01. Preprocessing.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "82e917be",
   "metadata": {},
   "source": [
    "## Import Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ef2b526c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "pd.set_option('display.max_rows', 100)\n",
    "pd.set_option('display.max_columns', 100)\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os\n",
    "%matplotlib inline\n",
    "\n",
    "import FinanceDataReader as fdr\n",
    "import ta"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70e852be",
   "metadata": {},
   "source": [
    "## Import Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8a392bec",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[           Date    Open    High     Low   Close   Volume    Change\n",
       " 0    2018-06-01   90800   92200   89600   91400  4790644 -0.021413\n",
       " 1    2018-06-04   91000   92400   89700   89800  3141036 -0.017505\n",
       " 2    2018-06-05   89800   91300   89800   91000  2758383  0.013363\n",
       " 3    2018-06-07   92700   92700   90600   90900  2754947 -0.001099\n",
       " 4    2018-06-08   91000   91000   87600   88400  4579508 -0.027503\n",
       " ...         ...     ...     ...     ...     ...      ...       ...\n",
       " 1411 2024-02-23  166900  166900  159800  161400  7012032  0.031310\n",
       " 1412 2024-02-26  158400  164800  158400  161800  4329477  0.002478\n",
       " 1413 2024-02-27  159000  160000  153300  153800  6107954 -0.049444\n",
       " 1414 2024-02-28  154500  159200  153800  158000  3666960  0.027308\n",
       " 1415 2024-02-29  154900  158400  154500  156200  3386307 -0.011392\n",
       " \n",
       " [1416 rows x 7 columns],\n",
       "            Date   Open   High    Low  Close   Volume    Change\n",
       " 0    2018-06-01  52600  52800  52100  52300   860865  0.009653\n",
       " 1    2018-06-04  53000  54700  52800  54400  1480544  0.040153\n",
       " 2    2018-06-05  54700  55400  54400  55000  1107743  0.011029\n",
       " 3    2018-06-07  56700  57100  55900  56100  1366695  0.020000\n",
       " 4    2018-06-08  56100  56700  55700  56000  1038272 -0.001783\n",
       " ...         ...    ...    ...    ...    ...      ...       ...\n",
       " 1411 2024-02-23  65000  66600  64500  65800  1813624  0.013867\n",
       " 1412 2024-02-26  64200  64800  59700  62500  2648251 -0.050152\n",
       " 1413 2024-02-27  62000  63200  61500  62400  1643919 -0.001600\n",
       " 1414 2024-02-28  62000  62900  60900  62300  1588795 -0.001603\n",
       " 1415 2024-02-29  61900  64200  61900  63500  3356139  0.019262\n",
       " \n",
       " [1416 rows x 7 columns],\n",
       "            Date    Open    High     Low   Close   Volume    Change\n",
       " 0    2018-06-01  231308  240456  230873  238281   986947  0.030133\n",
       " 1    2018-06-04  237406  238277  230002  232182   779702 -0.025596\n",
       " 2    2018-06-05  235228  236099  231308  232618   456286  0.001878\n",
       " 3    2018-06-07  233923  237842  232179  236103   658237  0.014982\n",
       " 4    2018-06-08  236099  239585  233486  234796   474704 -0.005536\n",
       " ...         ...     ...     ...     ...     ...      ...       ...\n",
       " 1411 2024-02-23  177200  184400  176800  180000   824438  0.019830\n",
       " 1412 2024-02-26  182000  183200  180800  181500   484919  0.008333\n",
       " 1413 2024-02-27  182000  191400  181300  190100  1624711  0.047383\n",
       " 1414 2024-02-28  190200  193400  186500  190000   816144 -0.000526\n",
       " 1415 2024-02-29  189600  191300  179700  179700  1353256 -0.054211\n",
       " \n",
       " [1416 rows x 7 columns],\n",
       "            Date   Open   High    Low  Close  Volume    Change\n",
       " 0    2018-06-01  41200  43200  40800  42050  358122  0.012034\n",
       " 1    2018-06-04  42200  42500  41250  42100  192558  0.001189\n",
       " 2    2018-06-05  42100  42400  39850  40500  307150 -0.038005\n",
       " 3    2018-06-07  40450  40500  38500  39150  484354 -0.033333\n",
       " 4    2018-06-08  38950  39700  38500  39300  275446  0.003831\n",
       " ...         ...    ...    ...    ...    ...     ...       ...\n",
       " 1411 2024-02-23  80300  80800  79700  80200   62083 -0.001245\n",
       " 1412 2024-02-26  80400  82500  80000  80700   66349  0.006234\n",
       " 1413 2024-02-27  80700  81100  76700  77900  177558 -0.034696\n",
       " 1414 2024-02-28  78200  80600  78200  79500   90977  0.020539\n",
       " 1415 2024-02-29  79600  79700  77600  78200   86369 -0.016352\n",
       " \n",
       " [1416 rows x 7 columns],\n",
       "            Date    Open    High     Low   Close  Volume    Change\n",
       " 0    2018-06-01  355000  364000  354000  363500  102259  0.029745\n",
       " 1    2018-06-04  362000  367000  358500  363500   78419  0.000000\n",
       " 2    2018-06-05  364500  366000  355500  356500   79083 -0.019257\n",
       " 3    2018-06-07  355500  355500  348500  353000  135937 -0.009818\n",
       " 4    2018-06-08  355000  367500  354500  365000  124079  0.033994\n",
       " ...         ...     ...     ...     ...     ...     ...       ...\n",
       " 1411 2024-02-23  205500  205500  202000  205000   60411  0.004902\n",
       " 1412 2024-02-26  206000  207000  201000  201500   67156 -0.017073\n",
       " 1413 2024-02-27  201000  202000  196500  198100  106971 -0.016873\n",
       " 1414 2024-02-28  198200  201000  198000  199600   49470  0.007572\n",
       " 1415 2024-02-29  198800  198800  193800  194000  175223 -0.028056\n",
       " \n",
       " [1416 rows x 7 columns]]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sk하이닉스, kb금융, 셀트리온, 에스엠, 엔씨소프트 \n",
    "code_list = ['000660', '105560', '068270', '041510', '036570']\n",
    "start, end = '2018-06', '2024-02-29'\n",
    "\n",
    "portfolio = [fdr.DataReader(code, start = start, end = end).reset_index() for code in code_list]\n",
    "portfolio"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7003780",
   "metadata": {},
   "source": [
    "## Indicators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "46902faa",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>Volume</th>\n",
       "      <th>Change</th>\n",
       "      <th>5MA</th>\n",
       "      <th>5Disparity</th>\n",
       "      <th>20MA</th>\n",
       "      <th>20Disparity</th>\n",
       "      <th>60MA</th>\n",
       "      <th>60Disparity</th>\n",
       "      <th>120MA</th>\n",
       "      <th>120Disparity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-06-01</td>\n",
       "      <td>90800</td>\n",
       "      <td>92200</td>\n",
       "      <td>89600</td>\n",
       "      <td>91400</td>\n",
       "      <td>4790644</td>\n",
       "      <td>-0.021413</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-06-04</td>\n",
       "      <td>91000</td>\n",
       "      <td>92400</td>\n",
       "      <td>89700</td>\n",
       "      <td>89800</td>\n",
       "      <td>3141036</td>\n",
       "      <td>-0.017505</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-06-05</td>\n",
       "      <td>89800</td>\n",
       "      <td>91300</td>\n",
       "      <td>89800</td>\n",
       "      <td>91000</td>\n",
       "      <td>2758383</td>\n",
       "      <td>0.013363</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-06-07</td>\n",
       "      <td>92700</td>\n",
       "      <td>92700</td>\n",
       "      <td>90600</td>\n",
       "      <td>90900</td>\n",
       "      <td>2754947</td>\n",
       "      <td>-0.001099</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-06-08</td>\n",
       "      <td>91000</td>\n",
       "      <td>91000</td>\n",
       "      <td>87600</td>\n",
       "      <td>88400</td>\n",
       "      <td>4579508</td>\n",
       "      <td>-0.027503</td>\n",
       "      <td>90300.0</td>\n",
       "      <td>0.978959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1411</th>\n",
       "      <td>2024-02-23</td>\n",
       "      <td>166900</td>\n",
       "      <td>166900</td>\n",
       "      <td>159800</td>\n",
       "      <td>161400</td>\n",
       "      <td>7012032</td>\n",
       "      <td>0.031310</td>\n",
       "      <td>153560.0</td>\n",
       "      <td>1.051055</td>\n",
       "      <td>143035.0</td>\n",
       "      <td>1.128395</td>\n",
       "      <td>137925.000000</td>\n",
       "      <td>1.170201</td>\n",
       "      <td>130473.333333</td>\n",
       "      <td>1.237034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>2024-02-26</td>\n",
       "      <td>158400</td>\n",
       "      <td>164800</td>\n",
       "      <td>158400</td>\n",
       "      <td>161800</td>\n",
       "      <td>4329477</td>\n",
       "      <td>0.002478</td>\n",
       "      <td>155660.0</td>\n",
       "      <td>1.039445</td>\n",
       "      <td>144255.0</td>\n",
       "      <td>1.121625</td>\n",
       "      <td>138443.333333</td>\n",
       "      <td>1.168709</td>\n",
       "      <td>130855.833333</td>\n",
       "      <td>1.236475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1413</th>\n",
       "      <td>2024-02-27</td>\n",
       "      <td>159000</td>\n",
       "      <td>160000</td>\n",
       "      <td>153300</td>\n",
       "      <td>153800</td>\n",
       "      <td>6107954</td>\n",
       "      <td>-0.049444</td>\n",
       "      <td>156500.0</td>\n",
       "      <td>0.982748</td>\n",
       "      <td>145145.0</td>\n",
       "      <td>1.059630</td>\n",
       "      <td>138816.666667</td>\n",
       "      <td>1.107936</td>\n",
       "      <td>131149.166667</td>\n",
       "      <td>1.172710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1414</th>\n",
       "      <td>2024-02-28</td>\n",
       "      <td>154500</td>\n",
       "      <td>159200</td>\n",
       "      <td>153800</td>\n",
       "      <td>158000</td>\n",
       "      <td>3666960</td>\n",
       "      <td>0.027308</td>\n",
       "      <td>158300.0</td>\n",
       "      <td>0.998105</td>\n",
       "      <td>146295.0</td>\n",
       "      <td>1.080010</td>\n",
       "      <td>139276.666667</td>\n",
       "      <td>1.134433</td>\n",
       "      <td>131470.833333</td>\n",
       "      <td>1.201787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1415</th>\n",
       "      <td>2024-02-29</td>\n",
       "      <td>154900</td>\n",
       "      <td>158400</td>\n",
       "      <td>154500</td>\n",
       "      <td>156200</td>\n",
       "      <td>3386307</td>\n",
       "      <td>-0.011392</td>\n",
       "      <td>158240.0</td>\n",
       "      <td>0.987108</td>\n",
       "      <td>147260.0</td>\n",
       "      <td>1.060709</td>\n",
       "      <td>139648.333333</td>\n",
       "      <td>1.118524</td>\n",
       "      <td>131757.500000</td>\n",
       "      <td>1.185511</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1416 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date    Open    High     Low   Close   Volume    Change       5MA  \\\n",
       "0    2018-06-01   90800   92200   89600   91400  4790644 -0.021413       NaN   \n",
       "1    2018-06-04   91000   92400   89700   89800  3141036 -0.017505       NaN   \n",
       "2    2018-06-05   89800   91300   89800   91000  2758383  0.013363       NaN   \n",
       "3    2018-06-07   92700   92700   90600   90900  2754947 -0.001099       NaN   \n",
       "4    2018-06-08   91000   91000   87600   88400  4579508 -0.027503   90300.0   \n",
       "...         ...     ...     ...     ...     ...      ...       ...       ...   \n",
       "1411 2024-02-23  166900  166900  159800  161400  7012032  0.031310  153560.0   \n",
       "1412 2024-02-26  158400  164800  158400  161800  4329477  0.002478  155660.0   \n",
       "1413 2024-02-27  159000  160000  153300  153800  6107954 -0.049444  156500.0   \n",
       "1414 2024-02-28  154500  159200  153800  158000  3666960  0.027308  158300.0   \n",
       "1415 2024-02-29  154900  158400  154500  156200  3386307 -0.011392  158240.0   \n",
       "\n",
       "      5Disparity      20MA  20Disparity           60MA  60Disparity  \\\n",
       "0            NaN       NaN          NaN            NaN          NaN   \n",
       "1            NaN       NaN          NaN            NaN          NaN   \n",
       "2            NaN       NaN          NaN            NaN          NaN   \n",
       "3            NaN       NaN          NaN            NaN          NaN   \n",
       "4       0.978959       NaN          NaN            NaN          NaN   \n",
       "...          ...       ...          ...            ...          ...   \n",
       "1411    1.051055  143035.0     1.128395  137925.000000     1.170201   \n",
       "1412    1.039445  144255.0     1.121625  138443.333333     1.168709   \n",
       "1413    0.982748  145145.0     1.059630  138816.666667     1.107936   \n",
       "1414    0.998105  146295.0     1.080010  139276.666667     1.134433   \n",
       "1415    0.987108  147260.0     1.060709  139648.333333     1.118524   \n",
       "\n",
       "              120MA  120Disparity  \n",
       "0               NaN           NaN  \n",
       "1               NaN           NaN  \n",
       "2               NaN           NaN  \n",
       "3               NaN           NaN  \n",
       "4               NaN           NaN  \n",
       "...             ...           ...  \n",
       "1411  130473.333333      1.237034  \n",
       "1412  130855.833333      1.236475  \n",
       "1413  131149.166667      1.172710  \n",
       "1414  131470.833333      1.201787  \n",
       "1415  131757.500000      1.185511  \n",
       "\n",
       "[1416 rows x 15 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 이동평균(MA), 이격도(disparity)\n",
    "period = [5, 20, 60, 120]\n",
    "\n",
    "for stock in portfolio :\n",
    "    for p in period :\n",
    "        stock[f\"{p}MA\"] = stock[\"Close\"].rolling(window = p).mean()\n",
    "        stock[f\"{p}Disparity\"] = stock[\"Close\"] / stock[f\"{p}MA\"]\n",
    "\n",
    "portfolio[0]    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3c1995fe",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <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>Change</th>\n",
       "      <th>5MA</th>\n",
       "      <th>5Disparity</th>\n",
       "      <th>20MA</th>\n",
       "      <th>20Disparity</th>\n",
       "      <th>60MA</th>\n",
       "      <th>60Disparity</th>\n",
       "      <th>120MA</th>\n",
       "      <th>120Disparity</th>\n",
       "      <th>bol_high</th>\n",
       "      <th>bol_low</th>\n",
       "      <th>PPO</th>\n",
       "      <th>PVO</th>\n",
       "      <th>SO</th>\n",
       "      <th>Williams_R</th>\n",
       "      <th>EOM</th>\n",
       "      <th>MFI</th>\n",
       "      <th>NVI</th>\n",
       "      <th>OBV</th>\n",
       "      <th>ATR</th>\n",
       "      <th>UI</th>\n",
       "      <th>ADX</th>\n",
       "      <th>MACD</th>\n",
       "      <th>TRIX</th>\n",
       "      <th>CCI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-06-01</td>\n",
       "      <td>90800</td>\n",
       "      <td>92200</td>\n",
       "      <td>89600</td>\n",
       "      <td>91400</td>\n",
       "      <td>4790644</td>\n",
       "      <td>-0.021413</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>69.230769</td>\n",
       "      <td>-30.769231</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>4790644</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-6.407454</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-06-04</td>\n",
       "      <td>91000</td>\n",
       "      <td>92400</td>\n",
       "      <td>89700</td>\n",
       "      <td>89800</td>\n",
       "      <td>3141036</td>\n",
       "      <td>-0.017505</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.139826</td>\n",
       "      <td>-2.818765</td>\n",
       "      <td>7.142857</td>\n",
       "      <td>-92.857143</td>\n",
       "      <td>1.289384e+07</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>982.494530</td>\n",
       "      <td>1649608</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-127.635328</td>\n",
       "      <td>-0.010522</td>\n",
       "      <td>-66.666667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-06-05</td>\n",
       "      <td>89800</td>\n",
       "      <td>91300</td>\n",
       "      <td>89800</td>\n",
       "      <td>91000</td>\n",
       "      <td>2758383</td>\n",
       "      <td>0.013363</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.142946</td>\n",
       "      <td>-5.825487</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>-50.000000</td>\n",
       "      <td>-2.718984e+07</td>\n",
       "      <td>46.775164</td>\n",
       "      <td>995.623632</td>\n",
       "      <td>4407991</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-130.453487</td>\n",
       "      <td>-0.017937</td>\n",
       "      <td>-37.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-06-07</td>\n",
       "      <td>92700</td>\n",
       "      <td>92700</td>\n",
       "      <td>90600</td>\n",
       "      <td>90900</td>\n",
       "      <td>2754947</td>\n",
       "      <td>-0.001099</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.152522</td>\n",
       "      <td>-8.292262</td>\n",
       "      <td>41.935484</td>\n",
       "      <td>-58.064516</td>\n",
       "      <td>8.384916e+07</td>\n",
       "      <td>63.811695</td>\n",
       "      <td>994.529540</td>\n",
       "      <td>1653044</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-139.152004</td>\n",
       "      <td>-0.023556</td>\n",
       "      <td>105.882353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-06-08</td>\n",
       "      <td>91000</td>\n",
       "      <td>91000</td>\n",
       "      <td>87600</td>\n",
       "      <td>88400</td>\n",
       "      <td>4579508</td>\n",
       "      <td>-0.027503</td>\n",
       "      <td>90300.0</td>\n",
       "      <td>0.978959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.377715</td>\n",
       "      <td>-6.662330</td>\n",
       "      <td>15.686275</td>\n",
       "      <td>-84.313725</td>\n",
       "      <td>-1.744729e+08</td>\n",
       "      <td>42.033834</td>\n",
       "      <td>994.529540</td>\n",
       "      <td>-2926464</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-343.811504</td>\n",
       "      <td>-0.044010</td>\n",
       "      <td>-166.666667</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",
       "      <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>1411</th>\n",
       "      <td>2024-02-23</td>\n",
       "      <td>166900</td>\n",
       "      <td>166900</td>\n",
       "      <td>159800</td>\n",
       "      <td>161400</td>\n",
       "      <td>7012032</td>\n",
       "      <td>0.031310</td>\n",
       "      <td>153560.0</td>\n",
       "      <td>1.051055</td>\n",
       "      <td>143035.0</td>\n",
       "      <td>1.128395</td>\n",
       "      <td>137925.000000</td>\n",
       "      <td>1.170201</td>\n",
       "      <td>130473.333333</td>\n",
       "      <td>1.237034</td>\n",
       "      <td>159674.384003</td>\n",
       "      <td>126395.615997</td>\n",
       "      <td>3.497168</td>\n",
       "      <td>13.383683</td>\n",
       "      <td>84.375000</td>\n",
       "      <td>-15.625000</td>\n",
       "      <td>8.910399e+08</td>\n",
       "      <td>77.433132</td>\n",
       "      <td>998.855340</td>\n",
       "      <td>164667218</td>\n",
       "      <td>5539.647754</td>\n",
       "      <td>0.981157</td>\n",
       "      <td>41.052712</td>\n",
       "      <td>5046.822711</td>\n",
       "      <td>0.589921</td>\n",
       "      <td>237.608133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>2024-02-26</td>\n",
       "      <td>158400</td>\n",
       "      <td>164800</td>\n",
       "      <td>158400</td>\n",
       "      <td>161800</td>\n",
       "      <td>4329477</td>\n",
       "      <td>0.002478</td>\n",
       "      <td>155660.0</td>\n",
       "      <td>1.039445</td>\n",
       "      <td>144255.0</td>\n",
       "      <td>1.121625</td>\n",
       "      <td>138443.333333</td>\n",
       "      <td>1.168709</td>\n",
       "      <td>130855.833333</td>\n",
       "      <td>1.236475</td>\n",
       "      <td>162557.729305</td>\n",
       "      <td>125952.270695</td>\n",
       "      <td>3.890925</td>\n",
       "      <td>11.602703</td>\n",
       "      <td>85.511364</td>\n",
       "      <td>-14.488636</td>\n",
       "      <td>-2.586918e+08</td>\n",
       "      <td>67.373223</td>\n",
       "      <td>1001.330818</td>\n",
       "      <td>168996695</td>\n",
       "      <td>5625.682978</td>\n",
       "      <td>0.981157</td>\n",
       "      <td>43.686094</td>\n",
       "      <td>5665.465030</td>\n",
       "      <td>0.665184</td>\n",
       "      <td>137.397194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1413</th>\n",
       "      <td>2024-02-27</td>\n",
       "      <td>159000</td>\n",
       "      <td>160000</td>\n",
       "      <td>153300</td>\n",
       "      <td>153800</td>\n",
       "      <td>6107954</td>\n",
       "      <td>-0.049444</td>\n",
       "      <td>156500.0</td>\n",
       "      <td>0.982748</td>\n",
       "      <td>145145.0</td>\n",
       "      <td>1.059630</td>\n",
       "      <td>138816.666667</td>\n",
       "      <td>1.107936</td>\n",
       "      <td>131149.166667</td>\n",
       "      <td>1.172710</td>\n",
       "      <td>163486.589353</td>\n",
       "      <td>126803.410647</td>\n",
       "      <td>3.725645</td>\n",
       "      <td>13.054052</td>\n",
       "      <td>62.464183</td>\n",
       "      <td>-37.535817</td>\n",
       "      <td>-5.429805e+08</td>\n",
       "      <td>53.732416</td>\n",
       "      <td>1001.330818</td>\n",
       "      <td>162888741</td>\n",
       "      <td>5913.114680</td>\n",
       "      <td>1.845902</td>\n",
       "      <td>43.235799</td>\n",
       "      <td>5447.415964</td>\n",
       "      <td>0.696354</td>\n",
       "      <td>39.162887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1414</th>\n",
       "      <td>2024-02-28</td>\n",
       "      <td>154500</td>\n",
       "      <td>159200</td>\n",
       "      <td>153800</td>\n",
       "      <td>158000</td>\n",
       "      <td>3666960</td>\n",
       "      <td>0.027308</td>\n",
       "      <td>158300.0</td>\n",
       "      <td>0.998105</td>\n",
       "      <td>146295.0</td>\n",
       "      <td>1.080010</td>\n",
       "      <td>139276.666667</td>\n",
       "      <td>1.134433</td>\n",
       "      <td>131470.833333</td>\n",
       "      <td>1.201787</td>\n",
       "      <td>164831.178139</td>\n",
       "      <td>127758.821861</td>\n",
       "      <td>3.772965</td>\n",
       "      <td>9.948879</td>\n",
       "      <td>71.656051</td>\n",
       "      <td>-28.343949</td>\n",
       "      <td>-2.208914e+07</td>\n",
       "      <td>62.428862</td>\n",
       "      <td>1028.675353</td>\n",
       "      <td>166555701</td>\n",
       "      <td>5861.803212</td>\n",
       "      <td>1.970742</td>\n",
       "      <td>42.830533</td>\n",
       "      <td>5549.543721</td>\n",
       "      <td>0.714098</td>\n",
       "      <td>45.496480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1415</th>\n",
       "      <td>2024-02-29</td>\n",
       "      <td>154900</td>\n",
       "      <td>158400</td>\n",
       "      <td>154500</td>\n",
       "      <td>156200</td>\n",
       "      <td>3386307</td>\n",
       "      <td>-0.011392</td>\n",
       "      <td>158240.0</td>\n",
       "      <td>0.987108</td>\n",
       "      <td>147260.0</td>\n",
       "      <td>1.060709</td>\n",
       "      <td>139648.333333</td>\n",
       "      <td>1.118524</td>\n",
       "      <td>131757.500000</td>\n",
       "      <td>1.185511</td>\n",
       "      <td>165748.742521</td>\n",
       "      <td>128771.257479</td>\n",
       "      <td>3.669903</td>\n",
       "      <td>6.868262</td>\n",
       "      <td>63.103448</td>\n",
       "      <td>-36.896552</td>\n",
       "      <td>-5.758486e+06</td>\n",
       "      <td>54.918070</td>\n",
       "      <td>1016.956266</td>\n",
       "      <td>163169394</td>\n",
       "      <td>5665.622891</td>\n",
       "      <td>2.237545</td>\n",
       "      <td>42.465795</td>\n",
       "      <td>5422.725938</td>\n",
       "      <td>0.710764</td>\n",
       "      <td>28.512182</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1416 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date    Open    High     Low   Close   Volume    Change       5MA  \\\n",
       "0    2018-06-01   90800   92200   89600   91400  4790644 -0.021413       NaN   \n",
       "1    2018-06-04   91000   92400   89700   89800  3141036 -0.017505       NaN   \n",
       "2    2018-06-05   89800   91300   89800   91000  2758383  0.013363       NaN   \n",
       "3    2018-06-07   92700   92700   90600   90900  2754947 -0.001099       NaN   \n",
       "4    2018-06-08   91000   91000   87600   88400  4579508 -0.027503   90300.0   \n",
       "...         ...     ...     ...     ...     ...      ...       ...       ...   \n",
       "1411 2024-02-23  166900  166900  159800  161400  7012032  0.031310  153560.0   \n",
       "1412 2024-02-26  158400  164800  158400  161800  4329477  0.002478  155660.0   \n",
       "1413 2024-02-27  159000  160000  153300  153800  6107954 -0.049444  156500.0   \n",
       "1414 2024-02-28  154500  159200  153800  158000  3666960  0.027308  158300.0   \n",
       "1415 2024-02-29  154900  158400  154500  156200  3386307 -0.011392  158240.0   \n",
       "\n",
       "      5Disparity      20MA  20Disparity           60MA  60Disparity  \\\n",
       "0            NaN       NaN          NaN            NaN          NaN   \n",
       "1            NaN       NaN          NaN            NaN          NaN   \n",
       "2            NaN       NaN          NaN            NaN          NaN   \n",
       "3            NaN       NaN          NaN            NaN          NaN   \n",
       "4       0.978959       NaN          NaN            NaN          NaN   \n",
       "...          ...       ...          ...            ...          ...   \n",
       "1411    1.051055  143035.0     1.128395  137925.000000     1.170201   \n",
       "1412    1.039445  144255.0     1.121625  138443.333333     1.168709   \n",
       "1413    0.982748  145145.0     1.059630  138816.666667     1.107936   \n",
       "1414    0.998105  146295.0     1.080010  139276.666667     1.134433   \n",
       "1415    0.987108  147260.0     1.060709  139648.333333     1.118524   \n",
       "\n",
       "              120MA  120Disparity       bol_high        bol_low       PPO  \\\n",
       "0               NaN           NaN            NaN            NaN  0.000000   \n",
       "1               NaN           NaN            NaN            NaN -0.139826   \n",
       "2               NaN           NaN            NaN            NaN -0.142946   \n",
       "3               NaN           NaN            NaN            NaN -0.152522   \n",
       "4               NaN           NaN            NaN            NaN -0.377715   \n",
       "...             ...           ...            ...            ...       ...   \n",
       "1411  130473.333333      1.237034  159674.384003  126395.615997  3.497168   \n",
       "1412  130855.833333      1.236475  162557.729305  125952.270695  3.890925   \n",
       "1413  131149.166667      1.172710  163486.589353  126803.410647  3.725645   \n",
       "1414  131470.833333      1.201787  164831.178139  127758.821861  3.772965   \n",
       "1415  131757.500000      1.185511  165748.742521  128771.257479  3.669903   \n",
       "\n",
       "            PVO         SO  Williams_R           EOM        MFI          NVI  \\\n",
       "0      0.000000  69.230769  -30.769231  0.000000e+00  50.000000  1000.000000   \n",
       "1     -2.818765   7.142857  -92.857143  1.289384e+07   0.000000   982.494530   \n",
       "2     -5.825487  50.000000  -50.000000 -2.718984e+07  46.775164   995.623632   \n",
       "3     -8.292262  41.935484  -58.064516  8.384916e+07  63.811695   994.529540   \n",
       "4     -6.662330  15.686275  -84.313725 -1.744729e+08  42.033834   994.529540   \n",
       "...         ...        ...         ...           ...        ...          ...   \n",
       "1411  13.383683  84.375000  -15.625000  8.910399e+08  77.433132   998.855340   \n",
       "1412  11.602703  85.511364  -14.488636 -2.586918e+08  67.373223  1001.330818   \n",
       "1413  13.054052  62.464183  -37.535817 -5.429805e+08  53.732416  1001.330818   \n",
       "1414   9.948879  71.656051  -28.343949 -2.208914e+07  62.428862  1028.675353   \n",
       "1415   6.868262  63.103448  -36.896552 -5.758486e+06  54.918070  1016.956266   \n",
       "\n",
       "            OBV          ATR        UI        ADX         MACD      TRIX  \\\n",
       "0       4790644     0.000000       NaN   0.000000     0.000000 -6.407454   \n",
       "1       1649608     0.000000       NaN   0.000000  -127.635328 -0.010522   \n",
       "2       4407991     0.000000       NaN   0.000000  -130.453487 -0.017937   \n",
       "3       1653044     0.000000       NaN   0.000000  -139.152004 -0.023556   \n",
       "4      -2926464     0.000000       NaN   0.000000  -343.811504 -0.044010   \n",
       "...         ...          ...       ...        ...          ...       ...   \n",
       "1411  164667218  5539.647754  0.981157  41.052712  5046.822711  0.589921   \n",
       "1412  168996695  5625.682978  0.981157  43.686094  5665.465030  0.665184   \n",
       "1413  162888741  5913.114680  1.845902  43.235799  5447.415964  0.696354   \n",
       "1414  166555701  5861.803212  1.970742  42.830533  5549.543721  0.714098   \n",
       "1415  163169394  5665.622891  2.237545  42.465795  5422.725938  0.710764   \n",
       "\n",
       "             CCI  \n",
       "0       0.000000  \n",
       "1     -66.666667  \n",
       "2     -37.500000  \n",
       "3     105.882353  \n",
       "4    -166.666667  \n",
       "...          ...  \n",
       "1411  237.608133  \n",
       "1412  137.397194  \n",
       "1413   39.162887  \n",
       "1414   45.496480  \n",
       "1415   28.512182  \n",
       "\n",
       "[1416 rows x 31 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TA library\n",
    "\n",
    "window = 10\n",
    "\n",
    "for stock in portfolio :\n",
    "    H, L, C, V = stock['High'], stock['Low'], stock['Close'], stock['Volume']\n",
    "    \n",
    "    # Overlay\n",
    "    stock.loc[:,'bol_high'] = ta.volatility.bollinger_hband(C)\n",
    "    stock.loc[:, 'bol_low']  = ta.volatility.bollinger_lband(C)\n",
    "    \n",
    "    # Indicators\n",
    "    \n",
    "    ### momentum\n",
    "    stock.loc[:, 'PPO'] = ta.momentum.ppo(close = C, window_slow = 26, window_fast = 12, window_sign = 9, fillna = True)\n",
    "    stock.loc[:, 'PVO'] = ta.momentum.pvo(volume = V, window_slow = 26, window_fast = 12, window_sign = 9, fillna = True)\n",
    "    stock.loc[:, 'SO'] = ta.momentum.stoch(high = H, low = L, close = C, window = 14, smooth_window = 3, fillna = True)\n",
    "    stock.loc[:, 'Williams_R'] = ta.momentum.williams_r(high = H, low = L, close = C, lbp = 14, fillna = True)\n",
    "    \n",
    "    ### volume\n",
    "    stock.loc[:, 'EOM'] = ta.volume.ease_of_movement(high = H, low = L, volume = V, window = window, fillna = True)\n",
    "    stock.loc[:, 'MFI'] = ta.volume.money_flow_index(high = H, low = L, close = C, volume = V, window = window, fillna = True)\n",
    "    stock.loc[:, 'NVI'] = ta.volume.negative_volume_index(close = C, volume = V, fillna = True)\n",
    "    stock.loc[:, 'OBV'] = ta.volume.on_balance_volume(close = C, volume = V, fillna = True)\n",
    "    \n",
    "    ### volatility\n",
    "    stock.loc[:, 'ATR'] = ta.volatility.average_true_range(high = H, low = L, close = C, window = window, fillna = True)\n",
    "    stock.loc[:, 'UI'] = ta.volatility.ulcer_index(close = C, window = window, fillna = False)\n",
    "    \n",
    "    ### trend\n",
    "    stock.loc[:, 'ADX'] = ta.trend.adx(high = H, low = L, close = C, window = window, fillna = True)\n",
    "    stock.loc[:, 'MACD'] = ta.trend.macd(close = C, fillna = True)\n",
    "    stock.loc[:, 'TRIX'] = ta.trend.trix(close = C, window = window, fillna = True)\n",
    "    stock.loc[:, 'CCI'] = ta.trend.cci(high = H, low = L, close = C, window = window, fillna = True)\n",
    "    \n",
    "portfolio[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ca5677b9",
   "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>Volume</th>\n",
       "      <th>Change</th>\n",
       "      <th>5MA</th>\n",
       "      <th>5Disparity</th>\n",
       "      <th>20MA</th>\n",
       "      <th>20Disparity</th>\n",
       "      <th>60MA</th>\n",
       "      <th>60Disparity</th>\n",
       "      <th>120MA</th>\n",
       "      <th>120Disparity</th>\n",
       "      <th>bol_high</th>\n",
       "      <th>bol_low</th>\n",
       "      <th>PPO</th>\n",
       "      <th>PVO</th>\n",
       "      <th>SO</th>\n",
       "      <th>Williams_R</th>\n",
       "      <th>EOM</th>\n",
       "      <th>MFI</th>\n",
       "      <th>NVI</th>\n",
       "      <th>OBV</th>\n",
       "      <th>ATR</th>\n",
       "      <th>UI</th>\n",
       "      <th>ADX</th>\n",
       "      <th>MACD</th>\n",
       "      <th>TRIX</th>\n",
       "      <th>CCI</th>\n",
       "      <th>RMI</th>\n",
       "      <th>VHF</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-06-01</td>\n",
       "      <td>90800</td>\n",
       "      <td>92200</td>\n",
       "      <td>89600</td>\n",
       "      <td>91400</td>\n",
       "      <td>4790644</td>\n",
       "      <td>-0.021413</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>69.230769</td>\n",
       "      <td>-30.769231</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>1000.000000</td>\n",
       "      <td>4790644</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-6.407454</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-06-04</td>\n",
       "      <td>91000</td>\n",
       "      <td>92400</td>\n",
       "      <td>89700</td>\n",
       "      <td>89800</td>\n",
       "      <td>3141036</td>\n",
       "      <td>-0.017505</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.139826</td>\n",
       "      <td>-2.818765</td>\n",
       "      <td>7.142857</td>\n",
       "      <td>-92.857143</td>\n",
       "      <td>1.289384e+07</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>982.494530</td>\n",
       "      <td>1649608</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-127.635328</td>\n",
       "      <td>-0.010522</td>\n",
       "      <td>-66.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-06-05</td>\n",
       "      <td>89800</td>\n",
       "      <td>91300</td>\n",
       "      <td>89800</td>\n",
       "      <td>91000</td>\n",
       "      <td>2758383</td>\n",
       "      <td>0.013363</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.142946</td>\n",
       "      <td>-5.825487</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>-50.000000</td>\n",
       "      <td>-2.718984e+07</td>\n",
       "      <td>46.775164</td>\n",
       "      <td>995.623632</td>\n",
       "      <td>4407991</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-130.453487</td>\n",
       "      <td>-0.017937</td>\n",
       "      <td>-37.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-06-07</td>\n",
       "      <td>92700</td>\n",
       "      <td>92700</td>\n",
       "      <td>90600</td>\n",
       "      <td>90900</td>\n",
       "      <td>2754947</td>\n",
       "      <td>-0.001099</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.152522</td>\n",
       "      <td>-8.292262</td>\n",
       "      <td>41.935484</td>\n",
       "      <td>-58.064516</td>\n",
       "      <td>8.384916e+07</td>\n",
       "      <td>63.811695</td>\n",
       "      <td>994.529540</td>\n",
       "      <td>1653044</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-139.152004</td>\n",
       "      <td>-0.023556</td>\n",
       "      <td>105.882353</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-06-08</td>\n",
       "      <td>91000</td>\n",
       "      <td>91000</td>\n",
       "      <td>87600</td>\n",
       "      <td>88400</td>\n",
       "      <td>4579508</td>\n",
       "      <td>-0.027503</td>\n",
       "      <td>90300.0</td>\n",
       "      <td>0.978959</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.377715</td>\n",
       "      <td>-6.662330</td>\n",
       "      <td>15.686275</td>\n",
       "      <td>-84.313725</td>\n",
       "      <td>-1.744729e+08</td>\n",
       "      <td>42.033834</td>\n",
       "      <td>994.529540</td>\n",
       "      <td>-2926464</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-343.811504</td>\n",
       "      <td>-0.044010</td>\n",
       "      <td>-166.666667</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <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>1411</th>\n",
       "      <td>2024-02-23</td>\n",
       "      <td>166900</td>\n",
       "      <td>166900</td>\n",
       "      <td>159800</td>\n",
       "      <td>161400</td>\n",
       "      <td>7012032</td>\n",
       "      <td>0.031310</td>\n",
       "      <td>153560.0</td>\n",
       "      <td>1.051055</td>\n",
       "      <td>143035.0</td>\n",
       "      <td>1.128395</td>\n",
       "      <td>137925.000000</td>\n",
       "      <td>1.170201</td>\n",
       "      <td>130473.333333</td>\n",
       "      <td>1.237034</td>\n",
       "      <td>159674.384003</td>\n",
       "      <td>126395.615997</td>\n",
       "      <td>3.497168</td>\n",
       "      <td>13.383683</td>\n",
       "      <td>84.375000</td>\n",
       "      <td>-15.625000</td>\n",
       "      <td>8.910399e+08</td>\n",
       "      <td>77.433132</td>\n",
       "      <td>998.855340</td>\n",
       "      <td>164667218</td>\n",
       "      <td>5539.647754</td>\n",
       "      <td>0.981157</td>\n",
       "      <td>41.052712</td>\n",
       "      <td>5046.822711</td>\n",
       "      <td>0.589921</td>\n",
       "      <td>237.608133</td>\n",
       "      <td>99.056604</td>\n",
       "      <td>0.843023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1412</th>\n",
       "      <td>2024-02-26</td>\n",
       "      <td>158400</td>\n",
       "      <td>164800</td>\n",
       "      <td>158400</td>\n",
       "      <td>161800</td>\n",
       "      <td>4329477</td>\n",
       "      <td>0.002478</td>\n",
       "      <td>155660.0</td>\n",
       "      <td>1.039445</td>\n",
       "      <td>144255.0</td>\n",
       "      <td>1.121625</td>\n",
       "      <td>138443.333333</td>\n",
       "      <td>1.168709</td>\n",
       "      <td>130855.833333</td>\n",
       "      <td>1.236475</td>\n",
       "      <td>162557.729305</td>\n",
       "      <td>125952.270695</td>\n",
       "      <td>3.890925</td>\n",
       "      <td>11.602703</td>\n",
       "      <td>85.511364</td>\n",
       "      <td>-14.488636</td>\n",
       "      <td>-2.586918e+08</td>\n",
       "      <td>67.373223</td>\n",
       "      <td>1001.330818</td>\n",
       "      <td>168996695</td>\n",
       "      <td>5625.682978</td>\n",
       "      <td>0.981157</td>\n",
       "      <td>43.686094</td>\n",
       "      <td>5665.465030</td>\n",
       "      <td>0.665184</td>\n",
       "      <td>137.397194</td>\n",
       "      <td>99.114260</td>\n",
       "      <td>0.733333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1413</th>\n",
       "      <td>2024-02-27</td>\n",
       "      <td>159000</td>\n",
       "      <td>160000</td>\n",
       "      <td>153300</td>\n",
       "      <td>153800</td>\n",
       "      <td>6107954</td>\n",
       "      <td>-0.049444</td>\n",
       "      <td>156500.0</td>\n",
       "      <td>0.982748</td>\n",
       "      <td>145145.0</td>\n",
       "      <td>1.059630</td>\n",
       "      <td>138816.666667</td>\n",
       "      <td>1.107936</td>\n",
       "      <td>131149.166667</td>\n",
       "      <td>1.172710</td>\n",
       "      <td>163486.589353</td>\n",
       "      <td>126803.410647</td>\n",
       "      <td>3.725645</td>\n",
       "      <td>13.054052</td>\n",
       "      <td>62.464183</td>\n",
       "      <td>-37.535817</td>\n",
       "      <td>-5.429805e+08</td>\n",
       "      <td>53.732416</td>\n",
       "      <td>1001.330818</td>\n",
       "      <td>162888741</td>\n",
       "      <td>5913.114680</td>\n",
       "      <td>1.845902</td>\n",
       "      <td>43.235799</td>\n",
       "      <td>5447.415964</td>\n",
       "      <td>0.696354</td>\n",
       "      <td>39.162887</td>\n",
       "      <td>98.980632</td>\n",
       "      <td>0.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1414</th>\n",
       "      <td>2024-02-28</td>\n",
       "      <td>154500</td>\n",
       "      <td>159200</td>\n",
       "      <td>153800</td>\n",
       "      <td>158000</td>\n",
       "      <td>3666960</td>\n",
       "      <td>0.027308</td>\n",
       "      <td>158300.0</td>\n",
       "      <td>0.998105</td>\n",
       "      <td>146295.0</td>\n",
       "      <td>1.080010</td>\n",
       "      <td>139276.666667</td>\n",
       "      <td>1.134433</td>\n",
       "      <td>131470.833333</td>\n",
       "      <td>1.201787</td>\n",
       "      <td>164831.178139</td>\n",
       "      <td>127758.821861</td>\n",
       "      <td>3.772965</td>\n",
       "      <td>9.948879</td>\n",
       "      <td>71.656051</td>\n",
       "      <td>-28.343949</td>\n",
       "      <td>-2.208914e+07</td>\n",
       "      <td>62.428862</td>\n",
       "      <td>1028.675353</td>\n",
       "      <td>166555701</td>\n",
       "      <td>5861.803212</td>\n",
       "      <td>1.970742</td>\n",
       "      <td>42.830533</td>\n",
       "      <td>5549.543721</td>\n",
       "      <td>0.714098</td>\n",
       "      <td>45.496480</td>\n",
       "      <td>98.921251</td>\n",
       "      <td>0.629080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1415</th>\n",
       "      <td>2024-02-29</td>\n",
       "      <td>154900</td>\n",
       "      <td>158400</td>\n",
       "      <td>154500</td>\n",
       "      <td>156200</td>\n",
       "      <td>3386307</td>\n",
       "      <td>-0.011392</td>\n",
       "      <td>158240.0</td>\n",
       "      <td>0.987108</td>\n",
       "      <td>147260.0</td>\n",
       "      <td>1.060709</td>\n",
       "      <td>139648.333333</td>\n",
       "      <td>1.118524</td>\n",
       "      <td>131757.500000</td>\n",
       "      <td>1.185511</td>\n",
       "      <td>165748.742521</td>\n",
       "      <td>128771.257479</td>\n",
       "      <td>3.669903</td>\n",
       "      <td>6.868262</td>\n",
       "      <td>63.103448</td>\n",
       "      <td>-36.896552</td>\n",
       "      <td>-5.758486e+06</td>\n",
       "      <td>54.918070</td>\n",
       "      <td>1016.956266</td>\n",
       "      <td>163169394</td>\n",
       "      <td>5665.622891</td>\n",
       "      <td>2.237545</td>\n",
       "      <td>42.465795</td>\n",
       "      <td>5422.725938</td>\n",
       "      <td>0.710764</td>\n",
       "      <td>28.512182</td>\n",
       "      <td>98.802395</td>\n",
       "      <td>0.597183</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1416 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Date    Open    High     Low   Close   Volume    Change       5MA  \\\n",
       "0    2018-06-01   90800   92200   89600   91400  4790644 -0.021413       NaN   \n",
       "1    2018-06-04   91000   92400   89700   89800  3141036 -0.017505       NaN   \n",
       "2    2018-06-05   89800   91300   89800   91000  2758383  0.013363       NaN   \n",
       "3    2018-06-07   92700   92700   90600   90900  2754947 -0.001099       NaN   \n",
       "4    2018-06-08   91000   91000   87600   88400  4579508 -0.027503   90300.0   \n",
       "...         ...     ...     ...     ...     ...      ...       ...       ...   \n",
       "1411 2024-02-23  166900  166900  159800  161400  7012032  0.031310  153560.0   \n",
       "1412 2024-02-26  158400  164800  158400  161800  4329477  0.002478  155660.0   \n",
       "1413 2024-02-27  159000  160000  153300  153800  6107954 -0.049444  156500.0   \n",
       "1414 2024-02-28  154500  159200  153800  158000  3666960  0.027308  158300.0   \n",
       "1415 2024-02-29  154900  158400  154500  156200  3386307 -0.011392  158240.0   \n",
       "\n",
       "      5Disparity      20MA  20Disparity           60MA  60Disparity  \\\n",
       "0            NaN       NaN          NaN            NaN          NaN   \n",
       "1            NaN       NaN          NaN            NaN          NaN   \n",
       "2            NaN       NaN          NaN            NaN          NaN   \n",
       "3            NaN       NaN          NaN            NaN          NaN   \n",
       "4       0.978959       NaN          NaN            NaN          NaN   \n",
       "...          ...       ...          ...            ...          ...   \n",
       "1411    1.051055  143035.0     1.128395  137925.000000     1.170201   \n",
       "1412    1.039445  144255.0     1.121625  138443.333333     1.168709   \n",
       "1413    0.982748  145145.0     1.059630  138816.666667     1.107936   \n",
       "1414    0.998105  146295.0     1.080010  139276.666667     1.134433   \n",
       "1415    0.987108  147260.0     1.060709  139648.333333     1.118524   \n",
       "\n",
       "              120MA  120Disparity       bol_high        bol_low       PPO  \\\n",
       "0               NaN           NaN            NaN            NaN  0.000000   \n",
       "1               NaN           NaN            NaN            NaN -0.139826   \n",
       "2               NaN           NaN            NaN            NaN -0.142946   \n",
       "3               NaN           NaN            NaN            NaN -0.152522   \n",
       "4               NaN           NaN            NaN            NaN -0.377715   \n",
       "...             ...           ...            ...            ...       ...   \n",
       "1411  130473.333333      1.237034  159674.384003  126395.615997  3.497168   \n",
       "1412  130855.833333      1.236475  162557.729305  125952.270695  3.890925   \n",
       "1413  131149.166667      1.172710  163486.589353  126803.410647  3.725645   \n",
       "1414  131470.833333      1.201787  164831.178139  127758.821861  3.772965   \n",
       "1415  131757.500000      1.185511  165748.742521  128771.257479  3.669903   \n",
       "\n",
       "            PVO         SO  Williams_R           EOM        MFI          NVI  \\\n",
       "0      0.000000  69.230769  -30.769231  0.000000e+00  50.000000  1000.000000   \n",
       "1     -2.818765   7.142857  -92.857143  1.289384e+07   0.000000   982.494530   \n",
       "2     -5.825487  50.000000  -50.000000 -2.718984e+07  46.775164   995.623632   \n",
       "3     -8.292262  41.935484  -58.064516  8.384916e+07  63.811695   994.529540   \n",
       "4     -6.662330  15.686275  -84.313725 -1.744729e+08  42.033834   994.529540   \n",
       "...         ...        ...         ...           ...        ...          ...   \n",
       "1411  13.383683  84.375000  -15.625000  8.910399e+08  77.433132   998.855340   \n",
       "1412  11.602703  85.511364  -14.488636 -2.586918e+08  67.373223  1001.330818   \n",
       "1413  13.054052  62.464183  -37.535817 -5.429805e+08  53.732416  1001.330818   \n",
       "1414   9.948879  71.656051  -28.343949 -2.208914e+07  62.428862  1028.675353   \n",
       "1415   6.868262  63.103448  -36.896552 -5.758486e+06  54.918070  1016.956266   \n",
       "\n",
       "            OBV          ATR        UI        ADX         MACD      TRIX  \\\n",
       "0       4790644     0.000000       NaN   0.000000     0.000000 -6.407454   \n",
       "1       1649608     0.000000       NaN   0.000000  -127.635328 -0.010522   \n",
       "2       4407991     0.000000       NaN   0.000000  -130.453487 -0.017937   \n",
       "3       1653044     0.000000       NaN   0.000000  -139.152004 -0.023556   \n",
       "4      -2926464     0.000000       NaN   0.000000  -343.811504 -0.044010   \n",
       "...         ...          ...       ...        ...          ...       ...   \n",
       "1411  164667218  5539.647754  0.981157  41.052712  5046.822711  0.589921   \n",
       "1412  168996695  5625.682978  0.981157  43.686094  5665.465030  0.665184   \n",
       "1413  162888741  5913.114680  1.845902  43.235799  5447.415964  0.696354   \n",
       "1414  166555701  5861.803212  1.970742  42.830533  5549.543721  0.714098   \n",
       "1415  163169394  5665.622891  2.237545  42.465795  5422.725938  0.710764   \n",
       "\n",
       "             CCI        RMI       VHF  \n",
       "0       0.000000        NaN       NaN  \n",
       "1     -66.666667        NaN       NaN  \n",
       "2     -37.500000        NaN       NaN  \n",
       "3     105.882353        NaN       NaN  \n",
       "4    -166.666667        NaN       NaN  \n",
       "...          ...        ...       ...  \n",
       "1411  237.608133  99.056604  0.843023  \n",
       "1412  137.397194  99.114260  0.733333  \n",
       "1413   39.162887  98.980632  0.714286  \n",
       "1414   45.496480  98.921251  0.629080  \n",
       "1415   28.512182  98.802395  0.597183  \n",
       "\n",
       "[1416 rows x 33 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# RMI\n",
    "def calculate_rmi(df, period):\n",
    "    delta = df[\"Close\"].diff(6)\n",
    "    delta = delta.dropna()\n",
    "    up, down = delta.copy(), delta.copy()\n",
    "    up[up < 0] = 0\n",
    "    down[down > 0] = 0\n",
    "    \n",
    "    AVG_Gain = up.rolling(window = period).mean()\n",
    "    AVG_Loss = abs(down.rolling(window = period).mean())\n",
    "    RM = AVG_Gain / AVG_Loss\n",
    "    \n",
    "    df[\"RMI\"] = 100.0 - (100.0 / (1.0 + RM))\n",
    "    \n",
    "    return df\n",
    "\n",
    "# VHF\n",
    "def calculate_vhf(df, period):\n",
    "    df['highest'] = df['High'].rolling(window=period).max()\n",
    "    df['lowest'] = df['Low'].rolling(window=period).min()\n",
    "    df['abs_diff'] = abs(df['highest'] - df['lowest'])\n",
    "    df['abs_close_diff'] = abs(df['Close'] - df['Close'].shift(1)).rolling(window=period).sum()\n",
    "    df['VHF'] = df['abs_diff'] / df['abs_close_diff']\n",
    "    df.drop(['highest', 'lowest', 'abs_diff', 'abs_close_diff'], axis=1, inplace=True)\n",
    "    \n",
    "    return df\n",
    "\n",
    "for stock in portfolio :\n",
    "    calculate_rmi(stock, 10)\n",
    "    calculate_vhf(stock, 10)\n",
    "\n",
    "portfolio[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fec570f5",
   "metadata": {},
   "source": [
    "## Trading Trend & Shorts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "c663582a",
   "metadata": {},
   "outputs": [],
   "source": [
    "tt1 = pd.read_csv(\"trading_trend_SK.csv\")\n",
    "tt2 = pd.read_csv(\"trading_trend_KB.csv\")\n",
    "tt3 = pd.read_csv(\"trading_trend_CT.csv\")\n",
    "tt4 = pd.read_csv(\"trading_trend_SM.csv\")\n",
    "tt5 = pd.read_csv(\"trading_trend_NC.csv\")\n",
    "\n",
    "sh1 = pd.read_csv(\"short_SK.csv\")\n",
    "sh2 = pd.read_csv(\"short_KB.csv\")\n",
    "sh3 = pd.read_csv(\"short_CT.csv\")\n",
    "sh4 = pd.read_csv(\"short_SM.csv\")\n",
    "sh5 = pd.read_csv(\"short_NC.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c1237db4",
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Change</th>\n",
       "      <th>5MA</th>\n",
       "      <th>5Disparity</th>\n",
       "      <th>20MA</th>\n",
       "      <th>20Disparity</th>\n",
       "      <th>60MA</th>\n",
       "      <th>60Disparity</th>\n",
       "      <th>120MA</th>\n",
       "      <th>120Disparity</th>\n",
       "      <th>bol_high</th>\n",
       "      <th>bol_low</th>\n",
       "      <th>PPO</th>\n",
       "      <th>PVO</th>\n",
       "      <th>SO</th>\n",
       "      <th>Williams_R</th>\n",
       "      <th>EOM</th>\n",
       "      <th>MFI</th>\n",
       "      <th>NVI</th>\n",
       "      <th>OBV</th>\n",
       "      <th>ATR</th>\n",
       "      <th>UI</th>\n",
       "      <th>ADX</th>\n",
       "      <th>MACD</th>\n",
       "      <th>TRIX</th>\n",
       "      <th>CCI</th>\n",
       "      <th>RMI</th>\n",
       "      <th>VHF</th>\n",
       "      <th>Institutional_trading</th>\n",
       "      <th>Individual_trading</th>\n",
       "      <th>Foreign_trading</th>\n",
       "      <th>Short_volume</th>\n",
       "      <th>Short_left</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2019-01-02</th>\n",
       "      <td>61300</td>\n",
       "      <td>61400</td>\n",
       "      <td>60000</td>\n",
       "      <td>60600</td>\n",
       "      <td>1934295</td>\n",
       "      <td>0.001653</td>\n",
       "      <td>60640.0</td>\n",
       "      <td>0.999340</td>\n",
       "      <td>63490.0</td>\n",
       "      <td>0.954481</td>\n",
       "      <td>67818.333333</td>\n",
       "      <td>0.893564</td>\n",
       "      <td>74242.500000</td>\n",
       "      <td>0.816244</td>\n",
       "      <td>70342.123758</td>\n",
       "      <td>56637.876242</td>\n",
       "      <td>-3.745153</td>\n",
       "      <td>-7.402762</td>\n",
       "      <td>29.411765</td>\n",
       "      <td>-70.588235</td>\n",
       "      <td>-5.066445e+07</td>\n",
       "      <td>31.147954</td>\n",
       "      <td>1327.026312</td>\n",
       "      <td>-51793453</td>\n",
       "      <td>1852.667058</td>\n",
       "      <td>8.659060</td>\n",
       "      <td>34.775740</td>\n",
       "      <td>-2398.314386</td>\n",
       "      <td>-0.685143</td>\n",
       "      <td>14.159292</td>\n",
       "      <td>8.206687</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>-5544</td>\n",
       "      <td>-308177</td>\n",
       "      <td>313993</td>\n",
       "      <td>283672</td>\n",
       "      <td>1355760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-03</th>\n",
       "      <td>60200</td>\n",
       "      <td>60300</td>\n",
       "      <td>57500</td>\n",
       "      <td>57700</td>\n",
       "      <td>3337621</td>\n",
       "      <td>-0.047855</td>\n",
       "      <td>60100.0</td>\n",
       "      <td>0.960067</td>\n",
       "      <td>62850.0</td>\n",
       "      <td>0.918059</td>\n",
       "      <td>67608.333333</td>\n",
       "      <td>0.853445</td>\n",
       "      <td>74012.500000</td>\n",
       "      <td>0.779598</td>\n",
       "      <td>69345.382976</td>\n",
       "      <td>56354.617024</td>\n",
       "      <td>-3.987714</td>\n",
       "      <td>-5.422567</td>\n",
       "      <td>2.247191</td>\n",
       "      <td>-97.752809</td>\n",
       "      <td>-1.510058e+08</td>\n",
       "      <td>30.454198</td>\n",
       "      <td>1327.026312</td>\n",
       "      <td>-55131074</td>\n",
       "      <td>1977.400352</td>\n",
       "      <td>8.323187</td>\n",
       "      <td>35.672992</td>\n",
       "      <td>-2534.924679</td>\n",
       "      <td>-0.677795</td>\n",
       "      <td>-142.450142</td>\n",
       "      <td>8.823529</td>\n",
       "      <td>0.424779</td>\n",
       "      <td>-134388</td>\n",
       "      <td>473844</td>\n",
       "      <td>-330857</td>\n",
       "      <td>472084</td>\n",
       "      <td>1579206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-04</th>\n",
       "      <td>57500</td>\n",
       "      <td>58500</td>\n",
       "      <td>56700</td>\n",
       "      <td>58300</td>\n",
       "      <td>3388087</td>\n",
       "      <td>0.010399</td>\n",
       "      <td>59740.0</td>\n",
       "      <td>0.975896</td>\n",
       "      <td>62315.0</td>\n",
       "      <td>0.935569</td>\n",
       "      <td>67393.333333</td>\n",
       "      <td>0.865071</td>\n",
       "      <td>73768.333333</td>\n",
       "      <td>0.790312</td>\n",
       "      <td>68448.604161</td>\n",
       "      <td>56181.395839</td>\n",
       "      <td>-4.060274</td>\n",
       "      <td>-3.690663</td>\n",
       "      <td>16.494845</td>\n",
       "      <td>-83.505155</td>\n",
       "      <td>-6.906552e+07</td>\n",
       "      <td>30.350929</td>\n",
       "      <td>1327.026312</td>\n",
       "      <td>-51742987</td>\n",
       "      <td>1959.660317</td>\n",
       "      <td>7.829902</td>\n",
       "      <td>36.946191</td>\n",
       "      <td>-2565.204257</td>\n",
       "      <td>-0.673406</td>\n",
       "      <td>-141.335227</td>\n",
       "      <td>9.540636</td>\n",
       "      <td>0.518519</td>\n",
       "      <td>214278</td>\n",
       "      <td>-337039</td>\n",
       "      <td>138713</td>\n",
       "      <td>114527</td>\n",
       "      <td>1432217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-07</th>\n",
       "      <td>59000</td>\n",
       "      <td>59700</td>\n",
       "      <td>58400</td>\n",
       "      <td>58700</td>\n",
       "      <td>2273750</td>\n",
       "      <td>0.006861</td>\n",
       "      <td>59160.0</td>\n",
       "      <td>0.992224</td>\n",
       "      <td>61840.0</td>\n",
       "      <td>0.949224</td>\n",
       "      <td>67200.000000</td>\n",
       "      <td>0.873512</td>\n",
       "      <td>73530.000000</td>\n",
       "      <td>0.798314</td>\n",
       "      <td>67532.591677</td>\n",
       "      <td>56147.408323</td>\n",
       "      <td>-4.022165</td>\n",
       "      <td>-5.314633</td>\n",
       "      <td>23.255814</td>\n",
       "      <td>-76.744186</td>\n",
       "      <td>8.290269e+07</td>\n",
       "      <td>39.536221</td>\n",
       "      <td>1336.131124</td>\n",
       "      <td>-49469237</td>\n",
       "      <td>1903.694285</td>\n",
       "      <td>7.352235</td>\n",
       "      <td>36.292747</td>\n",
       "      <td>-2527.785644</td>\n",
       "      <td>-0.663587</td>\n",
       "      <td>-51.194539</td>\n",
       "      <td>10.756972</td>\n",
       "      <td>0.538462</td>\n",
       "      <td>124196</td>\n",
       "      <td>-7434</td>\n",
       "      <td>-132886</td>\n",
       "      <td>203543</td>\n",
       "      <td>1326974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019-01-08</th>\n",
       "      <td>57900</td>\n",
       "      <td>60500</td>\n",
       "      <td>57600</td>\n",
       "      <td>59200</td>\n",
       "      <td>3062192</td>\n",
       "      <td>0.008518</td>\n",
       "      <td>58900.0</td>\n",
       "      <td>1.005093</td>\n",
       "      <td>61500.0</td>\n",
       "      <td>0.962602</td>\n",
       "      <td>67036.666667</td>\n",
       "      <td>0.883099</td>\n",
       "      <td>73300.000000</td>\n",
       "      <td>0.807640</td>\n",
       "      <td>66965.894254</td>\n",
       "      <td>56034.105746</td>\n",
       "      <td>-3.882902</td>\n",
       "      <td>-4.382460</td>\n",
       "      <td>43.103448</td>\n",
       "      <td>-56.896552</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>53.294872</td>\n",
       "      <td>1336.131124</td>\n",
       "      <td>-46407045</td>\n",
       "      <td>2003.324856</td>\n",
       "      <td>6.364327</td>\n",
       "      <td>35.704647</td>\n",
       "      <td>-2429.776353</td>\n",
       "      <td>-0.643131</td>\n",
       "      <td>-44.365362</td>\n",
       "      <td>13.567839</td>\n",
       "      <td>0.608696</td>\n",
       "      <td>188124</td>\n",
       "      <td>-547042</td>\n",
       "      <td>364414</td>\n",
       "      <td>211532</td>\n",
       "      <td>1400451</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",
       "      <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",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-23</th>\n",
       "      <td>166900</td>\n",
       "      <td>166900</td>\n",
       "      <td>159800</td>\n",
       "      <td>161400</td>\n",
       "      <td>7012032</td>\n",
       "      <td>0.031310</td>\n",
       "      <td>153560.0</td>\n",
       "      <td>1.051055</td>\n",
       "      <td>143035.0</td>\n",
       "      <td>1.128395</td>\n",
       "      <td>137925.000000</td>\n",
       "      <td>1.170201</td>\n",
       "      <td>130473.333333</td>\n",
       "      <td>1.237034</td>\n",
       "      <td>159674.384003</td>\n",
       "      <td>126395.615997</td>\n",
       "      <td>3.497168</td>\n",
       "      <td>13.383683</td>\n",
       "      <td>84.375000</td>\n",
       "      <td>-15.625000</td>\n",
       "      <td>8.910399e+08</td>\n",
       "      <td>77.433132</td>\n",
       "      <td>998.855340</td>\n",
       "      <td>164667218</td>\n",
       "      <td>5539.647754</td>\n",
       "      <td>0.981157</td>\n",
       "      <td>41.052712</td>\n",
       "      <td>5046.822711</td>\n",
       "      <td>0.589921</td>\n",
       "      <td>237.608133</td>\n",
       "      <td>99.056604</td>\n",
       "      <td>0.843023</td>\n",
       "      <td>-878150</td>\n",
       "      <td>-433618</td>\n",
       "      <td>1313620</td>\n",
       "      <td>70639</td>\n",
       "      <td>1572988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-26</th>\n",
       "      <td>158400</td>\n",
       "      <td>164800</td>\n",
       "      <td>158400</td>\n",
       "      <td>161800</td>\n",
       "      <td>4329477</td>\n",
       "      <td>0.002478</td>\n",
       "      <td>155660.0</td>\n",
       "      <td>1.039445</td>\n",
       "      <td>144255.0</td>\n",
       "      <td>1.121625</td>\n",
       "      <td>138443.333333</td>\n",
       "      <td>1.168709</td>\n",
       "      <td>130855.833333</td>\n",
       "      <td>1.236475</td>\n",
       "      <td>162557.729305</td>\n",
       "      <td>125952.270695</td>\n",
       "      <td>3.890925</td>\n",
       "      <td>11.602703</td>\n",
       "      <td>85.511364</td>\n",
       "      <td>-14.488636</td>\n",
       "      <td>-2.586918e+08</td>\n",
       "      <td>67.373223</td>\n",
       "      <td>1001.330818</td>\n",
       "      <td>168996695</td>\n",
       "      <td>5625.682978</td>\n",
       "      <td>0.981157</td>\n",
       "      <td>43.686094</td>\n",
       "      <td>5665.465030</td>\n",
       "      <td>0.665184</td>\n",
       "      <td>137.397194</td>\n",
       "      <td>99.114260</td>\n",
       "      <td>0.733333</td>\n",
       "      <td>-213925</td>\n",
       "      <td>85427</td>\n",
       "      <td>-7913</td>\n",
       "      <td>15348</td>\n",
       "      <td>1427733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-27</th>\n",
       "      <td>159000</td>\n",
       "      <td>160000</td>\n",
       "      <td>153300</td>\n",
       "      <td>153800</td>\n",
       "      <td>6107954</td>\n",
       "      <td>-0.049444</td>\n",
       "      <td>156500.0</td>\n",
       "      <td>0.982748</td>\n",
       "      <td>145145.0</td>\n",
       "      <td>1.059630</td>\n",
       "      <td>138816.666667</td>\n",
       "      <td>1.107936</td>\n",
       "      <td>131149.166667</td>\n",
       "      <td>1.172710</td>\n",
       "      <td>163486.589353</td>\n",
       "      <td>126803.410647</td>\n",
       "      <td>3.725645</td>\n",
       "      <td>13.054052</td>\n",
       "      <td>62.464183</td>\n",
       "      <td>-37.535817</td>\n",
       "      <td>-5.429805e+08</td>\n",
       "      <td>53.732416</td>\n",
       "      <td>1001.330818</td>\n",
       "      <td>162888741</td>\n",
       "      <td>5913.114680</td>\n",
       "      <td>1.845902</td>\n",
       "      <td>43.235799</td>\n",
       "      <td>5447.415964</td>\n",
       "      <td>0.696354</td>\n",
       "      <td>39.162887</td>\n",
       "      <td>98.980632</td>\n",
       "      <td>0.714286</td>\n",
       "      <td>-489686</td>\n",
       "      <td>759964</td>\n",
       "      <td>-283206</td>\n",
       "      <td>2523</td>\n",
       "      <td>1422572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-28</th>\n",
       "      <td>154500</td>\n",
       "      <td>159200</td>\n",
       "      <td>153800</td>\n",
       "      <td>158000</td>\n",
       "      <td>3666960</td>\n",
       "      <td>0.027308</td>\n",
       "      <td>158300.0</td>\n",
       "      <td>0.998105</td>\n",
       "      <td>146295.0</td>\n",
       "      <td>1.080010</td>\n",
       "      <td>139276.666667</td>\n",
       "      <td>1.134433</td>\n",
       "      <td>131470.833333</td>\n",
       "      <td>1.201787</td>\n",
       "      <td>164831.178139</td>\n",
       "      <td>127758.821861</td>\n",
       "      <td>3.772965</td>\n",
       "      <td>9.948879</td>\n",
       "      <td>71.656051</td>\n",
       "      <td>-28.343949</td>\n",
       "      <td>-2.208914e+07</td>\n",
       "      <td>62.428862</td>\n",
       "      <td>1028.675353</td>\n",
       "      <td>166555701</td>\n",
       "      <td>5861.803212</td>\n",
       "      <td>1.970742</td>\n",
       "      <td>42.830533</td>\n",
       "      <td>5549.543721</td>\n",
       "      <td>0.714098</td>\n",
       "      <td>45.496480</td>\n",
       "      <td>98.921251</td>\n",
       "      <td>0.629080</td>\n",
       "      <td>-561186</td>\n",
       "      <td>-225817</td>\n",
       "      <td>670074</td>\n",
       "      <td>51212</td>\n",
       "      <td>1469505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2024-02-29</th>\n",
       "      <td>154900</td>\n",
       "      <td>158400</td>\n",
       "      <td>154500</td>\n",
       "      <td>156200</td>\n",
       "      <td>3386307</td>\n",
       "      <td>-0.011392</td>\n",
       "      <td>158240.0</td>\n",
       "      <td>0.987108</td>\n",
       "      <td>147260.0</td>\n",
       "      <td>1.060709</td>\n",
       "      <td>139648.333333</td>\n",
       "      <td>1.118524</td>\n",
       "      <td>131757.500000</td>\n",
       "      <td>1.185511</td>\n",
       "      <td>165748.742521</td>\n",
       "      <td>128771.257479</td>\n",
       "      <td>3.669903</td>\n",
       "      <td>6.868262</td>\n",
       "      <td>63.103448</td>\n",
       "      <td>-36.896552</td>\n",
       "      <td>-5.758486e+06</td>\n",
       "      <td>54.918070</td>\n",
       "      <td>1016.956266</td>\n",
       "      <td>163169394</td>\n",
       "      <td>5665.622891</td>\n",
       "      <td>2.237545</td>\n",
       "      <td>42.465795</td>\n",
       "      <td>5422.725938</td>\n",
       "      <td>0.710764</td>\n",
       "      <td>28.512182</td>\n",
       "      <td>98.802395</td>\n",
       "      <td>0.597183</td>\n",
       "      <td>-337884</td>\n",
       "      <td>38606</td>\n",
       "      <td>252235</td>\n",
       "      <td>21446</td>\n",
       "      <td>1472555</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1274 rows × 37 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              Open    High     Low   Close   Volume    Change       5MA  \\\n",
       "Date                                                                      \n",
       "2019-01-02   61300   61400   60000   60600  1934295  0.001653   60640.0   \n",
       "2019-01-03   60200   60300   57500   57700  3337621 -0.047855   60100.0   \n",
       "2019-01-04   57500   58500   56700   58300  3388087  0.010399   59740.0   \n",
       "2019-01-07   59000   59700   58400   58700  2273750  0.006861   59160.0   \n",
       "2019-01-08   57900   60500   57600   59200  3062192  0.008518   58900.0   \n",
       "...            ...     ...     ...     ...      ...       ...       ...   \n",
       "2024-02-23  166900  166900  159800  161400  7012032  0.031310  153560.0   \n",
       "2024-02-26  158400  164800  158400  161800  4329477  0.002478  155660.0   \n",
       "2024-02-27  159000  160000  153300  153800  6107954 -0.049444  156500.0   \n",
       "2024-02-28  154500  159200  153800  158000  3666960  0.027308  158300.0   \n",
       "2024-02-29  154900  158400  154500  156200  3386307 -0.011392  158240.0   \n",
       "\n",
       "            5Disparity      20MA  20Disparity           60MA  60Disparity  \\\n",
       "Date                                                                        \n",
       "2019-01-02    0.999340   63490.0     0.954481   67818.333333     0.893564   \n",
       "2019-01-03    0.960067   62850.0     0.918059   67608.333333     0.853445   \n",
       "2019-01-04    0.975896   62315.0     0.935569   67393.333333     0.865071   \n",
       "2019-01-07    0.992224   61840.0     0.949224   67200.000000     0.873512   \n",
       "2019-01-08    1.005093   61500.0     0.962602   67036.666667     0.883099   \n",
       "...                ...       ...          ...            ...          ...   \n",
       "2024-02-23    1.051055  143035.0     1.128395  137925.000000     1.170201   \n",
       "2024-02-26    1.039445  144255.0     1.121625  138443.333333     1.168709   \n",
       "2024-02-27    0.982748  145145.0     1.059630  138816.666667     1.107936   \n",
       "2024-02-28    0.998105  146295.0     1.080010  139276.666667     1.134433   \n",
       "2024-02-29    0.987108  147260.0     1.060709  139648.333333     1.118524   \n",
       "\n",
       "                    120MA  120Disparity       bol_high        bol_low  \\\n",
       "Date                                                                    \n",
       "2019-01-02   74242.500000      0.816244   70342.123758   56637.876242   \n",
       "2019-01-03   74012.500000      0.779598   69345.382976   56354.617024   \n",
       "2019-01-04   73768.333333      0.790312   68448.604161   56181.395839   \n",
       "2019-01-07   73530.000000      0.798314   67532.591677   56147.408323   \n",
       "2019-01-08   73300.000000      0.807640   66965.894254   56034.105746   \n",
       "...                   ...           ...            ...            ...   \n",
       "2024-02-23  130473.333333      1.237034  159674.384003  126395.615997   \n",
       "2024-02-26  130855.833333      1.236475  162557.729305  125952.270695   \n",
       "2024-02-27  131149.166667      1.172710  163486.589353  126803.410647   \n",
       "2024-02-28  131470.833333      1.201787  164831.178139  127758.821861   \n",
       "2024-02-29  131757.500000      1.185511  165748.742521  128771.257479   \n",
       "\n",
       "                 PPO        PVO         SO  Williams_R           EOM  \\\n",
       "Date                                                                   \n",
       "2019-01-02 -3.745153  -7.402762  29.411765  -70.588235 -5.066445e+07   \n",
       "2019-01-03 -3.987714  -5.422567   2.247191  -97.752809 -1.510058e+08   \n",
       "2019-01-04 -4.060274  -3.690663  16.494845  -83.505155 -6.906552e+07   \n",
       "2019-01-07 -4.022165  -5.314633  23.255814  -76.744186  8.290269e+07   \n",
       "2019-01-08 -3.882902  -4.382460  43.103448  -56.896552  0.000000e+00   \n",
       "...              ...        ...        ...         ...           ...   \n",
       "2024-02-23  3.497168  13.383683  84.375000  -15.625000  8.910399e+08   \n",
       "2024-02-26  3.890925  11.602703  85.511364  -14.488636 -2.586918e+08   \n",
       "2024-02-27  3.725645  13.054052  62.464183  -37.535817 -5.429805e+08   \n",
       "2024-02-28  3.772965   9.948879  71.656051  -28.343949 -2.208914e+07   \n",
       "2024-02-29  3.669903   6.868262  63.103448  -36.896552 -5.758486e+06   \n",
       "\n",
       "                  MFI          NVI        OBV          ATR        UI  \\\n",
       "Date                                                                   \n",
       "2019-01-02  31.147954  1327.026312  -51793453  1852.667058  8.659060   \n",
       "2019-01-03  30.454198  1327.026312  -55131074  1977.400352  8.323187   \n",
       "2019-01-04  30.350929  1327.026312  -51742987  1959.660317  7.829902   \n",
       "2019-01-07  39.536221  1336.131124  -49469237  1903.694285  7.352235   \n",
       "2019-01-08  53.294872  1336.131124  -46407045  2003.324856  6.364327   \n",
       "...               ...          ...        ...          ...       ...   \n",
       "2024-02-23  77.433132   998.855340  164667218  5539.647754  0.981157   \n",
       "2024-02-26  67.373223  1001.330818  168996695  5625.682978  0.981157   \n",
       "2024-02-27  53.732416  1001.330818  162888741  5913.114680  1.845902   \n",
       "2024-02-28  62.428862  1028.675353  166555701  5861.803212  1.970742   \n",
       "2024-02-29  54.918070  1016.956266  163169394  5665.622891  2.237545   \n",
       "\n",
       "                  ADX         MACD      TRIX         CCI        RMI       VHF  \\\n",
       "Date                                                                            \n",
       "2019-01-02  34.775740 -2398.314386 -0.685143   14.159292   8.206687  0.500000   \n",
       "2019-01-03  35.672992 -2534.924679 -0.677795 -142.450142   8.823529  0.424779   \n",
       "2019-01-04  36.946191 -2565.204257 -0.673406 -141.335227   9.540636  0.518519   \n",
       "2019-01-07  36.292747 -2527.785644 -0.663587  -51.194539  10.756972  0.538462   \n",
       "2019-01-08  35.704647 -2429.776353 -0.643131  -44.365362  13.567839  0.608696   \n",
       "...               ...          ...       ...         ...        ...       ...   \n",
       "2024-02-23  41.052712  5046.822711  0.589921  237.608133  99.056604  0.843023   \n",
       "2024-02-26  43.686094  5665.465030  0.665184  137.397194  99.114260  0.733333   \n",
       "2024-02-27  43.235799  5447.415964  0.696354   39.162887  98.980632  0.714286   \n",
       "2024-02-28  42.830533  5549.543721  0.714098   45.496480  98.921251  0.629080   \n",
       "2024-02-29  42.465795  5422.725938  0.710764   28.512182  98.802395  0.597183   \n",
       "\n",
       "            Institutional_trading  Individual_trading  Foreign_trading  \\\n",
       "Date                                                                     \n",
       "2019-01-02                  -5544             -308177           313993   \n",
       "2019-01-03                -134388              473844          -330857   \n",
       "2019-01-04                 214278             -337039           138713   \n",
       "2019-01-07                 124196               -7434          -132886   \n",
       "2019-01-08                 188124             -547042           364414   \n",
       "...                           ...                 ...              ...   \n",
       "2024-02-23                -878150             -433618          1313620   \n",
       "2024-02-26                -213925               85427            -7913   \n",
       "2024-02-27                -489686              759964          -283206   \n",
       "2024-02-28                -561186             -225817           670074   \n",
       "2024-02-29                -337884               38606           252235   \n",
       "\n",
       "            Short_volume  Short_left  \n",
       "Date                                  \n",
       "2019-01-02        283672     1355760  \n",
       "2019-01-03        472084     1579206  \n",
       "2019-01-04        114527     1432217  \n",
       "2019-01-07        203543     1326974  \n",
       "2019-01-08        211532     1400451  \n",
       "...                  ...         ...  \n",
       "2024-02-23         70639     1572988  \n",
       "2024-02-26         15348     1427733  \n",
       "2024-02-27          2523     1422572  \n",
       "2024-02-28         51212     1469505  \n",
       "2024-02-29         21446     1472555  \n",
       "\n",
       "[1274 rows x 37 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new = []\n",
    "tt = [tt1, tt2, tt3, tt4, tt5]\n",
    "sh = [sh1, sh2, sh3, sh4, sh5]\n",
    "\n",
    "for i in range(5) :\n",
    "    portfolio[i].index = portfolio[i][\"Date\"]\n",
    "    portfolio[i].index = pd.to_datetime(portfolio[i].index).strftime('%Y-%m-%d')\n",
    "    portfolio[i] = portfolio[i].loc['2019-01-02':, :].drop(\"Date\", axis = 1)\n",
    "    \n",
    "    tt[i].index = tt[i][\"Date\"]\n",
    "    tt[i] = tt[i].drop(\"Date\", axis = 1)\n",
    "    sh[i].index = sh[i][\"Date\"]\n",
    "    sh[i] = sh[i].drop(\"Date\", axis = 1)\n",
    "    \n",
    "    portfolio[i] = portfolio[i].merge(tt[i], left_index = True, right_index = True)\n",
    "    portfolio[i] = portfolio[i].merge(sh[i], left_index = True, right_index = True)\n",
    "    new.append(portfolio[i])\n",
    "    \n",
    "portfolio = new\n",
    "portfolio[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "41353756",
   "metadata": {},
   "source": [
    "## Check Missing Values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "50a340fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===============sk하이닉스===============\n",
      "Open                     0\n",
      "High                     0\n",
      "Low                      0\n",
      "Close                    0\n",
      "Volume                   0\n",
      "Change                   0\n",
      "5MA                      0\n",
      "5Disparity               0\n",
      "20MA                     0\n",
      "20Disparity              0\n",
      "60MA                     0\n",
      "60Disparity              0\n",
      "120MA                    0\n",
      "120Disparity             0\n",
      "bol_high                 0\n",
      "bol_low                  0\n",
      "PPO                      0\n",
      "PVO                      0\n",
      "SO                       0\n",
      "Williams_R               0\n",
      "EOM                      0\n",
      "MFI                      0\n",
      "NVI                      0\n",
      "OBV                      0\n",
      "ATR                      0\n",
      "UI                       0\n",
      "ADX                      0\n",
      "MACD                     0\n",
      "TRIX                     0\n",
      "CCI                      0\n",
      "RMI                      0\n",
      "VHF                      0\n",
      "Institutional_trading    0\n",
      "Individual_trading       0\n",
      "Foreign_trading          0\n",
      "Short_volume             0\n",
      "Short_left               0\n",
      "dtype: int64\n",
      "===============KB금융===============\n",
      "Open                     0\n",
      "High                     0\n",
      "Low                      0\n",
      "Close                    0\n",
      "Volume                   0\n",
      "Change                   0\n",
      "5MA                      0\n",
      "5Disparity               0\n",
      "20MA                     0\n",
      "20Disparity              0\n",
      "60MA                     0\n",
      "60Disparity              0\n",
      "120MA                    0\n",
      "120Disparity             0\n",
      "bol_high                 0\n",
      "bol_low                  0\n",
      "PPO                      0\n",
      "PVO                      0\n",
      "SO                       0\n",
      "Williams_R               0\n",
      "EOM                      0\n",
      "MFI                      0\n",
      "NVI                      0\n",
      "OBV                      0\n",
      "ATR                      0\n",
      "UI                       0\n",
      "ADX                      0\n",
      "MACD                     0\n",
      "TRIX                     0\n",
      "CCI                      0\n",
      "RMI                      0\n",
      "VHF                      0\n",
      "Institutional_trading    0\n",
      "Individual_trading       0\n",
      "Foreign_trading          0\n",
      "Short_volume             0\n",
      "Shrot_left               0\n",
      "dtype: int64\n",
      "===============셀트리온===============\n",
      "Open                     0\n",
      "High                     0\n",
      "Low                      0\n",
      "Close                    0\n",
      "Volume                   0\n",
      "Change                   0\n",
      "5MA                      0\n",
      "5Disparity               0\n",
      "20MA                     0\n",
      "20Disparity              0\n",
      "60MA                     0\n",
      "60Disparity              0\n",
      "120MA                    0\n",
      "120Disparity             0\n",
      "bol_high                 0\n",
      "bol_low                  0\n",
      "PPO                      0\n",
      "PVO                      0\n",
      "SO                       0\n",
      "Williams_R               0\n",
      "EOM                      0\n",
      "MFI                      0\n",
      "NVI                      0\n",
      "OBV                      0\n",
      "ATR                      0\n",
      "UI                       0\n",
      "ADX                      0\n",
      "MACD                     0\n",
      "TRIX                     0\n",
      "CCI                      0\n",
      "RMI                      0\n",
      "VHF                      0\n",
      "Institutional_trading    0\n",
      "Individual_trading       0\n",
      "Foreign_trading          0\n",
      "Short_volume             0\n",
      "Short_left               0\n",
      "dtype: int64\n",
      "===============에스엠===============\n",
      "Open                     0\n",
      "High                     0\n",
      "Low                      0\n",
      "Close                    0\n",
      "Volume                   0\n",
      "Change                   0\n",
      "5MA                      0\n",
      "5Disparity               0\n",
      "20MA                     0\n",
      "20Disparity              0\n",
      "60MA                     0\n",
      "60Disparity              0\n",
      "120MA                    0\n",
      "120Disparity             0\n",
      "bol_high                 0\n",
      "bol_low                  0\n",
      "PPO                      0\n",
      "PVO                      0\n",
      "SO                       0\n",
      "Williams_R               0\n",
      "EOM                      0\n",
      "MFI                      0\n",
      "NVI                      0\n",
      "OBV                      0\n",
      "ATR                      0\n",
      "UI                       0\n",
      "ADX                      0\n",
      "MACD                     0\n",
      "TRIX                     0\n",
      "CCI                      0\n",
      "RMI                      0\n",
      "VHF                      0\n",
      "Institutional_trading    0\n",
      "Individual_trading       0\n",
      "Foreign_trading          0\n",
      "Short_volume             0\n",
      "Short_left               0\n",
      "dtype: int64\n",
      "===============엔씨소프트===============\n",
      "Open                     0\n",
      "High                     0\n",
      "Low                      0\n",
      "Close                    0\n",
      "Volume                   0\n",
      "Change                   0\n",
      "5MA                      0\n",
      "5Disparity               0\n",
      "20MA                     0\n",
      "20Disparity              0\n",
      "60MA                     0\n",
      "60Disparity              0\n",
      "120MA                    0\n",
      "120Disparity             0\n",
      "bol_high                 0\n",
      "bol_low                  0\n",
      "PPO                      0\n",
      "PVO                      0\n",
      "SO                       0\n",
      "Williams_R               0\n",
      "EOM                      0\n",
      "MFI                      0\n",
      "NVI                      0\n",
      "OBV                      0\n",
      "ATR                      0\n",
      "UI                       0\n",
      "ADX                      0\n",
      "MACD                     0\n",
      "TRIX                     0\n",
      "CCI                      0\n",
      "RMI                      0\n",
      "VHF                      0\n",
      "Institutional_trading    0\n",
      "Individual_trading       0\n",
      "Foreign_trading          0\n",
      "Short_volume             0\n",
      "Short_left               0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "stock = [\"sk하이닉스\", \"KB금융\", \"셀트리온\", \"에스엠\", \"엔씨소프트\"]\n",
    "for i in range(5) : \n",
    "    print(f'==============={stock[i]}===============')\n",
    "    print(portfolio[i].isnull().sum())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13199082",
   "metadata": {},
   "source": [
    "## Save"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "61097bc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "stock = ['sk', 'kb', 'ct', 'sm', 'nc']\n",
    "\n",
    "for i in range(5) :\n",
    "    portfolio[i].to_csv(\"stock_\"+ stock[i] + \".csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22dff7ee",
   "metadata": {},
   "source": [
    "## heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6782b47c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x2000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sk하이닉스\n",
    "plt.figure(figsize=(20, 20))\n",
    "\n",
    "sns.heatmap(\n",
    "    portfolio[0].select_dtypes(include=['float64', 'int']).corr(),\n",
    "    annot=True,\n",
    "    cmap='coolwarm',\n",
    "    linewidths=1,\n",
    "    linecolor='white',\n",
    "    square=True,\n",
    "    fmt=\".2f\",\n",
    ")\n",
    "\n",
    "plt.title('Correlation heatmap')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "ade3ed56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# sk하이닉스\n",
    "fig, ax = plt.subplots(figsize=(15, 10))\n",
    "portfolio[0][[\"Close\", \"5MA\", \"120MA\", \"bol_high\", \"bol_low\"]].plot(ax = ax, color = [\"red\", \"gray\", \"lightgray\", \"darkgray\", \"darkgray\"])\n",
    "ax.fill_between(portfolio[0].index, portfolio[0]['bol_low'], portfolio[0]['bol_high'], color = 'lightgray', alpha = 0.3)\n",
    "plt.grid()\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b2d8c9cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (20, 10))\n",
    "portfolio[0][\"Change\"].plot(color = 'gray')\n",
    "plt.grid()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "sol",
   "language": "python",
   "name": "sol"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}