJSIiIlKVQpvAqHkw/H0IamgqYn44EuYMN8MSzybvoKluCGaoYXy/Kg1XRKqOki8RERGRqmazQaubYNxK6DHBrPv2+zcwMwGWPgfHCk/9OMuCz/8HctPM8gPXP+XSsEXEuZR8iYiIiLiKdwBcPxXu+xkaX2UW5V7yNLzS3QwtPIFtzfumcqKHlykr7+3vhqBFxFmUfImIiIi4Wv14GP05DHkL6kTAoW3w/mD4aDRk7QMgoGA/9kV/M/fvNRmiOrgxYBFxBiVfIiIiIu5gs5l128b9Agn3gc0DNi2El7vgkTSDTrtexVacb3rIuo93d7Qi4gRKvkRERETcyTcY+v8f/PkHiEmA4jzsi6cSkr8Dy7cuDHpVywyIXCJ0JIuIiIhUB5Ht4I5v4JaZWP71sLBRMuAFCG7o7shExEmUfImIiIhUFx4ecNltHLv/VxJbP4vV6mZ3RyQiTqTkS0RERKS68QkkzyfC3VGIiJMp+RIREREREXEBJV8iIiIiIiIuoORLRERERETEBZR8iYiIiIiIuICSLxERERERERdQ8iUiIiIiIuICSr5ERERERERcQMmXiIiIiIiICyj5EhERERERcQElXyIiIiIiIi6g5EtERERERMQFlHyJiIiIiIi4gJIvERERERERF1DyJSIiIiIi4gKe7g6gprIsC4Ds7Gw3RwLFxcXk5+eTnZ2Nl5eXu8MRF1G7105q99pHbV47qd1rJ7V7zVWWE5TlCKej5OsC5eTkABATE+PmSEREREREpDrIyckhODj4tLfbrLOlZ3JKDoeD1NRUAgMDsdlsbo0lOzubmJgY9uzZQ1BQkFtjEddRu9dOavfaR21eO6ndaye1e81lWRY5OTlER0fj4XH6mV3q+bpAHh4eNGzY0N1hVBIUFKQDtRZSu9dOavfaR21eO6ndaye1e810ph6vMiq4ISIiIiIi4gJKvkRERERERFxAydclwMfHhylTpuDj4+PuUMSF1O61k9q99lGb105q99pJ7X7pU8ENERERERERF1DPl4iIiIiIiAso+RIREREREXEBJV8iIiIiIiIuoORLRERERETEBZR8XQJmzpxJ48aN8fX1JSEhgZUrV7o7JKlCTz75JDabrdLWsmVLd4clTvTDDz9w0003ER0djc1mY+HChZVutyyLJ554gqioKPz8/OjduzdbtmxxT7DiNGdr9zFjxpx07Pfr1889wYrTTJs2jS5duhAYGEh4eDgDBw4kJSWl0n0KCgoYO3Ys9erVo06dOgwZMoT09HQ3RSwX61za/Nprrz3peL/33nvdFLE4k5KvGm7u3LlMnDiRKVOmsHr1ajp06EDfvn3JyMhwd2hShdq0acP+/fvLt59++sndIYkT5eXl0aFDB2bOnHnK25999lleeuklXn31VVasWEFAQAB9+/aloKDAxZGKM52t3QH69etX6dj/4IMPXBihVIWlS5cyduxYli9fzqJFiyguLqZPnz7k5eWV3+fBBx/k888/Z968eSxdupTU1FQGDx7sxqjlYpxLmwPcfffdlY73Z5991k0RizOp1HwNl5CQQJcuXXj55ZcBcDgcxMTEMH78eB555BE3RydV4cknn2ThwoWsWbPG3aGIC9hsNhYsWMDAgQMB0+sVHR3NQw89xKRJkwDIysoiIiKCd999lxEjRrgxWnGWE9sdTM/XkSNHTuoRk0tLZmYm4eHhLF26lKuvvpqsrCzq16/PnDlzGDp0KADJycm0atWKpKQkunXr5uaI5WKd2OZger46duzI9OnT3RucOJ16vmqwoqIiVq1aRe/evcv3eXh40Lt3b5KSktwYmVS1LVu2EB0dTZMmTRg1ahS7d+92d0jiIjt27CAtLa3ScR8cHExCQoKO+1rg+++/Jzw8nPj4eO677z4OHjzo7pDEybKysgAIDQ0FYNWqVRQXF1c65lu2bEmjRo10zF8iTmzzMrNnzyYsLIy2bdvy6KOPkp+f747wxMk83R2AXLgDBw5QUlJCREREpf0REREkJye7KSqpagkJCbz77rvEx8ezf/9+pk6dylVXXcWGDRsIDAx0d3hSxdLS0gBOedyX3SaXpn79+jF48GDi4uLYtm0bjz32GP379ycpKQm73e7u8MQJHA4HEyZMoEePHrRt2xYwx7y3tzd169atdF8d85eGU7U5wB/+8AdiY2OJjo5m3bp1/PWvfyUlJYVPPvnEjdGKMyj5Eqlh+vfvX369ffv2JCQkEBsby0cffcSdd97pxshEpCodP6S0Xbt2tG/fnqZNm/L999/Tq1cvN0YmzjJ27Fg2bNigeby1yOna/J577im/3q5dO6KioujVqxfbtm2jadOmrg5TnEjDDmuwsLAw7Hb7SRWP0tPTiYyMdFNU4mp169alRYsWbN261d2hiAuUHds67qVJkyaEhYXp2L9EjBs3ji+++IIlS5bQsGHD8v2RkZEUFRVx5MiRSvfXMV/zna7NTyUhIQFAx/slQMlXDebt7U2nTp1ITEws3+dwOEhMTKR79+5ujExcKTc3l23bthEVFeXuUMQF4uLiiIyMrHTcZ2dns2LFCh33tczevXs5ePCgjv0azrIsxo0bx4IFC1i8eDFxcXGVbu/UqRNeXl6VjvmUlBR2796tY76GOlubn0pZkS0d7zWfhh3WcBMnTmT06NF07tyZrl27Mn36dPLy8rjjjjvcHZpUkUmTJnHTTTcRGxtLamoqU6ZMwW63M3LkSHeHJk6Sm5tb6ezmjh07WLNmDaGhoTRq1IgJEybw9NNP07x5c+Li4pg8eTLR0dGVKuNJzXOmdg8NDWXq1KkMGTKEyMhItm3bxsMPP0yzZs3o27evG6OWizV27FjmzJnDp59+SmBgYPk8ruDgYPz8/AgODubOO+9k4sSJhIaGEhQUxPjx4+nevbsqHdZQZ2vzbdu2MWfOHAYMGEC9evVYt24dDz74IFdffTXt27d3c/Ry0Syp8WbMmGE1atTI8vb2trp27WotX77c3SFJFRo+fLgVFRVleXt7Ww0aNLCGDx9ubd261d1hiRMtWbLEAk7aRo8ebVmWZTkcDmvy5MlWRESE5ePjY/Xq1ctKSUlxb9By0c7U7vn5+VafPn2s+vXrW15eXlZsbKx19913W2lpae4OWy7SqdocsN55553y+xw9etS6//77rZCQEMvf398aNGiQtX//fvcFLRflbG2+e/du6+qrr7ZCQ0MtHx8fq1mzZtZf/vIXKysry72Bi1NonS8REREREREX0JwvERERERERF1DyJSIiIiIi4gJKvkRERERERFxAyZeIiIiIiIgLKPkSERERERFxASVfIiIiIiIiLqDkS0RERERExAWUfImIiIiIiLiAki8REREXs9lsLFy40N1hiIiIiyn5EhGRWmXMmDHYbLaTtn79+rk7NBERucR5ujsAERERV+vXrx/vvPNOpX0+Pj5uikZERGoL9XyJiEit4+PjQ2RkZKUtJCQEMEMCZ82aRf/+/fHz86NJkybMnz+/0uPXr1/Pddddh5+fH/Xq1eOee+4hNze30n3efvtt2rRpg4+PD1FRUYwbN67S7QcOHGDQoEH4+/vTvHlzPvvss6p90yIi4nZKvkRERE4wefJkhgwZwtq1axk1ahQjRoxg8+bNAOTl5dG3b19CQkL45ZdfmDdvHv/9738rJVezZs1i7Nix3HPPPaxfv57PPvuMZs2aVXqNqVOncuutt7Ju3ToGDBjAqFGjOHTokEvfp4iIuJbNsizL3UGIiIi4ypgxY3j//ffx9fWttP+xxx7jsccew2azce+99zJr1qzy27p168bll1/OK6+8whtvvMFf//pX9uzZQ0BAAABfffUVN910E6mpqURERNCgQQPuuOMOnn766VPGYLPZePzxx3nqqacAk9DVqVOHr7/+WnPPREQuYZrzJSIitU7Pnj0rJVcAoaGh5de7d+9e6bbu3buzZs0aADZv3kyHDh3KEy+AHj164HA4SElJwWazkZqaSq9evc4YQ/v27cuvBwQEEBQUREZGxoW+JRERqQGUfImISK0TEBBw0jBAZ/Hz8zun+3l5eVX6t81mw+FwVEVIIiJSTWjOl4iIyAmWL19+0r9btWoFQKtWrVi7di15eXnlty9btgwPDw/i4+MJDAykcePGJCYmujRmERGp/tTzJSIitU5hYSFpaWmV9nl6ehIWFgbAvHnz6Ny5M1deeSWzZ89m5cqVvPXWWwCMGjWKKVOmMHr0aJ588kkyMzMZP348t99+OxEREQA8+eST3HvvvYSHh9O/f39ycnJYtmwZ48ePd+0bFRGRakXJl4iI1DrffPMNUVFRlfbFx8eTnJwMmEqEH374Iffffz9RUVF88MEHtG7dGgB/f3++/fZbHnjgAbp06YK/vz9DhgzhhRdeKH+u0aNHU1BQwIsvvsikSZMICwtj6NChrnuDIiJSLanaoYiIyHFsNhsLFixg4MCB7g5FREQuMZrzJSIiIiIi4gJKvkRERERERFxAc75ERESOo9H4IiJSVdTzJSIiIiIi4gJKvkRERERERFxAyZeIiIiIiIgLKPkSERERERFxASVfIiIiIiIiLqDkS0RERERExAWUfImIiIiIiLiAki8REREREREX+H/1OFyZBU7ldAAAAABJRU5ErkJggg==\n" }, "metadata": {} } ], "source": [ "# LSTM with sentiment training and validation loss\n", "plot_history(history_lstm_s, \"LSTM_Sentiment\")" ] }, { "cell_type": "markdown", "source": [ "LSTM sentiment model predictions and inverse transform" ], "metadata": { "id": "VVmW8hkms5LS" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "OW2H3QeqjhO6", "outputId": "3a6ad1d4-93eb-4bd0-caa2-b7d78d556a0b" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step\n" ] } ], "source": [ "# LSTM sentiment model make predicions and and inverse scale\n", "lstm_s_predictions, target_test_actual_s = predict_and_inverse_scale(\n", " lstm_model_s,\n", " X_test_seq_s,\n", " y_test_seq_s,\n", " target_scaler_s\n", ")" ] }, { "cell_type": "markdown", "source": [ "creating results and plotting actual and predicted values of LSTM sentiment model" ], "metadata": { "id": "k_lnWf0rsqOS" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "7gxaCfCnjt2u", "outputId": "6bbd8bc2-699d-401f-ad27-512cacbfebb6" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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Actual VolatilityLSTM_Sentiment Predicted Volatility
Date
2021-02-030.1693170.145743
2021-02-040.1687030.151643
2021-02-050.1628070.155907
2021-02-080.1617440.156740
2021-02-090.1601360.155063
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Model: \"sequential_31\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ bidirectional_8 (\u001b[38;5;33mBidirectional\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m160,768\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_124 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m256\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ bidirectional_9 (\u001b[38;5;33mBidirectional\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m164,352\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_125 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_134 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m8,256\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_135 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m2,080\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_136 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m528\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_126 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_137 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m17\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ bidirectional_8 (Bidirectional) │ (None, 21, 256)        │       160,768 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_124 (Dropout)           │ (None, 21, 256)        │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ bidirectional_9 (Bidirectional) │ (None, 128)            │       164,352 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_125 (Dropout)           │ (None, 128)            │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_134 (Dense)               │ (None, 64)             │         8,256 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_135 (Dense)               │ (None, 32)             │         2,080 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_136 (Dense)               │ (None, 16)             │           528 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_126 (Dropout)           │ (None, 16)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_137 (Dense)               │ (None, 1)              │            17 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m336,001\u001b[0m (1.28 MB)\n" ], "text/html": [ "
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              "
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              "
\n" ] }, "metadata": {} } ], "source": [ "# installing Bi_LSTM sentiment model with shape (21,28)\n", "tf.keras.utils.set_random_seed(42)\n", "bilstm_model_s = get_bilstm_model(\n", " input_shape=(X_train_seq_s.shape[1], X_train_seq_s.shape[2])\n", ")" ] }, { "cell_type": "markdown", "source": [ "Compilling Bi-LSTM sentiment model" ], "metadata": { "id": "rR7xk57Psaac" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "kUZfi3aRlRXY" }, "outputs": [], "source": [ "# compiling Bi-LSTM sentiment model with adam optimiser\n", "bilstm_model_s.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "Call backs and training of Bi-LSTM sentiment model" ], "metadata": { "id": "BfQmzKe4r3QO" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "hXWZqQFflRbM", "outputId": "7b0d2602-36e2-4147-a6b2-a552cdec0f5f" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m6s\u001b[0m 25ms/step - loss: 0.0097 - mae: 0.0644 - val_loss: 0.0054 - val_mae: 0.0409 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0055 - mae: 0.0448 - val_loss: 0.0093 - val_mae: 0.0537 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0043 - mae: 0.0387 - val_loss: 0.0022 - val_mae: 0.0279 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - loss: 0.0044 - mae: 0.0395 - val_loss: 0.0024 - val_mae: 0.0367 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 23ms/step - loss: 0.0037 - mae: 0.0371 - val_loss: 0.0023 - val_mae: 0.0292 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0032 - mae: 0.0353 - val_loss: 0.0023 - val_mae: 0.0332 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step - loss: 0.0029 - mae: 0.0338 - val_loss: 0.0011 - val_mae: 0.0230 - learning_rate: 5.0000e-04\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0027 - mae: 0.0339 - val_loss: 0.0012 - val_mae: 0.0228 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0032 - mae: 0.0340 - val_loss: 0.0015 - val_mae: 0.0260 - learning_rate: 5.0000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0027 - mae: 0.0319 - val_loss: 0.0021 - val_mae: 0.0323 - learning_rate: 5.0000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0023 - mae: 0.0302 - val_loss: 0.0018 - val_mae: 0.0229 - learning_rate: 2.5000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0025 - mae: 0.0301 - val_loss: 0.0023 - val_mae: 0.0253 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 22ms/step - loss: 0.0026 - mae: 0.0300 - val_loss: 0.0015 - val_mae: 0.0244 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 25ms/step - loss: 0.0026 - mae: 0.0301 - val_loss: 0.0023 - val_mae: 0.0241 - learning_rate: 1.2500e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0028 - mae: 0.0303 - val_loss: 0.0019 - val_mae: 0.0236 - learning_rate: 1.2500e-04\n" ] } ], "source": [ "# call backs\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_BILSTM_S.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training\n", "history_bilstm_s = bilstm_model_s.fit(\n", " X_train_seq_s,\n", " y_train_seq_s,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "7YDtoTlKlRfH", "outputId": "09d924d2-bbb0-46c9-fa5b-9b5c8220fe7d" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# Bi-LSTM with sentiment training and validation loss\n", "plot_history(history_bilstm_s, \"Bi-LSTM_Sentiment\")" ] }, { "cell_type": "markdown", "source": [ "Bi-LSTM predictions and inverse transform" ], "metadata": { "id": "KvRLLvpVruXm" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "ZwDWupB0lRoX", "outputId": "b89a15f9-7479-4a8a-ea00-6d8c4ae61207" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 19ms/step\n" ] } ], "source": [ "bilstm_s_predictions, target_test_actual_s = predict_and_inverse_scale(\n", " bilstm_model_s,\n", " X_test_seq_s,\n", " y_test_seq_s,\n", " target_scaler_s\n", ")\n" ] }, { "cell_type": "markdown", "source": [ "Results and plotting actual and predicting values of BI-LSTM" ], "metadata": { "id": "IPgAV_-4rivF" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "ry_Uh7sYl3mF", "outputId": "91c695f0-e89c-4c50-9144-c869435beb85" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [ " Actual Volatility Bi-LSTM_Sentiment Predicted Volatility\n", "Date \n", "2021-02-03 0.169317 0.172745\n", "2021-02-04 0.168703 0.169068\n", "2021-02-05 0.162807 0.170455\n", "2021-02-08 0.161744 0.166708\n", "2021-02-09 0.160136 0.163361" ], "text/html": [ "\n", "
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Actual VolatilityBi-LSTM_Sentiment Predicted Volatility
Date
2021-02-030.1693170.172745
2021-02-040.1687030.169068
2021-02-050.1628070.170455
2021-02-080.1617440.166708
2021-02-090.1601360.163361
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "bilstm_s_results", "summary": "{\n \"name\": \"bilstm_s_results\",\n \"rows\": 773,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2021-02-03 00:00:00\",\n \"max\": \"2024-02-29 00:00:00\",\n \"num_unique_values\": 773,\n \"samples\": [\n \"2022-07-14 00:00:00\",\n \"2023-10-16 00:00:00\",\n \"2023-02-21 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Actual Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06338538102384665,\n \"min\": 0.06803955684916459,\n \"max\": 0.3489603286420088,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.22844653419723016,\n 0.12527449320834527,\n 0.1586309742806594\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Bi-LSTM_Sentiment Predicted Volatility\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 773,\n \"samples\": [\n 0.271280974149704,\n 0.16241799294948578,\n 0.15233872830867767\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 478 } ], "source": [ "# result and plot of acutal vs prediction values\n", "bilstm_s_results = create_results_and_plot(\n", " model_name=\"Bi-LSTM_Sentiment\",\n", " predictions=bilstm_s_predictions,\n", " actual=target_test_actual_s,\n", " y_test=y_test_s,\n", " lookback=lookback\n", ")\n", "\n", "bilstm_s_results.head()" ] }, { "cell_type": "markdown", "metadata": { "id": "1apF4bQxj3ns" }, "source": [ "## PatchTST with sentiment" ] }, { "cell_type": "markdown", "source": [ "Installing patchTST sentiment model" ], "metadata": { "id": "jE777_SKTzeQ" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 618 }, "id": "ma4JSW4sqtFP", "outputId": "cd9f8079-bc67-46b2-cd3a-b58bf8986216" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"functional_40\"\u001b[0m\n" ], "text/html": [ "
Model: \"functional_40\"\n",
              "
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┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│ input_layer_40      │ (None, 21, 28)    │          0 │ -                 │\n",
              "│ (InputLayer)        │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ conv1d_37 (Conv1D)  │ (None, 18, 64)    │      7,232 │ input_layer_40[0… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ multi_head_attenti… │ (None, 18, 64)    │     16,640 │ conv1d_37[0][0],  │\n",
              "│ (MultiHeadAttentio… │                   │            │ conv1d_37[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_20 (Add)        │ (None, 18, 64)    │          0 │ conv1d_37[0][0],  │\n",
              "│                     │                   │            │ multi_head_atten… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 18, 64)    │        128 │ add_20[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_138 (Dense)   │ (None, 18, 64)    │      4,160 │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_139 (Dense)   │ (None, 18, 64)    │      4,160 │ dense_138[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_21 (Add)        │ (None, 18, 64)    │          0 │ layer_normalizat… │\n",
              "│                     │                   │            │ dense_139[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 18, 64)    │        128 │ add_21[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ flatten_4 (Flatten) │ (None, 1152)      │          0 │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_140 (Dense)   │ (None, 32)        │     36,896 │ flatten_4[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_141 (Dense)   │ (None, 1)         │         33 │ dense_140[0][0]   │\n",
              "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
              "
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 Total params: 69,377 (271.00 KB)\n",
              "
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 Trainable params: 69,377 (271.00 KB)\n",
              "
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              "
\n" ] }, "metadata": {} } ], "source": [ "# installing patchTST sentiment model with shape (21,28)\n", "tf.keras.utils.set_random_seed(42)\n", "patchtst_model_s = build_patchtst(\n", " input_shape=(\n", " X_train_seq_s.shape[1],\n", " X_train_seq_s.shape[2]\n", " )\n", ")\n", "\n", "patchtst_model_s.summary()" ] }, { "cell_type": "markdown", "source": [ "Compilling patchTST sentiment model" ], "metadata": { "id": "6PnXhgTbrXVy" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "lW4Mqb5_qtIV" }, "outputs": [], "source": [ "# compiling patchTST sentiment model with adam optimiser\n", "patchtst_model_s.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "call backs and training patchTST sentiment model" ], "metadata": { "id": "8ZvQTteVrOG5" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "FxhACKGzqtNA", "outputId": "5d893b66-f626-4b16-f7f6-00b776dbe553" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m12s\u001b[0m 81ms/step - loss: 0.1697 - mae: 0.2029 - val_loss: 0.0149 - val_mae: 0.0832 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 7ms/step - loss: 0.0055 - mae: 0.0572 - val_loss: 0.0076 - val_mae: 0.0553 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 0.0035 - mae: 0.0451 - val_loss: 0.0049 - val_mae: 0.0461 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 0.0024 - mae: 0.0374 - val_loss: 0.0037 - val_mae: 0.0419 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 0.0018 - mae: 0.0321 - val_loss: 0.0028 - val_mae: 0.0356 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 0.0015 - mae: 0.0289 - val_loss: 0.0022 - val_mae: 0.0302 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 0.0012 - mae: 0.0264 - val_loss: 0.0021 - val_mae: 0.0286 - learning_rate: 0.0010\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 8.8222e-04 - mae: 0.0224 - val_loss: 0.0019 - val_mae: 0.0274 - learning_rate: 0.0010\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 23ms/step - loss: 7.2331e-04 - mae: 0.0202 - val_loss: 0.0019 - val_mae: 0.0274 - learning_rate: 0.0010\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 6.2318e-04 - mae: 0.0188 - val_loss: 0.0017 - val_mae: 0.0252 - learning_rate: 0.0010\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 9ms/step - loss: 5.4835e-04 - mae: 0.0176 - val_loss: 0.0014 - val_mae: 0.0227 - learning_rate: 0.0010\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 4.8867e-04 - mae: 0.0167 - val_loss: 0.0012 - val_mae: 0.0213 - learning_rate: 0.0010\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 4.3109e-04 - mae: 0.0156 - val_loss: 0.0012 - val_mae: 0.0206 - learning_rate: 0.0010\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 10ms/step - loss: 3.8900e-04 - mae: 0.0147 - val_loss: 0.0011 - val_mae: 0.0200 - learning_rate: 0.0010\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 9ms/step - loss: 3.5987e-04 - mae: 0.0141 - val_loss: 0.0011 - val_mae: 0.0195 - learning_rate: 0.0010\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 8ms/step - loss: 3.3984e-04 - mae: 0.0137 - val_loss: 0.0011 - val_mae: 0.0191 - learning_rate: 0.0010\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 3.2296e-04 - mae: 0.0133 - val_loss: 0.0011 - val_mae: 0.0187 - learning_rate: 0.0010\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 3.1218e-04 - mae: 0.0130 - val_loss: 0.0011 - val_mae: 0.0193 - learning_rate: 0.0010\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 2.6815e-04 - mae: 0.0120 - val_loss: 0.0012 - val_mae: 0.0195 - learning_rate: 5.0000e-04\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 2.6084e-04 - mae: 0.0118 - val_loss: 0.0012 - val_mae: 0.0201 - learning_rate: 5.0000e-04\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 2.5589e-04 - mae: 0.0117 - val_loss: 0.0012 - val_mae: 0.0207 - learning_rate: 5.0000e-04\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 2.4036e-04 - mae: 0.0114 - val_loss: 0.0010 - val_mae: 0.0182 - learning_rate: 2.5000e-04\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 2.3575e-04 - mae: 0.0112 - val_loss: 0.0010 - val_mae: 0.0182 - learning_rate: 2.5000e-04\n", "Epoch 24/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 2.3308e-04 - mae: 0.0111 - val_loss: 0.0010 - val_mae: 0.0181 - learning_rate: 2.5000e-04\n", "Epoch 25/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 2.2445e-04 - mae: 0.0110 - val_loss: 0.0010 - val_mae: 0.0179 - learning_rate: 1.2500e-04\n", "Epoch 26/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 2.2335e-04 - mae: 0.0109 - val_loss: 0.0010 - val_mae: 0.0179 - learning_rate: 1.2500e-04\n", "Epoch 27/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 5ms/step - loss: 2.2217e-04 - mae: 0.0109 - val_loss: 0.0010 - val_mae: 0.0179 - learning_rate: 1.2500e-04\n", "Epoch 28/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 2.1840e-04 - mae: 0.0108 - val_loss: 0.0010 - val_mae: 0.0177 - learning_rate: 6.2500e-05\n", "Epoch 29/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 7ms/step - loss: 2.1827e-04 - mae: 0.0108 - val_loss: 0.0010 - val_mae: 0.0177 - learning_rate: 6.2500e-05\n", "Epoch 30/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 6ms/step - loss: 2.1737e-04 - mae: 0.0108 - val_loss: 0.0010 - val_mae: 0.0177 - learning_rate: 6.2500e-05\n" ] } ], "source": [ "# call backs\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_PATCHTST_S.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training\n", "history_patchtst_model_s = patchtst_model_s.fit(\n", " X_train_seq_s,\n", " y_train_seq_s,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "SXMydXp2qtov", "outputId": "cfeb6065-8be4-46ba-f7cf-4e0c29a38183" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# PatchTST with sentiment training and validation loss\n", "plot_history(history_patchtst_model_s, \"PatchTST_Sentiment\")" ] }, { "cell_type": "markdown", "source": [ "PatchTST predicting and inverse transform" ], "metadata": { "id": "P42MusBdqz2d" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "A7UV4_MIqtst", "outputId": "e455a606-32af-475b-e2e1-eef70de57772" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 31ms/step\n" ] } ], "source": [ "patchtst_s_predictions, target_test_actual_s = predict_and_inverse_scale(\n", " patchtst_model_s,\n", " X_test_seq_s,\n", " y_test_seq_s,\n", " target_scaler_s\n", ")\n" ] }, { "cell_type": "markdown", "source": [ "Results and plot actual and predicted values" ], "metadata": { "id": "gMu05HPZqqQH" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "jyw8oD3Ire68", "outputId": "5281fffc-ce8a-44e4-c6ae-2ddc262e3aa0" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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Actual VolatilityPatchTST_Sentiment Predicted Volatility
Date
2021-02-030.1693170.164972
2021-02-040.1687030.152983
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2021-02-080.1617440.159810
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Model: \"functional_41\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mConnected to \u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n", "│ input_layer_41 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m28\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ - │\n", "│ (\u001b[38;5;33mInputLayer\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ lstm_45 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m80,384\u001b[0m │ input_layer_41[\u001b[38;5;34m0\u001b[0m… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_142 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ lstm_45[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dropout_128 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_142[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_143 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ dropout_128[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_144 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ lstm_45[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ multiply_8 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_143[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", "│ (\u001b[38;5;33mMultiply\u001b[0m) │ │ │ dense_144[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ add_22 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ lstm_45[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", "│ │ │ │ multiply_8[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ layer_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │ add_22[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mLayerNormalizatio…\u001b[0m │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ multi_head_attenti… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m66,048\u001b[0m │ layer_normalizat… │\n", "│ (\u001b[38;5;33mMultiHeadAttentio…\u001b[0m │ │ │ layer_normalizat… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dropout_130 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ multi_head_atten… │\n", "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ add_23 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ layer_normalizat… │\n", "│ │ │ │ dropout_130[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ layer_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │ add_23[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mLayerNormalizatio…\u001b[0m │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_145 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ layer_normalizat… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dropout_131 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_145[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_146 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ dropout_131[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_147 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m16,512\u001b[0m │ layer_normalizat… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ multiply_9 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_146[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m], │\n", "│ (\u001b[38;5;33mMultiply\u001b[0m) │ │ │ dense_147[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ add_24 (\u001b[38;5;33mAdd\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ layer_normalizat… │\n", "│ │ │ │ multiply_9[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ layer_normalizatio… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m256\u001b[0m │ add_24[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mLayerNormalizatio…\u001b[0m │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ global_average_poo… │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m128\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ layer_normalizat… │\n", "│ (\u001b[38;5;33mGlobalAveragePool…\u001b[0m │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_148 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m4,128\u001b[0m │ global_average_p… │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dropout_132 │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │ dense_148[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "│ (\u001b[38;5;33mDropout\u001b[0m) │ │ │ │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_149 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m16\u001b[0m) │ \u001b[38;5;34m528\u001b[0m │ dropout_132[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n", "│ dense_150 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m17\u001b[0m │ dense_149[\u001b[38;5;34m0\u001b[0m][\u001b[38;5;34m0\u001b[0m] │\n", "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)        ┃ Output Shape      ┃    Param # ┃ Connected to      ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━┩\n",
              "│ input_layer_41      │ (None, 21, 28)    │          0 │ -                 │\n",
              "│ (InputLayer)        │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ lstm_45 (LSTM)      │ (None, 21, 128)   │     80,384 │ input_layer_41[0… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_142 (Dense)   │ (None, 21, 128)   │     16,512 │ lstm_45[0][0]     │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dropout_128         │ (None, 21, 128)   │          0 │ dense_142[0][0]   │\n",
              "│ (Dropout)           │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_143 (Dense)   │ (None, 21, 128)   │     16,512 │ dropout_128[0][0] │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_144 (Dense)   │ (None, 21, 128)   │     16,512 │ lstm_45[0][0]     │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ multiply_8          │ (None, 21, 128)   │          0 │ dense_143[0][0],  │\n",
              "│ (Multiply)          │                   │            │ dense_144[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_22 (Add)        │ (None, 21, 128)   │          0 │ lstm_45[0][0],    │\n",
              "│                     │                   │            │ multiply_8[0][0]  │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 21, 128)   │        256 │ add_22[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ multi_head_attenti… │ (None, 21, 128)   │     66,048 │ layer_normalizat… │\n",
              "│ (MultiHeadAttentio… │                   │            │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dropout_130         │ (None, 21, 128)   │          0 │ multi_head_atten… │\n",
              "│ (Dropout)           │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_23 (Add)        │ (None, 21, 128)   │          0 │ layer_normalizat… │\n",
              "│                     │                   │            │ dropout_130[0][0] │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 21, 128)   │        256 │ add_23[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_145 (Dense)   │ (None, 21, 128)   │     16,512 │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dropout_131         │ (None, 21, 128)   │          0 │ dense_145[0][0]   │\n",
              "│ (Dropout)           │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_146 (Dense)   │ (None, 21, 128)   │     16,512 │ dropout_131[0][0] │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_147 (Dense)   │ (None, 21, 128)   │     16,512 │ layer_normalizat… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ multiply_9          │ (None, 21, 128)   │          0 │ dense_146[0][0],  │\n",
              "│ (Multiply)          │                   │            │ dense_147[0][0]   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ add_24 (Add)        │ (None, 21, 128)   │          0 │ layer_normalizat… │\n",
              "│                     │                   │            │ multiply_9[0][0]  │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ layer_normalizatio… │ (None, 21, 128)   │        256 │ add_24[0][0]      │\n",
              "│ (LayerNormalizatio… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ global_average_poo… │ (None, 128)       │          0 │ layer_normalizat… │\n",
              "│ (GlobalAveragePool… │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_148 (Dense)   │ (None, 32)        │      4,128 │ global_average_p… │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dropout_132         │ (None, 32)        │          0 │ dense_148[0][0]   │\n",
              "│ (Dropout)           │                   │            │                   │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_149 (Dense)   │ (None, 16)        │        528 │ dropout_132[0][0] │\n",
              "├─────────────────────┼───────────────────┼────────────┼───────────────────┤\n",
              "│ dense_150 (Dense)   │ (None, 1)         │         17 │ dense_149[0][0]   │\n",
              "└─────────────────────┴───────────────────┴────────────┴───────────────────┘\n",
              "
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              "
\n" ] }, "metadata": {} } ], "source": [ "# installing TFT sentiment model with input shape (21,28)\n", "tf.keras.utils.set_random_seed(42)\n", "tft_model_s = build_tft_model(\n", " input_shape=(X_train_seq_s.shape[1], X_train_seq_s.shape[2])\n", ")\n", "\n", "tft_model_s.summary()" ] }, { "cell_type": "markdown", "source": [ "Compile TFT setniment model" ], "metadata": { "id": "rpvB5B1Ck_e7" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "eXgY7jhVK2pV" }, "outputs": [], "source": [ "# compiling TFT model with adam optimiser\n", "tft_model_s.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "Call backs and training TFT sentiment model" ], "metadata": { "id": "vJp8Hjisp5la" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Pqu2pPjzK2u1", "outputId": "7d5290b9-a029-494c-b7a1-e7d4b6344f27" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m9s\u001b[0m 27ms/step - loss: 0.0251 - mae: 0.0967 - val_loss: 0.0252 - val_mae: 0.1040 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0052 - mae: 0.0490 - val_loss: 0.0098 - val_mae: 0.0522 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0037 - mae: 0.0401 - val_loss: 0.0096 - val_mae: 0.0625 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0032 - mae: 0.0393 - val_loss: 0.0060 - val_mae: 0.0401 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - loss: 0.0029 - mae: 0.0365 - val_loss: 0.0029 - val_mae: 0.0297 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 31ms/step - loss: 0.0022 - mae: 0.0321 - val_loss: 0.0019 - val_mae: 0.0301 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 24ms/step - loss: 0.0021 - mae: 0.0313 - val_loss: 0.0035 - val_mae: 0.0358 - learning_rate: 0.0010\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0022 - mae: 0.0321 - val_loss: 0.0018 - val_mae: 0.0241 - learning_rate: 0.0010\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0021 - mae: 0.0320 - val_loss: 0.0035 - val_mae: 0.0383 - learning_rate: 0.0010\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0019 - mae: 0.0300 - val_loss: 0.0035 - val_mae: 0.0384 - learning_rate: 0.0010\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0019 - mae: 0.0283 - val_loss: 0.0033 - val_mae: 0.0352 - learning_rate: 0.0010\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - loss: 0.0015 - mae: 0.0265 - val_loss: 0.0051 - val_mae: 0.0458 - learning_rate: 5.0000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0016 - mae: 0.0269 - val_loss: 0.0057 - val_mae: 0.0514 - learning_rate: 5.0000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 30ms/step - loss: 0.0016 - mae: 0.0272 - val_loss: 0.0046 - val_mae: 0.0370 - learning_rate: 5.0000e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 30ms/step - loss: 0.0016 - mae: 0.0265 - val_loss: 0.0035 - val_mae: 0.0312 - learning_rate: 2.5000e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 18ms/step - loss: 0.0015 - mae: 0.0248 - val_loss: 0.0031 - val_mae: 0.0306 - learning_rate: 2.5000e-04\n" ] } ], "source": [ "# call backs\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_TFT_S.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "\n", "# training\n", "history_tft_model_s = tft_model_s.fit(\n", " X_train_seq_s,\n", " y_train_seq_s,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "E-xG_UhjK2yo", "outputId": "30ebeb12-da6a-4e25-f5e7-4ab26edc9a63" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# TFT with sentiment training and validation loss\n", "plot_history(history_tft_model_s, \"TFT_Sentiment\")" ] }, { "cell_type": "markdown", "source": [ "Predcting by TFT sentiment model and inverse tranform them" ], "metadata": { "id": "Pa23uBUgqP2l" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "AyF0GM8nK240", "outputId": "2a294f47-fb62-4d81-e8c1-666d4643d820" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step\n" ] } ], "source": [ "TFT_s_predictions, target_test_actual_s = predict_and_inverse_scale(\n", " tft_model_s,\n", " X_test_seq_s,\n", " y_test_seq_s,\n", " target_scaler_s\n", ")\n", "\n" ] }, { "cell_type": "markdown", "source": [ "Results and plotting actual and predicted values" ], "metadata": { "id": "4P1QN8oVqaau" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "GCrRz7nSK28H", "outputId": "e8489fe5-fa1c-4915-e9bb-f9f06547512e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [ " Actual Volatility TFT_Sentiment Predicted Volatility\n", "Date \n", "2021-02-03 0.169317 0.187353\n", "2021-02-04 0.168703 0.186270\n", "2021-02-05 0.162807 0.183785\n", "2021-02-08 0.161744 0.184634\n", "2021-02-09 0.160136 0.184773" ], "text/html": [ "\n", "
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Actual VolatilityTFT_Sentiment Predicted Volatility
Date
2021-02-030.1693170.187353
2021-02-040.1687030.186270
2021-02-050.1628070.183785
2021-02-080.1617440.184634
2021-02-090.1601360.184773
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "TFT_s_results", "summary": "{\n \"name\": \"TFT_s_results\",\n \"rows\": 773,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2021-02-03 00:00:00\",\n \"max\": \"2024-02-29 00:00:00\",\n \"num_unique_values\": 773,\n \"samples\": [\n \"2022-07-14 00:00:00\",\n \"2023-10-16 00:00:00\",\n \"2023-02-21 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Actual Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06338538102384665,\n \"min\": 0.06803955684916459,\n \"max\": 0.3489603286420088,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.22844653419723016,\n 0.12527449320834527,\n 0.1586309742806594\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"TFT_Sentiment Predicted Volatility\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 773,\n \"samples\": [\n 0.2705897390842438,\n 0.17942410707473755,\n 0.16725966334342957\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 490 } ], "source": [ "# create results and plot actual and predicted values\n", "TFT_s_results = create_results_and_plot(\n", " model_name=\"TFT_Sentiment\",\n", " predictions=TFT_s_predictions,\n", " actual=target_test_actual_s,\n", " y_test=y_test_s,\n", " lookback=lookback\n", ")\n", "\n", "TFT_s_results.head()" ] }, { "cell_type": "markdown", "metadata": { "id": "MI3nL8v1j4rb" }, "source": [ "## CNN-LSTM with sentiment" ] }, { "cell_type": "markdown", "source": [ "Installing CNN-LSTM sentiment model" ], "metadata": { "id": "VHbL6O2EUVT9" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 423 }, "id": "ogm55KVOch2o", "outputId": "8e709679-9417-4536-cd67-9e43fbc82aaa" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"sequential_32\"\u001b[0m\n" ], "text/html": [ "
Model: \"sequential_32\"\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n", "┃\u001b[1m \u001b[0m\u001b[1mLayer (type) \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1mOutput Shape \u001b[0m\u001b[1m \u001b[0m┃\u001b[1m \u001b[0m\u001b[1m Param #\u001b[0m\u001b[1m \u001b[0m┃\n", "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n", "│ conv1d_38 (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m3,648\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ conv1d_39 (\u001b[38;5;33mConv1D\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m8,256\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_133 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ lstm_46 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m21\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m33,024\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ lstm_47 (\u001b[38;5;33mLSTM\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m12,416\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_134 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m32\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_151 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m2,112\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dropout_135 (\u001b[38;5;33mDropout\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m64\u001b[0m) │ \u001b[38;5;34m0\u001b[0m │\n", "├─────────────────────────────────┼────────────────────────┼───────────────┤\n", "│ dense_152 (\u001b[38;5;33mDense\u001b[0m) │ (\u001b[38;5;45mNone\u001b[0m, \u001b[38;5;34m1\u001b[0m) │ \u001b[38;5;34m65\u001b[0m │\n", "└─────────────────────────────────┴────────────────────────┴───────────────┘\n" ], "text/html": [ "
┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ conv1d_38 (Conv1D)              │ (None, 21, 64)         │         3,648 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ conv1d_39 (Conv1D)              │ (None, 21, 64)         │         8,256 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_133 (Dropout)           │ (None, 21, 64)         │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ lstm_46 (LSTM)                  │ (None, 21, 64)         │        33,024 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ lstm_47 (LSTM)                  │ (None, 32)             │        12,416 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_134 (Dropout)           │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_151 (Dense)               │ (None, 64)             │         2,112 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_135 (Dropout)           │ (None, 64)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_152 (Dense)               │ (None, 1)              │            65 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
\n" ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1m Total params: \u001b[0m\u001b[38;5;34m59,521\u001b[0m (232.50 KB)\n" ], "text/html": [ "
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              "
\n" ] }, "metadata": {} } ], "source": [ "# installing CNN-LSTM sentiment model with input shape (21,28)\n", "tf.keras.utils.set_random_seed(42)\n", "cnn_lstm_model_s = build_cnn_lstm_model(\n", " input_shape=(X_train_seq_s.shape[1], X_train_seq_s.shape[2])\n", "\n", ")\n", "\n", "cnn_lstm_model_s.summary()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "7wTbsfk-ch5m" }, "outputs": [], "source": [ "\n", "cnn_lstm_model_s.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "KdZhigMQch_P", "outputId": "b273cc10-3a92-4998-e8ea-64d081481dc3" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 18ms/step - loss: 0.0059 - mae: 0.0499 - val_loss: 0.0037 - val_mae: 0.0368 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0029 - mae: 0.0358 - val_loss: 0.0066 - val_mae: 0.0610 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0027 - mae: 0.0334 - val_loss: 0.0021 - val_mae: 0.0313 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0017 - mae: 0.0269 - val_loss: 9.6233e-04 - val_mae: 0.0226 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 0.0018 - mae: 0.0273 - val_loss: 0.0026 - val_mae: 0.0371 - learning_rate: 0.0010\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0018 - mae: 0.0277 - val_loss: 8.7125e-04 - val_mae: 0.0208 - learning_rate: 0.0010\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0015 - mae: 0.0248 - val_loss: 0.0016 - val_mae: 0.0271 - learning_rate: 0.0010\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0012 - mae: 0.0224 - val_loss: 9.8127e-04 - val_mae: 0.0200 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0011 - mae: 0.0218 - val_loss: 0.0016 - val_mae: 0.0252 - learning_rate: 5.0000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0012 - mae: 0.0212 - val_loss: 8.7453e-04 - val_mae: 0.0208 - learning_rate: 5.0000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0011 - mae: 0.0205 - val_loss: 6.8653e-04 - val_mae: 0.0182 - learning_rate: 2.5000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0010 - mae: 0.0199 - val_loss: 9.2156e-04 - val_mae: 0.0209 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0010 - mae: 0.0198 - val_loss: 0.0010 - val_mae: 0.0197 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 9.1093e-04 - mae: 0.0197 - val_loss: 7.7487e-04 - val_mae: 0.0194 - learning_rate: 2.5000e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 15ms/step - loss: 0.0011 - mae: 0.0200 - val_loss: 0.0012 - val_mae: 0.0208 - learning_rate: 1.2500e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 21ms/step - loss: 0.0011 - mae: 0.0195 - val_loss: 0.0011 - val_mae: 0.0217 - learning_rate: 1.2500e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 20ms/step - loss: 9.5582e-04 - mae: 0.0192 - val_loss: 9.2877e-04 - val_mae: 0.0202 - learning_rate: 1.2500e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step - loss: 9.6250e-04 - mae: 0.0191 - val_loss: 9.5269e-04 - val_mae: 0.0208 - learning_rate: 6.2500e-05\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 13ms/step - loss: 9.4560e-04 - mae: 0.0187 - val_loss: 8.3517e-04 - val_mae: 0.0194 - learning_rate: 6.2500e-05\n" ] } ], "source": [ "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_CNN_LSTM_S.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "\n", "history_cnn_lstm_s = cnn_lstm_model_s.fit(\n", " X_train_seq_s,\n", " y_train_seq_s,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "3LajZVUsciDV", "outputId": "a654287e-7802-4812-b305-cda022ce59dd" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# TFT with sentiment training and validation loss\n", "plot_history(history_cnn_lstm_s, \"cnn-lstm_Sentiment\")" ] }, { "cell_type": "markdown", "source": [ "prediction of CNN-LSTM sentiment model" ], "metadata": { "id": "PS5NyQ7ZPCRz" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "Tk0TsMFVciIh", "outputId": "4bc3af9a-a4b2-4430-bd7a-a9b4321f6d5d" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step\n" ] } ], "source": [ "cnn_lstm_s_predictions, target_test_actual_s = predict_and_inverse_scale(\n", " cnn_lstm_model_s,\n", " X_test_seq_s,\n", " y_test_seq_s,\n", " target_scaler_s\n", ")\n", "\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "IJrRY5cWciMm", "outputId": "0b5f6044-06e7-4966-eead-79a1dbc13a8c" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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Actual VolatilityCNN-LSTM_Sentiment Predicted Volatility
Date
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2021-02-040.1687030.181137
2021-02-050.1628070.177706
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "cnn_lstm_s_results", "summary": "{\n \"name\": \"cnn_lstm_s_results\",\n \"rows\": 773,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2021-02-03 00:00:00\",\n \"max\": \"2024-02-29 00:00:00\",\n \"num_unique_values\": 773,\n \"samples\": [\n \"2022-07-14 00:00:00\",\n \"2023-10-16 00:00:00\",\n \"2023-02-21 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Actual Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06338538102384665,\n \"min\": 0.06803955684916459,\n \"max\": 0.3489603286420088,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.22844653419723016,\n 0.12527449320834527,\n 0.1586309742806594\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"CNN-LSTM_Sentiment Predicted Volatility\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 773,\n \"samples\": [\n 0.28258955478668213,\n 0.20855200290679932,\n 0.18670165538787842\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 496 } ], "source": [ "cnn_lstm_s_results = create_results_and_plot(\n", " model_name=\"CNN-LSTM_Sentiment\",\n", " predictions=cnn_lstm_s_predictions,\n", " actual=target_test_actual_s,\n", " y_test=y_test_s,\n", " lookback=lookback\n", ")\n", "\n", "cnn_lstm_s_results.head()" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "WVWUIfmRcjPO" }, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": { "id": "gk_WpKqvj4vP" }, "source": [ "## GARCH-LSTM with sentiment" ] }, { "cell_type": "markdown", "source": [ "Installing GARCH-LSTM sentiment model" ], "metadata": { "id": "gvZmkcpQUmI6" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 445 }, "id": "xvu4B6zNRc1o", "outputId": "39dfa456-3cca-432a-942c-c2713b26556c" }, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.13/dist-packages/keras/src/layers/rnn/rnn.py:199: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.\n", " super().__init__(**kwargs)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "\u001b[1mModel: \"sequential_33\"\u001b[0m\n" ], "text/html": [ "
Model: \"sequential_33\"\n",
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ lstm_48 (LSTM)                  │ (None, 21, 128)        │        80,896 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_136 (Dropout)           │ (None, 21, 128)        │             0 │\n",
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              "│ lstm_49 (LSTM)                  │ (None, 64)             │        49,408 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_137 (Dropout)           │ (None, 64)             │             0 │\n",
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              "│ dense_153 (Dense)               │ (None, 64)             │         4,160 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_154 (Dense)               │ (None, 32)             │         2,080 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_155 (Dense)               │ (None, 16)             │           528 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_156 (Dense)               │ (None, 1)              │            17 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
              "
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\n" ] }, "metadata": {} } ], "source": [ "# installing GARCH-LSTM model with input shape(21,29)\n", "tf.keras.utils.set_random_seed(42)\n", "garch_lstm_model_s = build_garch_lstm_model(\n", " input_shape=(gls_X_train_seq.shape[1], gls_X_train_seq.shape[2])\n", "\n", ")\n", "\n", "garch_lstm_model_s.summary()" ] }, { "cell_type": "markdown", "source": [ "Compilling GARCH-LSTM sentiment model" ], "metadata": { "id": "XJ3npWr_a4sb" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "H_WwXAVUYiB6" }, "outputs": [], "source": [ "# compilling GARCH-LSTM model with adam optimiser\n", "garch_lstm_model_s.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "Call backs and training GARCH-LSTM sentiment model" ], "metadata": { "id": "4eCvoicIjmCS" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "M1bM1FlyYiFy", "outputId": "11137967-3c17-48ee-bcac-f6c693a86c0b" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 17ms/step - loss: 0.0279 - mae: 0.1015 - val_loss: 0.0063 - val_mae: 0.0502 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0035 - mae: 0.0438 - val_loss: 0.0093 - val_mae: 0.0776 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0033 - mae: 0.0424 - val_loss: 0.0103 - val_mae: 0.0840 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0031 - mae: 0.0405 - val_loss: 0.0091 - val_mae: 0.0790 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0028 - mae: 0.0387 - val_loss: 0.0060 - val_mae: 0.0609 - learning_rate: 5.0000e-04\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step - loss: 0.0024 - mae: 0.0351 - val_loss: 0.0068 - val_mae: 0.0682 - learning_rate: 5.0000e-04\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 12ms/step - loss: 0.0022 - mae: 0.0342 - val_loss: 0.0067 - val_mae: 0.0687 - learning_rate: 5.0000e-04\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0020 - mae: 0.0329 - val_loss: 0.0052 - val_mae: 0.0584 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0019 - mae: 0.0315 - val_loss: 0.0066 - val_mae: 0.0708 - learning_rate: 5.0000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0018 - mae: 0.0312 - val_loss: 0.0060 - val_mae: 0.0664 - learning_rate: 5.0000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0017 - mae: 0.0294 - val_loss: 0.0060 - val_mae: 0.0672 - learning_rate: 5.0000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0016 - mae: 0.0288 - val_loss: 0.0056 - val_mae: 0.0648 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0015 - mae: 0.0280 - val_loss: 0.0056 - val_mae: 0.0651 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0014 - mae: 0.0277 - val_loss: 0.0051 - val_mae: 0.0623 - learning_rate: 2.5000e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0015 - mae: 0.0276 - val_loss: 0.0039 - val_mae: 0.0521 - learning_rate: 1.2500e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0014 - mae: 0.0263 - val_loss: 0.0047 - val_mae: 0.0590 - learning_rate: 1.2500e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 16ms/step - loss: 0.0014 - mae: 0.0263 - val_loss: 0.0048 - val_mae: 0.0602 - learning_rate: 1.2500e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 17ms/step - loss: 0.0013 - mae: 0.0261 - val_loss: 0.0048 - val_mae: 0.0597 - learning_rate: 1.2500e-04\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 42ms/step - loss: 0.0013 - mae: 0.0259 - val_loss: 0.0044 - val_mae: 0.0569 - learning_rate: 6.2500e-05\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m3s\u001b[0m 12ms/step - loss: 0.0013 - mae: 0.0256 - val_loss: 0.0049 - val_mae: 0.0605 - learning_rate: 6.2500e-05\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0012 - mae: 0.0250 - val_loss: 0.0048 - val_mae: 0.0603 - learning_rate: 6.2500e-05\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0013 - mae: 0.0256 - val_loss: 0.0050 - val_mae: 0.0619 - learning_rate: 3.1250e-05\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0012 - mae: 0.0252 - val_loss: 0.0050 - val_mae: 0.0619 - learning_rate: 3.1250e-05\n" ] } ], "source": [ "# callbacks\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_GARCH_LSTM_S.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training\n", "history_garch_lstm_model_s = garch_lstm_model_s.fit(\n", " gls_X_train_seq,\n", " gls_y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "HFOfrDzQYiJv", "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "outputId": "6ab80fb3-7b38-466f-b2fa-e89759c96249" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# GARCH-LSTM with sentiment training and validation loss\n", "plot_history(history_garch_lstm_model_s, \"GARCH-LSTM_Sentiment\")" ] }, { "cell_type": "markdown", "source": [ "GARCH-LSTM sentiment prediction" ], "metadata": { "id": "bkivDrYMkyaf" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "C4dqSMPVYiNs", "outputId": "0e959f53-1916-490b-da1a-8f49a5e5788b" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m0s\u001b[0m 11ms/step\n" ] } ], "source": [ "# GARCH-LSTM sentiment model predicting scaled residuals on test data\n", "scaled_residuals_predictions_gls = garch_lstm_model_s.predict(gls_X_test_seq)\n", "\n", "# inverse tranform the scaled residuals\n", "unscaled_residuals_predictions_gls = gls_res_scaler.inverse_transform(scaled_residuals_predictions_gls)\n", "\n", "# aligning GARCH volatility with test period\n", "garch_vol_component_aligned_gls = gls_gv_test.iloc[lookback:].values.reshape(-1, 1)\n", "\n", "# combining GARCH volatility with predicted residuals to get final GARCH-LSTM sentiment volatility predictions\n", "garch_lstm_model_s_predictions = garch_vol_component_aligned_gls + unscaled_residuals_predictions_gls\n", "\n", "# aligning actual test targets to the same prediction period\n", "target_test_actual_gls = y_test_s_garch.iloc[lookback:].values.reshape(-1, 1)\n" ] }, { "cell_type": "markdown", "source": [ "Results and plotting actual and predicted volatility" ], "metadata": { "id": "ZF2IswEEk428" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "id": "5mu7ZyguZjWj", "outputId": "bc762efd-c48f-45e4-86b1-a8e6db82bac4" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" 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Actual VolatilityGARCH-LSTM_Sentiment Predicted Volatility
Date
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2021-02-040.1687030.136192
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Model: \"sequential_34\"\n",
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┏━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━┓\n",
              "┃ Layer (type)                    ┃ Output Shape           ┃       Param # ┃\n",
              "┡━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━┩\n",
              "│ gru_23 (GRU)                    │ (None, 21, 128)        │        61,056 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_138 (Dropout)           │ (None, 21, 128)        │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ gru_24 (GRU)                    │ (None, 32)             │        15,552 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dropout_139 (Dropout)           │ (None, 32)             │             0 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_157 (Dense)               │ (None, 32)             │         1,056 │\n",
              "├─────────────────────────────────┼────────────────────────┼───────────────┤\n",
              "│ dense_158 (Dense)               │ (None, 16)             │           528 │\n",
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              "│ dense_159 (Dense)               │ (None, 1)              │            17 │\n",
              "└─────────────────────────────────┴────────────────────────┴───────────────┘\n",
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 Total params: 78,209 (305.50 KB)\n",
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\n" ] }, "metadata": {} } ], "source": [ "# installing GARCH-GRU model with input shape (21,29)\n", "tf.keras.utils.set_random_seed(42)\n", "garch_gru_model_s = build_garch_gru_model(\n", " input_shape=(gls_X_train_seq.shape[1], gls_X_train_seq.shape[2])\n", ")\n", "\n", "garch_gru_model_s.summary()\n" ] }, { "cell_type": "markdown", "source": [ "compiling GARCH-GRU model" ], "metadata": { "id": "uJGxWtkvVe_B" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "i3UzW_GpbG6E" }, "outputs": [], "source": [ "# compiling GARCH-GRU model with adam optimiser\n", "garch_gru_model_s.compile(\n", " optimizer=Adam(learning_rate=0.001),\n", " loss=\"mse\",\n", " metrics=[\"mae\"]\n", ")" ] }, { "cell_type": "markdown", "source": [ "call backs and training GARCH-GRU sentiment model" ], "metadata": { "id": "MhNVHvPEVsHz" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "sM9roeU2bPvq", "outputId": "745279d8-adc1-4cc8-b745-83a967d08eb9" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Epoch 1/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m4s\u001b[0m 20ms/step - loss: 0.0213 - mae: 0.0942 - val_loss: 0.0086 - val_mae: 0.0752 - learning_rate: 0.0010\n", "Epoch 2/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 18ms/step - loss: 0.0042 - mae: 0.0495 - val_loss: 0.0109 - val_mae: 0.0893 - learning_rate: 0.0010\n", "Epoch 3/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0033 - mae: 0.0438 - val_loss: 0.0099 - val_mae: 0.0874 - learning_rate: 0.0010\n", "Epoch 4/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 11ms/step - loss: 0.0028 - mae: 0.0402 - val_loss: 0.0134 - val_mae: 0.1079 - learning_rate: 0.0010\n", "Epoch 5/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0025 - mae: 0.0379 - val_loss: 0.0070 - val_mae: 0.0743 - learning_rate: 5.0000e-04\n", "Epoch 6/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0020 - mae: 0.0338 - val_loss: 0.0074 - val_mae: 0.0772 - learning_rate: 5.0000e-04\n", "Epoch 7/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0019 - mae: 0.0328 - val_loss: 0.0078 - val_mae: 0.0812 - learning_rate: 5.0000e-04\n", "Epoch 8/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0018 - mae: 0.0317 - val_loss: 0.0075 - val_mae: 0.0796 - learning_rate: 5.0000e-04\n", "Epoch 9/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0016 - mae: 0.0298 - val_loss: 0.0073 - val_mae: 0.0791 - learning_rate: 2.5000e-04\n", "Epoch 10/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0015 - mae: 0.0292 - val_loss: 0.0050 - val_mae: 0.0642 - learning_rate: 2.5000e-04\n", "Epoch 11/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0015 - mae: 0.0288 - val_loss: 0.0051 - val_mae: 0.0650 - learning_rate: 2.5000e-04\n", "Epoch 12/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0015 - mae: 0.0286 - val_loss: 0.0053 - val_mae: 0.0667 - learning_rate: 2.5000e-04\n", "Epoch 13/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 15ms/step - loss: 0.0014 - mae: 0.0276 - val_loss: 0.0059 - val_mae: 0.0707 - learning_rate: 2.5000e-04\n", "Epoch 14/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0014 - mae: 0.0272 - val_loss: 0.0051 - val_mae: 0.0647 - learning_rate: 1.2500e-04\n", "Epoch 15/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m2s\u001b[0m 19ms/step - loss: 0.0013 - mae: 0.0268 - val_loss: 0.0048 - val_mae: 0.0626 - learning_rate: 1.2500e-04\n", "Epoch 16/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0013 - mae: 0.0265 - val_loss: 0.0052 - val_mae: 0.0655 - learning_rate: 1.2500e-04\n", "Epoch 17/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0013 - mae: 0.0265 - val_loss: 0.0049 - val_mae: 0.0637 - learning_rate: 1.2500e-04\n", "Epoch 18/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 12ms/step - loss: 0.0013 - mae: 0.0266 - val_loss: 0.0041 - val_mae: 0.0571 - learning_rate: 1.2500e-04\n", "Epoch 19/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0012 - mae: 0.0257 - val_loss: 0.0045 - val_mae: 0.0605 - learning_rate: 1.2500e-04\n", "Epoch 20/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0012 - mae: 0.0260 - val_loss: 0.0050 - val_mae: 0.0643 - learning_rate: 1.2500e-04\n", "Epoch 21/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0012 - mae: 0.0259 - val_loss: 0.0046 - val_mae: 0.0611 - learning_rate: 1.2500e-04\n", "Epoch 22/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0011 - mae: 0.0250 - val_loss: 0.0046 - val_mae: 0.0613 - learning_rate: 6.2500e-05\n", "Epoch 23/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0011 - mae: 0.0243 - val_loss: 0.0045 - val_mae: 0.0607 - learning_rate: 6.2500e-05\n", "Epoch 24/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0012 - mae: 0.0255 - val_loss: 0.0043 - val_mae: 0.0588 - learning_rate: 6.2500e-05\n", "Epoch 25/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0011 - mae: 0.0251 - val_loss: 0.0048 - val_mae: 0.0629 - learning_rate: 3.1250e-05\n", "Epoch 26/30\n", "\u001b[1m80/80\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 11ms/step - loss: 0.0011 - mae: 0.0247 - val_loss: 0.0048 - val_mae: 0.0634 - learning_rate: 3.1250e-05\n" ] } ], "source": [ "# call backs\n", "callbacks = [\n", " EarlyStopping(patience=8, restore_best_weights=True), #stop training early if validation loss does not improve for 8 epoches\n", " ReduceLROnPlateau(patience=3, factor=0.5), #reduce learning rate by half if validation loss does not change for 3 epoches,\n", " ModelCheckpoint(\"best_model_GARCH_GRU_S.keras\", save_best_only=True) #save the best model based on validation performance,\n", "]\n", "\n", "# training GARCH-GRU sentiment model\n", "history_garch_gru_model_s = garch_gru_model_s.fit(\n", " gls_X_train_seq,\n", " gls_y_train_seq,\n", " validation_split=0.2,\n", " epochs=30,\n", " batch_size=32,\n", " callbacks=callbacks,\n", " verbose=1\n", ")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "gyg_55rIbWNz", "outputId": "a4dca1f4-91b6-4f32-f6a8-becb9709ed3d" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# GARCH-GRU with sentiment training and validation loss\n", "plot_history(history_garch_gru_model_s, \"GARCH-GRU_Sentiment\")\n" ] }, { "cell_type": "markdown", "source": [ "GARCH-GRU sentiment predictions" ], "metadata": { "id": "R1pG1hrcZpm0" } }, { "cell_type": "code", "execution_count": null, "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "7AMABE6pbeTz", "outputId": "336f81af-d918-43c1-89bc-c2464ccfb503" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[1m25/25\u001b[0m \u001b[32m━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[37m\u001b[0m \u001b[1m1s\u001b[0m 14ms/step\n", "garch_gru Sentiment Predictions: [[0.14120866]\n", " [0.13281835]\n", " [0.13492562]\n", " [0.12979025]\n", " [0.12675031]\n", " [0.12367741]\n", " [0.1182703 ]\n", " [0.11076135]\n", " [0.10420589]\n", " [0.09809745]\n", " [0.09471238]\n", " [0.09184284]\n", " [0.08856224]\n", " [0.09246488]\n", " [0.0729469 ]\n", " [0.07637428]\n", " [0.13272797]\n", " [0.11488261]\n", " [0.14757765]\n", " [0.13982514]\n", " [0.14361734]\n", " [0.14118238]\n", " [0.14893229]\n", " [0.14042788]\n", " [0.14700014]\n", " [0.1411899 ]\n", " [0.14116178]\n", " [0.13494379]\n", " [0.13116254]\n", " [0.12907049]\n", " [0.1234037 ]\n", " [0.14218673]\n", " [0.13106423]\n", " [0.12367172]\n", " [0.12185934]\n", " [0.11751029]\n", " [0.10682033]\n", " [0.12305487]\n", " [0.11262893]\n", " [0.10884695]\n", " [0.09916502]\n", " [0.10444042]\n", " [0.11218051]\n", " [0.1048495 ]\n", " [0.09768544]\n", " [0.09169565]\n", " [0.08903395]\n", " [0.08496473]\n", " [0.07983159]\n", " [0.07852774]\n", " [0.08621786]\n", " [0.07733867]\n", " [0.07470057]\n", " [0.07558845]\n", " [0.07503104]\n", " [0.07874452]\n", " [0.07947856]\n", " [0.07153034]\n", " [0.06862725]\n", " [0.06738392]\n", " [0.0630426 ]\n", " [0.0665303 ]\n", " [0.05859447]\n", " [0.0584396 ]\n", " [0.04938634]\n", " [0.04754438]\n", " [0.04720816]\n", " [0.06209558]\n", " [0.066998 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[0.04796801]\n", " [0.04763308]\n", " [0.04719369]\n", " [0.05066535]\n", " [0.04946738]\n", " [0.08787411]\n", " [0.09037124]\n", " [0.08719893]\n", " [0.08137919]\n", " [0.07558556]\n", " [0.07574132]\n", " [0.06806123]\n", " [0.06472802]\n", " [0.06132516]\n", " [0.08704049]\n", " [0.0856799 ]\n", " [0.07742124]\n", " [0.07430772]\n", " [0.07493742]\n", " [0.06820163]\n", " [0.11392623]\n", " [0.1016922 ]\n", " [0.09715924]\n", " [0.08901564]\n", " [0.08351739]]\n" ] } ], "source": [ "# GARCH-GRU sentiment model predicting scaled residuals on test data\n", "scaled_residuals_predictions_ggs = garch_gru_model_s.predict(gls_X_test_seq)\n", "\n", "# inverse tranform the scaled residuals\n", "unscaled_residuals_predictions_ggs = gls_res_scaler.inverse_transform(scaled_residuals_predictions_ggs)\n", "\n", "# aligning GARCH volatility with test period\n", "garch_vol_component_aligned_ggs = gls_gv_test.iloc[lookback:].values.reshape(-1, 1)\n", "\n", "# combining GARCH volatility with predicted residuals to get final GARCH-GRU volatility predictions\n", "garch_gru_model_s_predictions = garch_vol_component_aligned_ggs + unscaled_residuals_predictions_ggs\n", "\n", "# aligning actual test targets to the same prediction period\n", "target_test_actual_ggs = y_test_s_garch.iloc[lookback:].values.reshape(-1, 1)\n", "\n", "print(\"garch_gru Sentiment Predictions:\", garch_gru_model_s_predictions)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "OKQqWv7VcNNw", "colab": { "base_uri": "https://localhost:8080/", "height": 819 }, "outputId": "d04e2357-7e87-4e9f-af17-b06de456affb" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Aligned test length: 773\n", "Number of predictions: 773\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [ " Actual Volatility GARCH-GRU_Sentiment Predicted Volatility\n", "Date \n", "2021-02-03 0.169317 0.141209\n", "2021-02-04 0.168703 0.132818\n", "2021-02-05 0.162807 0.134926\n", "2021-02-08 0.161744 0.129790\n", "2021-02-09 0.160136 0.126750" ], "text/html": [ "\n", "
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Actual VolatilityGARCH-GRU_Sentiment Predicted Volatility
Date
2021-02-030.1693170.141209
2021-02-040.1687030.132818
2021-02-050.1628070.134926
2021-02-080.1617440.129790
2021-02-090.1601360.126750
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "garch_gru_model_s_results", "summary": "{\n \"name\": \"garch_gru_model_s_results\",\n \"rows\": 773,\n \"fields\": [\n {\n \"column\": \"Date\",\n \"properties\": {\n \"dtype\": \"date\",\n \"min\": \"2021-02-03 00:00:00\",\n \"max\": \"2024-02-29 00:00:00\",\n \"num_unique_values\": 773,\n \"samples\": [\n \"2022-07-14 00:00:00\",\n \"2023-10-16 00:00:00\",\n \"2023-02-21 00:00:00\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Actual Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.06338538102384665,\n \"min\": 0.06803955684916459,\n \"max\": 0.3489603286420088,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.22844653419723016,\n 0.12527449320834527,\n 0.1586309742806594\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"GARCH-GRU_Sentiment Predicted Volatility\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.07040982987068617,\n \"min\": 0.011926229001678432,\n \"max\": 0.35412910725850955,\n \"num_unique_values\": 773,\n \"samples\": [\n 0.18693095794132045,\n 0.07825522808559264,\n 0.1206227707214706\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 508 } ], "source": [ "garch_gru_model_s_results = create_results_and_plot(\n", " model_name=\"GARCH-GRU_Sentiment\",\n", " predictions=garch_gru_model_s_predictions,\n", " actual=target_test_actual_ggs,\n", " y_test=y_test_s_garch,\n", " lookback=lookback\n", ")\n", "\n", "garch_gru_model_s_results.head()" ] }, { "cell_type": "markdown", "metadata": { "id": "xE7Xrr_5RkL_" }, "source": [ "## Comparision of models with sentiment" ] }, { "cell_type": "markdown", "source": [ "Calculating metrics for all the 18 models for comparision" ], "metadata": { "id": "xrdRmKRJDjnF" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "Gq5_tb6xceXu" }, "outputs": [], "source": [ "# Calculate metrics for models WITHOUT SENTIMENT\n", "\n", "\n", "calculate_metrics(\"CNN\", cnn_results)\n", "calculate_metrics(\"GRU\", gru_results)\n", "calculate_metrics(\"LSTM\", lstm_results)\n", "calculate_metrics(\"Bi-LSTM\", bilstm_results)\n", "calculate_metrics(\"PatchTST\", patchtst_results)\n", "calculate_metrics(\"TFT\", tft_results)\n", "calculate_metrics(\"CNN-LSTM\", cnn_lstm_results)\n", "\n", "calculate_metrics(\n", " \"GARCH-LSTM\",\n", " predictions_arr=garch_lstm_predictions.flatten(),\n", " actual_arr=target_test_actual.flatten()\n", ")\n", "\n", "calculate_metrics(\n", " \"GARCH-GRU\",\n", " predictions_arr=garch_gru_predictions.flatten(),\n", " actual_arr=target_test_actual_gru.flatten()\n", ")\n", "\n", "\n", "# Calculate metrics for all models WITH SENTIMENT\n", "\n", "calculate_metrics(\"CNN_Sentiment\", cnn_s_results)\n", "calculate_metrics(\"GRU_Sentiment\", gru_s_results)\n", "calculate_metrics(\"LSTM_Sentiment\", lstm_s_results)\n", "calculate_metrics(\"Bi-LSTM_Sentiment\", bilstm_s_results)\n", "calculate_metrics(\"PatchTST_Sentiment\", patchtst_s_results)\n", "calculate_metrics(\"TFT_Sentiment\", TFT_s_results)\n", "calculate_metrics(\"CNN-LSTM_Sentiment\", cnn_lstm_s_results)\n", "\n", "calculate_metrics(\n", " \"GARCH-LSTM_Sentiment\",\n", " predictions_arr=garch_lstm_model_s_predictions.flatten(),\n", " actual_arr=target_test_actual_gls.flatten()\n", ")\n", "\n", "calculate_metrics(\n", " \"GARCH-GRU_Sentiment\",\n", " predictions_arr=garch_gru_model_s_predictions.flatten(),\n", " actual_arr=target_test_actual_ggs.flatten()\n", ")\n", "\n" ] }, { "cell_type": "markdown", "source": [ "Comparison of models Before and After sentiment" ], "metadata": { "id": "kT5FwWd_D3nR" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "OR6MHYUNA9VB", "colab": { "base_uri": "https://localhost:8080/", "height": 332 }, "outputId": "e72648b2-bd59-418e-d0c2-8575392bc366" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Model MAE Before MAE After RMSE Before RMSE After QLIKE Before \\\n", "0 CNN 0.047632 0.021728 0.063190 0.028964 0.438225 \n", "1 GRU 0.023624 0.022477 0.033975 0.033524 0.045816 \n", "2 LSTM 0.017855 0.017814 0.024050 0.023894 0.039493 \n", "3 Bi-LSTM 0.019281 0.021713 0.024755 0.030948 0.057786 \n", "4 PatchTST 0.016398 0.013997 0.022344 0.019210 0.036804 \n", "5 TFT 0.016607 0.023676 0.022675 0.028628 0.038387 \n", "6 CNN-LSTM 0.019734 0.039249 0.023906 0.052558 0.063701 \n", "7 GARCH-LSTM 0.030800 0.036877 0.033816 0.040792 0.282385 \n", "8 GARCH-GRU 0.032348 0.040224 0.035925 0.043343 0.426776 \n", "\n", " QLIKE After \n", "0 0.062878 \n", "1 0.043536 \n", "2 0.040527 \n", "3 0.044387 \n", "4 0.032972 \n", "5 0.061432 \n", "6 0.095859 \n", "7 0.604968 \n", "8 0.801227 " ], "text/html": [ "\n", "
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ModelMAE BeforeMAE AfterRMSE BeforeRMSE AfterQLIKE BeforeQLIKE After
0CNN0.0476320.0217280.0631900.0289640.4382250.062878
1GRU0.0236240.0224770.0339750.0335240.0458160.043536
2LSTM0.0178550.0178140.0240500.0238940.0394930.040527
3Bi-LSTM0.0192810.0217130.0247550.0309480.0577860.044387
4PatchTST0.0163980.0139970.0223440.0192100.0368040.032972
5TFT0.0166070.0236760.0226750.0286280.0383870.061432
6CNN-LSTM0.0197340.0392490.0239060.0525580.0637010.095859
7GARCH-LSTM0.0308000.0368770.0338160.0407920.2823850.604968
8GARCH-GRU0.0323480.0402240.0359250.0433430.4267760.801227
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "comparison_metrics", "summary": "{\n \"name\": \"comparison_metrics\",\n \"rows\": 9,\n \"fields\": [\n {\n \"column\": \"Model\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9,\n \"samples\": [\n \"GARCH-LSTM\",\n \"GRU\",\n \"TFT\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE Before\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.01035385751870435,\n \"min\": 0.016397832849472757,\n \"max\": 0.04763241749896741,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.0307999686589109,\n 0.023624073108631446,\n 0.016606879207373124\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE After\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.009747683661307826,\n \"min\": 0.0139970123800903,\n \"max\": 0.04022436629363987,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.0368766688038435,\n 0.022477282139244895,\n 0.023675863606130134\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE Before\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.013017276994208678,\n \"min\": 0.022343727430305473,\n \"max\": 0.06319041569234377,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.033815862198374465,\n 0.033974533834249705,\n 0.022674576025202644\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE After\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.010371507057918828,\n \"min\": 0.019210195678184584,\n \"max\": 0.0525576528105097,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.04079166767066471,\n 0.03352350959566556,\n 0.02862771210602143\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE Before\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 9,\n \"samples\": [\n 0.2823852002620697,\n 0.045816145837306976,\n 0.03838718309998512\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE After\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 9,\n \"samples\": [\n 0.6049683690071106,\n 0.043536484241485596,\n 0.06143176555633545\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 514 } ], "source": [ "# build a structured table base model and sentiment model each\n", "# columns with MAE, RMSE and QLIKE without sentiment and with sentiment\n", "# side by side view of models with and without sentiment\n", "\n", "comparison_metrics = pd.DataFrame({\n", "\n", " \"Model\": [\n", " \"CNN\",\n", " \"GRU\",\n", " \"LSTM\",\n", " \"Bi-LSTM\",\n", " \"PatchTST\",\n", " \"TFT\",\n", " \"CNN-LSTM\",\n", " \"GARCH-LSTM\",\n", " \"GARCH-GRU\"\n", " ],\n", "\n", " # MAE with out sentiment\n", " \"MAE Before\": [\n", " MODEL_RESULTS[\"CNN\"][\"MAE\"],\n", " MODEL_RESULTS[\"GRU\"][\"MAE\"],\n", " MODEL_RESULTS[\"LSTM\"][\"MAE\"],\n", " MODEL_RESULTS[\"Bi-LSTM\"][\"MAE\"],\n", " MODEL_RESULTS[\"PatchTST\"][\"MAE\"],\n", " MODEL_RESULTS[\"TFT\"][\"MAE\"],\n", " MODEL_RESULTS[\"CNN-LSTM\"][\"MAE\"],\n", " MODEL_RESULTS[\"GARCH-LSTM\"][\"MAE\"],\n", " MODEL_RESULTS[\"GARCH-GRU\"][\"MAE\"]\n", " ],\n", "\n", " # MAE with sentiment\n", " \"MAE After\": [\n", " MODEL_RESULTS[\"CNN_Sentiment\"][\"MAE\"],\n", " MODEL_RESULTS[\"GRU_Sentiment\"][\"MAE\"],\n", " MODEL_RESULTS[\"LSTM_Sentiment\"][\"MAE\"],\n", " MODEL_RESULTS[\"Bi-LSTM_Sentiment\"][\"MAE\"],\n", " MODEL_RESULTS[\"PatchTST_Sentiment\"][\"MAE\"],\n", " MODEL_RESULTS[\"TFT_Sentiment\"][\"MAE\"],\n", " MODEL_RESULTS[\"CNN-LSTM_Sentiment\"][\"MAE\"],\n", " MODEL_RESULTS[\"GARCH-LSTM_Sentiment\"][\"MAE\"],\n", " MODEL_RESULTS[\"GARCH-GRU_Sentiment\"][\"MAE\"]\n", " ],\n", "\n", " # RMSE without sentiment\n", " \"RMSE Before\": [\n", " MODEL_RESULTS[\"CNN\"][\"RMSE\"],\n", " MODEL_RESULTS[\"GRU\"][\"RMSE\"],\n", " MODEL_RESULTS[\"LSTM\"][\"RMSE\"],\n", " MODEL_RESULTS[\"Bi-LSTM\"][\"RMSE\"],\n", " MODEL_RESULTS[\"PatchTST\"][\"RMSE\"],\n", " MODEL_RESULTS[\"TFT\"][\"RMSE\"],\n", " MODEL_RESULTS[\"CNN-LSTM\"][\"RMSE\"],\n", " MODEL_RESULTS[\"GARCH-LSTM\"][\"RMSE\"],\n", " MODEL_RESULTS[\"GARCH-GRU\"][\"RMSE\"]\n", " ],\n", "\n", " # RMSE with sentiment\n", " \"RMSE After\": [\n", " MODEL_RESULTS[\"CNN_Sentiment\"][\"RMSE\"],\n", " MODEL_RESULTS[\"GRU_Sentiment\"][\"RMSE\"],\n", " MODEL_RESULTS[\"LSTM_Sentiment\"][\"RMSE\"],\n", " MODEL_RESULTS[\"Bi-LSTM_Sentiment\"][\"RMSE\"],\n", " MODEL_RESULTS[\"PatchTST_Sentiment\"][\"RMSE\"],\n", " MODEL_RESULTS[\"TFT_Sentiment\"][\"RMSE\"],\n", " MODEL_RESULTS[\"CNN-LSTM_Sentiment\"][\"RMSE\"],\n", " MODEL_RESULTS[\"GARCH-LSTM_Sentiment\"][\"RMSE\"],\n", " MODEL_RESULTS[\"GARCH-GRU_Sentiment\"][\"RMSE\"]\n", " ],\n", "\n", " # QLIKE without sentiment\n", " \"QLIKE Before\": [\n", " MODEL_RESULTS[\"CNN\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"GRU\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"LSTM\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"Bi-LSTM\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"PatchTST\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"TFT\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"CNN-LSTM\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"GARCH-LSTM\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"GARCH-GRU\"][\"QLIKE\"]\n", " ],\n", "\n", " # QLIKE with sentiment\n", " \"QLIKE After\": [\n", " MODEL_RESULTS[\"CNN_Sentiment\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"GRU_Sentiment\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"LSTM_Sentiment\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"Bi-LSTM_Sentiment\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"PatchTST_Sentiment\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"TFT_Sentiment\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"CNN-LSTM_Sentiment\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"GARCH-LSTM_Sentiment\"][\"QLIKE\"],\n", " MODEL_RESULTS[\"GARCH-GRU_Sentiment\"][\"QLIKE\"]\n", " ]\n", "})\n", "\n", "# display\n", "comparison_metrics" ] }, { "cell_type": "markdown", "source": [ "Improvment after adding Sentiment" ], "metadata": { "id": "YqJ1eOWnEJcK" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "gp0i8_JtBAVo", "colab": { "base_uri": "https://localhost:8080/", "height": 332 }, "outputId": "ac9ca5ca-4481-4be1-dfc2-c3f5cece081d" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Model MAE Before MAE After RMSE Before RMSE After QLIKE Before \\\n", "0 CNN 0.0476 0.0217 0.0632 0.0290 0.4382 \n", "1 GRU 0.0236 0.0225 0.0340 0.0335 0.0458 \n", "2 LSTM 0.0179 0.0178 0.0240 0.0239 0.0395 \n", "3 Bi-LSTM 0.0193 0.0217 0.0248 0.0309 0.0578 \n", "4 PatchTST 0.0164 0.0140 0.0223 0.0192 0.0368 \n", "5 TFT 0.0166 0.0237 0.0227 0.0286 0.0384 \n", "6 CNN-LSTM 0.0197 0.0392 0.0239 0.0526 0.0637 \n", "7 GARCH-LSTM 0.0308 0.0369 0.0338 0.0408 0.2824 \n", "8 GARCH-GRU 0.0323 0.0402 0.0359 0.0433 0.4268 \n", "\n", " QLIKE After MAE Improvement (%) RMSE Improvement (%) \\\n", "0 0.0629 54.3840 54.1641 \n", "1 0.0435 4.8543 1.3275 \n", "2 0.0405 0.2308 0.6476 \n", "3 0.0444 -12.6157 -25.0155 \n", "4 0.0330 14.6411 14.0242 \n", "5 0.0614 -42.5666 -26.2547 \n", "6 0.0959 -98.8928 -119.8520 \n", "7 0.6050 -19.7296 -20.6288 \n", "8 0.8012 -24.3508 -20.6507 \n", "\n", " QLIKE Improvement (%) \n", "0 85.651703 \n", "1 4.975700 \n", "2 -2.616500 \n", "3 23.187201 \n", "4 10.412200 \n", "5 -60.032001 \n", "6 -50.483200 \n", "7 -114.235199 \n", "8 -87.739403 " ], "text/html": [ "\n", "
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ModelMAE BeforeMAE AfterRMSE BeforeRMSE AfterQLIKE BeforeQLIKE AfterMAE Improvement (%)RMSE Improvement (%)QLIKE Improvement (%)
0CNN0.04760.02170.06320.02900.43820.062954.384054.164185.651703
1GRU0.02360.02250.03400.03350.04580.04354.85431.32754.975700
2LSTM0.01790.01780.02400.02390.03950.04050.23080.6476-2.616500
3Bi-LSTM0.01930.02170.02480.03090.05780.0444-12.6157-25.015523.187201
4PatchTST0.01640.01400.02230.01920.03680.033014.641114.024210.412200
5TFT0.01660.02370.02270.02860.03840.0614-42.5666-26.2547-60.032001
6CNN-LSTM0.01970.03920.02390.05260.06370.0959-98.8928-119.8520-50.483200
7GARCH-LSTM0.03080.03690.03380.04080.28240.6050-19.7296-20.6288-114.235199
8GARCH-GRU0.03230.04020.03590.04330.42680.8012-24.3508-20.6507-87.739403
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"comparison_metrics\",\n \"rows\": 9,\n \"fields\": [\n {\n \"column\": \"Model\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9,\n \"samples\": [\n \"GARCH-LSTM\",\n \"GRU\",\n \"TFT\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE Before\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.010338573939916043,\n \"min\": 0.0164,\n \"max\": 0.0476,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.0308,\n 0.0236,\n 0.0166\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE After\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.009739923568032303,\n \"min\": 0.014,\n \"max\": 0.0402,\n \"num_unique_values\": 8,\n \"samples\": [\n 0.0225,\n 0.0392,\n 0.0217\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE Before\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.01302226725437796,\n \"min\": 0.0223,\n \"max\": 0.0632,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.0338,\n 0.034,\n 0.0227\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE After\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.010379065468528464,\n \"min\": 0.0192,\n \"max\": 0.0526,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.0408,\n 0.0335,\n 0.0286\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE Before\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 9,\n \"samples\": [\n 0.2824000120162964,\n 0.04580000042915344,\n 0.03840000182390213\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE After\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 9,\n \"samples\": [\n 0.6050000190734863,\n 0.04349999874830246,\n 0.061400000005960464\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE Improvement (%)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 42.15889825100522,\n \"min\": -98.8928,\n \"max\": 54.384,\n \"num_unique_values\": 9,\n \"samples\": [\n -19.7296,\n 4.8543,\n -42.5666\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE Improvement (%)\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 46.65863308346889,\n \"min\": -119.852,\n \"max\": 54.1641,\n \"num_unique_values\": 9,\n \"samples\": [\n -20.6288,\n 1.3275,\n -26.2547\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE Improvement (%)\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 9,\n \"samples\": [\n -114.23519897460938,\n 4.9756999015808105,\n -60.03200149536133\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 515 } ], "source": [ "# calculating the percentage of improvement from each metric after adding sentiment\n", "# positive % - sentiment improved performance\n", "# negative % - sentiment performance not improved\n", "# improvement = ((before - after) / before ) * 100\n", "\n", "comparison_metrics[\"MAE Improvement (%)\"] = (\n", " (comparison_metrics[\"MAE Before\"] -\n", " comparison_metrics[\"MAE After\"])\n", " / comparison_metrics[\"MAE Before\"]\n", ") * 100\n", "\n", "comparison_metrics[\"RMSE Improvement (%)\"] = (\n", " (comparison_metrics[\"RMSE Before\"] -\n", " comparison_metrics[\"RMSE After\"])\n", " / comparison_metrics[\"RMSE Before\"]\n", ") * 100\n", "\n", "comparison_metrics[\"QLIKE Improvement (%)\"] = (\n", " (comparison_metrics[\"QLIKE Before\"] -\n", " comparison_metrics[\"QLIKE After\"])\n", " / comparison_metrics[\"QLIKE Before\"]\n", ") * 100\n", "\n", "comparison_metrics.round(4)" ] }, { "cell_type": "markdown", "source": [ "Model rank before and afte sentiment" ], "metadata": { "id": "U4O34V8tFCti" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "p1Tz3TPKBEa3", "colab": { "base_uri": "https://localhost:8080/", "height": 332 }, "outputId": "2b6fa4f1-c394-4152-cda3-7dbce086c3bf" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Model MAE Before MAE After RMSE Before RMSE After QLIKE Before \\\n", "0 CNN 0.0476 0.0217 0.0632 0.0290 0.4382 \n", "1 GRU 0.0236 0.0225 0.0340 0.0335 0.0458 \n", "2 LSTM 0.0179 0.0178 0.0240 0.0239 0.0395 \n", "3 Bi-LSTM 0.0193 0.0217 0.0248 0.0309 0.0578 \n", "4 PatchTST 0.0164 0.0140 0.0223 0.0192 0.0368 \n", "5 TFT 0.0166 0.0237 0.0227 0.0286 0.0384 \n", "6 CNN-LSTM 0.0197 0.0392 0.0239 0.0526 0.0637 \n", "7 GARCH-LSTM 0.0308 0.0369 0.0338 0.0408 0.2824 \n", "8 GARCH-GRU 0.0323 0.0402 0.0359 0.0433 0.4268 \n", "\n", " QLIKE After Rank Before MAE Rank After MAE Rank Before RMSE \\\n", "0 0.0629 9.0 4.0 9.0 \n", "1 0.0435 6.0 5.0 7.0 \n", "2 0.0405 3.0 2.0 4.0 \n", "3 0.0444 4.0 3.0 5.0 \n", "4 0.0330 1.0 1.0 1.0 \n", "5 0.0614 2.0 6.0 2.0 \n", "6 0.0959 5.0 8.0 3.0 \n", "7 0.6050 7.0 7.0 6.0 \n", "8 0.8012 8.0 9.0 8.0 \n", "\n", " Rank After RMSE Rank Before QLIKE Rank After QLIKE \n", "0 4.0 9.0 6.0 \n", "1 6.0 4.0 3.0 \n", "2 2.0 3.0 2.0 \n", "3 5.0 5.0 4.0 \n", "4 1.0 1.0 1.0 \n", "5 3.0 2.0 5.0 \n", "6 9.0 6.0 7.0 \n", "7 7.0 7.0 8.0 \n", "8 8.0 8.0 9.0 " ], "text/html": [ "\n", "
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ModelMAE BeforeMAE AfterRMSE BeforeRMSE AfterQLIKE BeforeQLIKE AfterRank Before MAERank After MAERank Before RMSERank After RMSERank Before QLIKERank After QLIKE
0CNN0.04760.02170.06320.02900.43820.06299.04.09.04.09.06.0
1GRU0.02360.02250.03400.03350.04580.04356.05.07.06.04.03.0
2LSTM0.01790.01780.02400.02390.03950.04053.02.04.02.03.02.0
3Bi-LSTM0.01930.02170.02480.03090.05780.04444.03.05.05.05.04.0
4PatchTST0.01640.01400.02230.01920.03680.03301.01.01.01.01.01.0
5TFT0.01660.02370.02270.02860.03840.06142.06.02.03.02.05.0
6CNN-LSTM0.01970.03920.02390.05260.06370.09595.08.03.09.06.07.0
7GARCH-LSTM0.03080.03690.03380.04080.28240.60507.07.06.07.07.08.0
8GARCH-GRU0.03230.04020.03590.04330.42680.80128.09.08.08.08.09.0
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"ranking\",\n \"rows\": 9,\n \"fields\": [\n {\n \"column\": \"Model\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9,\n \"samples\": [\n \"GARCH-LSTM\",\n \"GRU\",\n \"TFT\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE Before\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.010338573939916043,\n \"min\": 0.0164,\n \"max\": 0.0476,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.0308,\n 0.0236,\n 0.0166\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE After\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.009739923568032303,\n \"min\": 0.014,\n \"max\": 0.0402,\n \"num_unique_values\": 8,\n \"samples\": [\n 0.0225,\n 0.0392,\n 0.0217\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE Before\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.01302226725437796,\n \"min\": 0.0223,\n \"max\": 0.0632,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.0338,\n 0.034,\n 0.0227\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE After\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.010379065468528464,\n \"min\": 0.0192,\n \"max\": 0.0526,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.0408,\n 0.0335,\n 0.0286\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE Before\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 9,\n \"samples\": [\n 0.2824000120162964,\n 0.04580000042915344,\n 0.03840000182390213\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE After\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 9,\n \"samples\": [\n 0.6050000190734863,\n 0.04349999874830246,\n 0.061400000005960464\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rank Before MAE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.7386127875258306,\n \"min\": 1.0,\n \"max\": 9.0,\n \"num_unique_values\": 9,\n \"samples\": [\n 7.0,\n 6.0,\n 2.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rank After MAE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.7386127875258306,\n \"min\": 1.0,\n \"max\": 9.0,\n \"num_unique_values\": 9,\n \"samples\": [\n 7.0,\n 5.0,\n 6.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rank Before RMSE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.7386127875258306,\n \"min\": 1.0,\n \"max\": 9.0,\n \"num_unique_values\": 9,\n \"samples\": [\n 6.0,\n 7.0,\n 2.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rank After RMSE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.7386127875258306,\n \"min\": 1.0,\n \"max\": 9.0,\n \"num_unique_values\": 9,\n \"samples\": [\n 7.0,\n 6.0,\n 3.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rank Before QLIKE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.7386127875258306,\n \"min\": 1.0,\n \"max\": 9.0,\n \"num_unique_values\": 9,\n \"samples\": [\n 7.0,\n 4.0,\n 2.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Rank After QLIKE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.7386127875258306,\n \"min\": 1.0,\n \"max\": 9.0,\n \"num_unique_values\": 9,\n \"samples\": [\n 8.0,\n 3.0,\n 5.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 516 } ], "source": [ "# ranking all the models on each metric before and after sentiment\n", "ranking = comparison_metrics[[\n", " \"Model\",\n", " \"MAE Before\",\n", " \"MAE After\",\n", " \"RMSE Before\",\n", " \"RMSE After\",\n", " \"QLIKE Before\",\n", " \"QLIKE After\"\n", "]].copy()\n", "\n", "ranking[\"Rank Before MAE\"] = ranking[\"MAE Before\"].rank(ascending=True)\n", "ranking[\"Rank After MAE\"] = ranking[\"MAE After\"].rank(ascending=True)\n", "\n", "ranking[\"Rank Before RMSE\"] = ranking[\"RMSE Before\"].rank(ascending=True)\n", "ranking[\"Rank After RMSE\"] = ranking[\"RMSE After\"].rank(ascending=True)\n", "\n", "ranking[\"Rank Before QLIKE\"] = ranking[\"QLIKE Before\"].rank(ascending=True)\n", "ranking[\"Rank After QLIKE\"] = ranking[\"QLIKE After\"].rank(ascending=True)\n", "\n", "ranking.round(4)" ] }, { "cell_type": "markdown", "source": [ "Visual representation of QLIKE metric before vs after sentiment" ], "metadata": { "id": "xHFXC5_7FUKd" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "uYTCwBWDBJ0A", "colab": { "base_uri": "https://localhost:8080/", "height": 707 }, "outputId": "846e7ca7-a541-427e-d2f3-1596155cfeb3" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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}, "metadata": {} } ], "source": [ "# QLIKE: Before vs After Sentiment\n", "\n", "plt.figure(figsize=(14, 7))\n", "\n", "x = np.arange(len(comparison_metrics))\n", "width = 0.35\n", "\n", "plt.bar(\n", " x - width/2,\n", " comparison_metrics[\"QLIKE Before\"],\n", " width,\n", " label=\"Without Sentiment\"\n", ")\n", "\n", "plt.bar(\n", " x + width/2,\n", " comparison_metrics[\"QLIKE After\"],\n", " width,\n", " label=\"With Sentiment\"\n", ")\n", "\n", "plt.xticks(x, comparison_metrics[\"Model\"], rotation=45)\n", "plt.ylabel(\"QLIKE\")\n", "plt.title(\"QLIKE Comparison: Before vs After Sentiment\")\n", "plt.legend()\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "source": [ "comparison table of models with sentiment" ], "metadata": { "id": "YF_x8oLOFnn1" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "wetEMSRpT5cC", "colab": { "base_uri": "https://localhost:8080/", "height": 332 }, "outputId": "4875e591-6321-419e-de14-9b71f8a8902c" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Model MAE RMSE QLIKE\n", "0 CNN_Sentiment 0.021728 0.028964 0.062878\n", "1 GRU_Sentiment 0.022477 0.033524 0.043536\n", "2 LSTM_Sentiment 0.017814 0.023894 0.040527\n", "3 Bi-LSTM_Sentiment 0.021713 0.030948 0.044387\n", "4 PatchTST_Sentiment 0.013997 0.019210 0.032972\n", "5 TFT_Sentiment 0.023676 0.028628 0.061432\n", "6 CNN-LSTM_Sentiment 0.039249 0.052558 0.095859\n", "7 GARCH-LSTM_Sentiment 0.036877 0.040792 0.604968\n", "8 GARCH-GRU_Sentiment 0.040224 0.043343 0.801227" ], "text/html": [ "\n", "
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ModelMAERMSEQLIKE
0CNN_Sentiment0.0217280.0289640.062878
1GRU_Sentiment0.0224770.0335240.043536
2LSTM_Sentiment0.0178140.0238940.040527
3Bi-LSTM_Sentiment0.0217130.0309480.044387
4PatchTST_Sentiment0.0139970.0192100.032972
5TFT_Sentiment0.0236760.0286280.061432
6CNN-LSTM_Sentiment0.0392490.0525580.095859
7GARCH-LSTM_Sentiment0.0368770.0407920.604968
8GARCH-GRU_Sentiment0.0402240.0433430.801227
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "comparison_after_sentiment", "summary": "{\n \"name\": \"comparison_after_sentiment\",\n \"rows\": 9,\n \"fields\": [\n {\n \"column\": \"Model\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 9,\n \"samples\": [\n \"GARCH-LSTM_Sentiment\",\n \"GRU_Sentiment\",\n \"TFT_Sentiment\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.009747590083935847,\n \"min\": 0.013997,\n \"max\": 0.040224,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.036877,\n 0.022477,\n 0.023676\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.010371566256410412,\n \"min\": 0.01921,\n \"max\": 0.052558,\n \"num_unique_values\": 9,\n \"samples\": [\n 0.040792,\n 0.033524,\n 0.028628\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 9,\n \"samples\": [\n 0.6049680113792419,\n 0.043535999953746796,\n 0.06143200024962425\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 518 } ], "source": [ "# COMPARISON TABLE — WITH SENTIMENT\n", "\n", "comparison_after_sentiment = pd.DataFrame([\n", " {\n", " \"Model\": model,\n", " \"MAE\": values[\"MAE\"],\n", " \"RMSE\": values[\"RMSE\"],\n", " \"QLIKE\": values[\"QLIKE\"]\n", " }\n", " for model, values in MODEL_RESULTS.items()\n", " if \"Sentiment\" in model\n", "])\n", "\n", "comparison_after_sentiment = comparison_after_sentiment.round(6)\n", "\n", "comparison_after_sentiment" ] }, { "cell_type": "markdown", "source": [ "Comparing all the models" ], "metadata": { "id": "PceQpR2qFxGW" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "mge3azpIWLIm", "colab": { "base_uri": "https://localhost:8080/", "height": 614 }, "outputId": "90750f91-05a5-43fc-afb5-15bf5f06f834" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Model MAE RMSE QLIKE MAE Rank RMSE Rank \\\n", "0 PatchTST_Sentiment 0.013997 0.019210 0.032972 1.0 1.0 \n", "1 PatchTST 0.016398 0.022344 0.036804 2.0 2.0 \n", "2 TFT 0.016607 0.022675 0.038387 3.0 3.0 \n", "3 LSTM_Sentiment 0.017814 0.023894 0.040527 4.0 4.0 \n", "4 LSTM 0.017855 0.024050 0.039493 5.0 6.0 \n", "5 Bi-LSTM 0.019281 0.024755 0.057786 6.0 7.0 \n", "6 CNN-LSTM 0.019734 0.023906 0.063701 7.0 5.0 \n", "7 Bi-LSTM_Sentiment 0.021713 0.030948 0.044387 8.0 10.0 \n", "8 GRU_Sentiment 0.022477 0.033524 0.043536 10.0 11.0 \n", "9 CNN_Sentiment 0.021728 0.028964 0.062878 9.0 9.0 \n", "10 TFT_Sentiment 0.023676 0.028628 0.061432 12.0 8.0 \n", "11 GRU 0.023624 0.033975 0.045816 11.0 13.0 \n", "12 GARCH-LSTM 0.030800 0.033816 0.282385 13.0 12.0 \n", "13 GARCH-GRU 0.032348 0.035925 0.426776 14.0 14.0 \n", "14 CNN-LSTM_Sentiment 0.039249 0.052558 0.095859 16.0 17.0 \n", "15 GARCH-LSTM_Sentiment 0.036877 0.040792 0.604968 15.0 15.0 \n", "16 GARCH-GRU_Sentiment 0.040224 0.043343 0.801227 17.0 16.0 \n", "17 CNN 0.047632 0.063190 0.438225 18.0 18.0 \n", "\n", " QLIKE Rank Overall Rank \n", "0 1.0 3.0 \n", "1 2.0 6.0 \n", "2 3.0 9.0 \n", "3 5.0 13.0 \n", "4 4.0 15.0 \n", "5 9.0 22.0 \n", "6 12.0 24.0 \n", "7 7.0 25.0 \n", "8 6.0 27.0 \n", "9 11.0 29.0 \n", "10 10.0 30.0 \n", "11 8.0 32.0 \n", "12 14.0 39.0 \n", "13 15.0 43.0 \n", "14 13.0 46.0 \n", "15 17.0 47.0 \n", "16 18.0 51.0 \n", "17 16.0 52.0 " ], "text/html": [ "\n", "
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ModelMAERMSEQLIKEMAE RankRMSE RankQLIKE RankOverall Rank
0PatchTST_Sentiment0.0139970.0192100.0329721.01.01.03.0
1PatchTST0.0163980.0223440.0368042.02.02.06.0
2TFT0.0166070.0226750.0383873.03.03.09.0
3LSTM_Sentiment0.0178140.0238940.0405274.04.05.013.0
4LSTM0.0178550.0240500.0394935.06.04.015.0
5Bi-LSTM0.0192810.0247550.0577866.07.09.022.0
6CNN-LSTM0.0197340.0239060.0637017.05.012.024.0
7Bi-LSTM_Sentiment0.0217130.0309480.0443878.010.07.025.0
8GRU_Sentiment0.0224770.0335240.04353610.011.06.027.0
9CNN_Sentiment0.0217280.0289640.0628789.09.011.029.0
10TFT_Sentiment0.0236760.0286280.06143212.08.010.030.0
11GRU0.0236240.0339750.04581611.013.08.032.0
12GARCH-LSTM0.0308000.0338160.28238513.012.014.039.0
13GARCH-GRU0.0323480.0359250.42677614.014.015.043.0
14CNN-LSTM_Sentiment0.0392490.0525580.09585916.017.013.046.0
15GARCH-LSTM_Sentiment0.0368770.0407920.60496815.015.017.047.0
16GARCH-GRU_Sentiment0.0402240.0433430.80122717.016.018.051.0
17CNN0.0476320.0631900.43822518.018.016.052.0
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "overall_results", "summary": "{\n \"name\": \"overall_results\",\n \"rows\": 18,\n \"fields\": [\n {\n \"column\": \"Model\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 18,\n \"samples\": [\n \"PatchTST_Sentiment\",\n \"PatchTST\",\n \"GRU_Sentiment\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.009785488868758565,\n \"min\": 0.0139970123800903,\n \"max\": 0.04763241749896741,\n \"num_unique_values\": 18,\n \"samples\": [\n 0.0139970123800903,\n 0.016397832849472757,\n 0.022477282139244895\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.011459968946140696,\n \"min\": 0.019210195678184584,\n \"max\": 0.06319041569234377,\n \"num_unique_values\": 18,\n \"samples\": [\n 0.019210195678184584,\n 0.022343727430305473,\n 0.03352350959566556\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE\",\n \"properties\": {\n \"dtype\": \"float32\",\n \"num_unique_values\": 18,\n \"samples\": [\n 0.03297220543026924,\n 0.03680436313152313,\n 0.043536484241485596\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE Rank\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.338539126015656,\n \"min\": 1.0,\n \"max\": 18.0,\n \"num_unique_values\": 18,\n \"samples\": [\n 1.0,\n 2.0,\n 10.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE Rank\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.338539126015656,\n \"min\": 1.0,\n \"max\": 18.0,\n \"num_unique_values\": 18,\n \"samples\": [\n 1.0,\n 2.0,\n 11.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"QLIKE Rank\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5.338539126015656,\n \"min\": 1.0,\n \"max\": 18.0,\n \"num_unique_values\": 18,\n \"samples\": [\n 1.0,\n 2.0,\n 6.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Overall Rank\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 15.489085341164673,\n \"min\": 3.0,\n \"max\": 52.0,\n \"num_unique_values\": 18,\n \"samples\": [\n 3.0,\n 6.0,\n 27.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 519 } ], "source": [ "# OVERALL comparison of MODELS\n", "\n", "# Combine all model results\n", "overall_results = pd.DataFrame([\n", " {\n", " \"Model\": model,\n", " \"MAE\": values[\"MAE\"],\n", " \"RMSE\": values[\"RMSE\"],\n", " \"QLIKE\": values[\"QLIKE\"]\n", " }\n", " for model, values in MODEL_RESULTS.items()\n", "])\n", "\n", "# Rank each model for each metric\n", "# Lower values = better performance\n", "overall_results[\"MAE Rank\"] = (\n", " overall_results[\"MAE\"]\n", " .rank(method=\"min\", ascending=True)\n", ")\n", "\n", "overall_results[\"RMSE Rank\"] = (\n", " overall_results[\"RMSE\"]\n", " .rank(method=\"min\", ascending=True)\n", ")\n", "\n", "overall_results[\"QLIKE Rank\"] = (\n", " overall_results[\"QLIKE\"]\n", " .rank(method=\"min\", ascending=True)\n", ")\n", "\n", "# Calculate overall rank\n", "overall_results[\"Overall Rank\"] = (\n", " overall_results[\"MAE Rank\"] +\n", " overall_results[\"RMSE Rank\"] +\n", " overall_results[\"QLIKE Rank\"]\n", ")\n", "\n", "# Sort by overall rank\n", "overall_results = (\n", " overall_results\n", " .sort_values(\"Overall Rank\")\n", " .reset_index(drop=True)\n", ")\n", "\n", "# Display results\n", "overall_results\n", "\n" ] }, { "cell_type": "markdown", "source": [ "Over best model" ], "metadata": { "id": "FIGk_fVCGFLf" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "XnNFXhWqbcB7", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "3377cc71-bc00-48de-e9b4-6bfaeb7ede51" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "==========================================\n", " BEST OVERALL MODEL\n", "==========================================\n", "Model : PatchTST_Sentiment\n", "MAE : 0.013997\n", "RMSE : 0.019210\n", "QLIKE : 0.032972\n", "\n", "Overall Rank Score: 3\n" ] } ], "source": [ "# BEST OVERALL MODEL\n", "\n", "best_model = overall_results.iloc[0]\n", "\n", "print(\"==========================================\")\n", "print(\" BEST OVERALL MODEL\")\n", "print(\"==========================================\")\n", "\n", "print(f\"Model : {best_model['Model']}\")\n", "print(f\"MAE : {best_model['MAE']:.6f}\")\n", "print(f\"RMSE : {best_model['RMSE']:.6f}\")\n", "print(f\"QLIKE : {best_model['QLIKE']:.6f}\")\n", "\n", "print(f\"\\nOverall Rank Score: {best_model['Overall Rank']:.0f}\")\n" ] }, { "cell_type": "markdown", "metadata": { "id": "7JIaIB3xReAJ" }, "source": [ "## Explainability" ] }, { "cell_type": "markdown", "metadata": { "id": "2Cx9FVxaT0KB" }, "source": [ "### SHape and lime" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "28M62--1WDFk", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "ff63a50b-6c06-45b1-d0c2-66173407c3c8" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Explaining model with input shape: (773, 21, 28)\n" ] } ], "source": [ "\n", "# here it stores model to be explained\n", "model_obj = tft_model_s\n", "\n", "# here it stores test sequences\n", "X_seq = X_test_seq_s\n", "\n", "# here it stores the features list\n", "feature_list = SENTIMENT_FEATURES\n", "\n", "print(\"Explaining model with input shape:\", X_seq.shape)" ] }, { "cell_type": "markdown", "source": [ " Generating SHAP vlaues" ], "metadata": { "id": "z48f8dw4FB9Y" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "uMHqDaytWDIX", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "da7a7aa4-5aba-4de0-ae9b-00ceffdede1e" }, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.13/dist-packages/keras/src/models/functional.py:241: UserWarning: The structure of `inputs` doesn't match the expected structure.\n", "Expected: keras_tensor_533\n", "Received: inputs=['Tensor(shape=(50, 21, 28))']\n", " warnings.warn(msg)\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "SHAP values shape: (50, 21, 28)\n" ] } ], "source": [ "# selects 50 samples from the test data\n", "n_background = min(50, X_seq.shape[0])\n", "\n", "# randomly selects background samples without replacing\n", "background = X_seq[np.random.choice(X_seq.shape[0], n_background, replace=False)]\n", "\n", "# creating a SHAP gradient explainer using the trained model and background data\n", "explainer_shap = shap.GradientExplainer(model_obj, background)\n", "\n", "# selecting upto 50 samples to explain\n", "n_explain = min(50, X_seq.shape[0])\n", "\n", "# taking first sample\n", "samples_to_explain = X_seq[:n_explain]\n", "\n", "# calculating SHAP value\n", "shap_values = explainer_shap.shap_values(samples_to_explain)\n", "\n", "# if the list is returned take the first element otherwise use values directly\n", "sv = shap_values[0] if isinstance(shap_values, list) else shap_values\n", "\n", "# if it contains extra dimension, select the first output then it will be 3D\n", "if sv.ndim == 4:\n", " sv = sv[..., 0]\n", "\n", "# display the final SHAP values shape\n", "print(\"SHAP values shape:\", sv.shape) # (n_explain, lookback, n_features)" ] }, { "cell_type": "markdown", "source": [ "Calculating and visuale representing SHAP feature importance" ], "metadata": { "id": "Jum3S7ERFMrw" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "K4RwpoAEWDMd", "colab": { "base_uri": "https://localhost:8080/", "height": 953 }, "outputId": "caa8be8a-cd21-46e4-8b09-8431804475bb" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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}, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [ " Feature Mean|SHAP|\n", "0 hl_range 0.000485\n", "1 ATR 0.000424\n", "2 abs_return 0.000421\n", "3 parkinson_vol 0.000411\n", "4 rsi_14 0.000398\n", "5 RV_5 0.000300\n", "6 neg_return_flag 0.000296\n", "7 sma_21 0.000266\n", "8 bb_width 0.000221\n", "9 VIX 0.000206" ], "text/html": [ "\n", "
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FeatureMean|SHAP|
0hl_range0.000485
1ATR0.000424
2abs_return0.000421
3parkinson_vol0.000411
4rsi_140.000398
5RV_50.000300
6neg_return_flag0.000296
7sma_210.000266
8bb_width0.000221
9VIX0.000206
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "shap_importance_df", "summary": "{\n \"name\": \"shap_importance_df\",\n \"rows\": 28,\n \"fields\": [\n {\n \"column\": \"Feature\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 28,\n \"samples\": [\n \"VIX\",\n \"SP500_Return\",\n \"bb_width\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Mean|SHAP|\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.00014156754156520338,\n \"min\": 1.3415553557754986e-05,\n \"max\": 0.00048548993619762303,\n \"num_unique_values\": 28,\n \"samples\": [\n 0.00020603523537745548,\n 3.161719096982543e-05,\n 0.00022118922246095604\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 523 } ], "source": [ "# calculate the average absolute SHAP values for each feature\n", "mean_abs_shap = np.abs(sv).mean(axis=(0, 1))\n", "\n", "# creating a dataframe containing each feature and its mean absolute SHAP values\n", "shap_importance_df = pd.DataFrame({\n", " \"Feature\": feature_list,\n", " \"Mean|SHAP|\": mean_abs_shap\n", "}).sort_values(\"Mean|SHAP|\", ascending=False).reset_index(drop=True)\n", "\n", "# selecting top 15 features\n", "top = shap_importance_df.head(15).iloc[::-1]\n", "\n", "# creates SHAPE features importance plot\n", "plt.figure(figsize=(9, 6))\n", "plt.barh(top[\"Feature\"], top[\"Mean|SHAP|\"], color=\"mediumseagreen\")\n", "plt.xlabel(\"Mean |SHAP value|\")\n", "plt.title(\"SHAP Feature Importance\")\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# display 10 important features with scores\n", "shap_importance_df.head(10)" ] }, { "cell_type": "markdown", "source": [ "calculate and visualise sentiment contribution using SHAP" ], "metadata": { "id": "foLDN2p1Fa0A" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "ZNQDg59gWYnm", "colab": { "base_uri": "https://localhost:8080/", "height": 461 }, "outputId": "3e497e88-d12e-44cf-c8e8-2b0b29f19ab0" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Sentiment share of total SHAP attribution: 3.21%\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "SENTIMENT_FEATURE_NAMES = [\"daily_sentiment\", \"sentiment_ma5\"]\n", "\n", "# finding position of the sentiment features\n", "sentiment_idx = [i for i, f in enumerate(feature_list) if f in SENTIMENT_FEATURE_NAMES]\n", "\n", "# check whether sentiment features are there\n", "if sentiment_idx:\n", " total_attribution = mean_abs_shap.sum()\n", "\n", " sentiment_share = mean_abs_shap[sentiment_idx].sum() / total_attribution * 100 # calculate share of sentiment features\n", " print(f\"Sentiment share of total SHAP attribution: {sentiment_share:.2f}%\")\n", "\n", " # plotting\n", " plt.figure(figsize=(5, 5))\n", " # plotting senitment features and remianing features\n", " plt.pie([sentiment_share, 100 - sentiment_share],\n", " labels=[\"Sentiment features\", \"All other features\"],\n", " autopct=\"%1.1f%%\", colors=[\"darkorange\", \"lightgray\"])\n", " plt.title(\"Share of Model Attention Given to Sentiment (SHAP)\")\n", " plt.show()\n", "else:\n", " print(\"No sentiment features in feature_list \") # it happens when use base model(with no sentiment features)" ] }, { "cell_type": "markdown", "source": [ "##### LIME" ], "metadata": { "id": "ASUHvdICFplM" } }, { "cell_type": "markdown", "source": [ "LIME explainer for sequential model" ], "metadata": { "id": "DX30bfmQFtrB" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "UcwPbnfgWdDH" }, "outputs": [], "source": [ "lookback_len = X_seq.shape[1]\n", "n_features_lime = X_seq.shape[2]\n", "\n", "# function to reshape data and make model predictions\n", "def predict_fn(flat_X):\n", " reshaped = flat_X.reshape(-1, lookback_len, n_features_lime)\n", " return model_obj.predict(reshaped, verbose=0).flatten()\n", "\n", "# creating names for each feature\n", "feature_names_flat = [\n", " f\"{feat} (t-{lookback_len - t})\"\n", " for t in range(lookback_len)\n", " for feat in feature_list\n", "]\n", "\n", "# flatten input for LIME\n", "X_flat_background = X_seq.reshape(X_seq.shape[0], -1)\n", "\n", "# creating LIME explainer\n", "explainer_lime = LimeTabularExplainer(\n", " training_data=X_flat_background,\n", " feature_names=feature_names_flat,\n", " mode=\"regression\",\n", " discretize_continuous=False\n", ")" ] }, { "cell_type": "markdown", "source": [ "LIME explanation for a test sample" ], "metadata": { "id": "oq80wHcEF1oM" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "1mcq__qdWneW", "colab": { "base_uri": "https://localhost:8080/", "height": 661 }, "outputId": "c8c408a5-8bfa-4731-b24d-31f08913672b" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} }, { "output_type": "execute_result", "data": { "text/plain": [ "[('rsi_14 (t-21)', 0.0030358141281489593),\n", " ('ATR (t-21)', -0.002899236076514815),\n", " ('neg_return_flag (t-21)', 0.001973425067289965),\n", " ('SP500_Close (t-3)', -0.001563725442099762),\n", " ('SP500_Low (t-1)', -0.0015311313562746305),\n", " ('SP500_Close (t-12)', -0.0006234075551582481),\n", " ('abs_return (t-5)', -0.00046587637241782607),\n", " ('SP500_Low (t-18)', -0.00042629824750531375),\n", " ('SP500_Open (t-5)', -0.0002468349823426877),\n", " ('SP500_Close (t-19)', -0.0002160412087979975)]" ] }, "metadata": {}, "execution_count": 526 } ], "source": [ "# taking last test sample\n", "instance_idx = -1\n", "instance_flat = X_seq[instance_idx].flatten()\n", "\n", "# create the LIME explanation\n", "lime_exp = explainer_lime.explain_instance(\n", " instance_flat, predict_fn, num_features=10, num_samples=500\n", ")\n", "\n", "# plot the LIME explanation\n", "lime_exp.as_pyplot_figure()\n", "plt.title(f\"LIME explanation — sample {instance_idx}\")\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# displaying the LIME feature\n", "lime_exp.as_list()" ] }, { "cell_type": "markdown", "source": [ "calculate sentiment contribution using LIME" ], "metadata": { "id": "LjVcCNHFF71u" } }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "jWVHil-2Wo7e", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "13a8bc0f-4ebd-49ef-c8fa-bb0f326e24e3" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Sentiment share of total LIME attribution (avg over 20 samples): 5.96%\n" ] } ], "source": [ "# number of samples to explain\n", "n_samples_lime = 20\n", "sentiment_weight_total, all_weight_total = 0.0, 0.0\n", "\n", "# explainin each sample\n", "for i in range(min(n_samples_lime, X_seq.shape[0])):\n", " # generate a LIME explanation\n", " exp_i = explainer_lime.explain_instance(\n", " X_seq[i].flatten(), predict_fn, num_features=len(feature_names_flat), num_samples=300\n", " )\n", " # go through each feature and its LIME weight\n", " for term, weight in exp_i.as_list():\n", " all_weight_total += abs(weight) # add the absolute weight to the total\n", "\n", " # add the weight only for sentiment feature\n", " if \"sentiment\" in term.lower():\n", " sentiment_weight_total += abs(weight)\n", "\n", "# calculate the percentage of sentiment feature\n", "lime_sentiment_share = sentiment_weight_total / all_weight_total * 100\n", "\n", "# printing the sentiment contribution\n", "print(f\"Sentiment share of total LIME attribution (avg over {n_samples_lime} samples): {lime_sentiment_share:.2f}%\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "id": "QfMgAsBmWs7-" }, "outputs": [], "source": [] } ], "metadata": { "accelerator": "GPU", "colab": { "gpuType": "T4", "provenance": [], "toc_visible": true }, "kernelspec": { "display_name": "Python 3", "name": "python3" }, "language_info": { 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