{
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    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "IJFIwaA_zVR2"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "import os\n",
        "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
        "  print(os.path.join(dirname, filename))"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train=pd.read_csv('/content/data (1).csv')\n",
        "train.sample(20)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "NUWS2DVTzjkG",
        "outputId": "e15fd089-e382-49f0-ea0b-050e547ecc3d"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                           Date       Open       High        Low      Close  \\\n",
              "7186  2008-09-08 00:00:00-04:00  13.022795  13.097282  12.737262  13.016587   \n",
              "7538  2010-02-01 00:00:00-05:00  12.606479  12.787774  12.587055  12.697127   \n",
              "9176  2016-08-03 00:00:00-04:00  27.629613  27.775459  27.540488  27.751152   \n",
              "633   1982-09-17 00:00:00-04:00   0.197472   0.197472   0.196020   0.196020   \n",
              "2063  1988-05-13 00:00:00-04:00   0.553211   0.561923   0.544499   0.555389   \n",
              "5290  2001-02-21 00:00:00-05:00  17.642546  18.638496  17.357988  17.500267   \n",
              "5828  2003-04-16 00:00:00-04:00  10.291652  10.497944  10.199967  10.406259   \n",
              "9969  2019-09-27 00:00:00-04:00  44.415860  44.933445  44.161452  44.547447   \n",
              "8736  2014-11-03 00:00:00-05:00  25.771054  26.281748  25.755809  26.152170   \n",
              "9576  2018-03-07 00:00:00-05:00  42.411700  43.518902  42.344083  43.375217   \n",
              "6442  2005-09-22 00:00:00-04:00  14.289544  14.441312  14.190311  14.336242   \n",
              "3511  1994-02-02 00:00:00-05:00   2.269937   2.304994   2.252408   2.287465   \n",
              "3259  1993-02-04 00:00:00-05:00   1.908102   1.929933   1.851339   1.908102   \n",
              "3754  1995-01-20 00:00:00-05:00   2.474260   2.483050   2.413283   2.419325   \n",
              "2405  1989-09-20 00:00:00-04:00   0.535787   0.548855   0.531431   0.544499   \n",
              "2468  1989-12-19 00:00:00-05:00   0.522719   0.544499   0.522719   0.540143   \n",
              "7161  2008-08-01 00:00:00-04:00  13.830115  13.891802  13.558694  13.786935   \n",
              "2852  1991-06-27 00:00:00-04:00   0.805859   0.810215   0.788435   0.794969   \n",
              "303   1981-05-29 00:00:00-04:00   0.239580   0.239580   0.238127   0.238127   \n",
              "3736  1994-12-23 00:00:00-05:00   2.219364   2.228154   2.206179   2.212772   \n",
              "\n",
              "         Volume  Dividends  Stock Splits  \n",
              "7186   63278600       0.00           0.0  \n",
              "7538   50338300       0.00           0.0  \n",
              "9176   18388800       0.26           0.0  \n",
              "633    42432000       0.00           0.0  \n",
              "2063   22377600       0.00           0.0  \n",
              "5290   51582200       0.00           0.0  \n",
              "5828  106294400       0.00           0.0  \n",
              "9969   14845700       0.00           0.0  \n",
              "8736   28703600       0.00           0.0  \n",
              "9576   31801900       0.00           0.0  \n",
              "6442   42372800       0.00           0.0  \n",
              "3511   50043200       0.00           0.0  \n",
              "3259  171360000       0.00           0.0  \n",
              "3754  146233600       0.00           0.0  \n",
              "2405   35619200       0.00           0.0  \n",
              "2468   40672000       0.00           0.0  \n",
              "7161   42123200       0.00           0.0  \n",
              "2852   46534400       0.00           0.0  \n",
              "303    27091200       0.00           0.0  \n",
              "3736   23969600       0.00           0.0  "
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              "    <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>Volume</th>\n",
              "      <th>Dividends</th>\n",
              "      <th>Stock Splits</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>7186</th>\n",
              "      <td>2008-09-08 00:00:00-04:00</td>\n",
              "      <td>13.022795</td>\n",
              "      <td>13.097282</td>\n",
              "      <td>12.737262</td>\n",
              "      <td>13.016587</td>\n",
              "      <td>63278600</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7538</th>\n",
              "      <td>2010-02-01 00:00:00-05:00</td>\n",
              "      <td>12.606479</td>\n",
              "      <td>12.787774</td>\n",
              "      <td>12.587055</td>\n",
              "      <td>12.697127</td>\n",
              "      <td>50338300</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9176</th>\n",
              "      <td>2016-08-03 00:00:00-04:00</td>\n",
              "      <td>27.629613</td>\n",
              "      <td>27.775459</td>\n",
              "      <td>27.540488</td>\n",
              "      <td>27.751152</td>\n",
              "      <td>18388800</td>\n",
              "      <td>0.26</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>633</th>\n",
              "      <td>1982-09-17 00:00:00-04:00</td>\n",
              "      <td>0.197472</td>\n",
              "      <td>0.197472</td>\n",
              "      <td>0.196020</td>\n",
              "      <td>0.196020</td>\n",
              "      <td>42432000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2063</th>\n",
              "      <td>1988-05-13 00:00:00-04:00</td>\n",
              "      <td>0.553211</td>\n",
              "      <td>0.561923</td>\n",
              "      <td>0.544499</td>\n",
              "      <td>0.555389</td>\n",
              "      <td>22377600</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5290</th>\n",
              "      <td>2001-02-21 00:00:00-05:00</td>\n",
              "      <td>17.642546</td>\n",
              "      <td>18.638496</td>\n",
              "      <td>17.357988</td>\n",
              "      <td>17.500267</td>\n",
              "      <td>51582200</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5828</th>\n",
              "      <td>2003-04-16 00:00:00-04:00</td>\n",
              "      <td>10.291652</td>\n",
              "      <td>10.497944</td>\n",
              "      <td>10.199967</td>\n",
              "      <td>10.406259</td>\n",
              "      <td>106294400</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9969</th>\n",
              "      <td>2019-09-27 00:00:00-04:00</td>\n",
              "      <td>44.415860</td>\n",
              "      <td>44.933445</td>\n",
              "      <td>44.161452</td>\n",
              "      <td>44.547447</td>\n",
              "      <td>14845700</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8736</th>\n",
              "      <td>2014-11-03 00:00:00-05:00</td>\n",
              "      <td>25.771054</td>\n",
              "      <td>26.281748</td>\n",
              "      <td>25.755809</td>\n",
              "      <td>26.152170</td>\n",
              "      <td>28703600</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9576</th>\n",
              "      <td>2018-03-07 00:00:00-05:00</td>\n",
              "      <td>42.411700</td>\n",
              "      <td>43.518902</td>\n",
              "      <td>42.344083</td>\n",
              "      <td>43.375217</td>\n",
              "      <td>31801900</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6442</th>\n",
              "      <td>2005-09-22 00:00:00-04:00</td>\n",
              "      <td>14.289544</td>\n",
              "      <td>14.441312</td>\n",
              "      <td>14.190311</td>\n",
              "      <td>14.336242</td>\n",
              "      <td>42372800</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3511</th>\n",
              "      <td>1994-02-02 00:00:00-05:00</td>\n",
              "      <td>2.269937</td>\n",
              "      <td>2.304994</td>\n",
              "      <td>2.252408</td>\n",
              "      <td>2.287465</td>\n",
              "      <td>50043200</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3259</th>\n",
              "      <td>1993-02-04 00:00:00-05:00</td>\n",
              "      <td>1.908102</td>\n",
              "      <td>1.929933</td>\n",
              "      <td>1.851339</td>\n",
              "      <td>1.908102</td>\n",
              "      <td>171360000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>3754</th>\n",
              "      <td>1995-01-20 00:00:00-05:00</td>\n",
              "      <td>2.474260</td>\n",
              "      <td>2.483050</td>\n",
              "      <td>2.413283</td>\n",
              "      <td>2.419325</td>\n",
              "      <td>146233600</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>2405</th>\n",
              "      <td>1989-09-20 00:00:00-04:00</td>\n",
              "      <td>0.535787</td>\n",
              "      <td>0.548855</td>\n",
              "      <td>0.531431</td>\n",
              "      <td>0.544499</td>\n",
              "      <td>35619200</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
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              "      <th>2468</th>\n",
              "      <td>1989-12-19 00:00:00-05:00</td>\n",
              "      <td>0.522719</td>\n",
              "      <td>0.544499</td>\n",
              "      <td>0.522719</td>\n",
              "      <td>0.540143</td>\n",
              "      <td>40672000</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>7161</th>\n",
              "      <td>2008-08-01 00:00:00-04:00</td>\n",
              "      <td>13.830115</td>\n",
              "      <td>13.891802</td>\n",
              "      <td>13.558694</td>\n",
              "      <td>13.786935</td>\n",
              "      <td>42123200</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>2852</th>\n",
              "      <td>1991-06-27 00:00:00-04:00</td>\n",
              "      <td>0.805859</td>\n",
              "      <td>0.810215</td>\n",
              "      <td>0.788435</td>\n",
              "      <td>0.794969</td>\n",
              "      <td>46534400</td>\n",
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              "      <td>0.0</td>\n",
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              "    <tr>\n",
              "      <th>303</th>\n",
              "      <td>1981-05-29 00:00:00-04:00</td>\n",
              "      <td>0.239580</td>\n",
              "      <td>0.239580</td>\n",
              "      <td>0.238127</td>\n",
              "      <td>0.238127</td>\n",
              "      <td>27091200</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3736</th>\n",
              "      <td>1994-12-23 00:00:00-05:00</td>\n",
              "      <td>2.219364</td>\n",
              "      <td>2.228154</td>\n",
              "      <td>2.206179</td>\n",
              "      <td>2.212772</td>\n",
              "      <td>23969600</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
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              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-26e5a833-fc16-4254-b7ff-2f123a8232b1 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "repr_error": "0"
            }
          },
          "metadata": {},
          "execution_count": 2
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 338
        },
        "id": "fQDcHcNmzr5q",
        "outputId": "9ddd067d-8647-489f-87c9-a4979a339ff4"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "               Open          High           Low         Close        Volume  \\\n",
              "count  11289.000000  11289.000000  11289.000000  11289.000000  1.128900e+04   \n",
              "mean      14.986168     15.185892     14.787731     14.985933  5.064025e+07   \n",
              "std       14.708247     14.892642     14.526521     14.709644  3.475946e+07   \n",
              "min        0.121968      0.121968      0.120516      0.120516  0.000000e+00   \n",
              "25%        0.810214      0.827638      0.797147      0.814571  2.744880e+07   \n",
              "50%       12.757638     12.917269     12.590077     12.742243  4.456490e+07   \n",
              "75%       22.624974     22.879999     22.350709     22.617407  6.459720e+07   \n",
              "max       62.028760     62.292520     60.600833     62.083344  5.677088e+08   \n",
              "\n",
              "          Dividends  Stock Splits  \n",
              "count  11289.000000  11289.000000  \n",
              "mean       0.001581      0.001373  \n",
              "std        0.019592      0.051749  \n",
              "min        0.000000      0.000000  \n",
              "25%        0.000000      0.000000  \n",
              "50%        0.000000      0.000000  \n",
              "75%        0.000000      0.000000  \n",
              "max        0.365000      2.000000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-74ffb772-68cd-46d2-9f93-1da5bf716a84\" class=\"colab-df-container\">\n",
              "    <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>Open</th>\n",
              "      <th>High</th>\n",
              "      <th>Low</th>\n",
              "      <th>Close</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Dividends</th>\n",
              "      <th>Stock Splits</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>11289.000000</td>\n",
              "      <td>11289.000000</td>\n",
              "      <td>11289.000000</td>\n",
              "      <td>11289.000000</td>\n",
              "      <td>1.128900e+04</td>\n",
              "      <td>11289.000000</td>\n",
              "      <td>11289.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>14.986168</td>\n",
              "      <td>15.185892</td>\n",
              "      <td>14.787731</td>\n",
              "      <td>14.985933</td>\n",
              "      <td>5.064025e+07</td>\n",
              "      <td>0.001581</td>\n",
              "      <td>0.001373</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>14.708247</td>\n",
              "      <td>14.892642</td>\n",
              "      <td>14.526521</td>\n",
              "      <td>14.709644</td>\n",
              "      <td>3.475946e+07</td>\n",
              "      <td>0.019592</td>\n",
              "      <td>0.051749</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.121968</td>\n",
              "      <td>0.121968</td>\n",
              "      <td>0.120516</td>\n",
              "      <td>0.120516</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.810214</td>\n",
              "      <td>0.827638</td>\n",
              "      <td>0.797147</td>\n",
              "      <td>0.814571</td>\n",
              "      <td>2.744880e+07</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>12.757638</td>\n",
              "      <td>12.917269</td>\n",
              "      <td>12.590077</td>\n",
              "      <td>12.742243</td>\n",
              "      <td>4.456490e+07</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>22.624974</td>\n",
              "      <td>22.879999</td>\n",
              "      <td>22.350709</td>\n",
              "      <td>22.617407</td>\n",
              "      <td>6.459720e+07</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>62.028760</td>\n",
              "      <td>62.292520</td>\n",
              "      <td>60.600833</td>\n",
              "      <td>62.083344</td>\n",
              "      <td>5.677088e+08</td>\n",
              "      <td>0.365000</td>\n",
              "      <td>2.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-74ffb772-68cd-46d2-9f93-1da5bf716a84')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-74ffb772-68cd-46d2-9f93-1da5bf716a84 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-74ffb772-68cd-46d2-9f93-1da5bf716a84');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-a3c35c5c-0ac3-4258-9dcc-63c6a8f00a5f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a3c35c5c-0ac3-4258-9dcc-63c6a8f00a5f')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-a3c35c5c-0ac3-4258-9dcc-63c6a8f00a5f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
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            "RangeIndex: 11289 entries, 0 to 11288\n",
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        "\n",
        "train.set_index('Date', inplace=True)\n",
        "\n",
        "train.head()"
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            "<ipython-input-8-ca2f29fda85d>:1: FutureWarning: In a future version of pandas, parsing datetimes with mixed time zones will raise an error unless `utc=True`. Please specify `utc=True` to opt in to the new behaviour and silence this warning. To create a `Series` with mixed offsets and `object` dtype, please use `apply` and `datetime.datetime.strptime`\n",
            "  train['Date'] = pd.to_datetime(train['Date'])\n"
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              "                               Open      High       Low     Close    Volume  \\\n",
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              "summary": "{\n  \"name\": \"train\",\n  \"rows\": 11289,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 11289,\n        \"samples\": [\n          \"2005-09-30 00:00:00-04:00\",\n          \"1996-07-12 00:00:00-04:00\",\n          \"2023-11-17 00:00:00-05:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Open\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.708246895727896,\n        \"min\": 0.121967708,\n        \"max\": 62.0287604,\n        \"num_unique_values\": 10235,\n        \"samples\": [\n          0.217799649,\n          38.19956342,\n          12.56713476\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"High\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.892642189263558,\n        \"min\": 0.121967708,\n        \"max\": 62.2925199,\n        \"num_unique_values\": 9923,\n        \"samples\": [\n          10.52320472,\n          0.421079006,\n          9.364270401\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Low\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.526521042423367,\n        \"min\": 0.120515808,\n        \"max\": 60.60083325,\n        \"num_unique_values\": 9857,\n        \"samples\": [\n          39.87258453,\n          0.360095072,\n          55.46208027\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.709644292423453,\n        \"min\": 0.120515808,\n        \"max\": 62.08334351,\n        \"num_unique_values\": 7999,\n        \"samples\": [\n          16.59060097,\n          14.25704384,\n          10.75390244\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Volume\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 34759456,\n        \"min\": 0,\n        \"max\": 567708800,\n        \"num_unique_values\": 10831,\n        \"samples\": [\n          5510400,\n          43139200,\n          59109200\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Dividends\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.019592219401798217,\n        \"min\": 0.0,\n        \"max\": 0.365,\n        \"num_unique_values\": 28,\n        \"samples\": [\n          0.04,\n          0.348,\n          0.02\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Stock Splits\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.05174892897105917,\n        \"min\": 0.0,\n        \"max\": 2.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.0,\n          2.0,\n          1.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['Daily Return'] = train['Close'].pct_change() * 100\n",
        "\n",
        "train['7-Day MA'] = train['Close'].rolling(window=7).mean()\n",
        "train['30-Day MA'] = train['Close'].rolling(window=30).mean()\n",
        "\n",
        "train.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 970
        },
        "id": "IXVP_Ccj0ShM",
        "outputId": "23b45855-d9b4-4ac4-85b7-cb9e5c4a797a"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                               Open      High       Low     Close    Volume  \\\n",
              "Date                                                                          \n",
              "1980-03-17 00:00:00-05:00  0.181500  0.184404  0.181500  0.181500  10924800   \n",
              "1980-03-18 00:00:00-05:00  0.181500  0.182952  0.180048  0.180048  17068800   \n",
              "1980-03-19 00:00:00-05:00  0.184404  0.187308  0.184404  0.184404  18508800   \n",
              "1980-03-20 00:00:00-05:00  0.184403  0.186581  0.183678  0.183678  11174400   \n",
              "1980-03-21 00:00:00-05:00  0.180048  0.180048  0.177143  0.177143  12172800   \n",
              "1980-03-24 00:00:00-05:00  0.176417  0.176417  0.173514  0.173514   8966400   \n",
              "1980-03-25 00:00:00-05:00  0.174240  0.177144  0.174240  0.174240  11347200   \n",
              "1980-03-26 00:00:00-05:00  0.174240  0.175692  0.172788  0.172788  16262400   \n",
              "1980-03-27 00:00:00-05:00  0.169884  0.169884  0.166980  0.166980  26918400   \n",
              "1980-03-28 00:00:00-05:00  0.173514  0.176417  0.173514  0.173514  20102400   \n",
              "\n",
              "                           Dividends  Stock Splits  Daily Return  7-Day MA  \\\n",
              "Date                                                                         \n",
              "1980-03-17 00:00:00-05:00        0.0           0.0           NaN       NaN   \n",
              "1980-03-18 00:00:00-05:00        0.0           0.0     -0.799935       NaN   \n",
              "1980-03-19 00:00:00-05:00        0.0           0.0      2.419199       NaN   \n",
              "1980-03-20 00:00:00-05:00        0.0           0.0     -0.393694       NaN   \n",
              "1980-03-21 00:00:00-05:00        0.0           0.0     -3.557432       NaN   \n",
              "1980-03-24 00:00:00-05:00        0.0           0.0     -2.049001       NaN   \n",
              "1980-03-25 00:00:00-05:00        0.0           0.0      0.418462  0.179218   \n",
              "1980-03-26 00:00:00-05:00        0.0           0.0     -0.833300  0.177973   \n",
              "1980-03-27 00:00:00-05:00        0.0           0.0     -3.361440  0.176106   \n",
              "1980-03-28 00:00:00-05:00        0.0           0.0      3.913058  0.174551   \n",
              "\n",
              "                           30-Day MA  \n",
              "Date                                  \n",
              "1980-03-17 00:00:00-05:00        NaN  \n",
              "1980-03-18 00:00:00-05:00        NaN  \n",
              "1980-03-19 00:00:00-05:00        NaN  \n",
              "1980-03-20 00:00:00-05:00        NaN  \n",
              "1980-03-21 00:00:00-05:00        NaN  \n",
              "1980-03-24 00:00:00-05:00        NaN  \n",
              "1980-03-25 00:00:00-05:00        NaN  \n",
              "1980-03-26 00:00:00-05:00        NaN  \n",
              "1980-03-27 00:00:00-05:00        NaN  \n",
              "1980-03-28 00:00:00-05:00        NaN  "
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              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-54e9ac29-5f2f-4ea5-b8d2-32d595e051b8 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "train",
              "summary": "{\n  \"name\": \"train\",\n  \"rows\": 11289,\n  \"fields\": [\n    {\n      \"column\": \"Date\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 11289,\n        \"samples\": [\n          \"2005-09-30 00:00:00-04:00\",\n          \"1996-07-12 00:00:00-04:00\",\n          \"2023-11-17 00:00:00-05:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Open\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.708246895727896,\n        \"min\": 0.121967708,\n        \"max\": 62.0287604,\n        \"num_unique_values\": 10235,\n        \"samples\": [\n          0.217799649,\n          38.19956342,\n          12.56713476\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"High\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.892642189263558,\n        \"min\": 0.121967708,\n        \"max\": 62.2925199,\n        \"num_unique_values\": 9923,\n        \"samples\": [\n          10.52320472,\n          0.421079006,\n          9.364270401\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Low\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.526521042423367,\n        \"min\": 0.120515808,\n        \"max\": 60.60083325,\n        \"num_unique_values\": 9857,\n        \"samples\": [\n          39.87258453,\n          0.360095072,\n          55.46208027\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Close\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.709644292423453,\n        \"min\": 0.120515808,\n        \"max\": 62.08334351,\n        \"num_unique_values\": 7999,\n        \"samples\": [\n          16.59060097,\n          14.25704384,\n          10.75390244\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Volume\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 34759456,\n        \"min\": 0,\n        \"max\": 567708800,\n        \"num_unique_values\": 10831,\n        \"samples\": [\n          5510400,\n          43139200,\n          59109200\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Dividends\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.019592219401798217,\n        \"min\": 0.0,\n        \"max\": 0.365,\n        \"num_unique_values\": 28,\n        \"samples\": [\n          0.04,\n          0.348,\n          0.02\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Stock Splits\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.05174892897105917,\n        \"min\": 0.0,\n        \"max\": 2.0,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          0.0,\n          2.0,\n          1.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Daily Return\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.5226338717913688,\n        \"min\": -26.058514561573208,\n        \"max\": 26.378041994468603,\n        \"num_unique_values\": 10286,\n        \"samples\": [\n          0.3757846127687037,\n          0.356730448388376,\n          0.6518626795502858\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"7-Day MA\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.70227910815849,\n        \"min\": 0.12321235228571428,\n        \"max\": 60.32537950857142,\n        \"num_unique_values\": 11140,\n        \"samples\": [\n          13.281238692857144,\n          0.14416258457142855,\n          18.49832316857143\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"30-Day MA\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 14.679627491429843,\n        \"min\": 0.13416450253333334,\n        \"max\": 58.625973384,\n        \"num_unique_values\": 11221,\n        \"samples\": [\n          42.51594085766667,\n          45.744107183,\n          12.367740472333333\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train['7-Day MA'] = train['7-Day MA'].fillna(method='ffill').fillna(method='bfill')\n",
        "train['30-Day MA'] = train['30-Day MA'].fillna(method='ffill').fillna(method='bfill')\n",
        "\n",
        "train['Daily Return'] = train['Daily Return'].fillna(0)\n",
        "\n",
        "missing_values_after = train.isnull().sum()\n",
        "missing_values_after"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "eCdosU1p0mDO",
        "outputId": "fa1d433b-24e5-4ed4-b94c-dade52723dd8"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-10-0ac71e9161bc>:1: FutureWarning: Series.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n",
            "  train['7-Day MA'] = train['7-Day MA'].fillna(method='ffill').fillna(method='bfill')\n",
            "<ipython-input-10-0ac71e9161bc>:2: FutureWarning: Series.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n",
            "  train['30-Day MA'] = train['30-Day MA'].fillna(method='ffill').fillna(method='bfill')\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Open            0\n",
              "High            0\n",
              "Low             0\n",
              "Close           0\n",
              "Volume          0\n",
              "Dividends       0\n",
              "Stock Splits    0\n",
              "Daily Return    0\n",
              "7-Day MA        0\n",
              "30-Day MA       0\n",
              "dtype: int64"
            ],
            "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>0</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>Open</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>High</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Low</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Close</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Volume</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Dividends</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Stock Splits</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>Daily Return</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7-Day MA</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30-Day MA</th>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div><br><label><b>dtype:</b> int64</label>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    }
  ]
}