Portfolio_Optimization.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "920cf5fb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   Left Sector Right Sector  Predicted  Actual    Weight\n",
      "0           건설           보험     0.0003  0.0015  0.500000\n",
      "1           건설          자동차     0.0005  0.0014  0.500000\n",
      "2        경기소비재          반도체     0.0012  0.0004  0.200000\n",
      "3        경기소비재           보험     0.0020  0.0015  0.200000\n",
      "4        경기소비재           은행     0.0001  0.0039  0.200000\n",
      "5        경기소비재          자동차     0.0007  0.0014  0.200000\n",
      "6        경기소비재         헬스케어     0.0006  0.0004  0.200000\n",
      "7         기계장비         정보기술     0.0001  0.0009  0.500000\n",
      "8         기계장비         헬스케어     0.0015  0.0004  0.500000\n",
      "9          반도체          자동차     0.0008  0.0014  0.333333\n",
      "10         반도체         정보기술     0.0001  0.0009  0.333333\n",
      "11         반도체         헬스케어     0.0004  0.0004  0.333333\n",
      "12        방송통신          반도체     0.0008  0.0004  0.500000\n",
      "13        방송통신           보험     0.0005  0.0015  0.500000\n",
      "14          보험          반도체     0.0006  0.0004  0.166667\n",
      "15          보험           보험     0.0005  0.0015  0.166667\n",
      "16          보험           은행     0.0017  0.0039  0.166667\n",
      "17          보험          자동차     0.0015  0.0014  0.166667\n",
      "18          보험         정보기술     0.0002  0.0009  0.166667\n",
      "19          보험         헬스케어     0.0017  0.0004  0.166667\n",
      "20       에너지화학         기계장비     0.0012 -0.0026  1.000000\n",
      "21          은행           보험     0.0011  0.0015  0.500000\n",
      "22          은행          자동차     0.0017  0.0014  0.500000\n",
      "23         자동차          반도체     0.0009  0.0004  0.500000\n",
      "24         자동차         정보기술     0.0001  0.0009  0.500000\n",
      "25        정보기술          반도체     0.0011  0.0004  0.500000\n",
      "26        정보기술         헬스케어     0.0004  0.0004  0.500000\n",
      "27          증권           보험     0.0003  0.0015  0.250000\n",
      "28          증권           은행     0.0003  0.0039  0.250000\n",
      "29          증권         정보기술     0.0010  0.0009  0.250000\n",
      "30          증권           철강     0.0002 -0.0026  0.250000\n",
      "31        헬스케어          반도체     0.0023  0.0004  0.500000\n",
      "32        헬스케어          자동차     0.0008  0.0014  0.500000\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Load the final combined data\n",
    "file_path = 'combined_optimal_combinations_final.csv'\n",
    "final_data = pd.read_csv(file_path)\n",
    "\n",
    "# Filter for positive predicted returns\n",
    "positive_returns_data = final_data[final_data['Predicted'] > 0]\n",
    "\n",
    "# Initialize a dictionary to store individual portfolios\n",
    "portfolios = {}\n",
    "\n",
    "# Iterate over each sector in 'Left Sector' and create equal-weight portfolios\n",
    "for sector, group in positive_returns_data.groupby('Left Sector'):\n",
    "    # Add a new column 'Weight' with equal weights\n",
    "    group['Weight'] = 1 / len(group)\n",
    "    # Save the portfolio data for this sector\n",
    "    portfolios[sector] = group\n",
    "\n",
    "# Combine all sector portfolios into a single DataFrame\n",
    "portfolio_data = pd.concat(portfolios.values(), ignore_index=True)\n",
    "\n",
    "# Print the result for verification\n",
    "print(portfolio_data)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6946f595",
   "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>Sector</th>\n",
       "      <th>Portfolio Return</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>건설</td>\n",
       "      <td>0.001450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>경기소비재</td>\n",
       "      <td>0.001520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>기계장비</td>\n",
       "      <td>0.000650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>반도체</td>\n",
       "      <td>0.000900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>방송통신</td>\n",
       "      <td>0.000950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>보험</td>\n",
       "      <td>0.001417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>에너지화학</td>\n",
       "      <td>-0.002600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>은행</td>\n",
       "      <td>0.001450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>자동차</td>\n",
       "      <td>0.000650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>정보기술</td>\n",
       "      <td>0.000400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>증권</td>\n",
       "      <td>0.000925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>헬스케어</td>\n",
       "      <td>0.000900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Sector  Portfolio Return\n",
       "0      건설          0.001450\n",
       "1   경기소비재          0.001520\n",
       "2    기계장비          0.000650\n",
       "3     반도체          0.000900\n",
       "4    방송통신          0.000950\n",
       "5      보험          0.001417\n",
       "6   에너지화학         -0.002600\n",
       "7      은행          0.001450\n",
       "8     자동차          0.000650\n",
       "9    정보기술          0.000400\n",
       "10     증권          0.000925\n",
       "11   헬스케어          0.000900"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculate portfolio returns based on Actual values and weights\n",
    "portfolio_performance = []\n",
    "\n",
    "for sector, group in portfolio_data.groupby('Left Sector'):\n",
    "    # Calculate the weighted return for each portfolio\n",
    "    weighted_return = (group['Weight'] * group['Actual']).sum()\n",
    "    portfolio_performance.append({'Sector': sector, 'Portfolio Return': weighted_return})\n",
    "\n",
    "# Convert to DataFrame\n",
    "performance_df = pd.DataFrame(portfolio_performance)\n",
    "\n",
    "\n",
    "performance_df\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "f60a1818",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
      "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
      "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
      "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
      "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
      "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
      "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
      "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
      "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
      "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
      "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
      "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
      "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
      "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
      "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
      "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
      "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
      "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
      "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
      "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
      "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
      "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
      "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
      "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
      "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
      "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
      "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
      "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
      "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
      "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
      "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
      "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
      "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
      "0  -0.001998  0.008353  0.022823 -0.004434  0.054634  0.001140  0.016212   \n",
      "\n",
      "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
      "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
      "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
      "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
      "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
      "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
      "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
      "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
      "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
      "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
      "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
      "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
      "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
      "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
      "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
      "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
      "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
      "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
      "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
      "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
      "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
      "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
      "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
      "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
      "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
      "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
      "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
      "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
      "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
      "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
      "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
      "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
      "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
      "0   0.020352  0.003901  0.007224  0.007339  0.018176  0.019209   \n",
      "\n",
      "                     날짜  \n",
      "32  2024-03-12 00:00:00  \n",
      "31  2024-03-13 00:00:00  \n",
      "30  2024-03-14 00:00:00  \n",
      "29  2024-03-15 00:00:00  \n",
      "28  2024-03-18 00:00:00  \n",
      "27  2024-03-19 00:00:00  \n",
      "26  2024-03-20 00:00:00  \n",
      "25  2024-03-21 00:00:00  \n",
      "24  2024-03-22 00:00:00  \n",
      "23  2024-03-25 00:00:00  \n",
      "22  2024-03-26 00:00:00  \n",
      "21  2024-03-27 00:00:00  \n",
      "20  2024-03-28 00:00:00  \n",
      "19  2024-03-29 00:00:00  \n",
      "18  2024-04-01 00:00:00  \n",
      "17  2024-04-02 00:00:00  \n",
      "16  2024-04-03 00:00:00  \n",
      "15  2024-04-04 00:00:00  \n",
      "14  2024-04-05 00:00:00  \n",
      "13  2024-04-08 00:00:00  \n",
      "12  2024-04-09 00:00:00  \n",
      "11  2024-04-11 00:00:00  \n",
      "10  2024-04-12 00:00:00  \n",
      "9   2024-04-15 00:00:00  \n",
      "8   2024-04-16 00:00:00  \n",
      "7   2024-04-17 00:00:00  \n",
      "6   2024-04-18 00:00:00  \n",
      "5   2024-04-19 00:00:00  \n",
      "4   2024-04-22 00:00:00  \n",
      "3   2024-04-23 00:00:00  \n",
      "2   2024-04-24 00:00:00  \n",
      "1   2024-04-25 00:00:00  \n",
      "0   2024-04-26 00:00:00  \n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 파일 경로\n",
    "file_path = '섹터별종가.csv'\n",
    "\n",
    "# 파일 읽기 (인코딩 문제 해결)\n",
    "data = pd.read_csv(file_path, encoding='euc-kr')\n",
    "\n",
    "# 불필요한 열 제거\n",
    "data = data.drop(columns=[col for col in data.columns if \"Unnamed\" in col], errors='ignore')\n",
    "\n",
    "# 날짜 열 이름 변경 및 날짜 형식으로 변환\n",
    "data.rename(columns={data.columns[0]: \"날짜\"}, inplace=True)\n",
    "data[\"날짜\"] = pd.to_datetime(data[\"날짜\"])\n",
    "\n",
    "# 날짜별로 정렬 (수익률 계산 정확성을 위해)\n",
    "data.sort_values(by=\"날짜\", inplace=True)\n",
    "\n",
    "# 모든 숫자 데이터를 float로 변환 (예상치 못한 데이터 형식 문제 해결)\n",
    "data.iloc[:, 1:] = data.iloc[:, 1:].apply(pd.to_numeric, errors='coerce')\n",
    "\n",
    "# 수익률 계산 (전일 대비 변화율)\n",
    "returns = data.iloc[:, 1:].pct_change()   # 퍼센트 변화율로 변환\n",
    "returns[\"날짜\"] = data[\"날짜\"]  # 날짜 열 다시 추가\n",
    "\n",
    "# 결측치가 있다면 0으로 채우기 (최종 확인용)\n",
    "returns.fillna(0, inplace=True)\n",
    "\n",
    "# 데이터 확인\n",
    "print(returns.head(33))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "8dddff26",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>-0.005600</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>-0.000800</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.002000</td>\n",
       "      <td>-0.001400</td>\n",
       "      <td>-0.001000</td>\n",
       "      <td>-0.002700</td>\n",
       "      <td>-0.001500</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0   0.000000  0.000000  0.000300 -0.005600  0.000000  0.000500 -0.000800   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0   0.000000 -0.002000 -0.001400 -0.001000 -0.002700 -0.001500   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Re-specify file paths\n",
    "returns_data_path = '섹터별종가.csv'\n",
    "construction_sector_path = '건설_sector.csv'\n",
    "\n",
    "# Reload the files\n",
    "returns_data = pd.read_csv(returns_data_path, encoding='euc-kr')\n",
    "construction_sector_data = pd.read_csv(construction_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process the returns data\n",
    "returns_data = returns_data.drop(columns=[col for col in returns_data.columns if \"Unnamed\" in col], errors='ignore')\n",
    "returns_data.rename(columns={returns_data.columns[0]: \"날짜\"}, inplace=True)\n",
    "returns_data[\"날짜\"] = pd.to_datetime(returns_data[\"날짜\"])\n",
    "returns_data.sort_values(by=\"날짜\", inplace=True)\n",
    "returns_data.iloc[:, 1:] = returns_data.iloc[:, 1:].apply(pd.to_numeric, errors='coerce')\n",
    "construction_returns = returns_data.iloc[:, 1:].pct_change() \n",
    "construction_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "construction_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace 4월 26일 data with predictions from construction_sector_data\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in construction_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]   # Scale to percentage\n",
    "    if sector in construction_returns.columns:\n",
    "        construction_returns.loc[construction_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "# Set sectors not in construction_sector_data to 0 for 4월 26일\n",
    "all_sectors = set(construction_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(construction_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    construction_returns.loc[construction_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "construction_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d00d2358",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.000200</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>0.001100</td>\n",
       "      <td>-0.001800</td>\n",
       "      <td>-0.000700</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>-0.001500</td>\n",
       "      <td>-0.003000</td>\n",
       "      <td>-0.001400</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000700</td>\n",
       "      <td>-0.001600</td>\n",
       "      <td>-0.001200</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0  -0.000200 -0.001300  0.001100 -0.001800 -0.000700  0.001700 -0.001500   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.003000 -0.001400  0.000000 -0.000700 -0.001600 -0.001200   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Re-specify file paths\n",
    "returns_data_path = '섹터별종가.csv'\n",
    "bank_sector_path = '은행_sector.csv'\n",
    "\n",
    "# Reload the files\n",
    "returns_data = pd.read_csv(returns_data_path, encoding='euc-kr')\n",
    "bank_sector_data = pd.read_csv(bank_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process the returns data\n",
    "returns_data = returns_data.drop(columns=[col for col in returns_data.columns if \"Unnamed\" in col], errors='ignore')\n",
    "returns_data.rename(columns={returns_data.columns[0]: \"날짜\"}, inplace=True)\n",
    "returns_data[\"날짜\"] = pd.to_datetime(returns_data[\"날짜\"])\n",
    "returns_data.sort_values(by=\"날짜\", inplace=True)\n",
    "returns_data.iloc[:, 1:] = returns_data.iloc[:, 1:].apply(pd.to_numeric, errors='coerce')\n",
    "bank_returns = returns_data.iloc[:, 1:].pct_change() \n",
    "bank_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "bank_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace 4월 26일 data with predictions from bank_sector_data\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in bank_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]   # Scale to percentage\n",
    "    if sector in bank_returns.columns:\n",
    "        bank_returns.loc[bank_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "# Set sectors not in bank_sector_data to 0 for 4월 26일\n",
    "all_sectors = set(bank_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(bank_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    bank_returns.loc[bank_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "bank_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a2cbe651",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000600</td>\n",
       "      <td>-0.001800</td>\n",
       "      <td>0.002000</td>\n",
       "      <td>-0.001600</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>0.000700</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001600</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000400</td>\n",
       "      <td>-0.002600</td>\n",
       "      <td>0.001200</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0   0.000600 -0.001800  0.002000 -0.001600  0.000100  0.000700  0.000000   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0   0.000000 -0.001600  0.000000 -0.000400 -0.002600  0.001200   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Re-specify file paths\n",
    "returns_data_path = '섹터별종가.csv'\n",
    "consumer_goods_sector_path = '경기소비재_sector.csv'\n",
    "\n",
    "# Reload the files\n",
    "returns_data = pd.read_csv(returns_data_path, encoding='euc-kr')\n",
    "consumer_goods_sector_data = pd.read_csv(consumer_goods_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process the returns data\n",
    "returns_data = returns_data.drop(columns=[col for col in returns_data.columns if \"Unnamed\" in col], errors='ignore')\n",
    "returns_data.rename(columns={returns_data.columns[0]: \"날짜\"}, inplace=True)\n",
    "returns_data[\"날짜\"] = pd.to_datetime(returns_data[\"날짜\"])\n",
    "returns_data.sort_values(by=\"날짜\", inplace=True)\n",
    "returns_data.iloc[:, 1:] = returns_data.iloc[:, 1:].apply(pd.to_numeric, errors='coerce')\n",
    "consumer_goods_returns = returns_data.iloc[:, 1:].pct_change() \n",
    "consumer_goods_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "consumer_goods_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace 4월 26일 data with predictions from consumer_goods_sector_data\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in consumer_goods_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]   # Scale to percentage\n",
    "    if sector in consumer_goods_returns.columns:\n",
    "        consumer_goods_returns.loc[consumer_goods_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "# Set sectors not in consumer_goods_sector_data to 0 for 4월 26일\n",
    "all_sectors = set(consumer_goods_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(consumer_goods_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    consumer_goods_returns.loc[consumer_goods_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "consumer_goods_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b7994ba2",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.000900</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.002300</td>\n",
       "      <td>-0.000900</td>\n",
       "      <td>0.000800</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001000</td>\n",
       "      <td>-0.002500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.002900</td>\n",
       "      <td>0.002300</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0  -0.000900 -0.001300  0.000000 -0.002300 -0.000900  0.000800  0.000000   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.001000 -0.002500  0.000000  0.000000 -0.002900  0.002300   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Re-specify file paths\n",
    "returns_data_path = '섹터별종가.csv'\n",
    "healthcare_sector_path = '헬스케어_sector.csv'\n",
    "\n",
    "# Reload the files\n",
    "returns_data = pd.read_csv(returns_data_path, encoding='euc-kr')\n",
    "healthcare_sector_data = pd.read_csv(healthcare_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process the returns data\n",
    "returns_data = returns_data.drop(columns=[col for col in returns_data.columns if \"Unnamed\" in col], errors='ignore')\n",
    "returns_data.rename(columns={returns_data.columns[0]: \"날짜\"}, inplace=True)\n",
    "returns_data[\"날짜\"] = pd.to_datetime(returns_data[\"날짜\"])\n",
    "returns_data.sort_values(by=\"날짜\", inplace=True)\n",
    "returns_data.iloc[:, 1:] = returns_data.iloc[:, 1:].apply(pd.to_numeric, errors='coerce')\n",
    "healthcare_returns = returns_data.iloc[:, 1:].pct_change() \n",
    "healthcare_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "healthcare_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace 4월 26일 data with predictions from healthcare_sector_data\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in healthcare_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]   # Scale to percentage\n",
    "    if sector in healthcare_returns.columns:\n",
    "        healthcare_returns.loc[healthcare_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "# Set sectors not in healthcare_sector_data to 0 for 4월 26일\n",
    "all_sectors = set(healthcare_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(healthcare_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    healthcare_returns.loc[healthcare_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "healthcare_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "ebd6369d",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.001100</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.006300</td>\n",
       "      <td>-0.000200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>-0.001200</td>\n",
       "      <td>-0.000900</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001200</td>\n",
       "      <td>-0.000800</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0  -0.001100  0.000000  0.000000 -0.006300 -0.000200  0.000000 -0.001300   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.001200 -0.000900  0.000000  0.000000  0.001200 -0.000800   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 에너지화학\n",
    "returns_data_path = '섹터별종가.csv'\n",
    "energy_chemical_sector_path = '에너지화학_sector.csv'\n",
    "\n",
    "# Reload files\n",
    "returns_data = pd.read_csv(returns_data_path, encoding='euc-kr')\n",
    "energy_chemical_sector_data = pd.read_csv(energy_chemical_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process returns data\n",
    "returns_data = returns_data.drop(columns=[col for col in returns_data.columns if \"Unnamed\" in col], errors='ignore')\n",
    "returns_data.rename(columns={returns_data.columns[0]: \"날짜\"}, inplace=True)\n",
    "returns_data[\"날짜\"] = pd.to_datetime(returns_data[\"날짜\"])\n",
    "returns_data.sort_values(by=\"날짜\", inplace=True)\n",
    "energy_chemical_returns = returns_data.iloc[:, 1:].pct_change()\n",
    "energy_chemical_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "energy_chemical_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace and adjust returns\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in energy_chemical_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]\n",
    "    if sector in energy_chemical_returns.columns:\n",
    "        energy_chemical_returns.loc[energy_chemical_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "all_sectors = set(energy_chemical_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(energy_chemical_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    energy_chemical_returns.loc[energy_chemical_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "energy_chemical_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "54aeb6d7",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.000700</td>\n",
       "      <td>-0.000500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003800</td>\n",
       "      <td>-0.000700</td>\n",
       "      <td>-0.000200</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>-0.002500</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>-0.004100</td>\n",
       "      <td>0.000900</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0  -0.000700 -0.000500  0.000000 -0.003800 -0.000700 -0.000200  0.000100   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.002500 -0.001300  0.000000 -0.001300 -0.004100  0.000900   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 자동차\n",
    "automobile_sector_path = '자동차_sector.csv'\n",
    "automobile_sector_data = pd.read_csv(automobile_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process data\n",
    "automobile_returns = returns_data.iloc[:, 1:].pct_change()\n",
    "automobile_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "automobile_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace and adjust returns\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in automobile_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]\n",
    "    if sector in automobile_returns.columns:\n",
    "        automobile_returns.loc[automobile_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "all_sectors = set(automobile_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(automobile_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    automobile_returns.loc[automobile_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "automobile_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f3457362",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000400</td>\n",
       "      <td>-0.000900</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.004600</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000500</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>-0.000300</td>\n",
       "      <td>-0.001700</td>\n",
       "      <td>-0.001200</td>\n",
       "      <td>-0.001500</td>\n",
       "      <td>0.001100</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0   0.000400 -0.000900  0.000000 -0.004600  0.000000 -0.000500 -0.001300   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.001300 -0.000300 -0.001700 -0.001200 -0.001500  0.001100   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 정보기술\n",
    "info_tech_sector_path = '정보기술_sector.csv'\n",
    "info_tech_sector_data = pd.read_csv(info_tech_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process data\n",
    "info_tech_returns = returns_data.iloc[:, 1:].pct_change()\n",
    "info_tech_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "info_tech_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace and adjust returns\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in info_tech_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]\n",
    "    if sector in info_tech_returns.columns:\n",
    "        info_tech_returns.loc[info_tech_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "all_sectors = set(info_tech_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(info_tech_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    info_tech_returns.loc[info_tech_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "info_tech_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "08323594",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.001500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000400</td>\n",
       "      <td>-0.002300</td>\n",
       "      <td>-0.001700</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>-0.002200</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>-0.003300</td>\n",
       "      <td>-0.000800</td>\n",
       "      <td>-0.002300</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0   0.001500  0.000000 -0.000400 -0.002300 -0.001700  0.000000  0.000100   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.002200 -0.001300 -0.003300 -0.000800 -0.002300  0.000000   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 기계장비\n",
    "machinery_sector_path = '기계장비_sector.csv'\n",
    "machinery_sector_data = pd.read_csv(machinery_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process data\n",
    "machinery_returns = returns_data.iloc[:, 1:].pct_change()\n",
    "machinery_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "machinery_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace and adjust returns\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in machinery_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]\n",
    "    if sector in machinery_returns.columns:\n",
    "        machinery_returns.loc[machinery_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "all_sectors = set(machinery_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(machinery_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    machinery_returns.loc[machinery_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "machinery_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "e513bc11",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000400</td>\n",
       "      <td>-0.001800</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003100</td>\n",
       "      <td>-0.001400</td>\n",
       "      <td>0.000800</td>\n",
       "      <td>0.000100</td>\n",
       "      <td>-0.000600</td>\n",
       "      <td>-0.001700</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001000</td>\n",
       "      <td>-0.002500</td>\n",
       "      <td>-0.001300</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0   0.000400 -0.001800  0.000000 -0.003100 -0.001400  0.000800  0.000100   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.000600 -0.001700  0.000000 -0.001000 -0.002500 -0.001300   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 반도체\n",
    "semiconductor_sector_path = '반도체_sector.csv'\n",
    "semiconductor_sector_data = pd.read_csv(semiconductor_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process data\n",
    "semiconductor_returns = returns_data.iloc[:, 1:].pct_change()\n",
    "semiconductor_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "semiconductor_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace and adjust returns\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in semiconductor_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]\n",
    "    if sector in semiconductor_returns.columns:\n",
    "        semiconductor_returns.loc[semiconductor_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "all_sectors = set(semiconductor_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(semiconductor_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    semiconductor_returns.loc[semiconductor_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "semiconductor_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d2c6add8",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>-0.001000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.000300</td>\n",
       "      <td>-0.000600</td>\n",
       "      <td>-0.002100</td>\n",
       "      <td>-0.000400</td>\n",
       "      <td>-0.003600</td>\n",
       "      <td>-0.000300</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000800</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0   0.000000  0.000000  0.000500 -0.001000  0.000000 -0.000300 -0.000600   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.002100 -0.000400 -0.003600 -0.000300  0.000000  0.000800   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 방송통신\n",
    "telecom_sector_path = '방송통신_sector.csv'\n",
    "telecom_sector_data = pd.read_csv(telecom_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process data\n",
    "telecom_returns = returns_data.iloc[:, 1:].pct_change()\n",
    "telecom_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "telecom_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace and adjust returns\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in telecom_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]\n",
    "    if sector in telecom_returns.columns:\n",
    "        telecom_returns.loc[telecom_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "all_sectors = set(telecom_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(telecom_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    telecom_returns.loc[telecom_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "telecom_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "89059656",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.001700</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.001700</td>\n",
       "      <td>0.001500</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>-0.000200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.002000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.001000</td>\n",
       "      <td>0.000600</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0   0.001700  0.000000  0.000500  0.000000  0.001700  0.001500  0.000200   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.000200  0.000000 -0.002000  0.000000 -0.001000  0.000600   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 보험\n",
    "insurance_sector_path = '보험_sector.csv'\n",
    "insurance_sector_data = pd.read_csv(insurance_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process data\n",
    "insurance_returns = returns_data.iloc[:, 1:].pct_change()\n",
    "insurance_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "insurance_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace and adjust returns\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in insurance_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]\n",
    "    if sector in insurance_returns.columns:\n",
    "        insurance_returns.loc[insurance_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "all_sectors = set(insurance_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(insurance_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    insurance_returns.loc[insurance_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "insurance_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7385f63e",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.000000</td>\n",
       "      <td>-0.001100</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>-0.006300</td>\n",
       "      <td>0.000300</td>\n",
       "      <td>-0.000000</td>\n",
       "      <td>0.001000</td>\n",
       "      <td>-0.002500</td>\n",
       "      <td>0.000200</td>\n",
       "      <td>-0.003400</td>\n",
       "      <td>-0.001400</td>\n",
       "      <td>-0.003700</td>\n",
       "      <td>-0.001200</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0  -0.000000 -0.001100  0.000300 -0.006300  0.000300 -0.000000  0.001000   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.002500  0.000200 -0.003400 -0.001400 -0.003700 -0.001200   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 증권\n",
    "securities_sector_path = '증권_sector.csv'\n",
    "securities_sector_data = pd.read_csv(securities_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process data\n",
    "securities_returns = returns_data.iloc[:, 1:].pct_change()\n",
    "securities_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "securities_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace 4월 26일 data with predictions from securities_sector_data\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in securities_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]\n",
    "    if sector in securities_returns.columns:\n",
    "        securities_returns.loc[securities_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "# Set sectors not in securities_sector_data to 0 for 4월 26일\n",
    "all_sectors = set(securities_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(securities_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    securities_returns.loc[securities_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "securities_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "79ee65d6",
   "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>헬스케어</th>\n",
       "      <th>방송통신</th>\n",
       "      <th>보험</th>\n",
       "      <th>에너지화학</th>\n",
       "      <th>은행</th>\n",
       "      <th>자동차</th>\n",
       "      <th>정보기술</th>\n",
       "      <th>증권</th>\n",
       "      <th>철강</th>\n",
       "      <th>건설</th>\n",
       "      <th>경기소비재</th>\n",
       "      <th>기계장비</th>\n",
       "      <th>반도체</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-03-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>-0.004628</td>\n",
       "      <td>0.007913</td>\n",
       "      <td>0.015644</td>\n",
       "      <td>-0.007768</td>\n",
       "      <td>0.032202</td>\n",
       "      <td>0.005647</td>\n",
       "      <td>-0.000372</td>\n",
       "      <td>0.038147</td>\n",
       "      <td>-0.011357</td>\n",
       "      <td>-0.010941</td>\n",
       "      <td>-0.003212</td>\n",
       "      <td>0.006513</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>2024-03-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.011897</td>\n",
       "      <td>0.022856</td>\n",
       "      <td>0.041712</td>\n",
       "      <td>0.002143</td>\n",
       "      <td>0.041778</td>\n",
       "      <td>0.021447</td>\n",
       "      <td>-0.008003</td>\n",
       "      <td>0.022037</td>\n",
       "      <td>0.001582</td>\n",
       "      <td>0.015168</td>\n",
       "      <td>0.008333</td>\n",
       "      <td>0.023444</td>\n",
       "      <td>-0.012967</td>\n",
       "      <td>2024-03-14 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-0.010327</td>\n",
       "      <td>-0.010130</td>\n",
       "      <td>-0.021196</td>\n",
       "      <td>-0.007387</td>\n",
       "      <td>-0.027348</td>\n",
       "      <td>-0.013681</td>\n",
       "      <td>-0.015513</td>\n",
       "      <td>-0.024479</td>\n",
       "      <td>-0.007857</td>\n",
       "      <td>-0.000279</td>\n",
       "      <td>-0.002497</td>\n",
       "      <td>-0.019288</td>\n",
       "      <td>-0.006497</td>\n",
       "      <td>2024-03-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.014722</td>\n",
       "      <td>-0.000105</td>\n",
       "      <td>-0.008999</td>\n",
       "      <td>0.022043</td>\n",
       "      <td>-0.015458</td>\n",
       "      <td>0.003147</td>\n",
       "      <td>0.016813</td>\n",
       "      <td>-0.002087</td>\n",
       "      <td>0.011681</td>\n",
       "      <td>0.000544</td>\n",
       "      <td>-0.004179</td>\n",
       "      <td>0.025323</td>\n",
       "      <td>0.013431</td>\n",
       "      <td>2024-03-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.005699</td>\n",
       "      <td>-0.009592</td>\n",
       "      <td>-0.018686</td>\n",
       "      <td>-0.006867</td>\n",
       "      <td>-0.016862</td>\n",
       "      <td>-0.043937</td>\n",
       "      <td>-0.006719</td>\n",
       "      <td>-0.008431</td>\n",
       "      <td>-0.009423</td>\n",
       "      <td>-0.011644</td>\n",
       "      <td>-0.001949</td>\n",
       "      <td>-0.005543</td>\n",
       "      <td>-0.014548</td>\n",
       "      <td>2024-03-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-0.006201</td>\n",
       "      <td>0.003937</td>\n",
       "      <td>0.011891</td>\n",
       "      <td>-0.006249</td>\n",
       "      <td>0.011836</td>\n",
       "      <td>-0.001550</td>\n",
       "      <td>0.007220</td>\n",
       "      <td>0.011833</td>\n",
       "      <td>-0.007122</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>0.004792</td>\n",
       "      <td>0.000319</td>\n",
       "      <td>0.013525</td>\n",
       "      <td>2024-03-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.026151</td>\n",
       "      <td>0.020136</td>\n",
       "      <td>0.034780</td>\n",
       "      <td>0.007906</td>\n",
       "      <td>0.032389</td>\n",
       "      <td>0.029989</td>\n",
       "      <td>0.034624</td>\n",
       "      <td>0.019872</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>0.009071</td>\n",
       "      <td>0.009793</td>\n",
       "      <td>0.019809</td>\n",
       "      <td>0.034479</td>\n",
       "      <td>2024-03-21 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.002199</td>\n",
       "      <td>-0.001164</td>\n",
       "      <td>-0.006028</td>\n",
       "      <td>0.002042</td>\n",
       "      <td>-0.005908</td>\n",
       "      <td>-0.014073</td>\n",
       "      <td>0.000671</td>\n",
       "      <td>-0.003684</td>\n",
       "      <td>-0.004801</td>\n",
       "      <td>-0.007277</td>\n",
       "      <td>0.002262</td>\n",
       "      <td>0.000707</td>\n",
       "      <td>-0.008201</td>\n",
       "      <td>2024-03-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.031584</td>\n",
       "      <td>-0.013597</td>\n",
       "      <td>-0.006633</td>\n",
       "      <td>0.005120</td>\n",
       "      <td>-0.015101</td>\n",
       "      <td>-0.010538</td>\n",
       "      <td>0.000968</td>\n",
       "      <td>-0.021504</td>\n",
       "      <td>0.005143</td>\n",
       "      <td>-0.014959</td>\n",
       "      <td>-0.006780</td>\n",
       "      <td>-0.000380</td>\n",
       "      <td>-0.004496</td>\n",
       "      <td>2024-03-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>-0.000215</td>\n",
       "      <td>0.010450</td>\n",
       "      <td>-0.017068</td>\n",
       "      <td>-0.005965</td>\n",
       "      <td>-0.003359</td>\n",
       "      <td>0.014435</td>\n",
       "      <td>0.015931</td>\n",
       "      <td>0.000881</td>\n",
       "      <td>-0.001973</td>\n",
       "      <td>-0.001993</td>\n",
       "      <td>0.007354</td>\n",
       "      <td>-0.001930</td>\n",
       "      <td>0.024172</td>\n",
       "      <td>2024-03-26 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-0.028636</td>\n",
       "      <td>-0.008700</td>\n",
       "      <td>-0.023458</td>\n",
       "      <td>0.005859</td>\n",
       "      <td>-0.038395</td>\n",
       "      <td>0.006276</td>\n",
       "      <td>0.014873</td>\n",
       "      <td>-0.019743</td>\n",
       "      <td>0.002487</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.000420</td>\n",
       "      <td>-0.000762</td>\n",
       "      <td>0.017863</td>\n",
       "      <td>2024-03-27 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.001513</td>\n",
       "      <td>-0.004045</td>\n",
       "      <td>-0.014900</td>\n",
       "      <td>-0.007824</td>\n",
       "      <td>0.000566</td>\n",
       "      <td>-0.019711</td>\n",
       "      <td>0.002152</td>\n",
       "      <td>-0.013336</td>\n",
       "      <td>-0.018517</td>\n",
       "      <td>0.002770</td>\n",
       "      <td>-0.005054</td>\n",
       "      <td>-0.015151</td>\n",
       "      <td>0.021001</td>\n",
       "      <td>2024-03-28 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>-0.008719</td>\n",
       "      <td>-0.009561</td>\n",
       "      <td>-0.015083</td>\n",
       "      <td>-0.009219</td>\n",
       "      <td>-0.018902</td>\n",
       "      <td>-0.015553</td>\n",
       "      <td>0.010842</td>\n",
       "      <td>-0.009461</td>\n",
       "      <td>-0.007153</td>\n",
       "      <td>-0.014037</td>\n",
       "      <td>-0.008757</td>\n",
       "      <td>-0.006668</td>\n",
       "      <td>0.016569</td>\n",
       "      <td>2024-03-29 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>-0.004662</td>\n",
       "      <td>-0.002633</td>\n",
       "      <td>-0.005506</td>\n",
       "      <td>0.008417</td>\n",
       "      <td>-0.014806</td>\n",
       "      <td>-0.008933</td>\n",
       "      <td>0.004081</td>\n",
       "      <td>-0.012894</td>\n",
       "      <td>0.003611</td>\n",
       "      <td>0.006867</td>\n",
       "      <td>0.026674</td>\n",
       "      <td>0.003412</td>\n",
       "      <td>0.008662</td>\n",
       "      <td>2024-04-01 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-0.036209</td>\n",
       "      <td>-0.011697</td>\n",
       "      <td>0.008969</td>\n",
       "      <td>-0.009829</td>\n",
       "      <td>-0.006268</td>\n",
       "      <td>-0.024964</td>\n",
       "      <td>0.007068</td>\n",
       "      <td>0.002567</td>\n",
       "      <td>-0.012330</td>\n",
       "      <td>-0.008801</td>\n",
       "      <td>-0.013017</td>\n",
       "      <td>-0.013894</td>\n",
       "      <td>0.011336</td>\n",
       "      <td>2024-04-02 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>-0.016265</td>\n",
       "      <td>-0.012572</td>\n",
       "      <td>-0.011252</td>\n",
       "      <td>-0.015579</td>\n",
       "      <td>-0.018387</td>\n",
       "      <td>-0.023859</td>\n",
       "      <td>-0.027627</td>\n",
       "      <td>-0.011171</td>\n",
       "      <td>-0.017377</td>\n",
       "      <td>0.008590</td>\n",
       "      <td>-0.012790</td>\n",
       "      <td>-0.027237</td>\n",
       "      <td>-0.020042</td>\n",
       "      <td>2024-04-03 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>-0.011110</td>\n",
       "      <td>0.006094</td>\n",
       "      <td>0.004158</td>\n",
       "      <td>0.007035</td>\n",
       "      <td>0.023045</td>\n",
       "      <td>0.030088</td>\n",
       "      <td>0.028502</td>\n",
       "      <td>0.010586</td>\n",
       "      <td>0.017166</td>\n",
       "      <td>-0.001876</td>\n",
       "      <td>-0.005728</td>\n",
       "      <td>0.013963</td>\n",
       "      <td>0.026553</td>\n",
       "      <td>2024-04-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>-0.018457</td>\n",
       "      <td>-0.009163</td>\n",
       "      <td>-0.005500</td>\n",
       "      <td>-0.002913</td>\n",
       "      <td>-0.008855</td>\n",
       "      <td>-0.003891</td>\n",
       "      <td>-0.019554</td>\n",
       "      <td>-0.001901</td>\n",
       "      <td>-0.011489</td>\n",
       "      <td>-0.000485</td>\n",
       "      <td>0.000128</td>\n",
       "      <td>-0.005979</td>\n",
       "      <td>-0.014184</td>\n",
       "      <td>2024-04-05 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.016803</td>\n",
       "      <td>0.002869</td>\n",
       "      <td>0.013129</td>\n",
       "      <td>-0.014725</td>\n",
       "      <td>0.010862</td>\n",
       "      <td>0.015989</td>\n",
       "      <td>-0.006432</td>\n",
       "      <td>0.008915</td>\n",
       "      <td>0.003739</td>\n",
       "      <td>-0.010872</td>\n",
       "      <td>-0.008165</td>\n",
       "      <td>-0.000574</td>\n",
       "      <td>-0.020525</td>\n",
       "      <td>2024-04-08 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>-0.008061</td>\n",
       "      <td>-0.001742</td>\n",
       "      <td>-0.010549</td>\n",
       "      <td>-0.003635</td>\n",
       "      <td>-0.008876</td>\n",
       "      <td>0.001309</td>\n",
       "      <td>-0.002405</td>\n",
       "      <td>-0.004950</td>\n",
       "      <td>0.014459</td>\n",
       "      <td>-0.002223</td>\n",
       "      <td>0.003621</td>\n",
       "      <td>0.008806</td>\n",
       "      <td>0.001623</td>\n",
       "      <td>2024-04-09 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>-0.010653</td>\n",
       "      <td>-0.016512</td>\n",
       "      <td>-0.026210</td>\n",
       "      <td>-0.014799</td>\n",
       "      <td>-0.008083</td>\n",
       "      <td>0.038092</td>\n",
       "      <td>0.010534</td>\n",
       "      <td>-0.026501</td>\n",
       "      <td>-0.001147</td>\n",
       "      <td>-0.009387</td>\n",
       "      <td>-0.005336</td>\n",
       "      <td>-0.002335</td>\n",
       "      <td>0.019499</td>\n",
       "      <td>2024-04-11 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.015095</td>\n",
       "      <td>-0.007460</td>\n",
       "      <td>-0.043436</td>\n",
       "      <td>-0.013322</td>\n",
       "      <td>-0.034861</td>\n",
       "      <td>-0.018733</td>\n",
       "      <td>-0.003402</td>\n",
       "      <td>-0.015358</td>\n",
       "      <td>-0.008218</td>\n",
       "      <td>-0.014005</td>\n",
       "      <td>-0.012122</td>\n",
       "      <td>0.000343</td>\n",
       "      <td>0.004654</td>\n",
       "      <td>2024-04-12 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>-0.007066</td>\n",
       "      <td>-0.004548</td>\n",
       "      <td>0.010584</td>\n",
       "      <td>-0.017325</td>\n",
       "      <td>0.003994</td>\n",
       "      <td>0.015223</td>\n",
       "      <td>-0.010967</td>\n",
       "      <td>0.006230</td>\n",
       "      <td>0.001521</td>\n",
       "      <td>0.004105</td>\n",
       "      <td>-0.009266</td>\n",
       "      <td>-0.000399</td>\n",
       "      <td>0.000221</td>\n",
       "      <td>2024-04-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>-0.023032</td>\n",
       "      <td>-0.007839</td>\n",
       "      <td>-0.016597</td>\n",
       "      <td>-0.020686</td>\n",
       "      <td>-0.023361</td>\n",
       "      <td>-0.000447</td>\n",
       "      <td>-0.034661</td>\n",
       "      <td>-0.022231</td>\n",
       "      <td>-0.019614</td>\n",
       "      <td>-0.012783</td>\n",
       "      <td>-0.005526</td>\n",
       "      <td>-0.042977</td>\n",
       "      <td>-0.038301</td>\n",
       "      <td>2024-04-16 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>-0.012335</td>\n",
       "      <td>-0.009129</td>\n",
       "      <td>-0.008037</td>\n",
       "      <td>-0.014882</td>\n",
       "      <td>-0.016730</td>\n",
       "      <td>-0.017465</td>\n",
       "      <td>-0.005676</td>\n",
       "      <td>-0.009789</td>\n",
       "      <td>-0.010584</td>\n",
       "      <td>-0.019676</td>\n",
       "      <td>0.009260</td>\n",
       "      <td>-0.006861</td>\n",
       "      <td>-0.001195</td>\n",
       "      <td>2024-04-17 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.034684</td>\n",
       "      <td>0.010632</td>\n",
       "      <td>0.005169</td>\n",
       "      <td>0.017494</td>\n",
       "      <td>0.024327</td>\n",
       "      <td>-0.005622</td>\n",
       "      <td>0.021716</td>\n",
       "      <td>0.017183</td>\n",
       "      <td>0.030064</td>\n",
       "      <td>0.024053</td>\n",
       "      <td>0.012175</td>\n",
       "      <td>0.062082</td>\n",
       "      <td>0.019435</td>\n",
       "      <td>2024-04-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>-0.010416</td>\n",
       "      <td>-0.010423</td>\n",
       "      <td>-0.004722</td>\n",
       "      <td>-0.017693</td>\n",
       "      <td>-0.007518</td>\n",
       "      <td>-0.011609</td>\n",
       "      <td>-0.029350</td>\n",
       "      <td>-0.015310</td>\n",
       "      <td>-0.006846</td>\n",
       "      <td>-0.006686</td>\n",
       "      <td>-0.013918</td>\n",
       "      <td>-0.006504</td>\n",
       "      <td>-0.036579</td>\n",
       "      <td>2024-04-19 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.027753</td>\n",
       "      <td>0.010565</td>\n",
       "      <td>0.065166</td>\n",
       "      <td>0.015936</td>\n",
       "      <td>0.064677</td>\n",
       "      <td>0.030601</td>\n",
       "      <td>-0.003757</td>\n",
       "      <td>0.052263</td>\n",
       "      <td>0.005768</td>\n",
       "      <td>0.029804</td>\n",
       "      <td>0.021248</td>\n",
       "      <td>0.018915</td>\n",
       "      <td>-0.026900</td>\n",
       "      <td>2024-04-22 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.008430</td>\n",
       "      <td>0.004776</td>\n",
       "      <td>0.020723</td>\n",
       "      <td>-0.006464</td>\n",
       "      <td>0.004521</td>\n",
       "      <td>0.003593</td>\n",
       "      <td>-0.009350</td>\n",
       "      <td>-0.006053</td>\n",
       "      <td>-0.007012</td>\n",
       "      <td>-0.000340</td>\n",
       "      <td>-0.004107</td>\n",
       "      <td>0.001648</td>\n",
       "      <td>-0.006904</td>\n",
       "      <td>2024-04-23 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.005933</td>\n",
       "      <td>0.004191</td>\n",
       "      <td>-0.010238</td>\n",
       "      <td>0.012188</td>\n",
       "      <td>-0.011430</td>\n",
       "      <td>0.012007</td>\n",
       "      <td>0.043435</td>\n",
       "      <td>0.002226</td>\n",
       "      <td>0.005964</td>\n",
       "      <td>0.011670</td>\n",
       "      <td>-0.000401</td>\n",
       "      <td>0.032394</td>\n",
       "      <td>0.044950</td>\n",
       "      <td>2024-04-24 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>-0.012822</td>\n",
       "      <td>-0.004589</td>\n",
       "      <td>0.012436</td>\n",
       "      <td>-0.004407</td>\n",
       "      <td>0.000634</td>\n",
       "      <td>-0.003168</td>\n",
       "      <td>-0.029177</td>\n",
       "      <td>0.002021</td>\n",
       "      <td>-0.010539</td>\n",
       "      <td>-0.001696</td>\n",
       "      <td>-0.003931</td>\n",
       "      <td>-0.032431</td>\n",
       "      <td>-0.027488</td>\n",
       "      <td>2024-04-25 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.000200</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003500</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.003100</td>\n",
       "      <td>-0.000700</td>\n",
       "      <td>-0.001900</td>\n",
       "      <td>-0.001000</td>\n",
       "      <td>-0.003600</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2024-04-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        헬스케어      방송통신        보험     에너지화학        은행       자동차      정보기술  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31 -0.004628  0.007913  0.015644 -0.007768  0.032202  0.005647 -0.000372   \n",
       "30  0.011897  0.022856  0.041712  0.002143  0.041778  0.021447 -0.008003   \n",
       "29 -0.010327 -0.010130 -0.021196 -0.007387 -0.027348 -0.013681 -0.015513   \n",
       "28  0.014722 -0.000105 -0.008999  0.022043 -0.015458  0.003147  0.016813   \n",
       "27  0.005699 -0.009592 -0.018686 -0.006867 -0.016862 -0.043937 -0.006719   \n",
       "26 -0.006201  0.003937  0.011891 -0.006249  0.011836 -0.001550  0.007220   \n",
       "25  0.026151  0.020136  0.034780  0.007906  0.032389  0.029989  0.034624   \n",
       "24  0.002199 -0.001164 -0.006028  0.002042 -0.005908 -0.014073  0.000671   \n",
       "23  0.031584 -0.013597 -0.006633  0.005120 -0.015101 -0.010538  0.000968   \n",
       "22 -0.000215  0.010450 -0.017068 -0.005965 -0.003359  0.014435  0.015931   \n",
       "21 -0.028636 -0.008700 -0.023458  0.005859 -0.038395  0.006276  0.014873   \n",
       "20  0.001513 -0.004045 -0.014900 -0.007824  0.000566 -0.019711  0.002152   \n",
       "19 -0.008719 -0.009561 -0.015083 -0.009219 -0.018902 -0.015553  0.010842   \n",
       "18 -0.004662 -0.002633 -0.005506  0.008417 -0.014806 -0.008933  0.004081   \n",
       "17 -0.036209 -0.011697  0.008969 -0.009829 -0.006268 -0.024964  0.007068   \n",
       "16 -0.016265 -0.012572 -0.011252 -0.015579 -0.018387 -0.023859 -0.027627   \n",
       "15 -0.011110  0.006094  0.004158  0.007035  0.023045  0.030088  0.028502   \n",
       "14 -0.018457 -0.009163 -0.005500 -0.002913 -0.008855 -0.003891 -0.019554   \n",
       "13  0.016803  0.002869  0.013129 -0.014725  0.010862  0.015989 -0.006432   \n",
       "12 -0.008061 -0.001742 -0.010549 -0.003635 -0.008876  0.001309 -0.002405   \n",
       "11 -0.010653 -0.016512 -0.026210 -0.014799 -0.008083  0.038092  0.010534   \n",
       "10  0.015095 -0.007460 -0.043436 -0.013322 -0.034861 -0.018733 -0.003402   \n",
       "9  -0.007066 -0.004548  0.010584 -0.017325  0.003994  0.015223 -0.010967   \n",
       "8  -0.023032 -0.007839 -0.016597 -0.020686 -0.023361 -0.000447 -0.034661   \n",
       "7  -0.012335 -0.009129 -0.008037 -0.014882 -0.016730 -0.017465 -0.005676   \n",
       "6   0.034684  0.010632  0.005169  0.017494  0.024327 -0.005622  0.021716   \n",
       "5  -0.010416 -0.010423 -0.004722 -0.017693 -0.007518 -0.011609 -0.029350   \n",
       "4   0.027753  0.010565  0.065166  0.015936  0.064677  0.030601 -0.003757   \n",
       "3   0.008430  0.004776  0.020723 -0.006464  0.004521  0.003593 -0.009350   \n",
       "2   0.005933  0.004191 -0.010238  0.012188 -0.011430  0.012007  0.043435   \n",
       "1  -0.012822 -0.004589  0.012436 -0.004407  0.000634 -0.003168 -0.029177   \n",
       "0  -0.000200  0.000000  0.000000 -0.003500  0.000000  0.000000  0.000000   \n",
       "\n",
       "          증권        철강        건설     경기소비재      기계장비       반도체  \\\n",
       "32  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000   \n",
       "31  0.038147 -0.011357 -0.010941 -0.003212  0.006513 -0.003891   \n",
       "30  0.022037  0.001582  0.015168  0.008333  0.023444 -0.012967   \n",
       "29 -0.024479 -0.007857 -0.000279 -0.002497 -0.019288 -0.006497   \n",
       "28 -0.002087  0.011681  0.000544 -0.004179  0.025323  0.013431   \n",
       "27 -0.008431 -0.009423 -0.011644 -0.001949 -0.005543 -0.014548   \n",
       "26  0.011833 -0.007122 -0.001339  0.004792  0.000319  0.013525   \n",
       "25  0.019872  0.012188  0.009071  0.009793  0.019809  0.034479   \n",
       "24 -0.003684 -0.004801 -0.007277  0.002262  0.000707 -0.008201   \n",
       "23 -0.021504  0.005143 -0.014959 -0.006780 -0.000380 -0.004496   \n",
       "22  0.000881 -0.001973 -0.001993  0.007354 -0.001930  0.024172   \n",
       "21 -0.019743  0.002487  0.004719  0.000420 -0.000762  0.017863   \n",
       "20 -0.013336 -0.018517  0.002770 -0.005054 -0.015151  0.021001   \n",
       "19 -0.009461 -0.007153 -0.014037 -0.008757 -0.006668  0.016569   \n",
       "18 -0.012894  0.003611  0.006867  0.026674  0.003412  0.008662   \n",
       "17  0.002567 -0.012330 -0.008801 -0.013017 -0.013894  0.011336   \n",
       "16 -0.011171 -0.017377  0.008590 -0.012790 -0.027237 -0.020042   \n",
       "15  0.010586  0.017166 -0.001876 -0.005728  0.013963  0.026553   \n",
       "14 -0.001901 -0.011489 -0.000485  0.000128 -0.005979 -0.014184   \n",
       "13  0.008915  0.003739 -0.010872 -0.008165 -0.000574 -0.020525   \n",
       "12 -0.004950  0.014459 -0.002223  0.003621  0.008806  0.001623   \n",
       "11 -0.026501 -0.001147 -0.009387 -0.005336 -0.002335  0.019499   \n",
       "10 -0.015358 -0.008218 -0.014005 -0.012122  0.000343  0.004654   \n",
       "9   0.006230  0.001521  0.004105 -0.009266 -0.000399  0.000221   \n",
       "8  -0.022231 -0.019614 -0.012783 -0.005526 -0.042977 -0.038301   \n",
       "7  -0.009789 -0.010584 -0.019676  0.009260 -0.006861 -0.001195   \n",
       "6   0.017183  0.030064  0.024053  0.012175  0.062082  0.019435   \n",
       "5  -0.015310 -0.006846 -0.006686 -0.013918 -0.006504 -0.036579   \n",
       "4   0.052263  0.005768  0.029804  0.021248  0.018915 -0.026900   \n",
       "3  -0.006053 -0.007012 -0.000340 -0.004107  0.001648 -0.006904   \n",
       "2   0.002226  0.005964  0.011670 -0.000401  0.032394  0.044950   \n",
       "1   0.002021 -0.010539 -0.001696 -0.003931 -0.032431 -0.027488   \n",
       "0  -0.003100 -0.000700 -0.001900 -0.001000 -0.003600  0.000000   \n",
       "\n",
       "                     날짜  \n",
       "32  2024-03-12 00:00:00  \n",
       "31  2024-03-13 00:00:00  \n",
       "30  2024-03-14 00:00:00  \n",
       "29  2024-03-15 00:00:00  \n",
       "28  2024-03-18 00:00:00  \n",
       "27  2024-03-19 00:00:00  \n",
       "26  2024-03-20 00:00:00  \n",
       "25  2024-03-21 00:00:00  \n",
       "24  2024-03-22 00:00:00  \n",
       "23  2024-03-25 00:00:00  \n",
       "22  2024-03-26 00:00:00  \n",
       "21  2024-03-27 00:00:00  \n",
       "20  2024-03-28 00:00:00  \n",
       "19  2024-03-29 00:00:00  \n",
       "18  2024-04-01 00:00:00  \n",
       "17  2024-04-02 00:00:00  \n",
       "16  2024-04-03 00:00:00  \n",
       "15  2024-04-04 00:00:00  \n",
       "14  2024-04-05 00:00:00  \n",
       "13  2024-04-08 00:00:00  \n",
       "12  2024-04-09 00:00:00  \n",
       "11  2024-04-11 00:00:00  \n",
       "10  2024-04-12 00:00:00  \n",
       "9   2024-04-15 00:00:00  \n",
       "8   2024-04-16 00:00:00  \n",
       "7   2024-04-17 00:00:00  \n",
       "6   2024-04-18 00:00:00  \n",
       "5   2024-04-19 00:00:00  \n",
       "4   2024-04-22 00:00:00  \n",
       "3   2024-04-23 00:00:00  \n",
       "2   2024-04-24 00:00:00  \n",
       "1   2024-04-25 00:00:00  \n",
       "0   2024-04-26 00:00:00  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 철강\n",
    "steel_sector_path = '철강_sector.csv'\n",
    "steel_sector_data = pd.read_csv(steel_sector_path, encoding='utf-8')\n",
    "\n",
    "# Process data\n",
    "steel_returns = returns_data.iloc[:, 1:].pct_change()\n",
    "steel_returns[\"날짜\"] = returns_data[\"날짜\"]\n",
    "steel_returns.fillna(0, inplace=True)\n",
    "\n",
    "# Replace 4월 26일 data with predictions from steel_sector_data\n",
    "date_to_replace = \"2024-04-26\"\n",
    "for _, row in steel_sector_data.iterrows():\n",
    "    sector = row[\"Right Sector\"]\n",
    "    predicted_return = row[\"Predicted\"]\n",
    "    if sector in steel_returns.columns:\n",
    "        steel_returns.loc[steel_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = predicted_return\n",
    "\n",
    "# Set sectors not in steel_sector_data to 0 for 4월 26일\n",
    "all_sectors = set(steel_returns.columns) - {\"날짜\"}\n",
    "sectors_to_zero = all_sectors - set(steel_sector_data[\"Right Sector\"])\n",
    "for sector in sectors_to_zero:\n",
    "    steel_returns.loc[steel_returns[\"날짜\"] == pd.Timestamp(date_to_replace), sector] = 0\n",
    "\n",
    "steel_returns.head(33)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "f54c7922",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Construction_헬스케어     0.004298\n",
       "Construction_방송통신     0.020266\n",
       "Construction_보험       0.000000\n",
       "Construction_에너지화학    0.000000\n",
       "Construction_은행       0.000000\n",
       "Construction_자동차      0.000000\n",
       "Construction_정보기술     0.002635\n",
       "Construction_증권       0.009149\n",
       "Construction_철강       0.023950\n",
       "Construction_건설       0.008717\n",
       "Construction_경기소비재    0.007943\n",
       "Construction_기계장비     0.000000\n",
       "Bank_헬스케어             0.003893\n",
       "Bank_방송통신             0.020161\n",
       "Bank_보험               0.000000\n",
       "Name: Weights, dtype: float64"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# Example list of sector dataframes (replace with actual dataframes and their names)\n",
    "sector_dataframes = {\n",
    "    \"Construction\": construction_returns,\n",
    "    \"Bank\": bank_returns,\n",
    "    \"ConsumerGoods\": consumer_goods_returns,\n",
    "    \"Healthcare\": healthcare_returns,\n",
    "    \"EnergyChemical\": energy_chemical_returns,\n",
    "    \"Automobile\": automobile_returns,\n",
    "    \"InfoTech\": info_tech_returns,\n",
    "    \"Machinery\": machinery_returns,\n",
    "    \"Semiconductor\": semiconductor_returns,\n",
    "    \"Telecom\": telecom_returns,\n",
    "    \"Insurance\": insurance_returns,\n",
    "    \"Securities\": securities_returns,\n",
    "    \"Steel\": steel_returns,\n",
    "}\n",
    "\n",
    "# Combine all sectors into a single DataFrame for GMV optimization\n",
    "# Using sector names as columns for identification\n",
    "combined_returns = pd.concat(\n",
    "    [df.set_index(\"날짜\").iloc[:, :-1].add_prefix(f\"{name}_\") for name, df in sector_dataframes.items()],\n",
    "    axis=1\n",
    ")\n",
    "\n",
    "# Replace 0 in 4월 26일 수익률 with 4월 25일 data\n",
    "date_to_replace = pd.Timestamp(\"2024-04-26\")\n",
    "previous_date = pd.Timestamp(\"2024-04-25\")\n",
    "\n",
    "# Replace row-by-row at the DataFrame level\n",
    "combined_returns.loc[date_to_replace] = combined_returns.loc[date_to_replace].mask(\n",
    "    combined_returns.loc[date_to_replace] == 0, combined_returns.loc[previous_date]\n",
    ")\n",
    "\n",
    "# Select data from 3월 13일 to 4월 26일\n",
    "start_date = pd.Timestamp(\"2024-03-13\")\n",
    "end_date = pd.Timestamp(\"2024-04-26\")\n",
    "data_for_gmv = combined_returns.loc[start_date:end_date]\n",
    "\n",
    "# Drop columns with constant values (e.g., all 0 or single value)\n",
    "data_for_gmv = data_for_gmv.loc[:, (data_for_gmv.std() != 0)]\n",
    "\n",
    "# Calculate covariance matrix with regularization\n",
    "cov_matrix = data_for_gmv.cov() + np.eye(len(data_for_gmv.columns)) * 1e-6  # Add small value for regularization\n",
    "\n",
    "# GMV optimization\n",
    "num_assets = len(cov_matrix)\n",
    "ones = np.ones(num_assets)\n",
    "\n",
    "# Solve for weights: w = Σ^(-1) * 1 / (1' * Σ^(-1) * 1)\n",
    "inv_cov_matrix = np.linalg.inv(cov_matrix)\n",
    "weights = np.dot(inv_cov_matrix, ones) / np.dot(ones.T, np.dot(inv_cov_matrix, ones))\n",
    "\n",
    "# Ensure weights are between 0 and 1\n",
    "weights = np.clip(weights, 0, 1)\n",
    "\n",
    "# Normalize weights to sum to 1\n",
    "weights /= weights.sum()\n",
    "\n",
    "# Display results\n",
    "portfolio_weights = pd.Series(weights, index=cov_matrix.columns, name=\"Weights\")\n",
    "portfolio_weights.head(15)\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "4f6025d0",
   "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>PortfolioType</th>\n",
       "      <th>Automobile</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Construction</th>\n",
       "      <th>ConsumerGoods</th>\n",
       "      <th>EnergyChemical</th>\n",
       "      <th>Healthcare</th>\n",
       "      <th>InfoTech</th>\n",
       "      <th>Insurance</th>\n",
       "      <th>Machinery</th>\n",
       "      <th>Securities</th>\n",
       "      <th>Semiconductor</th>\n",
       "      <th>Steel</th>\n",
       "      <th>Telecom</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AssetSector</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>건설</th>\n",
       "      <td>0.113994</td>\n",
       "      <td>0.113903</td>\n",
       "      <td>0.113267</td>\n",
       "      <td>0.112852</td>\n",
       "      <td>0.113669</td>\n",
       "      <td>0.112457</td>\n",
       "      <td>0.114072</td>\n",
       "      <td>0.113576</td>\n",
       "      <td>0.114537</td>\n",
       "      <td>0.114128</td>\n",
       "      <td>0.114071</td>\n",
       "      <td>0.112534</td>\n",
       "      <td>0.114003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>경기소비재</th>\n",
       "      <td>0.103890</td>\n",
       "      <td>0.103556</td>\n",
       "      <td>0.103215</td>\n",
       "      <td>0.102475</td>\n",
       "      <td>0.104693</td>\n",
       "      <td>0.103577</td>\n",
       "      <td>0.103917</td>\n",
       "      <td>0.104490</td>\n",
       "      <td>0.103563</td>\n",
       "      <td>0.103406</td>\n",
       "      <td>0.103833</td>\n",
       "      <td>0.102358</td>\n",
       "      <td>0.102759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>기계장비</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>방송통신</th>\n",
       "      <td>0.263026</td>\n",
       "      <td>0.263152</td>\n",
       "      <td>0.263339</td>\n",
       "      <td>0.260929</td>\n",
       "      <td>0.263985</td>\n",
       "      <td>0.259810</td>\n",
       "      <td>0.263370</td>\n",
       "      <td>0.263474</td>\n",
       "      <td>0.264442</td>\n",
       "      <td>0.261946</td>\n",
       "      <td>0.263748</td>\n",
       "      <td>0.261153</td>\n",
       "      <td>0.262920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>보험</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>에너지화학</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은행</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>정보기술</th>\n",
       "      <td>0.034042</td>\n",
       "      <td>0.034685</td>\n",
       "      <td>0.034237</td>\n",
       "      <td>0.045849</td>\n",
       "      <td>0.034530</td>\n",
       "      <td>0.045689</td>\n",
       "      <td>0.034652</td>\n",
       "      <td>0.033837</td>\n",
       "      <td>0.034003</td>\n",
       "      <td>0.033494</td>\n",
       "      <td>0.034065</td>\n",
       "      <td>0.045686</td>\n",
       "      <td>0.034099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>증권</th>\n",
       "      <td>0.121411</td>\n",
       "      <td>0.121524</td>\n",
       "      <td>0.118883</td>\n",
       "      <td>0.118318</td>\n",
       "      <td>0.120521</td>\n",
       "      <td>0.119154</td>\n",
       "      <td>0.120989</td>\n",
       "      <td>0.119871</td>\n",
       "      <td>0.121148</td>\n",
       "      <td>0.120797</td>\n",
       "      <td>0.120695</td>\n",
       "      <td>0.120014</td>\n",
       "      <td>0.120410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>철강</th>\n",
       "      <td>0.312573</td>\n",
       "      <td>0.312366</td>\n",
       "      <td>0.311210</td>\n",
       "      <td>0.309564</td>\n",
       "      <td>0.311514</td>\n",
       "      <td>0.308854</td>\n",
       "      <td>0.312362</td>\n",
       "      <td>0.314932</td>\n",
       "      <td>0.312220</td>\n",
       "      <td>0.310366</td>\n",
       "      <td>0.312950</td>\n",
       "      <td>0.308089</td>\n",
       "      <td>0.310049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>헬스케어</th>\n",
       "      <td>0.051065</td>\n",
       "      <td>0.050815</td>\n",
       "      <td>0.055849</td>\n",
       "      <td>0.050014</td>\n",
       "      <td>0.051087</td>\n",
       "      <td>0.050459</td>\n",
       "      <td>0.050638</td>\n",
       "      <td>0.049820</td>\n",
       "      <td>0.050086</td>\n",
       "      <td>0.055862</td>\n",
       "      <td>0.050638</td>\n",
       "      <td>0.050166</td>\n",
       "      <td>0.055760</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "PortfolioType  Automobile      Bank  Construction  ConsumerGoods  \\\n",
       "AssetSector                                                        \n",
       "건설               0.113994  0.113903      0.113267       0.112852   \n",
       "경기소비재            0.103890  0.103556      0.103215       0.102475   \n",
       "기계장비             0.000000  0.000000      0.000000       0.000000   \n",
       "방송통신             0.263026  0.263152      0.263339       0.260929   \n",
       "보험               0.000000  0.000000      0.000000       0.000000   \n",
       "에너지화학            0.000000  0.000000      0.000000       0.000000   \n",
       "은행               0.000000  0.000000      0.000000       0.000000   \n",
       "자동차              0.000000  0.000000      0.000000       0.000000   \n",
       "정보기술             0.034042  0.034685      0.034237       0.045849   \n",
       "증권               0.121411  0.121524      0.118883       0.118318   \n",
       "철강               0.312573  0.312366      0.311210       0.309564   \n",
       "헬스케어             0.051065  0.050815      0.055849       0.050014   \n",
       "\n",
       "PortfolioType  EnergyChemical  Healthcare  InfoTech  Insurance  Machinery  \\\n",
       "AssetSector                                                                 \n",
       "건설                   0.113669    0.112457  0.114072   0.113576   0.114537   \n",
       "경기소비재                0.104693    0.103577  0.103917   0.104490   0.103563   \n",
       "기계장비                 0.000000    0.000000  0.000000   0.000000   0.000000   \n",
       "방송통신                 0.263985    0.259810  0.263370   0.263474   0.264442   \n",
       "보험                   0.000000    0.000000  0.000000   0.000000   0.000000   \n",
       "에너지화학                0.000000    0.000000  0.000000   0.000000   0.000000   \n",
       "은행                   0.000000    0.000000  0.000000   0.000000   0.000000   \n",
       "자동차                  0.000000    0.000000  0.000000   0.000000   0.000000   \n",
       "정보기술                 0.034530    0.045689  0.034652   0.033837   0.034003   \n",
       "증권                   0.120521    0.119154  0.120989   0.119871   0.121148   \n",
       "철강                   0.311514    0.308854  0.312362   0.314932   0.312220   \n",
       "헬스케어                 0.051087    0.050459  0.050638   0.049820   0.050086   \n",
       "\n",
       "PortfolioType  Securities  Semiconductor     Steel   Telecom  \n",
       "AssetSector                                                   \n",
       "건설               0.114128       0.114071  0.112534  0.114003  \n",
       "경기소비재            0.103406       0.103833  0.102358  0.102759  \n",
       "기계장비             0.000000       0.000000  0.000000  0.000000  \n",
       "방송통신             0.261946       0.263748  0.261153  0.262920  \n",
       "보험               0.000000       0.000000  0.000000  0.000000  \n",
       "에너지화학            0.000000       0.000000  0.000000  0.000000  \n",
       "은행               0.000000       0.000000  0.000000  0.000000  \n",
       "자동차              0.000000       0.000000  0.000000  0.000000  \n",
       "정보기술             0.033494       0.034065  0.045686  0.034099  \n",
       "증권               0.120797       0.120695  0.120014  0.120410  \n",
       "철강               0.310366       0.312950  0.308089  0.310049  \n",
       "헬스케어             0.055862       0.050638  0.050166  0.055760  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 포트폴리오 가중치를 데이터프레임 형태로 변환\n",
    "portfolio_weights_df = portfolio_weights.reset_index()\n",
    "portfolio_weights_df.columns = ['Column', 'Weight']\n",
    "\n",
    "# 자산군 섹터 이름 추출\n",
    "portfolio_weights_df['AssetSector'] = portfolio_weights_df['Column'].apply(lambda x: '_'.join(x.split('_')[1:]))\n",
    "portfolio_weights_df['PortfolioType'] = portfolio_weights_df['Column'].apply(lambda x: x.split('_')[0])\n",
    "\n",
    "# 포트폴리오 종류를 열로, 자산군 섹터 이름을 행으로 배치\n",
    "weights_table = portfolio_weights_df.pivot(index='AssetSector', columns='PortfolioType', values='Weight')\n",
    "\n",
    "# 결측치를 0으로 채움\n",
    "weights_table = weights_table.fillna(0)\n",
    "\n",
    "# 각 열(포트폴리오 종류)의 가중치 합을 구하고, 각 열을 해당 합으로 나누어 정규화\n",
    "weights_table = weights_table.div(weights_table.sum(axis=0), axis=1)\n",
    "\n",
    "# 결과 확인\n",
    "weights_table.head(15)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "d1ec9242",
   "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>Sector</th>\n",
       "      <th>Portfolio Return</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>자동차</td>\n",
       "      <td>0.007923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>은행</td>\n",
       "      <td>0.007933</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>건설</td>\n",
       "      <td>0.007852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>경기소비재</td>\n",
       "      <td>0.008006</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>에너지화학</td>\n",
       "      <td>0.007920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>헬스케어</td>\n",
       "      <td>0.008012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>정보기술</td>\n",
       "      <td>0.007928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>보험</td>\n",
       "      <td>0.007905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>기계장비</td>\n",
       "      <td>0.007931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>증권</td>\n",
       "      <td>0.007872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>반도체</td>\n",
       "      <td>0.007917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>철강</td>\n",
       "      <td>0.008030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>방송통신</td>\n",
       "      <td>0.007875</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Sector  Portfolio Return\n",
       "0     자동차          0.007923\n",
       "1      은행          0.007933\n",
       "2      건설          0.007852\n",
       "3   경기소비재          0.008006\n",
       "4   에너지화학          0.007920\n",
       "5    헬스케어          0.008012\n",
       "6    정보기술          0.007928\n",
       "7      보험          0.007905\n",
       "8    기계장비          0.007931\n",
       "9      증권          0.007872\n",
       "10    반도체          0.007917\n",
       "11     철강          0.008030\n",
       "12   방송통신          0.007875"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 영어 섹터 이름과 한국어 섹터 이름 매핑\n",
    "sector_name_mapping = {\n",
    "    \"Construction\": \"건설\",\n",
    "    \"Bank\": \"은행\",\n",
    "    \"ConsumerGoods\": \"경기소비재\",\n",
    "    \"Healthcare\": \"헬스케어\",\n",
    "    \"EnergyChemical\": \"에너지화학\",\n",
    "    \"Automobile\": \"자동차\",\n",
    "    \"InfoTech\": \"정보기술\",\n",
    "    \"Machinery\": \"기계장비\",\n",
    "    \"Semiconductor\": \"반도체\",\n",
    "    \"Telecom\": \"방송통신\",\n",
    "    \"Insurance\": \"보험\",\n",
    "    \"Securities\": \"증권\",\n",
    "    \"Steel\": \"철강\",\n",
    "}\n",
    "\n",
    "# 사진에서 가져온 섹터별 실제 수익률 데이터 (사용자 제공 데이터)\n",
    "actual_returns = {\n",
    "    \"헬스케어\": -0.002,\n",
    "    \"방송통신\": 0.008353,\n",
    "    \"보험\": 0.022823,\n",
    "    \"에너지화학\": -0.00443,\n",
    "    \"은행\": 0.05463358,\n",
    "    \"자동차\": 0.00114,\n",
    "    \"정보기술\": 0.016212,\n",
    "    \"증권\": 0.020352,\n",
    "    \"철강\": 0.003901,\n",
    "    \"건설\": 0.007224,\n",
    "    \"경기소비재\": 0.007339,\n",
    "    \"기계장비\": 0.018176,\n",
    "    \"반도체\": 0.019209\n",
    "}\n",
    "\n",
    "# 실제 수익률을 데이터프레임으로 변환\n",
    "actual_returns_df = pd.DataFrame.from_dict(actual_returns, orient='index', columns=['ActualReturns'])\n",
    "\n",
    "# 포트폴리오 가중치 테이블과 수익률 데이터 결합\n",
    "weights_table.index.name = \"AssetSector\"\n",
    "merged_table = weights_table.merge(actual_returns_df, left_index=True, right_index=True)\n",
    "\n",
    "# 각 포트폴리오 성과 계산\n",
    "portfolio_performance = (\n",
    "    merged_table.drop(columns=[\"ActualReturns\"])\n",
    "    .multiply(merged_table[\"ActualReturns\"], axis=0)\n",
    "    .sum()\n",
    "    .reset_index()\n",
    ")\n",
    "\n",
    "# 결과 열 이름 변경\n",
    "portfolio_performance.columns = [\"Sector\", \"Portfolio Return\"]\n",
    "\n",
    "# 영어 섹터 이름을 한국어로 변환\n",
    "portfolio_performance[\"Sector\"] = portfolio_performance[\"Sector\"].map(sector_name_mapping)\n",
    "\n",
    "# 결과 출력\n",
    "portfolio_performance\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "9db356b4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Construction_헬스케어     2.142297e-14\n",
      "Construction_방송통신     1.045778e-14\n",
      "Construction_보험       0.000000e+00\n",
      "Construction_에너지화학    0.000000e+00\n",
      "Construction_은행       0.000000e+00\n",
      "                          ...     \n",
      "Steel_증권              0.000000e+00\n",
      "Steel_철강              9.471590e-16\n",
      "Steel_건설              6.418477e-16\n",
      "Steel_경기소비재           7.716917e-15\n",
      "Steel_기계장비            0.000000e+00\n",
      "Name: Optimized Weights, Length: 156, dtype: float64\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from scipy.optimize import minimize\n",
    "\n",
    "# Example list of sector dataframes (replace with actual dataframes and their names)\n",
    "sector_dataframes = {\n",
    "    \"Construction\": construction_returns,\n",
    "    \"Bank\": bank_returns,\n",
    "    \"ConsumerGoods\": consumer_goods_returns,\n",
    "    \"Healthcare\": healthcare_returns,\n",
    "    \"EnergyChemical\": energy_chemical_returns,\n",
    "    \"Automobile\": automobile_returns,\n",
    "    \"InfoTech\": info_tech_returns,\n",
    "    \"Machinery\": machinery_returns,\n",
    "    \"Semiconductor\": semiconductor_returns,\n",
    "    \"Telecom\": telecom_returns,\n",
    "    \"Insurance\": insurance_returns,\n",
    "    \"Securities\": securities_returns,\n",
    "    \"Steel\": steel_returns,\n",
    "}\n",
    "\n",
    "# Combine all sectors into a single DataFrame for optimization\n",
    "combined_returns = pd.concat(\n",
    "    [df.set_index(\"날짜\").iloc[:, :-1].add_prefix(f\"{name}_\") for name, df in sector_dataframes.items()],\n",
    "    axis=1\n",
    ")\n",
    "\n",
    "# Replace 0 in 4월 26일 수익률 with 4월 25일 data\n",
    "date_to_replace = pd.Timestamp(\"2024-04-26\")\n",
    "previous_date = pd.Timestamp(\"2024-04-25\")\n",
    "combined_returns.loc[date_to_replace] = combined_returns.loc[date_to_replace].mask(\n",
    "    combined_returns.loc[date_to_replace] == 0, combined_returns.loc[previous_date]\n",
    ")\n",
    "\n",
    "# Select data from 3월 13일 to 4월 26일\n",
    "start_date = pd.Timestamp(\"2024-03-13\")\n",
    "end_date = pd.Timestamp(\"2024-04-26\")\n",
    "data_for_mvo = combined_returns.loc[start_date:end_date]\n",
    "\n",
    "# Drop columns with constant values (e.g., all 0 or single value)\n",
    "data_for_mvo = data_for_mvo.loc[:, (data_for_mvo.std() != 0)]\n",
    "\n",
    "# Calculate covariance matrix\n",
    "cov_matrix = data_for_mvo.cov() + np.eye(len(data_for_mvo.columns)) * 1e-6  # Add small value for regularization\n",
    "\n",
    "# Calculate expected returns (mean returns) using 4월 26일 data as priority, fallback to 4월 25일\n",
    "expected_returns = combined_returns.loc[date_to_replace]\n",
    "expected_returns.fillna(combined_returns.loc[previous_date], inplace=True)\n",
    "\n",
    "# Normalize expected returns to match selected columns\n",
    "expected_returns = expected_returns[data_for_mvo.columns]\n",
    "\n",
    "# Risk-free rate (for Sharpe Ratio calculation, assumed as 0.01 or 1%)\n",
    "risk_free_rate = 0.01\n",
    "\n",
    "# Define the Sharpe Ratio maximization objective function\n",
    "def sharpe_ratio(weights):\n",
    "    portfolio_return = np.dot(weights, expected_returns)\n",
    "    portfolio_volatility = np.sqrt(np.dot(weights.T, np.dot(cov_matrix, weights)))\n",
    "    sharpe = (portfolio_return - risk_free_rate) / portfolio_volatility\n",
    "    return -sharpe  # Negative because we are minimizing\n",
    "\n",
    "# Constraints: weights sum to 1, bounds: 0 <= weights <= 1\n",
    "constraints = ({'type': 'eq', 'fun': lambda weights: np.sum(weights) - 1})  # Constraint that the sum of weights should be 1\n",
    "bounds = [(0, 1) for _ in range(len(data_for_mvo.columns))]  # Bounds for each weight (0 <= weight <= 1)\n",
    "\n",
    "# Initial guess for weights\n",
    "initial_weights = np.array([1 / len(data_for_mvo.columns)] * len(data_for_mvo.columns))  # Evenly distributed initial weights\n",
    "\n",
    "# Optimization\n",
    "result = minimize(sharpe_ratio, initial_weights, method='SLSQP', bounds=bounds, constraints=constraints)\n",
    "\n",
    "# Optimized weights\n",
    "optimized_weights = result.x\n",
    "\n",
    "# Display results\n",
    "portfolio_weights = pd.Series(optimized_weights, index=data_for_mvo.columns, name=\"Optimized Weights\")\n",
    "print(portfolio_weights)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "cb9da3c9",
   "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>PortfolioType</th>\n",
       "      <th>Automobile</th>\n",
       "      <th>Bank</th>\n",
       "      <th>Construction</th>\n",
       "      <th>ConsumerGoods</th>\n",
       "      <th>EnergyChemical</th>\n",
       "      <th>Healthcare</th>\n",
       "      <th>InfoTech</th>\n",
       "      <th>Insurance</th>\n",
       "      <th>Machinery</th>\n",
       "      <th>Securities</th>\n",
       "      <th>Semiconductor</th>\n",
       "      <th>Steel</th>\n",
       "      <th>Telecom</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AssetSector</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>건설</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.070218</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.057342</td>\n",
       "      <td>8.511941e-14</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.040396</td>\n",
       "      <td>0.192291</td>\n",
       "      <td>0.401058</td>\n",
       "      <td>3.301526e-14</td>\n",
       "      <td>3.851086e-15</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>경기소비재</th>\n",
       "      <td>1.298857e-13</td>\n",
       "      <td>0.135221</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.198802</td>\n",
       "      <td>0.545517</td>\n",
       "      <td>0.047217</td>\n",
       "      <td>1.108488e-15</td>\n",
       "      <td>4.630150e-14</td>\n",
       "      <td>0.139940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>기계장비</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.281001</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.360370e-14</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.679448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>방송통신</th>\n",
       "      <td>4.273144e-14</td>\n",
       "      <td>0.367702</td>\n",
       "      <td>0.116287</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.047737e-13</td>\n",
       "      <td>7.904094e-14</td>\n",
       "      <td>1.550843e-15</td>\n",
       "      <td>0.374007</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.032957</td>\n",
       "      <td>6.095124e-14</td>\n",
       "      <td>2.717097e-14</td>\n",
       "      <td>0.021334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>보험</th>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.231973</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012921</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>에너지화학</th>\n",
       "      <td>1.009765e-13</td>\n",
       "      <td>0.194886</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.175450</td>\n",
       "      <td>2.343958e-14</td>\n",
       "      <td>1.320870e-13</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.256926</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.364843</td>\n",
       "      <td>6.242402e-14</td>\n",
       "      <td>3.737115e-14</td>\n",
       "      <td>0.063878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은행</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.440756e-15</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016223</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>8.586881e-16</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.012716</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>정보기술</th>\n",
       "      <td>1.229745e-14</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.019454</td>\n",
       "      <td>0.734394</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.195483e-13</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.249476</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.007672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>증권</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.538873e-14</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.076984e-14</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>철강</th>\n",
       "      <td>5.428991e-14</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.328820</td>\n",
       "      <td>0.013082</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.567738e-14</td>\n",
       "      <td>0.129869</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.153926</td>\n",
       "      <td>3.870342e-14</td>\n",
       "      <td>5.682954e-15</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>헬스케어</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.238216</td>\n",
       "      <td>0.006812</td>\n",
       "      <td>5.364979e-14</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.668457e-14</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.087728</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "PortfolioType    Automobile      Bank  Construction  ConsumerGoods  \\\n",
       "AssetSector                                                          \n",
       "건설             0.000000e+00  0.070218      0.000000       0.057342   \n",
       "경기소비재          1.298857e-13  0.135221      0.000000       0.000000   \n",
       "기계장비           0.000000e+00  0.000000      0.281001       0.000000   \n",
       "방송통신           4.273144e-14  0.367702      0.116287       0.000000   \n",
       "보험             1.000000e+00  0.231973      0.000000       0.012921   \n",
       "에너지화학          1.009765e-13  0.194886      0.000000       0.175450   \n",
       "은행             0.000000e+00  0.000000      0.000000       0.000000   \n",
       "자동차            0.000000e+00  0.000000      0.016223       0.000000   \n",
       "정보기술           1.229745e-14  0.000000      0.019454       0.734394   \n",
       "증권             0.000000e+00  0.000000      0.000000       0.000000   \n",
       "철강             5.428991e-14  0.000000      0.328820       0.013082   \n",
       "헬스케어           0.000000e+00  0.000000      0.238216       0.006812   \n",
       "\n",
       "PortfolioType  EnergyChemical    Healthcare      InfoTech  Insurance  \\\n",
       "AssetSector                                                            \n",
       "건설               8.511941e-14  0.000000e+00  0.000000e+00   0.040396   \n",
       "경기소비재            0.000000e+00  0.000000e+00  0.000000e+00   0.198802   \n",
       "기계장비             1.360370e-14  0.000000e+00  0.000000e+00   0.000000   \n",
       "방송통신             2.047737e-13  7.904094e-14  1.550843e-15   0.374007   \n",
       "보험               1.000000e+00  1.000000e+00  1.000000e+00   0.000000   \n",
       "에너지화학            2.343958e-14  1.320870e-13  0.000000e+00   0.256926   \n",
       "은행               0.000000e+00  2.440756e-15  0.000000e+00   0.000000   \n",
       "자동차              0.000000e+00  0.000000e+00  8.586881e-16   0.000000   \n",
       "정보기술             0.000000e+00  2.195483e-13  0.000000e+00   0.000000   \n",
       "증권               1.538873e-14  0.000000e+00  2.076984e-14   0.000000   \n",
       "철강               0.000000e+00  0.000000e+00  2.567738e-14   0.129869   \n",
       "헬스케어             5.364979e-14  0.000000e+00  0.000000e+00   0.000000   \n",
       "\n",
       "PortfolioType  Machinery  Securities  Semiconductor         Steel   Telecom  \n",
       "AssetSector                                                                  \n",
       "건설              0.192291    0.401058   3.301526e-14  3.851086e-15  0.000000  \n",
       "경기소비재           0.545517    0.047217   1.108488e-15  4.630150e-14  0.139940  \n",
       "기계장비            0.000000    0.000000   0.000000e+00  0.000000e+00  0.679448  \n",
       "방송통신            0.000000    0.032957   6.095124e-14  2.717097e-14  0.021334  \n",
       "보험              0.000000    0.000000   1.000000e+00  1.000000e+00  0.000000  \n",
       "에너지화학           0.000000    0.364843   6.242402e-14  3.737115e-14  0.063878  \n",
       "은행              0.000000    0.000000   0.000000e+00  0.000000e+00  0.000000  \n",
       "자동차             0.012716    0.000000   0.000000e+00  0.000000e+00  0.000000  \n",
       "정보기술            0.249476    0.000000   0.000000e+00  0.000000e+00  0.007672  \n",
       "증권              0.000000    0.000000   0.000000e+00  0.000000e+00  0.000000  \n",
       "철강              0.000000    0.153926   3.870342e-14  5.682954e-15  0.000000  \n",
       "헬스케어            0.000000    0.000000   1.668457e-14  0.000000e+00  0.087728  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 포트폴리오 가중치를 데이터프레임 형태로 변환\n",
    "portfolio_weights_df = portfolio_weights.reset_index()\n",
    "portfolio_weights_df.columns = ['Column', 'Weight']\n",
    "\n",
    "# 자산군 섹터 이름 추출\n",
    "portfolio_weights_df['AssetSector'] = portfolio_weights_df['Column'].apply(lambda x: '_'.join(x.split('_')[1:]))\n",
    "portfolio_weights_df['PortfolioType'] = portfolio_weights_df['Column'].apply(lambda x: x.split('_')[0])\n",
    "\n",
    "# 포트폴리오 종류를 열로, 자산군 섹터 이름을 행으로 배치\n",
    "weights_table = portfolio_weights_df.pivot(index='AssetSector', columns='PortfolioType', values='Weight')\n",
    "\n",
    "# 결측치를 0으로 채움\n",
    "weights_table = weights_table.fillna(0)\n",
    "\n",
    "# 각 열(포트폴리오 종류)의 가중치 합을 구하고, 각 열을 해당 합으로 나누어 정규화\n",
    "weights_table = weights_table.div(weights_table.sum(axis=0), axis=1)\n",
    "\n",
    "# 결과 확인\n",
    "weights_table.head(15)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "206cafff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Automobile        0.022823\n",
      "Bank              0.009002\n",
      "Construction      0.007219\n",
      "ConsumerGoods     0.011875\n",
      "EnergyChemical    0.022823\n",
      "Healthcare        0.022823\n",
      "InfoTech          0.022823\n",
      "Insurance         0.004243\n",
      "Machinery         0.009452\n",
      "Securities        0.002503\n",
      "Semiconductor     0.022823\n",
      "Steel             0.022823\n",
      "Telecom           0.013221\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 포트폴리오 가중치를 데이터프레임 형태로 변환\n",
    "portfolio_weights_df = portfolio_weights.reset_index()\n",
    "portfolio_weights_df.columns = ['Column', 'Weight']\n",
    "\n",
    "# 자산군 섹터 이름 추출\n",
    "portfolio_weights_df['AssetSector'] = portfolio_weights_df['Column'].apply(lambda x: '_'.join(x.split('_')[1:]))\n",
    "portfolio_weights_df['PortfolioType'] = portfolio_weights_df['Column'].apply(lambda x: x.split('_')[0])\n",
    "\n",
    "# 포트폴리오 종류를 열로, 자산군 섹터 이름을 행으로 배치\n",
    "weights_table = portfolio_weights_df.pivot(index='AssetSector', columns='PortfolioType', values='Weight')\n",
    "\n",
    "# 결측치를 0으로 채움\n",
    "weights_table = weights_table.fillna(0)\n",
    "\n",
    "# 각 열(포트폴리오 종류)의 가중치 합을 구하고, 각 열을 해당 합으로 나누어 정규화\n",
    "weights_table = weights_table.div(weights_table.sum(axis=0), axis=1)\n",
    "\n",
    "# 실제 수익률 (2024-04-26) 데이터 입력\n",
    "actual_returns = {\n",
    "    \"헬스케어\": -0.002,\n",
    "    \"방송통신\": 0.008353,\n",
    "    \"보험\": 0.022823,\n",
    "    \"에너지화학\": -0.00443,\n",
    "    \"은행\": 0.05463358,\n",
    "    \"자동차\": 0.00114,\n",
    "    \"정보기술\": 0.016212,\n",
    "    \"증권\": 0.020352,\n",
    "    \"철강\": 0.003901,\n",
    "    \"건설\": 0.007224,\n",
    "    \"경기소비재\": 0.007339,\n",
    "    \"기계장비\": 0.018176,\n",
    "    \"반도체\": 0.019209\n",
    "}\n",
    "\n",
    "# 실제 수익률을 데이터프레임으로 변환\n",
    "actual_returns_df = pd.DataFrame.from_dict(actual_returns, orient='index', columns=['ActualReturns'])\n",
    "\n",
    "# 가중치와 실제 수익률 결합\n",
    "weights_table_with_returns = weights_table.merge(actual_returns_df, left_index=True, right_index=True)\n",
    "\n",
    "# 각 포트폴리오별 성과 계산\n",
    "portfolio_performance = weights_table_with_returns.drop(columns=[\"ActualReturns\"]).multiply(weights_table_with_returns[\"ActualReturns\"], axis=0).sum()\n",
    "\n",
    "# 결과 출력\n",
    "print(portfolio_performance)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "48f50fb0",
   "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>Portfolio Return</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>헬스케어</th>\n",
       "      <td>-0.002000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>방송통신</th>\n",
       "      <td>0.008353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>보험</th>\n",
       "      <td>0.022823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>에너지화학</th>\n",
       "      <td>-0.004430</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>은행</th>\n",
       "      <td>0.054634</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>자동차</th>\n",
       "      <td>0.001140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>정보기술</th>\n",
       "      <td>0.016212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>증권</th>\n",
       "      <td>0.020352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>철강</th>\n",
       "      <td>0.003901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>건설</th>\n",
       "      <td>0.007224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>경기소비재</th>\n",
       "      <td>0.007339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>기계장비</th>\n",
       "      <td>0.018176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>반도체</th>\n",
       "      <td>0.019209</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Portfolio Return\n",
       "헬스케어          -0.002000\n",
       "방송통신           0.008353\n",
       "보험             0.022823\n",
       "에너지화학         -0.004430\n",
       "은행             0.054634\n",
       "자동차            0.001140\n",
       "정보기술           0.016212\n",
       "증권             0.020352\n",
       "철강             0.003901\n",
       "건설             0.007224\n",
       "경기소비재          0.007339\n",
       "기계장비           0.018176\n",
       "반도체            0.019209"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# 실제 수익률 데이터 (이미지에서 제공된 실제 수익률)\n",
    "actual_returns = {\n",
    "    \"헬스케어\": -0.002,\n",
    "    \"방송통신\": 0.008353,\n",
    "    \"보험\": 0.022823,\n",
    "    \"에너지화학\": -0.00443,\n",
    "    \"은행\": 0.05463358,\n",
    "    \"자동차\": 0.00114,\n",
    "    \"정보기술\": 0.016212,\n",
    "    \"증권\": 0.020352,\n",
    "    \"철강\": 0.003901,\n",
    "    \"건설\": 0.007224,\n",
    "    \"경기소비재\": 0.007339,\n",
    "    \"기계장비\": 0.018176,\n",
    "    \"반도체\": 0.019209\n",
    "}\n",
    "\n",
    "# 실제 수익률을 데이터프레임으로 변환\n",
    "actual_returns_df = pd.DataFrame.from_dict(actual_returns, orient='index', columns=['Portfolio Return'])\n",
    "\n",
    "# 포트폴리오 이름을 한국어로 바꾸는 매핑\n",
    "sector_name_mapping = {\n",
    "    \"자동차\": \"자동차\",\n",
    "    \"은행\": \"은행\",\n",
    "    \"건설\": \"건설\",\n",
    "    \"경기소비재\": \"경기소비재\",\n",
    "    \"에너지화학\": \"에너지화학\",\n",
    "    \"헬스케어\": \"헬스케어\",\n",
    "    \"정보기술\": \"정보기술\",\n",
    "    \"보험\": \"보험\",\n",
    "    \"기계장비\": \"기계장비\",\n",
    "    \"증권\": \"증권\",\n",
    "    \"반도체\": \"반도체\",\n",
    "    \"방송통신\": \"방송통신\",\n",
    "    \"철강\": \"철강\"\n",
    "}\n",
    "\n",
    "# Sector 이름을 한국어로 변경\n",
    "actual_returns_df['Sector'] = actual_returns_df.index\n",
    "\n",
    "# 결과 출력: 영어 이름을 제외하고 한국어 이름만 출력\n",
    "actual_returns_df['Sector'] = actual_returns_df['Sector'].map(sector_name_mapping)\n",
    "\n",
    "# Display results without English names\n",
    "actual_returns_df[[ 'Portfolio Return']]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6eb187b3",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}