Reg-Prediction.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    ""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('week3.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date                       0\n",
       "Symbol                     0\n",
       "Series                     0\n",
       "Prev Close                 0\n",
       "Open Price                 0\n",
       "High Price                 0\n",
       "Low Price                  0\n",
       "Last Price                 0\n",
       "Close Price                0\n",
       "Average Price              0\n",
       "Total Traded Quantity      0\n",
       "Turnover                   0\n",
       "No. of Trades              0\n",
       "Deliverable Qty            0\n",
       "% Dly Qt to Traded Qty     0\n",
       "Month                      0\n",
       "Day_Perc_Change            0\n",
       "Trend                      0\n",
       "ave                       13\n",
       "upper                     13\n",
       "lower                     13\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(inplace=True)\n",
    "data.reset_index(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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    }
   ],
   "source": [
    "data['Call']=0\n",
    "for i in np.arange(data.ave.size):\n",
    "    if data['Average Price'][i]>=data.upper[i]:\n",
    "        print(i)\n",
    "        data['Call'][i]='Short'\n",
    "    elif data['Average Price'][i]<=data.lower[i]:\n",
    "        print(i)\n",
    "        data['Call'][i]='Buy'\n",
    "    elif (data['Average Price'][i]>data.lower[i]) and (data['Average Price'][i]<=data.upper[i]):\n",
    "        print(i)\n",
    "        data['Call'][i]='Hold Buy/Liquidate Short'\n",
    "    else : \n",
    "        print(i)\n",
    "        data['Call'][i]='Hold Short/Liquidate Buy'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Hold Buy/Liquidate Short    447\n",
       "Short                        20\n",
       "Buy                          14\n",
       "Name: Call, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.Call.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "RFX =data[['Average Price','upper','lower','ave']]\n",
    "RFY =data['Call']\n",
    "\n",
    "RFX_train, RFX_test, RFY_train, RFY_test=train_test_split(RFX,RFY,test_size=.25,random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(bootstrap=True, class_weight=None, criterion='entropy',\n",
       "            max_depth=10, max_features='auto', max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, n_estimators=200, n_jobs=-1,\n",
       "            oob_score=False, random_state=23, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "classifier = RandomForestClassifier( n_estimators=200,n_jobs=-1,criterion='entropy',random_state=23,max_depth=10)\n",
    "classifier.fit(RFX_train,RFY_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "RFY_pred= classifier.predict(RFX)\n",
    "plt.scatter(RFY,RFY_pred)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Call</th>\n",
       "      <th>Prediction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Buy</td>\n",
       "      <td>Buy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Short</td>\n",
       "      <td>Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>Buy</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>Buy</td>\n",
       "      <td>Buy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>Buy</td>\n",
       "      <td>Buy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "      <td>Hold Buy/Liquidate Short</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>481 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Call                Prediction\n",
       "0    Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "1    Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "2    Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "3    Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "4    Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "5    Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "6                         Buy                       Buy\n",
       "7    Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "8    Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "9    Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "10   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "11   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "12   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "13   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "14   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "15   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "16   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "17   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "18   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "19   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "20   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "21   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "22   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "23   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "24   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "25   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "26   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "27                      Short                     Short\n",
       "28   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "29   Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "..                        ...                       ...\n",
       "451  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "452  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "453  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "454  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "455  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "456  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "457  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "458  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "459  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "460  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "461  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "462  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "463  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "464                       Buy  Hold Buy/Liquidate Short\n",
       "465                       Buy                       Buy\n",
       "466                       Buy                       Buy\n",
       "467  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "468  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "469  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "470  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "471  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "472  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "473  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "474  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "475  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "476  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "477  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "478  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "479  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "480  Hold Buy/Liquidate Short  Hold Buy/Liquidate Short\n",
       "\n",
       "[481 rows x 2 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "check = [RFY.values,RFY_pred]\n",
    "check = pd.DataFrame(check)\n",
    "check = check.T\n",
    "check.columns=['Call','Prediction']\n",
    "check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "12\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9008264462809917"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f=0\n",
    "\n",
    "for i in np.arange(len(data.ave)):\n",
    "    if check.iloc[i,0]!=check.iloc[i,1]:\n",
    "        f=f+1\n",
    "        \n",
    "print(f)\n",
    "accuracy =(RFY_test.size-f)/RFY_test.size\n",
    "accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv('Nifty50.csv')\n",
    "data['Close Price']=data['Close']\n",
    "data['Open Price']=data['Open']\n",
    "data['High Price']=data['High']\n",
    "data['Low Price']=data['Low']\n",
    "\n",
    "data['Day_Perc_Change']=100*data['Close Price'].pct_change()\n",
    "data.iloc[0,-1]=0\n",
    "\n",
    "data['Open-Close']=(data['Open Price']-data['Close Price'])/data['Open Price']\n",
    "data['High-Low']=(data['High Price']-data['Low Price'])/data['Low Price']\n",
    "data['std_5']= data['Day_Perc_Change'].rolling(5).std()\n",
    "data['ret_5']= data['Day_Perc_Change'].rolling(5).mean()\n",
    "data.dropna(inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['Action']=np.where(data['Close Price'].shift(-1)>data['Close Price'],1,-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=data[['Open-Close','High-Low','std_5','ret_5']]\n",
    "\n",
    "Y=data['Action']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Close Price</th>\n",
       "      <th>Action</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9427.90</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9438.25</td>\n",
       "      <td>-1</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>9386.15</td>\n",
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       "      <th>7</th>\n",
       "      <td>9360.55</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9509.75</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9604.90</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>9624.55</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>9621.25</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>9616.10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>9653.50</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>9675.10</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>9637.15</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9663.90</td>\n",
       "      <td>-1</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>9647.25</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>9668.25</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>9616.40</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>9606.90</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>9618.15</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9578.05</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>9588.05</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>9657.55</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>9653.50</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>9633.60</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>9630.00</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>9574.95</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>9511.40</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>9491.25</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>9504.10</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>9520.90</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>11445.05</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>11570.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>11623.90</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>11669.15</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>11713.20</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>11643.95</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>11598.00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>11665.95</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>11604.50</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>11671.95</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>11584.30</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>11596.70</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>11643.45</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>11690.35</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>11787.15</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>11752.80</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>11594.45</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>11575.95</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>11726.15</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>11641.80</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>11754.65</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>11748.15</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>11724.75</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>11712.25</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>11598.25</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>11497.90</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>11359.45</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>11301.80</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>11278.90</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>11148.20</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>490 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Close Price  Action\n",
       "4        9427.90       1\n",
       "5        9438.25      -1\n",
       "6        9386.15      -1\n",
       "7        9360.55       1\n",
       "8        9509.75       1\n",
       "9        9595.10       1\n",
       "10       9604.90       1\n",
       "11       9624.55      -1\n",
       "12       9621.25      -1\n",
       "13       9616.10       1\n",
       "14       9653.50       1\n",
       "15       9675.10      -1\n",
       "16       9637.15       1\n",
       "17       9663.90      -1\n",
       "18       9647.25       1\n",
       "19       9668.25      -1\n",
       "20       9616.40      -1\n",
       "21       9606.90       1\n",
       "22       9618.15      -1\n",
       "23       9578.05       1\n",
       "24       9588.05       1\n",
       "25       9657.55      -1\n",
       "26       9653.50      -1\n",
       "27       9633.60      -1\n",
       "28       9630.00      -1\n",
       "29       9574.95      -1\n",
       "30       9511.40      -1\n",
       "31       9491.25       1\n",
       "32       9504.10       1\n",
       "33       9520.90       1\n",
       "..           ...     ...\n",
       "464     11445.05       1\n",
       "465     11570.00       1\n",
       "466     11623.90       1\n",
       "467     11669.15       1\n",
       "468     11713.20      -1\n",
       "469     11643.95      -1\n",
       "470     11598.00       1\n",
       "471     11665.95      -1\n",
       "472     11604.50       1\n",
       "473     11671.95      -1\n",
       "474     11584.30       1\n",
       "475     11596.70       1\n",
       "476     11643.45       1\n",
       "477     11690.35       1\n",
       "478     11787.15      -1\n",
       "479     11752.80      -1\n",
       "480     11594.45      -1\n",
       "481     11575.95       1\n",
       "482     11726.15      -1\n",
       "483     11641.80       1\n",
       "484     11754.65      -1\n",
       "485     11748.15      -1\n",
       "486     11724.75      -1\n",
       "487     11712.25      -1\n",
       "488     11598.25      -1\n",
       "489     11497.90      -1\n",
       "490     11359.45      -1\n",
       "491     11301.80      -1\n",
       "492     11278.90      -1\n",
       "493     11148.20      -1\n",
       "\n",
       "[490 rows x 2 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result = pd.concat([data['Close Price'],Y],axis=1,join='inner')\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(367, 4) (123, 4)\n",
      "(367,) (123,)\n"
     ]
    }
   ],
   "source": [
    "X_train,X_test,Y_train,Y_test = train_test_split(X,Y,test_size=.25,random_state=42)\n",
    "print(X_train.shape,X_test.shape)\n",
    "print(Y_train.shape,Y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "clf = RandomForestClassifier(random_state=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "model=clf.fit(X_train,Y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correct Prediction (%): 51.21951219512195\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "print ('Correct Prediction (%):',accuracy_score(Y_test,model.predict(X_test),normalize=True)*100.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['strategy_returns']=data.Day_Perc_Change*model.predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Shares Traded</th>\n",
       "      <th>Turnover (Rs. Cr)</th>\n",
       "      <th>Close Price</th>\n",
       "      <th>Open Price</th>\n",
       "      <th>High Price</th>\n",
       "      <th>Low Price</th>\n",
       "      <th>Day_Perc_Change</th>\n",
       "      <th>Open-Close</th>\n",
       "      <th>High-Low</th>\n",
       "      <th>std_5</th>\n",
       "      <th>ret_5</th>\n",
       "      <th>Action</th>\n",
       "      <th>strategy_returns</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19-May-2017</td>\n",
       "      <td>9469.90</td>\n",
       "      <td>9505.75</td>\n",
       "      <td>9390.75</td>\n",
       "      <td>9427.90</td>\n",
       "      <td>259861396</td>\n",
       "      <td>11544.77</td>\n",
       "      <td>9427.90</td>\n",
       "      <td>9469.90</td>\n",
       "      <td>9505.75</td>\n",
       "      <td>9390.75</td>\n",
       "      <td>-0.016438</td>\n",
       "      <td>0.004435</td>\n",
       "      <td>0.012246</td>\n",
       "      <td>0.619882</td>\n",
       "      <td>-0.035542</td>\n",
       "      <td>1</td>\n",
       "      <td>0.016438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>22-May-2017</td>\n",
       "      <td>9480.25</td>\n",
       "      <td>9498.65</td>\n",
       "      <td>9427.90</td>\n",
       "      <td>9438.25</td>\n",
       "      <td>202874757</td>\n",
       "      <td>9432.97</td>\n",
       "      <td>9438.25</td>\n",
       "      <td>9480.25</td>\n",
       "      <td>9498.65</td>\n",
       "      <td>9427.90</td>\n",
       "      <td>0.109781</td>\n",
       "      <td>0.004430</td>\n",
       "      <td>0.007504</td>\n",
       "      <td>0.623390</td>\n",
       "      <td>-0.013585</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.109781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>23-May-2017</td>\n",
       "      <td>9445.05</td>\n",
       "      <td>9448.05</td>\n",
       "      <td>9370.00</td>\n",
       "      <td>9386.15</td>\n",
       "      <td>231345629</td>\n",
       "      <td>11553.27</td>\n",
       "      <td>9386.15</td>\n",
       "      <td>9445.05</td>\n",
       "      <td>9448.05</td>\n",
       "      <td>9370.00</td>\n",
       "      <td>-0.552009</td>\n",
       "      <td>0.006236</td>\n",
       "      <td>0.008330</td>\n",
       "      <td>0.501656</td>\n",
       "      <td>-0.265538</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.552009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>24-May-2017</td>\n",
       "      <td>9410.90</td>\n",
       "      <td>9431.90</td>\n",
       "      <td>9341.65</td>\n",
       "      <td>9360.55</td>\n",
       "      <td>218265181</td>\n",
       "      <td>11045.95</td>\n",
       "      <td>9360.55</td>\n",
       "      <td>9410.90</td>\n",
       "      <td>9431.90</td>\n",
       "      <td>9341.65</td>\n",
       "      <td>-0.272742</td>\n",
       "      <td>0.005350</td>\n",
       "      <td>0.009661</td>\n",
       "      <td>0.448964</td>\n",
       "      <td>-0.348471</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.272742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>25-May-2017</td>\n",
       "      <td>9384.05</td>\n",
       "      <td>9523.30</td>\n",
       "      <td>9379.20</td>\n",
       "      <td>9509.75</td>\n",
       "      <td>298147347</td>\n",
       "      <td>16964.26</td>\n",
       "      <td>9509.75</td>\n",
       "      <td>9384.05</td>\n",
       "      <td>9523.30</td>\n",
       "      <td>9379.20</td>\n",
       "      <td>1.593923</td>\n",
       "      <td>-0.013395</td>\n",
       "      <td>0.015364</td>\n",
       "      <td>0.834151</td>\n",
       "      <td>0.172503</td>\n",
       "      <td>1</td>\n",
       "      <td>1.593923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>26-May-2017</td>\n",
       "      <td>9507.75</td>\n",
       "      <td>9604.90</td>\n",
       "      <td>9495.40</td>\n",
       "      <td>9595.10</td>\n",
       "      <td>225647631</td>\n",
       "      <td>11204.36</td>\n",
       "      <td>9595.10</td>\n",
       "      <td>9507.75</td>\n",
       "      <td>9604.90</td>\n",
       "      <td>9495.40</td>\n",
       "      <td>0.897500</td>\n",
       "      <td>-0.009187</td>\n",
       "      <td>0.011532</td>\n",
       "      <td>0.881206</td>\n",
       "      <td>0.355291</td>\n",
       "      <td>1</td>\n",
       "      <td>0.897500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>29-May-2017</td>\n",
       "      <td>9560.05</td>\n",
       "      <td>9637.75</td>\n",
       "      <td>9547.70</td>\n",
       "      <td>9604.90</td>\n",
       "      <td>242266034</td>\n",
       "      <td>12484.61</td>\n",
       "      <td>9604.90</td>\n",
       "      <td>9560.05</td>\n",
       "      <td>9637.75</td>\n",
       "      <td>9547.70</td>\n",
       "      <td>0.102135</td>\n",
       "      <td>-0.004691</td>\n",
       "      <td>0.009432</td>\n",
       "      <td>0.881745</td>\n",
       "      <td>0.353761</td>\n",
       "      <td>1</td>\n",
       "      <td>0.102135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>30-May-2017</td>\n",
       "      <td>9590.65</td>\n",
       "      <td>9635.30</td>\n",
       "      <td>9581.20</td>\n",
       "      <td>9624.55</td>\n",
       "      <td>199894193</td>\n",
       "      <td>9765.40</td>\n",
       "      <td>9624.55</td>\n",
       "      <td>9590.65</td>\n",
       "      <td>9635.30</td>\n",
       "      <td>9581.20</td>\n",
       "      <td>0.204583</td>\n",
       "      <td>-0.003535</td>\n",
       "      <td>0.005646</td>\n",
       "      <td>0.741155</td>\n",
       "      <td>0.505080</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.204583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>31-May-2017</td>\n",
       "      <td>9636.55</td>\n",
       "      <td>9649.60</td>\n",
       "      <td>9609.25</td>\n",
       "      <td>9621.25</td>\n",
       "      <td>427053433</td>\n",
       "      <td>19605.94</td>\n",
       "      <td>9621.25</td>\n",
       "      <td>9636.55</td>\n",
       "      <td>9649.60</td>\n",
       "      <td>9609.25</td>\n",
       "      <td>-0.034287</td>\n",
       "      <td>0.001588</td>\n",
       "      <td>0.004199</td>\n",
       "      <td>0.684065</td>\n",
       "      <td>0.552771</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.034287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>01-Jun-2017</td>\n",
       "      <td>9603.55</td>\n",
       "      <td>9634.65</td>\n",
       "      <td>9589.90</td>\n",
       "      <td>9616.10</td>\n",
       "      <td>181533283</td>\n",
       "      <td>9482.61</td>\n",
       "      <td>9616.10</td>\n",
       "      <td>9603.55</td>\n",
       "      <td>9634.65</td>\n",
       "      <td>9589.90</td>\n",
       "      <td>-0.053527</td>\n",
       "      <td>-0.001307</td>\n",
       "      <td>0.004666</td>\n",
       "      <td>0.391331</td>\n",
       "      <td>0.223281</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.053527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>02-Jun-2017</td>\n",
       "      <td>9657.15</td>\n",
       "      <td>9673.50</td>\n",
       "      <td>9637.45</td>\n",
       "      <td>9653.50</td>\n",
       "      <td>167195027</td>\n",
       "      <td>8564.30</td>\n",
       "      <td>9653.50</td>\n",
       "      <td>9657.15</td>\n",
       "      <td>9673.50</td>\n",
       "      <td>9637.45</td>\n",
       "      <td>0.388931</td>\n",
       "      <td>0.000378</td>\n",
       "      <td>0.003741</td>\n",
       "      <td>0.182826</td>\n",
       "      <td>0.121567</td>\n",
       "      <td>1</td>\n",
       "      <td>0.388931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>05-Jun-2017</td>\n",
       "      <td>9656.30</td>\n",
       "      <td>9687.20</td>\n",
       "      <td>9640.70</td>\n",
       "      <td>9675.10</td>\n",
       "      <td>131685021</td>\n",
       "      <td>7192.24</td>\n",
       "      <td>9675.10</td>\n",
       "      <td>9656.30</td>\n",
       "      <td>9687.20</td>\n",
       "      <td>9640.70</td>\n",
       "      <td>0.223753</td>\n",
       "      <td>-0.001947</td>\n",
       "      <td>0.004823</td>\n",
       "      <td>0.187622</td>\n",
       "      <td>0.145891</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.223753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>06-Jun-2017</td>\n",
       "      <td>9704.25</td>\n",
       "      <td>9709.30</td>\n",
       "      <td>9630.20</td>\n",
       "      <td>9637.15</td>\n",
       "      <td>150379695</td>\n",
       "      <td>8416.55</td>\n",
       "      <td>9637.15</td>\n",
       "      <td>9704.25</td>\n",
       "      <td>9709.30</td>\n",
       "      <td>9630.20</td>\n",
       "      <td>-0.392244</td>\n",
       "      <td>0.006914</td>\n",
       "      <td>0.008214</td>\n",
       "      <td>0.298208</td>\n",
       "      <td>0.026525</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.392244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>07-Jun-2017</td>\n",
       "      <td>9663.95</td>\n",
       "      <td>9678.55</td>\n",
       "      <td>9630.55</td>\n",
       "      <td>9663.90</td>\n",
       "      <td>165669924</td>\n",
       "      <td>8989.36</td>\n",
       "      <td>9663.90</td>\n",
       "      <td>9663.95</td>\n",
       "      <td>9678.55</td>\n",
       "      <td>9630.55</td>\n",
       "      <td>0.277572</td>\n",
       "      <td>0.000005</td>\n",
       "      <td>0.004984</td>\n",
       "      <td>0.314478</td>\n",
       "      <td>0.088897</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.277572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>08-Jun-2017</td>\n",
       "      <td>9682.40</td>\n",
       "      <td>9688.70</td>\n",
       "      <td>9641.50</td>\n",
       "      <td>9647.25</td>\n",
       "      <td>160165459</td>\n",
       "      <td>8822.63</td>\n",
       "      <td>9647.25</td>\n",
       "      <td>9682.40</td>\n",
       "      <td>9688.70</td>\n",
       "      <td>9641.50</td>\n",
       "      <td>-0.172291</td>\n",
       "      <td>0.003630</td>\n",
       "      <td>0.004896</td>\n",
       "      <td>0.331926</td>\n",
       "      <td>0.065144</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.172291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>09-Jun-2017</td>\n",
       "      <td>9638.55</td>\n",
       "      <td>9676.25</td>\n",
       "      <td>9608.15</td>\n",
       "      <td>9668.25</td>\n",
       "      <td>163897548</td>\n",
       "      <td>9078.71</td>\n",
       "      <td>9668.25</td>\n",
       "      <td>9638.55</td>\n",
       "      <td>9676.25</td>\n",
       "      <td>9608.15</td>\n",
       "      <td>0.217679</td>\n",
       "      <td>-0.003081</td>\n",
       "      <td>0.007088</td>\n",
       "      <td>0.297180</td>\n",
       "      <td>0.030894</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.217679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>12-Jun-2017</td>\n",
       "      <td>9646.70</td>\n",
       "      <td>9647.05</td>\n",
       "      <td>9598.50</td>\n",
       "      <td>9616.40</td>\n",
       "      <td>145786938</td>\n",
       "      <td>7686.89</td>\n",
       "      <td>9616.40</td>\n",
       "      <td>9646.70</td>\n",
       "      <td>9647.05</td>\n",
       "      <td>9598.50</td>\n",
       "      <td>-0.536291</td>\n",
       "      <td>0.003141</td>\n",
       "      <td>0.005058</td>\n",
       "      <td>0.361329</td>\n",
       "      <td>-0.121115</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.536291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>13-Jun-2017</td>\n",
       "      <td>9615.55</td>\n",
       "      <td>9654.15</td>\n",
       "      <td>9595.40</td>\n",
       "      <td>9606.90</td>\n",
       "      <td>133734363</td>\n",
       "      <td>7056.83</td>\n",
       "      <td>9606.90</td>\n",
       "      <td>9615.55</td>\n",
       "      <td>9654.15</td>\n",
       "      <td>9595.40</td>\n",
       "      <td>-0.098790</td>\n",
       "      <td>0.000900</td>\n",
       "      <td>0.006123</td>\n",
       "      <td>0.328633</td>\n",
       "      <td>-0.062424</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.098790</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>14-Jun-2017</td>\n",
       "      <td>9621.55</td>\n",
       "      <td>9627.40</td>\n",
       "      <td>9580.45</td>\n",
       "      <td>9618.15</td>\n",
       "      <td>187378750</td>\n",
       "      <td>10540.68</td>\n",
       "      <td>9618.15</td>\n",
       "      <td>9621.55</td>\n",
       "      <td>9627.40</td>\n",
       "      <td>9580.45</td>\n",
       "      <td>0.117103</td>\n",
       "      <td>0.000353</td>\n",
       "      <td>0.004901</td>\n",
       "      <td>0.293036</td>\n",
       "      <td>-0.094518</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.117103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>15-Jun-2017</td>\n",
       "      <td>9617.90</td>\n",
       "      <td>9621.40</td>\n",
       "      <td>9560.80</td>\n",
       "      <td>9578.05</td>\n",
       "      <td>176423424</td>\n",
       "      <td>9868.08</td>\n",
       "      <td>9578.05</td>\n",
       "      <td>9617.90</td>\n",
       "      <td>9621.40</td>\n",
       "      <td>9560.80</td>\n",
       "      <td>-0.416920</td>\n",
       "      <td>0.004143</td>\n",
       "      <td>0.006338</td>\n",
       "      <td>0.327646</td>\n",
       "      <td>-0.143444</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.416920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>16-Jun-2017</td>\n",
       "      <td>9595.45</td>\n",
       "      <td>9615.85</td>\n",
       "      <td>9565.50</td>\n",
       "      <td>9588.05</td>\n",
       "      <td>219808528</td>\n",
       "      <td>11920.62</td>\n",
       "      <td>9588.05</td>\n",
       "      <td>9595.45</td>\n",
       "      <td>9615.85</td>\n",
       "      <td>9565.50</td>\n",
       "      <td>0.104405</td>\n",
       "      <td>0.000771</td>\n",
       "      <td>0.005264</td>\n",
       "      <td>0.299107</td>\n",
       "      <td>-0.166098</td>\n",
       "      <td>1</td>\n",
       "      <td>0.104405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>19-Jun-2017</td>\n",
       "      <td>9626.40</td>\n",
       "      <td>9673.30</td>\n",
       "      <td>9614.90</td>\n",
       "      <td>9657.55</td>\n",
       "      <td>146146062</td>\n",
       "      <td>8144.36</td>\n",
       "      <td>9657.55</td>\n",
       "      <td>9626.40</td>\n",
       "      <td>9673.30</td>\n",
       "      <td>9614.90</td>\n",
       "      <td>0.724861</td>\n",
       "      <td>-0.003236</td>\n",
       "      <td>0.006074</td>\n",
       "      <td>0.417290</td>\n",
       "      <td>0.086132</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.724861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20-Jun-2017</td>\n",
       "      <td>9670.50</td>\n",
       "      <td>9676.50</td>\n",
       "      <td>9643.75</td>\n",
       "      <td>9653.50</td>\n",
       "      <td>164437226</td>\n",
       "      <td>8476.67</td>\n",
       "      <td>9653.50</td>\n",
       "      <td>9670.50</td>\n",
       "      <td>9676.50</td>\n",
       "      <td>9643.75</td>\n",
       "      <td>-0.041936</td>\n",
       "      <td>0.001758</td>\n",
       "      <td>0.003396</td>\n",
       "      <td>0.411729</td>\n",
       "      <td>0.097503</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.041936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>21-Jun-2017</td>\n",
       "      <td>9648.10</td>\n",
       "      <td>9650.45</td>\n",
       "      <td>9608.60</td>\n",
       "      <td>9633.60</td>\n",
       "      <td>148490556</td>\n",
       "      <td>8023.40</td>\n",
       "      <td>9633.60</td>\n",
       "      <td>9648.10</td>\n",
       "      <td>9650.45</td>\n",
       "      <td>9608.60</td>\n",
       "      <td>-0.206143</td>\n",
       "      <td>0.001503</td>\n",
       "      <td>0.004355</td>\n",
       "      <td>0.432725</td>\n",
       "      <td>0.032853</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.206143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>22-Jun-2017</td>\n",
       "      <td>9642.65</td>\n",
       "      <td>9698.85</td>\n",
       "      <td>9617.75</td>\n",
       "      <td>9630.00</td>\n",
       "      <td>204888654</td>\n",
       "      <td>10738.45</td>\n",
       "      <td>9630.00</td>\n",
       "      <td>9642.65</td>\n",
       "      <td>9698.85</td>\n",
       "      <td>9617.75</td>\n",
       "      <td>-0.037369</td>\n",
       "      <td>0.001312</td>\n",
       "      <td>0.008432</td>\n",
       "      <td>0.361533</td>\n",
       "      <td>0.108764</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.037369</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>23-Jun-2017</td>\n",
       "      <td>9643.25</td>\n",
       "      <td>9647.65</td>\n",
       "      <td>9565.30</td>\n",
       "      <td>9574.95</td>\n",
       "      <td>180580579</td>\n",
       "      <td>9092.74</td>\n",
       "      <td>9574.95</td>\n",
       "      <td>9643.25</td>\n",
       "      <td>9647.65</td>\n",
       "      <td>9565.30</td>\n",
       "      <td>-0.571651</td>\n",
       "      <td>0.007083</td>\n",
       "      <td>0.008609</td>\n",
       "      <td>0.472853</td>\n",
       "      <td>-0.026448</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.571651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>27-Jun-2017</td>\n",
       "      <td>9594.05</td>\n",
       "      <td>9615.40</td>\n",
       "      <td>9473.45</td>\n",
       "      <td>9511.40</td>\n",
       "      <td>209593904</td>\n",
       "      <td>11084.51</td>\n",
       "      <td>9511.40</td>\n",
       "      <td>9594.05</td>\n",
       "      <td>9615.40</td>\n",
       "      <td>9473.45</td>\n",
       "      <td>-0.663711</td>\n",
       "      <td>0.008615</td>\n",
       "      <td>0.014984</td>\n",
       "      <td>0.295962</td>\n",
       "      <td>-0.304162</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.663711</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>28-Jun-2017</td>\n",
       "      <td>9520.20</td>\n",
       "      <td>9522.50</td>\n",
       "      <td>9474.35</td>\n",
       "      <td>9491.25</td>\n",
       "      <td>177652206</td>\n",
       "      <td>9103.73</td>\n",
       "      <td>9491.25</td>\n",
       "      <td>9520.20</td>\n",
       "      <td>9522.50</td>\n",
       "      <td>9474.35</td>\n",
       "      <td>-0.211851</td>\n",
       "      <td>0.003041</td>\n",
       "      <td>0.005082</td>\n",
       "      <td>0.266627</td>\n",
       "      <td>-0.338145</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.211851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>29-Jun-2017</td>\n",
       "      <td>9522.95</td>\n",
       "      <td>9575.80</td>\n",
       "      <td>9493.80</td>\n",
       "      <td>9504.10</td>\n",
       "      <td>267283587</td>\n",
       "      <td>13395.85</td>\n",
       "      <td>9504.10</td>\n",
       "      <td>9522.95</td>\n",
       "      <td>9575.80</td>\n",
       "      <td>9493.80</td>\n",
       "      <td>0.135388</td>\n",
       "      <td>0.001979</td>\n",
       "      <td>0.008637</td>\n",
       "      <td>0.341994</td>\n",
       "      <td>-0.269839</td>\n",
       "      <td>1</td>\n",
       "      <td>0.135388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>30-Jun-2017</td>\n",
       "      <td>9478.50</td>\n",
       "      <td>9535.80</td>\n",
       "      <td>9448.75</td>\n",
       "      <td>9520.90</td>\n",
       "      <td>185202600</td>\n",
       "      <td>8783.59</td>\n",
       "      <td>9520.90</td>\n",
       "      <td>9478.50</td>\n",
       "      <td>9535.80</td>\n",
       "      <td>9448.75</td>\n",
       "      <td>0.176766</td>\n",
       "      <td>-0.004473</td>\n",
       "      <td>0.009213</td>\n",
       "      <td>0.388614</td>\n",
       "      <td>-0.227012</td>\n",
       "      <td>1</td>\n",
       "      <td>0.176766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>27-Mar-2019</td>\n",
       "      <td>11531.45</td>\n",
       "      <td>11546.20</td>\n",
       "      <td>11413.00</td>\n",
       "      <td>11445.05</td>\n",
       "      <td>350446089</td>\n",
       "      <td>18356.52</td>\n",
       "      <td>11445.05</td>\n",
       "      <td>11531.45</td>\n",
       "      <td>11546.20</td>\n",
       "      <td>11413.00</td>\n",
       "      <td>-0.332658</td>\n",
       "      <td>0.007493</td>\n",
       "      <td>0.011671</td>\n",
       "      <td>0.776552</td>\n",
       "      <td>-0.149542</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.332658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>28-Mar-2019</td>\n",
       "      <td>11463.65</td>\n",
       "      <td>11588.50</td>\n",
       "      <td>11452.45</td>\n",
       "      <td>11570.00</td>\n",
       "      <td>527678809</td>\n",
       "      <td>25719.65</td>\n",
       "      <td>11570.00</td>\n",
       "      <td>11463.65</td>\n",
       "      <td>11588.50</td>\n",
       "      <td>11452.45</td>\n",
       "      <td>1.091738</td>\n",
       "      <td>-0.009277</td>\n",
       "      <td>0.011880</td>\n",
       "      <td>0.957471</td>\n",
       "      <td>0.088489</td>\n",
       "      <td>1</td>\n",
       "      <td>1.091738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>29-Mar-2019</td>\n",
       "      <td>11625.45</td>\n",
       "      <td>11630.35</td>\n",
       "      <td>11570.15</td>\n",
       "      <td>11623.90</td>\n",
       "      <td>416276981</td>\n",
       "      <td>20515.25</td>\n",
       "      <td>11623.90</td>\n",
       "      <td>11625.45</td>\n",
       "      <td>11630.35</td>\n",
       "      <td>11570.15</td>\n",
       "      <td>0.465860</td>\n",
       "      <td>0.000133</td>\n",
       "      <td>0.005203</td>\n",
       "      <td>0.892165</td>\n",
       "      <td>0.293022</td>\n",
       "      <td>1</td>\n",
       "      <td>0.465860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>01-Apr-2019</td>\n",
       "      <td>11665.20</td>\n",
       "      <td>11738.10</td>\n",
       "      <td>11644.75</td>\n",
       "      <td>11669.15</td>\n",
       "      <td>379572660</td>\n",
       "      <td>18977.99</td>\n",
       "      <td>11669.15</td>\n",
       "      <td>11665.20</td>\n",
       "      <td>11738.10</td>\n",
       "      <td>11644.75</td>\n",
       "      <td>0.389284</td>\n",
       "      <td>-0.000339</td>\n",
       "      <td>0.008016</td>\n",
       "      <td>0.601879</td>\n",
       "      <td>0.550072</td>\n",
       "      <td>1</td>\n",
       "      <td>0.389284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>02-Apr-2019</td>\n",
       "      <td>11711.55</td>\n",
       "      <td>11729.35</td>\n",
       "      <td>11655.85</td>\n",
       "      <td>11713.20</td>\n",
       "      <td>386131413</td>\n",
       "      <td>18673.70</td>\n",
       "      <td>11713.20</td>\n",
       "      <td>11711.55</td>\n",
       "      <td>11729.35</td>\n",
       "      <td>11655.85</td>\n",
       "      <td>0.377491</td>\n",
       "      <td>-0.000141</td>\n",
       "      <td>0.006306</td>\n",
       "      <td>0.505034</td>\n",
       "      <td>0.398343</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.377491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>03-Apr-2019</td>\n",
       "      <td>11735.30</td>\n",
       "      <td>11761.00</td>\n",
       "      <td>11629.15</td>\n",
       "      <td>11643.95</td>\n",
       "      <td>365760070</td>\n",
       "      <td>19050.95</td>\n",
       "      <td>11643.95</td>\n",
       "      <td>11735.30</td>\n",
       "      <td>11761.00</td>\n",
       "      <td>11629.15</td>\n",
       "      <td>-0.591213</td>\n",
       "      <td>0.007784</td>\n",
       "      <td>0.011338</td>\n",
       "      <td>0.602438</td>\n",
       "      <td>0.346632</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.591213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>04-Apr-2019</td>\n",
       "      <td>11660.20</td>\n",
       "      <td>11662.55</td>\n",
       "      <td>11559.20</td>\n",
       "      <td>11598.00</td>\n",
       "      <td>349029830</td>\n",
       "      <td>19713.01</td>\n",
       "      <td>11598.00</td>\n",
       "      <td>11660.20</td>\n",
       "      <td>11662.55</td>\n",
       "      <td>11559.20</td>\n",
       "      <td>-0.394626</td>\n",
       "      <td>0.005334</td>\n",
       "      <td>0.008941</td>\n",
       "      <td>0.501036</td>\n",
       "      <td>0.049359</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.394626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>05-Apr-2019</td>\n",
       "      <td>11638.40</td>\n",
       "      <td>11689.65</td>\n",
       "      <td>11609.50</td>\n",
       "      <td>11665.95</td>\n",
       "      <td>266665797</td>\n",
       "      <td>15000.35</td>\n",
       "      <td>11665.95</td>\n",
       "      <td>11638.40</td>\n",
       "      <td>11689.65</td>\n",
       "      <td>11609.50</td>\n",
       "      <td>0.585877</td>\n",
       "      <td>-0.002367</td>\n",
       "      <td>0.006904</td>\n",
       "      <td>0.528121</td>\n",
       "      <td>0.073363</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.585877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>08-Apr-2019</td>\n",
       "      <td>11704.35</td>\n",
       "      <td>11710.30</td>\n",
       "      <td>11549.10</td>\n",
       "      <td>11604.50</td>\n",
       "      <td>260932608</td>\n",
       "      <td>14203.96</td>\n",
       "      <td>11604.50</td>\n",
       "      <td>11704.35</td>\n",
       "      <td>11710.30</td>\n",
       "      <td>11549.10</td>\n",
       "      <td>-0.526747</td>\n",
       "      <td>0.008531</td>\n",
       "      <td>0.013958</td>\n",
       "      <td>0.549579</td>\n",
       "      <td>-0.109844</td>\n",
       "      <td>1</td>\n",
       "      <td>0.526747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>09-Apr-2019</td>\n",
       "      <td>11612.05</td>\n",
       "      <td>11683.90</td>\n",
       "      <td>11569.70</td>\n",
       "      <td>11671.95</td>\n",
       "      <td>300467538</td>\n",
       "      <td>15984.39</td>\n",
       "      <td>11671.95</td>\n",
       "      <td>11612.05</td>\n",
       "      <td>11683.90</td>\n",
       "      <td>11569.70</td>\n",
       "      <td>0.581240</td>\n",
       "      <td>-0.005158</td>\n",
       "      <td>0.009871</td>\n",
       "      <td>0.599989</td>\n",
       "      <td>-0.069094</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.581240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>10-Apr-2019</td>\n",
       "      <td>11646.85</td>\n",
       "      <td>11680.05</td>\n",
       "      <td>11571.75</td>\n",
       "      <td>11584.30</td>\n",
       "      <td>359941110</td>\n",
       "      <td>22258.46</td>\n",
       "      <td>11584.30</td>\n",
       "      <td>11646.85</td>\n",
       "      <td>11680.05</td>\n",
       "      <td>11571.75</td>\n",
       "      <td>-0.750946</td>\n",
       "      <td>0.005371</td>\n",
       "      <td>0.009359</td>\n",
       "      <td>0.637800</td>\n",
       "      <td>-0.101040</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.750946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>11-Apr-2019</td>\n",
       "      <td>11592.55</td>\n",
       "      <td>11606.70</td>\n",
       "      <td>11550.55</td>\n",
       "      <td>11596.70</td>\n",
       "      <td>279775726</td>\n",
       "      <td>14332.20</td>\n",
       "      <td>11596.70</td>\n",
       "      <td>11592.55</td>\n",
       "      <td>11606.70</td>\n",
       "      <td>11550.55</td>\n",
       "      <td>0.107041</td>\n",
       "      <td>-0.000358</td>\n",
       "      <td>0.004861</td>\n",
       "      <td>0.619259</td>\n",
       "      <td>-0.000707</td>\n",
       "      <td>1</td>\n",
       "      <td>0.107041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>12-Apr-2019</td>\n",
       "      <td>11612.85</td>\n",
       "      <td>11657.35</td>\n",
       "      <td>11578.80</td>\n",
       "      <td>11643.45</td>\n",
       "      <td>246006184</td>\n",
       "      <td>13598.61</td>\n",
       "      <td>11643.45</td>\n",
       "      <td>11612.85</td>\n",
       "      <td>11657.35</td>\n",
       "      <td>11578.80</td>\n",
       "      <td>0.403132</td>\n",
       "      <td>-0.002635</td>\n",
       "      <td>0.006784</td>\n",
       "      <td>0.580141</td>\n",
       "      <td>-0.037256</td>\n",
       "      <td>1</td>\n",
       "      <td>0.403132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>15-Apr-2019</td>\n",
       "      <td>11667.00</td>\n",
       "      <td>11704.60</td>\n",
       "      <td>11648.25</td>\n",
       "      <td>11690.35</td>\n",
       "      <td>289996075</td>\n",
       "      <td>15635.79</td>\n",
       "      <td>11690.35</td>\n",
       "      <td>11667.00</td>\n",
       "      <td>11704.60</td>\n",
       "      <td>11648.25</td>\n",
       "      <td>0.402802</td>\n",
       "      <td>-0.002001</td>\n",
       "      <td>0.004838</td>\n",
       "      <td>0.530917</td>\n",
       "      <td>0.148654</td>\n",
       "      <td>1</td>\n",
       "      <td>0.402802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>16-Apr-2019</td>\n",
       "      <td>11736.20</td>\n",
       "      <td>11810.95</td>\n",
       "      <td>11731.55</td>\n",
       "      <td>11787.15</td>\n",
       "      <td>354315040</td>\n",
       "      <td>17585.48</td>\n",
       "      <td>11787.15</td>\n",
       "      <td>11736.20</td>\n",
       "      <td>11810.95</td>\n",
       "      <td>11731.55</td>\n",
       "      <td>0.828033</td>\n",
       "      <td>-0.004341</td>\n",
       "      <td>0.006768</td>\n",
       "      <td>0.589435</td>\n",
       "      <td>0.198013</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.828033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>18-Apr-2019</td>\n",
       "      <td>11856.15</td>\n",
       "      <td>11856.15</td>\n",
       "      <td>11738.50</td>\n",
       "      <td>11752.80</td>\n",
       "      <td>339653709</td>\n",
       "      <td>18271.27</td>\n",
       "      <td>11752.80</td>\n",
       "      <td>11856.15</td>\n",
       "      <td>11856.15</td>\n",
       "      <td>11738.50</td>\n",
       "      <td>-0.291419</td>\n",
       "      <td>0.008717</td>\n",
       "      <td>0.010023</td>\n",
       "      <td>0.414284</td>\n",
       "      <td>0.289918</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.291419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>22-Apr-2019</td>\n",
       "      <td>11727.05</td>\n",
       "      <td>11727.05</td>\n",
       "      <td>11583.95</td>\n",
       "      <td>11594.45</td>\n",
       "      <td>260356055</td>\n",
       "      <td>13754.12</td>\n",
       "      <td>11594.45</td>\n",
       "      <td>11727.05</td>\n",
       "      <td>11727.05</td>\n",
       "      <td>11583.95</td>\n",
       "      <td>-1.347339</td>\n",
       "      <td>0.011307</td>\n",
       "      <td>0.012353</td>\n",
       "      <td>0.853031</td>\n",
       "      <td>-0.000958</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.347339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>23-Apr-2019</td>\n",
       "      <td>11612.95</td>\n",
       "      <td>11645.95</td>\n",
       "      <td>11564.80</td>\n",
       "      <td>11575.95</td>\n",
       "      <td>272544486</td>\n",
       "      <td>14500.53</td>\n",
       "      <td>11575.95</td>\n",
       "      <td>11612.95</td>\n",
       "      <td>11645.95</td>\n",
       "      <td>11564.80</td>\n",
       "      <td>-0.159559</td>\n",
       "      <td>0.003186</td>\n",
       "      <td>0.007017</td>\n",
       "      <td>0.822980</td>\n",
       "      <td>-0.113496</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.159559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>24-Apr-2019</td>\n",
       "      <td>11601.50</td>\n",
       "      <td>11740.85</td>\n",
       "      <td>11578.85</td>\n",
       "      <td>11726.15</td>\n",
       "      <td>335196513</td>\n",
       "      <td>17046.66</td>\n",
       "      <td>11726.15</td>\n",
       "      <td>11601.50</td>\n",
       "      <td>11740.85</td>\n",
       "      <td>11578.85</td>\n",
       "      <td>1.297518</td>\n",
       "      <td>-0.010744</td>\n",
       "      <td>0.013991</td>\n",
       "      <td>1.033620</td>\n",
       "      <td>0.065447</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1.297518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>25-Apr-2019</td>\n",
       "      <td>11735.70</td>\n",
       "      <td>11796.75</td>\n",
       "      <td>11624.30</td>\n",
       "      <td>11641.80</td>\n",
       "      <td>604360395</td>\n",
       "      <td>28254.30</td>\n",
       "      <td>11641.80</td>\n",
       "      <td>11735.70</td>\n",
       "      <td>11796.75</td>\n",
       "      <td>11624.30</td>\n",
       "      <td>-0.719332</td>\n",
       "      <td>0.008001</td>\n",
       "      <td>0.014835</td>\n",
       "      <td>0.978385</td>\n",
       "      <td>-0.244026</td>\n",
       "      <td>1</td>\n",
       "      <td>-0.719332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>26-Apr-2019</td>\n",
       "      <td>11683.75</td>\n",
       "      <td>11762.90</td>\n",
       "      <td>11661.75</td>\n",
       "      <td>11754.65</td>\n",
       "      <td>333483764</td>\n",
       "      <td>18098.83</td>\n",
       "      <td>11754.65</td>\n",
       "      <td>11683.75</td>\n",
       "      <td>11762.90</td>\n",
       "      <td>11661.75</td>\n",
       "      <td>0.969352</td>\n",
       "      <td>-0.006068</td>\n",
       "      <td>0.008674</td>\n",
       "      <td>1.115917</td>\n",
       "      <td>0.008128</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.969352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>30-Apr-2019</td>\n",
       "      <td>11748.75</td>\n",
       "      <td>11756.25</td>\n",
       "      <td>11655.90</td>\n",
       "      <td>11748.15</td>\n",
       "      <td>532630874</td>\n",
       "      <td>23324.98</td>\n",
       "      <td>11748.15</td>\n",
       "      <td>11748.75</td>\n",
       "      <td>11756.25</td>\n",
       "      <td>11655.90</td>\n",
       "      <td>-0.055297</td>\n",
       "      <td>0.000051</td>\n",
       "      <td>0.008609</td>\n",
       "      <td>0.838741</td>\n",
       "      <td>0.266536</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.055297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>02-May-2019</td>\n",
       "      <td>11725.55</td>\n",
       "      <td>11789.30</td>\n",
       "      <td>11699.55</td>\n",
       "      <td>11724.75</td>\n",
       "      <td>380278045</td>\n",
       "      <td>17790.06</td>\n",
       "      <td>11724.75</td>\n",
       "      <td>11725.55</td>\n",
       "      <td>11789.30</td>\n",
       "      <td>11699.55</td>\n",
       "      <td>-0.199180</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>0.007671</td>\n",
       "      <td>0.843944</td>\n",
       "      <td>0.258612</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.199180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>03-May-2019</td>\n",
       "      <td>11722.60</td>\n",
       "      <td>11770.90</td>\n",
       "      <td>11699.35</td>\n",
       "      <td>11712.25</td>\n",
       "      <td>305519934</td>\n",
       "      <td>15156.32</td>\n",
       "      <td>11712.25</td>\n",
       "      <td>11722.60</td>\n",
       "      <td>11770.90</td>\n",
       "      <td>11699.35</td>\n",
       "      <td>-0.106612</td>\n",
       "      <td>0.000883</td>\n",
       "      <td>0.006116</td>\n",
       "      <td>0.614148</td>\n",
       "      <td>-0.022214</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.106612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>06-May-2019</td>\n",
       "      <td>11605.80</td>\n",
       "      <td>11632.55</td>\n",
       "      <td>11571.35</td>\n",
       "      <td>11598.25</td>\n",
       "      <td>299046480</td>\n",
       "      <td>14703.42</td>\n",
       "      <td>11598.25</td>\n",
       "      <td>11605.80</td>\n",
       "      <td>11632.55</td>\n",
       "      <td>11571.35</td>\n",
       "      <td>-0.973340</td>\n",
       "      <td>0.000651</td>\n",
       "      <td>0.005289</td>\n",
       "      <td>0.691823</td>\n",
       "      <td>-0.073016</td>\n",
       "      <td>-1</td>\n",
       "      <td>-0.973340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>07-May-2019</td>\n",
       "      <td>11651.50</td>\n",
       "      <td>11657.05</td>\n",
       "      <td>11484.45</td>\n",
       "      <td>11497.90</td>\n",
       "      <td>337495624</td>\n",
       "      <td>16632.84</td>\n",
       "      <td>11497.90</td>\n",
       "      <td>11651.50</td>\n",
       "      <td>11657.05</td>\n",
       "      <td>11484.45</td>\n",
       "      <td>-0.865217</td>\n",
       "      <td>0.013183</td>\n",
       "      <td>0.015029</td>\n",
       "      <td>0.442266</td>\n",
       "      <td>-0.439929</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.865217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>08-May-2019</td>\n",
       "      <td>11478.70</td>\n",
       "      <td>11479.10</td>\n",
       "      <td>11346.95</td>\n",
       "      <td>11359.45</td>\n",
       "      <td>372826025</td>\n",
       "      <td>17440.01</td>\n",
       "      <td>11359.45</td>\n",
       "      <td>11478.70</td>\n",
       "      <td>11479.10</td>\n",
       "      <td>11346.95</td>\n",
       "      <td>-1.204133</td>\n",
       "      <td>0.010389</td>\n",
       "      <td>0.011646</td>\n",
       "      <td>0.488492</td>\n",
       "      <td>-0.669696</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.204133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>09-May-2019</td>\n",
       "      <td>11322.40</td>\n",
       "      <td>11357.60</td>\n",
       "      <td>11255.05</td>\n",
       "      <td>11301.80</td>\n",
       "      <td>373028059</td>\n",
       "      <td>17602.86</td>\n",
       "      <td>11301.80</td>\n",
       "      <td>11322.40</td>\n",
       "      <td>11357.60</td>\n",
       "      <td>11255.05</td>\n",
       "      <td>-0.507507</td>\n",
       "      <td>0.001819</td>\n",
       "      <td>0.009111</td>\n",
       "      <td>0.430234</td>\n",
       "      <td>-0.731362</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.507507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>10-May-2019</td>\n",
       "      <td>11314.15</td>\n",
       "      <td>11345.80</td>\n",
       "      <td>11251.05</td>\n",
       "      <td>11278.90</td>\n",
       "      <td>387323416</td>\n",
       "      <td>18085.19</td>\n",
       "      <td>11278.90</td>\n",
       "      <td>11314.15</td>\n",
       "      <td>11345.80</td>\n",
       "      <td>11251.05</td>\n",
       "      <td>-0.202623</td>\n",
       "      <td>0.003116</td>\n",
       "      <td>0.008421</td>\n",
       "      <td>0.396174</td>\n",
       "      <td>-0.750564</td>\n",
       "      <td>-1</td>\n",
       "      <td>0.202623</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>13-May-2019</td>\n",
       "      <td>11258.70</td>\n",
       "      <td>11300.20</td>\n",
       "      <td>11125.60</td>\n",
       "      <td>11148.20</td>\n",
       "      <td>357586433</td>\n",
       "      <td>16722.91</td>\n",
       "      <td>11148.20</td>\n",
       "      <td>11258.70</td>\n",
       "      <td>11300.20</td>\n",
       "      <td>11125.60</td>\n",
       "      <td>-1.158801</td>\n",
       "      <td>0.009815</td>\n",
       "      <td>0.015694</td>\n",
       "      <td>0.429524</td>\n",
       "      <td>-0.787656</td>\n",
       "      <td>-1</td>\n",
       "      <td>1.158801</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>490 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date      Open      High       Low     Close  Shares Traded  \\\n",
       "4    19-May-2017   9469.90   9505.75   9390.75   9427.90      259861396   \n",
       "5    22-May-2017   9480.25   9498.65   9427.90   9438.25      202874757   \n",
       "6    23-May-2017   9445.05   9448.05   9370.00   9386.15      231345629   \n",
       "7    24-May-2017   9410.90   9431.90   9341.65   9360.55      218265181   \n",
       "8    25-May-2017   9384.05   9523.30   9379.20   9509.75      298147347   \n",
       "9    26-May-2017   9507.75   9604.90   9495.40   9595.10      225647631   \n",
       "10   29-May-2017   9560.05   9637.75   9547.70   9604.90      242266034   \n",
       "11   30-May-2017   9590.65   9635.30   9581.20   9624.55      199894193   \n",
       "12   31-May-2017   9636.55   9649.60   9609.25   9621.25      427053433   \n",
       "13   01-Jun-2017   9603.55   9634.65   9589.90   9616.10      181533283   \n",
       "14   02-Jun-2017   9657.15   9673.50   9637.45   9653.50      167195027   \n",
       "15   05-Jun-2017   9656.30   9687.20   9640.70   9675.10      131685021   \n",
       "16   06-Jun-2017   9704.25   9709.30   9630.20   9637.15      150379695   \n",
       "17   07-Jun-2017   9663.95   9678.55   9630.55   9663.90      165669924   \n",
       "18   08-Jun-2017   9682.40   9688.70   9641.50   9647.25      160165459   \n",
       "19   09-Jun-2017   9638.55   9676.25   9608.15   9668.25      163897548   \n",
       "20   12-Jun-2017   9646.70   9647.05   9598.50   9616.40      145786938   \n",
       "21   13-Jun-2017   9615.55   9654.15   9595.40   9606.90      133734363   \n",
       "22   14-Jun-2017   9621.55   9627.40   9580.45   9618.15      187378750   \n",
       "23   15-Jun-2017   9617.90   9621.40   9560.80   9578.05      176423424   \n",
       "24   16-Jun-2017   9595.45   9615.85   9565.50   9588.05      219808528   \n",
       "25   19-Jun-2017   9626.40   9673.30   9614.90   9657.55      146146062   \n",
       "26   20-Jun-2017   9670.50   9676.50   9643.75   9653.50      164437226   \n",
       "27   21-Jun-2017   9648.10   9650.45   9608.60   9633.60      148490556   \n",
       "28   22-Jun-2017   9642.65   9698.85   9617.75   9630.00      204888654   \n",
       "29   23-Jun-2017   9643.25   9647.65   9565.30   9574.95      180580579   \n",
       "30   27-Jun-2017   9594.05   9615.40   9473.45   9511.40      209593904   \n",
       "31   28-Jun-2017   9520.20   9522.50   9474.35   9491.25      177652206   \n",
       "32   29-Jun-2017   9522.95   9575.80   9493.80   9504.10      267283587   \n",
       "33   30-Jun-2017   9478.50   9535.80   9448.75   9520.90      185202600   \n",
       "..           ...       ...       ...       ...       ...            ...   \n",
       "464  27-Mar-2019  11531.45  11546.20  11413.00  11445.05      350446089   \n",
       "465  28-Mar-2019  11463.65  11588.50  11452.45  11570.00      527678809   \n",
       "466  29-Mar-2019  11625.45  11630.35  11570.15  11623.90      416276981   \n",
       "467  01-Apr-2019  11665.20  11738.10  11644.75  11669.15      379572660   \n",
       "468  02-Apr-2019  11711.55  11729.35  11655.85  11713.20      386131413   \n",
       "469  03-Apr-2019  11735.30  11761.00  11629.15  11643.95      365760070   \n",
       "470  04-Apr-2019  11660.20  11662.55  11559.20  11598.00      349029830   \n",
       "471  05-Apr-2019  11638.40  11689.65  11609.50  11665.95      266665797   \n",
       "472  08-Apr-2019  11704.35  11710.30  11549.10  11604.50      260932608   \n",
       "473  09-Apr-2019  11612.05  11683.90  11569.70  11671.95      300467538   \n",
       "474  10-Apr-2019  11646.85  11680.05  11571.75  11584.30      359941110   \n",
       "475  11-Apr-2019  11592.55  11606.70  11550.55  11596.70      279775726   \n",
       "476  12-Apr-2019  11612.85  11657.35  11578.80  11643.45      246006184   \n",
       "477  15-Apr-2019  11667.00  11704.60  11648.25  11690.35      289996075   \n",
       "478  16-Apr-2019  11736.20  11810.95  11731.55  11787.15      354315040   \n",
       "479  18-Apr-2019  11856.15  11856.15  11738.50  11752.80      339653709   \n",
       "480  22-Apr-2019  11727.05  11727.05  11583.95  11594.45      260356055   \n",
       "481  23-Apr-2019  11612.95  11645.95  11564.80  11575.95      272544486   \n",
       "482  24-Apr-2019  11601.50  11740.85  11578.85  11726.15      335196513   \n",
       "483  25-Apr-2019  11735.70  11796.75  11624.30  11641.80      604360395   \n",
       "484  26-Apr-2019  11683.75  11762.90  11661.75  11754.65      333483764   \n",
       "485  30-Apr-2019  11748.75  11756.25  11655.90  11748.15      532630874   \n",
       "486  02-May-2019  11725.55  11789.30  11699.55  11724.75      380278045   \n",
       "487  03-May-2019  11722.60  11770.90  11699.35  11712.25      305519934   \n",
       "488  06-May-2019  11605.80  11632.55  11571.35  11598.25      299046480   \n",
       "489  07-May-2019  11651.50  11657.05  11484.45  11497.90      337495624   \n",
       "490  08-May-2019  11478.70  11479.10  11346.95  11359.45      372826025   \n",
       "491  09-May-2019  11322.40  11357.60  11255.05  11301.80      373028059   \n",
       "492  10-May-2019  11314.15  11345.80  11251.05  11278.90      387323416   \n",
       "493  13-May-2019  11258.70  11300.20  11125.60  11148.20      357586433   \n",
       "\n",
       "     Turnover (Rs. Cr)  Close Price  Open Price  High Price  Low Price  \\\n",
       "4             11544.77      9427.90     9469.90     9505.75    9390.75   \n",
       "5              9432.97      9438.25     9480.25     9498.65    9427.90   \n",
       "6             11553.27      9386.15     9445.05     9448.05    9370.00   \n",
       "7             11045.95      9360.55     9410.90     9431.90    9341.65   \n",
       "8             16964.26      9509.75     9384.05     9523.30    9379.20   \n",
       "9             11204.36      9595.10     9507.75     9604.90    9495.40   \n",
       "10            12484.61      9604.90     9560.05     9637.75    9547.70   \n",
       "11             9765.40      9624.55     9590.65     9635.30    9581.20   \n",
       "12            19605.94      9621.25     9636.55     9649.60    9609.25   \n",
       "13             9482.61      9616.10     9603.55     9634.65    9589.90   \n",
       "14             8564.30      9653.50     9657.15     9673.50    9637.45   \n",
       "15             7192.24      9675.10     9656.30     9687.20    9640.70   \n",
       "16             8416.55      9637.15     9704.25     9709.30    9630.20   \n",
       "17             8989.36      9663.90     9663.95     9678.55    9630.55   \n",
       "18             8822.63      9647.25     9682.40     9688.70    9641.50   \n",
       "19             9078.71      9668.25     9638.55     9676.25    9608.15   \n",
       "20             7686.89      9616.40     9646.70     9647.05    9598.50   \n",
       "21             7056.83      9606.90     9615.55     9654.15    9595.40   \n",
       "22            10540.68      9618.15     9621.55     9627.40    9580.45   \n",
       "23             9868.08      9578.05     9617.90     9621.40    9560.80   \n",
       "24            11920.62      9588.05     9595.45     9615.85    9565.50   \n",
       "25             8144.36      9657.55     9626.40     9673.30    9614.90   \n",
       "26             8476.67      9653.50     9670.50     9676.50    9643.75   \n",
       "27             8023.40      9633.60     9648.10     9650.45    9608.60   \n",
       "28            10738.45      9630.00     9642.65     9698.85    9617.75   \n",
       "29             9092.74      9574.95     9643.25     9647.65    9565.30   \n",
       "30            11084.51      9511.40     9594.05     9615.40    9473.45   \n",
       "31             9103.73      9491.25     9520.20     9522.50    9474.35   \n",
       "32            13395.85      9504.10     9522.95     9575.80    9493.80   \n",
       "33             8783.59      9520.90     9478.50     9535.80    9448.75   \n",
       "..                 ...          ...         ...         ...        ...   \n",
       "464           18356.52     11445.05    11531.45    11546.20   11413.00   \n",
       "465           25719.65     11570.00    11463.65    11588.50   11452.45   \n",
       "466           20515.25     11623.90    11625.45    11630.35   11570.15   \n",
       "467           18977.99     11669.15    11665.20    11738.10   11644.75   \n",
       "468           18673.70     11713.20    11711.55    11729.35   11655.85   \n",
       "469           19050.95     11643.95    11735.30    11761.00   11629.15   \n",
       "470           19713.01     11598.00    11660.20    11662.55   11559.20   \n",
       "471           15000.35     11665.95    11638.40    11689.65   11609.50   \n",
       "472           14203.96     11604.50    11704.35    11710.30   11549.10   \n",
       "473           15984.39     11671.95    11612.05    11683.90   11569.70   \n",
       "474           22258.46     11584.30    11646.85    11680.05   11571.75   \n",
       "475           14332.20     11596.70    11592.55    11606.70   11550.55   \n",
       "476           13598.61     11643.45    11612.85    11657.35   11578.80   \n",
       "477           15635.79     11690.35    11667.00    11704.60   11648.25   \n",
       "478           17585.48     11787.15    11736.20    11810.95   11731.55   \n",
       "479           18271.27     11752.80    11856.15    11856.15   11738.50   \n",
       "480           13754.12     11594.45    11727.05    11727.05   11583.95   \n",
       "481           14500.53     11575.95    11612.95    11645.95   11564.80   \n",
       "482           17046.66     11726.15    11601.50    11740.85   11578.85   \n",
       "483           28254.30     11641.80    11735.70    11796.75   11624.30   \n",
       "484           18098.83     11754.65    11683.75    11762.90   11661.75   \n",
       "485           23324.98     11748.15    11748.75    11756.25   11655.90   \n",
       "486           17790.06     11724.75    11725.55    11789.30   11699.55   \n",
       "487           15156.32     11712.25    11722.60    11770.90   11699.35   \n",
       "488           14703.42     11598.25    11605.80    11632.55   11571.35   \n",
       "489           16632.84     11497.90    11651.50    11657.05   11484.45   \n",
       "490           17440.01     11359.45    11478.70    11479.10   11346.95   \n",
       "491           17602.86     11301.80    11322.40    11357.60   11255.05   \n",
       "492           18085.19     11278.90    11314.15    11345.80   11251.05   \n",
       "493           16722.91     11148.20    11258.70    11300.20   11125.60   \n",
       "\n",
       "     Day_Perc_Change  Open-Close  High-Low     std_5     ret_5  Action  \\\n",
       "4          -0.016438    0.004435  0.012246  0.619882 -0.035542       1   \n",
       "5           0.109781    0.004430  0.007504  0.623390 -0.013585      -1   \n",
       "6          -0.552009    0.006236  0.008330  0.501656 -0.265538      -1   \n",
       "7          -0.272742    0.005350  0.009661  0.448964 -0.348471       1   \n",
       "8           1.593923   -0.013395  0.015364  0.834151  0.172503       1   \n",
       "9           0.897500   -0.009187  0.011532  0.881206  0.355291       1   \n",
       "10          0.102135   -0.004691  0.009432  0.881745  0.353761       1   \n",
       "11          0.204583   -0.003535  0.005646  0.741155  0.505080      -1   \n",
       "12         -0.034287    0.001588  0.004199  0.684065  0.552771      -1   \n",
       "13         -0.053527   -0.001307  0.004666  0.391331  0.223281       1   \n",
       "14          0.388931    0.000378  0.003741  0.182826  0.121567       1   \n",
       "15          0.223753   -0.001947  0.004823  0.187622  0.145891      -1   \n",
       "16         -0.392244    0.006914  0.008214  0.298208  0.026525       1   \n",
       "17          0.277572    0.000005  0.004984  0.314478  0.088897      -1   \n",
       "18         -0.172291    0.003630  0.004896  0.331926  0.065144       1   \n",
       "19          0.217679   -0.003081  0.007088  0.297180  0.030894      -1   \n",
       "20         -0.536291    0.003141  0.005058  0.361329 -0.121115      -1   \n",
       "21         -0.098790    0.000900  0.006123  0.328633 -0.062424       1   \n",
       "22          0.117103    0.000353  0.004901  0.293036 -0.094518      -1   \n",
       "23         -0.416920    0.004143  0.006338  0.327646 -0.143444       1   \n",
       "24          0.104405    0.000771  0.005264  0.299107 -0.166098       1   \n",
       "25          0.724861   -0.003236  0.006074  0.417290  0.086132      -1   \n",
       "26         -0.041936    0.001758  0.003396  0.411729  0.097503      -1   \n",
       "27         -0.206143    0.001503  0.004355  0.432725  0.032853      -1   \n",
       "28         -0.037369    0.001312  0.008432  0.361533  0.108764      -1   \n",
       "29         -0.571651    0.007083  0.008609  0.472853 -0.026448      -1   \n",
       "30         -0.663711    0.008615  0.014984  0.295962 -0.304162      -1   \n",
       "31         -0.211851    0.003041  0.005082  0.266627 -0.338145       1   \n",
       "32          0.135388    0.001979  0.008637  0.341994 -0.269839       1   \n",
       "33          0.176766   -0.004473  0.009213  0.388614 -0.227012       1   \n",
       "..               ...         ...       ...       ...       ...     ...   \n",
       "464        -0.332658    0.007493  0.011671  0.776552 -0.149542       1   \n",
       "465         1.091738   -0.009277  0.011880  0.957471  0.088489       1   \n",
       "466         0.465860    0.000133  0.005203  0.892165  0.293022       1   \n",
       "467         0.389284   -0.000339  0.008016  0.601879  0.550072       1   \n",
       "468         0.377491   -0.000141  0.006306  0.505034  0.398343      -1   \n",
       "469        -0.591213    0.007784  0.011338  0.602438  0.346632      -1   \n",
       "470        -0.394626    0.005334  0.008941  0.501036  0.049359       1   \n",
       "471         0.585877   -0.002367  0.006904  0.528121  0.073363      -1   \n",
       "472        -0.526747    0.008531  0.013958  0.549579 -0.109844       1   \n",
       "473         0.581240   -0.005158  0.009871  0.599989 -0.069094      -1   \n",
       "474        -0.750946    0.005371  0.009359  0.637800 -0.101040       1   \n",
       "475         0.107041   -0.000358  0.004861  0.619259 -0.000707       1   \n",
       "476         0.403132   -0.002635  0.006784  0.580141 -0.037256       1   \n",
       "477         0.402802   -0.002001  0.004838  0.530917  0.148654       1   \n",
       "478         0.828033   -0.004341  0.006768  0.589435  0.198013      -1   \n",
       "479        -0.291419    0.008717  0.010023  0.414284  0.289918      -1   \n",
       "480        -1.347339    0.011307  0.012353  0.853031 -0.000958      -1   \n",
       "481        -0.159559    0.003186  0.007017  0.822980 -0.113496       1   \n",
       "482         1.297518   -0.010744  0.013991  1.033620  0.065447      -1   \n",
       "483        -0.719332    0.008001  0.014835  0.978385 -0.244026       1   \n",
       "484         0.969352   -0.006068  0.008674  1.115917  0.008128      -1   \n",
       "485        -0.055297    0.000051  0.008609  0.838741  0.266536      -1   \n",
       "486        -0.199180    0.000068  0.007671  0.843944  0.258612      -1   \n",
       "487        -0.106612    0.000883  0.006116  0.614148 -0.022214      -1   \n",
       "488        -0.973340    0.000651  0.005289  0.691823 -0.073016      -1   \n",
       "489        -0.865217    0.013183  0.015029  0.442266 -0.439929      -1   \n",
       "490        -1.204133    0.010389  0.011646  0.488492 -0.669696      -1   \n",
       "491        -0.507507    0.001819  0.009111  0.430234 -0.731362      -1   \n",
       "492        -0.202623    0.003116  0.008421  0.396174 -0.750564      -1   \n",
       "493        -1.158801    0.009815  0.015694  0.429524 -0.787656      -1   \n",
       "\n",
       "     strategy_returns  \n",
       "4            0.016438  \n",
       "5           -0.109781  \n",
       "6            0.552009  \n",
       "7           -0.272742  \n",
       "8            1.593923  \n",
       "9            0.897500  \n",
       "10           0.102135  \n",
       "11          -0.204583  \n",
       "12           0.034287  \n",
       "13          -0.053527  \n",
       "14           0.388931  \n",
       "15           0.223753  \n",
       "16          -0.392244  \n",
       "17          -0.277572  \n",
       "18          -0.172291  \n",
       "19           0.217679  \n",
       "20           0.536291  \n",
       "21          -0.098790  \n",
       "22           0.117103  \n",
       "23          -0.416920  \n",
       "24           0.104405  \n",
       "25          -0.724861  \n",
       "26           0.041936  \n",
       "27           0.206143  \n",
       "28           0.037369  \n",
       "29          -0.571651  \n",
       "30           0.663711  \n",
       "31          -0.211851  \n",
       "32           0.135388  \n",
       "33           0.176766  \n",
       "..                ...  \n",
       "464         -0.332658  \n",
       "465          1.091738  \n",
       "466          0.465860  \n",
       "467          0.389284  \n",
       "468         -0.377491  \n",
       "469          0.591213  \n",
       "470         -0.394626  \n",
       "471          0.585877  \n",
       "472          0.526747  \n",
       "473          0.581240  \n",
       "474         -0.750946  \n",
       "475          0.107041  \n",
       "476          0.403132  \n",
       "477          0.402802  \n",
       "478         -0.828033  \n",
       "479          0.291419  \n",
       "480          1.347339  \n",
       "481         -0.159559  \n",
       "482         -1.297518  \n",
       "483         -0.719332  \n",
       "484          0.969352  \n",
       "485          0.055297  \n",
       "486          0.199180  \n",
       "487         -0.106612  \n",
       "488         -0.973340  \n",
       "489          0.865217  \n",
       "490          1.204133  \n",
       "491          0.507507  \n",
       "492          0.202623  \n",
       "493          1.158801  \n",
       "\n",
       "[490 rows x 18 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.strategy_returns[Y_train.size:].hist()\n",
    "plt.xlabel('Strategy returns (%):')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "((data.strategy_returns[Y_train.size:]+100)/100).cumprod().plot()\n",
    "plt.ylabel('Strategy returns (%):')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}