20181024 Portfolio.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make Moon 처음부터 다시"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "with open('raw_data_20181008.pickle', 'rb') as handle:\n",
    "    raw_data = pickle.load(handle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['AK홀딩스', 'BGF', 'BGF리테일', 'BNK금융지주', 'CJ', 'CJ CGV', 'CJ대한통운', 'CJ제일제당', 'DB손해보험', 'DB하이텍', 'GKL', 'GS', 'GS건설', 'GS리테일', 'HDC', 'HDC현대산업개발', 'JW중외제약', 'JW홀딩스', 'KB금융', 'KCC', 'KT', 'KT&G', 'LF', 'LG', 'LG디스플레이', 'LG상사', 'LG생활건강', 'LG유플러스', 'LG이노텍', 'LG전자', 'LG하우시스', 'LG화학', 'LIG넥스원', 'LS', 'LS산전', 'NAVER', 'NH투자증권', 'OCI', 'POSCO', 'S&T모티브', 'S-Oil', 'SBS', 'SK', 'SKC', 'SK네트웍스', 'SK디스커버리', 'SK이노베이션', 'SK케미칼', 'SK텔레콤', 'SK하이닉스', 'SPC삼립', '강원랜드', '고려아연', '고려제강', '금호석유', '금호타이어', '기아차', '기업은행', '남양유업', '남해화학', '넥센타이어', '넷마블', '녹십자', '녹십자홀딩스', '농심', '대교', '대덕전자', '대림산업', '대상', '대우건설', '대우조선해양', '대웅제약', '대한유화', '대한항공', '동국제강', '동서', '동아쏘시오홀딩스', '동아에스티', '동양', '동원F&B', '동원시스템즈', '두산', '두산밥캣', '두산인프라코어', '두산중공업', '락앤락', '롯데쇼핑', '롯데정밀화학', '롯데지주', '롯데칠성', '롯데케미칼', '롯데푸드', '롯데하이마트', '만도', '메리츠종금증권', '무학', '미래에셋대우', '보령제약', '부광약품', '빙그레', '삼성SDI', '삼성물산', '삼성바이오로직스', '삼성생명', '삼성에스디에스', '삼성엔지니어링', '삼성전기', '삼성전자', '삼성중공업', '삼성증권', '삼성카드', '삼성화재', '삼양사', '삼양홀딩스', '세방전지', '세아베스틸', '세아제강', '셀트리온', '신세계', '신한지주', '쌍용양회', '쌍용차', '아모레G', '아모레퍼시픽', '아이에스동서', '에스엘', '에스원', '엔씨소프트', '영원무역', '영진약품', '영풍', '오뚜기', '오리온', '오리온홀딩스', '우리은행', '유니드', '유한양행', '이노션', '이마트', '일양약품', '일진머티리얼즈', '제일기획', '종근당', '카카오', '코스맥스', '코오롱인더', '코웨이', '쿠쿠홀딩스', '태광산업', '팜스코', '팬오션', '포스코대우', '풍산', '하나금융지주', '하이트진로', '한국가스공사', '한국금융지주', '한국단자', '한국쉘석유', '한국전력', '한국콜마', '한국타이어', '한국타이어월드와이드', '한국항공우주', '한라홀딩스', '한미사이언스', '한미약품', '한샘', '한섬', '한세실업', '한솔케미칼', '한온시스템', '한올바이오파마', '한일시멘트', '한전KPS', '한전기술', '한진중공업', '한화', '한화생명', '한화에어로스페이스', '한화케미칼', '현대건설', '현대그린푸드', '현대글로비스', '현대로템', '현대리바트', '현대모비스', '현대미포조선', '현대백화점', '현대엘리베이', '현대위아', '현대제철', '현대중공업', '현대중공업지주', '현대차', '현대해상', '현대홈쇼핑', '호텔신라', '효성', '효성중공업', '후성', '휴켐스'])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Open         0\n",
       "High         0\n",
       "Low          0\n",
       "Close        0\n",
       "Adj Close    0\n",
       "Volume       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[:\"2013-07-01\"].isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data[stock].loc[:\"2013-07-01\"].isnull().sum().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "BGF\n",
      "BGF리테일\n",
      "HDC현대산업개발\n",
      "LIG넥스원\n",
      "SK케미칼\n",
      "넷마블\n",
      "동아에스티\n",
      "두산밥캣\n",
      "만도\n",
      "삼성물산\n",
      "삼성바이오로직스\n",
      "삼성에스디에스\n",
      "오리온\n",
      "이노션\n",
      "종근당\n",
      "코스맥스\n",
      "쿠쿠홀딩스\n",
      "현대로템\n",
      "현대중공업지주\n",
      "효성중공업\n"
     ]
    }
   ],
   "source": [
    "copy_keys = list(raw_data.keys())\n",
    "for stock in copy_keys:\n",
    "    if len(raw_data[stock].loc[:'2013-01-01']) < 1:\n",
    "        del raw_data[stock]\n",
    "        print(stock)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "182"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(raw_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>16060.0</td>\n",
       "      <td>16180.0</td>\n",
       "      <td>16000.0</td>\n",
       "      <td>16180.0</td>\n",
       "      <td>5.953252</td>\n",
       "      <td>11950800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>16520.0</td>\n",
       "      <td>16580.0</td>\n",
       "      <td>16300.0</td>\n",
       "      <td>16440.0</td>\n",
       "      <td>6.048919</td>\n",
       "      <td>27925850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>16580.0</td>\n",
       "      <td>16820.0</td>\n",
       "      <td>16520.0</td>\n",
       "      <td>16820.0</td>\n",
       "      <td>6.188735</td>\n",
       "      <td>22948850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>16820.0</td>\n",
       "      <td>16820.0</td>\n",
       "      <td>16260.0</td>\n",
       "      <td>16260.0</td>\n",
       "      <td>5.982689</td>\n",
       "      <td>22107950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>16400.0</td>\n",
       "      <td>16420.0</td>\n",
       "      <td>16120.0</td>\n",
       "      <td>16420.0</td>\n",
       "      <td>6.041558</td>\n",
       "      <td>14777550</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close  Adj Close    Volume\n",
       "Date                                                               \n",
       "2010-01-04  16060.0  16180.0  16000.0  16180.0   5.953252  11950800\n",
       "2010-01-05  16520.0  16580.0  16300.0  16440.0   6.048919  27925850\n",
       "2010-01-06  16580.0  16820.0  16520.0  16820.0   6.188735  22948850\n",
       "2010-01-07  16820.0  16820.0  16260.0  16260.0   5.982689  22107950\n",
       "2010-01-08  16400.0  16420.0  16120.0  16420.0   6.041558  14777550"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_data['삼성전자'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# stock에서 Volume==0인 index, stock에서 제외\n",
    "for key, df in raw_data.items():\n",
    "    raw_data[key] = df.drop(df.index[np.where(df.Volume==0)[0]], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# feature 생성\n",
    "for key, df in raw_data.items():\n",
    "    df[\"pct_change\"] = df.Close.pct_change()\n",
    "    for i in range(3, 31, 2):\n",
    "        df[\"close_ma_{}\".format(i)] = df.Close.rolling(window = i).mean()\n",
    "        df[\"volume_ma_{}\".format(i)] = df.Volume.rolling(window = i).mean()\n",
    "    for i in [7, 21, 30, 60, 90, 91, 100, 120]:\n",
    "        df[\"his_vol_{}\".format(i)] = df[\"pct_change\"].rolling(window = i).std()*(252**0.5)\n",
    "    for i in [1, 3, 5, 7, 10, 12, 14]:\n",
    "        df['returnsCC{}'.format(i) ]= np.log(df.Open / df.Close.shift(i))\n",
    "        df['returnsOO{}'.format(i) ] = np.log(df.Open / df.Open.shift(i))\n",
    "        df['returnsCC{}'.format(i) ]= np.log(df.Close / df.Close.shift(i))\n",
    "        df['returnsOC{}'.format(i) ] = np.log(df.Close / df.Open.shift(i))\n",
    "    for i in [1, 3, 5, 7, 10]:\n",
    "        df['Y3_{}'.format(i)] = np.where(df.Close.rolling(i).mean() - df.Close.shift(1).rolling(i).mean()>=0,1,0)\n",
    "        for shift in [1, 2, 3, 4, 5]:\n",
    "            df['sh{}_Y3_{}'.format(shift, i)] = df['Y3_{}'.format(i)].shift(-1*shift)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "data={}\n",
    "validation_={}\n",
    "for stock, df in raw_data.items():\n",
    "    data[stock] = df.loc['2013-07-01':'2018-07-01']\n",
    "    validation_[stock] = df.loc['2018-06-20':]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>pct_change</th>\n",
       "      <th>close_ma_3</th>\n",
       "      <th>volume_ma_3</th>\n",
       "      <th>close_ma_5</th>\n",
       "      <th>...</th>\n",
       "      <th>sh2_Y3_7</th>\n",
       "      <th>sh3_Y3_7</th>\n",
       "      <th>sh4_Y3_7</th>\n",
       "      <th>sh5_Y3_7</th>\n",
       "      <th>Y3_10</th>\n",
       "      <th>sh1_Y3_10</th>\n",
       "      <th>sh2_Y3_10</th>\n",
       "      <th>sh3_Y3_10</th>\n",
       "      <th>sh4_Y3_10</th>\n",
       "      <th>sh5_Y3_10</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-06-20</th>\n",
       "      <td>47450.0</td>\n",
       "      <td>47600.0</td>\n",
       "      <td>46850.0</td>\n",
       "      <td>47000.0</td>\n",
       "      <td>46653.011719</td>\n",
       "      <td>12959316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>46866.666667</td>\n",
       "      <td>1.494639e+07</td>\n",
       "      <td>47290.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-21</th>\n",
       "      <td>47900.0</td>\n",
       "      <td>47900.0</td>\n",
       "      <td>47050.0</td>\n",
       "      <td>47050.0</td>\n",
       "      <td>46702.644531</td>\n",
       "      <td>10015541</td>\n",
       "      <td>0.001064</td>\n",
       "      <td>47016.666667</td>\n",
       "      <td>1.273094e+07</td>\n",
       "      <td>47060.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-22</th>\n",
       "      <td>47000.0</td>\n",
       "      <td>47250.0</td>\n",
       "      <td>46200.0</td>\n",
       "      <td>47250.0</td>\n",
       "      <td>46901.167969</td>\n",
       "      <td>10298006</td>\n",
       "      <td>0.004251</td>\n",
       "      <td>47100.000000</td>\n",
       "      <td>1.109095e+07</td>\n",
       "      <td>46980.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-25</th>\n",
       "      <td>47050.0</td>\n",
       "      <td>47050.0</td>\n",
       "      <td>46150.0</td>\n",
       "      <td>46650.0</td>\n",
       "      <td>46305.597656</td>\n",
       "      <td>10587711</td>\n",
       "      <td>-0.012698</td>\n",
       "      <td>46983.333333</td>\n",
       "      <td>1.030042e+07</td>\n",
       "      <td>46990.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-26</th>\n",
       "      <td>45900.0</td>\n",
       "      <td>47300.0</td>\n",
       "      <td>45900.0</td>\n",
       "      <td>47000.0</td>\n",
       "      <td>46653.011719</td>\n",
       "      <td>11223166</td>\n",
       "      <td>0.007503</td>\n",
       "      <td>46966.666667</td>\n",
       "      <td>1.070296e+07</td>\n",
       "      <td>46990.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 94 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close     Adj Close    Volume  \\\n",
       "Date                                                                     \n",
       "2018-06-20  47450.0  47600.0  46850.0  47000.0  46653.011719  12959316   \n",
       "2018-06-21  47900.0  47900.0  47050.0  47050.0  46702.644531  10015541   \n",
       "2018-06-22  47000.0  47250.0  46200.0  47250.0  46901.167969  10298006   \n",
       "2018-06-25  47050.0  47050.0  46150.0  46650.0  46305.597656  10587711   \n",
       "2018-06-26  45900.0  47300.0  45900.0  47000.0  46653.011719  11223166   \n",
       "\n",
       "            pct_change    close_ma_3   volume_ma_3  close_ma_5    ...      \\\n",
       "Date                                                              ...       \n",
       "2018-06-20    0.000000  46866.666667  1.494639e+07     47290.0    ...       \n",
       "2018-06-21    0.001064  47016.666667  1.273094e+07     47060.0    ...       \n",
       "2018-06-22    0.004251  47100.000000  1.109095e+07     46980.0    ...       \n",
       "2018-06-25   -0.012698  46983.333333  1.030042e+07     46990.0    ...       \n",
       "2018-06-26    0.007503  46966.666667  1.070296e+07     46990.0    ...       \n",
       "\n",
       "            sh2_Y3_7  sh3_Y3_7  sh4_Y3_7  sh5_Y3_7  Y3_10  sh1_Y3_10  \\\n",
       "Date                                                                   \n",
       "2018-06-20       0.0       0.0       0.0       1.0      0        0.0   \n",
       "2018-06-21       0.0       0.0       1.0       0.0      0        0.0   \n",
       "2018-06-22       0.0       1.0       0.0       0.0      0        0.0   \n",
       "2018-06-25       1.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-26       0.0       0.0       0.0       0.0      0        0.0   \n",
       "\n",
       "            sh2_Y3_10  sh3_Y3_10  sh4_Y3_10  sh5_Y3_10  \n",
       "Date                                                    \n",
       "2018-06-20        0.0        0.0        0.0        0.0  \n",
       "2018-06-21        0.0        0.0        0.0        0.0  \n",
       "2018-06-22        0.0        0.0        0.0        0.0  \n",
       "2018-06-25        0.0        0.0        0.0        0.0  \n",
       "2018-06-26        0.0        0.0        0.0        0.0  \n",
       "\n",
       "[5 rows x 94 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "validation_['삼성전자'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = [i for i in data['삼성전자'].columns if i.find('sh') == -1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run moon_code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "train, test = multi_train_test_split(data, 0.8, dtrain=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
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       "      <th>Adj Close</th>\n",
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       "      <th>close_ma_5</th>\n",
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       "      <th>Date</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-06-20</th>\n",
       "      <td>47240.0</td>\n",
       "      <td>48140.0</td>\n",
       "      <td>47220.0</td>\n",
       "      <td>48140.0</td>\n",
       "      <td>12429.440430</td>\n",
       "      <td>15045000</td>\n",
       "      <td>0.033935</td>\n",
       "      <td>46760.000000</td>\n",
       "      <td>1.458412e+07</td>\n",
       "      <td>46264.0</td>\n",
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       "    <tr>\n",
       "      <th>2017-06-21</th>\n",
       "      <td>47740.0</td>\n",
       "      <td>48120.0</td>\n",
       "      <td>47480.0</td>\n",
       "      <td>47480.0</td>\n",
       "      <td>12259.031250</td>\n",
       "      <td>9973650</td>\n",
       "      <td>-0.013710</td>\n",
       "      <td>47393.333333</td>\n",
       "      <td>1.210752e+07</td>\n",
       "      <td>46688.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2017-06-22</th>\n",
       "      <td>47960.0</td>\n",
       "      <td>48080.0</td>\n",
       "      <td>47720.0</td>\n",
       "      <td>47960.0</td>\n",
       "      <td>12382.965820</td>\n",
       "      <td>11455800</td>\n",
       "      <td>0.010110</td>\n",
       "      <td>47860.000000</td>\n",
       "      <td>1.215815e+07</td>\n",
       "      <td>47144.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2017-06-23</th>\n",
       "      <td>47600.0</td>\n",
       "      <td>47780.0</td>\n",
       "      <td>47420.0</td>\n",
       "      <td>47620.0</td>\n",
       "      <td>12295.179688</td>\n",
       "      <td>9515100</td>\n",
       "      <td>-0.007089</td>\n",
       "      <td>47686.666667</td>\n",
       "      <td>1.031485e+07</td>\n",
       "      <td>47552.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2017-06-26</th>\n",
       "      <td>47520.0</td>\n",
       "      <td>48360.0</td>\n",
       "      <td>47520.0</td>\n",
       "      <td>48280.0</td>\n",
       "      <td>12465.586914</td>\n",
       "      <td>8552800</td>\n",
       "      <td>0.013860</td>\n",
       "      <td>47953.333333</td>\n",
       "      <td>9.841233e+06</td>\n",
       "      <td>47896.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-27</th>\n",
       "      <td>48220.0</td>\n",
       "      <td>48400.0</td>\n",
       "      <td>47900.0</td>\n",
       "      <td>48300.0</td>\n",
       "      <td>12470.751953</td>\n",
       "      <td>9616750</td>\n",
       "      <td>0.000414</td>\n",
       "      <td>48066.666667</td>\n",
       "      <td>9.228217e+06</td>\n",
       "      <td>47928.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2017-06-28</th>\n",
       "      <td>47600.0</td>\n",
       "      <td>48000.0</td>\n",
       "      <td>47560.0</td>\n",
       "      <td>47700.0</td>\n",
       "      <td>12315.835938</td>\n",
       "      <td>9572500</td>\n",
       "      <td>-0.012422</td>\n",
       "      <td>48093.333333</td>\n",
       "      <td>9.247350e+06</td>\n",
       "      <td>47972.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2017-06-29</th>\n",
       "      <td>48040.0</td>\n",
       "      <td>48320.0</td>\n",
       "      <td>47940.0</td>\n",
       "      <td>47940.0</td>\n",
       "      <td>14506.661133</td>\n",
       "      <td>8306550</td>\n",
       "      <td>0.005031</td>\n",
       "      <td>47980.000000</td>\n",
       "      <td>9.165267e+06</td>\n",
       "      <td>47968.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-06-30</th>\n",
       "      <td>47500.0</td>\n",
       "      <td>47620.0</td>\n",
       "      <td>47100.0</td>\n",
       "      <td>47540.0</td>\n",
       "      <td>14385.622070</td>\n",
       "      <td>11877550</td>\n",
       "      <td>-0.008344</td>\n",
       "      <td>47726.666667</td>\n",
       "      <td>9.918867e+06</td>\n",
       "      <td>47952.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-03</th>\n",
       "      <td>47500.0</td>\n",
       "      <td>47780.0</td>\n",
       "      <td>47120.0</td>\n",
       "      <td>47220.0</td>\n",
       "      <td>14288.789063</td>\n",
       "      <td>6805550</td>\n",
       "      <td>-0.006731</td>\n",
       "      <td>47566.666667</td>\n",
       "      <td>8.996550e+06</td>\n",
       "      <td>47740.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-04</th>\n",
       "      <td>47160.0</td>\n",
       "      <td>47400.0</td>\n",
       "      <td>46900.0</td>\n",
       "      <td>47000.0</td>\n",
       "      <td>14222.215820</td>\n",
       "      <td>7961000</td>\n",
       "      <td>-0.004659</td>\n",
       "      <td>47253.333333</td>\n",
       "      <td>8.881367e+06</td>\n",
       "      <td>47480.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
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       "    <tr>\n",
       "      <th>2017-07-05</th>\n",
       "      <td>46820.0</td>\n",
       "      <td>47680.0</td>\n",
       "      <td>46780.0</td>\n",
       "      <td>47580.0</td>\n",
       "      <td>14397.724609</td>\n",
       "      <td>10640250</td>\n",
       "      <td>0.012340</td>\n",
       "      <td>47266.666667</td>\n",
       "      <td>8.468933e+06</td>\n",
       "      <td>47456.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-06</th>\n",
       "      <td>48000.0</td>\n",
       "      <td>48100.0</td>\n",
       "      <td>47720.0</td>\n",
       "      <td>48060.0</td>\n",
       "      <td>14542.972656</td>\n",
       "      <td>10923050</td>\n",
       "      <td>0.010088</td>\n",
       "      <td>47546.666667</td>\n",
       "      <td>9.841433e+06</td>\n",
       "      <td>47480.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-07</th>\n",
       "      <td>47740.0</td>\n",
       "      <td>48120.0</td>\n",
       "      <td>47620.0</td>\n",
       "      <td>47860.0</td>\n",
       "      <td>14482.453125</td>\n",
       "      <td>8131900</td>\n",
       "      <td>-0.004161</td>\n",
       "      <td>47833.333333</td>\n",
       "      <td>9.898400e+06</td>\n",
       "      <td>47544.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-10</th>\n",
       "      <td>48500.0</td>\n",
       "      <td>48900.0</td>\n",
       "      <td>48320.0</td>\n",
       "      <td>48660.0</td>\n",
       "      <td>14724.534180</td>\n",
       "      <td>10792750</td>\n",
       "      <td>0.016715</td>\n",
       "      <td>48193.333333</td>\n",
       "      <td>9.949233e+06</td>\n",
       "      <td>47832.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-11</th>\n",
       "      <td>48640.0</td>\n",
       "      <td>49000.0</td>\n",
       "      <td>48280.0</td>\n",
       "      <td>49000.0</td>\n",
       "      <td>14827.418945</td>\n",
       "      <td>9717800</td>\n",
       "      <td>0.006987</td>\n",
       "      <td>48506.666667</td>\n",
       "      <td>9.547483e+06</td>\n",
       "      <td>48232.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-12</th>\n",
       "      <td>49000.0</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>48840.0</td>\n",
       "      <td>49880.0</td>\n",
       "      <td>15093.707031</td>\n",
       "      <td>9486150</td>\n",
       "      <td>0.017959</td>\n",
       "      <td>49180.000000</td>\n",
       "      <td>9.998900e+06</td>\n",
       "      <td>48692.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-13</th>\n",
       "      <td>50080.0</td>\n",
       "      <td>50940.0</td>\n",
       "      <td>50040.0</td>\n",
       "      <td>50560.0</td>\n",
       "      <td>15299.475586</td>\n",
       "      <td>16034150</td>\n",
       "      <td>0.013633</td>\n",
       "      <td>49813.333333</td>\n",
       "      <td>1.174603e+07</td>\n",
       "      <td>49192.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-14</th>\n",
       "      <td>51000.0</td>\n",
       "      <td>51080.0</td>\n",
       "      <td>50420.0</td>\n",
       "      <td>50480.0</td>\n",
       "      <td>15275.266602</td>\n",
       "      <td>8239000</td>\n",
       "      <td>-0.001582</td>\n",
       "      <td>50306.666667</td>\n",
       "      <td>1.125310e+07</td>\n",
       "      <td>49716.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-17</th>\n",
       "      <td>50900.0</td>\n",
       "      <td>51020.0</td>\n",
       "      <td>50520.0</td>\n",
       "      <td>50640.0</td>\n",
       "      <td>15323.682617</td>\n",
       "      <td>8976100</td>\n",
       "      <td>0.003170</td>\n",
       "      <td>50560.000000</td>\n",
       "      <td>1.108308e+07</td>\n",
       "      <td>50112.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-18</th>\n",
       "      <td>50420.0</td>\n",
       "      <td>50880.0</td>\n",
       "      <td>50360.0</td>\n",
       "      <td>50840.0</td>\n",
       "      <td>15384.204102</td>\n",
       "      <td>7084450</td>\n",
       "      <td>0.003949</td>\n",
       "      <td>50653.333333</td>\n",
       "      <td>8.099850e+06</td>\n",
       "      <td>50480.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-19</th>\n",
       "      <td>50620.0</td>\n",
       "      <td>50820.0</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>50740.0</td>\n",
       "      <td>15353.942383</td>\n",
       "      <td>11157500</td>\n",
       "      <td>-0.001967</td>\n",
       "      <td>50740.000000</td>\n",
       "      <td>9.072683e+06</td>\n",
       "      <td>50652.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-20</th>\n",
       "      <td>50760.0</td>\n",
       "      <td>51320.0</td>\n",
       "      <td>50560.0</td>\n",
       "      <td>51200.0</td>\n",
       "      <td>15493.139648</td>\n",
       "      <td>8367600</td>\n",
       "      <td>0.009066</td>\n",
       "      <td>50926.666667</td>\n",
       "      <td>8.869850e+06</td>\n",
       "      <td>50780.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-21</th>\n",
       "      <td>50860.0</td>\n",
       "      <td>51160.0</td>\n",
       "      <td>50520.0</td>\n",
       "      <td>51080.0</td>\n",
       "      <td>15456.826172</td>\n",
       "      <td>8449050</td>\n",
       "      <td>-0.002344</td>\n",
       "      <td>51006.666667</td>\n",
       "      <td>9.324717e+06</td>\n",
       "      <td>50900.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-24</th>\n",
       "      <td>50700.0</td>\n",
       "      <td>51000.0</td>\n",
       "      <td>50620.0</td>\n",
       "      <td>50860.0</td>\n",
       "      <td>15390.253906</td>\n",
       "      <td>7099750</td>\n",
       "      <td>-0.004307</td>\n",
       "      <td>51046.666667</td>\n",
       "      <td>7.972133e+06</td>\n",
       "      <td>50944.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-25</th>\n",
       "      <td>50500.0</td>\n",
       "      <td>50760.0</td>\n",
       "      <td>49940.0</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>15130.018555</td>\n",
       "      <td>10810600</td>\n",
       "      <td>-0.016909</td>\n",
       "      <td>50646.666667</td>\n",
       "      <td>8.786467e+06</td>\n",
       "      <td>50776.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-26</th>\n",
       "      <td>49600.0</td>\n",
       "      <td>50020.0</td>\n",
       "      <td>49300.0</td>\n",
       "      <td>49840.0</td>\n",
       "      <td>15081.602539</td>\n",
       "      <td>11224800</td>\n",
       "      <td>-0.003200</td>\n",
       "      <td>50233.333333</td>\n",
       "      <td>9.711717e+06</td>\n",
       "      <td>50596.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-27</th>\n",
       "      <td>50000.0</td>\n",
       "      <td>50640.0</td>\n",
       "      <td>49560.0</td>\n",
       "      <td>49800.0</td>\n",
       "      <td>15069.498047</td>\n",
       "      <td>11449500</td>\n",
       "      <td>-0.000803</td>\n",
       "      <td>49880.000000</td>\n",
       "      <td>1.116163e+07</td>\n",
       "      <td>50316.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-28</th>\n",
       "      <td>49800.0</td>\n",
       "      <td>49800.0</td>\n",
       "      <td>47380.0</td>\n",
       "      <td>47760.0</td>\n",
       "      <td>14452.192383</td>\n",
       "      <td>26168300</td>\n",
       "      <td>-0.040964</td>\n",
       "      <td>49133.333333</td>\n",
       "      <td>1.628087e+07</td>\n",
       "      <td>49652.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-07-31</th>\n",
       "      <td>47420.0</td>\n",
       "      <td>48240.0</td>\n",
       "      <td>46920.0</td>\n",
       "      <td>48200.0</td>\n",
       "      <td>14585.337891</td>\n",
       "      <td>12701400</td>\n",
       "      <td>0.009213</td>\n",
       "      <td>48586.666667</td>\n",
       "      <td>1.677307e+07</td>\n",
       "      <td>49120.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-16</th>\n",
       "      <td>49200.0</td>\n",
       "      <td>50200.0</td>\n",
       "      <td>49150.0</td>\n",
       "      <td>49850.0</td>\n",
       "      <td>49481.972656</td>\n",
       "      <td>15918683</td>\n",
       "      <td>0.013211</td>\n",
       "      <td>49716.666667</td>\n",
       "      <td>1.651237e+07</td>\n",
       "      <td>50410.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-17</th>\n",
       "      <td>50300.0</td>\n",
       "      <td>50500.0</td>\n",
       "      <td>49400.0</td>\n",
       "      <td>49400.0</td>\n",
       "      <td>49035.296875</td>\n",
       "      <td>10365440</td>\n",
       "      <td>-0.009027</td>\n",
       "      <td>49483.333333</td>\n",
       "      <td>1.499776e+07</td>\n",
       "      <td>49970.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-18</th>\n",
       "      <td>49900.0</td>\n",
       "      <td>49900.0</td>\n",
       "      <td>49350.0</td>\n",
       "      <td>49500.0</td>\n",
       "      <td>49134.558594</td>\n",
       "      <td>6706570</td>\n",
       "      <td>0.002024</td>\n",
       "      <td>49583.333333</td>\n",
       "      <td>1.099690e+07</td>\n",
       "      <td>49610.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-21</th>\n",
       "      <td>49650.0</td>\n",
       "      <td>50200.0</td>\n",
       "      <td>49100.0</td>\n",
       "      <td>50000.0</td>\n",
       "      <td>49630.867188</td>\n",
       "      <td>9020998</td>\n",
       "      <td>0.010101</td>\n",
       "      <td>49633.333333</td>\n",
       "      <td>8.697669e+06</td>\n",
       "      <td>49590.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-23</th>\n",
       "      <td>50600.0</td>\n",
       "      <td>52000.0</td>\n",
       "      <td>50400.0</td>\n",
       "      <td>51800.0</td>\n",
       "      <td>51417.578125</td>\n",
       "      <td>17095490</td>\n",
       "      <td>0.036000</td>\n",
       "      <td>50433.333333</td>\n",
       "      <td>1.094102e+07</td>\n",
       "      <td>50110.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-24</th>\n",
       "      <td>52000.0</td>\n",
       "      <td>52000.0</td>\n",
       "      <td>51100.0</td>\n",
       "      <td>51400.0</td>\n",
       "      <td>51020.531250</td>\n",
       "      <td>8289275</td>\n",
       "      <td>-0.007722</td>\n",
       "      <td>51066.666667</td>\n",
       "      <td>1.146859e+07</td>\n",
       "      <td>50420.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-25</th>\n",
       "      <td>51000.0</td>\n",
       "      <td>52800.0</td>\n",
       "      <td>50800.0</td>\n",
       "      <td>52700.0</td>\n",
       "      <td>52310.933594</td>\n",
       "      <td>15207266</td>\n",
       "      <td>0.025292</td>\n",
       "      <td>51966.666667</td>\n",
       "      <td>1.353068e+07</td>\n",
       "      <td>51080.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-28</th>\n",
       "      <td>52500.0</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>52000.0</td>\n",
       "      <td>52300.0</td>\n",
       "      <td>51913.886719</td>\n",
       "      <td>9787820</td>\n",
       "      <td>-0.007590</td>\n",
       "      <td>52133.333333</td>\n",
       "      <td>1.109479e+07</td>\n",
       "      <td>51640.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-29</th>\n",
       "      <td>52200.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>51300.0</td>\n",
       "      <td>51300.0</td>\n",
       "      <td>50921.269531</td>\n",
       "      <td>8480437</td>\n",
       "      <td>-0.019120</td>\n",
       "      <td>52100.000000</td>\n",
       "      <td>1.115851e+07</td>\n",
       "      <td>51900.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-30</th>\n",
       "      <td>51300.0</td>\n",
       "      <td>51500.0</td>\n",
       "      <td>49100.0</td>\n",
       "      <td>49500.0</td>\n",
       "      <td>49134.558594</td>\n",
       "      <td>20498098</td>\n",
       "      <td>-0.035088</td>\n",
       "      <td>51033.333333</td>\n",
       "      <td>1.292212e+07</td>\n",
       "      <td>51440.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-31</th>\n",
       "      <td>50400.0</td>\n",
       "      <td>50800.0</td>\n",
       "      <td>49850.0</td>\n",
       "      <td>50700.0</td>\n",
       "      <td>50325.699219</td>\n",
       "      <td>63491109</td>\n",
       "      <td>0.024242</td>\n",
       "      <td>50500.000000</td>\n",
       "      <td>3.082321e+07</td>\n",
       "      <td>51300.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-01</th>\n",
       "      <td>50500.0</td>\n",
       "      <td>51700.0</td>\n",
       "      <td>49950.0</td>\n",
       "      <td>51300.0</td>\n",
       "      <td>50921.269531</td>\n",
       "      <td>13038499</td>\n",
       "      <td>0.011834</td>\n",
       "      <td>50500.000000</td>\n",
       "      <td>3.234257e+07</td>\n",
       "      <td>51020.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-04</th>\n",
       "      <td>50800.0</td>\n",
       "      <td>51200.0</td>\n",
       "      <td>50700.0</td>\n",
       "      <td>51100.0</td>\n",
       "      <td>50722.746094</td>\n",
       "      <td>9767171</td>\n",
       "      <td>-0.003899</td>\n",
       "      <td>51033.333333</td>\n",
       "      <td>2.876559e+07</td>\n",
       "      <td>50780.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-05</th>\n",
       "      <td>51100.0</td>\n",
       "      <td>51400.0</td>\n",
       "      <td>50400.0</td>\n",
       "      <td>51300.0</td>\n",
       "      <td>50921.269531</td>\n",
       "      <td>9144100</td>\n",
       "      <td>0.003914</td>\n",
       "      <td>51233.333333</td>\n",
       "      <td>1.064992e+07</td>\n",
       "      <td>50780.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-07</th>\n",
       "      <td>51800.0</td>\n",
       "      <td>51800.0</td>\n",
       "      <td>50500.0</td>\n",
       "      <td>50600.0</td>\n",
       "      <td>50226.437500</td>\n",
       "      <td>13590016</td>\n",
       "      <td>-0.013645</td>\n",
       "      <td>51000.000000</td>\n",
       "      <td>1.083376e+07</td>\n",
       "      <td>51000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-08</th>\n",
       "      <td>50200.0</td>\n",
       "      <td>50400.0</td>\n",
       "      <td>49600.0</td>\n",
       "      <td>49650.0</td>\n",
       "      <td>49283.449219</td>\n",
       "      <td>16951706</td>\n",
       "      <td>-0.018775</td>\n",
       "      <td>50516.666667</td>\n",
       "      <td>1.322861e+07</td>\n",
       "      <td>50790.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-11</th>\n",
       "      <td>49750.0</td>\n",
       "      <td>50300.0</td>\n",
       "      <td>49350.0</td>\n",
       "      <td>49900.0</td>\n",
       "      <td>49531.605469</td>\n",
       "      <td>10571312</td>\n",
       "      <td>0.005035</td>\n",
       "      <td>50050.000000</td>\n",
       "      <td>1.370434e+07</td>\n",
       "      <td>50510.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-12</th>\n",
       "      <td>49700.0</td>\n",
       "      <td>49800.0</td>\n",
       "      <td>49250.0</td>\n",
       "      <td>49400.0</td>\n",
       "      <td>49035.296875</td>\n",
       "      <td>12110569</td>\n",
       "      <td>-0.010020</td>\n",
       "      <td>49650.000000</td>\n",
       "      <td>1.321120e+07</td>\n",
       "      <td>50170.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-14</th>\n",
       "      <td>49000.0</td>\n",
       "      <td>49000.0</td>\n",
       "      <td>48200.0</td>\n",
       "      <td>48200.0</td>\n",
       "      <td>47844.156250</td>\n",
       "      <td>20971729</td>\n",
       "      <td>-0.024291</td>\n",
       "      <td>49166.666667</td>\n",
       "      <td>1.455120e+07</td>\n",
       "      <td>49550.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-15</th>\n",
       "      <td>48500.0</td>\n",
       "      <td>48700.0</td>\n",
       "      <td>47650.0</td>\n",
       "      <td>47650.0</td>\n",
       "      <td>47298.214844</td>\n",
       "      <td>17080892</td>\n",
       "      <td>-0.011411</td>\n",
       "      <td>48416.666667</td>\n",
       "      <td>1.672106e+07</td>\n",
       "      <td>48960.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-18</th>\n",
       "      <td>47600.0</td>\n",
       "      <td>47650.0</td>\n",
       "      <td>46200.0</td>\n",
       "      <td>46600.0</td>\n",
       "      <td>46255.964844</td>\n",
       "      <td>16661870</td>\n",
       "      <td>-0.022036</td>\n",
       "      <td>47483.333333</td>\n",
       "      <td>1.823816e+07</td>\n",
       "      <td>48350.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-19</th>\n",
       "      <td>47200.0</td>\n",
       "      <td>47350.0</td>\n",
       "      <td>46500.0</td>\n",
       "      <td>47000.0</td>\n",
       "      <td>46653.011719</td>\n",
       "      <td>15217971</td>\n",
       "      <td>0.008584</td>\n",
       "      <td>47083.333333</td>\n",
       "      <td>1.632024e+07</td>\n",
       "      <td>47770.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-20</th>\n",
       "      <td>47450.0</td>\n",
       "      <td>47600.0</td>\n",
       "      <td>46850.0</td>\n",
       "      <td>47000.0</td>\n",
       "      <td>46653.011719</td>\n",
       "      <td>12959316</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>46866.666667</td>\n",
       "      <td>1.494639e+07</td>\n",
       "      <td>47290.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-21</th>\n",
       "      <td>47900.0</td>\n",
       "      <td>47900.0</td>\n",
       "      <td>47050.0</td>\n",
       "      <td>47050.0</td>\n",
       "      <td>46702.644531</td>\n",
       "      <td>10015541</td>\n",
       "      <td>0.001064</td>\n",
       "      <td>47016.666667</td>\n",
       "      <td>1.273094e+07</td>\n",
       "      <td>47060.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-22</th>\n",
       "      <td>47000.0</td>\n",
       "      <td>47250.0</td>\n",
       "      <td>46200.0</td>\n",
       "      <td>47250.0</td>\n",
       "      <td>46901.167969</td>\n",
       "      <td>10298006</td>\n",
       "      <td>0.004251</td>\n",
       "      <td>47100.000000</td>\n",
       "      <td>1.109095e+07</td>\n",
       "      <td>46980.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-25</th>\n",
       "      <td>47050.0</td>\n",
       "      <td>47050.0</td>\n",
       "      <td>46150.0</td>\n",
       "      <td>46650.0</td>\n",
       "      <td>46305.597656</td>\n",
       "      <td>10587711</td>\n",
       "      <td>-0.012698</td>\n",
       "      <td>46983.333333</td>\n",
       "      <td>1.030042e+07</td>\n",
       "      <td>46990.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-26</th>\n",
       "      <td>45900.0</td>\n",
       "      <td>47300.0</td>\n",
       "      <td>45900.0</td>\n",
       "      <td>47000.0</td>\n",
       "      <td>46653.011719</td>\n",
       "      <td>11223166</td>\n",
       "      <td>0.007503</td>\n",
       "      <td>46966.666667</td>\n",
       "      <td>1.070296e+07</td>\n",
       "      <td>46990.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-27</th>\n",
       "      <td>47450.0</td>\n",
       "      <td>48500.0</td>\n",
       "      <td>47000.0</td>\n",
       "      <td>47950.0</td>\n",
       "      <td>47596.000000</td>\n",
       "      <td>15274752</td>\n",
       "      <td>0.020213</td>\n",
       "      <td>47200.000000</td>\n",
       "      <td>1.236188e+07</td>\n",
       "      <td>47180.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-28</th>\n",
       "      <td>46850.0</td>\n",
       "      <td>47150.0</td>\n",
       "      <td>46600.0</td>\n",
       "      <td>46800.0</td>\n",
       "      <td>46800.000000</td>\n",
       "      <td>12784800</td>\n",
       "      <td>-0.023983</td>\n",
       "      <td>47250.000000</td>\n",
       "      <td>1.309424e+07</td>\n",
       "      <td>47130.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-29</th>\n",
       "      <td>46250.0</td>\n",
       "      <td>47150.0</td>\n",
       "      <td>46200.0</td>\n",
       "      <td>46650.0</td>\n",
       "      <td>46650.000000</td>\n",
       "      <td>14099635</td>\n",
       "      <td>-0.003205</td>\n",
       "      <td>47133.333333</td>\n",
       "      <td>1.405306e+07</td>\n",
       "      <td>47010.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>245 rows × 94 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open     High      Low    Close     Adj Close    Volume  \\\n",
       "Date                                                                     \n",
       "2017-06-20  47240.0  48140.0  47220.0  48140.0  12429.440430  15045000   \n",
       "2017-06-21  47740.0  48120.0  47480.0  47480.0  12259.031250   9973650   \n",
       "2017-06-22  47960.0  48080.0  47720.0  47960.0  12382.965820  11455800   \n",
       "2017-06-23  47600.0  47780.0  47420.0  47620.0  12295.179688   9515100   \n",
       "2017-06-26  47520.0  48360.0  47520.0  48280.0  12465.586914   8552800   \n",
       "2017-06-27  48220.0  48400.0  47900.0  48300.0  12470.751953   9616750   \n",
       "2017-06-28  47600.0  48000.0  47560.0  47700.0  12315.835938   9572500   \n",
       "2017-06-29  48040.0  48320.0  47940.0  47940.0  14506.661133   8306550   \n",
       "2017-06-30  47500.0  47620.0  47100.0  47540.0  14385.622070  11877550   \n",
       "2017-07-03  47500.0  47780.0  47120.0  47220.0  14288.789063   6805550   \n",
       "2017-07-04  47160.0  47400.0  46900.0  47000.0  14222.215820   7961000   \n",
       "2017-07-05  46820.0  47680.0  46780.0  47580.0  14397.724609  10640250   \n",
       "2017-07-06  48000.0  48100.0  47720.0  48060.0  14542.972656  10923050   \n",
       "2017-07-07  47740.0  48120.0  47620.0  47860.0  14482.453125   8131900   \n",
       "2017-07-10  48500.0  48900.0  48320.0  48660.0  14724.534180  10792750   \n",
       "2017-07-11  48640.0  49000.0  48280.0  49000.0  14827.418945   9717800   \n",
       "2017-07-12  49000.0  50000.0  48840.0  49880.0  15093.707031   9486150   \n",
       "2017-07-13  50080.0  50940.0  50040.0  50560.0  15299.475586  16034150   \n",
       "2017-07-14  51000.0  51080.0  50420.0  50480.0  15275.266602   8239000   \n",
       "2017-07-17  50900.0  51020.0  50520.0  50640.0  15323.682617   8976100   \n",
       "2017-07-18  50420.0  50880.0  50360.0  50840.0  15384.204102   7084450   \n",
       "2017-07-19  50620.0  50820.0  50000.0  50740.0  15353.942383  11157500   \n",
       "2017-07-20  50760.0  51320.0  50560.0  51200.0  15493.139648   8367600   \n",
       "2017-07-21  50860.0  51160.0  50520.0  51080.0  15456.826172   8449050   \n",
       "2017-07-24  50700.0  51000.0  50620.0  50860.0  15390.253906   7099750   \n",
       "2017-07-25  50500.0  50760.0  49940.0  50000.0  15130.018555  10810600   \n",
       "2017-07-26  49600.0  50020.0  49300.0  49840.0  15081.602539  11224800   \n",
       "2017-07-27  50000.0  50640.0  49560.0  49800.0  15069.498047  11449500   \n",
       "2017-07-28  49800.0  49800.0  47380.0  47760.0  14452.192383  26168300   \n",
       "2017-07-31  47420.0  48240.0  46920.0  48200.0  14585.337891  12701400   \n",
       "...             ...      ...      ...      ...           ...       ...   \n",
       "2018-05-16  49200.0  50200.0  49150.0  49850.0  49481.972656  15918683   \n",
       "2018-05-17  50300.0  50500.0  49400.0  49400.0  49035.296875  10365440   \n",
       "2018-05-18  49900.0  49900.0  49350.0  49500.0  49134.558594   6706570   \n",
       "2018-05-21  49650.0  50200.0  49100.0  50000.0  49630.867188   9020998   \n",
       "2018-05-23  50600.0  52000.0  50400.0  51800.0  51417.578125  17095490   \n",
       "2018-05-24  52000.0  52000.0  51100.0  51400.0  51020.531250   8289275   \n",
       "2018-05-25  51000.0  52800.0  50800.0  52700.0  52310.933594  15207266   \n",
       "2018-05-28  52500.0  53000.0  52000.0  52300.0  51913.886719   9787820   \n",
       "2018-05-29  52200.0  52500.0  51300.0  51300.0  50921.269531   8480437   \n",
       "2018-05-30  51300.0  51500.0  49100.0  49500.0  49134.558594  20498098   \n",
       "2018-05-31  50400.0  50800.0  49850.0  50700.0  50325.699219  63491109   \n",
       "2018-06-01  50500.0  51700.0  49950.0  51300.0  50921.269531  13038499   \n",
       "2018-06-04  50800.0  51200.0  50700.0  51100.0  50722.746094   9767171   \n",
       "2018-06-05  51100.0  51400.0  50400.0  51300.0  50921.269531   9144100   \n",
       "2018-06-07  51800.0  51800.0  50500.0  50600.0  50226.437500  13590016   \n",
       "2018-06-08  50200.0  50400.0  49600.0  49650.0  49283.449219  16951706   \n",
       "2018-06-11  49750.0  50300.0  49350.0  49900.0  49531.605469  10571312   \n",
       "2018-06-12  49700.0  49800.0  49250.0  49400.0  49035.296875  12110569   \n",
       "2018-06-14  49000.0  49000.0  48200.0  48200.0  47844.156250  20971729   \n",
       "2018-06-15  48500.0  48700.0  47650.0  47650.0  47298.214844  17080892   \n",
       "2018-06-18  47600.0  47650.0  46200.0  46600.0  46255.964844  16661870   \n",
       "2018-06-19  47200.0  47350.0  46500.0  47000.0  46653.011719  15217971   \n",
       "2018-06-20  47450.0  47600.0  46850.0  47000.0  46653.011719  12959316   \n",
       "2018-06-21  47900.0  47900.0  47050.0  47050.0  46702.644531  10015541   \n",
       "2018-06-22  47000.0  47250.0  46200.0  47250.0  46901.167969  10298006   \n",
       "2018-06-25  47050.0  47050.0  46150.0  46650.0  46305.597656  10587711   \n",
       "2018-06-26  45900.0  47300.0  45900.0  47000.0  46653.011719  11223166   \n",
       "2018-06-27  47450.0  48500.0  47000.0  47950.0  47596.000000  15274752   \n",
       "2018-06-28  46850.0  47150.0  46600.0  46800.0  46800.000000  12784800   \n",
       "2018-06-29  46250.0  47150.0  46200.0  46650.0  46650.000000  14099635   \n",
       "\n",
       "            pct_change    close_ma_3   volume_ma_3  close_ma_5    ...      \\\n",
       "Date                                                              ...       \n",
       "2017-06-20    0.033935  46760.000000  1.458412e+07     46264.0    ...       \n",
       "2017-06-21   -0.013710  47393.333333  1.210752e+07     46688.0    ...       \n",
       "2017-06-22    0.010110  47860.000000  1.215815e+07     47144.0    ...       \n",
       "2017-06-23   -0.007089  47686.666667  1.031485e+07     47552.0    ...       \n",
       "2017-06-26    0.013860  47953.333333  9.841233e+06     47896.0    ...       \n",
       "2017-06-27    0.000414  48066.666667  9.228217e+06     47928.0    ...       \n",
       "2017-06-28   -0.012422  48093.333333  9.247350e+06     47972.0    ...       \n",
       "2017-06-29    0.005031  47980.000000  9.165267e+06     47968.0    ...       \n",
       "2017-06-30   -0.008344  47726.666667  9.918867e+06     47952.0    ...       \n",
       "2017-07-03   -0.006731  47566.666667  8.996550e+06     47740.0    ...       \n",
       "2017-07-04   -0.004659  47253.333333  8.881367e+06     47480.0    ...       \n",
       "2017-07-05    0.012340  47266.666667  8.468933e+06     47456.0    ...       \n",
       "2017-07-06    0.010088  47546.666667  9.841433e+06     47480.0    ...       \n",
       "2017-07-07   -0.004161  47833.333333  9.898400e+06     47544.0    ...       \n",
       "2017-07-10    0.016715  48193.333333  9.949233e+06     47832.0    ...       \n",
       "2017-07-11    0.006987  48506.666667  9.547483e+06     48232.0    ...       \n",
       "2017-07-12    0.017959  49180.000000  9.998900e+06     48692.0    ...       \n",
       "2017-07-13    0.013633  49813.333333  1.174603e+07     49192.0    ...       \n",
       "2017-07-14   -0.001582  50306.666667  1.125310e+07     49716.0    ...       \n",
       "2017-07-17    0.003170  50560.000000  1.108308e+07     50112.0    ...       \n",
       "2017-07-18    0.003949  50653.333333  8.099850e+06     50480.0    ...       \n",
       "2017-07-19   -0.001967  50740.000000  9.072683e+06     50652.0    ...       \n",
       "2017-07-20    0.009066  50926.666667  8.869850e+06     50780.0    ...       \n",
       "2017-07-21   -0.002344  51006.666667  9.324717e+06     50900.0    ...       \n",
       "2017-07-24   -0.004307  51046.666667  7.972133e+06     50944.0    ...       \n",
       "2017-07-25   -0.016909  50646.666667  8.786467e+06     50776.0    ...       \n",
       "2017-07-26   -0.003200  50233.333333  9.711717e+06     50596.0    ...       \n",
       "2017-07-27   -0.000803  49880.000000  1.116163e+07     50316.0    ...       \n",
       "2017-07-28   -0.040964  49133.333333  1.628087e+07     49652.0    ...       \n",
       "2017-07-31    0.009213  48586.666667  1.677307e+07     49120.0    ...       \n",
       "...                ...           ...           ...         ...    ...       \n",
       "2018-05-16    0.013211  49716.666667  1.651237e+07     50410.0    ...       \n",
       "2018-05-17   -0.009027  49483.333333  1.499776e+07     49970.0    ...       \n",
       "2018-05-18    0.002024  49583.333333  1.099690e+07     49610.0    ...       \n",
       "2018-05-21    0.010101  49633.333333  8.697669e+06     49590.0    ...       \n",
       "2018-05-23    0.036000  50433.333333  1.094102e+07     50110.0    ...       \n",
       "2018-05-24   -0.007722  51066.666667  1.146859e+07     50420.0    ...       \n",
       "2018-05-25    0.025292  51966.666667  1.353068e+07     51080.0    ...       \n",
       "2018-05-28   -0.007590  52133.333333  1.109479e+07     51640.0    ...       \n",
       "2018-05-29   -0.019120  52100.000000  1.115851e+07     51900.0    ...       \n",
       "2018-05-30   -0.035088  51033.333333  1.292212e+07     51440.0    ...       \n",
       "2018-05-31    0.024242  50500.000000  3.082321e+07     51300.0    ...       \n",
       "2018-06-01    0.011834  50500.000000  3.234257e+07     51020.0    ...       \n",
       "2018-06-04   -0.003899  51033.333333  2.876559e+07     50780.0    ...       \n",
       "2018-06-05    0.003914  51233.333333  1.064992e+07     50780.0    ...       \n",
       "2018-06-07   -0.013645  51000.000000  1.083376e+07     51000.0    ...       \n",
       "2018-06-08   -0.018775  50516.666667  1.322861e+07     50790.0    ...       \n",
       "2018-06-11    0.005035  50050.000000  1.370434e+07     50510.0    ...       \n",
       "2018-06-12   -0.010020  49650.000000  1.321120e+07     50170.0    ...       \n",
       "2018-06-14   -0.024291  49166.666667  1.455120e+07     49550.0    ...       \n",
       "2018-06-15   -0.011411  48416.666667  1.672106e+07     48960.0    ...       \n",
       "2018-06-18   -0.022036  47483.333333  1.823816e+07     48350.0    ...       \n",
       "2018-06-19    0.008584  47083.333333  1.632024e+07     47770.0    ...       \n",
       "2018-06-20    0.000000  46866.666667  1.494639e+07     47290.0    ...       \n",
       "2018-06-21    0.001064  47016.666667  1.273094e+07     47060.0    ...       \n",
       "2018-06-22    0.004251  47100.000000  1.109095e+07     46980.0    ...       \n",
       "2018-06-25   -0.012698  46983.333333  1.030042e+07     46990.0    ...       \n",
       "2018-06-26    0.007503  46966.666667  1.070296e+07     46990.0    ...       \n",
       "2018-06-27    0.020213  47200.000000  1.236188e+07     47180.0    ...       \n",
       "2018-06-28   -0.023983  47250.000000  1.309424e+07     47130.0    ...       \n",
       "2018-06-29   -0.003205  47133.333333  1.405306e+07     47010.0    ...       \n",
       "\n",
       "            sh2_Y3_7  sh3_Y3_7  sh4_Y3_7  sh5_Y3_7  Y3_10  sh1_Y3_10  \\\n",
       "Date                                                                   \n",
       "2017-06-20       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-06-21       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-06-22       1.0       1.0       1.0       0.0      1        1.0   \n",
       "2017-06-23       1.0       1.0       0.0       1.0      1        1.0   \n",
       "2017-06-26       1.0       0.0       1.0       0.0      1        1.0   \n",
       "2017-06-27       0.0       1.0       0.0       0.0      1        1.0   \n",
       "2017-06-28       1.0       0.0       0.0       0.0      1        1.0   \n",
       "2017-06-29       0.0       0.0       0.0       0.0      1        1.0   \n",
       "2017-06-30       0.0       0.0       0.0       1.0      1        1.0   \n",
       "2017-07-03       0.0       0.0       1.0       1.0      1        0.0   \n",
       "2017-07-04       0.0       1.0       1.0       1.0      0        1.0   \n",
       "2017-07-05       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-07-06       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-07-07       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-07-10       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-07-11       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-07-12       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-07-13       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-07-14       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-07-17       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2017-07-18       1.0       1.0       1.0       0.0      1        1.0   \n",
       "2017-07-19       1.0       1.0       0.0       0.0      1        1.0   \n",
       "2017-07-20       1.0       0.0       0.0       0.0      1        1.0   \n",
       "2017-07-21       0.0       0.0       0.0       0.0      1        1.0   \n",
       "2017-07-24       0.0       0.0       0.0       0.0      1        1.0   \n",
       "2017-07-25       0.0       0.0       0.0       0.0      1        0.0   \n",
       "2017-07-26       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2017-07-27       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2017-07-28       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2017-07-31       0.0       0.0       0.0       0.0      0        0.0   \n",
       "...              ...       ...       ...       ...    ...        ...   \n",
       "2018-05-16       0.0       0.0       1.0       1.0      0        0.0   \n",
       "2018-05-17       0.0       1.0       1.0       1.0      0        0.0   \n",
       "2018-05-18       1.0       1.0       1.0       1.0      0        0.0   \n",
       "2018-05-21       1.0       1.0       1.0       1.0      0        0.0   \n",
       "2018-05-23       1.0       1.0       1.0       1.0      0        1.0   \n",
       "2018-05-24       1.0       1.0       1.0       1.0      1        1.0   \n",
       "2018-05-25       1.0       1.0       1.0       0.0      1        1.0   \n",
       "2018-05-28       1.0       1.0       0.0       0.0      1        1.0   \n",
       "2018-05-29       1.0       0.0       0.0       0.0      1        1.0   \n",
       "2018-05-30       0.0       0.0       0.0       0.0      1        1.0   \n",
       "2018-05-31       0.0       0.0       0.0       0.0      1        1.0   \n",
       "2018-06-01       0.0       0.0       0.0       1.0      1        1.0   \n",
       "2018-06-04       0.0       0.0       1.0       0.0      1        1.0   \n",
       "2018-06-05       0.0       1.0       0.0       0.0      1        0.0   \n",
       "2018-06-07       1.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-08       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-11       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-12       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-14       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-15       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-18       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-19       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-20       0.0       0.0       0.0       1.0      0        0.0   \n",
       "2018-06-21       0.0       0.0       1.0       0.0      0        0.0   \n",
       "2018-06-22       0.0       1.0       0.0       0.0      0        0.0   \n",
       "2018-06-25       1.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-26       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-27       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-28       0.0       0.0       0.0       0.0      0        0.0   \n",
       "2018-06-29       0.0       0.0       0.0       0.0      0        0.0   \n",
       "\n",
       "            sh2_Y3_10  sh3_Y3_10  sh4_Y3_10  sh5_Y3_10  \n",
       "Date                                                    \n",
       "2017-06-20        1.0        1.0        1.0        1.0  \n",
       "2017-06-21        1.0        1.0        1.0        1.0  \n",
       "2017-06-22        1.0        1.0        1.0        1.0  \n",
       "2017-06-23        1.0        1.0        1.0        1.0  \n",
       "2017-06-26        1.0        1.0        1.0        1.0  \n",
       "2017-06-27        1.0        1.0        1.0        0.0  \n",
       "2017-06-28        1.0        1.0        0.0        1.0  \n",
       "2017-06-29        1.0        0.0        1.0        1.0  \n",
       "2017-06-30        0.0        1.0        1.0        1.0  \n",
       "2017-07-03        1.0        1.0        1.0        1.0  \n",
       "2017-07-04        1.0        1.0        1.0        1.0  \n",
       "2017-07-05        1.0        1.0        1.0        1.0  \n",
       "2017-07-06        1.0        1.0        1.0        1.0  \n",
       "2017-07-07        1.0        1.0        1.0        1.0  \n",
       "2017-07-10        1.0        1.0        1.0        1.0  \n",
       "2017-07-11        1.0        1.0        1.0        1.0  \n",
       "2017-07-12        1.0        1.0        1.0        1.0  \n",
       "2017-07-13        1.0        1.0        1.0        1.0  \n",
       "2017-07-14        1.0        1.0        1.0        1.0  \n",
       "2017-07-17        1.0        1.0        1.0        1.0  \n",
       "2017-07-18        1.0        1.0        1.0        1.0  \n",
       "2017-07-19        1.0        1.0        1.0        0.0  \n",
       "2017-07-20        1.0        1.0        0.0        0.0  \n",
       "2017-07-21        1.0        0.0        0.0        0.0  \n",
       "2017-07-24        0.0        0.0        0.0        0.0  \n",
       "2017-07-25        0.0        0.0        0.0        0.0  \n",
       "2017-07-26        0.0        0.0        0.0        0.0  \n",
       "2017-07-27        0.0        0.0        0.0        0.0  \n",
       "2017-07-28        0.0        0.0        0.0        0.0  \n",
       "2017-07-31        0.0        0.0        0.0        0.0  \n",
       "...               ...        ...        ...        ...  \n",
       "2018-05-16        0.0        0.0        0.0        1.0  \n",
       "2018-05-17        0.0        0.0        1.0        1.0  \n",
       "2018-05-18        0.0        1.0        1.0        1.0  \n",
       "2018-05-21        1.0        1.0        1.0        1.0  \n",
       "2018-05-23        1.0        1.0        1.0        1.0  \n",
       "2018-05-24        1.0        1.0        1.0        1.0  \n",
       "2018-05-25        1.0        1.0        1.0        1.0  \n",
       "2018-05-28        1.0        1.0        1.0        1.0  \n",
       "2018-05-29        1.0        1.0        1.0        1.0  \n",
       "2018-05-30        1.0        1.0        1.0        0.0  \n",
       "2018-05-31        1.0        1.0        0.0        0.0  \n",
       "2018-06-01        1.0        0.0        0.0        0.0  \n",
       "2018-06-04        0.0        0.0        0.0        0.0  \n",
       "2018-06-05        0.0        0.0        0.0        0.0  \n",
       "2018-06-07        0.0        0.0        0.0        0.0  \n",
       "2018-06-08        0.0        0.0        0.0        0.0  \n",
       "2018-06-11        0.0        0.0        0.0        0.0  \n",
       "2018-06-12        0.0        0.0        0.0        0.0  \n",
       "2018-06-14        0.0        0.0        0.0        0.0  \n",
       "2018-06-15        0.0        0.0        0.0        0.0  \n",
       "2018-06-18        0.0        0.0        0.0        0.0  \n",
       "2018-06-19        0.0        0.0        0.0        0.0  \n",
       "2018-06-20        0.0        0.0        0.0        0.0  \n",
       "2018-06-21        0.0        0.0        0.0        0.0  \n",
       "2018-06-22        0.0        0.0        0.0        0.0  \n",
       "2018-06-25        0.0        0.0        0.0        0.0  \n",
       "2018-06-26        0.0        0.0        0.0        0.0  \n",
       "2018-06-27        0.0        0.0        0.0        0.0  \n",
       "2018-06-28        0.0        0.0        0.0        0.0  \n",
       "2018-06-29        0.0        0.0        0.0        0.0  \n",
       "\n",
       "[245 rows x 94 columns]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test['삼성전자']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Learning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "alg = XGBClassifier(\n",
    " learning_rate =0.15,\n",
    " n_estimators=1000,\n",
    " max_depth=5,\n",
    " min_child_weight=2,\n",
    " gamma=0,\n",
    " subsample=0.8,\n",
    " colsample_bytree=0.8,\n",
    " objective= 'binary:logistic',\n",
    " nthread=4,\n",
    " scale_pos_weight=1,\n",
    " seed=27)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_li = [i for i in data['삼성전자'].columns if i.find('sh') != -1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "import copy\n",
    "\n",
    "def modelfit(alg, train, test, X, y):\n",
    "    alg = copy.deepcopy(alg)\n",
    "    xgb_params = alg.get_xgb_params()\n",
    "    xgtrain = xgb.DMatrix(train[X].values, label=train[y].values)\n",
    "    cvresult=xgb.cv(xgb_params, xgtrain,\n",
    "                    num_boost_round=alg.get_params()['n_estimators'],\n",
    "                    nfold=5, early_stopping_rounds=50,\n",
    "                    show_stdv=False)\n",
    "    alg.set_params(n_estimators=cvresult.shape[0])\n",
    "    alg.fit(train[X], train[y], eval_metric='auc')\n",
    "    dtrain_predictions = alg.predict(train[X])\n",
    "    dtrain_predprob = alg.predict_proba(train[X])[:,1]\n",
    "    dtest_predictions = alg.predict(test[X])\n",
    "    dtest_predprob = alg.predict_proba(test[X])[:,1]\n",
    "    print(\"Train Accuracy : {:.4f}\".format(metrics.accuracy_score(\n",
    "                            train[y].values, dtrain_predictions)))\n",
    "    print(\"Train AUC Score : {:.4f}\".format(metrics.roc_auc_score(\n",
    "                            train[y].values, dtrain_predprob)))\n",
    "    print(\"Test  Accuracy : {:.4f}\".format(metrics.accuracy_score(\n",
    "                            test[y].values, dtest_predictions)))\n",
    "    print(\"Test  AUC Score : {:.4f}\".format(metrics.roc_auc_score(\n",
    "                            test[y].values, dtest_predprob)))\n",
    "    return alg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['sh1_Y3_1', 'sh2_Y3_1', 'sh3_Y3_1', 'sh4_Y3_1', 'sh5_Y3_1', 'sh1_Y3_3', 'sh2_Y3_3', 'sh3_Y3_3', 'sh4_Y3_3', 'sh5_Y3_3', 'sh1_Y3_5', 'sh2_Y3_5', 'sh3_Y3_5', 'sh4_Y3_5', 'sh5_Y3_5', 'sh1_Y3_7', 'sh2_Y3_7', 'sh3_Y3_7', 'sh4_Y3_7', 'sh5_Y3_7', 'sh1_Y3_10', 'sh2_Y3_10', 'sh3_Y3_10', 'sh4_Y3_10', 'sh5_Y3_10']\n"
     ]
    }
   ],
   "source": [
    "print(y_li)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "%run xgb_modelfit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings(action='ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AK홀딩스\n",
      "Train Accuracy : 0.9224\n",
      "Train AUC Score : 0.9821\n",
      "Test  Accuracy : 0.8571\n",
      "Test  AUC Score : 0.9298\n",
      "BNK금융지주\n",
      "Train Accuracy : 0.9040\n",
      "Train AUC Score : 0.9750\n",
      "Test  Accuracy : 0.8531\n",
      "Test  AUC Score : 0.9247\n",
      "CJ\n",
      "Train Accuracy : 0.9193\n",
      "Train AUC Score : 0.9766\n",
      "Test  Accuracy : 0.8286\n",
      "Test  AUC Score : 0.9164\n",
      "CJ CGV\n",
      "Train Accuracy : 0.9316\n",
      "Train AUC Score : 0.9856\n",
      "Test  Accuracy : 0.8571\n",
      "Test  AUC Score : 0.9192\n",
      "CJ대한통운\n",
      "Train Accuracy : 0.9459\n",
      "Train AUC Score : 0.9912\n",
      "Test  Accuracy : 0.8612\n",
      "Test  AUC Score : 0.9278\n",
      "CJ제일제당\n",
      "Train Accuracy : 0.9694\n",
      "Train AUC Score : 0.9982\n",
      "Test  Accuracy : 0.8367\n",
      "Test  AUC Score : 0.9165\n",
      "DB손해보험\n",
      "Train Accuracy : 0.9571\n",
      "Train AUC Score : 0.9927\n",
      "Test  Accuracy : 0.8163\n",
      "Test  AUC Score : 0.9028\n",
      "DB하이텍\n",
      "Train Accuracy : 0.9234\n",
      "Train AUC Score : 0.9766\n",
      "Test  Accuracy : 0.8408\n",
      "Test  AUC Score : 0.9241\n",
      "GKL\n",
      "Train Accuracy : 0.9336\n",
      "Train AUC Score : 0.9822\n",
      "Test  Accuracy : 0.8612\n",
      "Test  AUC Score : 0.9410\n",
      "GS\n",
      "Train Accuracy : 0.9734\n",
      "Train AUC Score : 0.9978\n",
      "Test  Accuracy : 0.7592\n",
      "Test  AUC Score : 0.8653\n",
      "GS건설\n",
      "Train Accuracy : 0.9091\n",
      "Train AUC Score : 0.9697\n",
      "Test  Accuracy : 0.8449\n",
      "Test  AUC Score : 0.9199\n",
      "GS리테일\n",
      "Train Accuracy : 0.9203\n",
      "Train AUC Score : 0.9817\n",
      "Test  Accuracy : 0.8163\n",
      "Test  AUC Score : 0.8860\n",
      "HDC\n",
      "Train Accuracy : 0.9529\n",
      "Train AUC Score : 0.9870\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.9078\n",
      "JW중외제약\n",
      "Train Accuracy : 0.8825\n",
      "Train AUC Score : 0.9508\n",
      "Test  Accuracy : 0.8735\n",
      "Test  AUC Score : 0.9368\n",
      "JW홀딩스\n",
      "Train Accuracy : 0.9417\n",
      "Train AUC Score : 0.9880\n",
      "Test  Accuracy : 0.8653\n",
      "Test  AUC Score : 0.9377\n",
      "KB금융\n",
      "Train Accuracy : 0.9009\n",
      "Train AUC Score : 0.9709\n",
      "Test  Accuracy : 0.7796\n",
      "Test  AUC Score : 0.8682\n",
      "KCC\n",
      "Train Accuracy : 0.9224\n",
      "Train AUC Score : 0.9773\n",
      "Test  Accuracy : 0.8327\n",
      "Test  AUC Score : 0.9089\n",
      "KT\n",
      "Train Accuracy : 0.9489\n",
      "Train AUC Score : 0.9896\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.8659\n",
      "KT&G\n",
      "Train Accuracy : 0.8662\n",
      "Train AUC Score : 0.9420\n",
      "Test  Accuracy : 0.8204\n",
      "Test  AUC Score : 0.9168\n",
      "LF\n",
      "Train Accuracy : 0.8897\n",
      "Train AUC Score : 0.9608\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.8790\n",
      "LG\n",
      "Train Accuracy : 0.9898\n",
      "Train AUC Score : 0.9989\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.8796\n",
      "LG디스플레이\n",
      "Train Accuracy : 1.0000\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.8855\n",
      "LG상사\n",
      "Train Accuracy : 0.9540\n",
      "Train AUC Score : 0.9908\n",
      "Test  Accuracy : 0.8163\n",
      "Test  AUC Score : 0.8861\n",
      "LG생활건강\n",
      "Train Accuracy : 0.9132\n",
      "Train AUC Score : 0.9741\n",
      "Test  Accuracy : 0.7592\n",
      "Test  AUC Score : 0.8831\n",
      "LG유플러스\n",
      "Train Accuracy : 0.9081\n",
      "Train AUC Score : 0.9664\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.8808\n",
      "LG이노텍\n",
      "Train Accuracy : 0.8846\n",
      "Train AUC Score : 0.9545\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.8690\n",
      "LG전자\n",
      "Train Accuracy : 0.9070\n",
      "Train AUC Score : 0.9618\n",
      "Test  Accuracy : 0.7755\n",
      "Test  AUC Score : 0.8804\n",
      "LG하우시스\n",
      "Train Accuracy : 0.9377\n",
      "Train AUC Score : 0.9874\n",
      "Test  Accuracy : 0.7469\n",
      "Test  AUC Score : 0.8556\n",
      "LG화학\n",
      "Train Accuracy : 0.9173\n",
      "Train AUC Score : 0.9781\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.9304\n",
      "LS\n",
      "Train Accuracy : 0.9122\n",
      "Train AUC Score : 0.9722\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.8887\n",
      "LS산전\n",
      "Train Accuracy : 0.8784\n",
      "Train AUC Score : 0.9460\n",
      "Test  Accuracy : 0.7714\n",
      "Test  AUC Score : 0.8819\n",
      "NAVER\n",
      "Train Accuracy : 0.8940\n",
      "Train AUC Score : 0.9694\n",
      "Test  Accuracy : 0.8382\n",
      "Test  AUC Score : 0.9095\n",
      "NH투자증권\n",
      "Train Accuracy : 0.9530\n",
      "Train AUC Score : 0.9914\n",
      "Test  Accuracy : 0.7755\n",
      "Test  AUC Score : 0.8921\n",
      "OCI\n",
      "Train Accuracy : 0.9111\n",
      "Train AUC Score : 0.9739\n",
      "Test  Accuracy : 0.8041\n",
      "Test  AUC Score : 0.8892\n",
      "POSCO\n",
      "Train Accuracy : 0.9285\n",
      "Train AUC Score : 0.9774\n",
      "Test  Accuracy : 0.7959\n",
      "Test  AUC Score : 0.8889\n",
      "S&T모티브\n",
      "Train Accuracy : 0.9040\n",
      "Train AUC Score : 0.9687\n",
      "Test  Accuracy : 0.8490\n",
      "Test  AUC Score : 0.9110\n",
      "S-Oil\n",
      "Train Accuracy : 0.9745\n",
      "Train AUC Score : 0.9969\n",
      "Test  Accuracy : 0.7918\n",
      "Test  AUC Score : 0.8871\n",
      "SBS\n",
      "Train Accuracy : 0.9980\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.8041\n",
      "Test  AUC Score : 0.9034\n",
      "SK\n",
      "Train Accuracy : 0.9939\n",
      "Train AUC Score : 0.9999\n",
      "Test  Accuracy : 0.7673\n",
      "Test  AUC Score : 0.8757\n",
      "SKC\n",
      "Train Accuracy : 0.9265\n",
      "Train AUC Score : 0.9807\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.8652\n",
      "SK네트웍스\n",
      "Train Accuracy : 0.9173\n",
      "Train AUC Score : 0.9737\n",
      "Test  Accuracy : 0.8041\n",
      "Test  AUC Score : 0.8844\n",
      "SK디스커버리\n",
      "Train Accuracy : 0.9458\n",
      "Train AUC Score : 0.9904\n",
      "Test  Accuracy : 0.8506\n",
      "Test  AUC Score : 0.9178\n",
      "SK이노베이션\n",
      "Train Accuracy : 0.8836\n",
      "Train AUC Score : 0.9647\n",
      "Test  Accuracy : 0.7469\n",
      "Test  AUC Score : 0.8790\n",
      "SK텔레콤\n",
      "Train Accuracy : 0.9428\n",
      "Train AUC Score : 0.9889\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.8724\n",
      "SK하이닉스\n",
      "Train Accuracy : 0.9336\n",
      "Train AUC Score : 0.9846\n",
      "Test  Accuracy : 0.7673\n",
      "Test  AUC Score : 0.8757\n",
      "SPC삼립\n",
      "Train Accuracy : 0.9316\n",
      "Train AUC Score : 0.9871\n",
      "Test  Accuracy : 0.8163\n",
      "Test  AUC Score : 0.9080\n",
      "강원랜드\n",
      "Train Accuracy : 0.9408\n",
      "Train AUC Score : 0.9852\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.8800\n",
      "고려아연\n",
      "Train Accuracy : 0.9101\n",
      "Train AUC Score : 0.9746\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.9022\n",
      "고려제강\n",
      "Train Accuracy : 0.9397\n",
      "Train AUC Score : 0.9841\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.9087\n",
      "금호석유\n",
      "Train Accuracy : 0.9234\n",
      "Train AUC Score : 0.9758\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.8791\n",
      "금호타이어\n",
      "Train Accuracy : 0.8846\n",
      "Train AUC Score : 0.9630\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.9017\n",
      "기아차\n",
      "Train Accuracy : 0.9224\n",
      "Train AUC Score : 0.9765\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.8953\n",
      "기업은행\n",
      "Train Accuracy : 0.9775\n",
      "Train AUC Score : 0.9975\n",
      "Test  Accuracy : 0.8204\n",
      "Test  AUC Score : 0.9178\n",
      "남양유업\n",
      "Train Accuracy : 0.9469\n",
      "Train AUC Score : 0.9875\n",
      "Test  Accuracy : 0.7837\n",
      "Test  AUC Score : 0.8858\n",
      "남해화학\n",
      "Train Accuracy : 0.9081\n",
      "Train AUC Score : 0.9712\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.8815\n",
      "넥센타이어\n",
      "Train Accuracy : 0.9387\n",
      "Train AUC Score : 0.9872\n",
      "Test  Accuracy : 0.7755\n",
      "Test  AUC Score : 0.8550\n",
      "녹십자\n",
      "Train Accuracy : 0.9030\n",
      "Train AUC Score : 0.9721\n",
      "Test  Accuracy : 0.8653\n",
      "Test  AUC Score : 0.9114\n",
      "녹십자홀딩스\n",
      "Train Accuracy : 0.9377\n",
      "Train AUC Score : 0.9852\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.8931\n",
      "농심\n",
      "Train Accuracy : 0.9122\n",
      "Train AUC Score : 0.9704\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.9219\n",
      "대교\n",
      "Train Accuracy : 0.9551\n",
      "Train AUC Score : 0.9947\n",
      "Test  Accuracy : 0.7878\n",
      "Test  AUC Score : 0.8683\n",
      "대덕전자\n",
      "Train Accuracy : 0.9091\n",
      "Train AUC Score : 0.9700\n",
      "Test  Accuracy : 0.8041\n",
      "Test  AUC Score : 0.8823\n",
      "대림산업\n",
      "Train Accuracy : 0.8744\n",
      "Train AUC Score : 0.9495\n",
      "Test  Accuracy : 0.7878\n",
      "Test  AUC Score : 0.8621\n",
      "대상\n",
      "Train Accuracy : 0.9030\n",
      "Train AUC Score : 0.9672\n",
      "Test  Accuracy : 0.8735\n",
      "Test  AUC Score : 0.9332\n",
      "대우건설\n",
      "Train Accuracy : 0.9132\n",
      "Train AUC Score : 0.9774\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.9050\n",
      "대우조선해양\n",
      "Train Accuracy : 0.9409\n",
      "Train AUC Score : 0.9863\n",
      "Test  Accuracy : 0.8142\n",
      "Test  AUC Score : 0.9050\n",
      "대웅제약\n",
      "Train Accuracy : 0.8856\n",
      "Train AUC Score : 0.9647\n",
      "Test  Accuracy : 0.8204\n",
      "Test  AUC Score : 0.9159\n",
      "대한유화\n",
      "Train Accuracy : 0.9244\n",
      "Train AUC Score : 0.9825\n",
      "Test  Accuracy : 0.7714\n",
      "Test  AUC Score : 0.8595\n",
      "대한항공\n",
      "Train Accuracy : 0.9065\n",
      "Train AUC Score : 0.9657\n",
      "Test  Accuracy : 0.7950\n",
      "Test  AUC Score : 0.8700\n",
      "동국제강\n",
      "Train Accuracy : 0.9285\n",
      "Train AUC Score : 0.9851\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.8780\n",
      "동서\n",
      "Train Accuracy : 0.9479\n",
      "Train AUC Score : 0.9891\n",
      "Test  Accuracy : 0.7878\n",
      "Test  AUC Score : 0.8864\n",
      "동아쏘시오홀딩스\n",
      "Train Accuracy : 0.9421\n",
      "Train AUC Score : 0.9842\n",
      "Test  Accuracy : 0.8107\n",
      "Test  AUC Score : 0.9015\n",
      "동양\n",
      "Train Accuracy : 0.9888\n",
      "Train AUC Score : 0.9995\n",
      "Test  Accuracy : 0.7946\n",
      "Test  AUC Score : 0.8905\n",
      "동원F&B\n",
      "Train Accuracy : 0.9070\n",
      "Train AUC Score : 0.9704\n",
      "Test  Accuracy : 0.8286\n",
      "Test  AUC Score : 0.8914\n",
      "동원시스템즈\n",
      "Train Accuracy : 0.9990\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.8367\n",
      "Test  AUC Score : 0.9089\n",
      "두산\n",
      "Train Accuracy : 0.9438\n",
      "Train AUC Score : 0.9835\n",
      "Test  Accuracy : 0.8041\n",
      "Test  AUC Score : 0.9144\n",
      "두산인프라코어\n",
      "Train Accuracy : 0.9244\n",
      "Train AUC Score : 0.9807\n",
      "Test  Accuracy : 0.8286\n",
      "Test  AUC Score : 0.8946\n",
      "두산중공업\n",
      "Train Accuracy : 0.9193\n",
      "Train AUC Score : 0.9812\n",
      "Test  Accuracy : 0.8163\n",
      "Test  AUC Score : 0.9080\n",
      "락앤락\n",
      "Train Accuracy : 0.8979\n",
      "Train AUC Score : 0.9627\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.8807\n",
      "롯데쇼핑\n",
      "Train Accuracy : 0.9317\n",
      "Train AUC Score : 0.9809\n",
      "Test  Accuracy : 0.8058\n",
      "Test  AUC Score : 0.9044\n",
      "롯데정밀화학\n",
      "Train Accuracy : 0.9265\n",
      "Train AUC Score : 0.9847\n",
      "Test  Accuracy : 0.7796\n",
      "Test  AUC Score : 0.8575\n",
      "롯데지주\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Accuracy : 0.9205\n",
      "Train AUC Score : 0.9787\n",
      "Test  Accuracy : 0.8292\n",
      "Test  AUC Score : 0.8976\n",
      "롯데칠성\n",
      "Train Accuracy : 1.0000\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.7810\n",
      "Test  AUC Score : 0.8602\n",
      "롯데케미칼\n",
      "Train Accuracy : 0.9857\n",
      "Train AUC Score : 0.9989\n",
      "Test  Accuracy : 0.7837\n",
      "Test  AUC Score : 0.8541\n",
      "롯데푸드\n",
      "Train Accuracy : 0.9275\n",
      "Train AUC Score : 0.9805\n",
      "Test  Accuracy : 0.8182\n",
      "Test  AUC Score : 0.9028\n",
      "롯데하이마트\n",
      "Train Accuracy : 0.9734\n",
      "Train AUC Score : 0.9978\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.9078\n",
      "메리츠종금증권\n",
      "Train Accuracy : 0.9990\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.8286\n",
      "Test  AUC Score : 0.9055\n",
      "무학\n",
      "Train Accuracy : 0.9387\n",
      "Train AUC Score : 0.9874\n",
      "Test  Accuracy : 0.7673\n",
      "Test  AUC Score : 0.8755\n",
      "미래에셋대우\n",
      "Train Accuracy : 0.8999\n",
      "Train AUC Score : 0.9647\n",
      "Test  Accuracy : 0.8204\n",
      "Test  AUC Score : 0.8982\n",
      "보령제약\n",
      "Train Accuracy : 0.9078\n",
      "Train AUC Score : 0.9674\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.8863\n",
      "부광약품\n",
      "Train Accuracy : 1.0000\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.8163\n",
      "Test  AUC Score : 0.9122\n",
      "빙그레\n",
      "Train Accuracy : 0.9704\n",
      "Train AUC Score : 0.9963\n",
      "Test  Accuracy : 0.7918\n",
      "Test  AUC Score : 0.8693\n",
      "삼성SDI\n",
      "Train Accuracy : 0.9183\n",
      "Train AUC Score : 0.9777\n",
      "Test  Accuracy : 0.8490\n",
      "Test  AUC Score : 0.9265\n",
      "삼성생명\n",
      "Train Accuracy : 0.8836\n",
      "Train AUC Score : 0.9581\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.8859\n",
      "삼성엔지니어링\n",
      "Train Accuracy : 0.9207\n",
      "Train AUC Score : 0.9793\n",
      "Test  Accuracy : 0.8272\n",
      "Test  AUC Score : 0.9001\n",
      "삼성전기\n",
      "Train Accuracy : 0.9081\n",
      "Train AUC Score : 0.9697\n",
      "Test  Accuracy : 0.8163\n",
      "Test  AUC Score : 0.8993\n",
      "삼성전자\n",
      "Train Accuracy : 0.9826\n",
      "Train AUC Score : 0.9987\n",
      "Test  Accuracy : 0.8653\n",
      "Test  AUC Score : 0.9361\n",
      "삼성중공업\n",
      "Train Accuracy : 0.9857\n",
      "Train AUC Score : 0.9988\n",
      "Test  Accuracy : 0.8367\n",
      "Test  AUC Score : 0.9193\n",
      "삼성증권\n",
      "Train Accuracy : 0.9499\n",
      "Train AUC Score : 0.9938\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.9072\n",
      "삼성카드\n",
      "Train Accuracy : 0.9408\n",
      "Train AUC Score : 0.9888\n",
      "Test  Accuracy : 0.8408\n",
      "Test  AUC Score : 0.9125\n",
      "삼성화재\n",
      "Train Accuracy : 1.0000\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.7673\n",
      "Test  AUC Score : 0.8707\n",
      "삼양사\n",
      "Train Accuracy : 0.9019\n",
      "Train AUC Score : 0.9772\n",
      "Test  Accuracy : 0.7959\n",
      "Test  AUC Score : 0.8910\n",
      "삼양홀딩스\n",
      "Train Accuracy : 0.9305\n",
      "Train AUC Score : 0.9806\n",
      "Test  Accuracy : 0.8327\n",
      "Test  AUC Score : 0.9120\n",
      "세방전지\n",
      "Train Accuracy : 0.9173\n",
      "Train AUC Score : 0.9777\n",
      "Test  Accuracy : 0.7673\n",
      "Test  AUC Score : 0.8600\n",
      "세아베스틸\n",
      "Train Accuracy : 0.9745\n",
      "Train AUC Score : 0.9972\n",
      "Test  Accuracy : 0.8286\n",
      "Test  AUC Score : 0.9240\n",
      "세아제강\n",
      "Train Accuracy : 0.9162\n",
      "Train AUC Score : 0.9770\n",
      "Test  Accuracy : 0.8653\n",
      "Test  AUC Score : 0.9274\n",
      "셀트리온\n",
      "Train Accuracy : 0.9520\n",
      "Train AUC Score : 0.9910\n",
      "Test  Accuracy : 0.8449\n",
      "Test  AUC Score : 0.9152\n",
      "신세계\n",
      "Train Accuracy : 0.9244\n",
      "Train AUC Score : 0.9754\n",
      "Test  Accuracy : 0.8245\n",
      "Test  AUC Score : 0.9014\n",
      "신한지주\n",
      "Train Accuracy : 0.8641\n",
      "Train AUC Score : 0.9430\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.8982\n",
      "쌍용양회\n",
      "Train Accuracy : 0.9254\n",
      "Train AUC Score : 0.9823\n",
      "Test  Accuracy : 0.8408\n",
      "Test  AUC Score : 0.9000\n",
      "쌍용차\n",
      "Train Accuracy : 0.9132\n",
      "Train AUC Score : 0.9706\n",
      "Test  Accuracy : 0.8367\n",
      "Test  AUC Score : 0.8724\n",
      "아모레G\n",
      "Train Accuracy : 0.9949\n",
      "Train AUC Score : 0.9999\n",
      "Test  Accuracy : 0.8025\n",
      "Test  AUC Score : 0.9050\n",
      "아모레퍼시픽\n",
      "Train Accuracy : 0.9464\n",
      "Train AUC Score : 0.9893\n",
      "Test  Accuracy : 0.7901\n",
      "Test  AUC Score : 0.9010\n",
      "아이에스동서\n",
      "Train Accuracy : 0.9724\n",
      "Train AUC Score : 0.9955\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.8877\n",
      "에스엘\n",
      "Train Accuracy : 0.9499\n",
      "Train AUC Score : 0.9882\n",
      "Test  Accuracy : 0.8286\n",
      "Test  AUC Score : 0.9099\n",
      "에스원\n",
      "Train Accuracy : 0.8713\n",
      "Train AUC Score : 0.9559\n",
      "Test  Accuracy : 0.7224\n",
      "Test  AUC Score : 0.8020\n",
      "엔씨소프트\n",
      "Train Accuracy : 0.9806\n",
      "Train AUC Score : 0.9982\n",
      "Test  Accuracy : 0.7592\n",
      "Test  AUC Score : 0.8451\n",
      "영원무역\n",
      "Train Accuracy : 0.9193\n",
      "Train AUC Score : 0.9781\n",
      "Test  Accuracy : 0.8612\n",
      "Test  AUC Score : 0.9137\n",
      "영진약품\n",
      "Train Accuracy : 0.9173\n",
      "Train AUC Score : 0.9754\n",
      "Test  Accuracy : 0.8490\n",
      "Test  AUC Score : 0.9330\n",
      "영풍\n",
      "Train Accuracy : 0.9173\n",
      "Train AUC Score : 0.9721\n",
      "Test  Accuracy : 0.8571\n",
      "Test  AUC Score : 0.9358\n",
      "오뚜기\n",
      "Train Accuracy : 0.9244\n",
      "Train AUC Score : 0.9805\n",
      "Test  Accuracy : 0.7796\n",
      "Test  AUC Score : 0.8721\n",
      "오리온홀딩스\n",
      "Train Accuracy : 0.9195\n",
      "Train AUC Score : 0.9797\n",
      "Test  Accuracy : 0.7917\n",
      "Test  AUC Score : 0.8748\n",
      "우리은행\n",
      "Train Accuracy : 1.0000\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.8125\n",
      "Test  AUC Score : 0.8887\n",
      "유니드\n",
      "Train Accuracy : 0.9877\n",
      "Train AUC Score : 0.9994\n",
      "Test  Accuracy : 0.7878\n",
      "Test  AUC Score : 0.8815\n",
      "유한양행\n",
      "Train Accuracy : 0.9060\n",
      "Train AUC Score : 0.9707\n",
      "Test  Accuracy : 0.7796\n",
      "Test  AUC Score : 0.8918\n",
      "이마트\n",
      "Train Accuracy : 0.8938\n",
      "Train AUC Score : 0.9586\n",
      "Test  Accuracy : 0.8367\n",
      "Test  AUC Score : 0.8917\n",
      "일양약품\n",
      "Train Accuracy : 0.9050\n",
      "Train AUC Score : 0.9743\n",
      "Test  Accuracy : 0.8245\n",
      "Test  AUC Score : 0.8864\n",
      "일진머티리얼즈\n",
      "Train Accuracy : 0.9408\n",
      "Train AUC Score : 0.9867\n",
      "Test  Accuracy : 0.8327\n",
      "Test  AUC Score : 0.9137\n",
      "제일기획\n",
      "Train Accuracy : 0.9122\n",
      "Train AUC Score : 0.9746\n",
      "Test  Accuracy : 0.7918\n",
      "Test  AUC Score : 0.8861\n",
      "카카오\n",
      "Train Accuracy : 0.9223\n",
      "Train AUC Score : 0.9769\n",
      "Test  Accuracy : 0.8327\n",
      "Test  AUC Score : 0.9113\n",
      "코오롱인더\n",
      "Train Accuracy : 0.9724\n",
      "Train AUC Score : 0.9951\n",
      "Test  Accuracy : 0.7878\n",
      "Test  AUC Score : 0.8974\n",
      "코웨이\n",
      "Train Accuracy : 0.9632\n",
      "Train AUC Score : 0.9940\n",
      "Test  Accuracy : 0.7061\n",
      "Test  AUC Score : 0.8148\n",
      "태광산업\n",
      "Train Accuracy : 0.8958\n",
      "Train AUC Score : 0.9584\n",
      "Test  Accuracy : 0.7959\n",
      "Test  AUC Score : 0.9019\n",
      "팜스코\n",
      "Train Accuracy : 0.9234\n",
      "Train AUC Score : 0.9839\n",
      "Test  Accuracy : 0.7714\n",
      "Test  AUC Score : 0.8645\n",
      "팬오션\n",
      "Train Accuracy : 0.9545\n",
      "Train AUC Score : 0.9924\n",
      "Test  Accuracy : 0.8664\n",
      "Test  AUC Score : 0.9374\n",
      "포스코대우\n",
      "Train Accuracy : 0.9408\n",
      "Train AUC Score : 0.9865\n",
      "Test  Accuracy : 0.8204\n",
      "Test  AUC Score : 0.8931\n",
      "풍산\n",
      "Train Accuracy : 0.9990\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.8694\n",
      "Test  AUC Score : 0.9235\n",
      "하나금융지주\n",
      "Train Accuracy : 0.9081\n",
      "Train AUC Score : 0.9715\n",
      "Test  Accuracy : 0.7918\n",
      "Test  AUC Score : 0.8455\n",
      "하이트진로\n",
      "Train Accuracy : 0.9193\n",
      "Train AUC Score : 0.9792\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.9017\n",
      "한국가스공사\n",
      "Train Accuracy : 0.9132\n",
      "Train AUC Score : 0.9768\n",
      "Test  Accuracy : 0.7796\n",
      "Test  AUC Score : 0.8612\n",
      "한국금융지주\n",
      "Train Accuracy : 0.9561\n",
      "Train AUC Score : 0.9938\n",
      "Test  Accuracy : 0.8082\n",
      "Test  AUC Score : 0.8880\n",
      "한국단자\n",
      "Train Accuracy : 0.9265\n",
      "Train AUC Score : 0.9850\n",
      "Test  Accuracy : 0.8204\n",
      "Test  AUC Score : 0.8580\n",
      "한국쉘석유\n",
      "Train Accuracy : 0.9213\n",
      "Train AUC Score : 0.9805\n",
      "Test  Accuracy : 0.7837\n",
      "Test  AUC Score : 0.8358\n",
      "한국전력\n",
      "Train Accuracy : 0.9132\n",
      "Train AUC Score : 0.9754\n",
      "Test  Accuracy : 0.8367\n",
      "Test  AUC Score : 0.9286\n",
      "한국콜마\n",
      "Train Accuracy : 0.9408\n",
      "Train AUC Score : 0.9867\n",
      "Test  Accuracy : 0.8531\n",
      "Test  AUC Score : 0.9343\n",
      "한국타이어\n",
      "Train Accuracy : 0.9642\n",
      "Train AUC Score : 0.9946\n",
      "Test  Accuracy : 0.7265\n",
      "Test  AUC Score : 0.8230\n",
      "한국타이어월드와이드\n",
      "Train Accuracy : 0.9877\n",
      "Train AUC Score : 0.9992\n",
      "Test  Accuracy : 0.7143\n",
      "Test  AUC Score : 0.8298\n",
      "한국항공우주\n",
      "Train Accuracy : 0.9035\n",
      "Train AUC Score : 0.9603\n",
      "Test  Accuracy : 0.8074\n",
      "Test  AUC Score : 0.8837\n",
      "한라홀딩스\n",
      "Train Accuracy : 1.0000\n",
      "Train AUC Score : 1.0000\n",
      "Test  Accuracy : 0.7552\n",
      "Test  AUC Score : 0.8545\n",
      "한미사이언스\n",
      "Train Accuracy : 0.9580\n",
      "Train AUC Score : 0.9912\n",
      "Test  Accuracy : 0.8367\n",
      "Test  AUC Score : 0.9137\n",
      "한미약품\n",
      "Train Accuracy : 0.9224\n",
      "Train AUC Score : 0.9786\n",
      "Test  Accuracy : 0.8245\n",
      "Test  AUC Score : 0.9175\n",
      "한샘\n",
      "Train Accuracy : 0.9295\n",
      "Train AUC Score : 0.9813\n",
      "Test  Accuracy : 0.7714\n",
      "Test  AUC Score : 0.8774\n",
      "한섬\n",
      "Train Accuracy : 0.9152\n",
      "Train AUC Score : 0.9759\n",
      "Test  Accuracy : 0.8449\n",
      "Test  AUC Score : 0.9280\n",
      "한세실업\n",
      "Train Accuracy : 0.9152\n",
      "Train AUC Score : 0.9732\n",
      "Test  Accuracy : 0.8490\n",
      "Test  AUC Score : 0.9233\n",
      "한솔케미칼\n",
      "Train Accuracy : 0.9316\n",
      "Train AUC Score : 0.9818\n",
      "Test  Accuracy : 0.7796\n",
      "Test  AUC Score : 0.8908\n",
      "한온시스템\n",
      "Train Accuracy : 0.8812\n",
      "Train AUC Score : 0.9545\n",
      "Test  Accuracy : 0.8182\n",
      "Test  AUC Score : 0.8750\n",
      "한올바이오파마\n",
      "Train Accuracy : 0.9367\n",
      "Train AUC Score : 0.9859\n",
      "Test  Accuracy : 0.8408\n",
      "Test  AUC Score : 0.9344\n",
      "한일시멘트\n",
      "Train Accuracy : 0.9161\n",
      "Train AUC Score : 0.9765\n",
      "Test  Accuracy : 0.8286\n",
      "Test  AUC Score : 0.9015\n",
      "한전KPS\n",
      "Train Accuracy : 0.9745\n",
      "Train AUC Score : 0.9971\n",
      "Test  Accuracy : 0.8204\n",
      "Test  AUC Score : 0.8894\n",
      "한전기술\n",
      "Train Accuracy : 0.8999\n",
      "Train AUC Score : 0.9688\n",
      "Test  Accuracy : 0.8327\n",
      "Test  AUC Score : 0.9044\n",
      "한진중공업\n",
      "Train Accuracy : 0.9581\n",
      "Train AUC Score : 0.9925\n",
      "Test  Accuracy : 0.8122\n",
      "Test  AUC Score : 0.9006\n",
      "한화\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train Accuracy : 0.9775\n",
      "Train AUC Score : 0.9977\n",
      "Test  Accuracy : 0.8490\n",
      "Test  AUC Score : 0.9210\n",
      "한화생명\n",
      "Train Accuracy : 0.8866\n",
      "Train AUC Score : 0.9583\n",
      "Test  Accuracy : 0.8408\n",
      "Test  AUC Score : 0.9104\n",
      "한화에어로스페이스\n",
      "Train Accuracy : 0.9101\n",
      "Train AUC Score : 0.9532\n",
      "Test  Accuracy : 0.8327\n",
      "Test  AUC Score : 0.8734\n",
      "한화케미칼\n",
      "Train Accuracy : 0.9826\n",
      "Train AUC Score : 0.9988\n",
      "Test  Accuracy : 0.7510\n",
      "Test  AUC Score : 0.8432\n",
      "현대건설\n",
      "Train Accuracy : 0.9275\n",
      "Train AUC Score : 0.9746\n",
      "Test  Accuracy : 0.8367\n",
      "Test  AUC Score : 0.9039\n",
      "현대그린푸드\n",
      "Train Accuracy : 0.9694\n",
      "Train AUC Score : 0.9976\n",
      "Test  Accuracy : 0.7959\n",
      "Test  AUC Score : 0.8993\n",
      "현대글로비스\n",
      "Train Accuracy : 0.9939\n",
      "Train AUC Score : 0.9999\n",
      "Test  Accuracy : 0.8245\n",
      "Test  AUC Score : 0.8769\n",
      "현대리바트\n",
      "Train Accuracy : 0.9367\n",
      "Train AUC Score : 0.9861\n",
      "Test  Accuracy : 0.7755\n",
      "Test  AUC Score : 0.8934\n",
      "현대모비스\n",
      "Train Accuracy : 0.9101\n",
      "Train AUC Score : 0.9707\n",
      "Test  Accuracy : 0.8163\n",
      "Test  AUC Score : 0.8879\n",
      "현대미포조선\n",
      "Train Accuracy : 0.9132\n",
      "Train AUC Score : 0.9770\n",
      "Test  Accuracy : 0.8000\n",
      "Test  AUC Score : 0.8807\n",
      "현대백화점\n",
      "Train Accuracy : 0.8897\n",
      "Train AUC Score : 0.9482\n",
      "Test  Accuracy : 0.8449\n",
      "Test  AUC Score : 0.9167\n",
      "현대엘리베이\n",
      "Train Accuracy : 0.9101\n",
      "Train AUC Score : 0.9630\n",
      "Test  Accuracy : 0.8367\n",
      "Test  AUC Score : 0.9055\n",
      "현대위아\n",
      "Train Accuracy : 0.9377\n",
      "Train AUC Score : 0.9871\n",
      "Test  Accuracy : 0.8327\n",
      "Test  AUC Score : 0.9102\n",
      "현대제철\n",
      "Train Accuracy : 0.8876\n",
      "Train AUC Score : 0.9543\n",
      "Test  Accuracy : 0.7878\n",
      "Test  AUC Score : 0.8805\n",
      "현대중공업\n",
      "Train Accuracy : 0.9051\n",
      "Train AUC Score : 0.9642\n",
      "Test  Accuracy : 0.8208\n",
      "Test  AUC Score : 0.8750\n",
      "현대차\n",
      "Train Accuracy : 0.9683\n",
      "Train AUC Score : 0.9959\n",
      "Test  Accuracy : 0.8163\n",
      "Test  AUC Score : 0.9093\n",
      "현대해상\n",
      "Train Accuracy : 0.9816\n",
      "Train AUC Score : 0.9991\n",
      "Test  Accuracy : 0.7918\n",
      "Test  AUC Score : 0.8744\n",
      "현대홈쇼핑\n",
      "Train Accuracy : 0.8968\n",
      "Train AUC Score : 0.9642\n",
      "Test  Accuracy : 0.7429\n",
      "Test  AUC Score : 0.8392\n",
      "호텔신라\n",
      "Train Accuracy : 0.9765\n",
      "Train AUC Score : 0.9980\n",
      "Test  Accuracy : 0.8245\n",
      "Test  AUC Score : 0.9026\n",
      "효성\n",
      "Train Accuracy : 0.8711\n",
      "Train AUC Score : 0.9493\n",
      "Test  Accuracy : 0.7884\n",
      "Test  AUC Score : 0.8713\n",
      "후성\n",
      "Train Accuracy : 0.9152\n",
      "Train AUC Score : 0.9747\n",
      "Test  Accuracy : 0.7837\n",
      "Test  AUC Score : 0.8609\n",
      "휴켐스\n",
      "Train Accuracy : 0.9030\n",
      "Train AUC Score : 0.9701\n",
      "Test  Accuracy : 0.8490\n",
      "Test  AUC Score : 0.8884\n"
     ]
    }
   ],
   "source": [
    "model_set = {}\n",
    "for stock, df in train.items():\n",
    "    print(stock)\n",
    "    model = modelfit(alg, df, test[stock], X, 'sh1_Y3_5')\n",
    "    model_set[stock] = model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AK홀딩스   12\n",
      "BNK금융지주   17\n",
      "CJ   12\n",
      "CJ CGV   20\n",
      "CJ대한통운   26\n",
      "CJ제일제당   43\n",
      "DB손해보험   32\n",
      "DB하이텍   12\n",
      "GKL   22\n",
      "GS   41\n",
      "GS건설   4\n",
      "GS리테일   15\n",
      "HDC   22\n",
      "JW중외제약   2\n",
      "JW홀딩스   26\n",
      "KB금융   11\n",
      "KCC   13\n",
      "KT   21\n",
      "KT&G   6\n",
      "LF   4\n",
      "LG   47\n",
      "LG디스플레이   171\n",
      "LG상사   26\n",
      "LG생활건강   12\n",
      "LG유플러스   6\n",
      "LG이노텍   3\n",
      "LG전자   4\n",
      "LG하우시스   22\n",
      "LG화학   6\n",
      "LS   12\n",
      "LS산전   2\n",
      "NAVER   5\n",
      "NH투자증권   32\n",
      "OCI   7\n",
      "POSCO   15\n",
      "S&T모티브   12\n",
      "S-Oil   37\n",
      "SBS   72\n",
      "SK   49\n",
      "SKC   12\n",
      "SK네트웍스   12\n",
      "SK디스커버리   25\n",
      "SK이노베이션   10\n",
      "SK텔레콤   25\n",
      "SK하이닉스   16\n",
      "SPC삼립   16\n",
      "강원랜드   29\n",
      "고려아연   14\n",
      "고려제강   20\n",
      "금호석유   11\n",
      "금호타이어   6\n",
      "기아차   9\n",
      "기업은행   43\n",
      "남양유업   19\n",
      "남해화학   8\n",
      "넥센타이어   22\n",
      "녹십자   10\n",
      "녹십자홀딩스   14\n",
      "농심   10\n",
      "대교   39\n",
      "대덕전자   11\n",
      "대림산업   3\n",
      "대상   7\n",
      "대우건설   15\n",
      "대우조선해양   10\n",
      "대웅제약   6\n",
      "대한유화   20\n",
      "대한항공   5\n",
      "동국제강   20\n",
      "동서   25\n",
      "동아쏘시오홀딩스   15\n",
      "동양   52\n",
      "동원F&B   6\n",
      "동원시스템즈   74\n",
      "두산   18\n",
      "두산인프라코어   13\n",
      "두산중공업   14\n",
      "락앤락   6\n",
      "롯데쇼핑   16\n",
      "롯데정밀화학   24\n",
      "롯데지주   12\n",
      "롯데칠성   88\n",
      "롯데케미칼   47\n",
      "롯데푸드   13\n",
      "롯데하이마트   41\n",
      "메리츠종금증권   66\n",
      "무학   21\n",
      "미래에셋대우   4\n",
      "보령제약   5\n",
      "부광약품   178\n",
      "빙그레   38\n",
      "삼성SDI   18\n",
      "삼성생명   12\n",
      "삼성엔지니어링   12\n",
      "삼성전기   9\n",
      "삼성전자   43\n",
      "삼성중공업   48\n",
      "삼성증권   30\n",
      "삼성카드   25\n",
      "삼성화재   80\n",
      "삼양사   12\n",
      "삼양홀딩스   11\n",
      "세방전지   15\n",
      "세아베스틸   40\n",
      "세아제강   13\n",
      "셀트리온   22\n",
      "신세계   8\n",
      "신한지주   5\n",
      "쌍용양회   17\n",
      "쌍용차   7\n",
      "아모레G   66\n",
      "아모레퍼시픽   25\n",
      "아이에스동서   25\n",
      "에스엘   26\n",
      "에스원   4\n",
      "엔씨소프트   47\n",
      "영원무역   11\n",
      "영진약품   12\n",
      "영풍   7\n",
      "오뚜기   14\n",
      "오리온홀딩스   15\n",
      "우리은행   88\n",
      "유니드   53\n",
      "유한양행   10\n",
      "이마트   7\n",
      "일양약품   12\n",
      "일진머티리얼즈   20\n",
      "제일기획   17\n",
      "카카오   12\n",
      "코오롱인더   32\n",
      "코웨이   33\n",
      "태광산업   3\n",
      "팜스코   13\n",
      "팬오션   27\n",
      "포스코대우   18\n",
      "풍산   82\n",
      "하나금융지주   10\n",
      "하이트진로   10\n",
      "한국가스공사   10\n",
      "한국금융지주   29\n",
      "한국단자   16\n",
      "한국쉘석유   17\n",
      "한국전력   14\n",
      "한국콜마   18\n",
      "한국타이어   37\n",
      "한국타이어월드와이드   42\n",
      "한국항공우주   5\n",
      "한라홀딩스   73\n",
      "한미사이언스   28\n",
      "한미약품   8\n",
      "한샘   13\n",
      "한섬   15\n",
      "한세실업   11\n",
      "한솔케미칼   17\n",
      "한온시스템   7\n",
      "한올바이오파마   17\n",
      "한일시멘트   11\n",
      "한전KPS   38\n",
      "한전기술   4\n",
      "한진중공업   25\n",
      "한화   41\n",
      "한화생명   5\n",
      "한화에어로스페이스   2\n",
      "한화케미칼   40\n",
      "현대건설   8\n",
      "현대그린푸드   47\n",
      "현대글로비스   59\n",
      "현대리바트   13\n",
      "현대모비스   10\n",
      "현대미포조선   9\n",
      "현대백화점   2\n",
      "현대엘리베이   6\n",
      "현대위아   23\n",
      "현대제철   4\n",
      "현대중공업   3\n",
      "현대차   32\n",
      "현대해상   43\n",
      "현대홈쇼핑   7\n",
      "호텔신라   41\n",
      "효성   2\n",
      "후성   15\n",
      "휴켐스   10\n"
     ]
    }
   ],
   "source": [
    "for stock, model in model_set.items():\n",
    "    print(stock, ' ', model.get_params()['n_estimators'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0., 0., 1., 0., 0., 1., 0., 1., 0., 0., 1., 0., 0., 0., 1., 1., 0.,\n",
       "       1., 0., 0., 1., 1., 1., 0., 0., 0., 0., 0., 0., 1., 1., 0., 0., 0.,\n",
       "       1., 1., 1., 0., 0., 0., 0., 0., 0., 1., 1., 1., 1., 1., 1., 1., 1.,\n",
       "       1., 1., 1., 0., 0., 0., 0., 0., 1., 0., 1., 0., 1., 1., 1., 1., 1.,\n",
       "       0., 0.])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = copy.deepcopy(model_set['삼성전자'])\n",
    "a.predict(validation_['삼성전자'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "pred = pd.DataFrame()\n",
    "for stock, model in model_set.items():\n",
    "    a = model.predict(validation_[stock][X])\n",
    "    a = pd.DataFrame(a, index = validation_[stock].index, columns=['{}'.format(stock)])\n",
    "    pred = pd.concat((pred, a), axis=1)\n",
    "    pred = pred.fillna(0)\n",
    "col = pd.MultiIndex.from_product([['pred'],pred.columns])\n",
    "pred.columns = col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_true = pd.DataFrame()\n",
    "for stock in model_set.keys():\n",
    "    y_true = pd.concat((y_true, validation_[stock]['Y3_5']), axis=1)\n",
    "y_true.columns = list(model_set.keys())\n",
    "y_true = y_true.fillna(0)\n",
    "col = pd.MultiIndex.from_product([['y_true'],y_true.columns])\n",
    "y_true.columns = col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_true2 = pd.DataFrame()\n",
    "for stock in model_set.keys():\n",
    "    y_true2 = pd.concat((y_true2, validation_[stock]['sh1_Y3_5']), axis=1)\n",
    "y_true2.columns = list(model_set.keys())\n",
    "y_true2 = y_true2.fillna(0)\n",
    "col = pd.MultiIndex.from_product([['y_true2'],y_true2.columns])\n",
    "y_true2.columns = col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AK홀딩스        0.857143\n",
       "BNK금융지주      0.842857\n",
       "CJ           0.871429\n",
       "CJ CGV       0.828571\n",
       "CJ대한통운       0.785714\n",
       "CJ제일제당       0.814286\n",
       "DB손해보험       0.900000\n",
       "DB하이텍        0.814286\n",
       "GKL          0.871429\n",
       "GS           0.757143\n",
       "GS건설         0.814286\n",
       "GS리테일        0.828571\n",
       "HDC          0.800000\n",
       "JW중외제약       0.828571\n",
       "JW홀딩스        0.857143\n",
       "KB금융         0.771429\n",
       "KCC          0.771429\n",
       "KT           0.828571\n",
       "KT&G         0.871429\n",
       "LF           0.885714\n",
       "LG           0.771429\n",
       "LG디스플레이      0.857143\n",
       "LG상사         0.814286\n",
       "LG생활건강       0.814286\n",
       "LG유플러스       0.757143\n",
       "LG이노텍        0.871429\n",
       "LG전자         0.828571\n",
       "LG하우시스       0.800000\n",
       "LG화학         0.771429\n",
       "LS           0.728571\n",
       "               ...   \n",
       "한세실업         0.842857\n",
       "한솔케미칼        0.900000\n",
       "한온시스템        0.842857\n",
       "한올바이오파마      0.800000\n",
       "한일시멘트        0.942857\n",
       "한전KPS        0.757143\n",
       "한전기술         0.771429\n",
       "한진중공업        0.785714\n",
       "한화           0.914286\n",
       "한화생명         0.900000\n",
       "한화에어로스페이스    0.785714\n",
       "한화케미칼        0.800000\n",
       "현대건설         0.814286\n",
       "현대그린푸드       0.857143\n",
       "현대글로비스       0.871429\n",
       "현대리바트        0.700000\n",
       "현대모비스        0.842857\n",
       "현대미포조선       0.871429\n",
       "현대백화점        0.871429\n",
       "현대엘리베이       0.842857\n",
       "현대위아         0.900000\n",
       "현대제철         0.842857\n",
       "현대중공업        0.957143\n",
       "현대차          0.771429\n",
       "현대해상         0.800000\n",
       "현대홈쇼핑        0.857143\n",
       "호텔신라         0.800000\n",
       "효성           0.871429\n",
       "후성           0.800000\n",
       "휴켐스          0.757143\n",
       "Length: 182, dtype: float64"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(y_true == pred).sum() / len(y_true)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_col_df(df_name, fillna=None):\n",
    "    df = pd.DataFrame()\n",
    "    for stock in model_set.keys():\n",
    "        df = pd.concat((df,validation_[stock][df_name]), axis=1)\n",
    "    df.columns = list(model_set.keys())\n",
    "    if fillna == 'mean':\n",
    "        df = df.fillna(df.mean())\n",
    "    else:\n",
    "        df = df.fillna(0)\n",
    "    col = pd.MultiIndex.from_product([['{}'.format(df_name)],df.columns])\n",
    "    df.columns = col\n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "res = pd.concat((pred, y_true, y_true2), axis=1)\n",
    "res = pd.concat((res, get_col_df('Close', 'mean')), axis=1)\n",
    "res = pd.concat((res, get_col_df('Open', 'mean')), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 314,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"10\" halign=\"left\">pred</th>\n",
       "      <th>...</th>\n",
       "      <th colspan=\"10\" halign=\"left\">Open</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th>AK홀딩스</th>\n",
       "      <th>BNK금융지주</th>\n",
       "      <th>CJ</th>\n",
       "      <th>CJ CGV</th>\n",
       "      <th>CJ대한통운</th>\n",
       "      <th>CJ제일제당</th>\n",
       "      <th>DB손해보험</th>\n",
       "      <th>DB하이텍</th>\n",
       "      <th>GKL</th>\n",
       "      <th>GS</th>\n",
       "      <th>...</th>\n",
       "      <th>현대위아</th>\n",
       "      <th>현대제철</th>\n",
       "      <th>현대중공업</th>\n",
       "      <th>현대차</th>\n",
       "      <th>현대해상</th>\n",
       "      <th>현대홈쇼핑</th>\n",
       "      <th>호텔신라</th>\n",
       "      <th>효성</th>\n",
       "      <th>후성</th>\n",
       "      <th>휴켐스</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-06-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44500.0</td>\n",
       "      <td>54600.0</td>\n",
       "      <td>105500.0</td>\n",
       "      <td>130500.0</td>\n",
       "      <td>38000.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>120500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>9430.0</td>\n",
       "      <td>30450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44150.0</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>107000.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>36550.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>9750.0</td>\n",
       "      <td>28600.0</td>\n",
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       "    <tr>\n",
       "      <th>2018-06-22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42450.0</td>\n",
       "      <td>54900.0</td>\n",
       "      <td>105500.0</td>\n",
       "      <td>126000.0</td>\n",
       "      <td>35100.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>123000.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10050.0</td>\n",
       "      <td>28100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43250.0</td>\n",
       "      <td>54800.0</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>36250.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>122500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10100.0</td>\n",
       "      <td>28050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-26</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42300.0</td>\n",
       "      <td>56300.0</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>128000.0</td>\n",
       "      <td>35300.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>121500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10000.0</td>\n",
       "      <td>28800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42000.0</td>\n",
       "      <td>55100.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>34500.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>115500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10450.0</td>\n",
       "      <td>29050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41050.0</td>\n",
       "      <td>52200.0</td>\n",
       "      <td>101000.0</td>\n",
       "      <td>126000.0</td>\n",
       "      <td>34650.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>116000.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10250.0</td>\n",
       "      <td>29950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-29</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41200.0</td>\n",
       "      <td>52600.0</td>\n",
       "      <td>104000.0</td>\n",
       "      <td>124500.0</td>\n",
       "      <td>34250.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>121500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>29900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-02</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40900.0</td>\n",
       "      <td>52700.0</td>\n",
       "      <td>102000.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>33500.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10300.0</td>\n",
       "      <td>29200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>39650.0</td>\n",
       "      <td>50700.0</td>\n",
       "      <td>100500.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>33200.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>120500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10350.0</td>\n",
       "      <td>29600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>39400.0</td>\n",
       "      <td>49950.0</td>\n",
       "      <td>99500.0</td>\n",
       "      <td>120500.0</td>\n",
       "      <td>34050.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10150.0</td>\n",
       "      <td>29000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>37950.0</td>\n",
       "      <td>49700.0</td>\n",
       "      <td>99500.0</td>\n",
       "      <td>119000.0</td>\n",
       "      <td>35350.0</td>\n",
       "      <td>115000.0</td>\n",
       "      <td>108500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10100.0</td>\n",
       "      <td>28850.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-06</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>38400.0</td>\n",
       "      <td>49000.0</td>\n",
       "      <td>104000.0</td>\n",
       "      <td>122500.0</td>\n",
       "      <td>35150.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10250.0</td>\n",
       "      <td>29450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-09</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40900.0</td>\n",
       "      <td>49400.0</td>\n",
       "      <td>104500.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>36200.0</td>\n",
       "      <td>115000.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>10950.0</td>\n",
       "      <td>30700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-10</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40550.0</td>\n",
       "      <td>48550.0</td>\n",
       "      <td>102000.0</td>\n",
       "      <td>123500.0</td>\n",
       "      <td>35850.0</td>\n",
       "      <td>116000.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>11100.0</td>\n",
       "      <td>31250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-11</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40450.0</td>\n",
       "      <td>48350.0</td>\n",
       "      <td>100500.0</td>\n",
       "      <td>121000.0</td>\n",
       "      <td>35000.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>100500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>30900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-12</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40400.0</td>\n",
       "      <td>48050.0</td>\n",
       "      <td>99900.0</td>\n",
       "      <td>121500.0</td>\n",
       "      <td>34750.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>45787.735849</td>\n",
       "      <td>11250.0</td>\n",
       "      <td>31200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-13</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41000.0</td>\n",
       "      <td>48500.0</td>\n",
       "      <td>96500.0</td>\n",
       "      <td>123500.0</td>\n",
       "      <td>34350.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>104000.0</td>\n",
       "      <td>79300.000000</td>\n",
       "      <td>11300.0</td>\n",
       "      <td>30700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-16</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40650.0</td>\n",
       "      <td>49000.0</td>\n",
       "      <td>95800.0</td>\n",
       "      <td>122500.0</td>\n",
       "      <td>34350.0</td>\n",
       "      <td>109500.0</td>\n",
       "      <td>105000.0</td>\n",
       "      <td>56300.000000</td>\n",
       "      <td>11450.0</td>\n",
       "      <td>31300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-17</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41500.0</td>\n",
       "      <td>48650.0</td>\n",
       "      <td>97100.0</td>\n",
       "      <td>126000.0</td>\n",
       "      <td>34250.0</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>50700.000000</td>\n",
       "      <td>11400.0</td>\n",
       "      <td>31750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43100.0</td>\n",
       "      <td>49200.0</td>\n",
       "      <td>98000.0</td>\n",
       "      <td>127000.0</td>\n",
       "      <td>33850.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>102000.0</td>\n",
       "      <td>51500.000000</td>\n",
       "      <td>11200.0</td>\n",
       "      <td>30000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42750.0</td>\n",
       "      <td>47750.0</td>\n",
       "      <td>95300.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>33600.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>48200.000000</td>\n",
       "      <td>10950.0</td>\n",
       "      <td>30300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42150.0</td>\n",
       "      <td>47550.0</td>\n",
       "      <td>95100.0</td>\n",
       "      <td>124500.0</td>\n",
       "      <td>32950.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>92700.0</td>\n",
       "      <td>45250.000000</td>\n",
       "      <td>11500.0</td>\n",
       "      <td>29500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43150.0</td>\n",
       "      <td>48300.0</td>\n",
       "      <td>97400.0</td>\n",
       "      <td>127500.0</td>\n",
       "      <td>34100.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>90800.0</td>\n",
       "      <td>45400.000000</td>\n",
       "      <td>11350.0</td>\n",
       "      <td>30200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43200.0</td>\n",
       "      <td>48700.0</td>\n",
       "      <td>99900.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>36000.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>91400.0</td>\n",
       "      <td>42700.000000</td>\n",
       "      <td>10900.0</td>\n",
       "      <td>29800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-25</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41800.0</td>\n",
       "      <td>50300.0</td>\n",
       "      <td>98200.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>36000.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>98000.0</td>\n",
       "      <td>43500.000000</td>\n",
       "      <td>10850.0</td>\n",
       "      <td>30550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-26</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41600.0</td>\n",
       "      <td>50900.0</td>\n",
       "      <td>101000.0</td>\n",
       "      <td>131000.0</td>\n",
       "      <td>35500.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>96700.0</td>\n",
       "      <td>43300.000000</td>\n",
       "      <td>11100.0</td>\n",
       "      <td>31250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-27</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44050.0</td>\n",
       "      <td>52000.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>35250.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>96800.0</td>\n",
       "      <td>42550.000000</td>\n",
       "      <td>11100.0</td>\n",
       "      <td>31850.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42100.0</td>\n",
       "      <td>51500.0</td>\n",
       "      <td>105000.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>35400.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>104000.0</td>\n",
       "      <td>43100.000000</td>\n",
       "      <td>11650.0</td>\n",
       "      <td>31600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44450.0</td>\n",
       "      <td>54000.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>131000.0</td>\n",
       "      <td>36600.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>44350.000000</td>\n",
       "      <td>11500.0</td>\n",
       "      <td>31350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-16</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45100.0</td>\n",
       "      <td>53600.0</td>\n",
       "      <td>105500.0</td>\n",
       "      <td>122000.0</td>\n",
       "      <td>37200.0</td>\n",
       "      <td>116500.0</td>\n",
       "      <td>95300.0</td>\n",
       "      <td>42500.000000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>26600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45800.0</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>104000.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>38200.0</td>\n",
       "      <td>118000.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>42000.000000</td>\n",
       "      <td>11550.0</td>\n",
       "      <td>27050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45950.0</td>\n",
       "      <td>54000.0</td>\n",
       "      <td>104500.0</td>\n",
       "      <td>127500.0</td>\n",
       "      <td>38900.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>41950.000000</td>\n",
       "      <td>11350.0</td>\n",
       "      <td>26700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>47500.0</td>\n",
       "      <td>54900.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>127000.0</td>\n",
       "      <td>38100.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>97800.0</td>\n",
       "      <td>41500.000000</td>\n",
       "      <td>11650.0</td>\n",
       "      <td>26100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45450.0</td>\n",
       "      <td>54400.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>37700.0</td>\n",
       "      <td>114000.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>42450.000000</td>\n",
       "      <td>11650.0</td>\n",
       "      <td>26350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44550.0</td>\n",
       "      <td>54000.0</td>\n",
       "      <td>121500.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>37200.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>104000.0</td>\n",
       "      <td>41500.000000</td>\n",
       "      <td>11450.0</td>\n",
       "      <td>25400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43500.0</td>\n",
       "      <td>52700.0</td>\n",
       "      <td>115000.0</td>\n",
       "      <td>123500.0</td>\n",
       "      <td>37550.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>40650.000000</td>\n",
       "      <td>11350.0</td>\n",
       "      <td>25450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43500.0</td>\n",
       "      <td>52100.0</td>\n",
       "      <td>114500.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>37700.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>107500.0</td>\n",
       "      <td>41250.000000</td>\n",
       "      <td>11950.0</td>\n",
       "      <td>25500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43300.0</td>\n",
       "      <td>52200.0</td>\n",
       "      <td>115500.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>36250.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>41500.000000</td>\n",
       "      <td>12150.0</td>\n",
       "      <td>25600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45900.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>119000.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>36650.0</td>\n",
       "      <td>115000.0</td>\n",
       "      <td>107000.0</td>\n",
       "      <td>42950.000000</td>\n",
       "      <td>12000.0</td>\n",
       "      <td>25800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45050.0</td>\n",
       "      <td>53500.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>36600.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>42900.000000</td>\n",
       "      <td>11850.0</td>\n",
       "      <td>25500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43500.0</td>\n",
       "      <td>53800.0</td>\n",
       "      <td>119000.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>36950.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>45000.000000</td>\n",
       "      <td>11750.0</td>\n",
       "      <td>25150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42500.0</td>\n",
       "      <td>53300.0</td>\n",
       "      <td>118000.0</td>\n",
       "      <td>124500.0</td>\n",
       "      <td>36800.0</td>\n",
       "      <td>114500.0</td>\n",
       "      <td>107500.0</td>\n",
       "      <td>46400.000000</td>\n",
       "      <td>11600.0</td>\n",
       "      <td>25350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42500.0</td>\n",
       "      <td>52100.0</td>\n",
       "      <td>119500.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>36750.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>107000.0</td>\n",
       "      <td>45500.000000</td>\n",
       "      <td>11750.0</td>\n",
       "      <td>25200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42800.0</td>\n",
       "      <td>52200.0</td>\n",
       "      <td>119500.0</td>\n",
       "      <td>126500.0</td>\n",
       "      <td>36500.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>44700.000000</td>\n",
       "      <td>11900.0</td>\n",
       "      <td>25000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-06</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44000.0</td>\n",
       "      <td>52800.0</td>\n",
       "      <td>121500.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>36900.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>102500.0</td>\n",
       "      <td>44650.000000</td>\n",
       "      <td>11400.0</td>\n",
       "      <td>25000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-07</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44950.0</td>\n",
       "      <td>53300.0</td>\n",
       "      <td>124500.0</td>\n",
       "      <td>136000.0</td>\n",
       "      <td>37350.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>101000.0</td>\n",
       "      <td>45500.000000</td>\n",
       "      <td>11350.0</td>\n",
       "      <td>25100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-10</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44300.0</td>\n",
       "      <td>54300.0</td>\n",
       "      <td>123500.0</td>\n",
       "      <td>131500.0</td>\n",
       "      <td>36750.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>99500.0</td>\n",
       "      <td>44050.000000</td>\n",
       "      <td>11100.0</td>\n",
       "      <td>24950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44900.0</td>\n",
       "      <td>56700.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>36100.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>99000.0</td>\n",
       "      <td>44750.000000</td>\n",
       "      <td>11200.0</td>\n",
       "      <td>24700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43500.0</td>\n",
       "      <td>54200.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>128500.0</td>\n",
       "      <td>36500.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>46900.000000</td>\n",
       "      <td>11450.0</td>\n",
       "      <td>25000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-13</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43400.0</td>\n",
       "      <td>53900.0</td>\n",
       "      <td>126500.0</td>\n",
       "      <td>130500.0</td>\n",
       "      <td>36200.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>102000.0</td>\n",
       "      <td>47200.000000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>25400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-14</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43300.0</td>\n",
       "      <td>54700.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>35700.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>105000.0</td>\n",
       "      <td>47400.000000</td>\n",
       "      <td>11100.0</td>\n",
       "      <td>25000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-17</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42900.0</td>\n",
       "      <td>54400.0</td>\n",
       "      <td>128500.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>36550.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>47200.000000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>25000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42200.0</td>\n",
       "      <td>53300.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>128500.0</td>\n",
       "      <td>36350.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>104500.0</td>\n",
       "      <td>46000.000000</td>\n",
       "      <td>10750.0</td>\n",
       "      <td>24400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42250.0</td>\n",
       "      <td>55000.0</td>\n",
       "      <td>128500.0</td>\n",
       "      <td>128500.0</td>\n",
       "      <td>36150.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>47800.000000</td>\n",
       "      <td>11050.0</td>\n",
       "      <td>24450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41350.0</td>\n",
       "      <td>55200.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>126500.0</td>\n",
       "      <td>36400.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>48250.000000</td>\n",
       "      <td>10750.0</td>\n",
       "      <td>24050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41700.0</td>\n",
       "      <td>55900.0</td>\n",
       "      <td>131000.0</td>\n",
       "      <td>131000.0</td>\n",
       "      <td>37150.0</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>48700.000000</td>\n",
       "      <td>10750.0</td>\n",
       "      <td>24100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42050.0</td>\n",
       "      <td>57800.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>38500.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>105500.0</td>\n",
       "      <td>48250.000000</td>\n",
       "      <td>10700.0</td>\n",
       "      <td>24550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42600.0</td>\n",
       "      <td>57500.0</td>\n",
       "      <td>134500.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>40900.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>47800.000000</td>\n",
       "      <td>10750.0</td>\n",
       "      <td>24250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42200.0</td>\n",
       "      <td>56100.0</td>\n",
       "      <td>135000.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>41900.0</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>108500.0</td>\n",
       "      <td>48000.000000</td>\n",
       "      <td>10700.0</td>\n",
       "      <td>25050.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 910 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            pred                                                           \\\n",
       "           AK홀딩스 BNK금융지주   CJ CJ CGV CJ대한통운 CJ제일제당 DB손해보험 DB하이텍  GKL   GS   \n",
       "Date                                                                        \n",
       "2018-06-20   0.0     0.0  0.0    0.0    0.0    0.0    1.0   1.0  0.0  0.0   \n",
       "2018-06-21   0.0     0.0  0.0    0.0    1.0    0.0    1.0   0.0  0.0  0.0   \n",
       "2018-06-22   0.0     0.0  0.0    1.0    1.0    0.0    0.0   1.0  0.0  0.0   \n",
       "2018-06-25   0.0     0.0  1.0    1.0    1.0    1.0    0.0   1.0  0.0  0.0   \n",
       "2018-06-26   0.0     0.0  0.0    1.0    1.0    1.0    0.0   1.0  0.0  1.0   \n",
       "2018-06-27   0.0     1.0  0.0    1.0    0.0    1.0    0.0   1.0  1.0  1.0   \n",
       "2018-06-28   0.0     0.0  0.0    1.0    0.0    1.0    0.0   0.0  1.0  0.0   \n",
       "2018-06-29   1.0     0.0  1.0    0.0    1.0    0.0    0.0   0.0  1.0  0.0   \n",
       "2018-07-02   0.0     0.0  1.0    0.0    0.0    0.0    0.0   0.0  0.0  0.0   \n",
       "2018-07-03   0.0     0.0  1.0    0.0    1.0    0.0    0.0   0.0  0.0  0.0   \n",
       "2018-07-04   0.0     0.0  1.0    0.0    1.0    0.0    1.0   0.0  0.0  0.0   \n",
       "2018-07-05   0.0     0.0  0.0    0.0    1.0    0.0    1.0   0.0  0.0  0.0   \n",
       "2018-07-06   1.0     1.0  1.0    0.0    1.0    0.0    1.0   0.0  0.0  0.0   \n",
       "2018-07-09   1.0     1.0  1.0    0.0    1.0    0.0    1.0   0.0  0.0  0.0   \n",
       "2018-07-10   1.0     1.0  1.0    1.0    0.0    0.0    1.0   0.0  0.0  1.0   \n",
       "2018-07-11   1.0     1.0  1.0    1.0    1.0    1.0    1.0   0.0  1.0  0.0   \n",
       "2018-07-12   1.0     0.0  1.0    0.0    1.0    0.0    1.0   0.0  1.0  0.0   \n",
       "2018-07-13   1.0     0.0  1.0    0.0    0.0    1.0    0.0   0.0  1.0  1.0   \n",
       "2018-07-16   1.0     0.0  1.0    0.0    0.0    1.0    0.0   1.0  0.0  1.0   \n",
       "2018-07-17   1.0     0.0  1.0    0.0    0.0    0.0    0.0   1.0  0.0  1.0   \n",
       "2018-07-18   1.0     0.0  1.0    0.0    0.0    0.0    0.0   1.0  0.0  1.0   \n",
       "2018-07-19   0.0     0.0  0.0    0.0    0.0    0.0    0.0   0.0  0.0  1.0   \n",
       "2018-07-20   0.0     0.0  0.0    0.0    0.0    0.0    1.0   0.0  0.0  0.0   \n",
       "2018-07-23   0.0     0.0  0.0    0.0    0.0    1.0    1.0   0.0  0.0  1.0   \n",
       "2018-07-24   0.0     1.0  0.0    0.0    0.0    1.0    1.0   0.0  0.0  1.0   \n",
       "2018-07-25   1.0     1.0  1.0    0.0    1.0    1.0    1.0   0.0  1.0  0.0   \n",
       "2018-07-26   1.0     1.0  0.0    0.0    0.0    1.0    1.0   0.0  1.0  1.0   \n",
       "2018-07-27   1.0     1.0  0.0    0.0    0.0    1.0    0.0   1.0  1.0  1.0   \n",
       "2018-07-30   0.0     1.0  0.0    0.0    0.0    0.0    1.0   0.0  1.0  1.0   \n",
       "2018-07-31   0.0     0.0  0.0    0.0    0.0    1.0    1.0   0.0  1.0  1.0   \n",
       "...          ...     ...  ...    ...    ...    ...    ...   ...  ...  ...   \n",
       "2018-08-16   0.0     0.0  0.0    0.0    0.0    0.0    1.0   1.0  1.0  1.0   \n",
       "2018-08-17   0.0     0.0  0.0    0.0    0.0    0.0    1.0   1.0  1.0  1.0   \n",
       "2018-08-20   0.0     0.0  0.0    0.0    1.0    0.0    1.0   0.0  1.0  1.0   \n",
       "2018-08-21   0.0     0.0  0.0    0.0    1.0    0.0    1.0   1.0  1.0  1.0   \n",
       "2018-08-22   0.0     0.0  0.0    1.0    1.0    0.0    0.0   1.0  1.0  1.0   \n",
       "2018-08-23   0.0     1.0  0.0    1.0    1.0    0.0    0.0   1.0  0.0  0.0   \n",
       "2018-08-24   0.0     1.0  0.0    1.0    1.0    1.0    0.0   1.0  0.0  0.0   \n",
       "2018-08-27   0.0     0.0  0.0    1.0    1.0    1.0    0.0   1.0  0.0  1.0   \n",
       "2018-08-28   0.0     1.0  0.0    1.0    0.0    1.0    0.0   1.0  0.0  1.0   \n",
       "2018-08-29   0.0     1.0  1.0    1.0    1.0    1.0    0.0   1.0  0.0  1.0   \n",
       "2018-08-30   0.0     0.0  0.0    1.0    1.0    0.0    0.0   1.0  0.0  0.0   \n",
       "2018-08-31   0.0     1.0  0.0    0.0    1.0    1.0    1.0   1.0  0.0  0.0   \n",
       "2018-09-03   0.0     1.0  0.0    0.0    1.0    0.0    0.0   1.0  0.0  0.0   \n",
       "2018-09-04   0.0     0.0  0.0    0.0    0.0    0.0    0.0   1.0  0.0  0.0   \n",
       "2018-09-05   0.0     1.0  1.0    1.0    0.0    0.0    1.0   1.0  1.0  0.0   \n",
       "2018-09-06   0.0     0.0  1.0    0.0    1.0    0.0    1.0   0.0  0.0  0.0   \n",
       "2018-09-07   0.0     1.0  1.0    0.0    1.0    0.0    1.0   0.0  0.0  0.0   \n",
       "2018-09-10   0.0     1.0  1.0    0.0    1.0    0.0    1.0   0.0  0.0  1.0   \n",
       "2018-09-11   0.0     1.0  1.0    0.0    1.0    0.0    0.0   0.0  0.0  1.0   \n",
       "2018-09-12   0.0     1.0  1.0    0.0    1.0    0.0    0.0   0.0  0.0  1.0   \n",
       "2018-09-13   0.0     1.0  1.0    1.0    1.0    1.0    0.0   0.0  1.0  1.0   \n",
       "2018-09-14   1.0     1.0  1.0    1.0    0.0    0.0    0.0   1.0  1.0  1.0   \n",
       "2018-09-17   1.0     0.0  1.0    1.0    1.0    0.0    0.0   0.0  1.0  1.0   \n",
       "2018-09-18   1.0     0.0  1.0    1.0    0.0    0.0    0.0   0.0  1.0  0.0   \n",
       "2018-09-19   0.0     0.0  0.0    0.0    0.0    0.0    1.0   0.0  1.0  1.0   \n",
       "2018-09-20   0.0     0.0  0.0    0.0    0.0    0.0    1.0   0.0  1.0  0.0   \n",
       "2018-09-21   0.0     1.0  1.0    0.0    0.0    1.0    1.0   0.0  0.0  0.0   \n",
       "2018-09-27   0.0     1.0  0.0    0.0    0.0    1.0    1.0   0.0  0.0  1.0   \n",
       "2018-09-28   0.0     1.0  1.0    0.0    0.0    1.0    1.0   0.0  1.0  1.0   \n",
       "2018-10-01   0.0     1.0  1.0    0.0    0.0    1.0    1.0   0.0  0.0  1.0   \n",
       "\n",
       "             ...        Open                                                  \\\n",
       "             ...        현대위아     현대제철     현대중공업       현대차     현대해상     현대홈쇼핑   \n",
       "Date         ...                                                               \n",
       "2018-06-20   ...     44500.0  54600.0  105500.0  130500.0  38000.0  113500.0   \n",
       "2018-06-21   ...     44150.0  55000.0  107000.0  129500.0  36550.0  111000.0   \n",
       "2018-06-22   ...     42450.0  54900.0  105500.0  126000.0  35100.0  112000.0   \n",
       "2018-06-25   ...     43250.0  54800.0  110500.0  129500.0  36250.0  112000.0   \n",
       "2018-06-26   ...     42300.0  56300.0  110500.0  128000.0  35300.0  112500.0   \n",
       "2018-06-27   ...     42000.0  55100.0  108000.0  129000.0  34500.0  111000.0   \n",
       "2018-06-28   ...     41050.0  52200.0  101000.0  126000.0  34650.0  112500.0   \n",
       "2018-06-29   ...     41200.0  52600.0  104000.0  124500.0  34250.0  111000.0   \n",
       "2018-07-02   ...     40900.0  52700.0  102000.0  125000.0  33500.0  112500.0   \n",
       "2018-07-03   ...     39650.0  50700.0  100500.0  125500.0  33200.0  113000.0   \n",
       "2018-07-04   ...     39400.0  49950.0   99500.0  120500.0  34050.0  112000.0   \n",
       "2018-07-05   ...     37950.0  49700.0   99500.0  119000.0  35350.0  115000.0   \n",
       "2018-07-06   ...     38400.0  49000.0  104000.0  122500.0  35150.0  113000.0   \n",
       "2018-07-09   ...     40900.0  49400.0  104500.0  124000.0  36200.0  115000.0   \n",
       "2018-07-10   ...     40550.0  48550.0  102000.0  123500.0  35850.0  116000.0   \n",
       "2018-07-11   ...     40450.0  48350.0  100500.0  121000.0  35000.0  112500.0   \n",
       "2018-07-12   ...     40400.0  48050.0   99900.0  121500.0  34750.0  113000.0   \n",
       "2018-07-13   ...     41000.0  48500.0   96500.0  123500.0  34350.0  111000.0   \n",
       "2018-07-16   ...     40650.0  49000.0   95800.0  122500.0  34350.0  109500.0   \n",
       "2018-07-17   ...     41500.0  48650.0   97100.0  126000.0  34250.0  110500.0   \n",
       "2018-07-18   ...     43100.0  49200.0   98000.0  127000.0  33850.0  110000.0   \n",
       "2018-07-19   ...     42750.0  47750.0   95300.0  125000.0  33600.0  109000.0   \n",
       "2018-07-20   ...     42150.0  47550.0   95100.0  124500.0  32950.0  109000.0   \n",
       "2018-07-23   ...     43150.0  48300.0   97400.0  127500.0  34100.0  110000.0   \n",
       "2018-07-24   ...     43200.0  48700.0   99900.0  129500.0  36000.0  111500.0   \n",
       "2018-07-25   ...     41800.0  50300.0   98200.0  130000.0  36000.0  112000.0   \n",
       "2018-07-26   ...     41600.0  50900.0  101000.0  131000.0  35500.0  113000.0   \n",
       "2018-07-27   ...     44050.0  52000.0  106000.0  129500.0  35250.0  112500.0   \n",
       "2018-07-30   ...     42100.0  51500.0  105000.0  129000.0  35400.0  109000.0   \n",
       "2018-07-31   ...     44450.0  54000.0  108000.0  131000.0  36600.0  109000.0   \n",
       "...          ...         ...      ...       ...       ...      ...       ...   \n",
       "2018-08-16   ...     45100.0  53600.0  105500.0  122000.0  37200.0  116500.0   \n",
       "2018-08-17   ...     45800.0  53000.0  104000.0  125500.0  38200.0  118000.0   \n",
       "2018-08-20   ...     45950.0  54000.0  104500.0  127500.0  38900.0  113000.0   \n",
       "2018-08-21   ...     47500.0  54900.0  112500.0  127000.0  38100.0  113500.0   \n",
       "2018-08-22   ...     45450.0  54400.0  112000.0  125500.0  37700.0  114000.0   \n",
       "2018-08-23   ...     44550.0  54000.0  121500.0  125500.0  37200.0  112500.0   \n",
       "2018-08-24   ...     43500.0  52700.0  115000.0  123500.0  37550.0  111500.0   \n",
       "2018-08-27   ...     43500.0  52100.0  114500.0  125000.0  37700.0  113500.0   \n",
       "2018-08-28   ...     43300.0  52200.0  115500.0  125000.0  36250.0  113500.0   \n",
       "2018-08-29   ...     45900.0  52500.0  119000.0  125000.0  36650.0  115000.0   \n",
       "2018-08-30   ...     45050.0  53500.0  120000.0  124000.0  36600.0  113500.0   \n",
       "2018-08-31   ...     43500.0  53800.0  119000.0  124000.0  36950.0  112000.0   \n",
       "2018-09-03   ...     42500.0  53300.0  118000.0  124500.0  36800.0  114500.0   \n",
       "2018-09-04   ...     42500.0  52100.0  119500.0  125500.0  36750.0  113000.0   \n",
       "2018-09-05   ...     42800.0  52200.0  119500.0  126500.0  36500.0  113500.0   \n",
       "2018-09-06   ...     44000.0  52800.0  121500.0  130000.0  36900.0  112500.0   \n",
       "2018-09-07   ...     44950.0  53300.0  124500.0  136000.0  37350.0  112000.0   \n",
       "2018-09-10   ...     44300.0  54300.0  123500.0  131500.0  36750.0  112000.0   \n",
       "2018-09-11   ...     44900.0  56700.0  124000.0  130000.0  36100.0  111000.0   \n",
       "2018-09-12   ...     43500.0  54200.0  125500.0  128500.0  36500.0  112000.0   \n",
       "2018-09-13   ...     43400.0  53900.0  126500.0  130500.0  36200.0  112500.0   \n",
       "2018-09-14   ...     43300.0  54700.0  129000.0  129500.0  35700.0  113000.0   \n",
       "2018-09-17   ...     42900.0  54400.0  128500.0  129000.0  36550.0  113000.0   \n",
       "2018-09-18   ...     42200.0  53300.0  129500.0  128500.0  36350.0  113000.0   \n",
       "2018-09-19   ...     42250.0  55000.0  128500.0  128500.0  36150.0  113500.0   \n",
       "2018-09-20   ...     41350.0  55200.0  125000.0  126500.0  36400.0  111000.0   \n",
       "2018-09-21   ...     41700.0  55900.0  131000.0  131000.0  37150.0  110500.0   \n",
       "2018-09-27   ...     42050.0  57800.0  129500.0  130000.0  38500.0  110000.0   \n",
       "2018-09-28   ...     42600.0  57500.0  134500.0  130000.0  40900.0  110000.0   \n",
       "2018-10-01   ...     42200.0  56100.0  135000.0  130000.0  41900.0  110500.0   \n",
       "\n",
       "                                                      \n",
       "                호텔신라            효성       후성      휴켐스  \n",
       "Date                                                  \n",
       "2018-06-20  120500.0  45787.735849   9430.0  30450.0  \n",
       "2018-06-21  124000.0  45787.735849   9750.0  28600.0  \n",
       "2018-06-22  123000.0  45787.735849  10050.0  28100.0  \n",
       "2018-06-25  122500.0  45787.735849  10100.0  28050.0  \n",
       "2018-06-26  121500.0  45787.735849  10000.0  28800.0  \n",
       "2018-06-27  115500.0  45787.735849  10450.0  29050.0  \n",
       "2018-06-28  116000.0  45787.735849  10250.0  29950.0  \n",
       "2018-06-29  121500.0  45787.735849  10400.0  29900.0  \n",
       "2018-07-02  124000.0  45787.735849  10300.0  29200.0  \n",
       "2018-07-03  120500.0  45787.735849  10350.0  29600.0  \n",
       "2018-07-04  111500.0  45787.735849  10150.0  29000.0  \n",
       "2018-07-05  108500.0  45787.735849  10100.0  28850.0  \n",
       "2018-07-06  109000.0  45787.735849  10250.0  29450.0  \n",
       "2018-07-09  109000.0  45787.735849  10950.0  30700.0  \n",
       "2018-07-10  101500.0  45787.735849  11100.0  31250.0  \n",
       "2018-07-11  100500.0  45787.735849  11000.0  30900.0  \n",
       "2018-07-12  101500.0  45787.735849  11250.0  31200.0  \n",
       "2018-07-13  104000.0  79300.000000  11300.0  30700.0  \n",
       "2018-07-16  105000.0  56300.000000  11450.0  31300.0  \n",
       "2018-07-17  101500.0  50700.000000  11400.0  31750.0  \n",
       "2018-07-18  102000.0  51500.000000  11200.0  30000.0  \n",
       "2018-07-19  101500.0  48200.000000  10950.0  30300.0  \n",
       "2018-07-20   92700.0  45250.000000  11500.0  29500.0  \n",
       "2018-07-23   90800.0  45400.000000  11350.0  30200.0  \n",
       "2018-07-24   91400.0  42700.000000  10900.0  29800.0  \n",
       "2018-07-25   98000.0  43500.000000  10850.0  30550.0  \n",
       "2018-07-26   96700.0  43300.000000  11100.0  31250.0  \n",
       "2018-07-27   96800.0  42550.000000  11100.0  31850.0  \n",
       "2018-07-30  104000.0  43100.000000  11650.0  31600.0  \n",
       "2018-07-31  100000.0  44350.000000  11500.0  31350.0  \n",
       "...              ...           ...      ...      ...  \n",
       "2018-08-16   95300.0  42500.000000  11000.0  26600.0  \n",
       "2018-08-17  100000.0  42000.000000  11550.0  27050.0  \n",
       "2018-08-20  101500.0  41950.000000  11350.0  26700.0  \n",
       "2018-08-21   97800.0  41500.000000  11650.0  26100.0  \n",
       "2018-08-22  100000.0  42450.000000  11650.0  26350.0  \n",
       "2018-08-23  104000.0  41500.000000  11450.0  25400.0  \n",
       "2018-08-24  106000.0  40650.000000  11350.0  25450.0  \n",
       "2018-08-27  107500.0  41250.000000  11950.0  25500.0  \n",
       "2018-08-28  108000.0  41500.000000  12150.0  25600.0  \n",
       "2018-08-29  107000.0  42950.000000  12000.0  25800.0  \n",
       "2018-08-30  110000.0  42900.000000  11850.0  25500.0  \n",
       "2018-08-31  106000.0  45000.000000  11750.0  25150.0  \n",
       "2018-09-03  107500.0  46400.000000  11600.0  25350.0  \n",
       "2018-09-04  107000.0  45500.000000  11750.0  25200.0  \n",
       "2018-09-05  106000.0  44700.000000  11900.0  25000.0  \n",
       "2018-09-06  102500.0  44650.000000  11400.0  25000.0  \n",
       "2018-09-07  101000.0  45500.000000  11350.0  25100.0  \n",
       "2018-09-10   99500.0  44050.000000  11100.0  24950.0  \n",
       "2018-09-11   99000.0  44750.000000  11200.0  24700.0  \n",
       "2018-09-12  100000.0  46900.000000  11450.0  25000.0  \n",
       "2018-09-13  102000.0  47200.000000  11000.0  25400.0  \n",
       "2018-09-14  105000.0  47400.000000  11100.0  25000.0  \n",
       "2018-09-17  106000.0  47200.000000  11000.0  25000.0  \n",
       "2018-09-18  104500.0  46000.000000  10750.0  24400.0  \n",
       "2018-09-19  109000.0  47800.000000  11050.0  24450.0  \n",
       "2018-09-20  109000.0  48250.000000  10750.0  24050.0  \n",
       "2018-09-21  106000.0  48700.000000  10750.0  24100.0  \n",
       "2018-09-27  105500.0  48250.000000  10700.0  24550.0  \n",
       "2018-09-28  110000.0  47800.000000  10750.0  24250.0  \n",
       "2018-10-01  108500.0  48000.000000  10700.0  25050.0  \n",
       "\n",
       "[70 rows x 910 columns]"
      ]
     },
     "execution_count": 314,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 186,
   "metadata": {},
   "outputs": [
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       "      <th>2018-07-02</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>2018-07-03</th>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-11</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-12</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-13</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-16</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-17</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-19</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-26</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-27</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-30</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-31</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-16</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-06</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-07</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-10</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-13</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-14</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-17</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 364 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            AK홀딩스         BNK금융지주             CJ         CJ CGV          \\\n",
       "           y_true y_true2  y_true y_true2 y_true y_true2 y_true y_true2   \n",
       "Date                                                                      \n",
       "2018-06-20    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-06-21    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-06-22    0.0     0.0     0.0     0.0    0.0     0.0    0.0     1.0   \n",
       "2018-06-25    0.0     0.0     0.0     0.0    0.0     0.0    1.0     1.0   \n",
       "2018-06-26    0.0     0.0     0.0     0.0    0.0     0.0    1.0     1.0   \n",
       "2018-06-27    0.0     0.0     0.0     1.0    0.0     0.0    1.0     1.0   \n",
       "2018-06-28    0.0     0.0     1.0     1.0    0.0     1.0    1.0     1.0   \n",
       "2018-06-29    0.0     0.0     1.0     0.0    1.0     0.0    1.0     0.0   \n",
       "2018-07-02    0.0     0.0     0.0     0.0    0.0     1.0    0.0     0.0   \n",
       "2018-07-03    0.0     0.0     0.0     0.0    1.0     1.0    0.0     0.0   \n",
       "2018-07-04    0.0     0.0     0.0     0.0    1.0     1.0    0.0     0.0   \n",
       "2018-07-05    0.0     0.0     0.0     1.0    1.0     1.0    0.0     0.0   \n",
       "2018-07-06    0.0     1.0     1.0     1.0    1.0     1.0    0.0     1.0   \n",
       "2018-07-09    1.0     1.0     1.0     1.0    1.0     1.0    1.0     0.0   \n",
       "2018-07-10    1.0     1.0     1.0     1.0    1.0     1.0    0.0     1.0   \n",
       "2018-07-11    1.0     1.0     1.0     0.0    1.0     1.0    1.0     1.0   \n",
       "2018-07-12    1.0     1.0     0.0     0.0    1.0     1.0    1.0     1.0   \n",
       "2018-07-13    1.0     1.0     0.0     0.0    1.0     1.0    1.0     0.0   \n",
       "2018-07-16    1.0     1.0     0.0     0.0    1.0     1.0    0.0     0.0   \n",
       "2018-07-17    1.0     1.0     0.0     0.0    1.0     1.0    0.0     0.0   \n",
       "2018-07-18    1.0     1.0     0.0     0.0    1.0     0.0    0.0     0.0   \n",
       "2018-07-19    1.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-07-20    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-07-23    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-07-24    0.0     0.0     0.0     1.0    0.0     0.0    0.0     0.0   \n",
       "2018-07-25    0.0     1.0     1.0     1.0    0.0     1.0    0.0     0.0   \n",
       "2018-07-26    1.0     1.0     1.0     1.0    1.0     0.0    0.0     0.0   \n",
       "2018-07-27    1.0     1.0     1.0     1.0    0.0     0.0    0.0     0.0   \n",
       "2018-07-30    1.0     1.0     1.0     1.0    0.0     0.0    0.0     0.0   \n",
       "2018-07-31    1.0     1.0     1.0     0.0    0.0     1.0    0.0     1.0   \n",
       "...           ...     ...     ...     ...    ...     ...    ...     ...   \n",
       "2018-08-16    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-08-17    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-08-20    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-08-21    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-08-22    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-08-23    0.0     0.0     0.0     1.0    0.0     0.0    0.0     1.0   \n",
       "2018-08-24    0.0     0.0     1.0     0.0    0.0     0.0    1.0     1.0   \n",
       "2018-08-27    0.0     0.0     0.0     1.0    0.0     0.0    1.0     1.0   \n",
       "2018-08-28    0.0     0.0     1.0     1.0    0.0     0.0    1.0     1.0   \n",
       "2018-08-29    0.0     0.0     1.0     1.0    0.0     0.0    1.0     1.0   \n",
       "2018-08-30    0.0     1.0     1.0     1.0    0.0     0.0    1.0     1.0   \n",
       "2018-08-31    1.0     0.0     1.0     1.0    0.0     0.0    1.0     0.0   \n",
       "2018-09-03    0.0     0.0     1.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-09-04    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-09-05    0.0     0.0     0.0     0.0    0.0     1.0    0.0     0.0   \n",
       "2018-09-06    0.0     0.0     0.0     0.0    1.0     1.0    0.0     0.0   \n",
       "2018-09-07    0.0     0.0     0.0     1.0    1.0     1.0    0.0     0.0   \n",
       "2018-09-10    0.0     0.0     1.0     1.0    1.0     1.0    0.0     0.0   \n",
       "2018-09-11    0.0     0.0     1.0     1.0    1.0     1.0    0.0     0.0   \n",
       "2018-09-12    0.0     0.0     1.0     1.0    1.0     1.0    0.0     1.0   \n",
       "2018-09-13    0.0     1.0     1.0     1.0    1.0     1.0    1.0     1.0   \n",
       "2018-09-14    1.0     1.0     1.0     0.0    1.0     1.0    1.0     1.0   \n",
       "2018-09-17    1.0     1.0     0.0     0.0    1.0     1.0    1.0     1.0   \n",
       "2018-09-18    1.0     0.0     0.0     0.0    1.0     0.0    1.0     1.0   \n",
       "2018-09-19    0.0     0.0     0.0     0.0    0.0     0.0    1.0     0.0   \n",
       "2018-09-20    0.0     0.0     0.0     0.0    0.0     0.0    0.0     0.0   \n",
       "2018-09-21    0.0     0.0     0.0     1.0    0.0     0.0    0.0     0.0   \n",
       "2018-09-27    0.0     0.0     1.0     1.0    0.0     0.0    0.0     0.0   \n",
       "2018-09-28    0.0     0.0     1.0     1.0    0.0     1.0    0.0     0.0   \n",
       "2018-10-01    0.0     0.0     1.0     0.0    1.0     0.0    0.0     0.0   \n",
       "\n",
       "           CJ대한통운           ...    현대홈쇼핑           호텔신라             효성  \\\n",
       "           y_true y_true2   ...   y_true y_true2 y_true y_true2 y_true   \n",
       "Date                        ...                                          \n",
       "2018-06-20    0.0     1.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-06-21    1.0     1.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-06-22    1.0     1.0   ...      1.0     0.0    0.0     1.0    0.0   \n",
       "2018-06-25    1.0     1.0   ...      0.0     0.0    1.0     0.0    0.0   \n",
       "2018-06-26    1.0     1.0   ...      0.0     1.0    0.0     0.0    0.0   \n",
       "2018-06-27    1.0     1.0   ...      1.0     0.0    0.0     0.0    0.0   \n",
       "2018-06-28    1.0     1.0   ...      0.0     1.0    0.0     0.0    0.0   \n",
       "2018-06-29    1.0     0.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-07-02    0.0     1.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-07-03    1.0     1.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-07-04    1.0     1.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-07-05    1.0     1.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-07-06    1.0     1.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-07-09    1.0     1.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-07-10    1.0     1.0   ...      1.0     0.0    0.0     0.0    0.0   \n",
       "2018-07-11    1.0     1.0   ...      0.0     0.0    0.0     0.0    0.0   \n",
       "2018-07-12    1.0     1.0   ...      0.0     0.0    0.0     0.0    0.0   \n",
       "2018-07-13    1.0     0.0   ...      0.0     0.0    0.0     1.0    0.0   \n",
       "2018-07-16    0.0     0.0   ...      0.0     0.0    1.0     1.0    0.0   \n",
       "2018-07-17    0.0     0.0   ...      0.0     0.0    1.0     1.0    0.0   \n",
       "2018-07-18    0.0     0.0   ...      0.0     0.0    1.0     0.0    0.0   \n",
       "2018-07-19    0.0     0.0   ...      0.0     0.0    0.0     0.0    0.0   \n",
       "2018-07-20    0.0     0.0   ...      0.0     0.0    0.0     0.0    0.0   \n",
       "2018-07-23    0.0     0.0   ...      0.0     1.0    0.0     0.0    0.0   \n",
       "2018-07-24    0.0     0.0   ...      1.0     1.0    0.0     0.0    0.0   \n",
       "2018-07-25    0.0     1.0   ...      1.0     1.0    0.0     1.0    0.0   \n",
       "2018-07-26    1.0     0.0   ...      1.0     1.0    1.0     1.0    0.0   \n",
       "2018-07-27    0.0     0.0   ...      1.0     0.0    1.0     1.0    0.0   \n",
       "2018-07-30    0.0     0.0   ...      0.0     0.0    1.0     1.0    1.0   \n",
       "2018-07-31    0.0     0.0   ...      0.0     0.0    1.0     1.0    1.0   \n",
       "...           ...     ...   ...      ...     ...    ...     ...    ...   \n",
       "2018-08-16    0.0     0.0   ...      1.0     0.0    0.0     0.0    0.0   \n",
       "2018-08-17    0.0     0.0   ...      0.0     0.0    0.0     0.0    0.0   \n",
       "2018-08-20    0.0     1.0   ...      0.0     0.0    0.0     1.0    0.0   \n",
       "2018-08-21    1.0     1.0   ...      0.0     0.0    1.0     1.0    0.0   \n",
       "2018-08-22    1.0     1.0   ...      0.0     0.0    1.0     1.0    0.0   \n",
       "2018-08-23    1.0     1.0   ...      0.0     0.0    1.0     1.0    0.0   \n",
       "2018-08-24    1.0     1.0   ...      0.0     0.0    1.0     1.0    0.0   \n",
       "2018-08-27    1.0     1.0   ...      0.0     1.0    1.0     1.0    0.0   \n",
       "2018-08-28    1.0     0.0   ...      1.0     1.0    1.0     1.0    1.0   \n",
       "2018-08-29    0.0     0.0   ...      1.0     1.0    1.0     1.0    1.0   \n",
       "2018-08-30    0.0     0.0   ...      1.0     1.0    1.0     1.0    1.0   \n",
       "2018-08-31    0.0     0.0   ...      1.0     1.0    1.0     1.0    1.0   \n",
       "2018-09-03    0.0     0.0   ...      1.0     0.0    1.0     0.0    1.0   \n",
       "2018-09-04    0.0     0.0   ...      0.0     0.0    0.0     0.0    1.0   \n",
       "2018-09-05    0.0     1.0   ...      0.0     0.0    0.0     0.0    1.0   \n",
       "2018-09-06    1.0     1.0   ...      0.0     0.0    0.0     0.0    1.0   \n",
       "2018-09-07    1.0     1.0   ...      0.0     0.0    0.0     0.0    0.0   \n",
       "2018-09-10    1.0     1.0   ...      0.0     0.0    0.0     0.0    0.0   \n",
       "2018-09-11    1.0     1.0   ...      0.0     0.0    0.0     0.0    1.0   \n",
       "2018-09-12    1.0     1.0   ...      0.0     1.0    0.0     1.0    1.0   \n",
       "2018-09-13    1.0     1.0   ...      1.0     1.0    1.0     1.0    1.0   \n",
       "2018-09-14    1.0     0.0   ...      1.0     1.0    1.0     1.0    1.0   \n",
       "2018-09-17    0.0     0.0   ...      1.0     1.0    1.0     1.0    1.0   \n",
       "2018-09-18    0.0     0.0   ...      1.0     0.0    1.0     1.0    1.0   \n",
       "2018-09-19    0.0     0.0   ...      0.0     0.0    1.0     1.0    1.0   \n",
       "2018-09-20    0.0     0.0   ...      0.0     0.0    1.0     0.0    1.0   \n",
       "2018-09-21    0.0     0.0   ...      0.0     0.0    0.0     1.0    1.0   \n",
       "2018-09-27    0.0     0.0   ...      0.0     0.0    1.0     1.0    1.0   \n",
       "2018-09-28    0.0     0.0   ...      0.0     0.0    1.0     0.0    1.0   \n",
       "2018-10-01    0.0     0.0   ...      0.0     0.0    0.0     0.0    0.0   \n",
       "\n",
       "                       후성            휴켐스          \n",
       "           y_true2 y_true y_true2 y_true y_true2  \n",
       "Date                                              \n",
       "2018-06-20     0.0    0.0     1.0    0.0     0.0  \n",
       "2018-06-21     0.0    1.0     1.0    0.0     0.0  \n",
       "2018-06-22     0.0    1.0     1.0    0.0     0.0  \n",
       "2018-06-25     0.0    1.0     1.0    0.0     0.0  \n",
       "2018-06-26     0.0    1.0     1.0    0.0     1.0  \n",
       "2018-06-27     0.0    1.0     1.0    1.0     1.0  \n",
       "2018-06-28     0.0    1.0     1.0    1.0     1.0  \n",
       "2018-06-29     0.0    1.0     1.0    1.0     1.0  \n",
       "2018-07-02     0.0    1.0     0.0    1.0     0.0  \n",
       "2018-07-03     0.0    0.0     0.0    0.0     0.0  \n",
       "2018-07-04     0.0    0.0     1.0    0.0     0.0  \n",
       "2018-07-05     0.0    1.0     1.0    0.0     1.0  \n",
       "2018-07-06     0.0    1.0     1.0    1.0     1.0  \n",
       "2018-07-09     0.0    1.0     1.0    1.0     1.0  \n",
       "2018-07-10     0.0    1.0     1.0    1.0     1.0  \n",
       "2018-07-11     0.0    1.0     1.0    1.0     1.0  \n",
       "2018-07-12     0.0    1.0     1.0    1.0     1.0  \n",
       "2018-07-13     0.0    1.0     1.0    1.0     1.0  \n",
       "2018-07-16     0.0    1.0     1.0    1.0     0.0  \n",
       "2018-07-17     0.0    1.0     0.0    0.0     0.0  \n",
       "2018-07-18     0.0    0.0     1.0    0.0     0.0  \n",
       "2018-07-19     0.0    1.0     1.0    0.0     0.0  \n",
       "2018-07-20     0.0    1.0     0.0    0.0     0.0  \n",
       "2018-07-23     0.0    0.0     0.0    0.0     1.0  \n",
       "2018-07-24     0.0    0.0     1.0    1.0     1.0  \n",
       "2018-07-25     0.0    1.0     0.0    1.0     1.0  \n",
       "2018-07-26     0.0    0.0     1.0    1.0     1.0  \n",
       "2018-07-27     1.0    1.0     1.0    1.0     1.0  \n",
       "2018-07-30     1.0    1.0     1.0    1.0     1.0  \n",
       "2018-07-31     1.0    1.0     1.0    1.0     1.0  \n",
       "...            ...    ...     ...    ...     ...  \n",
       "2018-08-16     0.0    0.0     0.0    0.0     0.0  \n",
       "2018-08-17     0.0    0.0     1.0    0.0     0.0  \n",
       "2018-08-20     0.0    1.0     1.0    0.0     1.0  \n",
       "2018-08-21     0.0    1.0     1.0    1.0     0.0  \n",
       "2018-08-22     0.0    1.0     0.0    0.0     0.0  \n",
       "2018-08-23     0.0    0.0     1.0    0.0     0.0  \n",
       "2018-08-24     0.0    1.0     1.0    0.0     0.0  \n",
       "2018-08-27     1.0    1.0     1.0    0.0     0.0  \n",
       "2018-08-28     1.0    1.0     1.0    0.0     1.0  \n",
       "2018-08-29     1.0    1.0     1.0    1.0     0.0  \n",
       "2018-08-30     1.0    1.0     0.0    0.0     0.0  \n",
       "2018-08-31     1.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-03     1.0    0.0     1.0    0.0     0.0  \n",
       "2018-09-04     1.0    1.0     0.0    0.0     0.0  \n",
       "2018-09-05     1.0    0.0     0.0    0.0     1.0  \n",
       "2018-09-06     0.0    0.0     0.0    1.0     0.0  \n",
       "2018-09-07     0.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-10     1.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-11     1.0    0.0     0.0    0.0     1.0  \n",
       "2018-09-12     1.0    0.0     0.0    1.0     0.0  \n",
       "2018-09-13     1.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-14     1.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-17     1.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-18     1.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-19     1.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-20     1.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-21     1.0    0.0     0.0    0.0     0.0  \n",
       "2018-09-27     1.0    0.0     0.0    0.0     1.0  \n",
       "2018-09-28     0.0    0.0     0.0    1.0     1.0  \n",
       "2018-10-01     0.0    0.0     0.0    1.0     0.0  \n",
       "\n",
       "[70 rows x 364 columns]"
      ]
     },
     "execution_count": 186,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res[['y_true','y_true2']].T.swaplevel().sortlevel().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 220,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>AK홀딩스</th>\n",
       "      <th>BNK금융지주</th>\n",
       "      <th>CJ</th>\n",
       "      <th>CJ CGV</th>\n",
       "      <th>CJ대한통운</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>2018-06-20</th>\n",
       "      <td>79700.0</td>\n",
       "      <td>9540.0</td>\n",
       "      <td>142500.0</td>\n",
       "      <td>63300.0</td>\n",
       "      <td>155500.0</td>\n",
       "      <td>349500.0</td>\n",
       "      <td>63500.0</td>\n",
       "      <td>19350.0</td>\n",
       "      <td>26750.0</td>\n",
       "      <td>54900.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44200.0</td>\n",
       "      <td>55100.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>37400.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>9770.0</td>\n",
       "      <td>28500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-21</th>\n",
       "      <td>79000.0</td>\n",
       "      <td>9130.0</td>\n",
       "      <td>140000.0</td>\n",
       "      <td>62000.0</td>\n",
       "      <td>158500.0</td>\n",
       "      <td>350000.0</td>\n",
       "      <td>60500.0</td>\n",
       "      <td>19300.0</td>\n",
       "      <td>25450.0</td>\n",
       "      <td>54500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42650.0</td>\n",
       "      <td>54700.0</td>\n",
       "      <td>106500.0</td>\n",
       "      <td>127000.0</td>\n",
       "      <td>35600.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>122500.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10100.0</td>\n",
       "      <td>28450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-22</th>\n",
       "      <td>76500.0</td>\n",
       "      <td>9330.0</td>\n",
       "      <td>140500.0</td>\n",
       "      <td>64000.0</td>\n",
       "      <td>164000.0</td>\n",
       "      <td>350500.0</td>\n",
       "      <td>60600.0</td>\n",
       "      <td>20700.0</td>\n",
       "      <td>25900.0</td>\n",
       "      <td>54700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43250.0</td>\n",
       "      <td>55100.0</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>36400.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10100.0</td>\n",
       "      <td>28400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-25</th>\n",
       "      <td>75500.0</td>\n",
       "      <td>9440.0</td>\n",
       "      <td>143000.0</td>\n",
       "      <td>67600.0</td>\n",
       "      <td>164500.0</td>\n",
       "      <td>355000.0</td>\n",
       "      <td>60200.0</td>\n",
       "      <td>19650.0</td>\n",
       "      <td>26600.0</td>\n",
       "      <td>55800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42800.0</td>\n",
       "      <td>56800.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>35650.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>122500.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10100.0</td>\n",
       "      <td>28800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-26</th>\n",
       "      <td>76200.0</td>\n",
       "      <td>9490.0</td>\n",
       "      <td>136500.0</td>\n",
       "      <td>67800.0</td>\n",
       "      <td>160000.0</td>\n",
       "      <td>352000.0</td>\n",
       "      <td>59700.0</td>\n",
       "      <td>19800.0</td>\n",
       "      <td>26250.0</td>\n",
       "      <td>55600.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42000.0</td>\n",
       "      <td>55200.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>34800.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>116000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10450.0</td>\n",
       "      <td>29350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-27</th>\n",
       "      <td>74900.0</td>\n",
       "      <td>9250.0</td>\n",
       "      <td>136500.0</td>\n",
       "      <td>66300.0</td>\n",
       "      <td>160000.0</td>\n",
       "      <td>347500.0</td>\n",
       "      <td>59600.0</td>\n",
       "      <td>20350.0</td>\n",
       "      <td>26150.0</td>\n",
       "      <td>54000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40800.0</td>\n",
       "      <td>52300.0</td>\n",
       "      <td>99900.0</td>\n",
       "      <td>127500.0</td>\n",
       "      <td>34600.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>116500.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10350.0</td>\n",
       "      <td>29600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-28</th>\n",
       "      <td>75300.0</td>\n",
       "      <td>9160.0</td>\n",
       "      <td>136500.0</td>\n",
       "      <td>67200.0</td>\n",
       "      <td>163000.0</td>\n",
       "      <td>350500.0</td>\n",
       "      <td>59200.0</td>\n",
       "      <td>19300.0</td>\n",
       "      <td>25950.0</td>\n",
       "      <td>54100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41000.0</td>\n",
       "      <td>51800.0</td>\n",
       "      <td>102000.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>119000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10200.0</td>\n",
       "      <td>29750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-29</th>\n",
       "      <td>75400.0</td>\n",
       "      <td>9350.0</td>\n",
       "      <td>142000.0</td>\n",
       "      <td>67200.0</td>\n",
       "      <td>168000.0</td>\n",
       "      <td>352500.0</td>\n",
       "      <td>59000.0</td>\n",
       "      <td>19600.0</td>\n",
       "      <td>26050.0</td>\n",
       "      <td>54400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40750.0</td>\n",
       "      <td>52600.0</td>\n",
       "      <td>102000.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>33700.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>123500.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10300.0</td>\n",
       "      <td>29250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-02</th>\n",
       "      <td>70200.0</td>\n",
       "      <td>9100.0</td>\n",
       "      <td>139000.0</td>\n",
       "      <td>65100.0</td>\n",
       "      <td>163000.0</td>\n",
       "      <td>347500.0</td>\n",
       "      <td>57300.0</td>\n",
       "      <td>18900.0</td>\n",
       "      <td>25400.0</td>\n",
       "      <td>51000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>39400.0</td>\n",
       "      <td>50400.0</td>\n",
       "      <td>99200.0</td>\n",
       "      <td>123500.0</td>\n",
       "      <td>33200.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>119000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10200.0</td>\n",
       "      <td>29500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-03</th>\n",
       "      <td>70100.0</td>\n",
       "      <td>9080.0</td>\n",
       "      <td>138500.0</td>\n",
       "      <td>66700.0</td>\n",
       "      <td>167500.0</td>\n",
       "      <td>339000.0</td>\n",
       "      <td>59300.0</td>\n",
       "      <td>19050.0</td>\n",
       "      <td>25150.0</td>\n",
       "      <td>51500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>39700.0</td>\n",
       "      <td>50500.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>122000.0</td>\n",
       "      <td>34300.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10250.0</td>\n",
       "      <td>29150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-04</th>\n",
       "      <td>70600.0</td>\n",
       "      <td>8970.0</td>\n",
       "      <td>139000.0</td>\n",
       "      <td>66000.0</td>\n",
       "      <td>172500.0</td>\n",
       "      <td>335500.0</td>\n",
       "      <td>60600.0</td>\n",
       "      <td>18600.0</td>\n",
       "      <td>25300.0</td>\n",
       "      <td>50800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>38050.0</td>\n",
       "      <td>49850.0</td>\n",
       "      <td>99300.0</td>\n",
       "      <td>119500.0</td>\n",
       "      <td>35750.0</td>\n",
       "      <td>114500.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10100.0</td>\n",
       "      <td>28800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-05</th>\n",
       "      <td>71000.0</td>\n",
       "      <td>9080.0</td>\n",
       "      <td>136500.0</td>\n",
       "      <td>64400.0</td>\n",
       "      <td>169500.0</td>\n",
       "      <td>330500.0</td>\n",
       "      <td>60100.0</td>\n",
       "      <td>18650.0</td>\n",
       "      <td>25100.0</td>\n",
       "      <td>51100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>38400.0</td>\n",
       "      <td>49250.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>121500.0</td>\n",
       "      <td>35500.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10200.0</td>\n",
       "      <td>29600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-06</th>\n",
       "      <td>73000.0</td>\n",
       "      <td>9370.0</td>\n",
       "      <td>143500.0</td>\n",
       "      <td>65400.0</td>\n",
       "      <td>168500.0</td>\n",
       "      <td>339500.0</td>\n",
       "      <td>61900.0</td>\n",
       "      <td>18550.0</td>\n",
       "      <td>24550.0</td>\n",
       "      <td>51400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40900.0</td>\n",
       "      <td>50500.0</td>\n",
       "      <td>104500.0</td>\n",
       "      <td>123500.0</td>\n",
       "      <td>36800.0</td>\n",
       "      <td>114000.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10900.0</td>\n",
       "      <td>31150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-09</th>\n",
       "      <td>72900.0</td>\n",
       "      <td>9460.0</td>\n",
       "      <td>144000.0</td>\n",
       "      <td>65800.0</td>\n",
       "      <td>173000.0</td>\n",
       "      <td>335500.0</td>\n",
       "      <td>63100.0</td>\n",
       "      <td>18900.0</td>\n",
       "      <td>24350.0</td>\n",
       "      <td>51400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40550.0</td>\n",
       "      <td>48200.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>124500.0</td>\n",
       "      <td>36550.0</td>\n",
       "      <td>116500.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>10900.0</td>\n",
       "      <td>31200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-10</th>\n",
       "      <td>74400.0</td>\n",
       "      <td>9440.0</td>\n",
       "      <td>143500.0</td>\n",
       "      <td>66400.0</td>\n",
       "      <td>173000.0</td>\n",
       "      <td>336500.0</td>\n",
       "      <td>62100.0</td>\n",
       "      <td>18450.0</td>\n",
       "      <td>25200.0</td>\n",
       "      <td>51400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40800.0</td>\n",
       "      <td>48400.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>123500.0</td>\n",
       "      <td>35550.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>101000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>11050.0</td>\n",
       "      <td>31050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-11</th>\n",
       "      <td>73200.0</td>\n",
       "      <td>9280.0</td>\n",
       "      <td>144500.0</td>\n",
       "      <td>66000.0</td>\n",
       "      <td>172500.0</td>\n",
       "      <td>338500.0</td>\n",
       "      <td>60900.0</td>\n",
       "      <td>18250.0</td>\n",
       "      <td>25250.0</td>\n",
       "      <td>51100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40300.0</td>\n",
       "      <td>48000.0</td>\n",
       "      <td>99500.0</td>\n",
       "      <td>121500.0</td>\n",
       "      <td>34500.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>99900.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>11150.0</td>\n",
       "      <td>31050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-12</th>\n",
       "      <td>75000.0</td>\n",
       "      <td>9060.0</td>\n",
       "      <td>143500.0</td>\n",
       "      <td>65300.0</td>\n",
       "      <td>170500.0</td>\n",
       "      <td>336000.0</td>\n",
       "      <td>61100.0</td>\n",
       "      <td>18350.0</td>\n",
       "      <td>25350.0</td>\n",
       "      <td>50700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40750.0</td>\n",
       "      <td>48050.0</td>\n",
       "      <td>96000.0</td>\n",
       "      <td>123000.0</td>\n",
       "      <td>34200.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>103000.0</td>\n",
       "      <td>45120.754717</td>\n",
       "      <td>11200.0</td>\n",
       "      <td>30650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-13</th>\n",
       "      <td>77700.0</td>\n",
       "      <td>9180.0</td>\n",
       "      <td>148500.0</td>\n",
       "      <td>65500.0</td>\n",
       "      <td>170000.0</td>\n",
       "      <td>342000.0</td>\n",
       "      <td>61500.0</td>\n",
       "      <td>18850.0</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>51800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>40800.0</td>\n",
       "      <td>48950.0</td>\n",
       "      <td>95400.0</td>\n",
       "      <td>122500.0</td>\n",
       "      <td>34300.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>103000.0</td>\n",
       "      <td>56500.000000</td>\n",
       "      <td>11250.0</td>\n",
       "      <td>31200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-16</th>\n",
       "      <td>79000.0</td>\n",
       "      <td>8990.0</td>\n",
       "      <td>148000.0</td>\n",
       "      <td>65300.0</td>\n",
       "      <td>168000.0</td>\n",
       "      <td>331500.0</td>\n",
       "      <td>60300.0</td>\n",
       "      <td>18700.0</td>\n",
       "      <td>24600.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41500.0</td>\n",
       "      <td>48550.0</td>\n",
       "      <td>97100.0</td>\n",
       "      <td>126000.0</td>\n",
       "      <td>34250.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>100500.0</td>\n",
       "      <td>51200.000000</td>\n",
       "      <td>11400.0</td>\n",
       "      <td>31950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-17</th>\n",
       "      <td>80300.0</td>\n",
       "      <td>8910.0</td>\n",
       "      <td>147500.0</td>\n",
       "      <td>64000.0</td>\n",
       "      <td>167500.0</td>\n",
       "      <td>333000.0</td>\n",
       "      <td>60200.0</td>\n",
       "      <td>18850.0</td>\n",
       "      <td>24750.0</td>\n",
       "      <td>51200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43600.0</td>\n",
       "      <td>48950.0</td>\n",
       "      <td>96600.0</td>\n",
       "      <td>126500.0</td>\n",
       "      <td>34000.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>101000.0</td>\n",
       "      <td>51900.000000</td>\n",
       "      <td>11150.0</td>\n",
       "      <td>29850.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-18</th>\n",
       "      <td>78300.0</td>\n",
       "      <td>8770.0</td>\n",
       "      <td>144500.0</td>\n",
       "      <td>64000.0</td>\n",
       "      <td>167000.0</td>\n",
       "      <td>330000.0</td>\n",
       "      <td>60400.0</td>\n",
       "      <td>18600.0</td>\n",
       "      <td>24450.0</td>\n",
       "      <td>52000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42700.0</td>\n",
       "      <td>48000.0</td>\n",
       "      <td>95200.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>33800.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>48200.000000</td>\n",
       "      <td>10850.0</td>\n",
       "      <td>29700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-19</th>\n",
       "      <td>75800.0</td>\n",
       "      <td>8710.0</td>\n",
       "      <td>139000.0</td>\n",
       "      <td>62600.0</td>\n",
       "      <td>155000.0</td>\n",
       "      <td>323000.0</td>\n",
       "      <td>59400.0</td>\n",
       "      <td>18250.0</td>\n",
       "      <td>23950.0</td>\n",
       "      <td>51800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42350.0</td>\n",
       "      <td>47400.0</td>\n",
       "      <td>95400.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>33100.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>92600.0</td>\n",
       "      <td>45350.000000</td>\n",
       "      <td>11500.0</td>\n",
       "      <td>29500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-20</th>\n",
       "      <td>76400.0</td>\n",
       "      <td>8740.0</td>\n",
       "      <td>142500.0</td>\n",
       "      <td>63100.0</td>\n",
       "      <td>161500.0</td>\n",
       "      <td>329500.0</td>\n",
       "      <td>60700.0</td>\n",
       "      <td>18200.0</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>51400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43600.0</td>\n",
       "      <td>48300.0</td>\n",
       "      <td>96900.0</td>\n",
       "      <td>127000.0</td>\n",
       "      <td>34050.0</td>\n",
       "      <td>109500.0</td>\n",
       "      <td>90800.0</td>\n",
       "      <td>44950.000000</td>\n",
       "      <td>11400.0</td>\n",
       "      <td>30100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-23</th>\n",
       "      <td>74900.0</td>\n",
       "      <td>8770.0</td>\n",
       "      <td>143000.0</td>\n",
       "      <td>63100.0</td>\n",
       "      <td>161000.0</td>\n",
       "      <td>332000.0</td>\n",
       "      <td>62800.0</td>\n",
       "      <td>17050.0</td>\n",
       "      <td>24100.0</td>\n",
       "      <td>51700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42650.0</td>\n",
       "      <td>48700.0</td>\n",
       "      <td>99500.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>35950.0</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>91200.0</td>\n",
       "      <td>42950.000000</td>\n",
       "      <td>10900.0</td>\n",
       "      <td>29800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-24</th>\n",
       "      <td>75800.0</td>\n",
       "      <td>8820.0</td>\n",
       "      <td>143000.0</td>\n",
       "      <td>62500.0</td>\n",
       "      <td>155500.0</td>\n",
       "      <td>335000.0</td>\n",
       "      <td>63500.0</td>\n",
       "      <td>17400.0</td>\n",
       "      <td>24350.0</td>\n",
       "      <td>52200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41800.0</td>\n",
       "      <td>49800.0</td>\n",
       "      <td>98200.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>36200.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>97800.0</td>\n",
       "      <td>43500.000000</td>\n",
       "      <td>10950.0</td>\n",
       "      <td>30250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-25</th>\n",
       "      <td>76500.0</td>\n",
       "      <td>8990.0</td>\n",
       "      <td>141000.0</td>\n",
       "      <td>60700.0</td>\n",
       "      <td>156500.0</td>\n",
       "      <td>335000.0</td>\n",
       "      <td>62900.0</td>\n",
       "      <td>17350.0</td>\n",
       "      <td>24350.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41200.0</td>\n",
       "      <td>50200.0</td>\n",
       "      <td>98600.0</td>\n",
       "      <td>130500.0</td>\n",
       "      <td>35500.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>95900.0</td>\n",
       "      <td>43000.000000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>31000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-26</th>\n",
       "      <td>78200.0</td>\n",
       "      <td>8940.0</td>\n",
       "      <td>140000.0</td>\n",
       "      <td>60100.0</td>\n",
       "      <td>157500.0</td>\n",
       "      <td>334000.0</td>\n",
       "      <td>61100.0</td>\n",
       "      <td>16500.0</td>\n",
       "      <td>24350.0</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44000.0</td>\n",
       "      <td>51700.0</td>\n",
       "      <td>104500.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>34950.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>96100.0</td>\n",
       "      <td>42300.000000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>31700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-27</th>\n",
       "      <td>77600.0</td>\n",
       "      <td>8890.0</td>\n",
       "      <td>138500.0</td>\n",
       "      <td>59300.0</td>\n",
       "      <td>156500.0</td>\n",
       "      <td>334500.0</td>\n",
       "      <td>61600.0</td>\n",
       "      <td>17550.0</td>\n",
       "      <td>24050.0</td>\n",
       "      <td>52700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42100.0</td>\n",
       "      <td>51300.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>35450.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>98000.0</td>\n",
       "      <td>42850.000000</td>\n",
       "      <td>11550.0</td>\n",
       "      <td>31850.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-30</th>\n",
       "      <td>75600.0</td>\n",
       "      <td>8920.0</td>\n",
       "      <td>138000.0</td>\n",
       "      <td>60100.0</td>\n",
       "      <td>154000.0</td>\n",
       "      <td>334500.0</td>\n",
       "      <td>63900.0</td>\n",
       "      <td>16750.0</td>\n",
       "      <td>24450.0</td>\n",
       "      <td>53500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44350.0</td>\n",
       "      <td>53800.0</td>\n",
       "      <td>107500.0</td>\n",
       "      <td>130500.0</td>\n",
       "      <td>36600.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>99600.0</td>\n",
       "      <td>44600.000000</td>\n",
       "      <td>11600.0</td>\n",
       "      <td>31050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-31</th>\n",
       "      <td>77200.0</td>\n",
       "      <td>8970.0</td>\n",
       "      <td>140500.0</td>\n",
       "      <td>60100.0</td>\n",
       "      <td>151000.0</td>\n",
       "      <td>338000.0</td>\n",
       "      <td>64500.0</td>\n",
       "      <td>16800.0</td>\n",
       "      <td>24650.0</td>\n",
       "      <td>53800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>47100.0</td>\n",
       "      <td>53700.0</td>\n",
       "      <td>106500.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>36650.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>99800.0</td>\n",
       "      <td>44500.000000</td>\n",
       "      <td>11600.0</td>\n",
       "      <td>31700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-16</th>\n",
       "      <td>72200.0</td>\n",
       "      <td>8250.0</td>\n",
       "      <td>141000.0</td>\n",
       "      <td>53800.0</td>\n",
       "      <td>145000.0</td>\n",
       "      <td>339500.0</td>\n",
       "      <td>68300.0</td>\n",
       "      <td>16600.0</td>\n",
       "      <td>24050.0</td>\n",
       "      <td>53800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45750.0</td>\n",
       "      <td>52900.0</td>\n",
       "      <td>103500.0</td>\n",
       "      <td>126500.0</td>\n",
       "      <td>38600.0</td>\n",
       "      <td>118500.0</td>\n",
       "      <td>99100.0</td>\n",
       "      <td>41750.000000</td>\n",
       "      <td>11500.0</td>\n",
       "      <td>27050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-17</th>\n",
       "      <td>71700.0</td>\n",
       "      <td>8100.0</td>\n",
       "      <td>138500.0</td>\n",
       "      <td>52000.0</td>\n",
       "      <td>143500.0</td>\n",
       "      <td>340500.0</td>\n",
       "      <td>68200.0</td>\n",
       "      <td>16250.0</td>\n",
       "      <td>24450.0</td>\n",
       "      <td>53700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45700.0</td>\n",
       "      <td>53300.0</td>\n",
       "      <td>103000.0</td>\n",
       "      <td>126500.0</td>\n",
       "      <td>38450.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>102000.0</td>\n",
       "      <td>41550.000000</td>\n",
       "      <td>11400.0</td>\n",
       "      <td>26450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-20</th>\n",
       "      <td>71000.0</td>\n",
       "      <td>8220.0</td>\n",
       "      <td>137500.0</td>\n",
       "      <td>51100.0</td>\n",
       "      <td>147500.0</td>\n",
       "      <td>337000.0</td>\n",
       "      <td>68500.0</td>\n",
       "      <td>16200.0</td>\n",
       "      <td>24550.0</td>\n",
       "      <td>54200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>47300.0</td>\n",
       "      <td>54200.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>127500.0</td>\n",
       "      <td>38600.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>97800.0</td>\n",
       "      <td>41500.000000</td>\n",
       "      <td>11600.0</td>\n",
       "      <td>25750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-21</th>\n",
       "      <td>70500.0</td>\n",
       "      <td>8280.0</td>\n",
       "      <td>140000.0</td>\n",
       "      <td>52200.0</td>\n",
       "      <td>152000.0</td>\n",
       "      <td>337000.0</td>\n",
       "      <td>67800.0</td>\n",
       "      <td>16950.0</td>\n",
       "      <td>24500.0</td>\n",
       "      <td>54500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45400.0</td>\n",
       "      <td>53900.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>38000.0</td>\n",
       "      <td>114500.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>42450.000000</td>\n",
       "      <td>11600.0</td>\n",
       "      <td>26500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-22</th>\n",
       "      <td>69100.0</td>\n",
       "      <td>8260.0</td>\n",
       "      <td>139000.0</td>\n",
       "      <td>52800.0</td>\n",
       "      <td>154500.0</td>\n",
       "      <td>337500.0</td>\n",
       "      <td>67000.0</td>\n",
       "      <td>17100.0</td>\n",
       "      <td>24450.0</td>\n",
       "      <td>53800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44200.0</td>\n",
       "      <td>53800.0</td>\n",
       "      <td>117000.0</td>\n",
       "      <td>126000.0</td>\n",
       "      <td>37200.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>100000.0</td>\n",
       "      <td>41550.000000</td>\n",
       "      <td>11400.0</td>\n",
       "      <td>25400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-23</th>\n",
       "      <td>67900.0</td>\n",
       "      <td>8200.0</td>\n",
       "      <td>136000.0</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>157000.0</td>\n",
       "      <td>337500.0</td>\n",
       "      <td>67300.0</td>\n",
       "      <td>17250.0</td>\n",
       "      <td>24550.0</td>\n",
       "      <td>53200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43500.0</td>\n",
       "      <td>52800.0</td>\n",
       "      <td>115000.0</td>\n",
       "      <td>124500.0</td>\n",
       "      <td>37550.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>105500.0</td>\n",
       "      <td>40450.000000</td>\n",
       "      <td>11300.0</td>\n",
       "      <td>25400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-24</th>\n",
       "      <td>67200.0</td>\n",
       "      <td>8220.0</td>\n",
       "      <td>134500.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>154500.0</td>\n",
       "      <td>338500.0</td>\n",
       "      <td>66100.0</td>\n",
       "      <td>17250.0</td>\n",
       "      <td>24400.0</td>\n",
       "      <td>53600.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43200.0</td>\n",
       "      <td>52800.0</td>\n",
       "      <td>114000.0</td>\n",
       "      <td>124500.0</td>\n",
       "      <td>37650.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>107500.0</td>\n",
       "      <td>41400.000000</td>\n",
       "      <td>11800.0</td>\n",
       "      <td>25500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-27</th>\n",
       "      <td>67200.0</td>\n",
       "      <td>8200.0</td>\n",
       "      <td>135000.0</td>\n",
       "      <td>55400.0</td>\n",
       "      <td>154000.0</td>\n",
       "      <td>341000.0</td>\n",
       "      <td>63300.0</td>\n",
       "      <td>17300.0</td>\n",
       "      <td>24000.0</td>\n",
       "      <td>54000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42750.0</td>\n",
       "      <td>52100.0</td>\n",
       "      <td>115000.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>36250.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>107000.0</td>\n",
       "      <td>41250.000000</td>\n",
       "      <td>12050.0</td>\n",
       "      <td>25500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-28</th>\n",
       "      <td>67400.0</td>\n",
       "      <td>8300.0</td>\n",
       "      <td>135000.0</td>\n",
       "      <td>54600.0</td>\n",
       "      <td>153500.0</td>\n",
       "      <td>349000.0</td>\n",
       "      <td>63900.0</td>\n",
       "      <td>17700.0</td>\n",
       "      <td>24200.0</td>\n",
       "      <td>54400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>45450.0</td>\n",
       "      <td>52600.0</td>\n",
       "      <td>118500.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>36950.0</td>\n",
       "      <td>114500.0</td>\n",
       "      <td>105500.0</td>\n",
       "      <td>42600.000000</td>\n",
       "      <td>11900.0</td>\n",
       "      <td>25700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-29</th>\n",
       "      <td>67000.0</td>\n",
       "      <td>8290.0</td>\n",
       "      <td>135500.0</td>\n",
       "      <td>54100.0</td>\n",
       "      <td>153500.0</td>\n",
       "      <td>343000.0</td>\n",
       "      <td>63300.0</td>\n",
       "      <td>18250.0</td>\n",
       "      <td>24150.0</td>\n",
       "      <td>54800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44900.0</td>\n",
       "      <td>53200.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>36600.0</td>\n",
       "      <td>114000.0</td>\n",
       "      <td>106500.0</td>\n",
       "      <td>42650.000000</td>\n",
       "      <td>11900.0</td>\n",
       "      <td>25450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30</th>\n",
       "      <td>66000.0</td>\n",
       "      <td>8250.0</td>\n",
       "      <td>132500.0</td>\n",
       "      <td>53500.0</td>\n",
       "      <td>153000.0</td>\n",
       "      <td>339500.0</td>\n",
       "      <td>62900.0</td>\n",
       "      <td>18300.0</td>\n",
       "      <td>24050.0</td>\n",
       "      <td>53400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43450.0</td>\n",
       "      <td>53500.0</td>\n",
       "      <td>119000.0</td>\n",
       "      <td>123500.0</td>\n",
       "      <td>36950.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>45100.000000</td>\n",
       "      <td>11800.0</td>\n",
       "      <td>25050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31</th>\n",
       "      <td>67200.0</td>\n",
       "      <td>8340.0</td>\n",
       "      <td>132000.0</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>154000.0</td>\n",
       "      <td>342500.0</td>\n",
       "      <td>64000.0</td>\n",
       "      <td>18350.0</td>\n",
       "      <td>24150.0</td>\n",
       "      <td>53100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42650.0</td>\n",
       "      <td>53300.0</td>\n",
       "      <td>118000.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>37200.0</td>\n",
       "      <td>113500.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>45900.000000</td>\n",
       "      <td>11600.0</td>\n",
       "      <td>25350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-03</th>\n",
       "      <td>66300.0</td>\n",
       "      <td>8310.0</td>\n",
       "      <td>132000.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>152000.0</td>\n",
       "      <td>345000.0</td>\n",
       "      <td>63300.0</td>\n",
       "      <td>18400.0</td>\n",
       "      <td>24250.0</td>\n",
       "      <td>52800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42400.0</td>\n",
       "      <td>51800.0</td>\n",
       "      <td>120000.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>36800.0</td>\n",
       "      <td>114000.0</td>\n",
       "      <td>107000.0</td>\n",
       "      <td>45500.000000</td>\n",
       "      <td>11650.0</td>\n",
       "      <td>25200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-04</th>\n",
       "      <td>65300.0</td>\n",
       "      <td>8270.0</td>\n",
       "      <td>133500.0</td>\n",
       "      <td>52900.0</td>\n",
       "      <td>148000.0</td>\n",
       "      <td>337000.0</td>\n",
       "      <td>63800.0</td>\n",
       "      <td>18400.0</td>\n",
       "      <td>24400.0</td>\n",
       "      <td>52400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43050.0</td>\n",
       "      <td>52300.0</td>\n",
       "      <td>118500.0</td>\n",
       "      <td>126500.0</td>\n",
       "      <td>36850.0</td>\n",
       "      <td>114000.0</td>\n",
       "      <td>105000.0</td>\n",
       "      <td>44600.000000</td>\n",
       "      <td>11900.0</td>\n",
       "      <td>25000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-05</th>\n",
       "      <td>66000.0</td>\n",
       "      <td>8210.0</td>\n",
       "      <td>132500.0</td>\n",
       "      <td>52900.0</td>\n",
       "      <td>152000.0</td>\n",
       "      <td>334000.0</td>\n",
       "      <td>63900.0</td>\n",
       "      <td>18450.0</td>\n",
       "      <td>24200.0</td>\n",
       "      <td>51800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44000.0</td>\n",
       "      <td>52300.0</td>\n",
       "      <td>120500.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>36950.0</td>\n",
       "      <td>112500.0</td>\n",
       "      <td>102500.0</td>\n",
       "      <td>44300.000000</td>\n",
       "      <td>11400.0</td>\n",
       "      <td>24950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-06</th>\n",
       "      <td>65000.0</td>\n",
       "      <td>8170.0</td>\n",
       "      <td>133500.0</td>\n",
       "      <td>52400.0</td>\n",
       "      <td>155500.0</td>\n",
       "      <td>332500.0</td>\n",
       "      <td>64500.0</td>\n",
       "      <td>17850.0</td>\n",
       "      <td>23750.0</td>\n",
       "      <td>51100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44450.0</td>\n",
       "      <td>52900.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>134000.0</td>\n",
       "      <td>37050.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>100500.0</td>\n",
       "      <td>45300.000000</td>\n",
       "      <td>11400.0</td>\n",
       "      <td>25050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-07</th>\n",
       "      <td>63500.0</td>\n",
       "      <td>8320.0</td>\n",
       "      <td>133500.0</td>\n",
       "      <td>52000.0</td>\n",
       "      <td>161500.0</td>\n",
       "      <td>332500.0</td>\n",
       "      <td>64500.0</td>\n",
       "      <td>17800.0</td>\n",
       "      <td>23800.0</td>\n",
       "      <td>51700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44800.0</td>\n",
       "      <td>54300.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>133000.0</td>\n",
       "      <td>36950.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>101500.0</td>\n",
       "      <td>44100.000000</td>\n",
       "      <td>11200.0</td>\n",
       "      <td>25100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-10</th>\n",
       "      <td>61700.0</td>\n",
       "      <td>8400.0</td>\n",
       "      <td>133000.0</td>\n",
       "      <td>51000.0</td>\n",
       "      <td>167000.0</td>\n",
       "      <td>333500.0</td>\n",
       "      <td>64000.0</td>\n",
       "      <td>17200.0</td>\n",
       "      <td>23350.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>44200.0</td>\n",
       "      <td>56200.0</td>\n",
       "      <td>125000.0</td>\n",
       "      <td>131000.0</td>\n",
       "      <td>36400.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>98200.0</td>\n",
       "      <td>44750.000000</td>\n",
       "      <td>11100.0</td>\n",
       "      <td>24750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-11</th>\n",
       "      <td>61600.0</td>\n",
       "      <td>8350.0</td>\n",
       "      <td>133500.0</td>\n",
       "      <td>51000.0</td>\n",
       "      <td>165000.0</td>\n",
       "      <td>328000.0</td>\n",
       "      <td>63800.0</td>\n",
       "      <td>16800.0</td>\n",
       "      <td>23450.0</td>\n",
       "      <td>53000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43400.0</td>\n",
       "      <td>53800.0</td>\n",
       "      <td>124000.0</td>\n",
       "      <td>128000.0</td>\n",
       "      <td>36500.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>99000.0</td>\n",
       "      <td>46700.000000</td>\n",
       "      <td>11450.0</td>\n",
       "      <td>24800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-12</th>\n",
       "      <td>62200.0</td>\n",
       "      <td>8330.0</td>\n",
       "      <td>133500.0</td>\n",
       "      <td>51900.0</td>\n",
       "      <td>166500.0</td>\n",
       "      <td>326500.0</td>\n",
       "      <td>63700.0</td>\n",
       "      <td>17150.0</td>\n",
       "      <td>23700.0</td>\n",
       "      <td>53100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43050.0</td>\n",
       "      <td>53800.0</td>\n",
       "      <td>127000.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>36050.0</td>\n",
       "      <td>112000.0</td>\n",
       "      <td>101000.0</td>\n",
       "      <td>47200.000000</td>\n",
       "      <td>11050.0</td>\n",
       "      <td>25300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-13</th>\n",
       "      <td>62400.0</td>\n",
       "      <td>8390.0</td>\n",
       "      <td>134000.0</td>\n",
       "      <td>52900.0</td>\n",
       "      <td>166000.0</td>\n",
       "      <td>332000.0</td>\n",
       "      <td>62400.0</td>\n",
       "      <td>17000.0</td>\n",
       "      <td>24300.0</td>\n",
       "      <td>52200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>43200.0</td>\n",
       "      <td>54300.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>128500.0</td>\n",
       "      <td>35550.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>103500.0</td>\n",
       "      <td>47150.000000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>24900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-14</th>\n",
       "      <td>64300.0</td>\n",
       "      <td>8390.0</td>\n",
       "      <td>139000.0</td>\n",
       "      <td>54700.0</td>\n",
       "      <td>165500.0</td>\n",
       "      <td>327500.0</td>\n",
       "      <td>62800.0</td>\n",
       "      <td>17350.0</td>\n",
       "      <td>24850.0</td>\n",
       "      <td>53400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42900.0</td>\n",
       "      <td>54300.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>36850.0</td>\n",
       "      <td>114000.0</td>\n",
       "      <td>106500.0</td>\n",
       "      <td>47200.000000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>25050.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-17</th>\n",
       "      <td>63300.0</td>\n",
       "      <td>8370.0</td>\n",
       "      <td>136000.0</td>\n",
       "      <td>53600.0</td>\n",
       "      <td>164500.0</td>\n",
       "      <td>327500.0</td>\n",
       "      <td>62900.0</td>\n",
       "      <td>16900.0</td>\n",
       "      <td>25500.0</td>\n",
       "      <td>52900.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42200.0</td>\n",
       "      <td>53700.0</td>\n",
       "      <td>130500.0</td>\n",
       "      <td>128500.0</td>\n",
       "      <td>36750.0</td>\n",
       "      <td>113000.0</td>\n",
       "      <td>106000.0</td>\n",
       "      <td>46100.000000</td>\n",
       "      <td>10850.0</td>\n",
       "      <td>24450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-18</th>\n",
       "      <td>62400.0</td>\n",
       "      <td>8210.0</td>\n",
       "      <td>135500.0</td>\n",
       "      <td>54200.0</td>\n",
       "      <td>162000.0</td>\n",
       "      <td>325500.0</td>\n",
       "      <td>62600.0</td>\n",
       "      <td>16900.0</td>\n",
       "      <td>25600.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42400.0</td>\n",
       "      <td>54600.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>128000.0</td>\n",
       "      <td>36150.0</td>\n",
       "      <td>114000.0</td>\n",
       "      <td>108500.0</td>\n",
       "      <td>47800.000000</td>\n",
       "      <td>11000.0</td>\n",
       "      <td>24450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-19</th>\n",
       "      <td>61800.0</td>\n",
       "      <td>8200.0</td>\n",
       "      <td>133000.0</td>\n",
       "      <td>52600.0</td>\n",
       "      <td>162000.0</td>\n",
       "      <td>325500.0</td>\n",
       "      <td>64100.0</td>\n",
       "      <td>16750.0</td>\n",
       "      <td>25050.0</td>\n",
       "      <td>52300.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41300.0</td>\n",
       "      <td>54800.0</td>\n",
       "      <td>125500.0</td>\n",
       "      <td>126500.0</td>\n",
       "      <td>36400.0</td>\n",
       "      <td>111500.0</td>\n",
       "      <td>108500.0</td>\n",
       "      <td>48300.000000</td>\n",
       "      <td>10800.0</td>\n",
       "      <td>24100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-20</th>\n",
       "      <td>60600.0</td>\n",
       "      <td>8240.0</td>\n",
       "      <td>133500.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>158000.0</td>\n",
       "      <td>328000.0</td>\n",
       "      <td>65100.0</td>\n",
       "      <td>16500.0</td>\n",
       "      <td>25150.0</td>\n",
       "      <td>52000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42150.0</td>\n",
       "      <td>55300.0</td>\n",
       "      <td>130000.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>36750.0</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>105500.0</td>\n",
       "      <td>48250.000000</td>\n",
       "      <td>10750.0</td>\n",
       "      <td>23950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-21</th>\n",
       "      <td>60300.0</td>\n",
       "      <td>8340.0</td>\n",
       "      <td>135500.0</td>\n",
       "      <td>52500.0</td>\n",
       "      <td>158000.0</td>\n",
       "      <td>331000.0</td>\n",
       "      <td>66700.0</td>\n",
       "      <td>16450.0</td>\n",
       "      <td>24650.0</td>\n",
       "      <td>52000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42050.0</td>\n",
       "      <td>57300.0</td>\n",
       "      <td>128000.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>37850.0</td>\n",
       "      <td>110500.0</td>\n",
       "      <td>104500.0</td>\n",
       "      <td>48350.000000</td>\n",
       "      <td>10700.0</td>\n",
       "      <td>24500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-27</th>\n",
       "      <td>62000.0</td>\n",
       "      <td>8500.0</td>\n",
       "      <td>134000.0</td>\n",
       "      <td>52400.0</td>\n",
       "      <td>156000.0</td>\n",
       "      <td>330500.0</td>\n",
       "      <td>71500.0</td>\n",
       "      <td>15850.0</td>\n",
       "      <td>25000.0</td>\n",
       "      <td>54000.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42550.0</td>\n",
       "      <td>57300.0</td>\n",
       "      <td>134500.0</td>\n",
       "      <td>130500.0</td>\n",
       "      <td>40850.0</td>\n",
       "      <td>109500.0</td>\n",
       "      <td>109000.0</td>\n",
       "      <td>47750.000000</td>\n",
       "      <td>10700.0</td>\n",
       "      <td>24150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-28</th>\n",
       "      <td>61200.0</td>\n",
       "      <td>8600.0</td>\n",
       "      <td>135000.0</td>\n",
       "      <td>51900.0</td>\n",
       "      <td>158000.0</td>\n",
       "      <td>333500.0</td>\n",
       "      <td>72800.0</td>\n",
       "      <td>15800.0</td>\n",
       "      <td>24950.0</td>\n",
       "      <td>55100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>42350.0</td>\n",
       "      <td>56500.0</td>\n",
       "      <td>134500.0</td>\n",
       "      <td>129500.0</td>\n",
       "      <td>41950.0</td>\n",
       "      <td>111000.0</td>\n",
       "      <td>108500.0</td>\n",
       "      <td>48000.000000</td>\n",
       "      <td>10650.0</td>\n",
       "      <td>24950.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>59500.0</td>\n",
       "      <td>8660.0</td>\n",
       "      <td>135500.0</td>\n",
       "      <td>51900.0</td>\n",
       "      <td>158000.0</td>\n",
       "      <td>331500.0</td>\n",
       "      <td>73700.0</td>\n",
       "      <td>15650.0</td>\n",
       "      <td>24800.0</td>\n",
       "      <td>55500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>41850.0</td>\n",
       "      <td>56100.0</td>\n",
       "      <td>136500.0</td>\n",
       "      <td>129000.0</td>\n",
       "      <td>42000.0</td>\n",
       "      <td>110000.0</td>\n",
       "      <td>108000.0</td>\n",
       "      <td>46700.000000</td>\n",
       "      <td>10400.0</td>\n",
       "      <td>24700.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 182 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "              AK홀딩스  BNK금융지주        CJ   CJ CGV    CJ대한통운    CJ제일제당   DB손해보험  \\\n",
       "Date                                                                           \n",
       "2018-06-20  79700.0   9540.0  142500.0  63300.0  155500.0  349500.0  63500.0   \n",
       "2018-06-21  79000.0   9130.0  140000.0  62000.0  158500.0  350000.0  60500.0   \n",
       "2018-06-22  76500.0   9330.0  140500.0  64000.0  164000.0  350500.0  60600.0   \n",
       "2018-06-25  75500.0   9440.0  143000.0  67600.0  164500.0  355000.0  60200.0   \n",
       "2018-06-26  76200.0   9490.0  136500.0  67800.0  160000.0  352000.0  59700.0   \n",
       "2018-06-27  74900.0   9250.0  136500.0  66300.0  160000.0  347500.0  59600.0   \n",
       "2018-06-28  75300.0   9160.0  136500.0  67200.0  163000.0  350500.0  59200.0   \n",
       "2018-06-29  75400.0   9350.0  142000.0  67200.0  168000.0  352500.0  59000.0   \n",
       "2018-07-02  70200.0   9100.0  139000.0  65100.0  163000.0  347500.0  57300.0   \n",
       "2018-07-03  70100.0   9080.0  138500.0  66700.0  167500.0  339000.0  59300.0   \n",
       "2018-07-04  70600.0   8970.0  139000.0  66000.0  172500.0  335500.0  60600.0   \n",
       "2018-07-05  71000.0   9080.0  136500.0  64400.0  169500.0  330500.0  60100.0   \n",
       "2018-07-06  73000.0   9370.0  143500.0  65400.0  168500.0  339500.0  61900.0   \n",
       "2018-07-09  72900.0   9460.0  144000.0  65800.0  173000.0  335500.0  63100.0   \n",
       "2018-07-10  74400.0   9440.0  143500.0  66400.0  173000.0  336500.0  62100.0   \n",
       "2018-07-11  73200.0   9280.0  144500.0  66000.0  172500.0  338500.0  60900.0   \n",
       "2018-07-12  75000.0   9060.0  143500.0  65300.0  170500.0  336000.0  61100.0   \n",
       "2018-07-13  77700.0   9180.0  148500.0  65500.0  170000.0  342000.0  61500.0   \n",
       "2018-07-16  79000.0   8990.0  148000.0  65300.0  168000.0  331500.0  60300.0   \n",
       "2018-07-17  80300.0   8910.0  147500.0  64000.0  167500.0  333000.0  60200.0   \n",
       "2018-07-18  78300.0   8770.0  144500.0  64000.0  167000.0  330000.0  60400.0   \n",
       "2018-07-19  75800.0   8710.0  139000.0  62600.0  155000.0  323000.0  59400.0   \n",
       "2018-07-20  76400.0   8740.0  142500.0  63100.0  161500.0  329500.0  60700.0   \n",
       "2018-07-23  74900.0   8770.0  143000.0  63100.0  161000.0  332000.0  62800.0   \n",
       "2018-07-24  75800.0   8820.0  143000.0  62500.0  155500.0  335000.0  63500.0   \n",
       "2018-07-25  76500.0   8990.0  141000.0  60700.0  156500.0  335000.0  62900.0   \n",
       "2018-07-26  78200.0   8940.0  140000.0  60100.0  157500.0  334000.0  61100.0   \n",
       "2018-07-27  77600.0   8890.0  138500.0  59300.0  156500.0  334500.0  61600.0   \n",
       "2018-07-30  75600.0   8920.0  138000.0  60100.0  154000.0  334500.0  63900.0   \n",
       "2018-07-31  77200.0   8970.0  140500.0  60100.0  151000.0  338000.0  64500.0   \n",
       "...             ...      ...       ...      ...       ...       ...      ...   \n",
       "2018-08-16  72200.0   8250.0  141000.0  53800.0  145000.0  339500.0  68300.0   \n",
       "2018-08-17  71700.0   8100.0  138500.0  52000.0  143500.0  340500.0  68200.0   \n",
       "2018-08-20  71000.0   8220.0  137500.0  51100.0  147500.0  337000.0  68500.0   \n",
       "2018-08-21  70500.0   8280.0  140000.0  52200.0  152000.0  337000.0  67800.0   \n",
       "2018-08-22  69100.0   8260.0  139000.0  52800.0  154500.0  337500.0  67000.0   \n",
       "2018-08-23  67900.0   8200.0  136000.0  53000.0  157000.0  337500.0  67300.0   \n",
       "2018-08-24  67200.0   8220.0  134500.0  52500.0  154500.0  338500.0  66100.0   \n",
       "2018-08-27  67200.0   8200.0  135000.0  55400.0  154000.0  341000.0  63300.0   \n",
       "2018-08-28  67400.0   8300.0  135000.0  54600.0  153500.0  349000.0  63900.0   \n",
       "2018-08-29  67000.0   8290.0  135500.0  54100.0  153500.0  343000.0  63300.0   \n",
       "2018-08-30  66000.0   8250.0  132500.0  53500.0  153000.0  339500.0  62900.0   \n",
       "2018-08-31  67200.0   8340.0  132000.0  53000.0  154000.0  342500.0  64000.0   \n",
       "2018-09-03  66300.0   8310.0  132000.0  52500.0  152000.0  345000.0  63300.0   \n",
       "2018-09-04  65300.0   8270.0  133500.0  52900.0  148000.0  337000.0  63800.0   \n",
       "2018-09-05  66000.0   8210.0  132500.0  52900.0  152000.0  334000.0  63900.0   \n",
       "2018-09-06  65000.0   8170.0  133500.0  52400.0  155500.0  332500.0  64500.0   \n",
       "2018-09-07  63500.0   8320.0  133500.0  52000.0  161500.0  332500.0  64500.0   \n",
       "2018-09-10  61700.0   8400.0  133000.0  51000.0  167000.0  333500.0  64000.0   \n",
       "2018-09-11  61600.0   8350.0  133500.0  51000.0  165000.0  328000.0  63800.0   \n",
       "2018-09-12  62200.0   8330.0  133500.0  51900.0  166500.0  326500.0  63700.0   \n",
       "2018-09-13  62400.0   8390.0  134000.0  52900.0  166000.0  332000.0  62400.0   \n",
       "2018-09-14  64300.0   8390.0  139000.0  54700.0  165500.0  327500.0  62800.0   \n",
       "2018-09-17  63300.0   8370.0  136000.0  53600.0  164500.0  327500.0  62900.0   \n",
       "2018-09-18  62400.0   8210.0  135500.0  54200.0  162000.0  325500.0  62600.0   \n",
       "2018-09-19  61800.0   8200.0  133000.0  52600.0  162000.0  325500.0  64100.0   \n",
       "2018-09-20  60600.0   8240.0  133500.0  52500.0  158000.0  328000.0  65100.0   \n",
       "2018-09-21  60300.0   8340.0  135500.0  52500.0  158000.0  331000.0  66700.0   \n",
       "2018-09-27  62000.0   8500.0  134000.0  52400.0  156000.0  330500.0  71500.0   \n",
       "2018-09-28  61200.0   8600.0  135000.0  51900.0  158000.0  333500.0  72800.0   \n",
       "2018-10-01  59500.0   8660.0  135500.0  51900.0  158000.0  331500.0  73700.0   \n",
       "\n",
       "              DB하이텍      GKL       GS   ...        현대위아     현대제철     현대중공업  \\\n",
       "Date                                    ...                                  \n",
       "2018-06-20  19350.0  26750.0  54900.0   ...     44200.0  55100.0  108000.0   \n",
       "2018-06-21  19300.0  25450.0  54500.0   ...     42650.0  54700.0  106500.0   \n",
       "2018-06-22  20700.0  25900.0  54700.0   ...     43250.0  55100.0  110500.0   \n",
       "2018-06-25  19650.0  26600.0  55800.0   ...     42800.0  56800.0  111500.0   \n",
       "2018-06-26  19800.0  26250.0  55600.0   ...     42000.0  55200.0  108000.0   \n",
       "2018-06-27  20350.0  26150.0  54000.0   ...     40800.0  52300.0   99900.0   \n",
       "2018-06-28  19300.0  25950.0  54100.0   ...     41000.0  51800.0  102000.0   \n",
       "2018-06-29  19600.0  26050.0  54400.0   ...     40750.0  52600.0  102000.0   \n",
       "2018-07-02  18900.0  25400.0  51000.0   ...     39400.0  50400.0   99200.0   \n",
       "2018-07-03  19050.0  25150.0  51500.0   ...     39700.0  50500.0  100000.0   \n",
       "2018-07-04  18600.0  25300.0  50800.0   ...     38050.0  49850.0   99300.0   \n",
       "2018-07-05  18650.0  25100.0  51100.0   ...     38400.0  49250.0  101500.0   \n",
       "2018-07-06  18550.0  24550.0  51400.0   ...     40900.0  50500.0  104500.0   \n",
       "2018-07-09  18900.0  24350.0  51400.0   ...     40550.0  48200.0  101500.0   \n",
       "2018-07-10  18450.0  25200.0  51400.0   ...     40800.0  48400.0  101500.0   \n",
       "2018-07-11  18250.0  25250.0  51100.0   ...     40300.0  48000.0   99500.0   \n",
       "2018-07-12  18350.0  25350.0  50700.0   ...     40750.0  48050.0   96000.0   \n",
       "2018-07-13  18850.0  25000.0  51800.0   ...     40800.0  48950.0   95400.0   \n",
       "2018-07-16  18700.0  24600.0  52500.0   ...     41500.0  48550.0   97100.0   \n",
       "2018-07-17  18850.0  24750.0  51200.0   ...     43600.0  48950.0   96600.0   \n",
       "2018-07-18  18600.0  24450.0  52000.0   ...     42700.0  48000.0   95200.0   \n",
       "2018-07-19  18250.0  23950.0  51800.0   ...     42350.0  47400.0   95400.0   \n",
       "2018-07-20  18200.0  24000.0  51400.0   ...     43600.0  48300.0   96900.0   \n",
       "2018-07-23  17050.0  24100.0  51700.0   ...     42650.0  48700.0   99500.0   \n",
       "2018-07-24  17400.0  24350.0  52200.0   ...     41800.0  49800.0   98200.0   \n",
       "2018-07-25  17350.0  24350.0  52500.0   ...     41200.0  50200.0   98600.0   \n",
       "2018-07-26  16500.0  24350.0  53000.0   ...     44000.0  51700.0  104500.0   \n",
       "2018-07-27  17550.0  24050.0  52700.0   ...     42100.0  51300.0  106000.0   \n",
       "2018-07-30  16750.0  24450.0  53500.0   ...     44350.0  53800.0  107500.0   \n",
       "2018-07-31  16800.0  24650.0  53800.0   ...     47100.0  53700.0  106500.0   \n",
       "...             ...      ...      ...   ...         ...      ...       ...   \n",
       "2018-08-16  16600.0  24050.0  53800.0   ...     45750.0  52900.0  103500.0   \n",
       "2018-08-17  16250.0  24450.0  53700.0   ...     45700.0  53300.0  103000.0   \n",
       "2018-08-20  16200.0  24550.0  54200.0   ...     47300.0  54200.0  112500.0   \n",
       "2018-08-21  16950.0  24500.0  54500.0   ...     45400.0  53900.0  111500.0   \n",
       "2018-08-22  17100.0  24450.0  53800.0   ...     44200.0  53800.0  117000.0   \n",
       "2018-08-23  17250.0  24550.0  53200.0   ...     43500.0  52800.0  115000.0   \n",
       "2018-08-24  17250.0  24400.0  53600.0   ...     43200.0  52800.0  114000.0   \n",
       "2018-08-27  17300.0  24000.0  54000.0   ...     42750.0  52100.0  115000.0   \n",
       "2018-08-28  17700.0  24200.0  54400.0   ...     45450.0  52600.0  118500.0   \n",
       "2018-08-29  18250.0  24150.0  54800.0   ...     44900.0  53200.0  120000.0   \n",
       "2018-08-30  18300.0  24050.0  53400.0   ...     43450.0  53500.0  119000.0   \n",
       "2018-08-31  18350.0  24150.0  53100.0   ...     42650.0  53300.0  118000.0   \n",
       "2018-09-03  18400.0  24250.0  52800.0   ...     42400.0  51800.0  120000.0   \n",
       "2018-09-04  18400.0  24400.0  52400.0   ...     43050.0  52300.0  118500.0   \n",
       "2018-09-05  18450.0  24200.0  51800.0   ...     44000.0  52300.0  120500.0   \n",
       "2018-09-06  17850.0  23750.0  51100.0   ...     44450.0  52900.0  124000.0   \n",
       "2018-09-07  17800.0  23800.0  51700.0   ...     44800.0  54300.0  125500.0   \n",
       "2018-09-10  17200.0  23350.0  52500.0   ...     44200.0  56200.0  125000.0   \n",
       "2018-09-11  16800.0  23450.0  53000.0   ...     43400.0  53800.0  124000.0   \n",
       "2018-09-12  17150.0  23700.0  53100.0   ...     43050.0  53800.0  127000.0   \n",
       "2018-09-13  17000.0  24300.0  52200.0   ...     43200.0  54300.0  129000.0   \n",
       "2018-09-14  17350.0  24850.0  53400.0   ...     42900.0  54300.0  129500.0   \n",
       "2018-09-17  16900.0  25500.0  52900.0   ...     42200.0  53700.0  130500.0   \n",
       "2018-09-18  16900.0  25600.0  52500.0   ...     42400.0  54600.0  129000.0   \n",
       "2018-09-19  16750.0  25050.0  52300.0   ...     41300.0  54800.0  125500.0   \n",
       "2018-09-20  16500.0  25150.0  52000.0   ...     42150.0  55300.0  130000.0   \n",
       "2018-09-21  16450.0  24650.0  52000.0   ...     42050.0  57300.0  128000.0   \n",
       "2018-09-27  15850.0  25000.0  54000.0   ...     42550.0  57300.0  134500.0   \n",
       "2018-09-28  15800.0  24950.0  55100.0   ...     42350.0  56500.0  134500.0   \n",
       "2018-10-01  15650.0  24800.0  55500.0   ...     41850.0  56100.0  136500.0   \n",
       "\n",
       "                 현대차     현대해상     현대홈쇼핑      호텔신라            효성       후성  \\\n",
       "Date                                                                       \n",
       "2018-06-20  129500.0  37400.0  112500.0  125000.0  45120.754717   9770.0   \n",
       "2018-06-21  127000.0  35600.0  113000.0  122500.0  45120.754717  10100.0   \n",
       "2018-06-22  130000.0  36400.0  112500.0  125000.0  45120.754717  10100.0   \n",
       "2018-06-25  129000.0  35650.0  112000.0  122500.0  45120.754717  10100.0   \n",
       "2018-06-26  129500.0  34800.0  112000.0  116000.0  45120.754717  10450.0   \n",
       "2018-06-27  127500.0  34600.0  112500.0  116500.0  45120.754717  10350.0   \n",
       "2018-06-28  125000.0  34000.0  111000.0  119000.0  45120.754717  10200.0   \n",
       "2018-06-29  125500.0  33700.0  112500.0  123500.0  45120.754717  10300.0   \n",
       "2018-07-02  123500.0  33200.0  112500.0  119000.0  45120.754717  10200.0   \n",
       "2018-07-03  122000.0  34300.0  112500.0  111500.0  45120.754717  10250.0   \n",
       "2018-07-04  119500.0  35750.0  114500.0  108000.0  45120.754717  10100.0   \n",
       "2018-07-05  121500.0  35500.0  113500.0  108000.0  45120.754717  10200.0   \n",
       "2018-07-06  123500.0  36800.0  114000.0  112500.0  45120.754717  10900.0   \n",
       "2018-07-09  124500.0  36550.0  116500.0  100000.0  45120.754717  10900.0   \n",
       "2018-07-10  123500.0  35550.0  113500.0  101000.0  45120.754717  11050.0   \n",
       "2018-07-11  121500.0  34500.0  112000.0   99900.0  45120.754717  11150.0   \n",
       "2018-07-12  123000.0  34200.0  111500.0  103000.0  45120.754717  11200.0   \n",
       "2018-07-13  122500.0  34300.0  110000.0  103000.0  56500.000000  11250.0   \n",
       "2018-07-16  126000.0  34250.0  111000.0  100500.0  51200.000000  11400.0   \n",
       "2018-07-17  126500.0  34000.0  110000.0  101000.0  51900.000000  11150.0   \n",
       "2018-07-18  124000.0  33800.0  109000.0  101500.0  48200.000000  10850.0   \n",
       "2018-07-19  124000.0  33100.0  109000.0   92600.0  45350.000000  11500.0   \n",
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       "2018-07-23  129500.0  35950.0  110500.0   91200.0  42950.000000  10900.0   \n",
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       "2018-07-30  130500.0  36600.0  109000.0   99600.0  44600.000000  11600.0   \n",
       "2018-07-31  129500.0  36650.0  110000.0   99800.0  44500.000000  11600.0   \n",
       "...              ...      ...       ...       ...           ...      ...   \n",
       "2018-08-16  126500.0  38600.0  118500.0   99100.0  41750.000000  11500.0   \n",
       "2018-08-17  126500.0  38450.0  113000.0  102000.0  41550.000000  11400.0   \n",
       "2018-08-20  127500.0  38600.0  113000.0   97800.0  41500.000000  11600.0   \n",
       "2018-08-21  125500.0  38000.0  114500.0  100000.0  42450.000000  11600.0   \n",
       "2018-08-22  126000.0  37200.0  112500.0  100000.0  41550.000000  11400.0   \n",
       "2018-08-23  124500.0  37550.0  112000.0  105500.0  40450.000000  11300.0   \n",
       "2018-08-24  124500.0  37650.0  112500.0  107500.0  41400.000000  11800.0   \n",
       "2018-08-27  124000.0  36250.0  112500.0  107000.0  41250.000000  12050.0   \n",
       "2018-08-28  125000.0  36950.0  114500.0  105500.0  42600.000000  11900.0   \n",
       "2018-08-29  124000.0  36600.0  114000.0  106500.0  42650.000000  11900.0   \n",
       "2018-08-30  123500.0  36950.0  112000.0  106000.0  45100.000000  11800.0   \n",
       "2018-08-31  125000.0  37200.0  113500.0  108000.0  45900.000000  11600.0   \n",
       "2018-09-03  125000.0  36800.0  114000.0  107000.0  45500.000000  11650.0   \n",
       "2018-09-04  126500.0  36850.0  114000.0  105000.0  44600.000000  11900.0   \n",
       "2018-09-05  129000.0  36950.0  112500.0  102500.0  44300.000000  11400.0   \n",
       "2018-09-06  134000.0  37050.0  111500.0  100500.0  45300.000000  11400.0   \n",
       "2018-09-07  133000.0  36950.0  113000.0  101500.0  44100.000000  11200.0   \n",
       "2018-09-10  131000.0  36400.0  111000.0   98200.0  44750.000000  11100.0   \n",
       "2018-09-11  128000.0  36500.0  111500.0   99000.0  46700.000000  11450.0   \n",
       "2018-09-12  129500.0  36050.0  112000.0  101000.0  47200.000000  11050.0   \n",
       "2018-09-13  128500.0  35550.0  113000.0  103500.0  47150.000000  11000.0   \n",
       "2018-09-14  129500.0  36850.0  114000.0  106500.0  47200.000000  11000.0   \n",
       "2018-09-17  128500.0  36750.0  113000.0  106000.0  46100.000000  10850.0   \n",
       "2018-09-18  128000.0  36150.0  114000.0  108500.0  47800.000000  11000.0   \n",
       "2018-09-19  126500.0  36400.0  111500.0  108500.0  48300.000000  10800.0   \n",
       "2018-09-20  129000.0  36750.0  110500.0  105500.0  48250.000000  10750.0   \n",
       "2018-09-21  129000.0  37850.0  110500.0  104500.0  48350.000000  10700.0   \n",
       "2018-09-27  130500.0  40850.0  109500.0  109000.0  47750.000000  10700.0   \n",
       "2018-09-28  129500.0  41950.0  111000.0  108500.0  48000.000000  10650.0   \n",
       "2018-10-01  129000.0  42000.0  110000.0  108000.0  46700.000000  10400.0   \n",
       "\n",
       "                휴켐스  \n",
       "Date                 \n",
       "2018-06-20  28500.0  \n",
       "2018-06-21  28450.0  \n",
       "2018-06-22  28400.0  \n",
       "2018-06-25  28800.0  \n",
       "2018-06-26  29350.0  \n",
       "2018-06-27  29600.0  \n",
       "2018-06-28  29750.0  \n",
       "2018-06-29  29250.0  \n",
       "2018-07-02  29500.0  \n",
       "2018-07-03  29150.0  \n",
       "2018-07-04  28800.0  \n",
       "2018-07-05  29600.0  \n",
       "2018-07-06  31150.0  \n",
       "2018-07-09  31200.0  \n",
       "2018-07-10  31050.0  \n",
       "2018-07-11  31050.0  \n",
       "2018-07-12  30650.0  \n",
       "2018-07-13  31200.0  \n",
       "2018-07-16  31950.0  \n",
       "2018-07-17  29850.0  \n",
       "2018-07-18  29700.0  \n",
       "2018-07-19  29500.0  \n",
       "2018-07-20  30100.0  \n",
       "2018-07-23  29800.0  \n",
       "2018-07-24  30250.0  \n",
       "2018-07-25  31000.0  \n",
       "2018-07-26  31700.0  \n",
       "2018-07-27  31850.0  \n",
       "2018-07-30  31050.0  \n",
       "2018-07-31  31700.0  \n",
       "...             ...  \n",
       "2018-08-16  27050.0  \n",
       "2018-08-17  26450.0  \n",
       "2018-08-20  25750.0  \n",
       "2018-08-21  26500.0  \n",
       "2018-08-22  25400.0  \n",
       "2018-08-23  25400.0  \n",
       "2018-08-24  25500.0  \n",
       "2018-08-27  25500.0  \n",
       "2018-08-28  25700.0  \n",
       "2018-08-29  25450.0  \n",
       "2018-08-30  25050.0  \n",
       "2018-08-31  25350.0  \n",
       "2018-09-03  25200.0  \n",
       "2018-09-04  25000.0  \n",
       "2018-09-05  24950.0  \n",
       "2018-09-06  25050.0  \n",
       "2018-09-07  25100.0  \n",
       "2018-09-10  24750.0  \n",
       "2018-09-11  24800.0  \n",
       "2018-09-12  25300.0  \n",
       "2018-09-13  24900.0  \n",
       "2018-09-14  25050.0  \n",
       "2018-09-17  24450.0  \n",
       "2018-09-18  24450.0  \n",
       "2018-09-19  24100.0  \n",
       "2018-09-20  23950.0  \n",
       "2018-09-21  24500.0  \n",
       "2018-09-27  24150.0  \n",
       "2018-09-28  24950.0  \n",
       "2018-10-01  24700.0  \n",
       "\n",
       "[70 rows x 182 columns]"
      ]
     },
     "execution_count": 220,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.Close"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 221,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>AK홀딩스</th>\n",
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       "      <th>2018-06-20</th>\n",
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       "      <td>NaN</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>1.0</td>\n",
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       "      <th>2018-06-22</th>\n",
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       "      <th>2018-06-29</th>\n",
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       "      <th>2018-07-02</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2018-07-03</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2018-07-04</th>\n",
       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>2018-07-05</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-06</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-09</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-10</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-11</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-12</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-13</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-16</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-17</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-19</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-25</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-26</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-27</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-30</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-31</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-16</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-17</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-22</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-24</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-29</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-03</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-04</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-05</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-06</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-07</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-10</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-12</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-13</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-14</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-17</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-18</th>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-19</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-20</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-21</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-28</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 182 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            AK홀딩스  BNK금융지주   CJ  CJ CGV  CJ대한통운  CJ제일제당  DB손해보험  DB하이텍  GKL  \\\n",
       "Date                                                                          \n",
       "2018-06-20    NaN      NaN  NaN     NaN     NaN     NaN     NaN    NaN  NaN   \n",
       "2018-06-21    0.0      0.0  0.0     0.0     1.0     0.0     1.0    0.0  0.0   \n",
       "2018-06-22    0.0      0.0  0.0     0.0     1.0     0.0     1.0    1.0  0.0   \n",
       "2018-06-25    0.0      0.0  0.0     1.0     1.0     0.0     0.0    1.0  0.0   \n",
       "2018-06-26    0.0      0.0  0.0     1.0     1.0     0.0     0.0    1.0  0.0   \n",
       "2018-06-27    0.0      0.0  0.0     1.0     1.0     0.0     0.0    1.0  0.0   \n",
       "2018-06-28    0.0      1.0  0.0     1.0     1.0     1.0     0.0    1.0  1.0   \n",
       "2018-06-29    0.0      1.0  1.0     1.0     1.0     1.0     0.0    0.0  1.0   \n",
       "2018-07-02    0.0      0.0  0.0     0.0     0.0     0.0     0.0    0.0  0.0   \n",
       "2018-07-03    0.0      0.0  1.0     0.0     1.0     0.0     0.0    0.0  0.0   \n",
       "2018-07-04    0.0      0.0  1.0     0.0     1.0     0.0     1.0    0.0  0.0   \n",
       "2018-07-05    0.0      0.0  1.0     0.0     1.0     0.0     1.0    0.0  0.0   \n",
       "2018-07-06    0.0      1.0  1.0     0.0     1.0     0.0     1.0    0.0  0.0   \n",
       "2018-07-09    1.0      1.0  1.0     1.0     1.0     0.0     1.0    1.0  0.0   \n",
       "2018-07-10    1.0      1.0  1.0     0.0     1.0     0.0     1.0    0.0  1.0   \n",
       "2018-07-11    1.0      1.0  1.0     1.0     1.0     1.0     1.0    0.0  0.0   \n",
       "2018-07-12    1.0      0.0  1.0     1.0     1.0     1.0     1.0    0.0  1.0   \n",
       "2018-07-13    1.0      0.0  1.0     1.0     1.0     1.0     0.0    1.0  1.0   \n",
       "2018-07-16    1.0      0.0  1.0     0.0     0.0     0.0     0.0    0.0  1.0   \n",
       "2018-07-17    1.0      0.0  1.0     0.0     0.0     0.0     0.0    1.0  0.0   \n",
       "2018-07-18    1.0      0.0  1.0     0.0     0.0     0.0     0.0    1.0  0.0   \n",
       "2018-07-19    1.0      0.0  0.0     0.0     0.0     0.0     0.0    0.0  0.0   \n",
       "2018-07-20    0.0      0.0  0.0     0.0     0.0     0.0     0.0    0.0  0.0   \n",
       "2018-07-23    0.0      0.0  0.0     0.0     0.0     1.0     1.0    0.0  0.0   \n",
       "2018-07-24    0.0      0.0  0.0     0.0     0.0     1.0     1.0    0.0  0.0   \n",
       "2018-07-25    0.0      1.0  0.0     0.0     0.0     1.0     1.0    0.0  0.0   \n",
       "2018-07-26    1.0      1.0  1.0     0.0     1.0     1.0     1.0    0.0  1.0   \n",
       "2018-07-27    1.0      1.0  0.0     0.0     0.0     1.0     1.0    0.0  1.0   \n",
       "2018-07-30    1.0      1.0  0.0     0.0     0.0     1.0     1.0    0.0  1.0   \n",
       "2018-07-31    1.0      1.0  0.0     0.0     0.0     1.0     1.0    0.0  1.0   \n",
       "...           ...      ...  ...     ...     ...     ...     ...    ...  ...   \n",
       "2018-08-16    0.0      0.0  0.0     0.0     0.0     1.0     1.0    0.0  1.0   \n",
       "2018-08-17    0.0      0.0  0.0     0.0     0.0     0.0     1.0    1.0  1.0   \n",
       "2018-08-20    0.0      0.0  0.0     0.0     0.0     0.0     1.0    1.0  1.0   \n",
       "2018-08-21    0.0      0.0  0.0     0.0     1.0     0.0     1.0    1.0  1.0   \n",
       "2018-08-22    0.0      0.0  0.0     0.0     1.0     0.0     0.0    1.0  1.0   \n",
       "2018-08-23    0.0      0.0  0.0     0.0     1.0     0.0     0.0    1.0  1.0   \n",
       "2018-08-24    0.0      1.0  0.0     1.0     1.0     0.0     0.0    1.0  0.0   \n",
       "2018-08-27    0.0      0.0  0.0     1.0     1.0     1.0     0.0    1.0  0.0   \n",
       "2018-08-28    0.0      1.0  0.0     1.0     1.0     1.0     0.0    1.0  0.0   \n",
       "2018-08-29    0.0      1.0  0.0     1.0     0.0     1.0     0.0    1.0  0.0   \n",
       "2018-08-30    0.0      1.0  0.0     1.0     0.0     1.0     0.0    1.0  0.0   \n",
       "2018-08-31    1.0      1.0  0.0     1.0     0.0     1.0     0.0    1.0  0.0   \n",
       "2018-09-03    0.0      1.0  0.0     0.0     0.0     1.0     1.0    1.0  1.0   \n",
       "2018-09-04    0.0      0.0  0.0     0.0     0.0     0.0     0.0    1.0  1.0   \n",
       "2018-09-05    0.0      0.0  0.0     0.0     0.0     0.0     1.0    1.0  1.0   \n",
       "2018-09-06    0.0      0.0  1.0     0.0     1.0     0.0     1.0    0.0  0.0   \n",
       "2018-09-07    0.0      0.0  1.0     0.0     1.0     0.0     1.0    0.0  0.0   \n",
       "2018-09-10    0.0      1.0  1.0     0.0     1.0     0.0     1.0    0.0  0.0   \n",
       "2018-09-11    0.0      1.0  1.0     0.0     1.0     0.0     1.0    0.0  0.0   \n",
       "2018-09-12    0.0      1.0  1.0     0.0     1.0     0.0     0.0    0.0  0.0   \n",
       "2018-09-13    0.0      1.0  1.0     1.0     1.0     0.0     0.0    0.0  1.0   \n",
       "2018-09-14    1.0      1.0  1.0     1.0     1.0     0.0     0.0    0.0  1.0   \n",
       "2018-09-17    1.0      0.0  1.0     1.0     0.0     0.0     0.0    0.0  1.0   \n",
       "2018-09-18    1.0      0.0  1.0     1.0     0.0     0.0     0.0    1.0  1.0   \n",
       "2018-09-19    0.0      0.0  0.0     1.0     0.0     0.0     1.0    0.0  1.0   \n",
       "2018-09-20    0.0      0.0  0.0     0.0     0.0     0.0     1.0    0.0  1.0   \n",
       "2018-09-21    0.0      0.0  0.0     0.0     0.0     1.0     1.0    0.0  0.0   \n",
       "2018-09-27    0.0      1.0  0.0     0.0     0.0     1.0     1.0    0.0  0.0   \n",
       "2018-09-28    0.0      1.0  0.0     0.0     0.0     1.0     1.0    0.0  0.0   \n",
       "2018-10-01    0.0      1.0  1.0     0.0     0.0     1.0     1.0    0.0  0.0   \n",
       "\n",
       "             GS ...   현대위아  현대제철  현대중공업  현대차  현대해상  현대홈쇼핑  호텔신라   효성   후성  휴켐스  \n",
       "Date            ...                                                             \n",
       "2018-06-20  NaN ...    NaN   NaN    NaN  NaN   NaN    NaN   NaN  NaN  NaN  NaN  \n",
       "2018-06-21  0.0 ...    0.0   0.0    0.0  0.0   0.0    1.0   0.0  0.0  1.0  0.0  \n",
       "2018-06-22  0.0 ...    0.0   0.0    0.0  0.0   1.0    1.0   0.0  0.0  1.0  0.0  \n",
       "2018-06-25  0.0 ...    0.0   1.0    1.0  0.0   0.0    0.0   1.0  0.0  1.0  0.0  \n",
       "2018-06-26  1.0 ...    0.0   1.0    1.0  0.0   0.0    0.0   0.0  0.0  1.0  0.0  \n",
       "2018-06-27  0.0 ...    0.0   0.0    0.0  0.0   0.0    1.0   0.0  0.0  1.0  1.0  \n",
       "2018-06-28  0.0 ...    0.0   0.0    0.0  0.0   0.0    0.0   0.0  0.0  1.0  1.0  \n",
       "2018-06-29  0.0 ...    0.0   0.0    0.0  0.0   0.0    1.0   0.0  0.0  1.0  1.0  \n",
       "2018-07-02  0.0 ...    0.0   0.0    0.0  0.0   0.0    1.0   0.0  0.0  1.0  1.0  \n",
       "2018-07-03  0.0 ...    0.0   0.0    0.0  0.0   0.0    1.0   0.0  0.0  0.0  0.0  \n",
       "2018-07-04  0.0 ...    0.0   0.0    0.0  0.0   1.0    1.0   0.0  0.0  0.0  0.0  \n",
       "2018-07-05  0.0 ...    0.0   0.0    0.0  0.0   1.0    1.0   0.0  0.0  1.0  0.0  \n",
       "2018-07-06  0.0 ...    1.0   0.0    1.0  0.0   1.0    1.0   0.0  0.0  1.0  1.0  \n",
       "2018-07-09  1.0 ...    1.0   0.0    1.0  1.0   1.0    1.0   0.0  0.0  1.0  1.0  \n",
       "2018-07-10  0.0 ...    1.0   0.0    1.0  1.0   1.0    1.0   0.0  0.0  1.0  1.0  \n",
       "2018-07-11  1.0 ...    1.0   0.0    1.0  1.0   0.0    0.0   0.0  0.0  1.0  1.0  \n",
       "2018-07-12  0.0 ...    1.0   0.0    0.0  1.0   0.0    0.0   0.0  0.0  1.0  1.0  \n",
       "2018-07-13  1.0 ...    0.0   0.0    0.0  0.0   0.0    0.0   0.0  0.0  1.0  1.0  \n",
       "2018-07-16  1.0 ...    1.0   1.0    0.0  1.0   0.0    0.0   1.0  0.0  1.0  1.0  \n",
       "2018-07-17  0.0 ...    1.0   1.0    0.0  1.0   0.0    0.0   1.0  0.0  1.0  0.0  \n",
       "2018-07-18  1.0 ...    1.0   1.0    0.0  1.0   0.0    0.0   1.0  0.0  0.0  0.0  \n",
       "2018-07-19  1.0 ...    1.0   0.0    0.0  1.0   0.0    0.0   0.0  0.0  1.0  0.0  \n",
       "2018-07-20  0.0 ...    1.0   0.0    1.0  1.0   0.0    0.0   0.0  0.0  1.0  0.0  \n",
       "2018-07-23  0.0 ...    1.0   1.0    1.0  1.0   1.0    0.0   0.0  0.0  0.0  0.0  \n",
       "2018-07-24  1.0 ...    0.0   1.0    1.0  1.0   1.0    1.0   0.0  0.0  0.0  1.0  \n",
       "2018-07-25  1.0 ...    0.0   1.0    1.0  1.0   1.0    1.0   0.0  0.0  1.0  1.0  \n",
       "2018-07-26  1.0 ...    1.0   1.0    1.0  1.0   1.0    1.0   1.0  0.0  0.0  1.0  \n",
       "2018-07-27  1.0 ...    0.0   1.0    1.0  1.0   1.0    1.0   1.0  0.0  1.0  1.0  \n",
       "2018-07-30  1.0 ...    1.0   1.0    1.0  1.0   1.0    0.0   1.0  1.0  1.0  1.0  \n",
       "2018-07-31  1.0 ...    1.0   1.0    1.0  1.0   1.0    0.0   1.0  1.0  1.0  1.0  \n",
       "...         ... ...    ...   ...    ...  ...   ...    ...   ...  ...  ...  ...  \n",
       "2018-08-16  1.0 ...    0.0   0.0    0.0  0.0   1.0    1.0   0.0  0.0  0.0  0.0  \n",
       "2018-08-17  1.0 ...    0.0   0.0    0.0  1.0   1.0    0.0   0.0  0.0  0.0  0.0  \n",
       "2018-08-20  1.0 ...    1.0   0.0    1.0  1.0   1.0    0.0   0.0  0.0  1.0  0.0  \n",
       "2018-08-21  1.0 ...    0.0   1.0    1.0  1.0   1.0    0.0   1.0  0.0  1.0  1.0  \n",
       "2018-08-22  0.0 ...    0.0   1.0    1.0  1.0   0.0    0.0   1.0  0.0  1.0  0.0  \n",
       "2018-08-23  0.0 ...    0.0   0.0    1.0  0.0   0.0    0.0   1.0  0.0  0.0  0.0  \n",
       "2018-08-24  0.0 ...    0.0   0.0    1.0  0.0   0.0    0.0   1.0  0.0  1.0  0.0  \n",
       "2018-08-27  0.0 ...    0.0   0.0    1.0  0.0   0.0    0.0   1.0  0.0  1.0  0.0  \n",
       "2018-08-28  0.0 ...    1.0   0.0    1.0  0.0   0.0    1.0   1.0  1.0  1.0  0.0  \n",
       "2018-08-29  1.0 ...    1.0   0.0    1.0  0.0   0.0    1.0   1.0  1.0  1.0  1.0  \n",
       "2018-08-30  1.0 ...    0.0   1.0    1.0  0.0   0.0    1.0   1.0  1.0  1.0  0.0  \n",
       "2018-08-31  0.0 ...    0.0   1.0    1.0  1.0   0.0    1.0   1.0  1.0  0.0  0.0  \n",
       "2018-09-03  0.0 ...    0.0   0.0    1.0  1.0   1.0    1.0   1.0  1.0  0.0  0.0  \n",
       "2018-09-04  0.0 ...    0.0   0.0    1.0  1.0   0.0    0.0   0.0  1.0  1.0  0.0  \n",
       "2018-09-05  0.0 ...    0.0   0.0    1.0  1.0   1.0    0.0   0.0  1.0  0.0  0.0  \n",
       "2018-09-06  0.0 ...    1.0   0.0    1.0  1.0   1.0    0.0   0.0  1.0  0.0  1.0  \n",
       "2018-09-07  0.0 ...    1.0   1.0    1.0  1.0   0.0    0.0   0.0  0.0  0.0  0.0  \n",
       "2018-09-10  0.0 ...    1.0   1.0    1.0  1.0   0.0    0.0   0.0  0.0  0.0  0.0  \n",
       "2018-09-11  1.0 ...    1.0   1.0    1.0  1.0   0.0    0.0   0.0  1.0  0.0  0.0  \n",
       "2018-09-12  1.0 ...    0.0   1.0    1.0  1.0   0.0    0.0   0.0  1.0  0.0  1.0  \n",
       "2018-09-13  1.0 ...    0.0   1.0    1.0  0.0   0.0    1.0   1.0  1.0  0.0  0.0  \n",
       "2018-09-14  1.0 ...    0.0   1.0    1.0  0.0   0.0    1.0   1.0  1.0  0.0  0.0  \n",
       "2018-09-17  1.0 ...    0.0   0.0    1.0  0.0   1.0    1.0   1.0  1.0  0.0  0.0  \n",
       "2018-09-18  0.0 ...    0.0   1.0    1.0  1.0   0.0    1.0   1.0  1.0  0.0  0.0  \n",
       "2018-09-19  0.0 ...    0.0   1.0    0.0  0.0   1.0    0.0   1.0  1.0  0.0  0.0  \n",
       "2018-09-20  0.0 ...    0.0   1.0    1.0  1.0   1.0    0.0   1.0  1.0  0.0  0.0  \n",
       "2018-09-21  0.0 ...    0.0   1.0    0.0  0.0   1.0    0.0   0.0  1.0  0.0  0.0  \n",
       "2018-09-27  1.0 ...    1.0   1.0    1.0  1.0   1.0    0.0   1.0  1.0  0.0  0.0  \n",
       "2018-09-28  1.0 ...    0.0   1.0    1.0  1.0   1.0    0.0   1.0  1.0  0.0  1.0  \n",
       "2018-10-01  1.0 ...    1.0   1.0    1.0  1.0   1.0    0.0   0.0  0.0  0.0  1.0  \n",
       "\n",
       "[70 rows x 182 columns]"
      ]
     },
     "execution_count": 221,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.y_true2.shift(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25575f054e0>"
      ]
     },
     "execution_count": 177,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25576195940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(res.Close.diff(1) * res.y_true2.shift(1)).cumsum().plot(legend=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25573dd7860>"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x25573dd7ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "(res.Close.diff(1) * res.pred.shift(1)).cumsum().plot(legend=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "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>AK홀딩스</th>\n",
       "      <th>BNK금융지주</th>\n",
       "      <th>CJ</th>\n",
       "      <th>CJ CGV</th>\n",
       "      <th>CJ대한통운</th>\n",
       "      <th>CJ제일제당</th>\n",
       "      <th>DB손해보험</th>\n",
       "      <th>DB하이텍</th>\n",
       "      <th>GKL</th>\n",
       "      <th>GS</th>\n",
       "      <th>...</th>\n",
       "      <th>현대위아</th>\n",
       "      <th>현대제철</th>\n",
       "      <th>현대중공업</th>\n",
       "      <th>현대차</th>\n",
       "      <th>현대해상</th>\n",
       "      <th>현대홈쇼핑</th>\n",
       "      <th>호텔신라</th>\n",
       "      <th>효성</th>\n",
       "      <th>후성</th>\n",
       "      <th>휴켐스</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-06-20</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-21</th>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-22</th>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-25</th>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-26</th>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>...</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-27</th>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>...</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-28</th>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>...</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-06-29</th>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "      <td>-500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-02</th>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>...</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-03</th>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-04</th>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-05</th>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-06</th>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "      <td>1550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-09</th>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-10</th>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-11</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-12</th>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-13</th>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>...</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-16</th>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>...</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-17</th>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "      <td>-2100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-18</th>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-19</th>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-20</th>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>...</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-23</th>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "      <td>-300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-24</th>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>...</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "      <td>450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-25</th>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>...</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-26</th>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-27</th>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>...</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-30</th>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "      <td>-800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-31</th>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>...</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-16</th>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>...</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "      <td>650.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-17</th>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-20</th>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "      <td>-700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-21</th>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>...</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "      <td>750.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-22</th>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "      <td>-1100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-23</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-24</th>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-27</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-28</th>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "      <td>200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-29</th>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-30</th>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-31</th>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>...</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "      <td>300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-03</th>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-04</th>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "      <td>-200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-05</th>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-06</th>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>...</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-07</th>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-10</th>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-11</th>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>...</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-12</th>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>...</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-13</th>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "      <td>-400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-14</th>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>...</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "      <td>150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-17</th>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "      <td>-600.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-18</th>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-19</th>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-20</th>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "      <td>-150.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-21</th>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>...</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "      <td>550.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-27</th>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "      <td>-350.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-09-28</th>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>...</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>800.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-10-01</th>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>...</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "      <td>-250.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>70 rows × 182 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             AK홀딩스  BNK금융지주      CJ  CJ CGV  CJ대한통운  CJ제일제당  DB손해보험   DB하이텍  \\\n",
       "Date                                                                          \n",
       "2018-06-20     NaN      NaN     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "2018-06-21   -50.0    -50.0   -50.0   -50.0   -50.0   -50.0   -50.0   -50.0   \n",
       "2018-06-22   -50.0    -50.0   -50.0   -50.0   -50.0   -50.0   -50.0   -50.0   \n",
       "2018-06-25   400.0    400.0   400.0   400.0   400.0   400.0   400.0   400.0   \n",
       "2018-06-26   550.0    550.0   550.0   550.0   550.0   550.0   550.0   550.0   \n",
       "2018-06-27   250.0    250.0   250.0   250.0   250.0   250.0   250.0   250.0   \n",
       "2018-06-28   150.0    150.0   150.0   150.0   150.0   150.0   150.0   150.0   \n",
       "2018-06-29  -500.0   -500.0  -500.0  -500.0  -500.0  -500.0  -500.0  -500.0   \n",
       "2018-07-02   250.0    250.0   250.0   250.0   250.0   250.0   250.0   250.0   \n",
       "2018-07-03  -350.0   -350.0  -350.0  -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-07-04  -350.0   -350.0  -350.0  -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-07-05   800.0    800.0   800.0   800.0   800.0   800.0   800.0   800.0   \n",
       "2018-07-06  1550.0   1550.0  1550.0  1550.0  1550.0  1550.0  1550.0  1550.0   \n",
       "2018-07-09    50.0     50.0    50.0    50.0    50.0    50.0    50.0    50.0   \n",
       "2018-07-10  -150.0   -150.0  -150.0  -150.0  -150.0  -150.0  -150.0  -150.0   \n",
       "2018-07-11     0.0      0.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "2018-07-12  -400.0   -400.0  -400.0  -400.0  -400.0  -400.0  -400.0  -400.0   \n",
       "2018-07-13   550.0    550.0   550.0   550.0   550.0   550.0   550.0   550.0   \n",
       "2018-07-16   750.0    750.0   750.0   750.0   750.0   750.0   750.0   750.0   \n",
       "2018-07-17 -2100.0  -2100.0 -2100.0 -2100.0 -2100.0 -2100.0 -2100.0 -2100.0   \n",
       "2018-07-18  -150.0   -150.0  -150.0  -150.0  -150.0  -150.0  -150.0  -150.0   \n",
       "2018-07-19  -200.0   -200.0  -200.0  -200.0  -200.0  -200.0  -200.0  -200.0   \n",
       "2018-07-20   600.0    600.0   600.0   600.0   600.0   600.0   600.0   600.0   \n",
       "2018-07-23  -300.0   -300.0  -300.0  -300.0  -300.0  -300.0  -300.0  -300.0   \n",
       "2018-07-24   450.0    450.0   450.0   450.0   450.0   450.0   450.0   450.0   \n",
       "2018-07-25   750.0    750.0   750.0   750.0   750.0   750.0   750.0   750.0   \n",
       "2018-07-26   700.0    700.0   700.0   700.0   700.0   700.0   700.0   700.0   \n",
       "2018-07-27   150.0    150.0   150.0   150.0   150.0   150.0   150.0   150.0   \n",
       "2018-07-30  -800.0   -800.0  -800.0  -800.0  -800.0  -800.0  -800.0  -800.0   \n",
       "2018-07-31   650.0    650.0   650.0   650.0   650.0   650.0   650.0   650.0   \n",
       "...            ...      ...     ...     ...     ...     ...     ...     ...   \n",
       "2018-08-16   650.0    650.0   650.0   650.0   650.0   650.0   650.0   650.0   \n",
       "2018-08-17  -600.0   -600.0  -600.0  -600.0  -600.0  -600.0  -600.0  -600.0   \n",
       "2018-08-20  -700.0   -700.0  -700.0  -700.0  -700.0  -700.0  -700.0  -700.0   \n",
       "2018-08-21   750.0    750.0   750.0   750.0   750.0   750.0   750.0   750.0   \n",
       "2018-08-22 -1100.0  -1100.0 -1100.0 -1100.0 -1100.0 -1100.0 -1100.0 -1100.0   \n",
       "2018-08-23     0.0      0.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "2018-08-24   100.0    100.0   100.0   100.0   100.0   100.0   100.0   100.0   \n",
       "2018-08-27     0.0      0.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "2018-08-28   200.0    200.0   200.0   200.0   200.0   200.0   200.0   200.0   \n",
       "2018-08-29  -250.0   -250.0  -250.0  -250.0  -250.0  -250.0  -250.0  -250.0   \n",
       "2018-08-30  -400.0   -400.0  -400.0  -400.0  -400.0  -400.0  -400.0  -400.0   \n",
       "2018-08-31   300.0    300.0   300.0   300.0   300.0   300.0   300.0   300.0   \n",
       "2018-09-03  -150.0   -150.0  -150.0  -150.0  -150.0  -150.0  -150.0  -150.0   \n",
       "2018-09-04  -200.0   -200.0  -200.0  -200.0  -200.0  -200.0  -200.0  -200.0   \n",
       "2018-09-05   -50.0    -50.0   -50.0   -50.0   -50.0   -50.0   -50.0   -50.0   \n",
       "2018-09-06   100.0    100.0   100.0   100.0   100.0   100.0   100.0   100.0   \n",
       "2018-09-07    50.0     50.0    50.0    50.0    50.0    50.0    50.0    50.0   \n",
       "2018-09-10  -350.0   -350.0  -350.0  -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-09-11    50.0     50.0    50.0    50.0    50.0    50.0    50.0    50.0   \n",
       "2018-09-12   500.0    500.0   500.0   500.0   500.0   500.0   500.0   500.0   \n",
       "2018-09-13  -400.0   -400.0  -400.0  -400.0  -400.0  -400.0  -400.0  -400.0   \n",
       "2018-09-14   150.0    150.0   150.0   150.0   150.0   150.0   150.0   150.0   \n",
       "2018-09-17  -600.0   -600.0  -600.0  -600.0  -600.0  -600.0  -600.0  -600.0   \n",
       "2018-09-18     0.0      0.0     0.0     0.0     0.0     0.0     0.0     0.0   \n",
       "2018-09-19  -350.0   -350.0  -350.0  -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-09-20  -150.0   -150.0  -150.0  -150.0  -150.0  -150.0  -150.0  -150.0   \n",
       "2018-09-21   550.0    550.0   550.0   550.0   550.0   550.0   550.0   550.0   \n",
       "2018-09-27  -350.0   -350.0  -350.0  -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-09-28   800.0    800.0   800.0   800.0   800.0   800.0   800.0   800.0   \n",
       "2018-10-01  -250.0   -250.0  -250.0  -250.0  -250.0  -250.0  -250.0  -250.0   \n",
       "\n",
       "               GKL      GS   ...      현대위아    현대제철   현대중공업     현대차    현대해상  \\\n",
       "Date                         ...                                             \n",
       "2018-06-20     NaN     NaN   ...       NaN     NaN     NaN     NaN     NaN   \n",
       "2018-06-21   -50.0   -50.0   ...     -50.0   -50.0   -50.0   -50.0   -50.0   \n",
       "2018-06-22   -50.0   -50.0   ...     -50.0   -50.0   -50.0   -50.0   -50.0   \n",
       "2018-06-25   400.0   400.0   ...     400.0   400.0   400.0   400.0   400.0   \n",
       "2018-06-26   550.0   550.0   ...     550.0   550.0   550.0   550.0   550.0   \n",
       "2018-06-27   250.0   250.0   ...     250.0   250.0   250.0   250.0   250.0   \n",
       "2018-06-28   150.0   150.0   ...     150.0   150.0   150.0   150.0   150.0   \n",
       "2018-06-29  -500.0  -500.0   ...    -500.0  -500.0  -500.0  -500.0  -500.0   \n",
       "2018-07-02   250.0   250.0   ...     250.0   250.0   250.0   250.0   250.0   \n",
       "2018-07-03  -350.0  -350.0   ...    -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-07-04  -350.0  -350.0   ...    -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-07-05   800.0   800.0   ...     800.0   800.0   800.0   800.0   800.0   \n",
       "2018-07-06  1550.0  1550.0   ...    1550.0  1550.0  1550.0  1550.0  1550.0   \n",
       "2018-07-09    50.0    50.0   ...      50.0    50.0    50.0    50.0    50.0   \n",
       "2018-07-10  -150.0  -150.0   ...    -150.0  -150.0  -150.0  -150.0  -150.0   \n",
       "2018-07-11     0.0     0.0   ...       0.0     0.0     0.0     0.0     0.0   \n",
       "2018-07-12  -400.0  -400.0   ...    -400.0  -400.0  -400.0  -400.0  -400.0   \n",
       "2018-07-13   550.0   550.0   ...     550.0   550.0   550.0   550.0   550.0   \n",
       "2018-07-16   750.0   750.0   ...     750.0   750.0   750.0   750.0   750.0   \n",
       "2018-07-17 -2100.0 -2100.0   ...   -2100.0 -2100.0 -2100.0 -2100.0 -2100.0   \n",
       "2018-07-18  -150.0  -150.0   ...    -150.0  -150.0  -150.0  -150.0  -150.0   \n",
       "2018-07-19  -200.0  -200.0   ...    -200.0  -200.0  -200.0  -200.0  -200.0   \n",
       "2018-07-20   600.0   600.0   ...     600.0   600.0   600.0   600.0   600.0   \n",
       "2018-07-23  -300.0  -300.0   ...    -300.0  -300.0  -300.0  -300.0  -300.0   \n",
       "2018-07-24   450.0   450.0   ...     450.0   450.0   450.0   450.0   450.0   \n",
       "2018-07-25   750.0   750.0   ...     750.0   750.0   750.0   750.0   750.0   \n",
       "2018-07-26   700.0   700.0   ...     700.0   700.0   700.0   700.0   700.0   \n",
       "2018-07-27   150.0   150.0   ...     150.0   150.0   150.0   150.0   150.0   \n",
       "2018-07-30  -800.0  -800.0   ...    -800.0  -800.0  -800.0  -800.0  -800.0   \n",
       "2018-07-31   650.0   650.0   ...     650.0   650.0   650.0   650.0   650.0   \n",
       "...            ...     ...   ...       ...     ...     ...     ...     ...   \n",
       "2018-08-16   650.0   650.0   ...     650.0   650.0   650.0   650.0   650.0   \n",
       "2018-08-17  -600.0  -600.0   ...    -600.0  -600.0  -600.0  -600.0  -600.0   \n",
       "2018-08-20  -700.0  -700.0   ...    -700.0  -700.0  -700.0  -700.0  -700.0   \n",
       "2018-08-21   750.0   750.0   ...     750.0   750.0   750.0   750.0   750.0   \n",
       "2018-08-22 -1100.0 -1100.0   ...   -1100.0 -1100.0 -1100.0 -1100.0 -1100.0   \n",
       "2018-08-23     0.0     0.0   ...       0.0     0.0     0.0     0.0     0.0   \n",
       "2018-08-24   100.0   100.0   ...     100.0   100.0   100.0   100.0   100.0   \n",
       "2018-08-27     0.0     0.0   ...       0.0     0.0     0.0     0.0     0.0   \n",
       "2018-08-28   200.0   200.0   ...     200.0   200.0   200.0   200.0   200.0   \n",
       "2018-08-29  -250.0  -250.0   ...    -250.0  -250.0  -250.0  -250.0  -250.0   \n",
       "2018-08-30  -400.0  -400.0   ...    -400.0  -400.0  -400.0  -400.0  -400.0   \n",
       "2018-08-31   300.0   300.0   ...     300.0   300.0   300.0   300.0   300.0   \n",
       "2018-09-03  -150.0  -150.0   ...    -150.0  -150.0  -150.0  -150.0  -150.0   \n",
       "2018-09-04  -200.0  -200.0   ...    -200.0  -200.0  -200.0  -200.0  -200.0   \n",
       "2018-09-05   -50.0   -50.0   ...     -50.0   -50.0   -50.0   -50.0   -50.0   \n",
       "2018-09-06   100.0   100.0   ...     100.0   100.0   100.0   100.0   100.0   \n",
       "2018-09-07    50.0    50.0   ...      50.0    50.0    50.0    50.0    50.0   \n",
       "2018-09-10  -350.0  -350.0   ...    -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-09-11    50.0    50.0   ...      50.0    50.0    50.0    50.0    50.0   \n",
       "2018-09-12   500.0   500.0   ...     500.0   500.0   500.0   500.0   500.0   \n",
       "2018-09-13  -400.0  -400.0   ...    -400.0  -400.0  -400.0  -400.0  -400.0   \n",
       "2018-09-14   150.0   150.0   ...     150.0   150.0   150.0   150.0   150.0   \n",
       "2018-09-17  -600.0  -600.0   ...    -600.0  -600.0  -600.0  -600.0  -600.0   \n",
       "2018-09-18     0.0     0.0   ...       0.0     0.0     0.0     0.0     0.0   \n",
       "2018-09-19  -350.0  -350.0   ...    -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-09-20  -150.0  -150.0   ...    -150.0  -150.0  -150.0  -150.0  -150.0   \n",
       "2018-09-21   550.0   550.0   ...     550.0   550.0   550.0   550.0   550.0   \n",
       "2018-09-27  -350.0  -350.0   ...    -350.0  -350.0  -350.0  -350.0  -350.0   \n",
       "2018-09-28   800.0   800.0   ...     800.0   800.0   800.0   800.0   800.0   \n",
       "2018-10-01  -250.0  -250.0   ...    -250.0  -250.0  -250.0  -250.0  -250.0   \n",
       "\n",
       "             현대홈쇼핑    호텔신라      효성      후성     휴켐스  \n",
       "Date                                                \n",
       "2018-06-20     NaN     NaN     NaN     NaN     NaN  \n",
       "2018-06-21   -50.0   -50.0   -50.0   -50.0   -50.0  \n",
       "2018-06-22   -50.0   -50.0   -50.0   -50.0   -50.0  \n",
       "2018-06-25   400.0   400.0   400.0   400.0   400.0  \n",
       "2018-06-26   550.0   550.0   550.0   550.0   550.0  \n",
       "2018-06-27   250.0   250.0   250.0   250.0   250.0  \n",
       "2018-06-28   150.0   150.0   150.0   150.0   150.0  \n",
       "2018-06-29  -500.0  -500.0  -500.0  -500.0  -500.0  \n",
       "2018-07-02   250.0   250.0   250.0   250.0   250.0  \n",
       "2018-07-03  -350.0  -350.0  -350.0  -350.0  -350.0  \n",
       "2018-07-04  -350.0  -350.0  -350.0  -350.0  -350.0  \n",
       "2018-07-05   800.0   800.0   800.0   800.0   800.0  \n",
       "2018-07-06  1550.0  1550.0  1550.0  1550.0  1550.0  \n",
       "2018-07-09    50.0    50.0    50.0    50.0    50.0  \n",
       "2018-07-10  -150.0  -150.0  -150.0  -150.0  -150.0  \n",
       "2018-07-11     0.0     0.0     0.0     0.0     0.0  \n",
       "2018-07-12  -400.0  -400.0  -400.0  -400.0  -400.0  \n",
       "2018-07-13   550.0   550.0   550.0   550.0   550.0  \n",
       "2018-07-16   750.0   750.0   750.0   750.0   750.0  \n",
       "2018-07-17 -2100.0 -2100.0 -2100.0 -2100.0 -2100.0  \n",
       "2018-07-18  -150.0  -150.0  -150.0  -150.0  -150.0  \n",
       "2018-07-19  -200.0  -200.0  -200.0  -200.0  -200.0  \n",
       "2018-07-20   600.0   600.0   600.0   600.0   600.0  \n",
       "2018-07-23  -300.0  -300.0  -300.0  -300.0  -300.0  \n",
       "2018-07-24   450.0   450.0   450.0   450.0   450.0  \n",
       "2018-07-25   750.0   750.0   750.0   750.0   750.0  \n",
       "2018-07-26   700.0   700.0   700.0   700.0   700.0  \n",
       "2018-07-27   150.0   150.0   150.0   150.0   150.0  \n",
       "2018-07-30  -800.0  -800.0  -800.0  -800.0  -800.0  \n",
       "2018-07-31   650.0   650.0   650.0   650.0   650.0  \n",
       "...            ...     ...     ...     ...     ...  \n",
       "2018-08-16   650.0   650.0   650.0   650.0   650.0  \n",
       "2018-08-17  -600.0  -600.0  -600.0  -600.0  -600.0  \n",
       "2018-08-20  -700.0  -700.0  -700.0  -700.0  -700.0  \n",
       "2018-08-21   750.0   750.0   750.0   750.0   750.0  \n",
       "2018-08-22 -1100.0 -1100.0 -1100.0 -1100.0 -1100.0  \n",
       "2018-08-23     0.0     0.0     0.0     0.0     0.0  \n",
       "2018-08-24   100.0   100.0   100.0   100.0   100.0  \n",
       "2018-08-27     0.0     0.0     0.0     0.0     0.0  \n",
       "2018-08-28   200.0   200.0   200.0   200.0   200.0  \n",
       "2018-08-29  -250.0  -250.0  -250.0  -250.0  -250.0  \n",
       "2018-08-30  -400.0  -400.0  -400.0  -400.0  -400.0  \n",
       "2018-08-31   300.0   300.0   300.0   300.0   300.0  \n",
       "2018-09-03  -150.0  -150.0  -150.0  -150.0  -150.0  \n",
       "2018-09-04  -200.0  -200.0  -200.0  -200.0  -200.0  \n",
       "2018-09-05   -50.0   -50.0   -50.0   -50.0   -50.0  \n",
       "2018-09-06   100.0   100.0   100.0   100.0   100.0  \n",
       "2018-09-07    50.0    50.0    50.0    50.0    50.0  \n",
       "2018-09-10  -350.0  -350.0  -350.0  -350.0  -350.0  \n",
       "2018-09-11    50.0    50.0    50.0    50.0    50.0  \n",
       "2018-09-12   500.0   500.0   500.0   500.0   500.0  \n",
       "2018-09-13  -400.0  -400.0  -400.0  -400.0  -400.0  \n",
       "2018-09-14   150.0   150.0   150.0   150.0   150.0  \n",
       "2018-09-17  -600.0  -600.0  -600.0  -600.0  -600.0  \n",
       "2018-09-18     0.0     0.0     0.0     0.0     0.0  \n",
       "2018-09-19  -350.0  -350.0  -350.0  -350.0  -350.0  \n",
       "2018-09-20  -150.0  -150.0  -150.0  -150.0  -150.0  \n",
       "2018-09-21   550.0   550.0   550.0   550.0   550.0  \n",
       "2018-09-27  -350.0  -350.0  -350.0  -350.0  -350.0  \n",
       "2018-09-28   800.0   800.0   800.0   800.0   800.0  \n",
       "2018-10-01  -250.0  -250.0  -250.0  -250.0  -250.0  \n",
       "\n",
       "[70 rows x 182 columns]"
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.Close.diff(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 223,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2018-06-20   NaN\n",
       "2018-06-21   NaN\n",
       "2018-06-22   NaN\n",
       "2018-06-25   NaN\n",
       "2018-06-26   NaN\n",
       "dtype: float64"
      ]
     },
     "execution_count": 223,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "portfolio = pd.Series(index=res.pred.index)\n",
    "portfolio.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 224,
   "metadata": {},
   "outputs": [],
   "source": [
    "portfolio.iloc[0] = 1e8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 231,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "25.0"
      ]
     },
     "execution_count": 231,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.y_true2.sum(1).iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 299,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 주식당 투자 자본\n",
    "money_stock_invest = portfolio.iloc[0] / res.y_true2.sum(1).iloc[0]\n",
    "# 1일차 주식 보유 (다음날 Open에 사서 당일 Close로 청산)\n",
    "stock_share = (money_stock_invest / (res.y_true2.iloc[0] * res.Open.iloc[1])).replace(np.inf,0).astype(int)\n",
    "# 1일차 Daily 이득\n",
    "portfolio.iloc[1] = portfolio.iloc[0] + sum((res.Close.iloc[1] - res.Open.iloc[1]) * stock_share)\n",
    "# 자금 업데이트\n",
    "money_stock_invest = portfolio.iloc[1] / res.y_true2.sum(1).iloc[0]\n",
    "# 2일차 주식 보유 (다음날 Open에 사서 당일 Close로 청산)\n",
    "stock_share = (money_stock_invest / (res.y_true2.iloc[1] * res.Open.iloc[2])).replace(np.inf,0).astype(int)\n",
    "# 1일차 Daily 이득\n",
    "portfolio.iloc[2] = portfolio.iloc[1] + sum((res.Close.iloc[2] - res.Open.iloc[2]) * stock_share)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 300,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2532819.5"
      ]
     },
     "execution_count": 300,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "portfolio.iloc[1] / res.y_true2.sum(1).iloc[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 302,
   "metadata": {},
   "outputs": [],
   "source": [
    "portfolio.iloc[0] = 1e8\n",
    "for i in range(len(portfolio)-1):\n",
    "    money_stock_invest = portfolio.iloc[i] / res.y_true2.sum(1).iloc[i]\n",
    "    stock_share = (money_stock_invest / (res.y_true2.iloc[i] * res.Open.iloc[i+1])).replace(np.inf,0).astype(int)\n",
    "    portfolio.iloc[i+1] = portfolio.iloc[i] + sum((res.Close.iloc[i+1] - res.Open.iloc[i+1]) * stock_share)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 315,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date\n",
       "2018-06-20    1.000000e+08\n",
       "2018-06-21    1.013128e+08\n",
       "2018-06-22    1.039997e+08\n",
       "2018-06-25    1.051119e+08\n",
       "2018-06-26    1.056906e+08\n",
       "2018-06-27    1.060972e+08\n",
       "2018-06-28    1.064758e+08\n",
       "2018-06-29    1.066891e+08\n",
       "2018-07-02    1.063503e+08\n",
       "2018-07-03    1.056518e+08\n",
       "2018-07-04    1.080701e+08\n",
       "2018-07-05    1.084915e+08\n",
       "2018-07-06    1.114850e+08\n",
       "2018-07-09    1.120941e+08\n",
       "2018-07-10    1.122689e+08\n",
       "2018-07-11    1.125043e+08\n",
       "2018-07-12    1.126334e+08\n",
       "2018-07-13    1.137677e+08\n",
       "2018-07-16    1.142032e+08\n",
       "2018-07-17    1.148137e+08\n",
       "2018-07-18    1.140679e+08\n",
       "2018-07-19    1.142016e+08\n",
       "2018-07-20    1.155157e+08\n",
       "2018-07-23    1.163051e+08\n",
       "2018-07-24    1.177872e+08\n",
       "2018-07-25    1.183548e+08\n",
       "2018-07-26    1.183315e+08\n",
       "2018-07-27    1.183546e+08\n",
       "2018-07-30    1.192134e+08\n",
       "2018-07-31    1.197787e+08\n",
       "                  ...     \n",
       "2018-08-16    1.262485e+08\n",
       "2018-08-17    1.276636e+08\n",
       "2018-08-20    1.285245e+08\n",
       "2018-08-21    1.290615e+08\n",
       "2018-08-22    1.289387e+08\n",
       "2018-08-23    1.295234e+08\n",
       "2018-08-24    1.307905e+08\n",
       "2018-08-27    1.319996e+08\n",
       "2018-08-28    1.328530e+08\n",
       "2018-08-29    1.330291e+08\n",
       "2018-08-30    1.324575e+08\n",
       "2018-08-31    1.333572e+08\n",
       "2018-09-03    1.338179e+08\n",
       "2018-09-04    1.346752e+08\n",
       "2018-09-05    1.345664e+08\n",
       "2018-09-06    1.350641e+08\n",
       "2018-09-07    1.358406e+08\n",
       "2018-09-10    1.382748e+08\n",
       "2018-09-11    1.391607e+08\n",
       "2018-09-12    1.396032e+08\n",
       "2018-09-13    1.403936e+08\n",
       "2018-09-14    1.409915e+08\n",
       "2018-09-17    1.406026e+08\n",
       "2018-09-18    1.424282e+08\n",
       "2018-09-19    1.424754e+08\n",
       "2018-09-20    1.434831e+08\n",
       "2018-09-21    1.446933e+08\n",
       "2018-09-27    1.470291e+08\n",
       "2018-09-28    1.475376e+08\n",
       "2018-10-01    1.477394e+08\n",
       "Length: 70, dtype: float64"
      ]
     },
     "execution_count": 315,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "portfolio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 304,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x25577a10438>"
      ]
     },
     "execution_count": 304,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x255790370f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "portfolio.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 311,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.5285714285714286"
      ]
     },
     "execution_count": 311,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(res.y_true2['삼성전자'] == 1) / len(res.y_true2['삼성전자'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 294,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AK홀딩스          0\n",
       "BNK금융지주        0\n",
       "CJ             0\n",
       "CJ CGV         0\n",
       "CJ대한통운        25\n",
       "CJ제일제당         0\n",
       "DB손해보험        63\n",
       "DB하이텍          0\n",
       "GKL            0\n",
       "GS             0\n",
       "GS건설           0\n",
       "GS리테일          0\n",
       "HDC          145\n",
       "JW중외제약         0\n",
       "JW홀딩스          0\n",
       "KB금융           0\n",
       "KCC            0\n",
       "KT             0\n",
       "KT&G           0\n",
       "LF             0\n",
       "LG             0\n",
       "LG디스플레이        0\n",
       "LG상사           0\n",
       "LG생활건강         2\n",
       "LG유플러스       291\n",
       "LG이노텍          0\n",
       "LG전자           0\n",
       "LG하우시스         0\n",
       "LG화학           0\n",
       "LS             0\n",
       "            ... \n",
       "한세실업           0\n",
       "한솔케미칼         54\n",
       "한온시스템          0\n",
       "한올바이오파마        0\n",
       "한일시멘트          0\n",
       "한전KPS          0\n",
       "한전기술           0\n",
       "한진중공업          0\n",
       "한화             0\n",
       "한화생명           0\n",
       "한화에어로스페이스      0\n",
       "한화케미칼          0\n",
       "현대건설           0\n",
       "현대그린푸드         0\n",
       "현대글로비스         0\n",
       "현대리바트          0\n",
       "현대모비스          0\n",
       "현대미포조선         0\n",
       "현대백화점          0\n",
       "현대엘리베이        37\n",
       "현대위아           0\n",
       "현대제철           0\n",
       "현대중공업          0\n",
       "현대차            0\n",
       "현대해상           0\n",
       "현대홈쇼핑         36\n",
       "호텔신라           0\n",
       "효성             0\n",
       "후성           410\n",
       "휴켐스            0\n",
       "Length: 182, dtype: int32"
      ]
     },
     "execution_count": 294,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(money_stock_invest / (res.y_true2.iloc[0] * res.Open.iloc[1])).replace(np.inf,0).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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