{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f56316f7",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--->test_year<--- 2012\n",
      "stock_names 75\n",
      "Model: \"sequential_29\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_29 (LSTM)              (None, 25)                2800      \n",
      "                                                                 \n",
      " dense_29 (Dense)            (None, 2)                 52        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,852\n",
      "Trainable params: 2,852\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Epoch 1/10\n",
      "61/61 [==============================] - 8s 122ms/step - loss: 0.6929 - accuracy: 0.5098 - val_loss: 0.6927 - val_accuracy: 0.5075\n",
      "Epoch 2/10\n",
      "61/61 [==============================] - 7s 112ms/step - loss: 0.6922 - accuracy: 0.5199 - val_loss: 0.6924 - val_accuracy: 0.5153\n",
      "Epoch 3/10\n",
      "61/61 [==============================] - 7s 114ms/step - loss: 0.6917 - accuracy: 0.5224 - val_loss: 0.6922 - val_accuracy: 0.5149\n",
      "Epoch 4/10\n",
      "61/61 [==============================] - 7s 112ms/step - loss: 0.6911 - accuracy: 0.5255 - val_loss: 0.6915 - val_accuracy: 0.5189\n",
      "Epoch 5/10\n",
      "61/61 [==============================] - 7s 119ms/step - loss: 0.6901 - accuracy: 0.5325 - val_loss: 0.6898 - val_accuracy: 0.5284\n",
      "Epoch 6/10\n",
      "61/61 [==============================] - 7s 116ms/step - loss: 0.6877 - accuracy: 0.5413 - val_loss: 0.6854 - val_accuracy: 0.5694\n",
      "Epoch 7/10\n",
      "61/61 [==============================] - 7s 111ms/step - loss: 0.6819 - accuracy: 0.5777 - val_loss: 0.6797 - val_accuracy: 0.5821\n",
      "Epoch 8/10\n",
      "61/61 [==============================] - 7s 115ms/step - loss: 0.6749 - accuracy: 0.6157 - val_loss: 0.6763 - val_accuracy: 0.5408\n",
      "Epoch 9/10\n",
      "61/61 [==============================] - 7s 111ms/step - loss: 0.6660 - accuracy: 0.6377 - val_loss: 0.6642 - val_accuracy: 0.6040\n",
      "Epoch 10/10\n",
      "61/61 [==============================] - 7s 115ms/step - loss: 0.6546 - accuracy: 0.6709 - val_loss: 0.6524 - val_accuracy: 0.6366\n",
      "history {'loss': [0.6928791999816895, 0.6921778917312622, 0.6917433142662048, 0.6910843849182129, 0.6900744438171387, 0.6876522898674011, 0.6819331049919128, 0.6748693585395813, 0.6659955382347107, 0.6546031832695007], 'accuracy': [0.5098323822021484, 0.5199226140975952, 0.5224049091339111, 0.525499701499939, 0.5324629545211792, 0.5413281917572021, 0.5776917934417725, 0.6156672835350037, 0.637653112411499, 0.6709219813346863], 'val_loss': [0.6926892399787903, 0.6923678517341614, 0.6921775937080383, 0.691543459892273, 0.6897781491279602, 0.6853509545326233, 0.6797018647193909, 0.6763328909873962, 0.6642458438873291, 0.6523988842964172], 'val_accuracy': [0.5075435042381287, 0.5152804851531982, 0.5148935914039612, 0.5188910365104675, 0.5284332633018494, 0.5694390535354614, 0.5820760726928711, 0.5408123731613159, 0.6039974093437195, 0.6366215348243713]}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result :  Long   -0.000305\n",
      "dtype: float64\n",
      "\n",
      "Average returns\n",
      "Mean \t\t -0.0003054921446345726\n",
      "Standard dev \t 0.010831122096196423\n",
      "--->test_year<--- 2013\n",
      "stock_names 79\n",
      "Model: \"sequential_30\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_30 (LSTM)              (None, 25)                2800      \n",
      "                                                                 \n",
      " dense_30 (Dense)            (None, 2)                 52        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,852\n",
      "Trainable params: 2,852\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Epoch 1/10\n",
      "64/64 [==============================] - 8s 119ms/step - loss: 0.6930 - accuracy: 0.5084 - val_loss: 0.6926 - val_accuracy: 0.5195\n",
      "Epoch 2/10\n",
      "64/64 [==============================] - 7s 112ms/step - loss: 0.6923 - accuracy: 0.5177 - val_loss: 0.6936 - val_accuracy: 0.5026\n",
      "Epoch 3/10\n",
      "64/64 [==============================] - 7s 112ms/step - loss: 0.6917 - accuracy: 0.5239 - val_loss: 0.6934 - val_accuracy: 0.5015\n",
      "Epoch 4/10\n",
      "64/64 [==============================] - 7s 112ms/step - loss: 0.6911 - accuracy: 0.5298 - val_loss: 0.6930 - val_accuracy: 0.5085\n",
      "Epoch 5/10\n",
      "64/64 [==============================] - 7s 111ms/step - loss: 0.6902 - accuracy: 0.5363 - val_loss: 0.6908 - val_accuracy: 0.5278\n",
      "Epoch 6/10\n",
      "64/64 [==============================] - 7s 112ms/step - loss: 0.6884 - accuracy: 0.5453 - val_loss: 0.6910 - val_accuracy: 0.5226\n",
      "Epoch 7/10\n",
      "64/64 [==============================] - 7s 113ms/step - loss: 0.6856 - accuracy: 0.5533 - val_loss: 0.6867 - val_accuracy: 0.5473\n",
      "Epoch 8/10\n",
      "64/64 [==============================] - 7s 117ms/step - loss: 0.6818 - accuracy: 0.5655 - val_loss: 0.6813 - val_accuracy: 0.5699\n",
      "Epoch 9/10\n",
      "64/64 [==============================] - 8s 130ms/step - loss: 0.6768 - accuracy: 0.5828 - val_loss: 0.6763 - val_accuracy: 0.5874\n",
      "Epoch 10/10\n",
      "64/64 [==============================] - 7s 114ms/step - loss: 0.6694 - accuracy: 0.6063 - val_loss: 0.6684 - val_accuracy: 0.5936\n",
      "history {'loss': [0.6929872632026672, 0.6922998428344727, 0.6916806101799011, 0.6910800933837891, 0.6901634931564331, 0.6884457468986511, 0.6856054663658142, 0.6818016171455383, 0.6768234968185425, 0.6693998575210571], 'accuracy': [0.5084183216094971, 0.5177276730537415, 0.5239031314849854, 0.5297713875770569, 0.5362541675567627, 0.5452562570571899, 0.5532751679420471, 0.5655032396316528, 0.5828008055686951, 0.6063352823257446], 'val_loss': [0.692645251750946, 0.6935997605323792, 0.6933756470680237, 0.6929588913917542, 0.6907700896263123, 0.6909720301628113, 0.6867122054100037, 0.681287407875061, 0.676329493522644, 0.6684339642524719], 'val_accuracy': [0.5194789171218872, 0.5026422739028931, 0.5015361905097961, 0.5085412263870239, 0.5278357863426208, 0.5225512981414795, 0.5472533106803894, 0.5698660612106323, 0.5874400734901428, 0.5935848355293274]}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result :  Long    0.000411\n",
      "dtype: float64\n",
      "\n",
      "Average returns\n",
      "Mean \t\t 0.0004107939622285804\n",
      "Standard dev \t 0.008666077353940758\n",
      "--->test_year<--- 2014\n",
      "stock_names 81\n",
      "Model: \"sequential_31\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_31 (LSTM)              (None, 25)                2800      \n",
      "                                                                 \n",
      " dense_31 (Dense)            (None, 2)                 52        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,852\n",
      "Trainable params: 2,852\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Epoch 1/10\n",
      "66/66 [==============================] - 9s 118ms/step - loss: 0.6929 - accuracy: 0.5133 - val_loss: 0.6944 - val_accuracy: 0.4967\n",
      "Epoch 2/10\n",
      "66/66 [==============================] - 8s 114ms/step - loss: 0.6919 - accuracy: 0.5243 - val_loss: 0.6920 - val_accuracy: 0.5233\n",
      "Epoch 3/10\n",
      "66/66 [==============================] - 8s 114ms/step - loss: 0.6911 - accuracy: 0.5258 - val_loss: 0.6926 - val_accuracy: 0.5085\n",
      "Epoch 4/10\n",
      "66/66 [==============================] - 8s 114ms/step - loss: 0.6900 - accuracy: 0.5335 - val_loss: 0.6950 - val_accuracy: 0.5009\n",
      "Epoch 5/10\n",
      "66/66 [==============================] - 8s 114ms/step - loss: 0.6889 - accuracy: 0.5381 - val_loss: 0.6916 - val_accuracy: 0.5225\n",
      "Epoch 6/10\n",
      "66/66 [==============================] - 8s 117ms/step - loss: 0.6872 - accuracy: 0.5470 - val_loss: 0.6908 - val_accuracy: 0.5282\n",
      "Epoch 7/10\n",
      "66/66 [==============================] - 8s 116ms/step - loss: 0.6856 - accuracy: 0.5540 - val_loss: 0.6876 - val_accuracy: 0.5381\n",
      "Epoch 8/10\n",
      "66/66 [==============================] - 7s 114ms/step - loss: 0.6825 - accuracy: 0.5626 - val_loss: 0.6816 - val_accuracy: 0.5648\n",
      "Epoch 9/10\n",
      "66/66 [==============================] - 8s 117ms/step - loss: 0.6785 - accuracy: 0.5781 - val_loss: 0.6814 - val_accuracy: 0.5552\n",
      "Epoch 10/10\n",
      "66/66 [==============================] - 8s 116ms/step - loss: 0.6732 - accuracy: 0.5992 - val_loss: 0.6798 - val_accuracy: 0.5429\n",
      "history {'loss': [0.6928756833076477, 0.6918811798095703, 0.6911023259162903, 0.6900481581687927, 0.6889392137527466, 0.6872201561927795, 0.6855863928794861, 0.682529866695404, 0.6785277724266052, 0.6732162833213806], 'accuracy': [0.513304591178894, 0.5243018269538879, 0.5258000493049622, 0.5334711670875549, 0.5380858182907104, 0.5470154881477356, 0.5539973378181458, 0.562597393989563, 0.5780894160270691, 0.5992448925971985], 'val_loss': [0.6944382190704346, 0.6919639706611633, 0.6925690174102783, 0.6950439810752869, 0.6916117668151855, 0.6907836198806763, 0.6876039505004883, 0.6815623641014099, 0.6814346313476562, 0.6797649264335632], 'val_accuracy': [0.4967038333415985, 0.5233129858970642, 0.5084502100944519, 0.5008989572525024, 0.522473931312561, 0.5282272696495056, 0.5380558371543884, 0.564784824848175, 0.5551959872245789, 0.5428503155708313]}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result :  Long   -0.00021\n",
      "dtype: float64\n",
      "\n",
      "Average returns\n",
      "Mean \t\t -0.0002095180648680775\n",
      "Standard dev \t 0.01043625269497209\n",
      "--->test_year<--- 2015\n",
      "stock_names 81\n",
      "Model: \"sequential_32\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_32 (LSTM)              (None, 25)                2800      \n",
      "                                                                 \n",
      " dense_32 (Dense)            (None, 2)                 52        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,852\n",
      "Trainable params: 2,852\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Epoch 1/10\n",
      "66/66 [==============================] - 9s 120ms/step - loss: 0.6926 - accuracy: 0.5151 - val_loss: 0.6923 - val_accuracy: 0.5336\n",
      "Epoch 2/10\n",
      "66/66 [==============================] - 7s 112ms/step - loss: 0.6913 - accuracy: 0.5272 - val_loss: 0.6926 - val_accuracy: 0.5087\n",
      "Epoch 3/10\n",
      "66/66 [==============================] - 8s 114ms/step - loss: 0.6903 - accuracy: 0.5342 - val_loss: 0.6905 - val_accuracy: 0.5346\n",
      "Epoch 4/10\n",
      "66/66 [==============================] - 7s 112ms/step - loss: 0.6885 - accuracy: 0.5408 - val_loss: 0.6904 - val_accuracy: 0.5256\n",
      "Epoch 5/10\n",
      "66/66 [==============================] - 7s 113ms/step - loss: 0.6865 - accuracy: 0.5497 - val_loss: 0.6874 - val_accuracy: 0.5394\n",
      "Epoch 6/10\n",
      "66/66 [==============================] - 7s 108ms/step - loss: 0.6839 - accuracy: 0.5588 - val_loss: 0.6843 - val_accuracy: 0.5539\n",
      "Epoch 7/10\n",
      "66/66 [==============================] - 7s 111ms/step - loss: 0.6806 - accuracy: 0.5700 - val_loss: 0.6813 - val_accuracy: 0.5735\n",
      "Epoch 8/10\n",
      "66/66 [==============================] - 7s 112ms/step - loss: 0.6776 - accuracy: 0.5789 - val_loss: 0.6782 - val_accuracy: 0.5743\n",
      "Epoch 9/10\n",
      "66/66 [==============================] - 7s 112ms/step - loss: 0.6733 - accuracy: 0.5923 - val_loss: 0.6750 - val_accuracy: 0.5836\n",
      "Epoch 10/10\n",
      "66/66 [==============================] - 8s 122ms/step - loss: 0.6668 - accuracy: 0.6093 - val_loss: 0.6673 - val_accuracy: 0.5944\n",
      "history {'loss': [0.6926290392875671, 0.6913217902183533, 0.6902814507484436, 0.6885329484939575, 0.6865055561065674, 0.6839029788970947, 0.6805707216262817, 0.6776020526885986, 0.6733002066612244, 0.6668098568916321], 'accuracy': [0.5151025056838989, 0.5272084474563599, 0.5341603755950928, 0.5408126711845398, 0.5497123599052429, 0.5588217377662659, 0.5699988007545471, 0.5788685083389282, 0.5923228859901428, 0.6093431711196899], 'val_loss': [0.6922883987426758, 0.6926082968711853, 0.6904799342155457, 0.6904188394546509, 0.6874415874481201, 0.6843213438987732, 0.6813070774078369, 0.6782093644142151, 0.6749582886695862, 0.6672952175140381], 'val_accuracy': [0.5336210131645203, 0.5086899399757385, 0.534579873085022, 0.5255903005599976, 0.5393743515014648, 0.5538774728775024, 0.5735347270965576, 0.5742538571357727, 0.583603024482727, 0.5943905115127563]}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result :  Long    0.000708\n",
      "dtype: float64\n",
      "\n",
      "Average returns\n",
      "Mean \t\t 0.000708274524310989\n",
      "Standard dev \t 0.010539187431023733\n",
      "--->test_year<--- 2016\n",
      "stock_names 84\n",
      "Model: \"sequential_33\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_33 (LSTM)              (None, 25)                2800      \n",
      "                                                                 \n",
      " dense_33 (Dense)            (None, 2)                 52        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,852\n",
      "Trainable params: 2,852\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Epoch 1/10\n",
      "68/68 [==============================] - 9s 115ms/step - loss: 0.6939 - accuracy: 0.4998 - val_loss: 0.6930 - val_accuracy: 0.5026\n",
      "Epoch 2/10\n",
      "68/68 [==============================] - 8s 113ms/step - loss: 0.6921 - accuracy: 0.5230 - val_loss: 0.6927 - val_accuracy: 0.4914\n",
      "Epoch 3/10\n",
      "68/68 [==============================] - 8s 113ms/step - loss: 0.6905 - accuracy: 0.5402 - val_loss: 0.6887 - val_accuracy: 0.5292\n",
      "Epoch 4/10\n",
      "68/68 [==============================] - 8s 114ms/step - loss: 0.6875 - accuracy: 0.5579 - val_loss: 0.6846 - val_accuracy: 0.5778\n",
      "Epoch 5/10\n",
      "68/68 [==============================] - 8s 115ms/step - loss: 0.6832 - accuracy: 0.5726 - val_loss: 0.6804 - val_accuracy: 0.5838\n",
      "Epoch 6/10\n",
      "68/68 [==============================] - 8s 114ms/step - loss: 0.6774 - accuracy: 0.5860 - val_loss: 0.6792 - val_accuracy: 0.5551\n",
      "Epoch 7/10\n",
      "68/68 [==============================] - 8s 114ms/step - loss: 0.6699 - accuracy: 0.5990 - val_loss: 0.6662 - val_accuracy: 0.5892\n",
      "Epoch 8/10\n",
      "68/68 [==============================] - 8s 113ms/step - loss: 0.6601 - accuracy: 0.6198 - val_loss: 0.6657 - val_accuracy: 0.5815\n",
      "Epoch 9/10\n",
      "68/68 [==============================] - 8s 115ms/step - loss: 0.6473 - accuracy: 0.6442 - val_loss: 0.6412 - val_accuracy: 0.6510\n",
      "Epoch 10/10\n",
      "68/68 [==============================] - 8s 119ms/step - loss: 0.6302 - accuracy: 0.6690 - val_loss: 0.6185 - val_accuracy: 0.6786\n",
      "history {'loss': [0.6939237713813782, 0.6920710206031799, 0.6905072927474976, 0.6875441670417786, 0.6832183003425598, 0.6774179935455322, 0.6698668599128723, 0.6600544452667236, 0.6472775340080261, 0.6302380561828613], 'accuracy': [0.4998272955417633, 0.5230268836021423, 0.5401819348335266, 0.5579125881195068, 0.5726210474967957, 0.5860341787338257, 0.5990443825721741, 0.6198261380195618, 0.6442346572875977, 0.6690173149108887], 'val_loss': [0.6929752230644226, 0.6926531195640564, 0.6886537671089172, 0.6846122145652771, 0.6804466247558594, 0.6792304515838623, 0.6661881804466248, 0.6656749844551086, 0.6411831378936768, 0.6184952259063721], 'val_accuracy': [0.5026479363441467, 0.4913654029369354, 0.5292424559593201, 0.5778263807296753, 0.5838130116462708, 0.5551462173461914, 0.5892240405082703, 0.5815104842185974, 0.6510476469993591, 0.6785631775856018]}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result :  Long    0.000987\n",
      "dtype: float64\n",
      "\n",
      "Average returns\n",
      "Mean \t\t 0.000987341746080297\n",
      "Standard dev \t 0.011868844390317851\n",
      "--->test_year<--- 2017\n",
      "stock_names 84\n",
      "Model: \"sequential_34\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_34 (LSTM)              (None, 25)                2800      \n",
      "                                                                 \n",
      " dense_34 (Dense)            (None, 2)                 52        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,852\n",
      "Trainable params: 2,852\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Epoch 1/10\n",
      "68/68 [==============================] - 9s 117ms/step - loss: 0.6926 - accuracy: 0.5146 - val_loss: 0.6920 - val_accuracy: 0.5196\n",
      "Epoch 2/10\n",
      "68/68 [==============================] - 8s 113ms/step - loss: 0.6915 - accuracy: 0.5270 - val_loss: 0.6905 - val_accuracy: 0.5568\n",
      "Epoch 3/10\n",
      "68/68 [==============================] - 8s 113ms/step - loss: 0.6902 - accuracy: 0.5386 - val_loss: 0.6891 - val_accuracy: 0.5237\n",
      "Epoch 4/10\n",
      "68/68 [==============================] - 8s 119ms/step - loss: 0.6884 - accuracy: 0.5492 - val_loss: 0.6864 - val_accuracy: 0.5771\n",
      "Epoch 5/10\n",
      "68/68 [==============================] - 8s 117ms/step - loss: 0.6851 - accuracy: 0.5592 - val_loss: 0.6863 - val_accuracy: 0.5260\n",
      "Epoch 6/10\n",
      "68/68 [==============================] - 8s 121ms/step - loss: 0.6815 - accuracy: 0.5704 - val_loss: 0.6800 - val_accuracy: 0.5693\n",
      "Epoch 7/10\n",
      "68/68 [==============================] - 8s 120ms/step - loss: 0.6762 - accuracy: 0.5927 - val_loss: 0.6748 - val_accuracy: 0.5751\n",
      "Epoch 8/10\n",
      "68/68 [==============================] - 8s 114ms/step - loss: 0.6697 - accuracy: 0.6087 - val_loss: 0.6635 - val_accuracy: 0.6432\n",
      "Epoch 9/10\n",
      "68/68 [==============================] - 8s 120ms/step - loss: 0.6598 - accuracy: 0.6346 - val_loss: 0.6513 - val_accuracy: 0.6627\n",
      "Epoch 10/10\n",
      "68/68 [==============================] - 8s 118ms/step - loss: 0.6455 - accuracy: 0.6692 - val_loss: 0.6346 - val_accuracy: 0.7020\n",
      "history {'loss': [0.6925897002220154, 0.6915475726127625, 0.6901775002479553, 0.6884133815765381, 0.6851009726524353, 0.6815432906150818, 0.6761634349822998, 0.6697452664375305, 0.659774899482727, 0.6454662084579468], 'accuracy': [0.5146220922470093, 0.5269989967346191, 0.5386276245117188, 0.5491911768913269, 0.5591790676116943, 0.570433497428894, 0.5927119851112366, 0.6086581349372864, 0.6345921158790588, 0.6691612601280212], 'val_loss': [0.692030131816864, 0.6904594898223877, 0.6890552639961243, 0.6863823533058167, 0.6863056421279907, 0.6799901723861694, 0.6748362183570862, 0.6635421514511108, 0.6513272523880005, 0.6345760226249695], 'val_accuracy': [0.5195717215538025, 0.5567579865455627, 0.5237163305282593, 0.5771356225013733, 0.5260188579559326, 0.5693069100379944, 0.5750633478164673, 0.643218994140625, 0.6626755595207214, 0.7020492553710938]}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result :  Long   -0.000093\n",
      "dtype: float64\n",
      "\n",
      "Average returns\n",
      "Mean \t\t -9.254764538553778e-05\n",
      "Standard dev \t 0.006818533518770344\n",
      "--->test_year<--- 2018\n",
      "stock_names 85\n",
      "Model: \"sequential_35\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_35 (LSTM)              (None, 25)                2800      \n",
      "                                                                 \n",
      " dense_35 (Dense)            (None, 2)                 52        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,852\n",
      "Trainable params: 2,852\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Epoch 1/10\n",
      "69/69 [==============================] - 9s 115ms/step - loss: 0.6935 - accuracy: 0.5027 - val_loss: 0.6937 - val_accuracy: 0.5080\n",
      "Epoch 2/10\n",
      "69/69 [==============================] - 8s 116ms/step - loss: 0.6930 - accuracy: 0.5068 - val_loss: 0.6928 - val_accuracy: 0.5080\n",
      "Epoch 3/10\n",
      "69/69 [==============================] - 8s 112ms/step - loss: 0.6928 - accuracy: 0.5098 - val_loss: 0.6921 - val_accuracy: 0.5103\n",
      "Epoch 4/10\n",
      "69/69 [==============================] - 7s 109ms/step - loss: 0.6920 - accuracy: 0.5215 - val_loss: 0.6911 - val_accuracy: 0.5418\n",
      "Epoch 5/10\n",
      "69/69 [==============================] - 8s 115ms/step - loss: 0.6908 - accuracy: 0.5346 - val_loss: 0.6893 - val_accuracy: 0.5453\n",
      "Epoch 6/10\n",
      "69/69 [==============================] - 8s 114ms/step - loss: 0.6887 - accuracy: 0.5421 - val_loss: 0.6865 - val_accuracy: 0.5975\n",
      "Epoch 7/10\n",
      "69/69 [==============================] - 8s 116ms/step - loss: 0.6855 - accuracy: 0.5654 - val_loss: 0.6855 - val_accuracy: 0.5242\n",
      "Epoch 8/10\n",
      "69/69 [==============================] - 8s 112ms/step - loss: 0.6809 - accuracy: 0.5839 - val_loss: 0.6783 - val_accuracy: 0.6244\n",
      "Epoch 9/10\n",
      "69/69 [==============================] - 8s 113ms/step - loss: 0.6744 - accuracy: 0.6151 - val_loss: 0.6827 - val_accuracy: 0.5141\n",
      "Epoch 10/10\n",
      "69/69 [==============================] - 8s 113ms/step - loss: 0.6670 - accuracy: 0.6359 - val_loss: 0.6632 - val_accuracy: 0.6446\n",
      "history {'loss': [0.6935093402862549, 0.6930309534072876, 0.6927750706672668, 0.6920197010040283, 0.690839946269989, 0.6886706352233887, 0.6854641437530518, 0.6809395551681519, 0.6743893027305603, 0.6669657230377197], 'accuracy': [0.5027074813842773, 0.5068114399909973, 0.5098039507865906, 0.5214888453483582, 0.534598708152771, 0.5420941710472107, 0.5654354691505432, 0.5839318037033081, 0.6150820851325989, 0.6358869075775146], 'val_loss': [0.6936752200126648, 0.6927788257598877, 0.6921004056930542, 0.6910919547080994, 0.6893333792686462, 0.6864643096923828, 0.6854820251464844, 0.6782850623130798, 0.6826513409614563, 0.6632291674613953], 'val_accuracy': [0.5079799294471741, 0.5079799294471741, 0.5102599263191223, 0.5418376922607422, 0.5452576279640198, 0.5974692106246948, 0.5241678357124329, 0.6243730187416077, 0.5141358971595764, 0.6445508599281311]}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result :  Long    0.000112\n",
      "dtype: float64\n",
      "\n",
      "Average returns\n",
      "Mean \t\t 0.00011206797606126179\n",
      "Standard dev \t 0.013777483348781315\n",
      "--->test_year<--- 2019\n",
      "stock_names 88\n",
      "Model: \"sequential_36\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " lstm_36 (LSTM)              (None, 25)                2800      \n",
      "                                                                 \n",
      " dense_36 (Dense)            (None, 2)                 52        \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 2,852\n",
      "Trainable params: 2,852\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "Epoch 1/10\n",
      "71/71 [==============================] - 9s 115ms/step - loss: 0.6925 - accuracy: 0.5134 - val_loss: 0.6930 - val_accuracy: 0.4975\n",
      "Epoch 2/10\n",
      "71/71 [==============================] - 8s 113ms/step - loss: 0.6914 - accuracy: 0.5265 - val_loss: 0.6909 - val_accuracy: 0.5152\n",
      "Epoch 3/10\n",
      "71/71 [==============================] - 8s 113ms/step - loss: 0.6904 - accuracy: 0.5362 - val_loss: 0.6892 - val_accuracy: 0.5595\n",
      "Epoch 4/10\n",
      "71/71 [==============================] - 8s 112ms/step - loss: 0.6887 - accuracy: 0.5460 - val_loss: 0.6884 - val_accuracy: 0.5231\n",
      "Epoch 5/10\n",
      "71/71 [==============================] - 8s 114ms/step - loss: 0.6856 - accuracy: 0.5623 - val_loss: 0.6833 - val_accuracy: 0.5602\n",
      "Epoch 6/10\n",
      "71/71 [==============================] - 8s 113ms/step - loss: 0.6814 - accuracy: 0.5703 - val_loss: 0.6783 - val_accuracy: 0.6025\n",
      "Epoch 7/10\n",
      "71/71 [==============================] - 8s 114ms/step - loss: 0.6753 - accuracy: 0.5931 - val_loss: 0.6708 - val_accuracy: 0.6392\n",
      "Epoch 8/10\n",
      "71/71 [==============================] - 8s 115ms/step - loss: 0.6647 - accuracy: 0.6353 - val_loss: 0.6589 - val_accuracy: 0.6724\n",
      "Epoch 9/10\n",
      "71/71 [==============================] - 8s 113ms/step - loss: 0.6514 - accuracy: 0.6590 - val_loss: 0.6444 - val_accuracy: 0.7023\n",
      "Epoch 10/10\n",
      "71/71 [==============================] - 8s 113ms/step - loss: 0.6356 - accuracy: 0.6809 - val_loss: 0.6286 - val_accuracy: 0.6761\n",
      "history {'loss': [0.692534327507019, 0.6914462447166443, 0.690398097038269, 0.6886988878250122, 0.6856247782707214, 0.6814208626747131, 0.6753068566322327, 0.6647406816482544, 0.6513738632202148, 0.6355500221252441], 'accuracy': [0.5134322643280029, 0.5264508128166199, 0.5361595153808594, 0.5460337400436401, 0.5623069405555725, 0.5702504515647888, 0.5931156277656555, 0.6353155374526978, 0.6590357422828674, 0.6809079647064209], 'val_loss': [0.6929940581321716, 0.6908637285232544, 0.6891779899597168, 0.6884133219718933, 0.6833432912826538, 0.6782544255256653, 0.67079758644104, 0.6589080095291138, 0.644392192363739, 0.6285985708236694], 'val_accuracy': [0.4974624812602997, 0.5152250528335571, 0.5594660043716431, 0.5230582356452942, 0.5602383017539978, 0.602493405342102, 0.6392320990562439, 0.6724404096603394, 0.7023389339447021, 0.6760811805725098]}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x300 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Result :  Long    0.000455\n",
      "dtype: float64\n",
      "\n",
      "Average returns\n",
      "Mean \t\t 0.00045520345657965836\n",
      "Standard dev \t 0.009600684950465309\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Dataset link: https://www.kaggle.com/datasets/svaningelgem/nasdaq-100-daily-stock-prices?select=CEG.csv\n",
    "# NASDAQ100 link: https://www.kaggle.com/datasets/guillemservera/sp500-nasdaq-spy-qqq-ohlcv-data\n",
    "# CODE REFERENCE: https://github.com/krishnaik06/Stock-MArket-Forecasting/blob/master/Untitled.ipynb\n",
    "# Steps to be followed:\n",
    "# 1. Select all the stocks which are present between 2000 and 2020 not more than 20.\n",
    "# 2. Feature generation\n",
    "# For each time step of 240\n",
    "# Generate Intraday price change with respect to open price.\n",
    "# Generate Nextday return price with respect to next day's open price\n",
    "# Generate Closing price change.\n",
    "# This should generate 240*3 columns which will be split into 240*3 dimensional array for training LSTM.\n",
    "# As an extra step append nasdaq open and close price to each of the stock data which will be selected.\n",
    "# Train and test.\n",
    "import os\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import warnings\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import LSTM, Dense\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "import sys\n",
    "from keras.optimizers import RMSprop\n",
    "import matplotlib.pyplot as plt\n",
    "from keras.utils import to_categorical\n",
    "\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "# Normalize the data to the range [0, 1]\n",
    "scaler = MinMaxScaler()\n",
    "nasdaq_folder_path = 'nasdaq100_stock_data'\n",
    "# test__stockfiles_array = ['CSCO.csv','VRTX.csv','GILD.csv','MCHP.csv','CDNS.csv','CCEP.csv','ADI.csv','ADBE.csv','CPRT.csv','PEP.csv']\n",
    "test__stockfiles_array = ['AAPL.csv']\n",
    "\n",
    "def get_filtered_stock_data(test_year):\n",
    "    filtered_data = pd.DataFrame()\n",
    "    for file in os.listdir(nasdaq_folder_path):\n",
    "        if file.endswith('.csv'):\n",
    "            file_path = os.path.join(nasdaq_folder_path, file)\n",
    "            df = pd.read_csv(file_path)\n",
    "            if 'date' in df.columns:\n",
    "                start_date = str(test_year - 3) + '-01-01'\n",
    "                end_date = str(test_year) + '-12-31'\n",
    "                filtered_df = df[(df['date'] >= start_date) & (df['date'] <= end_date)]\n",
    "                if len(filtered_df) >= 1004 and file != 'NASDAQ_100.csv':\n",
    "                    filtered_data = pd.concat([filtered_data, filtered_df])\n",
    "    # Reset index of the filtered data\n",
    "    filtered_data.reset_index(drop=True,inplace=True)\n",
    "    return filtered_data\n",
    "\n",
    "def merge_nasdaq_and_constituents(filtered_stock_data):\n",
    "    # Read the nasdaq.csv file\n",
    "    nasdaq_df = pd.read_csv(nasdaq_folder_path + '/NASDAQ_100.csv')\n",
    "    nasdaq_df = nasdaq_df.drop(['volume', 'change_percent', 'avg_vol_20d', 'low', 'high'], axis=1)\n",
    "    filtered_stock_data['date1'] = filtered_stock_data['date']\n",
    "    filtered_stock_data = filtered_stock_data.set_index('date')\n",
    "    nasdaq_df = nasdaq_df.set_index('date')\n",
    "    nasdaq_df.columns = 'nasdaq_' + nasdaq_df.columns.values\n",
    "    # Merge nasdaq data with filtered stock data\n",
    "    merged_stock_data = pd.merge(filtered_stock_data, nasdaq_df, left_index=True, right_index=True)\n",
    "    # Sort data by stock and then date.\n",
    "    merged_stock_data = merged_stock_data.sort_values(by=['ticker','date'])\n",
    "    return merged_stock_data\n",
    "\n",
    "# Define a function to assign labels based on a threshold parameter\n",
    "def assign_label_based_on_threshold(intraday_return, threshold):\n",
    "    if intraday_return >= threshold:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "\n",
    "def generate_labels(merged_stock_data):\n",
    "    unique_dates = merged_stock_data['date1'].unique()\n",
    "    all_stocks_ir = pd.DataFrame([])\n",
    "    date_to_median_map = {}\n",
    "    for date in unique_dates:\n",
    "        all_stocks_ir = merged_stock_data[(merged_stock_data['date1'] == date)].copy()\n",
    "        # Calculate all intraday returns for all stocks and calculate median\n",
    "        all_stocks_ir['intraday_returns'] = all_stocks_ir['open'] / all_stocks_ir['close'] - 1\n",
    "        current_date_median = all_stocks_ir['intraday_returns'].median()\n",
    "        date_to_median_map[date] = current_date_median\n",
    "    # Calculate target value, if greater or equal to cross median then assign 1 else assign 0\n",
    "    merged_stock_data['label'] = merged_stock_data.apply(\n",
    "        lambda row: 1 if row['open'] / row['close'] - 1 >= date_to_median_map[row['date1']] else 0, axis=1)\n",
    "\n",
    "    return merged_stock_data\n",
    "\n",
    "# feature generation\n",
    "def generate_features(merged_stock_data, m=240):\n",
    "    stock_data = pd.DataFrame([])\n",
    "    stock_names = merged_stock_data['ticker'].unique()\n",
    "    print('stock_names',len(stock_names))\n",
    "    train_data,test_data = [], []\n",
    "    for stock_name in stock_names:\n",
    "        stock_data = merged_stock_data[(merged_stock_data['ticker'] == stock_name)]\n",
    "        generated_data = pd.DataFrame([])\n",
    "            \n",
    "        intraday_returns = stock_data['close'] / stock_data['open'] - 1\n",
    "        nasdaq_intraday_change = stock_data['nasdaq_close'] / stock_data['nasdaq_open'] - 1\n",
    "\n",
    "        for i in range(m)[::-1]:\n",
    "            generated_data['intra_day_r'+str(i)] = intraday_returns.shift(i)\n",
    "            generated_data['nasdaq_intra_day_r'+str(i)] = nasdaq_intraday_change.shift(i)\n",
    "        \n",
    "        generated_data['intraday_return_future'] = intraday_returns.shift(-1) \n",
    "\n",
    "        generated_data['label'] = list(stock_data['label'])\n",
    "        generated_data['month'] = list(stock_data['date1'].str[:-3])\n",
    "        generated_data['date'] = list(stock_data['date1'])\n",
    "        generated_data['stock_name'] = stock_name\n",
    "        generated_data = generated_data.dropna()\n",
    "#         print('generated_data', generated_data[generated_data['date']=='2003-01-02'])\n",
    "        \n",
    "        trade_year = generated_data['month'].str[:4]\n",
    "        generated_data = generated_data.drop(columns=['month'])\n",
    "        st_train_data = generated_data[trade_year<str(test_year)]\n",
    "\n",
    "        st_test_data = generated_data[trade_year==str(test_year)]\n",
    "        train_data.append(st_train_data)\n",
    "        test_data.append(st_test_data)\n",
    "    return np.array(train_data),np.array(test_data) \n",
    "\n",
    "def scalar_normalize(train_data,test_data):\n",
    "    scaler.fit(train_data[:, :-4])\n",
    "    train_data[:, :-4] = scaler.transform(train_data[:, :-4])\n",
    "    test_data[:, :-4] = scaler.transform(test_data[:, :-4])  \n",
    "\n",
    "def reshape_data(arr):\n",
    "    arr = np.array(np.split(arr, 2, axis=1))\n",
    "#     arr = np.array(np.split(arr, 1, axis=1))\n",
    "    arr = np.swapaxes(arr, 0, 1)\n",
    "    arr = np.swapaxes(arr, 1, 2)\n",
    "    return arr\n",
    "\n",
    "def create_and_train_model(train_data):\n",
    "    # intraday_future, label, date, stock   \n",
    "    train_x, train_y = train_data[:, :-4], train_data[:, -3]\n",
    "\n",
    "    train_x = reshape_data(train_x)\n",
    "    train_x = np.asarray(train_x).astype(np.float32)\n",
    "    train_y = np.reshape(train_y, (-1,1))\n",
    "    train_y = train_y.astype(np.float32)\n",
    "    train_y = to_categorical(train_y)\n",
    "    enc = OneHotEncoder(handle_unknown='ignore')\n",
    "    enc.fit(train_y)\n",
    "    enc_y = enc.transform(train_y).toarray()\n",
    "\n",
    "    model = Sequential()\n",
    "    model.add(LSTM(25, input_shape=(240, 2)))\n",
    "#     model.add(LSTM(25, input_shape=(240, 1)))\n",
    "    model.add(Dense(2, activation='softmax'))\n",
    "    optimizer = RMSprop(learning_rate=0.001)\n",
    "    model.compile(optimizer=optimizer, loss='categorical_crossentropy', metrics=['accuracy'])\n",
    "    model.summary()\n",
    "    history = model.fit(train_x, train_y, epochs=10, validation_split=0.2, batch_size=512)\n",
    "    return model, history\n",
    "    \n",
    "def simulate(test_data, predictions):\n",
    "#     rets = pd.DataFrame([],columns=['Long','Short'])\n",
    "    rets = pd.DataFrame([],columns=['Long'])\n",
    "    k = 10\n",
    "#     k = 5\n",
    "#     test_returns = test_data[test_data[:,-2] == '2003-01-02'][:,-4]\n",
    "\n",
    "    for day in sorted(predictions.keys()):\n",
    "        x = test_data[test_data[:,-2] == day]\n",
    "        test_returns = x[:,-4]\n",
    "        stocks = x[:,-1]\n",
    "        arr = []\n",
    "        for j in range(len(x)):\n",
    "            obj = {\n",
    "                'stock_name': x[j][-1],\n",
    "                'intraday_returns': x[j][-5],\n",
    "                'intraday_future_returns': x[j][-4],\n",
    "                'index': j,\n",
    "                'date': day\n",
    "            }\n",
    "            arr.append(obj)\n",
    "            \n",
    "        top_stocks = predictions[day].argsort()[-k:][::-1]\n",
    "        long_stocks = test_returns[top_stocks]\n",
    "#         long_stock_names = stocks[top_stocks]\n",
    "        flop_stocks = predictions[day].argsort()[:k][::-1] \n",
    "        short_stocks = -test_returns[flop_stocks]\n",
    "#         rets.loc[day] = [np.mean(long_stocks),np.mean(short_stocks)] \n",
    "        rets.loc[day] = [np.mean(long_stocks)] \n",
    "\n",
    "    print('Result : ',rets.mean())  \n",
    "    return rets \n",
    "\n",
    "def plot_history(history, title):\n",
    "    print('history',history.history)\n",
    "    plt.figure(figsize=(10,3))\n",
    "    # Plot training & validation accuracy values\n",
    "    plt.subplot(121)\n",
    "    plt.plot(history.history['accuracy'])\n",
    "    plt.plot(history.history['val_accuracy'])\n",
    "    plt.title('Model accuracy')\n",
    "    plt.ylabel('Accuracy')\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.legend(['Train', 'Test'], loc='upper left')\n",
    "    # Plot training & validation loss values\n",
    "    plt.subplot(122)\n",
    "    plt.plot(history.history['loss'])\n",
    "    plt.plot(history.history['val_loss'])\n",
    "    plt.title('Model loss')\n",
    "    plt.xlabel('Epoch')\n",
    "    plt.ylabel('Loss')\n",
    "    plt.legend(['Train', 'Test'], loc='upper left')\n",
    "    plt.show()\n",
    "\n",
    "result_folder = 'results-intraday-240-3-LSTM'\n",
    "for directory in [result_folder]:\n",
    "    if not os.path.exists(directory):\n",
    "        os.makedirs(directory)\n",
    "\n",
    "test_years = []\n",
    "overall_mean = []\n",
    "\n",
    "# for test_year in range(2003,2004):\n",
    "for test_year in range(2012,2020):\n",
    "    print('--->test_year<---', test_year)\n",
    "    test_years.append(test_year)\n",
    "    filtered_stock_data = get_filtered_stock_data(test_year)\n",
    "    merged_stock_data = merge_nasdaq_and_constituents(filtered_stock_data)\n",
    "    merged_stock_data = generate_labels(merged_stock_data)\n",
    "    train_data, test_data = generate_features(merged_stock_data)\n",
    "    \n",
    "    train_data = np.concatenate([x for x in train_data])\n",
    "    test_data = np.concatenate([x for x in test_data])\n",
    "\n",
    "    scalar_normalize(train_data, test_data)\n",
    "    model, history = create_and_train_model(train_data)\n",
    "    plot_history(history, 'LSTM accuracy vs loss')\n",
    "    \n",
    "    dates = list(set(test_data[:,-2]))\n",
    "\n",
    "    predictions = {}\n",
    "    # Redirect stdout to a dummy stream to suppress output\n",
    "    original_stdout = sys.stdout\n",
    "    sys.stdout = open('/dev/null', 'w') \n",
    "    for day in dates:\n",
    "        test_x = test_data[test_data[:,-2]==day]\n",
    "        test_x = reshape_data(test_x[:,:-4])\n",
    "        test_x = np.asarray(test_x).astype(np.float32)\n",
    "        predictions[day] = model.predict(test_x)[:,1]\n",
    "\n",
    "    # Restore the original stdout\n",
    "    sys.stdout = original_stdout\n",
    "    returns = simulate(test_data, predictions)\n",
    "    returns.to_csv(result_folder+'/avg_daily_rets-'+str(test_year)+'.csv')\n",
    "\n",
    "    print('\\nAverage returns')\n",
    "    results = np.array(returns)\n",
    "    print('Mean \\t\\t',results.mean())\n",
    "    print('Standard dev \\t',results.std())  \n",
    "    overall_mean.append(results.mean())\n",
    "    \n",
    "    with open(result_folder+\"/avg_returns_f2_k10_e10_2012-20_long.txt\", \"a\") as myfile:\n",
    "        res = '-'*30 + '\\n'\n",
    "        res += str(test_year) + '\\n'\n",
    "        res += 'Mean = ' + str(results.mean()) + '\\n'\n",
    "        res += '-'*30 + '\\n'\n",
    "        res += 'Overall mean = ' + str(np.mean(overall_mean)) + '\\n'\n",
    "        \n",
    "        myfile.write(res)\n",
    "    \n",
    "# Create a bar chart with year-wise data\n",
    "plt.figure(figsize=(10, 6))  # Set the figure size\n",
    "\n",
    "plt.bar(test_years, overall_mean, color='skyblue')  # Create a bar chart\n",
    "plt.xlabel('Year')  # Set the x-axis label\n",
    "plt.ylabel('Returns')  # Set the y-axis label\n",
    "plt.title('Year-wise returns')  # Set the chart title\n",
    "plt.xticks(test_years)  # Set x-axis ticks to match the years\n",
    "\n",
    "plt.show()  # Display the chart\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf5b1138",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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