3_Exploratory Data Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import math\n",
    "import sklearn\n",
    "import sklearn.preprocessing\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "from statsmodels.graphics.tsaplots import plot_acf\n",
    "import seaborn as sns \n",
    "sns.set()\n",
    "%matplotlib inline\n",
    "from collections import Counter\n",
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=Warning)\n",
    "import seaborn as sns\n",
    "sns.set()\n",
    "pd.options.mode.chained_assignment = None  # default='warn'\n",
    "\n",
    "from statsmodels.distributions.empirical_distribution import ECDF\n",
    "from sklearn.metrics import mean_squared_error, r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>eom</th>\n",
       "      <th>prc</th>\n",
       "      <th>me</th>\n",
       "      <th>ret</th>\n",
       "      <th>ret_exc</th>\n",
       "      <th>ret_exc_lead1m</th>\n",
       "      <th>ret_6_1</th>\n",
       "      <th>ret_12_1</th>\n",
       "      <th>tax_gr1a</th>\n",
       "      <th>...</th>\n",
       "      <th>cowc_gr1a</th>\n",
       "      <th>pi_nix</th>\n",
       "      <th>ret_6_0</th>\n",
       "      <th>ret_1_0</th>\n",
       "      <th>noa_at</th>\n",
       "      <th>cop_atl1</th>\n",
       "      <th>prc_highprc_252d</th>\n",
       "      <th>ocf_at</th>\n",
       "      <th>dbnetis_at</th>\n",
       "      <th>netdebt_me</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>comp_001166_02W</td>\n",
       "      <td>2003-01-31</td>\n",
       "      <td>11.486148</td>\n",
       "      <td>567.074646</td>\n",
       "      <td>-0.018948</td>\n",
       "      <td>-0.019948</td>\n",
       "      <td>-0.089504</td>\n",
       "      <td>-0.229560</td>\n",
       "      <td>-0.353251</td>\n",
       "      <td>-0.020556</td>\n",
       "      <td>...</td>\n",
       "      <td>0.041844</td>\n",
       "      <td>3.815513</td>\n",
       "      <td>-0.244158</td>\n",
       "      <td>-0.018948</td>\n",
       "      <td>0.692706</td>\n",
       "      <td>0.093015</td>\n",
       "      <td>0.398130</td>\n",
       "      <td>-0.007700</td>\n",
       "      <td>0.085202</td>\n",
       "      <td>0.135368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>comp_001661_01W</td>\n",
       "      <td>2003-01-31</td>\n",
       "      <td>35.853958</td>\n",
       "      <td>5221.931641</td>\n",
       "      <td>0.005815</td>\n",
       "      <td>0.004815</td>\n",
       "      <td>0.108428</td>\n",
       "      <td>0.129149</td>\n",
       "      <td>-0.035109</td>\n",
       "      <td>-0.033306</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.019596</td>\n",
       "      <td>1.284930</td>\n",
       "      <td>0.135715</td>\n",
       "      <td>0.005815</td>\n",
       "      <td>0.751569</td>\n",
       "      <td>0.164124</td>\n",
       "      <td>0.918059</td>\n",
       "      <td>0.096164</td>\n",
       "      <td>0.063714</td>\n",
       "      <td>0.200036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>comp_004367_02W</td>\n",
       "      <td>2003-01-31</td>\n",
       "      <td>36.068653</td>\n",
       "      <td>4139.599121</td>\n",
       "      <td>-0.103801</td>\n",
       "      <td>-0.104801</td>\n",
       "      <td>0.127227</td>\n",
       "      <td>-0.020286</td>\n",
       "      <td>0.087151</td>\n",
       "      <td>-0.037240</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026114</td>\n",
       "      <td>1.725004</td>\n",
       "      <td>-0.121981</td>\n",
       "      <td>-0.103801</td>\n",
       "      <td>0.961141</td>\n",
       "      <td>0.240563</td>\n",
       "      <td>0.675468</td>\n",
       "      <td>0.070724</td>\n",
       "      <td>-0.000607</td>\n",
       "      <td>0.410184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>comp_004925_02W</td>\n",
       "      <td>2003-01-31</td>\n",
       "      <td>29.735168</td>\n",
       "      <td>15302.482422</td>\n",
       "      <td>-0.070425</td>\n",
       "      <td>-0.071425</td>\n",
       "      <td>0.064832</td>\n",
       "      <td>0.046064</td>\n",
       "      <td>0.023265</td>\n",
       "      <td>-0.007344</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.000724</td>\n",
       "      <td>1.961724</td>\n",
       "      <td>-0.027605</td>\n",
       "      <td>-0.070425</td>\n",
       "      <td>0.466852</td>\n",
       "      <td>0.221983</td>\n",
       "      <td>0.861333</td>\n",
       "      <td>0.084234</td>\n",
       "      <td>-0.008142</td>\n",
       "      <td>-0.075232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>comp_005959_01W</td>\n",
       "      <td>2003-01-31</td>\n",
       "      <td>39.181721</td>\n",
       "      <td>6355.691406</td>\n",
       "      <td>-0.085813</td>\n",
       "      <td>-0.086813</td>\n",
       "      <td>0.001832</td>\n",
       "      <td>0.123795</td>\n",
       "      <td>0.012811</td>\n",
       "      <td>-0.012241</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.014214</td>\n",
       "      <td>1.069862</td>\n",
       "      <td>0.027359</td>\n",
       "      <td>-0.085813</td>\n",
       "      <td>0.635742</td>\n",
       "      <td>0.108581</td>\n",
       "      <td>0.721256</td>\n",
       "      <td>0.069331</td>\n",
       "      <td>-0.038594</td>\n",
       "      <td>0.500641</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                id        eom        prc            me       ret   ret_exc  \\\n",
       "0  comp_001166_02W 2003-01-31  11.486148    567.074646 -0.018948 -0.019948   \n",
       "1  comp_001661_01W 2003-01-31  35.853958   5221.931641  0.005815  0.004815   \n",
       "2  comp_004367_02W 2003-01-31  36.068653   4139.599121 -0.103801 -0.104801   \n",
       "3  comp_004925_02W 2003-01-31  29.735168  15302.482422 -0.070425 -0.071425   \n",
       "4  comp_005959_01W 2003-01-31  39.181721   6355.691406 -0.085813 -0.086813   \n",
       "\n",
       "   ret_exc_lead1m   ret_6_1  ret_12_1  tax_gr1a  ...  cowc_gr1a    pi_nix  \\\n",
       "0       -0.089504 -0.229560 -0.353251 -0.020556  ...   0.041844  3.815513   \n",
       "1        0.108428  0.129149 -0.035109 -0.033306  ...  -0.019596  1.284930   \n",
       "2        0.127227 -0.020286  0.087151 -0.037240  ...   0.026114  1.725004   \n",
       "3        0.064832  0.046064  0.023265 -0.007344  ...  -0.000724  1.961724   \n",
       "4        0.001832  0.123795  0.012811 -0.012241  ...  -0.014214  1.069862   \n",
       "\n",
       "    ret_6_0   ret_1_0    noa_at  cop_atl1  prc_highprc_252d    ocf_at  \\\n",
       "0 -0.244158 -0.018948  0.692706  0.093015          0.398130 -0.007700   \n",
       "1  0.135715  0.005815  0.751569  0.164124          0.918059  0.096164   \n",
       "2 -0.121981 -0.103801  0.961141  0.240563          0.675468  0.070724   \n",
       "3 -0.027605 -0.070425  0.466852  0.221983          0.861333  0.084234   \n",
       "4  0.027359 -0.085813  0.635742  0.108581          0.721256  0.069331   \n",
       "\n",
       "   dbnetis_at  netdebt_me  \n",
       "0    0.085202    0.135368  \n",
       "1    0.063714    0.200036  \n",
       "2   -0.000607    0.410184  \n",
       "3   -0.008142   -0.075232  \n",
       "4   -0.038594    0.500641  \n",
       "\n",
       "[5 rows x 55 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Read in the cleansed and winsorised data\n",
    "df = pd.read_csv(r\"C:\\Users\\krist\\Documents\\Data\\ger_factor_data_from2003.csv\", dtype ={\"comp_tpci\": str}, parse_dates =[\"eom\"])\n",
    "#Convert to float 32 (format needed for the most ML models)\n",
    "df[df.columns[2:]] = df[df.columns[2:]].astype('float32')\n",
    "#Sort observations by date and stock id\n",
    "df = df.sort_values(by = ['eom', 'id'], ascending = True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of months:  204\n",
      "Start:  2003-01-31 00:00:00\n",
      "End:  2019-12-31 00:00:00\n"
     ]
    }
   ],
   "source": [
    "# The observation period contains 204 months in the period from 01.2003 to 12.2019'\n",
    "# The last year is not uesed since we dont have the lead excess return  \"ret_exc_lead1m\" for January 2021 and we\n",
    "# use 1 year for testing\n",
    "df_2 = df[~(df['eom'] > '2019-12-31')]\n",
    "print(\"Number of months: \", df_2[\"eom\"].nunique())\n",
    "print(\"Start: \", df_2[\"eom\"].min())\n",
    "print(\"End: \", df_2[\"eom\"].max())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique stcocks:  1810\n"
     ]
    }
   ],
   "source": [
    "#There are 1855 unique german stocks\n",
    "print(\"Number of unique stcocks: \", df_2[\"id\"].nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 148530 entries, 0 to 148529\n",
      "Data columns (total 55 columns):\n",
      " #   Column            Non-Null Count   Dtype         \n",
      "---  ------            --------------   -----         \n",
      " 0   id                148530 non-null  object        \n",
      " 1   eom               148530 non-null  datetime64[ns]\n",
      " 2   prc               148530 non-null  float32       \n",
      " 3   me                148530 non-null  float32       \n",
      " 4   ret               148530 non-null  float32       \n",
      " 5   ret_exc           148530 non-null  float32       \n",
      " 6   ret_exc_lead1m    148530 non-null  float32       \n",
      " 7   ret_6_1           148530 non-null  float32       \n",
      " 8   ret_12_1          148530 non-null  float32       \n",
      " 9   tax_gr1a          148530 non-null  float32       \n",
      " 10  be_me             148530 non-null  float32       \n",
      " 11  debt_me           148530 non-null  float32       \n",
      " 12  ni_me             148530 non-null  float32       \n",
      " 13  sale_gr3          148530 non-null  float32       \n",
      " 14  sale_gr1          148530 non-null  float32       \n",
      " 15  sale_me           148530 non-null  float32       \n",
      " 16  lnoa_gr1a         148530 non-null  float32       \n",
      " 17  inv_gr1a          148530 non-null  float32       \n",
      " 18  oaccruals_at      148530 non-null  float32       \n",
      " 19  taccruals_at      148530 non-null  float32       \n",
      " 20  be_gr1a           148530 non-null  float32       \n",
      " 21  taccruals_ni      148530 non-null  float32       \n",
      " 22  ebit_sale         148530 non-null  float32       \n",
      " 23  sale_bev          148530 non-null  float32       \n",
      " 24  age               148530 non-null  float32       \n",
      " 25  beta_60m          148530 non-null  float32       \n",
      " 26  rmax1_21d         148530 non-null  float32       \n",
      " 27  bidaskhl_21d      148530 non-null  float32       \n",
      " 28  ret_9_1           148530 non-null  float32       \n",
      " 29  ret_12_7          148530 non-null  float32       \n",
      " 30  ni_be             148530 non-null  float32       \n",
      " 31  ocf_debt          148530 non-null  float32       \n",
      " 32  cash_gr1a         148530 non-null  float32       \n",
      " 33  at_gr1            148530 non-null  float32       \n",
      " 34  chcsho_12m        148530 non-null  float32       \n",
      " 35  ca_cl             148530 non-null  float32       \n",
      " 36  ivol_capm_252d    148530 non-null  float32       \n",
      " 37  debt_gr1          148530 non-null  float32       \n",
      " 38  debtlt_gr1a       148530 non-null  float32       \n",
      " 39  ope_be            148530 non-null  float32       \n",
      " 40  caliq_cl          148530 non-null  float32       \n",
      " 41  dsale_drec        148530 non-null  float32       \n",
      " 42  f_score           148530 non-null  float32       \n",
      " 43  rvol_21d          148530 non-null  float32       \n",
      " 44  gp_bev            148530 non-null  float32       \n",
      " 45  cowc_gr1a         148530 non-null  float32       \n",
      " 46  pi_nix            148530 non-null  float32       \n",
      " 47  ret_6_0           148530 non-null  float32       \n",
      " 48  ret_1_0           148530 non-null  float32       \n",
      " 49  noa_at            148530 non-null  float32       \n",
      " 50  cop_atl1          148530 non-null  float32       \n",
      " 51  prc_highprc_252d  148530 non-null  float32       \n",
      " 52  ocf_at            148530 non-null  float32       \n",
      " 53  dbnetis_at        148530 non-null  float32       \n",
      " 54  netdebt_me        148530 non-null  float32       \n",
      "dtypes: datetime64[ns](1), float32(53), object(1)\n",
      "memory usage: 33.4+ MB\n"
     ]
    }
   ],
   "source": [
    "#Inspect variable types\n",
    "df_2.info(verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum number of stocks pre month:  442\n",
      "Maximum number of stocks pre month:  853\n",
      "Mean number of stocks pre month:  728.0882352941177\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Number of stocks at each month; \n",
    "Number_stocks_per_month = Counter(df_2['eom'])\n",
    "Number_stocks_per_month= pd.DataFrame(Number_stocks_per_month.items(), columns=['Date', 'Numer_of_Stocks'])\n",
    "print(\"Minimum number of stocks pre month: \", Number_stocks_per_month[\"Numer_of_Stocks\"].min())\n",
    "print(\"Maximum number of stocks pre month: \", Number_stocks_per_month[\"Numer_of_Stocks\"].max())\n",
    "print(\"Mean number of stocks pre month: \", Number_stocks_per_month[\"Numer_of_Stocks\"].mean())\n",
    "Number_stocks_per_month.plot(x='Date', y='Numer_of_Stocks',grid=True,figsize=(15, 7));\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Descriptive Statistics of the characteristics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#We are interested in the descriptive statistics of all 49 stock level characteristics and the target variable (ret_exc_lead1m)\n",
    "features = df.columns[~df.columns.isin(['id',\"prc\",\"eom\",\"ret\",\"ret_exc\"])].tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>me</th>\n",
       "      <th>ret_exc_lead1m</th>\n",
       "      <th>ret_6_1</th>\n",
       "      <th>ret_12_1</th>\n",
       "      <th>tax_gr1a</th>\n",
       "      <th>be_me</th>\n",
       "      <th>debt_me</th>\n",
       "      <th>ni_me</th>\n",
       "      <th>sale_gr3</th>\n",
       "      <th>sale_gr1</th>\n",
       "      <th>...</th>\n",
       "      <th>cowc_gr1a</th>\n",
       "      <th>pi_nix</th>\n",
       "      <th>ret_6_0</th>\n",
       "      <th>ret_1_0</th>\n",
       "      <th>noa_at</th>\n",
       "      <th>cop_atl1</th>\n",
       "      <th>prc_highprc_252d</th>\n",
       "      <th>ocf_at</th>\n",
       "      <th>dbnetis_at</th>\n",
       "      <th>netdebt_me</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "      <td>148530.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>8697.302734</td>\n",
       "      <td>0.007087</td>\n",
       "      <td>0.075473</td>\n",
       "      <td>0.177930</td>\n",
       "      <td>0.001510</td>\n",
       "      <td>0.655195</td>\n",
       "      <td>0.652363</td>\n",
       "      <td>0.044014</td>\n",
       "      <td>0.502651</td>\n",
       "      <td>0.149736</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004955</td>\n",
       "      <td>1.541284</td>\n",
       "      <td>0.091800</td>\n",
       "      <td>0.013808</td>\n",
       "      <td>0.528437</td>\n",
       "      <td>0.175243</td>\n",
       "      <td>0.827804</td>\n",
       "      <td>0.073523</td>\n",
       "      <td>0.007110</td>\n",
       "      <td>0.426264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>21088.613281</td>\n",
       "      <td>0.099301</td>\n",
       "      <td>0.252284</td>\n",
       "      <td>0.442067</td>\n",
       "      <td>0.017356</td>\n",
       "      <td>0.493008</td>\n",
       "      <td>1.483294</td>\n",
       "      <td>0.089383</td>\n",
       "      <td>1.337435</td>\n",
       "      <td>0.462402</td>\n",
       "      <td>...</td>\n",
       "      <td>0.066108</td>\n",
       "      <td>0.836671</td>\n",
       "      <td>0.286495</td>\n",
       "      <td>0.099923</td>\n",
       "      <td>0.269429</td>\n",
       "      <td>0.143578</td>\n",
       "      <td>0.155697</td>\n",
       "      <td>0.095224</td>\n",
       "      <td>0.091258</td>\n",
       "      <td>1.276193</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>28.031742</td>\n",
       "      <td>-0.285795</td>\n",
       "      <td>-0.506119</td>\n",
       "      <td>-0.629095</td>\n",
       "      <td>-0.064525</td>\n",
       "      <td>0.050845</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>-0.397647</td>\n",
       "      <td>-0.770523</td>\n",
       "      <td>-0.618313</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.236067</td>\n",
       "      <td>0.426156</td>\n",
       "      <td>-0.540160</td>\n",
       "      <td>-0.260097</td>\n",
       "      <td>-0.367537</td>\n",
       "      <td>-0.391054</td>\n",
       "      <td>0.302827</td>\n",
       "      <td>-0.305821</td>\n",
       "      <td>-0.305372</td>\n",
       "      <td>-0.893911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>145.166351</td>\n",
       "      <td>-0.045686</td>\n",
       "      <td>-0.067556</td>\n",
       "      <td>-0.081281</td>\n",
       "      <td>-0.003849</td>\n",
       "      <td>0.332355</td>\n",
       "      <td>0.060375</td>\n",
       "      <td>0.023869</td>\n",
       "      <td>-0.019904</td>\n",
       "      <td>-0.037324</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.015919</td>\n",
       "      <td>1.243138</td>\n",
       "      <td>-0.072558</td>\n",
       "      <td>-0.040538</td>\n",
       "      <td>0.405554</td>\n",
       "      <td>0.115518</td>\n",
       "      <td>0.755598</td>\n",
       "      <td>0.026326</td>\n",
       "      <td>-0.023001</td>\n",
       "      <td>-0.038982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>781.303467</td>\n",
       "      <td>0.004405</td>\n",
       "      <td>0.048987</td>\n",
       "      <td>0.115161</td>\n",
       "      <td>0.000700</td>\n",
       "      <td>0.535195</td>\n",
       "      <td>0.231009</td>\n",
       "      <td>0.048086</td>\n",
       "      <td>0.197949</td>\n",
       "      <td>0.069350</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004122</td>\n",
       "      <td>1.395275</td>\n",
       "      <td>0.059886</td>\n",
       "      <td>0.008779</td>\n",
       "      <td>0.545954</td>\n",
       "      <td>0.166833</td>\n",
       "      <td>0.871676</td>\n",
       "      <td>0.073250</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.101810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5733.725708</td>\n",
       "      <td>0.057243</td>\n",
       "      <td>0.186266</td>\n",
       "      <td>0.335885</td>\n",
       "      <td>0.006895</td>\n",
       "      <td>0.828575</td>\n",
       "      <td>0.544563</td>\n",
       "      <td>0.075752</td>\n",
       "      <td>0.521168</td>\n",
       "      <td>0.208702</td>\n",
       "      <td>...</td>\n",
       "      <td>0.026030</td>\n",
       "      <td>1.571180</td>\n",
       "      <td>0.214114</td>\n",
       "      <td>0.061570</td>\n",
       "      <td>0.664305</td>\n",
       "      <td>0.229655</td>\n",
       "      <td>0.944851</td>\n",
       "      <td>0.120141</td>\n",
       "      <td>0.032216</td>\n",
       "      <td>0.382029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>132047.843750</td>\n",
       "      <td>0.337193</td>\n",
       "      <td>1.077414</td>\n",
       "      <td>2.111902</td>\n",
       "      <td>0.069120</td>\n",
       "      <td>2.902265</td>\n",
       "      <td>10.795302</td>\n",
       "      <td>0.340293</td>\n",
       "      <td>10.089679</td>\n",
       "      <td>3.220137</td>\n",
       "      <td>...</td>\n",
       "      <td>0.250548</td>\n",
       "      <td>7.488226</td>\n",
       "      <td>1.259137</td>\n",
       "      <td>0.371817</td>\n",
       "      <td>1.403841</td>\n",
       "      <td>0.652698</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.344624</td>\n",
       "      <td>0.350461</td>\n",
       "      <td>9.083357</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8 rows × 50 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  me  ret_exc_lead1m        ret_6_1       ret_12_1  \\\n",
       "count  148530.000000   148530.000000  148530.000000  148530.000000   \n",
       "mean     8697.302734        0.007087       0.075473       0.177930   \n",
       "std     21088.613281        0.099301       0.252284       0.442067   \n",
       "min        28.031742       -0.285795      -0.506119      -0.629095   \n",
       "25%       145.166351       -0.045686      -0.067556      -0.081281   \n",
       "50%       781.303467        0.004405       0.048987       0.115161   \n",
       "75%      5733.725708        0.057243       0.186266       0.335885   \n",
       "max    132047.843750        0.337193       1.077414       2.111902   \n",
       "\n",
       "            tax_gr1a          be_me        debt_me          ni_me  \\\n",
       "count  148530.000000  148530.000000  148530.000000  148530.000000   \n",
       "mean        0.001510       0.655195       0.652363       0.044014   \n",
       "std         0.017356       0.493008       1.483294       0.089383   \n",
       "min        -0.064525       0.050845       0.000000      -0.397647   \n",
       "25%        -0.003849       0.332355       0.060375       0.023869   \n",
       "50%         0.000700       0.535195       0.231009       0.048086   \n",
       "75%         0.006895       0.828575       0.544563       0.075752   \n",
       "max         0.069120       2.902265      10.795302       0.340293   \n",
       "\n",
       "            sale_gr3       sale_gr1  ...      cowc_gr1a         pi_nix  \\\n",
       "count  148530.000000  148530.000000  ...  148530.000000  148530.000000   \n",
       "mean        0.502651       0.149736  ...       0.004955       1.541284   \n",
       "std         1.337435       0.462402  ...       0.066108       0.836671   \n",
       "min        -0.770523      -0.618313  ...      -0.236067       0.426156   \n",
       "25%        -0.019904      -0.037324  ...      -0.015919       1.243138   \n",
       "50%         0.197949       0.069350  ...       0.004122       1.395275   \n",
       "75%         0.521168       0.208702  ...       0.026030       1.571180   \n",
       "max        10.089679       3.220137  ...       0.250548       7.488226   \n",
       "\n",
       "             ret_6_0        ret_1_0         noa_at       cop_atl1  \\\n",
       "count  148530.000000  148530.000000  148530.000000  148530.000000   \n",
       "mean        0.091800       0.013808       0.528437       0.175243   \n",
       "std         0.286495       0.099923       0.269429       0.143578   \n",
       "min        -0.540160      -0.260097      -0.367537      -0.391054   \n",
       "25%        -0.072558      -0.040538       0.405554       0.115518   \n",
       "50%         0.059886       0.008779       0.545954       0.166833   \n",
       "75%         0.214114       0.061570       0.664305       0.229655   \n",
       "max         1.259137       0.371817       1.403841       0.652698   \n",
       "\n",
       "       prc_highprc_252d         ocf_at     dbnetis_at     netdebt_me  \n",
       "count     148530.000000  148530.000000  148530.000000  148530.000000  \n",
       "mean           0.827804       0.073523       0.007110       0.426264  \n",
       "std            0.155697       0.095224       0.091258       1.276193  \n",
       "min            0.302827      -0.305821      -0.305372      -0.893911  \n",
       "25%            0.755598       0.026326      -0.023001      -0.038982  \n",
       "50%            0.871676       0.073250       0.000000       0.101810  \n",
       "75%            0.944851       0.120141       0.032216       0.382029  \n",
       "max            1.000000       0.344624       0.350461       9.083357  \n",
       "\n",
       "[8 rows x 50 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "descriptive_statistics = df_2[features].describe()\n",
    "descriptive_statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "descriptive_statistics.to_excel(r'C:\\Users\\krist\\Documents\\Data\\EDA\\descriptive_statistics.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution of each feature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2160x2160 with 51 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "fig.set_figheight(30)\n",
    "fig.set_figwidth(30)\n",
    "df[features].hist(layout=(-1, 3), bins=np.linspace(-1,1,50), ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution of portfolio returns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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IAAAAABZEGAQAAAAACyIMAgAAAIAFEQYBAAAAwIIIgwAAAABgQYRBAAAAALAgwiAAAAAAWBBhEAAAAAAsyD7aDQBAIpowcZycKTzFAgCA+MUrFQAwgTPFrpLNDRHXP7g618RuAAAA+uMwUQAAAACwIMIgAAAAAFgQYRAAAAAALMjUcwaXLl2qTz75RHb7yS/zwx/+UF1dXVq/fr16eno0b948rVmzRpK0d+9erV27Vl1dXcrOzlZlZaXsdrsOHTqkkpIStbW16ZxzzlFVVZXOOOMMM9sGAAAAgIRn2p5BwzC0f/9+1dbWhv985StfUVlZmaqrq1VfX6/m5mY1NJx8g4WSkhKtW7dOO3fulGEY2rp1qySpsrJSS5Yskdfr1YwZM1RdXW1WywAAAABgGaaFwf/93/+VJH3729/WwoUL9fTTT+udd97R1KlTNWXKFNntdhUWFsrr9ergwYPq7u5WVlaWJKmoqEher1d+v19NTU3Ky8vrsw4AAAAAGB7TwuCxY8eUk5Ojxx57TE899ZSeffZZHTp0SC6XK1zjdrvV0tKi1tbWPusul0stLS1qb29Xampq+DDTU+sAAAAAgOEx7ZzBiy66SBdddFH49qJFi/Twww/r7/7u78JrhmHIZrMpFArJZrP1Wz/18XSfvT2YyZNTh/gIEA9crrTRbgEmscJsHY7onmLjqX44247kvvH0WGNRnyjf74nyONAfs01czDYxjdRcTQuDu3fvlt/vV05OjqSTAS8zM1M+ny9c4/P55Ha7lZ6e3mf9yJEjcrvdmjRpkjo6OhQMBpWcnByuj0ZbW6dCIWNkHhRiyuVKk8/XMdptwARWmK3LlSa/PxDVfeKpfqjbdjjsEd03nh5rLOoT4fvdCj+3VsVsExezTUzRzDUpyTbgzjHTDhPt6OjQAw88oJ6eHnV2durFF1/Ud7/7Xe3bt08HDhxQMBhUXV2dPB6PMjMz5XQ6tWfPHklSbW2tPB6PHA6HsrOzVV9fL0navn27PB6PWS0DADDi/IGQXK60iP9MmDhutFsGAFiEaXsG58yZo7ffflvf/OY3FQqFtGTJEl100UXasGGDVq5cqZ6eHuXm5io/P1+SVFVVpfLycnV2dmr69OkqLi6WJFVUVKi0tFQ1NTXKyMjQxo0bzWoZAIAR57AnqWRzQ8T1D67ONbEbAAD+wtTrDN5555268847+6zl5ORox44d/WqnTZumbdu29VvPzMzUli1bzGoRAAAAACzJtMNEAQAAAADxizAIAAAAABYUURgsKyvrt7Zq1aoRbwYAAAAAEBsDnjNYUVGhlpYW7dmzR5988kl4PRAI6MMPPzS9OQAAAACAOQYMg4sWLdL777+v9957T3l5eeH15ORkZWVlmd0bAAAAAMAkA4bBmTNnaubMmbrsssuUnp4eq54AAAAAACaL6NISH3/8sUpKSnT06FEZhhFef+mll0xrDAAAAABgnojC4Lp161RUVKSvfe1rstlsZvcEAAAAADBZRGHQbrfrlltuMbsXAAAAAECMRHRpifPPP1/vvfee2b0AAAAAAGIkoj2DH374oa677jr91V/9lZxOZ3idcwYBWMWEiePkTInoKRMAAGBMiOiVzZo1a8zuAwDimjPFrpLNDRHXP7g618RuAAAAhi+iMHjBBReY3QcAAAAAIIYiCoOXXnqpbDabDMMIv5uoy+XS7373O1ObAwAAAACYI6Iw+O6774b/3tvbq7q6Ou3bt8+0pgAAAAAA5oro3URPl5KSoqKiIr355ptm9AMAAAAAiIGI9gx++umn4b8bhqHm5mYdO3bMrJ4AAAAAACaL+pxBSZo8ebLWrl1ramMAAAAAAPNEfc4gAAAAAGDsiygMhkIhPfHEE/rd736nQCCg2bNna9myZbLbuQAzAAAjyR8IyeVKi6i2pzegY0dPmNwRACBRRZTmHnroIb377ru6+eabFQqF9Ktf/UoPPPCAysrKzO4PAABLcdiTVLK5IaLaB1fnmtwNACCRRRQGX3/9dT3//PNyOBySpCuuuEILFy4kDAIAAADAGBXRpSUMwwgHQenk5SVOvw0AAAAAGFsiCoPTpk3T/fffr//7v//Thx9+qPvvv18XXHCB2b0BAAAAAEwSURisqKjQsWPHdP3112vx4sVqb2/X3XffbXZvAAAAAACTDBgGe3t79f3vf1+7du3Shg0b1NjYqAsvvFDJyclKTU2NVY8AAAAAgBE2YBh8+OGH1dnZqYsvvji8du+99+rYsWN65JFHTG8OAAAAAGCOAcPgb3/7Wz300EOaPHlyeO3ss8/WAw88oF//+temNwcAAAAAMMeAYdDhcOhLX/pSv/XU1FSlpKRE9AV+/OMfq7S0VJLU2NiowsJCzZ07V5s2bQrX7N27V0VFRcrLy9PatWsVCAQkSYcOHdKNN96o/Px8LV++XF1dXRE/MAAAAADAFxswDCYlJamzs7PfemdnZziwDWTXrl168cUXJUnd3d0qKytTdXW16uvr1dzcrIaGkxfVLSkp0bp167Rz504ZhqGtW7dKkiorK7VkyRJ5vV7NmDFD1dXVUT9AAAAAAEB/A4bBBQsWqLy8XMePHw+vHT9+XOXl5Zo7d+6AG/7000+1adMmLVu2TJL0zjvvaOrUqZoyZYrsdrsKCwvl9Xp18OBBdXd3KysrS5JUVFQkr9crv9+vpqYm5eXl9VkHAAAAAAzfgGHw5ptvVlpammbPnq1//Md/1KJFizR79mxNmDBBK1asGHDD69at05o1azRhwgRJUmtrq1wuV/jzbrdbLS0t/dZdLpdaWlrU3t6u1NRU2e32PusAAAAAgOGzD/TJpKQk3XvvvVq2bJn+9Kc/KSkpSRdeeKHcbveAG33uueeUkZGhnJwcvfDCC5KkUCgkm80WrjEMQzab7QvXT3083WdvR2LyZC6BMZa5XGmj3QJMMhZn63AM+JSZUPXD2XYk942nxzrW62P5szQWf24RGWabuJhtYhqpuUb02yYzM1OZmZkRb7S+vl4+n0/XXHONjh49quPHj+vgwYNKTk4O1/h8PrndbqWnp8vn84XXjxw5IrfbrUmTJqmjo0PBYFDJycnh+mi1tXUqFDKivh9Gn8uVJp+vY7TbgAnG4mxdrjT5/YOfK326sVw/1G07HPaI7htPj3Ws18fqZ2ks/twiMsw2cTHbxBTNXJOSbAPuHBvwMNGhevLJJ1VXV6fa2lqtWrVKV155pf71X/9V+/bt04EDBxQMBlVXVyePx6PMzEw5nU7t2bNHklRbWyuPxyOHw6Hs7GzV19dLkrZv3y6Px2NGuwAAAABgOdEdtzIMTqdTGzZs0MqVK9XT06Pc3Fzl5+dLkqqqqlReXq7Ozk5Nnz5dxcXFkqSKigqVlpaqpqZGGRkZ2rhxY6zaBQAAAICEZnoYLCoqUlFRkSQpJydHO3bs6Fczbdo0bdu2rd96ZmamtmzZYnaLACxowsRxcqbE7P/DAAAA4g6vhABYkjPFrpLNDRHXP7g618RuAAAAYs+UcwYBAAAAAPGNMAgAAAAAFsRhogAAjFH+QCiqa0319AZ07OgJEzsCAIwlhEEAAMYohz2Jc18BAEPGYaIAAAAAYEGEQQAAAACwIMIgAAAAAFgQYRAAAAAALIgwCAAAAAAWRBgEAAAAAAsiDAIAAACABREGAQAAAMCCCIMAAAAAYEGEQQAAAACwIMIgAAAAAFgQYRAAAAAALIgwCAAAAAAWZB/tBgBgJEyYOE7OFJ7SAAAAIsUrJwAJwZliV8nmhojrH1yda2I3AAAA8Y/DRAEAAADAgtgzCACARfgDIblcaRHX9/QGdOzoCRM7AgCMJsIgAAAW4bAncTg1ACCMw0QBAAAAwIIIgwAAAABgQYRBAAAAALAgwiAAAAAAWBBhEAAAAAAsyNQwuHnzZs2fP18FBQV68sknJUmNjY0qLCzU3LlztWnTpnDt3r17VVRUpLy8PK1du1aBQECSdOjQId14443Kz8/X8uXL1dXVZWbLAAAAAGAJpoXBP/zhD/r973+vHTt26Pnnn9eWLVv07rvvqqysTNXV1aqvr1dzc7MaGk6+xXVJSYnWrVunnTt3yjAMbd26VZJUWVmpJUuWyOv1asaMGaqurjarZQAAAACwDNPC4Ne//nX9/Oc/l91uV1tbm4LBoI4dO6apU6dqypQpstvtKiwslNfr1cGDB9Xd3a2srCxJUlFRkbxer/x+v5qampSXl9dnHQAAAAAwPKYeJupwOPTwww+roKBAOTk5am1tlcvlCn/e7XarpaWl37rL5VJLS4va29uVmpoqu93eZx0AAAAAMDx2s7/AqlWrdNttt2nZsmXav3+/bDZb+HOGYchmsykUCn3u+qmPp/vs7cFMnpw6vAeAUeVypY12CzCJGbN1OKJ7SqPenG1Hct94eqxjvd7sXk7/WeU5OXEx28TFbBPTSM3VtDD4wQcfqLe3V1/96lc1btw4zZ07V16vV8nJyeEan88nt9ut9PR0+Xy+8PqRI0fkdrs1adIkdXR0KBgMKjk5OVwfjba2ToVCxog9LsSOy5Umn69jtNuACcyYrcuVJr8/ENV9qB/5bTsc9ojuG0+PdazXm93LqZ9VnpMTF7NNXMw2MUUz16Qk24A7x0w7TPSjjz5SeXm5ent71dvbq9/85je6/vrrtW/fPh04cEDBYFB1dXXyeDzKzMyU0+nUnj17JEm1tbXyeDxyOBzKzs5WfX29JGn79u3yeDxmtQwAAAAAlmHansHc3Fy98847+uY3v6nk5GTNnTtXBQUFmjRpklauXKmenh7l5uYqPz9fklRVVaXy8nJ1dnZq+vTpKi4uliRVVFSotLRUNTU1ysjI0MaNG81qGQAAAAAsw9RzBleuXKmVK1f2WcvJydGOHTv61U6bNk3btm3rt56ZmaktW7aY1iMAAAAAWJHpbyADAADGJn8gFNUbyPT0BnTs6Amz2wIAjBDCIIC4NGHiODlTeIoCRpPDnqSSzQ0n/x7BmwM9uDo3Fm0BAEYIr7QAxCVnij38IjQSvAgFAACIjqkXnQcAAAAAxCfCIAAAAABYEGEQAAAAACyIMAgAAAAAFkQYBAAAAAALIgwCAAAAgAURBgEAAADAggiDAAAAAGBBhEEAAAAAsCDCIAAAAABYkH20GwAAAInBHwjJ5UqLuL6nN6BjR0+Y2BEAYCCEQQAxMWHiODlT/vKUE80LRgBjg8OepJLNDRHXP7g618RuAACDIQwCiAlnij38ItHhsMvvDwxYz4tEAAAAc3HOIAAAAABYEGEQAAAAACyIMAgAAAAAFkQYBAAAAAALIgwCAAAAgAURBgEAAADAggiDAAAAAGBBhEEAAAAAsCDCIAAAAABYEGEQAAAAACyIMAgAAAAAFmQf7QYAAIA1+QMhuVxpEdf39AZ07OgJEzsCAGsxNQw++uijevnllyVJubm5uuuuu9TY2Kj169erp6dH8+bN05o1ayRJe/fu1dq1a9XV1aXs7GxVVlbKbrfr0KFDKikpUVtbm8455xxVVVXpjDPOMLNtAAAQAw57kko2N0Rc/+DqXBO7AQDrMe0w0cbGRr3xxht68cUXtX37dv3pT39SXV2dysrKVF1drfr6ejU3N6uh4eQvgZKSEq1bt047d+6UYRjaunWrJKmyslJLliyR1+vVjBkzVF1dbVbLAKI0YeI4uVxpEf0BAABAfDFtz6DL5VJpaalSUlIkSX/7t3+r/fv3a+rUqZoyZYokqbCwUF6vV+edd566u7uVlZUlSSoqKtLDDz+sxYsXq6mpSY899lh4/aabblJJSYlZbQOIgjPFHvH/6vM/+gAAAPHFtD2D559/fjjc7d+/Xy+//LJsNptcLle4xu12q6WlRa2trX3WXS6XWlpa1N7ertTUVNnt9j7rAAAAAIDhMf0NZN5//33dcccduuuuu5ScnKz9+/eHP2cYhmw2m0KhkGw2W7/1Ux9P99nbg5k8OXVY/WN0cXhh/HM4In8aOb02kvtFs23qR7Z+ONtmtrGtj2Uv8TBbfi+Yg3/XxMVsE9NIzdXUMLhnzx6tWrVKZWVlKigo0B/+8Af5fL7w530+n9xut9LT0/usHzlyRG63W5MmTVJHR4eCwaCSk5PD9dFoa+tUKGSM2GNC7LhcafL5Oka7DQzA5UqT3x+IuP5UrcNhj+h+0Wyb+pGtH+q2mW3s62PVS7zMlt8LI4/ft4mL2SamaOaalGQbcOeYaYeJfvzxx1qxYoWqqqpUUFAgSZo1a5b27dunAwcOKBgMqq6uTh6PR5mZmXI6ndqzZ48kqba2Vh6PRw6HQ9nZ2aqvr5ckbd++XR6Px6yWAQAAAMAyTNsz+MQTT6inp0cbNmwIr11//fXasGGDVq5cqZ6eHuXm5io/P1+SVFVVpfLycnV2dmr69OkqLi6WJFVUVKi0tFQ1NTXKyMjQxo0bzWoZAADEMa5LCAAjy7QwWF5ervLy8s/93I4dO/qtTZs2Tdu2beu3npmZqS1btox4fwAAYGzhuoQAMLJMO0wUAAAAABC/CIMAAAAAYEGEQQAAAACwINOvMwhg7JgwcZycKTwtAAAAWAGv+gCEOVPsvDkDAACARXCYKAAAAABYEGEQAAAAACyIMAgAAAAAFkQYBAAAAAALIgwCAAAAgAXxbqIAACAh+QMhuVxpEdf39AZ07OgJEzsCgPhCGAQAAAnJYU/icjkAMAAOEwUAAAAAC2LPIJDAJkwcJ2cKP+YAAADoj1eJQAJzptg5RAoAIsQ5hgCshjAIAAAgzjEEYD2cMwgAAAAAFsSeQWAM4RxAAAAAjBReVQJjCOcAAgAAYKRwmCgAAAAAWBBhEAAAAAAsiDAIAAAAABZEGAQAAAAACyIMAgAAAIAF8W6iAAAAQ+APhORypUVU29Mb0LGjJ0zuCACiQxgEAAAYAoc9KeLL/XCpHwDxiMNEAQAAAMCCTA2DnZ2dWrBggT766CNJUmNjowoLCzV37lxt2rQpXLd3714VFRUpLy9Pa9euVSAQkCQdOnRIN954o/Lz87V8+XJ1dXWZ2S4AAAAAWIZpYfDtt9/WDTfcoP3790uSuru7VVZWpurqatXX16u5uVkNDScPrSgpKdG6deu0c+dOGYahrVu3SpIqKyu1ZMkSeb1ezZgxQ9XV1Wa1CwAAAACWYloY3Lp1qyoqKuR2uyVJ77zzjqZOnaopU6bIbrersLBQXq9XBw8eVHd3t7KysiRJRUVF8nq98vv9ampqUl5eXp91AAAAAMDwmfYGMvfdd1+f262trXK5XOHbbrdbLS0t/dZdLpdaWlrU3t6u1NRU2e32PusAAABjTTTvPCrx7qMAYiNm7yYaCoVks9nCtw3DkM1m+8L1Ux9P99nbkZg8OXXoTWPURfOLcyzyB0Jy2KPbQe9wRPdjG0/1p9dGcr946t1q9cPZNrONbX0se2G2Q6932JNUVv1mxNu9/zuzY/o7MNF/31oZs01MIzXXmIXB9PR0+Xy+8G2fzye3291v/ciRI3K73Zo0aZI6OjoUDAaVnJwcro9WW1unQiFjRB4DYsvlSpPP1zHabZjK5UqL+G3JpZNvTe73B6L6GvFUf6rW4bBHdL946t1q9UPdNrONfX2semG2w6+Pdtux+h1ohd+3VsVsE1M0c01Ksg24cyxml5aYNWuW9u3bpwMHDigYDKqurk4ej0eZmZlyOp3as2ePJKm2tlYej0cOh0PZ2dmqr6+XJG3fvl0ejydW7QIAAABAQovZnkGn06kNGzZo5cqV6unpUW5urvLz8yVJVVVVKi8vV2dnp6ZPn67i4mJJUkVFhUpLS1VTU6OMjAxt3LgxVu0CAACMGs4xBBALpofB1157Lfz3nJwc7dixo1/NtGnTtG3btn7rmZmZ2rJli6n9AQAAxBuHPSnq0wgAIFox2zMIWMGEiePkTOHHCgAAAPGPV63ACHKm2PmfXAAAAIwJMXsDGQAAAABA/CAMAgAAAIAFcZgoMADOAQQAjAW8+yiAoeBVLjAAzgEEAIwF0b776P0r/qFPeBwsSBIegcREGAQAALCY08Ojw2GX3x8YsJ7/7AQSE+cMAgAAAIAFsWcQlsI5gAAAAMBJvCqGpXAOIAAAAHASYRAAAAAD4t1KgcREGAQAAMCAon23Uo6sAcYGwiDGNM4BBAAAAIaGV9EY0zgHEAAAABgawiDizul7+6I5PwEAAMQHzjEExgbCIOLOqb19XAQXAICxKdpzDO9f8Q+ER2AUEAZhOs7rAwAAA+ENaoDRwSt0mI7z+gAAwEjiMFRgZBAGAQAAMKawJxEYGUmj3QAAAAAAIPbYMwgAAAD8f9G+1wGHoGIsIwwi6ic9fyAohz3ZxI4AAABGTrTnGHIIKqyCMIghvcELT5IAAGCsiOYcQ163wEoIg2MAe+4AAADiU7R7HaN9ncZhqDATYXAMYM8dAABAfBrKO5tGU3//in/gMhowDWFwFHARdgAAAEQi2rD52fA4WJAkPFobiWQUcBF2AAAAmOH08Ohw2OX3Bwasj3bPI4e5JhbCIAAAAGBR8XaYazRhk6A5fGMiDL700kuqqalRIBDQzTffrBtvvHG0WwIAAAAwCDPDptl7Na2wFzTuw2BLS4s2bdqkF154QSkpKbr++ut1ySWX6Lzzzhvt1gAAAACMErP3alrhTRmTRruBwTQ2NurSSy/Vl7/8ZY0fP155eXnyer2j3RYAAAAAjGlxv2ewtbVVLpcrfNvtduudd96J+P5JSTYz2hq2M9Oc1A9Sb3fYFfAPvms+HnunfuBaZhv/9UPdNrONfX2semG2w6+Pp15Or2e28d3LcOqtMNt46kWKXfaI9OsMVmczDMMYiYbMUlNTo56eHt15552SpK1bt6q5uVk//OEPR7cxAAAAABjD4v4w0fT0dPl8vvBtn88nt9s9ih0BAAAAwNgX92Hwsssu065du/TJJ5/oxIkTeuWVV+TxeEa7LQAAAAAY0+L+nMGzzz5ba9asUXFxsfx+vxYtWqQLL7xwtNsCAAAAgDEt7s8ZBAAAAACMvLg/TBQAAAAAMPIIgwAAAABgQYRBAAAAALAgwiAAAAAAWBBhEAAAAAAsiDCIuHHo0CHdeOONys/P1/Lly9XV1dWvprW1Vf/0T/+ka665Rtdee6127do1Cp0iWpHM9pQ333xTN998cwy7w1C89NJLmj9/vubOnatnnnmm3+f37t2roqIi5eXlae3atQoEAqPQJYZisNmectddd+mFF16IYWcYjsHm+utf/1rXXHONFi5cqO985zs6evToKHSJoRhstq+++qoKCwtVUFCg0tJS9fb2jkKXGIpIn49/+9vf6sorrxzaFzGAOHH77bcbdXV1hmEYxqOPPmo88MAD/Wr+5V/+xXj66acNwzCMDz74wLjsssuMQCAQ0z4RvUhmGwwGjSeeeML4+te/btx0002xbhFROHz4sDFnzhyjvb3d6OrqMgoLC43333+/T01BQYHxxz/+0TAMw/jBD35gPPPMM6PQKaIVyWwPHz5s3HHHHcaFF15oPP/886PUKaIx2Fw7OjqM2bNnG4cPHzYMwzB+8pOfGPfee+9otYsoDDbbrq4u4/LLLzd8Pp9hGIZx5513Gs8+++xotYsoRPJ8bBiG4fP5jPz8fGPOnDlD+jrsGURc8Pv9ampqUl5eniSpqKhIXq+3X93VV1+tBQsWSJKmTp2qnp4eHT9+PKa9IjqRzvaDDz7QBx98oHvvvTfWLSJKjY2NuvTSS/XlL39Z48ePV15eXp+ZHjx4UN3d3crKypL0xTNH/BlsttLJ/6n+xje+oXnz5o1Sl4jWYHP1+/2qqKjQ2WefLUn6yle+oo8//ni02kUUBpvt+PHj9dprr+mss87SiRMn1NbWpgkTJoxix4hUJM/HklReXq5//ud/HvLXIQwiLrS3tys1NVV2u12S5HK51NLS0q8uLy9PEydOlCQ98cQT+upXv6q0tLSY9oroRDrb888/X/fdd194vohfra2tcrlc4dtut7vPTD/7+S+aOeLPYLOVpFtvvVWLFy+OdWsYhsHmeuaZZ+rqq6+WJHV3d+vxxx/XVVddFfM+Eb1IfmYdDocaGhp0xRVXqL29XZdffnms28QQRDLbn//85/ra176mWbNmDfnr2Id8T2CIXn75Za1fv77P2tSpU2Wz2fqsffb26Z566in96le/0tNPP21KjxiakZgt4l8oFOozQ8Mw+twe7POIX8wuMUU6146ODq1YsULTpk3TtddeG8sWMUSRzjY3N1dvvfWWNm7cqHvuuUcPPfRQLNvEEAw22//+7//WK6+8oqeeekqHDx8e8tchDCLm5s2b1+/wIr/fr0suuUTBYFDJycny+Xxyu92fe/8HHnhADQ0NeuaZZ5Senh6LlhGh4c4WY0N6erp2794dvv3Zmaanp8vn84VvHzlyhJmPEYPNFmNTJHM99QZtl156qcrKymLdIoZosNl++umnam5uDu8NLCws1Jo1a2LeJ6I32Gy9Xq98Pp+uu+46+f1+tba2asmSJfrFL34R1dfhMFHEBYfDoezsbNXX10uStm/fLo/H06/uqaee0ltvvaVf/vKXBMExItLZYuy47LLLtGvXLn3yySc6ceKEXnnllT4zzczMlNPp1J49eyRJtbW1zHyMGGy2GJsGm2swGNSyZcs0b948rV27lr3BY8hgszUMQyUlJTp06JCkkwHi4osvHq12EYXBZrtq1Srt3LlTtbW1evzxx+V2u6MOghJ7BhFHKioqVFpaqpqaGmVkZGjjxo2SpF/+8pdqbW3VqlWr9Nhjjyk1NVVLly4N3+/xxx8Pn/SO+DTYbFevXj3KHSIaZ599ttasWaPi4mL5/X4tWrRIF154oW677TatWrVKM2fOVFVVlcrLy9XZ2anp06eruLh4tNtGBCKZLcaeweZ6+PBh/fnPf1YwGNTOnTslSTNmzNB99903yp1jMJH8zN5777264447ZLPZdN5556mysnK020YEYvV8bDMMwxiRLQEAAAAAxgwOEwUAAAAACyIMAgAAAIAFEQYBAAAAwIIIgwAAAABgQYRBAAAAALAgwiAAIKH953/+p5YuXarCwkItWLBAt956q95///3w57/97W/rk08+GdK233rrLS1YsGCkWpUklZeXq7m5eUS3CQDA5yEMAgASVm9vr+644w6VlpbqpZdeUl1dnQoLC3XbbbcpGAxKkt58881R7rKvxsZGcdUnAEAsEAYBAAnrxIkT6ujo0PHjx8NrCxcu1N13361gMKgf/OAHkqSbb75ZH3/8sd5///3wXsSFCxdq+/bt4ftt27ZNBQUFKiwsVHFxsT7++OM+X2v37t264oor9B//8R/9+rjyyit15513at68eXr11VfV0tKiFStWqKioSIWFhfrpT38qSdq0aZNaW1v1ve99T2+//baWLl0qr9cb3s7pt2fMmKHVq1crLy9P//Vf/6WZM2fqkUce0fXXX68rr7xSv/jFL0bs3xEAkJjso90AAABmmThxokpKSnTrrbfqrLPO0sUXX6xLLrlEBQUFSklJ0fr16/XCCy/o3/7t3zRhwgQtXbpUd911l+bOnauWlhYtXrxYU6dO1bhx41RVVaUXX3xRGRkZeuqpp1RTU6OCggJJ0u9//3vdfffd+ulPf6pp06Z9bi/nn3++fvKTn0iSiouL9a1vfUtXXnmlenp6dNttt+mv//qvtWbNGr300kuqqqrSzJkzB3xsfr9fc+bM0ebNmyWd3At65pln6tlnn1Vzc7NuuOEGXXfddXI6nSP3DwoASCiEQQBAQrvlllu0ePFiNTU1qampST/72c/0s5/9TNu2bVNaWlq4bv/+/erp6dHcuXMlSWeffbbmzp2r119/XWlpabr88suVkZEhSfrWt74l6eQ5g4cPH9ayZct0ww03fGEQlKTs7GxJ0vHjx9XU1KSjR4+Gg9zx48f17rvvav78+VE9tlPbPOUb3/iGJGn69Onq7e3V8ePHCYMAgC9EGAQAJKw9e/boj3/8o2699VbNmTNHc+bM0Xe/+10tWLBAb775pvLz88O1wWBQNputz/0Nw1AgEFBycnKfz3V3d+vgwYOSpOTkZD3++OP6zne+o/z8fM2aNetzexk/frwkKRQKyTAMPfvssxo3bpwk6ZNPPvnC0Hb6+YN+v/9zt3nKqW2c6pVzDwEAA+GcQQBAwpo0aZJqamq0e/fu8JrP51NnZ6cuuOACSSfDXCAQ0Lnnniu73a5XXnlFktTS0qKdO3fqsssu0yWXXKJdu3aptbVVkvTss8/qwQcflCS5XC5dfPHF+v73v6+77rpLJ06cGLCn1NRUZWVl6cknn5QkHTt2TDfccIN+85vf9OnnVP+n3ln0f/7nf/Tee++N1D8NAADsGQQAJK5zzjlHjz32mDZt2qTDhw/L6XQqLS1N999/v84991xJUn5+vpYuXapHHnlE1dXV+tGPfqRHHnlEwWBQK1as0KWXXipJ4XMPpZMB8P7779f+/fvDX+vaa6/Vzp07tWHDBlVWVg7YV1VVle69914VFhaqt7dXCxYs0MKFCyVJV199tUpKSnTPPfdo+fLlKi0tVUNDg84999x+h4UCADAcNoNjSAAAAADAcjhMFAAAAAAsiDAIAAAAABZEGAQAAAAACyIMAgAAAIAFEQYBAAAAwIIIgwAAAABgQYRBAAAAALAgwiAAAAAAWND/A6Wq1KTmZ+BiAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.pylab import rcParams\n",
    "rcParams['figure.figsize'] = 15, 6\n",
    "df_3 = df_2[[\"ret\"]]\n",
    "df_3 = df_3.rename(columns={'ret': 'Stock return'})\n",
    "sns.histplot(data = df_3, x =\"Stock return\", binwidth = 0.01, binrange = (df_3[\"Stock return\"].min()+ 0.00000000001, df_3[\"Stock return\"].max()- 0.01))\n",
    "plt.savefig('returns_distrubution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Distribution of firm size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='me', ylabel='Count'>"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib.pylab import rcParams\n",
    "rcParams['figure.figsize'] = 15, 10\n",
    "sns.histplot(data = df_2, x =\"me\", binrange = (0,15000))\n",
    "plt.savefig('size_distrubution.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Equally weighted portfolio monthly returns over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#retain only return data over time\n",
    "ret_data = df_2[[\"ret\", \"id\", \"eom\"]]\n",
    "#create equal weights\n",
    "ret_data[\"eq_weights\"] = 1/ret_data.groupby('eom')[\"id\"].transform('size')\n",
    "#calculate montly return of the equally weighted portfolio contaning all stocks\n",
    "ret_data['return_stock_ew'] = ret_data[\"ret\"]*ret_data[\"eq_weights\"]\n",
    "ret_data['Returns'] = ret_data.groupby('eom')[\"return_stock_ew\"].transform('sum')\n",
    "#drop duplicates \n",
    "ret_data = ret_data[[\"eom\", \"Returns\"]].drop_duplicates()\n",
    "#rename eon (end of month) to \"date\"\n",
    "ret_data = ret_data.rename(columns={'eom': 'Date'})\n",
    "ret_data = ret_data.set_index(\"Date\")\n",
    "#plot the portfolio returns over time\n",
    "ret_data.plot(grid=True,figsize=(15, 7));\n",
    "#save grapgh\n",
    "plt.savefig('portfolio monthly returns over time.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Portfolio autocorrelation graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 1080x432 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_acf(ret_data)\n",
    "# Show the data as a plot (via matplotlib)\n",
    "plt.show()\n",
    "plt.savefig('Portfolio autocorrelation graph.png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Variable Correlation Heatmap"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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unD744APVr19fffr0UXh4uCZPnqy+ffuqXr16mj17tqpVq6YNGzYoPDxcs2bNuqFcV65cKUn65JNPtHr1am3evFk7d+7U7t275eHhoRUrVmjTpk26dOmSvvrqK+3fv19r1qzRJ598ogULFuj06dOZbT355JN6+OGHr9lP+fLlFRkZqTvvvFPz58/Xhx9+qIiICM2fP//GNywAAAAAAIVUno1YkKSaNWuqZMmS+u6775SSkqI1a9ZIkpKTk3X48GEVL178um3Exsbq+PHj6t27tyQpPT1dd999tyTpmWeeUa9eveTl5aWIiAhJ0o4dOzR9+nRJUp06dbRixYobynXbtm06ePCgvv/++8wcf/rpJz322GMqU6aMli5dqiNHjujYsWNKTk7W9u3bdf/992euQ+fOneV0Xv8+qO3atZMkVa5cWb6+vnJ3d1flypWVmJh4Q3kCAAAAAPKAdf2/35A7eVpY8PLykiQ5nU5FRESofv36kqRz586pdOnS+uGHH67bhsPhUJcuXRQaGipJSkpKksPxxyQVly5dUlJSkpKSknTx4kWVLVtW7u7ustlsmfG//vqratasKTe3nAdjOBwOjR49Wv/85z8lSefPn1fx4sW1efNmzZkzR/3791dwcLAuXLggy7Jks9lkWVZmvLu7u9LS0q67Ph4eHlliAAAAAABwJfkyeWPLli318ccfS5Li4+PVo0cPnTp1Sna7XRkZGTnG+vv7a9OmTfr9999lWZYmTpyoRYsWSZImTZqkxx9/XI8++qgmTZokSWrWrJliYmIk/VFUGDx4cJZCQ045rly5Uunp6UpKStKjjz6qPXv2aNu2berSpYt69eqlUqVKKTY2Vg6HQ61atdKXX36pS5cuKTU1VZs2bTLZRAAAAAAAuIR8+Rf6sGHDNHHiRAUGBmaODKhWrZpKliypS5cuafTo0ZmXMvyvunXratiwYQoJCZHT6VS9evX01FNPaf369Tpx4oTeeOMNWZalXr16af369RoxYoRCQ0PVo0cPubu7Kzw8/IYKC4888oiOHz+uoKAgZWRkKDg4WP7+/ipTpoxGjRqlmJgYeXh4qEmTJoqLi9PDDz+skJAQPfTQQypVqpQqV66c15sNAAAAAIAix2b9dXw/CqXw6o8bxY/c9apR/Ef3vGIUf+X6dZ4cpRrGmw7LyYu7xXpcf5EcpZvGG27DEoaXo11wMzvNGKYvd8MWvA3PkpdtZg14W2b539T7Cl+D6dWMeXEMmh4Dpvugj+FKXDZ8Ez0N9+EMww1guv0L+hhyN9x+pvuP6fZzyGwFfJymayAlGzZheh423YaJhvtgBcNteMHwHOBluP1Mz2HJhvn/bvg9wnQfLuiLmU3XX5KKGZ4HR/22xDiHwiDtyPaCTsGY5x0tCjqFayqQ4+S3337T8OHDr/laWFiYGjZsaNR+v379rjk54iOPPKK+ffsatQ0AAAAAAP5PgRQWqlWrpqioqHxrf/HixfnWNgAAAAAA+D8FPUIWAAAAAAAUYQV9yRAAAAAAAPnOskxnfkJ2KCwUAaYTl5lOvth/j9nkj+kfTDaK//BNs6kL/+122Si+ls3bKF6Skg2nr7vTYXaomk67dcSe821ir8fbcHCUaf6phhOXeVlm+bsZroHpR2Cy4aRj5QwnvTpiNzuL3e6wG8VL0hXDbWA6vK//2/caxS8YuscoPqGAJ367zXAnTjfM33QCWtNJhGummSXwczGzDWB6DjFdf8n8PF7QTL+LeRu+CacNJ+/zMnwH+m4ebBS/rMN7RvGpdrP1N524sE+3s0bxy9ZXMIrPi2Mw1fBzELgeLoUAAAAAAAC5xogFAAAAAIDrc3IpRH5hxAIAAAAAAMg1CgsAAAAAACDXKCwAAAAAAIBco7DwP06cOKFx48Zdd7ndu3erd+/e6tatm55//nmlpaXdUPuzZs3S3LlzTdMEAAAAAPwdlrPo/xRSFBb+x8mTJ3XixIkcl7l8+bKGDx+uV199VTExMZKk1atX5xhz6dIljRs3TgsWLMizXAEAAAAAKGi31F0hYmNjFRERIafTqSpVqsjb21uHDx+Ww+HQ4MGDFRgYqLCwMMXFxWnSpEmaMGHCNdv59ttvdc8996hu3bqSpNDQUDkcOd/hePPmzapRo4YGDhyY5+sFAAAAAEBBueVGLBw7dkyLFi1S9erVVb9+fUVGRmrp0qWaN2+eTpw4odDQUDVo0CDbooIkHT9+XN7e3ho5cqR69uypuXPnqlSpUjn2++CDD+qpp56S3W7P61UCAAAAAKDA3FIjFiSpZs2aKlmypL777julpKRozZo1kqTk5GQdPnxYxYsXv24bDodD33zzjVasWKHKlStr/Pjxmj9/voYPH57f6QMAAAAAcsOZ8yhz5N4tV1jw8vKSJDmdTkVERKh+/fqSpHPnzql06dL64YcfrttG+fLl1bhxY91+++2SpC5dumjJkiX5lzQAAAAAAIXULXcpxJ9atmypjz/+WJIUHx+vHj166NSpU7Lb7crIyMgxtk2bNvrPf/6jU6dOSZK+/PLLzAIFAAAAAAC3klu2sDBs2DClpKQoMDBQISEhGj16tKpVq6Y777xTly5d0ujRo7ONrVSpkl599VU9/fTT6ty5sxISEvSvf/3rJmYPAAAAAEDhcEtdCuHv7y9/f39JUokSJTR9+vSrlvHx8dGnn3563bbat2+v9u3b/+0cmIcBAAAAAAqA5SzoDFzWLVVY+Dt+++23bIsAYWFhatiw4VXP9+vXT4mJiVc9/8gjj6hv3755niMAAAAAAAWNwkI2qlWrpqioqL8Vs3jx4nzKBgAAAACAwumWnWMBAAAAAACYY8QCAAAAAMD1OZljIb9QWCgCMmQZxV+x2Yzi0z+YbBTvMehlo3if2a8YxSfZ0o3i021m21+SvAwHB3kYplDc8Bz6s5vDKL6SZXaqcTNc/0TTBgzdkWbW/0kPs2PYlOkhkCyzHdAmu1kCKgTD80qVNQofGFbVKH7+y3FG8aYqZpjtRCXczI6BDMNDKN0wPtnNbA90NzwG3Qy/BxTLg1NoquE2NI2vmm62EomeZv3f5jTr3/QsaPYpLqUvmG0Un+TmbRTvaZntAN6G34OsNLMtaNq/025+EJruA8D1FPh3LQAAAAAAUHRRWAAAAAAAALnGpRAAAAAAANdnMcdCfmHEAgAAAAAAyDUKCwAAAAAAINe4FAIAAAAA4Pq43WS+uWVHLJw4cULjxo27oWXT09MVEhKi2NjYzOe++OIL9ezZUz169NCQIUOUkJBwQ22tWrVKY8eOzVXOAAAAAAAUNrdsYeHkyZM6ceLEdZc7cuSI+vXrp927d2c+d/nyZU2cOFHz589XdHS06tSpo7lz5+bYTmpqqqZPn66pU6ca5w4AAAAAQGHhkpdCxMbGKiIiQk6nU1WqVJG3t7cOHz4sh8OhwYMHKzAwUGFhYYqLi9OkSZM0YcKEbNtavXq1nnzySS1atCjzufT0dE2YMEF+fn6SpDp16mjdunU55rRjxw45nU6NHj1a+/bty5sVBQAAAACggLnsiIVjx45p0aJFql69uurXr6/IyEgtXbpU8+bN04kTJxQaGqoGDRrkWFSQpDFjxqhjx45ZnvPx8dE//vEPSVJKSormz59/1TL/q02bNhozZoy8vLzMVgwAAAAA8LdZlqPI/xRWLjliQZJq1qypkiVL6rvvvlNKSorWrFkjSUpOTtbhw4dVvHhx4z4uXbqkoUOHqm7dugoKCjJuDwAAAACAosZlCwt/jgxwOp2KiIhQ/fr1JUnnzp1T6dKl9cMPPxi1Hx8fr0GDBqlly5Y3PAkkAAAAAACuxmUvhfhTy5Yt9fHHH0v6oxjQo0cPnTp1Sna7XRkZGblq0+Fw6Omnn1aXLl00fvx42Wy2vEwZAAAAAIAiw2VHLPxp2LBhmjhxogIDA+VwODR69GhVq1ZNJUuW1KVLlzR69GhFRET8rTa3bNmiH3/8UQ6HQxs3bpQkNWjQQFOmTMmPVQAAAAAAmLKcBZ2By3LJwoK/v7/8/f0lSSVKlND06dOvWsbHx0effvrpDbe5ePHizN//8Y9/6NChQ7nKLTg4WMHBwbmKBQAAAACgsHHJwsLf8dtvv2n48OHXfC0sLEwNGza84bZeeOEF/fLLL1c9HxAQoGeffTbXOQIAAAAAUFjd8oWFatWqKSoqKk/amjFjRp60AwAAAABAUXHLFxYAAAAAALcAJ3Ms5BeXvysEAAAAAADIP4xYKAJus8xuZ5lqeDfMD99MN4r3mf2KUXzvfa8axR9oFmoU7224/SWpZrpZG07DFKplpBrFx7l7GsXbLaNwVU83a+CYh9kGdDfMv7TTYRT/u2V2qi7nKNhziJ9h/oaHjyTz49g0h2WPbzGK9zL8B0sNw//QnPAw+z+E3TI7iEoYrv9vhucA0//CnPQwiy9meA4y+wSQaqeZfQ+QpAPFzDaCt+E+UM5ptg4lLLPPQdPzaAXD9ffJMNuJFi7zNoo3Xf+ShufwSo40o/jlmyoaxVd0mL2BxdzNPwj5bzLyG/sYAAAAAADINUYsAAAAAABcn8UcC/mFEQsAAAAAACDXKCwAAAAAAIBcc8nCwqVLlzR06NAC6/+nn35St27dCqx/AAAAAABuFpecYyEhIUEHDx4skL7Xrl2rGTNmyMPDcApoAAAAAEDeMbxTF7LnkoWFsLAwxcfHa+jQoapVq5a2bdumhIQE+fr6aubMmTpz5oyeeuoprVu3Tm5ubgoKCtLbb7+tevXqXbO99PR0TZgwQbt27ZKfn59sNpuGDBkiSYqIiJDT6VTt2rUVGhqqzZs364033tCLL76YGX/58mWNGzdOZ86cUXx8vFq1aqUpU6bIZsuDe6gBAAAAAFCAXLKwEBoaqv79+2vMmDGaPn26li9fLjc3N40ZM0bR0dF64okn1KdPH4WHhys9PV19+/bNtqggScuXL9eVK1f02Wef6eTJk+revXvma8eOHdOXX36pkiVLSpLmzp2ruLi4LPFbt25VvXr1NGfOHKWlpalbt276z3/+owYNGuTPBgAAAAAA4CZxycLCn6pXr64XX3xRq1at0tGjR7Vnzx5Vq1ZNkvTMM8+oV69e8vLyUkRERI7tfPvtt+rdu7dsNpuqVKmiVq1aZb5Ws2bNzKJCdgIDA7Vv3z4tXLhQR44c0cWLF5WcnGy+ggAAAACAG8PtJvONS07e+KcDBw5o0KBBcjqd6tSpkzp27CjLsiT9McFjUlKSfv/9d128eDHHdux2u5zOa++EXl5e181j8eLFCg8PV9myZfX444/rzjvvzMwDAAAAAICizCULC+7u7srIyNCOHTvUokUL9e3bVzVq1NDWrVvlcPwxYcekSZP0+OOP69FHH9WkSZNybK9169Zav369LMvSmTNntH379r81P8K3336rPn36qEePHkpNTdWhQ4eyLVQAAAAAAFCUuOSlEOXKlVPlypW1ZcsWpaSkZM6J0KBBA8XFxWn9+vU6ceKE3njjDVmWpV69emn9+vXq2rXrNdvr3bu3Dh06pO7du6tChQqqXLmyvLy8dOXKlRvKJyQkRBMnTtT8+fNVokQJ3XvvvVfNwwAAAAAAQFHkkoUFDw8PLV++PMdl/lpEiIqKynHZb7/9VgEBAZo8ebIuXbqkBx98UNWqVVOZMmXk7+9/1fJVq1bVli1bMh+3atVKGzdu/JtrAQAAAADIM4wazzcuWVjIjfXr1+vdd9+95mtvvvmmxowZo1mzZkmSRowYoTJlyty85AAAAAAAKKQoLPx/Xbt2zfZSCEn6+OOPb2I2AAAAAAAUDS45eSMAAAAAALg5GLEAAAAAAHB9FnMs5BdGLAAAAAAAgFxjxEIRcMVmGcWXsGxG8f92u2wUn2RLN4o/0CzUKP7VnWFG8ZcGDTSKl6StsVWM4g8UM3sPf/HwNIof2fS/RvGzd5qt/49m6cvb7BBSmtnm15e3mTVQTGYrUMtp1v/X9mSj+E7p3kbxdsP1l6QUm9k2MNyE+tQtwSjex72YUbxluA2ryKz/U3ajcKXK7D9MlZxmCTiMoqUqZh+DOuJh9v65y2wHnl3M7HuAJLWx+RjFexgeg996eRjF100zew+iPW/sFuXZaWyZnUevGG7A72yXjOKr28zyb55q9r/QZbeZnUN+Tj9lFF/Ly2z/v9vpZRQvSY9VM/suB1wPIxYAAAAAAECuMWIBAAAAAOD6nMyxkF8YsQAAAAAAAHKNwgIAAAAAAMg1CgsAAAAAACDXmGMBAAAAAOD6mGMh39yyIxZiY2PVr1+/gk4DAAAAAIAi7ZYtLAAAAAAAAHO39KUQFy5c0KBBgxQfH69GjRppwoQJ+v777zVnzhxlZGSoatWqmjx5snx8fLJto1+/frr77ru1a9cupaamatSoUfroo4/066+/asCAARowYICSkpL06quv6vDhw3I4HBo8eLACAwNv4poCAAAAwK3NshwFnYLLuqVHLMTFxenll19WdHS0kpKSNH/+fM2YMUMffPCB1q5dqzZt2mj69OnXbceyLK1evVqdOnVSWFiY3nzzTS1dulRvvfWWJOmdd95R/fr1FRkZqaVLl2revHk6ceJEfq8eAAAAAAD57pYesdCsWTPVqFFDktS9e3eNHTtWNptN/fv3lyQ5nU6VLl36uu20a9dOklS5cmU1btxYt912m6pUqaLExERJ0nfffaeUlBStWbNGkpScnKzDhw/r9ttvz4e1AgAAAADg5rmlCwvu7v+3+pZlSZKaNGmiefPmSZJSU1OVlJR03XY8PDyu2eafnE6nIiIiVL9+fUnSuXPnbqhgAQAAAABAYXdLXwqxa9cunTx5Uk6nU2vXrlVISIj27Nmjo0ePSpLefvtthYeHG/fTsmVLffzxx5Kk+Ph49ejRQ6dOnTJuFwAAAABwg5zOov9TSN3SIxZq1aqlcePG6ezZs2rZsqWeeeYZ3X333XruuefkdDrl5+eniIgI436GDRumiRMnKjAwUA6HQ6NHj1a1atXyYA0AAAAAAChYt2xhwd/fP3MUwV8FBAQoICDghttZvHhx5u/BwcEKDg7OfPzTTz9JkkqUKHFDk0ACAAAAAFDU3LKFhb/jhRde0C+//HLV8wEBAXr22WcLICMAAAAAAAoHCgs3YMaMGQWdAgAAAADAhFV45ygo6m7pyRsBAAAAAIAZCgsAAAAAACDXuBSiCChl2Yzi0w37r2XzNuvfZhnFexuu/6VBA43iS36wwCheko43ecUo3sOwf5tl9h7E/+c2o3jT/N1ktg+kGu6DDqNoKV1m/Rc3C9ddVrJR/Caz7pVoN4sv7TB7/yUpybCMbvgW6C63EkbxHobHQIrhGpjuwyUsszfA23D9SxmOfN3vbvZJ6mU3Owu6G66/r+FJrL57KbMGJJ1ShlF8bcOvrKbb8LzheayszdOsAcOTkOkxUMu9uFF8CdPvsjaz+Ioy2/7FPSoYxV8y3P/LmX4RkVRuKZd2I39RWAAAAAAAuD4ncyzkFy6FAAAAAAAAuUZhAQAAAAAA5BqFBQAAAAAAkGvMsQAAAAAAcH0Wcyzkl1tixMLYsWMVGRmZ7et16tS55vMrV67Up59+ml9pAQAAAACQL9atW6euXbvqn//8p5YuXXrV6//5z3/Uq1cv9ejRQ//617+UmJiY675uicJCbv3www9KS0sr6DQAAAAAALhhZ86c0cyZM7Vs2TKtXbtWK1as0C+//JJlmSlTpmjEiBGKjo5WzZo19cEHH+S6P5e8FMKyLE2bNk1bt26Vr6+vHA6HWrRoobVr12rRokVyOp2qX7++JkyYoGLFikmSXn75Ze3bt08+Pj6aOnWqjh07pi1btuj7779XhQoV1LZt22v2NXfuXJ08eVLHjh3T+fPn9cwzz2jbtm3au3ev6tatq5kzZ8pms2n+/PnasGGDHA6H2rRpo9GjR8tmeE9eAAAAAMCtIzEx8ZojC0qVKqVSpUplPv7uu+/UsmVLlSlTRpLUqVMnffbZZxo2bFjmMk6nU0lJSZKkK1euqHTp0rnOyyULCxs3btSPP/6oTz/9VJcuXVKPHj105coVxcTEaPny5SpWrJhmzJihDz74QEOGDJEkNW/eXJMnT9bSpUs1ZcoUvfXWWwoICFCLFi2yLSr86eeff9aKFSv0ww8/KCQkROvWrVONGjXUtWtX/fTTT4qPj9eBAwe0evVq2Ww2jR49WtHR0erZs+fN2BwAAAAAAGfRn2Nh0aJFevPNN696ftiwYRo+fHjm4/j4eFWoUCHzsa+vr/bt25clZuzYsXriiSc0depU3XbbbVq5cmWu83LJwsL27dv1z3/+Ux4eHipbtqzatWsny7J0/Phx9e7dW5KUnp6uu+++W5Lk5eWlHj16SJJ69uypWbNm/a3+7rvvPrm7u6ty5cqqUKGCatWqJUny8/NTQkKCtm3bpn379ik4OFiSlJKSosqVK+fR2gIAAAAAbgUhISEKCgq66vm/jlaQ/hiN8NcR8pZlZXmckpKi8ePHa+HChWrUqJEWLFigF198UfPnz89VXi5ZWLDZbLIsK/Oxu7u7HA6HunTpotDQUElSUlKSHA6HJMnN7f+mmrAsS+7uf2+zeHh4ZOnrfzkcDoWEhGjgwIGS/hi+Yrfb/1YfAAAAAIBb2/9e8pCdihUraufOnZmPz549K19f38zHP//8s4oVK6ZGjRpJkvr06aPZs2fnOi+XnLyxVatW2rBhg9LS0pSQkKB///vfkqRNmzbp999/l2VZmjhxohYtWiRJSk5O1ubNmyVJa9asUevWrSVJdrs9s/hgomXLloqKilJSUpIyMjI0dOhQbdy40bhdAAAAAMANspxF/+cGtW7dWtu2bdP58+d15coVff7552rXrl3m69WrV9fp06d15MgRSdLmzZvVsGHDXG9alxyx0LFjR+3fv1+BgYEqX7687rzzTpUsWVLDhg1TSEiInE6n6tWrp6eeekrSH1WfL774QrNnz5afn59ee+01SX+8GW+88YZKliypzp075zqfgIAAHTp0SL1795bD4VDbtm2vOXwFAAAAAABTfn5+GjlypPr376/09HQ99NBDatSokQYPHqwRI0aoYcOGeu211/Tcc8/JsiyVK1dOU6dOzXV/Nuuv1wygUJpd7XGj+HTD/i+4mU1yki6zXaykZTawZug9cWb9f7DAKF6S3mzyilF8iuENRDIM34Pet503il99paxRvJvMNoDTcP1Nxy1dtJm1UMYyu3Tqn+lXjOLf8rj+Mjlp5fQ2ii9tPnBMFwyvPjP9oIyzm62Eh+ExkGK4BqYX75UwPI+bDq/0dZhtv/3uZp+kdznMDqJLhhvA1/AY+tnd/CA03QdrO8z+F2a6DcsaboIf3TOM4m93mq2/j+F8db+4mzVQwjI7Bqunm8Uf8jTL/5JM483e/7bpXkbxkvTYd88bxXtWb2KcQ2FwZePVkx4WNbd1Gnb9hQqAS45YyGsLFy7UJ598ctXzvr6+eu+99wogIwAAAAAACgcKCzdgwIABGjBgQEGnAQAAAADILRe43WRh5ZKTNwIAAAAAgJuDwgIAAAAAAMg1LoUoAsqbzfeic4bvcrLhhDVehvWrmoYT9myNrWIUf9xw4kVJGvbDq0bxH9xrloPp5HdfOssZxVcxHHVWzHCO2brul43iE1I9jeLLFzebPHF/Smmj+EoVE43iG/5e0Si+dprZxHc7vQxnj5SUZDPbCT0NJx4zncTW12k2feIz48yO4Y+m/G4U72V4DvAwnD1zu6fZB2kly2wf3GNPMYqvZZlN3HbZ8N9IQ8vHmzUgaenZSkbxqYaTGAe6JRjFr9H17xmfkyqW2ZexO9LMDqJvDA9C00mgPWwF+ydHE7NDUAeLmZ2Dny1lNgn2Jwnmkze+1fYNo/iRvy0xzgGujcICAAAAAMD1McdCvuFSCAAAAAAAkGsUFgAAAAAAQK5RWAAAAAAAALnGHAsAAAAAANdnMcdCfmHEAgAAAAAAyDUKCzk4c+aMBg8eXNBpAAAAAABQaFFYyIGfn5/ee++9gk4DAAAAAIBCizkW/r/Y2Fi9++678vLy0q+//qo6depo5MiRGjRokLZs2ZJt3Ny5c3Xy5EkdO3ZM58+f1zPPPKNt27Zp7969qlu3rmbOnCmbzab58+drw4YNcjgcatOmjUaPHi2bzXYT1xAAAAAAbmFO5ljILxQW/mL37t3asGGDfH191bt3b33zzTc3FPfzzz9rxYoV+uGHHxQSEqJ169apRo0a6tq1q3766SfFx8frwIEDWr16tWw2m0aPHq3o6Gj17Nkzn9cIAAAAAID8RWHhL2rXrq2KFStKku68804lJCTcUNx9990nd3d3Va5cWRUqVFCtWrUk/XEpRUJCgrZt26Z9+/YpODhYkpSSkqLKlSvnz0oAAAAAAHATUVj4i2LFimX+brPZbviPfw8Pj8zf3d2v3qQOh0MhISEaOHCgJCkxMVF2u90wWwAAAAAACh6TN94ELVu2VFRUlJKSkpSRkaGhQ4dq48aNBZ0WAAAAANw6LGfR/ymkGLFwEwQEBOjQoUPq3bu3HA6H2rZtq6CgoIJOCwAAAAAAYxQW/j9/f3/5+/tnPp42bZokZc6LkJ3hw4dn/l61atUsd5BYvHhx5u9DhgzRkCFD8ipdAAAAAAAKBQoLN2DhwoX65JNPrnre19dX7733XgFkBAAAAAD4W7jdZL6hsHADBgwYoAEDBhR0GgAAAAAAFDpM3ggAAAAAAHKNwgIAAAAAAMg1m2VZVkEngZy9VONRo/hyTrP6kZfhHuJhGH+bYfwxd7MGPGQzS0CSj+HlXIN2v2oU/3vwE0bxb/9WxSi+zRWHUfxlm9k+nGg3i483vGisTdoVo/htHrcZxZseQ8mGh8BXumgUH+gsY5aApLIOs41w3m62ERzmpxEjBX1FaTnD7X9viQtG8bsulzWKv2z4b5jq6RlG8SmG50DT3e8XT/P/Q5Uy3AlNMzjgbvYetE0xy+C0h1l8McPz+O92s3hvw/fP9Bzom2G2AX43PIf/Zjf7HlPeMnsD6qSan8UPGx7Ho35bYpxDYXAlcmpBp2DstuBxBZ3CNTFiAQAAAAAA5BqFBQAAAAAAkGsUFgAAAAAAQK5xu0kAAAAAgOtzFvSsQ66LEQsAAAAAACDXKCxI6tevn2JjY/O1j2XLlqlbt27q2rWrXn/9dXEzDgAAAACAK6CwcBOcOHFCCxcu1KpVq7Ru3Trt3r1b3377bUGnBQAAAACAMZedY+H06dMaNWqUkpOT5ebmptDQUJ06dUoLFixQSkqK0tLSNHXqVDVp0iRL3Pz587VhwwY5HA61adNGo0ePls2W/b1v169frzlz5sjb21v16tWTw+HQtGnTFBAQoEaNGungwYNatmyZYmJi5OHhoQsXLujy5csqVapUfm8CAAAAAMCfmGMh37jsiIXVq1erffv2ioyM1IgRI7Rjxw4tX75c8+bNU3R0tJ588knNnz8/S8zXX3+tAwcOaPXq1Vq7dq3OnDmj6OjobPs4f/68pk6dqkWLFmn16tVKSEjI8nq7du20ceNGlStXTh4eHlq5cqU6duyoChUqqG7duvmy3gAAAAAA3EwuW1ho1aqVPvzwQ73wwgu6ePGi+vfvr7feekvffPONZs+erU8++URJSUlZYrZt26Z9+/YpODhYQUFBOnDggH755Zds+9i5c6fuvfde+fn5yc3NTQ8++GCW1xs3bpzlce/evRUbG6vy5cvrzTffzLN1BQAAAACgoLjspRBNmzZVTEyMtm7dqvXr12vVqlU6e/asevTooebNm6tOnTpaunRplhiHw6GQkBANHDhQkpSYmCi73Z5tH25ubnLmMJymWLFikqRTp07p5MmTatq0qdzd3dWtWzd9/PHHebCWAAAAAAAULJcdsRAeHq7o6GgFBQXplVde0fbt22Wz2fT000/L399fmzZtksPhyBLTsmVLRUVFKSkpSRkZGRo6dKg2btyYbR9NmjTR/v37FR8fL8uytH79+mvOx3Dp0iWNHj1aiYmJsixLGzduVNOmTfN8nQEAAAAA2bCsov9TSLnsiIV+/frphRdeUGRkpOx2u959911FR0erS5custlsatOmjXbt2pUlJiAgQIcOHVLv3r3lcDjUtm1bBQUFZdtH2bJlFRoaqieeeEKenp6qWrXqNSdlvOuuu/TUU0/pkUcekd1uV7NmzTJHRQAAAAAAUJS5bGGhUqVKWrZsWZbn2rdvn+VxaGioJGnx4sWZzw0ZMkRDhgy5oT4uXLigQ4cOKTo6Wm5ubgoLC1P16tUlSVu2bMmy7COPPKJHHnnk764GAAAAAACFmssWFvJKSkqK+vTpc83Xhg8frsTERAUGBsput6t+/frq3bv3Tc4QAAAAAHBd3G4y31BYuA4vLy9FRUVl+3rHjh1vYjYAAAAAABQuLjt5IwAAAAAAyH8UFgAAAAAAQK5xKQQAAAAAwPUxx0K+obBQBJgOK0m3mcUbhqu44fFbLSPVKP4XD0+jeFse3C+2tMMs/vfgJ4ziy0V+aBTv1vRlo/jS9jSjeC+n3Sg+1TLbB0yPAl+fy0bx1uXbjOINdz+ZbX2pmM3sLHY5D8bWlSrg7xGm3ZcxfBOdhifyBMP3wNtpdh71rZdkFO+53cco3mEz24CX3MyOIi/LbA/yMPwcK2aZH4Smx4CH4UdxbYfZV16HzSwB0y1YwmHWf7zdbB9OMTyHZBjGm55DEt3MEvAw/jZsxk3m30VN3wPgergUAgAAAAAA5BqFBQAAAAAAkGtcCgEAAAAAcH2Gl5Yhe4xYAAAAAAAAuUZhQVK/fv0UGxub7/2kp6crJCTkpvQFAAAAAMDNQGHhJjly5Ij69eun3bt3F3QqAAAAAADkGZedY+H06dMaNWqUkpOT5ebmptDQUJ06dUoLFixQSkqK0tLSNHXqVDVp0iRL3Pz587VhwwY5HA61adNGo0ePli2H20ytX79ec+bMkbe3t+rVqyeHw6Fp06YpICBAjRo10sGDB7Vs2TKtXr1aTz75pBYtWpTfqw4AAAAA+F9O5ljILy47YmH16tVq3769IiMjNWLECO3YsUPLly/XvHnzFB0drSeffFLz58/PEvP111/rwIEDWr16tdauXaszZ84oOjo62z7Onz+vqVOnatGiRVq9erUSEhKyvN6uXTtt3LhR5cqV05gxY9SxY8d8WVcAAAAAAAqKy45YaNWqlYYPH66DBw/q/vvvV//+/dW3b19t2bJFR48e1fbt2+XmlrWusm3bNu3bt0/BwcGSpJSUFFWuXDnbPnbu3Kl7771Xfn5+kqQHH3xQX3zxRebrjRs3zoc1AwAAAACg8HDZwkLTpk0VExOjrVu3av369Vq1apXOnj2rHj16qHnz5qpTp46WLl2aJcbhcCgkJEQDBw6UJCUmJsput2fbh5ubm5w5DKcpVqxY3qwMAAAAAACFlMteChEeHq7o6GgFBQXplVde0fbt22Wz2fT000/L399fmzZtksPhyBLTsmVLRUVFKSkpSRkZGRo6dKg2btyYbR9NmjTR/v37FR8fL8uytH79+hznYwAAAAAAFBDLKvo/hZTLjljo16+fXnjhBUVGRsput+vdd99VdHS0unTpIpvNpjZt2mjXrl1ZYgICAnTo0CH17t1bDodDbdu2VVBQULZ9lC1bVqGhoXriiSfk6empqlWrqlSpUvm9agAAAAAAFBouW1ioVKmSli1bluW59u3bZ3kcGhoqSVq8eHHmc0OGDNGQIUNuqI8LFy7o0KFDio6Olpubm8LCwlS9enVJ0pYtW64Z89e+AAAAAAAo6ly2sJBXUlJS1KdPn2u+Nnz4cCUmJiowMFB2u13169dX7969b3KGAAAAAAAUHAoL1+Hl5aWoqKhsX+cWkgAAAABQBOQw8T7MuOzkjQAAAAAAIP9RWAAAAAAAALnGpRAAAAAAANfHpRD5hsJCEZAus/uVljA8fo7YM4zif3ZzGMXHuXsaxY9s+l+j+Pj/3GYUL0lfOssZxb/9WxWjeLemLxvFj9812Sh+UrNQo/gyTrPBVYluZseQu+E9g+cklzGKt7mZHYOW4TlksC3ZKF6O0kbhZcxOIZKkFJvNvBEDh+zpRvGe9oLNv4TsRvEX3Mzy/2pvJaP4Cp5m/f9qSzGKf8DhZRT/s6fZOdD0a7RvHhyD37lfMYpvl2H2WXzZcIyuj+EhWNphdh4+argPN00x+xyJMfwqVM4yO4fsLWa2/kk2s534hGV2DrjDZrYB9xQzH2QeZL9o3AaQEy6FAAAAAAAAuUZhAQAAAAAA5BqXQgAAAAAAXJ/FHAv5hRELAAAAAAAg1ygsAAAAAACAXKOwAAAAAAAAco3CgqR+/fopNja2oNMAAAAAAOQTy2kV+Z/CisICAAAAAADINZe9K8Tp06c1atQoJScny83NTaGhoTp16pQWLFiglJQUpaWlaerUqWrSpEmWuPnz52vDhg1yOBxq06aNRo8eLZvNlm0/9913nzp06KB9+/apfPny6tWrlxYvXqzTp09r2rRpatGihY4fP66JEyfq4sWL8vLy0ssvv6y77747vzcBAAAAAAD5zmVHLKxevVrt27dXZGSkRowYoR07dmj58uWaN2+eoqOj9eSTT2r+/PlZYr7++msdOHBAq1ev1tq1a3XmzBlFR0fn2M+5c+fUrl07rV27Vqmpqfriiy+0bNkyDR8+XIsWLZIkvfjiixo9erQ++eQTTZ48WSNHjsy39QYAAAAA4GZy2RELrVq10vDhw3Xw4EHdf//96t+/v/r27astW7bo6NGj2r59u9zcstZVtm3bpn379ik4OFiSlJKSosqVK1+3r3bt2kmSqlSpoqZNm0qSKleurMTERCUlJenAgQN66aWXMpdPTk7WhQsX5OPjk1erCwAAAADIidNZ0Bm4LJctLDRt2lQxMTHaunWr1q9fr1WrVuns2bPq0aOHmjdvrjp16mjp0qVZYhwOh0JCQjRw4EBJUmJioux2+3X78vT0zPz9f5d3Op3y9PRUVFRU5nOnT59WmTJlDNYOAAAAAIDCwWUvhQgPD1d0dLSCgoL0yiuvaPv27bLZbHr66afl7++vTZs2yeFwZIlp2bKloqKilJSUpIyMDA0dOlQbN240yqNkyZKqUaNGZmHh22+/1WOPPWbUJgAAAAAAhYXLjljo16+fXnjhBUVGRsput+vdd99VdHS0unTpIpvNpjZt2mjXrl1ZYgICAnTo0CH17t1bDodDbdu2VVBQkHEuERERmjhxot5//315eHho5syZOU4ICQAAAABAUeGyhYVKlSpp2bJlWZ5r3759lsehoaGSpMWLF2c+N2TIEA0ZMuSG+/npp58yf582bVrm7/7+/vL395ck3XnnnVn6AAAAAADcZBZzLOQXly0s5JWUlBT16dPnmq+NGDFCHTp0uMkZAQAAAABQeFBYuA4vL68sEy8CAAAAAID/Q2EBAAAAAOD6nFZBZ+CyXPauEAAAAAAAIP8xYqEIuN1hN4q/4GZWmfM2rD9Vssx2M7thYXH2zipG8R5m3UuSqhjOE9MmzXH9hXJQ2p5mFD+pWahR/ISdYUbx/64/1ig+w3AfXuiVahQf7pdgFD/lTHmj+JqWp1H8MpU0ik9wM9v/asssf0nyNjwGLxuW4X0Nz4PlnWZ3EiphuP7/Nfy2YHofpPH1TxnFx+y53Sg+1b2YUfwFs49xtU81OwdVqWh2Dlr3u59RvCTVsryM4g+6m30OehnuhSk2s5PArx5mB2Exw+9Ce7zMDmJvmeVveg54quZ/jeLX/lLVKN7N/TajeE/LbAv0cr9oFC9J0Rk+RvENjDOAq2PEAgAAAAAAyDVGLAAAAAAAXJ+T203mF0YsAAAAAACAXKOwAAAAAAAAcq1IFxZiY2PVr1+/gk7jKmfOnFGbNm0KOg0AAAAAAPIdcyzksa+++kpTp07V2bNnCzoVAAAAAMCfmGMh37hEYaFfv35q2LChdu3apfPnzys0NFT333+/zp07p/Hjx+vkyZNyd3fXyJEj1a5dO505c0bjxo3TpUuXFB8fr6CgID377LM59jFjxgxt3LhRPj4+qlChggICAtSiRQs9+eST8vHxkZeXlxYsWKDVq1dr7ty56t69e2ZsRkaGJk6cqMOHD+vcuXOqU6eO3njjDXl5md16CQAAAACAguYShQVJSk9P14oVK7RlyxbNnj1b999/vyZPnqyWLVtq4MCBOnHihPr27au1a9fq008/VWBgoIKCgnTp0iXdf//96tevn8qWLXvNtrds2aJdu3bp008/1ZUrVxQUFKSAgABJ0tGjR/X++++ratU/7o87d+7cq+J3794tDw8PrVixQk6nUyEhIfrqq6/UqVOn/NsgAAAAAADcBC5TWGjbtq0kqXbt2rp48aIk6fvvv1dYWJgk6fbbb1fjxo21d+9eDRo0SN9//70++OADHT58WOnp6bpy5Uq2bX/33Xfq0qWLPD095enpqY4dO2a+Vq5cucyiQnaaN2+uMmXKaOnSpTpy5IiOHTum5ORkwzUGAAAAAKDgFenJG/+qWLFikiSbzZb5nGVZWZaxLEsOh0PTpk3T4sWLVblyZT3zzDPy8fG5atm/cnNzkzOb63Fu5HKGzZs3a9SoUfLy8lJwcLCaN2+eY38AAAAAgDxmWUX/p5BymcLCtbRs2VKrV6+WJJ04cUI//PCD7rnnHn377bcaNGiQunTpoqNHj+rMmTPZFg4kqXXr1vr888+Vlpamy5cva+vWrVkKGNezbds2denSRb169VKpUqUUGxsrh8NhvH4AAAAAABQ0l7kU4lrGjx+vV155RZGRkZKksLAw+fr66l//+pfGjBkjLy8vVaxYUQ0aNFBcXJyqVat2zXbat2+v3bt3KygoSKVLl5avr2/mCIkb8fDDD2vUqFGKiYmRh4eHmjRpori4uDxZRwAAAAAAClKRLiz4+/vL398/y3NVq1bVli1bJEl+fn569913r4oLDAxUYGDgDfeze/du1ahRQzExMUpPT1efPn10xx13ZOnrf/3000+Zv9epU0fr1q274f4AAAAAACgqinRhIS/t3LlTkydPvuZr8+fP15tvvqkFCxbIsiw9+OCDqlu37k3OEAAAAACQazlc/g4zFBb+v2bNmikqKirb1z/44IObmA0AAAAAAEWDS0/eCAAAAAAA8heFBQAAAAAAkGtcCgEAAAAAcH1Oq6AzcFkUFoqAi25mB4DNsH/TeMP0VT3drIEfPc36dzPeAlIxy2wdLtvMBhd5Oe1G8WWcZv3/u/5Yo/i2/5lmFH+gyUij+NbOkkbxpwzvLlvLbrgTG6ps+P6n2M3iHUbRrsHD8DzqYXgOshueB+2G+Z/71dso/nezU6BKWmbrb/o1Ns5247e4vpZzpysYxZcw3H6SdMFwjKyPZdZAaaf5Z7mJ6hlm+XeudMoofsWZSkbxboabz3SI9M+HyhvFXzA7hIzzv2Az+ySLv2x2DpQkNy/jJoAccSkEAAAAAADINUYsAAAAAABcn8XtJvMLIxYAAAAAAECuUVgAAAAAAAC5RmEBAAAAAADkmssWFvbv36/x48cXSN/p6ekKCQlRbGxsgfQPAAAAAPgfTqvo/xRSLjt5Y8OGDdWwYcOb3u+RI0c0btw4/fjjjze9bwAAAAAAbjaXLSzExsbqzTfflPRHkWHXrl06f/68QkND1ahRIwUGBmrr1q3y8PDQzz//rFGjRik6Ojrb9tavX685c+bI29tb9erVk8Ph0LRp0xQQEKBGjRrp4MGDWrZsmVavXq0nn3xSixYtyhK/ZMkSRUVF6cqVK/Lw8NCMGTN0xx135Os2AAAAAAAgv7nspRB/lZ6erhUrVuill17S7Nmz5ePjo0aNGumbb76RJMXExKhHjx7Zxp8/f15Tp07VokWLtHr1aiUkJGR5vV27dtq4caPKlSunMWPGqGPHjllev3z5sr744gstXrxYn376qdq3b6+lS5fm/YoCAAAAAHCT3RKFhbZt20qSateurYsXL0qSevTooZiYGEnShg0b1L1792zjd+7cqXvvvVd+fn5yc3PTgw8+mOX1xo0b59h/iRIlNGPGDMXExGjGjBn68ssvlZycnPsVAgAAAAD8LZbTWeR/CqtborBQrFgxSZLNZst8rkOHDtqxY4d27NihSpUqyc/PL9t4Nzc3OXN4E/9sPzunTp1Snz59dOnSJbVr105BQUGyrMI78QYAAAAAADfqligsXIunp6fatm2rqVOn5ngZhCQ1adJE+/fvV3x8vCzL0vr167MUKa5n//79ql69ugYMGKCGDRvqiy++kMPhMF0FAAAAAAAK3C1bWJCknj176tdff1WnTp1yXK5s2bIKDQ3VE088oV69eikjI+O6oxT+6r777pPT6VTXrl0VFBSkmjVrKi4uzjR9AAAAAAAKnMveFcLf31/+/v5Znqtataq2bNmS+bh58+bat2/fddu6cOGCDh06pOjoaLm5uSksLEzVq1eXpCzt/dXixYszfy9evLgWLFiQm9UAAAAAAOQFJ5ej5xeXLSz8XSkpKerTp881Xxs+fLgSExMVGBgou92u+vXrq3fv3jc5QwAAAAAACh8KC/+fl5eXoqKisn39f28hCQAAAABAYbVu3Tq98847ysjIUEhIiB577LEsrx85ckQTJkxQQkKCKlSooDfeeEOlS5fOVV+39BwLAAAAAAC4mjNnzmjmzJlatmyZ1q5dqxUrVuiXX37JfN2yLD3zzDMaPHiwoqOjVa9ePc2fPz/X/TFiAQAAAADg+ixnQWdgLDExUYmJiVc9X6pUKZUqVSrz8XfffaeWLVuqTJkykqROnTrps88+07BhwyRJ//nPf+Tt7a127dpJkp5++ulrtnujKCwAAAAAAFAELFq0SG+++eZVzw8bNkzDhw/PfBwfH68KFSpkPvb19c1y44LffvtN5cuX17hx43Tw4EHdcccdevnll3OdF4WFIuA2y2YUn24WrlSZzZ6a6GYWf8zDbAW8DSd/TbWZzx5b1/2yUfxeR0mj+FTL0yje9D3MMLzq6kCTkUbxDX6YaRRf+/UXjOKPrMowir8vLdkofofd2yj+guH7X9ayG8XnxTFoczM7j5hmkGa4DufsZvk3cl4xij+s24zik9zM/kN06kIJo3h3s1OgaqQ7jOIPFDM7Bkob7r+mk6Af8jBbf0nyTzFbh/VeaUbxHnazz6G6NrOd6LThMeBd0exz5PRZs/fQS2bvn5th/BXL7E+W0FNfGsW/Uqm9Ufzcc9uN4nuWaGoUL0npxp9kKCxCQkIUFBR01fN/Ha0gSU6nUzbb/x17lmVleZyRkaHt27dryZIlatiwoWbNmqVp06Zp2rRpucqLwgIAAAAAAEXA/17ykJ2KFStq586dmY/Pnj0rX1/fzMcVKlRQ9erV1bBhQ0lSYGCgRowYkeu8mLwRAAAAAOD6nFbR/7lBrVu31rZt23T+/HlduXJFn3/+eeZ8CpJ077336vz58zp06JAkacuWLapfv36uNy0jFgAAAAAAcCF+fn4aOXKk+vfvr/T0dD300ENq1KiRBg8erBEjRqhhw4Z66623FBoaqitXrqhixYoKDw/PdX8UFgAAAAAAcDHdu3dX9+7dszz33nvvZf7euHFjrV69Ok/6orAAAAAAAHB9zqJ/u8nCijkWrqNOnTp52t6cOXOyTKIBAAAAAEBRRmHhJtuxY4ccDvPbNgEAAAAAUBgUmsLCvHnz1LVrV3Xv3l3Tpk2Tw+HQzJkz1bt3b3Xq1En9+vXTuXPnJEnr1q1T165d1a1bN40dO1bp6em6ePGihg4dqi5duqhnz57atm2bJKlly5Z68skn1bNnT3377bfq169fZp9jx45VZGSkJGXb15+2bdum4OBgBQcHa+DAgTp//nyO67NkyRI9/PDDCgwMVFBQkI4cOaK1a9fqwIEDCg0N1U8//ZSXmw8AAAAAgAJRKAoLX331lbZs2aI1a9bok08+0fHjx7VkyRIdOXJEy5cv18aNG1WpUiVFR0frzJkzeu211/Thhx8qJiZGDodDX331lWbPnq1q1appw4YNCg8P16xZsyRJFy5c0ODBgxUVFSV392tPKXH8+PFr9vVXb7/9tiZOnKjIyEi1bt1aP/74Y7brc/nyZX3xxRdavHixPv30U7Vv315Lly7Vgw8+qAYNGigsLCzPL7EAAAAAAOSgoG8VeRNvN3mzFYrJG7///nt169ZNt912mySpV69eWrt2rcaOHatVq1bp6NGj2rNnj6pVq6bdu3erSZMmqlixoiQpIiJCkjRr1ixNnz5d0h/zIqxYsSKz/caNG+fYf/Xq1fXiiy9e1ddfdejQQcOGDVPHjh3VoUMH3Xfffdm2V6JECc2YMUMxMTE6duyY/v3vf6tevXp/f8MAAAAAAFDIFYoRC85rzM6ZkZGhQYMGyel0qlOnTurYsaMsy5K7u7tsNlvmcufPn9f58+evev7XX3/NbNfLy0uSZLPZZFn/V+VJT0+XJB04cOCaff3VgAEDtHjxYlWrVk0RERF65513sl2fU6dOqU+fPrp06ZLatWunoKCgq9oDAAAAAMAVFIrCQsuWLRUTE6OUlBRlZGRozZo1atGihVq0aKG+ffuqRo0a2rp1qxwOhxo2bKg9e/bo7NmzkqSpU6dq8+bNatasmWJiYiT9UVQYPHhwlkKDJPn4+OjEiRNKTU3VxYsXtWvXLkl/TKh4rb7+6uGHH1ZSUpIGDBigAQMG5HgpxP79+1W9enUNGDBADRs21BdffJHZnt1uZ/JGAAAAAIDLKBSXQjzwwAM6ePCgevXqpYyMDLVp00adOnXSc889p+7du0uSGjRooLi4OPn5+Wn8+PGZIwzuueceBQcHKykpSaGhoerRo4fc3d0VHh5+VWGhdu3auv/++9WtWzdVqVJFTZs2lSR17dpVw4YNu6qvv3r++ec1duxYubu7y9vbW2FhYdmuz3333aePP/5YXbt2lWVZat68uQ4fPixJatu2rSZMmKDXX39dTZo0ybNtCAAAAADIgXX1SHnkjUJRWJCkIUOGaMiQIVmeW7Vq1TWX7dy5szp37pzluVKlSmnOnDlXLfu/d1949dVXr9lmdn39Gd+qVaurJnTMTvHixbVgwYJrvjZo0CANGjTohtoBAAAAAKCwKzSFhaImJSVFffr0ueZrI0aMUIcOHW5yRgAAAAAA3HwUFnLJy8tLUVFRBZ0GAAAAAAAFisICAAAAAMD1OblTX34pFHeFAAAAAAAARRMjFooA2/UXyZG3YWHOyyrY+pO7Yf5phhswL24OmpDqaRQf72WagdlGcLfM3oSFXqlG8a2dJY3ia7/+glF8sRdnGMVnLB9pFF+37QWj+B3feRvFl3Wa7T+phsdguulJUObnAdMUyjkL9jya4DA7B5V0N9sCaTaz+K1eZvn7FPA/qDJklsBWD7Nz6K6Uk0bxgaphFC9JdsP4uyyzD0Jvw4ngE9zM3kNfw3PAVzuqGMXbvczyL+hz2Me3pRvFN7TVMIr3Nfwc7FCuvlH8S45zRvGS1MFWybgNICeMWAAAAAAAALnGiAUAAAAAgMuznIbDl5AtRiwAAAAAAIBco7AAAAAAAAByjUshAAAAAACuj9tN5htGLAAAAAAAgFwrdIWFS5cuaejQoQWdRqY6derkaXtz5szRzp0787RNAAAAAAAKSqErLCQkJOjgwYMFnUa+2bFjhxwOR0GnAQAAAABAnih0cyyEhYUpPj5eQ4cOVa1atbRt2zYlJCTI19dXM2fOVPny5bVu3Tq98847stlsatiwoSZPnqykpCSNHz9eR44ckaenp8aOHatWrVqpZcuWatCggc6ePasxY8Zo3rx5Wrx4sSRp7NixatGihYKDgzVz5sxr9vWnbdu2KSIiQpJUunRpzZgxQ2XLls12PZYsWaKoqChduXJFHh4emjFjhvbt26cDBw4oNDRUb775Zp6PhgAAAAAAZIM5FvJNoRuxEBoaKl9fX40ZM0ZHjhzR8uXLtXHjRlWqVEnR0dE6c+aMXnvtNX344YeKiYmRw+HQV199pdmzZ6tatWrasGGDwsPDNWvWLEnShQsXNHjwYEVFRcnd/dp1lOPHj1+zr796++23NXHiREVGRqp169b68ccfs12Hy5cv64svvtDixYv16aefqn379lq6dKkefPBBNWjQQGFhYRQVAAAAAAAuodCNWPhT9erV9eKLL2rVqlU6evSo9uzZo2rVqmn37t1q0qSJKlasKEmZowhmzZql6dOnS/pjXoQVK1ZkttW4ceNc9fVXHTp00LBhw9SxY0d16NBB9913X7btlShRQjNmzFBMTIyOHTumf//736pXr16utgMAAAAAAIVZoRux8KcDBw5o0KBBcjqd6tSpkzp27CjLsuTu7i6bzZa53Pnz53X+/Pmrnv/111/ldDolSV5eXpIkm80my/q/4S/p6ek59vVXAwYM0OLFi1WtWjVFRETonXfeyTb3U6dOqU+fPrp06ZLatWunoKCgq9oDAAAAAMAVFLrCgru7uzIyMrRjxw61aNFCffv2VY0aNbR161Y5HA41bNhQe/bs0dmzZyVJU6dO1ebNm9WsWTPFxMRI+qOoMHjw4CyFBkny8fHRiRMnlJqaqosXL2rXrl2SlG1ff/Xwww8rKSlJAwYM0IABA3K8FGL//v2qXr26BgwYoIYNG+qLL77IbM9utzN5IwAAAADcbJaz6P8UUoXuUohy5cqpcuXK2rJli1JSUtS9e3dJUoMGDRQXFyc/Pz+NHz8+c4TBPffco+DgYCUlJSk0NFQ9evSQu7u7wsPDryos1K5dW/fff7+6deumKlWqqGnTppKkrl27atiwYVf19VfPP/+8xo4dK3d3d3l7eyssLCzbdbjvvvv08ccfq2vXrrIsS82bN9fhw4clSW3bttWECRP0+uuvq0mTJnm23QAAAAAAKAiFrrDg4eGh5cuX57hM586d1blz5yzPlSpVSnPmzLlq2Z9++inL41dfffWaba5ateqaz/8Z36pVq6smdMxO8eLFtWDBgmu+NmjQIA0aNOiG2gEAAAAAoLArdIWFoiIlJUV9+vS55msjRoxQhw4dbnJGAAAAAADcfBQWcsnLy0tRUVEFnQYAAAAA4EY4mVA/vxS6yRsBAAAAAEDRQWEBAAAAAADkGpdCFAEptoIdsuMm2/UXysEdaWb5l3aa3Z7zy9vM8k+X+fYvX/yKUXybK2a3lvH1uWwUPye5jFF8uF+CUfypuOsvk5MjqzKM4jOWjzSKb7h7plH8ykavGMWXNjsE9LvdLH67zWz/u1clzBKQVNbwLr+XDMvwxQxPI3ekme3DlYubvQcn0soYxQ/wP2kUX6zFHUbxn89IMYo3VcZpdhC2sryM4v3dzbafZ7pRuCTJ3TI7CE/bzI6BDmlm70G8u9mJMMPwPOynNLMG5GEUfdnwu6jpfzKHO8ze/x/dahrFnzZ8/3pllDaKP+NuFi9JZ8Tt7pG/KCwAAAAAAFyexRwL+YZLIQAAAAAAQK5RWAAAAAAAALlGYQEAAAAAAOQacywAAAAAAFwfcyzkG5cfsRAbG6t+/frd9H5nzZqluXPn3vR+AQAAAAC4mVy+sHCzXbp0SePGjdOCBQsKOhUAAAAAAPLdLXEpxIULFzRo0CDFx8erUaNGmjBhgr7//nvNmTNHGRkZqlq1qiZPniwfH59s2/j55581duxYORwONWvWTF9//bU2bdqksWPH6uLFizp+/LhGjx6txMRE1ahRQwMHDswSv337ds2cOVMpKSlKTEzUSy+9pI4dO+b3qgMAAAAAJMnpLOgMXNYtUViIi4vTm2++qerVq2vkyJGaP3++Nm3apI8++kilS5fW8uXLNX36dE2ZMiXbNsaOHatnn31W999/vxYuXCiHw5H5WpkyZTRv3rwsy//vZRBLlixRWFiY7rzzTm3btk1Tp06lsAAAAAAAKPJuicJCs2bNVKNGDUlS9+7dNXbsWNlsNvXv31+S5HQ6Vbp06WzjL168qP/+97+6//77JUm9evXSRx99lPl6o0aNrptDRESEvvzyS3322Wfau3evkpKSDNYIAAAAAIDC4ZYoLLi7/99qWtYfM4E2adIkc5RBampqjn/o2+32zLhr8fLyum4Ojz76qPz9/eXv769WrVpp1KhRN5o+AAAAAACF1i0xeeOuXbt08uRJOZ1OrV27ViEhIdqzZ4+OHj0qSXr77bcVHh6ebXzJkiV1++2366uvvpIkrVu37m/1f/HiRR07dkzPPvus2rVrp82bN2e5lAIAAAAAkM+cVtH/KaRuiRELtWrV0rhx43T27Fm1bNlSzzzzjO6++24999xzcjqd8vPzU0RERI5thIeHa9y4cZo1a5bq1KlzQ6MU/lSmTBk99NBD6tatm9zd3dWyZUulpKQoOTlZ3t7epqsHAAAAAECBcfnCgr+/vz7++OOrng8ICFBAQMANt7NhwwbNnTtXvr6++vzzzzMvnZg2bdo1lx8+fHiWxy+99JJeeumlzMcTJ0684b4BAAAAACisXL6w8He88MIL+uWXX656PiAgQLfffrueeOIJubu7q1SpUjneQQIAAAAAgFsFhYW/mDFjRo6vBwcH36RMAAAAAAB5qhDPUVDU3RKTNwIAAAAAgPxBYQEAAAAAAOQahQUAAAAAAJBrzLFQBPg4bUbxqWbhcpqF66SHWQK/W2a7aTGZXUtVPA8uxdqfUtoo3nQbWpdvM4q3uWUYxU85U94ovpbd0yj+vrRko/i6bS8Yxa9s9IpRfO99rxrFf3CvWf/uhsdAG6uEUbzhKVCSdMFuFm9ahb9iGP9TMbPz4AXDc1Cy4fZ7e3sVo/j07alG8aU9zd7BEoYfhJcNd6AzNrMEfrXMzoENVNwoXpIybGY7UUXD89Bxs48RJRq+h8UM8//B48Zvc34t29JPGcX3tFcyijf1vr2YUbybPd0ovq7Dwyh+j6fDKP6izPKXpMoy24auwrKYYyG/MGIBAAAAAADkGoUFAAAAAACQaxQWAAAAAABArjHHAgAAAADA9TmZYyG/MGIBAAAAAADkWqEsLFy6dElDhw4t6DQy1alTJ0/bGzx4sM6cOZOnbQIAAAAAUBAK5aUQCQkJOnjwYEGnkW/ee++9gk4BAAAAAIA8USgLC2FhYYqPj9fQoUNVq1Ytbdu2TQkJCfL19dXMmTNVvnx5rVu3Tu+8845sNpsaNmyoyZMnKykpSePHj9eRI0fk6empsWPHqlWrVmrZsqUaNGigs2fPasyYMZo3b54WL14sSRo7dqxatGih4OBgzZw585p9/Wnbtm2KiIiQJJUuXVozZsxQ2bJls12PNm3aqFOnTtq1a5fsdrtmzZql22+/XQEBAfroo49UtWrV/N2QAAAAAIA/MMdCvimUl0KEhobK19dXY8aM0ZEjR7R8+XJt3LhRlSpVUnR0tM6cOaPXXntNH374oWJiYuRwOPTVV19p9uzZqlatmjZs2KDw8HDNmjVLknThwgUNHjxYUVFRcne/di3l+PHj1+zrr95++21NnDhRkZGRat26tX788ccc1+Ps2bNq1aqV1q5dq+bNm2vp0qV5sn0AAAAAACgsCuWIhT9Vr15dL774olatWqWjR49qz549qlatmnbv3q0mTZqoYsWKkpQ5imDWrFmaPn26pD/mRVixYkVmW40bN85VX3/VoUMHDRs2TB07dlSHDh103333XXcd2rZtK0mqXbu2du7ceeMrDwAAAABAEVAoRyz86cCBAxo0aJCcTqc6deqkjh07yrIsubu7y2azZS53/vx5nT9//qrnf/31VzmdTkmSl5eXJMlms8my/m8ITHp6eo59/dWAAQO0ePFiVatWTREREXrnnXeuuw7FihW7Zr8AAAAAgJvHclpF/qewKpSFBXd3d2VkZGjHjh1q0aKF+vbtqxo1amjr1q1yOBxq2LCh9uzZo7Nnz0qSpk6dqs2bN6tZs2aKiYmR9EdRYfDgwVkKDZLk4+OjEydOKDU1VRcvXtSuXbskKdu+/urhhx9WUlKSBgwYoAEDBlz3UggAAAAAAFxdobwUoly5cqpcubK2bNmilJQUde/eXZLUoEEDxcXFyc/PT+PHj88cYXDPPfcoODhYSUlJCg0NVY8ePeTu7q7w8PCrCgu1a9fW/fffr27duqlKlSpq2rSpJKlr164aNmzYVX391fPPP6+xY8fK3d1d3t7eCgsLuwlbAwAAAACAwstmMT6/0Hv79seN4lNt118mJ06zcONhMcUM99DTdrMG3PPgCKmdbhZ/0t3sTTRdhRNuGUbxaYZ7US2np1H8fRnJRvF1214wio/5dxWj+N77XjWK/+DeV4ziDXdfY07Dc5gkXTFsw/Q8ZngaMv4vgG+GWQLn7GYbMNHNrH/TfbC0ZZZ/CcMPwnN2s/gkm1kCv1pm58AGKm4UL0m+DrP34ILhNjR9DxMNTwKm32VMv4uscp4yiu9pr2SWgKFf3dKM4t1ktv/VdXgYxR+zO66/UA4u5sEncWUVM4p/9ZhrTEKfMLBjQadgrPSCLwo6hWsqlCMWioqUlBT16dPnmq+NGDFCHTp0uMkZAQAAAACuqRDPUVDUUVgw4OXlpaioqIJOAwAAAACAAlMoJ28EAAAAAABFA4UFAAAAAACQa1wKUQT4OMyuBYo3nPgv2Vaw1yKVM5zwqZbhzG93GU56JUmVKiYaxcecrWgUbzZlkGQZTv9Y0zKbfNHUDru3Wfx3ZvGlDScONJ18cdBus8kfRzZ7ySj+0VSzyT8/9/QyipekRJvZUVDGMps5zma4D9xmOPlgwF3/NYpf9WtVo3hvw/xNJxGOdzNr4QdbilG8l81s/7nTMpt0ra2zhFF8h+K/G8VLUtiV24zi2zjMzsM1083OQ5+ZpS8fme0DPqbnAHez7xHJht8DPAwnT3wg1WzyxAYlzCZhjk0vaxQ/tOw5o/iY835G8ZLUzGH+fdYlmH6gIFuMWAAAAAAAALlGYQEAAAAAAOQahQUAAAAAAJBrzLEAAAAAAHB5lrNg545zZYxYAAAAAAAAuUZhAQAAAAAA5NotUViIi4tTQEDANV8bPHiwzpw5oxMnTmjcuHF52u/YsWMVGRmZp20CAAAAAFCY3PJzLLz33nuSpNjYWJ04caKAswEAAAAA5AvmWMg3LjliYf78+QoKClKPHj0UHh4uy7KUmpqqZ599Vj169NCwYcOUkJAgSQoICFBcXJzCwsJ04MABTZo0Kdt2L1++rKeeekrBwcEKDg7W5s2bJUnbt29X3759FRQUpA4dOuiLL764Knbt2rUKCgpSz549NW7cOKWmpubPygMAAAAAcBO5XGHh66+/1oEDB7R69WqtXbtWZ86c0bp16/T777+rX79+io6O1u2336633norS1xoaKgaNGigCRMmZNv2pk2bVKVKFUVGRmrKlCnauXOnJGnJkiUKCwvTJ598orCwMM2ePTtL3OHDh7Vy5UotX75cUVFRKleunD744IO8X3kAAAAAAG4yl7sUYtu2bdq3b5+Cg4MlSSkpKbIsSzVr1lSzZs0kST179tTYsWP/dtv33nuv3njjDZ05c0bt27fX0KFDJUkRERH68ssv9dlnn2nv3r1KSkrKEhcbG6vjx4+rd+/ekqT09HTdfffdJqsJAAAAAPg7nAWdgOtyucKCw+FQSEiIBg4cKElKTEzU6dOn9cILL2QuY1mW3N3//qrXqFFDGzZs0L///W99+eWX+vDDD7V+/Xo9+uij8vf3l7+/v1q1aqVRo0ZdlVOXLl0UGhoqSUpKSpLD4TBYSwAAAAAACgeXuxSiZcuWioqKUlJSkjIyMjR06FAdOHBAv/76q3788UdJ0po1a9S6desscXa7XRkZGTm2vWTJEs2dO1ddunTRhAkTdP78eSUmJurYsWN69tln1a5dO23evPmqooG/v782bdqk33//XZZlaeLEiVq0aFHerjgAAAAAAAXA5UYsBAQE6NChQ+rdu7ccDofatm2r5s2bq1q1anrrrbf022+/6a677tLIkSOzxN155526dOmSRo8erYiIiGu2/eCDD+r5559X9+7dZbfbNXr0aJUpU0YPPfSQunXrJnd3d7Vs2VIpKSlKTk7OjKtbt66GDRumkJAQOZ1O1atXT0899VS+bgcAAAAAAG4Gm2VZ3HOjkPu48mNG8fHuNqP4y7aC3UVuzzDL39RdVvL1F7qOShUTjeJjzlY0ije98OawPd0ovqrlYRRvN9wFPQv4LFfa8Hq+ZMOxZYN2v2oUP7LZS0bxj6bmPBrsej739DKKl6REm9lRUMayG8WbnsVus8xa6HdHnFH8ql+rGsWnG24A00tiz7mZtRBnpRjFe9nM9p87rWJG8aUMN2CH4r+bNSAp7MptRvFtHN5G8TXTzc5Dn5mlLx/Dc4iP0+wgOudm9kFolr3kYXgWvDPNLP8GJS4YxccmlzWKv7/8GaP4mPN+RvGS1Mxh9n225clI4xwKgwsPty/oFIz5rNpa0Clck8uNWDD122+/afjw4dd8LSwsTA0bNrzJGQEAAAAAUHhRWPgf1apVU1RUVEGnAQAAAABAkeBykzcCAAAAAICbhxELAAAAAADXZzppD7LF5I1FwKgafY3ib3eaTblTzHAPMZ370XRYzdd288kXTTWU2aRThnMuGU+61NGeYBS/zCppFF/ZYbYXXDDcgGUNJ80ynbjO3fD9/8lw8s2ZO18zin+lWahRvK/TfHCdh+E2NJ1A03TyPNPvQaUMZ3C1y2wDmu7Dxz3MDqJUww8iN8OJ53wM38DLhueQ3w0nr7z/ivk38d1eZv/LKmu4D6cYHsOmkwgPCr/TKP61l34xir/D8IPIdPuZfQpJb6f+bBQf6n6XUXy84b9ia6aZHUPfeZn/uXbUcDLyVcdd41LxC73aF3QKxnzWbC3oFK6JSyEAAAAAAECuUVgAAAAAAAC5xhwLAAAAAACXZzmZBSC/MGIBAAAAAADkGoUFAAAAAACQa7d0YaFfv36KjY3NVWydOnXyOBsAAAAAAIoe5lgAAAAAALg+87vnIhsuN2Lh9OnTevzxxxUcHKyHHnpIe/bs0YYNG9S7d2/16NFDnTt31g8//HBV3Pz58xUUFKQePXooPDxclnX9iT1efvll9ezZUwMGDNDJkyclScePH9fAgQMVFBSkvn376scff9SFCxd03333KT39j7v4/vzzz+rRo0ferjgAAAAAAAXA5QoLq1evVvv27RUZGakRI0Zox44dWr58uebNm6fo6Gg9+eSTmj9/fpaYr7/+WgcOHNDq1au1du1anTlzRtHR0dftq3nz5oqKitI//vEPTZkyRZL04osvavTo0frkk080efJkjRw5Uj4+PmrUqJG++eYbSVJMTAyFBQAAAACAS3C5SyFatWql4cOH6+DBg7r//vvVv39/9e3bV1u2bNHRo0e1fft2ubllrads27ZN+/btU3BwsCQpJSVFlStXzrEfLy+vzOJAz549NWvWLCUlJenAgQN66aWXMpdLTk7WhQsX1KNHD8XExOiBBx7Qhg0btHjx4jxecwAAAAAAbj6XKyw0bdpUMTEx2rp1q9avX69Vq1bp7Nmz6tGjh5o3b646depo6dKlWWIcDodCQkI0cOBASVJiYqLsdnuO/fy1OGFZltzd3eV0OuXp6amoqKjM106fPq0yZcqoQ4cOmjZtmnbs2KFKlSrJz88vD9caAAAAAJATizkW8o3LXQoRHh6u6OhoBQUF6ZVXXtH27dtls9n09NNPy9/fX5s2bZLD4cgS07JlS0VFRSkpKUkZGRkaOnSoNm7cmGM/ycnJ2rx5syRpzZo1at26tUqWLKkaNWpkFha+/fZbPfbYY5IkT09PtW3bVlOnTuUyCAAAAACAy3C5EQv9+vXTCy+8oMjISNntdr377ruKjo5Wly5dZLPZ1KZNG+3atStLTEBAgA4dOqTevXvL4XCobdu2CgoKyrGfUqVK6YsvvtDs2bPl5+en1157TZIUERGhiRMn6v3335eHh4dmzpwpm80m6Y9LJqKjo9WpU6f8WXkAAAAAAG4ylyssVKpUScuWLcvyXPv27bM8Dg0NlaQs8xwMGTJEQ4YMueF+duzYcc3n77zzzmznT2jevLn27dt3w30AAAAAAPIIl0LkG5crLOSVlJQU9enT55qvjRgxQh06dLjJGQEAAAAAUPhQWMiGl5dXlkkYAQAAAADA1Vxu8kYAAAAAAHDzMGIBAAAAAODyuN1k/qGwUAQEpaQbxW/3tBvFH7E7rr9QDpINZ0nxs8x2007p3kbxiWabT5JUO83sPZxTLMkovpjNcHCSo7RReIJbmlF8it0s/7KW2ZuYajMK13bbZaP4NlYJo/hHUzOM4l9pFmoU/+rOMKP4GU1fMYqXpO8N34PqttuM4v9rt4zivWS2EwY5Uo3iv3E3O4+edDPbBw86Eozi73IzO4elyOxz8FPn70bx7TwqGsUXs8z2n7wY3nrMZrYPlrYVM4qvZ3genOeVbBT/n5cOGsWXNfzKftrdbB84ZzM7Bnwss70o5La7jOLTzN5++RrGl5PZ96ASltn+L0ntnCWN2wBywqUQAAAAAAAg1ygsAAAAAACAXONSCAAAAACA62OOhXzDiAUAAAAAAJBrFBYAAAAAAHAx69atU9euXfXPf/5TS5cuzXa5rVu3KiAgwKgvLoUAAAAAAMCFnDlzRjNnzlRkZKQ8PT31yCOPyN/fX7Vq1cqy3Llz5/T6668b98eIBQAAAACAy7OcRf8nMTFRcXFxV/0kJiZmWdfvvvtOLVu2VJkyZeTt7a1OnTrps88+u2qbhIaGatiwYcbblhELuZSRkaGJEyfq8OHDOnfunOrUqaM33nhDK1eu1JIlS1SyZEndcccdqlatmoYPH66vv/5ac+bMUUZGhqpWrarJkyfLx8enoFcDAAAAAFBELFq0SG+++eZVzw8bNkzDhw/PfBwfH68KFSpkPvb19dW+ffuyxHz00Ue6++671bhxY+O8KCzk0u7du+Xh4aEVK1bI6XQqJCRE77//vtatW6fIyEh5eHioX79+qlatms6fP68ZM2boo48+UunSpbV8+XJNnz5dU6ZMKejVAAAAAAAUESEhIQoKCrrq+VKlSmV57HQ6ZbPZMh9blpXl8c8//6zPP/9cCxcu1OnTp43zorCQS82bN1eZMmW0dOlSHTlyRMeOHZO/v78eeOABlShRQpLUrVs3JSYmau/evTp16pT69+8v6Y83uXTp0gWZPgAAAACgiClVqtRVRYRrqVixonbu3Jn5+OzZs/L19c18/Nlnn+ns2bPq1auX0tPTFR8fr0cffVTLli3LVV4UFnJp8+bNmjNnjvr376/g4GBduHBBJUuWvOraFklyOBxq0qSJ5s2bJ0lKTU1VUlLSzU4ZAAAAAG5ZlrOgM7h5Wrdurblz5+r8+fO67bbb9Pnnn2vy5MmZr48YMUIjRoyQJMXFxal///65LipITN6Ya9u2bVOXLl3Uq1cvlSpVSrGxsZKkr776SpcvX1ZaWpo+//xz2Ww2NW7cWHv27NHRo0clSW+//bbCw8MLMn0AAAAAgIvy8/PTyJEj1b9/fz344IMKDAxUo0aNNHjwYO3fvz/P+2PEQi49/PDDGjVqlGJiYuTh4aEmTZro/Pnz6t+/v/r06SNvb2/5+PioWLFiqlChgqZOnarnnntOTqdTfn5+ioiIKOhVAAAAAAC4qO7du6t79+5ZnnvvvfeuWq5q1arasmWLUV8UFnKpTp06WrduXZbnjh49qq+++koxMTGSpGeeeUZ33nmnJCkgIEABAQE3PU8AAAAAwK11KcTNRmEhD1WpUkX79+9XYGCgbDab2rRpowceeKCg0wIAAAAAIN9QWMhDnp6emjFjRkGnAQAAAADATcPkjQAAAAAAINcYsQAAAAAAcH2WraAzcFmMWAAAAAAAALlmsyzLKugkkLO3b3/cKD7ZsDBXzHAPMa0Lphs2UDHDbAWcxmsg/eZhFl/WYRZ/2bCEaNr/RbtZvGH3SrWZ7QP2PNgHTNxmeAxeMFz/0obV/VTDzffCrlfNGpC0rkGoUXysl9k2rO4wOwhMz4MJxseAGR+n2QqYnsN8M8zif/Ewm0a8XprZCsQbji81PQbz4r9QyTLbB8sb7kOmx1CtNLNPou+9zBLwNjwPexnGexp+DmUYbn/T7wGm57AdtiSj+EYqbhTvngd/rZU2vBvC4Lgl5kkUAmfaty/oFIz5bd1a0ClcEyMWAAAAAABArjHHAgAAAADA5VmGIzeQPUYsAAAAAACAXKOwAAAAAAAAco3CAgAAAAAAyLUiXViIjY1Vv379bnj5OXPmaOfOnbnqy7IsvfXWW3rwwQfVqVMnrV27NvO1Dz/8UJ07d1anTp30+eef56p9AAAAAED+sZy2Iv9TWN1Skzfu2LFD/v7+uYqNjo7Wd999p5UrVyohIUE9e/ZUQECAjh07pujoaEVFReny5cvq06ePWrRooTJlyuRt8gAAAAAAFEJFvrBw4cIFDRo0SPHx8WrUqJEmTJig77//XnPmzFFGRoaqVq2qyZMn66uvvtKBAwcUGhqqN998UwkJCZo5c6ZSUlKUmJiol156SR07dsy2nw0bNuiJJ56Qp6enKlSooGXLlsnLy0tff/21/vGPf6hYsWIqVqyYWrRooa1bt6pSpUqaN2+ePDw8FBcXp4CAAHl7e+uLL76QJM2fP1/ly5e/WZsJAAAAAIB8UaQvhZCkuLg4vfzyy4qOjlZSUpLmz5+vGTNm6IMPPtDatWvVpk0bTZ8+XQ8++KAaNGigsLAw1alTR0uWLFFYWJg++eQThYWFafbs2Tn2c/z4cf3666/q37+/goKC9OOPP8rT01Px8fHy9fXNXK5ChQo6ffq0JGnv3r2aNGmS1qxZo6VLl6ps2bKKjIxUnTp1FBMTk6/bBQAAAACAm6HIj1ho1qyZatSoIUnq3r27xo4dK5vNpv79+0uSnE6nSpcufVVcRESEvvzyS3322Wfau3evkpKScuzH4XDop59+0gcffKBz586pb9++uvvuu+V0Xn0zVDe3P+o1d911lypVqiRJ8vHxUatWrSRJlStXVmJiYq7XGQAAAADw91hX/+mGPFLkCwvu7v+3CpZlSZKaNGmiefPmSZJSU1OvWTR49NFH5e/vL39/f7Vq1UqjRo3KsZ/y5curc+fO8vDwUKVKldS4cWP9+OOPqlixos6ePZu53NmzZ1WzZk1JkoeHR5Y27HZ77lYSAAAAAIBCqshfCrFr1y6dPHlSTqdTa9euVUhIiPbs2aOjR49Kkt5++22Fh4dL+uMPe4fDoYsXL+rYsWN69tln1a5dO23evFkOhyPHfh544AFt2LBBlmXpwoUL2rdvn+rVq6d27drp888/15UrV3T+/Hl9//33mSMTAAAAAABwdUV+xEKtWrU0btw4nT17Vi1bttQzzzyju+++W88995ycTqf8/PwUEREhSWrbtq0mTJig119/XQ899JC6desmd3d3tWzZUikpKUpOTpa3t/c1+xkwYIAiIiIUGBgoh8OhIUOGZI5M6NGjhx566CFlZGRoxIgR8vPz07Fjx27WJgAAAAAAoMDYrD+vH0Ch9fbtjxvFJxve7rSY4R5ierfVdMMGKmaYrYDTeA2k3zyuv0xOyuY8oOa6LhuOTTLt/6LhVUCG3SvVZrYP2PNgHzBxm+ExeMFw/UtbZuufarj5Xtj1qlkDktY1CDWKj/Uy24bVHWYHgel5MMH4GDDjY3jfbdNzmG+GWfwvHmYX5dZLM1uBeMN/A5keg3kxvDVZZvtgecN9yPQYqpVm9kn0vZdZAt6G52Evw3hPw8+hDMPtb/o9wPQctsOW81xs19NIxY3i3fPgr7XShnMLDI5bYp5EIfDfVgEFnYKxKtu2FHQK11TkRyzkpYULF+qTTz656nlfX1+99957BZARAAAAAACFG4WFvxgwYIAGDBhQ0GkAAAAAAFBkUFgAAAAAALg8bjeZf4r8XSEAAAAAAEDBYcRCEbDfnmYUX83yNIq/Yjjpl2n1ynTCohSbWXxSHpTfkmxm5dFaDrN1KGVYnTXdht4FXB22uZnln2Y46ZTp5JcXDGedSrSZJVDeafZR8b3tslG86cSLktT9QJhR/B1NnzOKj3EraRTvZjiB6EXDfaCK4T5gehqtmWb2OZRkeA64PcNsDXo8dNEofnlkGaP4YobnsJN285O46TZMMDwP/m54DDzz2WNG8ce7LzeKN527z/RzzHTiv3s9E4zi/51R2ig+wfAkFO9MNoq/ZL/NKP52p/mX0ZSCnYcatwBGLAAAAAAAgFxjxAIAAAAAwOVZhreuRfYYsQAAAAAAAHKNwgIAAAAAAMg1CgsAAAAAACDXmGMBAAAAAODyLNNbrCBbjFj4i2+//VYhISHXXc7hcGjChAkKDAxUt27dtHDhwiyvX758WYGBgYqLi7tm/Ny5czV37ty8SBkAAAAAgAJFYUGS0+nUhx9+qOeff15O5/Vv1BsZGamLFy8qOjpaq1at0sqVK/Wf//xHkrR371717dtXx44dy+esAQAAAAAoeEXiUojY2FhFRETI6XSqdu3acnNz07Fjx3T+/Hk988wz2rZtm/bu3au6detq5syZcjgcmjhxog4fPqxz586pTp06euONN/Ttt98qPDxc0dHROn36tPr166dVq1YpMTFRv/76qyZPnqzFixdfN5/atWurcePGcnNzk7e3t26//XadOnVK9evX18qVKzVhwgSNGTMmS8z777+vlStXysfHR6VKlVKjRo3ya3MBAAAAAHDTFInCgiQdO3ZMX375pRYuXKitW7dqxYoV+uGHHxQSEqJ169apRo0a6tq1q3766SddunRJHh4eWrFihZxOp0JCQvTVV1+pU6dO+vzzzzVv3jzFxsbqxRdflJ+fn/z8/DRlyhTFxsbeUC733HNP5u8//PCD9u3bp/DwcEnSlClTrlp+//79WrNmjT755BPZbDb16dOHwgIAAAAA3ESW01bQKbisIlNYqFmzpkqWLClJuu++++Tu7q7KlSurQoUKqlWrliTJz89PCQkJ8vf3V5kyZbR06VIdOXJEx44dU3JysiRp/Pjx6tq1q5o0aaJu3boZ5bRjxw6NHDlS06dPV+nSpbNdbvv27br//vtVvHhxSVLnzp1v6JILAAAAAAAKuyIzx4KXl1fm7x4eHpm/u7tfXRvZvHmzRo0aJS8vLwUHB6t58+ay/v8UoOfOnZPdbteRI0eUmpqa63w+//xzPfvss5oxY4buu+++HJe12WyZ/WeXMwAAAAAARVGRKSz8Hdu2bVOXLl3Uq1cvlSpVSrGxsXI4HHI4HHrppZc0fvx4tWjRQrNnz85V+/v27dPEiRP14Ycfyt/f/7rLt2rVSl9++aUuXbqk1NRUbdq0KVf9AgAAAABQ2Ljkv84ffvhhjRo1SjExMfLw8FCTJk0UFxenDz/8UOXKldM///lPtW7dWoGBgfrnP/+ZZc6EG/HOO+/I4XDoxRdfzHxuxIgR6tChwzWXr1evnkJCQvTQQw+pVKlSqly5ssnqAQAAAAD+JuZYyD9ForDg7++fOTJg+PDhmc9XrVpVW7ZsyXz81zs6rFu3Lsc2S5Qooa1bt2bbT07eeeed6y7z17wk6bHHHtNjjz123TgAAAAAAIqSIlFYKAjr16/Xu+++e83XoqKibnI2AAAAAAAUThQWstG1a1d17dq1oNMAAAAAAKBQo7AAAAAAAHB5f7lRH/KYS94VAgAAAAAA3ByMWCgCnDIrrZnOfVrQ1ad0wxUwnfw1LwqbnpZZEuftRXsG28sFvBOZvoemW/+S4fqbbr4ylt0oPtkwgeq224ziY73Mj8I7mj5nFF9/1yyj+JimLxvFm+6DHoYtOAwTSDILl9PdMH/D/k23/8VtV4zik93KGMU7jaLz5nMwzXAj2g2TKGF4Jo17dK5RfLJbBaN4N8P1N/sUkE64myVw2lnaKL6UUbSUbrgX17SbZmDmSh58DfTgP/XIZxQWAAAAAAAuj9tN5p+C/mc0AAAAAAAowigsAAAAAACAXKOwAAAAAAAAco05FgAAAAAALs8ynFAd2SvQEQuxsbHq16/fVc/37NnzmssHBAQoLi7ub/dzrbjIyEiNHTv2hnP6q/j4eA0aNEg9e/ZUUFCQtm3bluX1n376Sd26dcs2vl+/foqNjf0bawAAAAAAQOFUKEcsREVFFXQKOQoPD1dAQIAee+wxHTlyRP369dPXX38tu92utWvXasaMGfLw8CjoNAEAAAAAyHcFXli4cOGCBg0apPj4eDVq1EgTJkxQw4YN9dNPP+nixYsaPXq0Tp8+rTvvvFOpqamSpMuXL2vcuHE6c+aM4uPj1apVK02ZMkVnzpzRqFGjlJycLDc3N4WGhuqee+7J7Ovo0aP617/+pfDwcEnS8ePH1a9fP508eVKtWrVSWFjYDeX8j3/8Qy1btpQkVa9eXampqUpOTpYkbd68WW+88YZefPHFzOXT0tI0fvx4HThwQFWqVNGFCxfyYtMBAAAAAFDgCrywEBcXpzfffFPVq1fXyJEj9fHHH2e+NmfOHN1999167733tGPHDm3YsEGStHXrVtWrV09z5sxRWlqaunXrpv/85z/aunWr2rdvryeffFJff/21du3alVlYOH36tCZMmKCpU6fqnnvu0ZEjR3Tq1CmtXbtW3t7e6tixow4fPnxDOXfq1Cnz9w8++ED16tVTyZIlJUlz58696rKLxYsXS5I2bNigY8eOqUePHrneXgAAAACAv89yFnQGrqvACwvNmjVTjRo1JEndu3dXZGRk5mvbt2/XjBkzJEnNmzfX7bffLkkKDAzUvn37tHDhQh05ckQXL15UcnKyWrVqpeHDh+vgwYO6//779fjjj2e29eyzz6phw4Zq1qxZlr7LlCkjSapWrdrfHkmwcOFCrVixQkuWLMlxue3bt6tPnz6SpBo1aujee+/9W/0AAAAAAFBYFfjtJt3d/6+2YVlWlsc2m02WZWU+ttvtkv4YARAeHq6yZcvq8ccf15133inLstS0aVPFxMSoTZs2Wr9+vZ5++unM2PHjx+vEiRPaunXrNfv+376uJzw8XKtWrdLSpUtVqVKlHJf937b/2i8AAAAAAEVZgRcWdu3apZMnT8rpdGrt2rVq3bp15mutWrXKnMhx3759+u233yRJ3377rfr06aMePXooNTVVhw4dktPpVHh4uKKjoxUUFKRXXnlFP/74Y2ZbjRo10sSJE/Xqq69mzoeQWwsXLlRsbKw+/vhjVaxY8brLt2rVSuvWrZPT6dR///tf/fDDD0b9AwAAAABQWBT4v85r1aqlcePG6ezZs2rZsqUeeughvfLKK5KkESNGaOzYserWrZvuuOOOzEshQkJCNHHiRM2fP18lSpTQvffeq7i4OPXr108vvPCCIiMjZbfb9frrr2fpq3nz5vL399esWbNUt27dXOVrWZbeeustlShRIsttKefPny8/P79rxjz66KM6fPiwunTpoipVquiuu+7KVd8AAAAAgNxxWraCTsFl2ay/M/4fBeJfNR42iq9pFTOKd6hgdxEPmZ0AyjnM+k/Og/PPBTezbejnKNonwcsFPDbKdA/OMNz87oYJOA37TzHcAl6Gx+A5m9lBmBd7f18rySi+/q5ZRvHhTV82ircbboULhu9BOctuFG83PAZuM4w3/Bgw3gd7VjxlFB95JudLLq/HdK6yc27ms51VdJh9EKQZvgnJNrOdqG/xc0bxkUkVjOINv0bI7Ag2336m3+VKGe6C8YYb8IQtzSjeV2a3oS/vNP8i5WG4Dw07kfOcckXFz/U6F3QKxu46+FlBp3BNBT5iobB6/fXX9d133131fIMGDTRlypQCyAgAAAAAgMKHwkI2XnzxxYJOAQAAAACAQo/CAgAAAADA5VnMsZBvCvyuEAAAAAAAoOiisAAAAAAAAHKNSyGKgGqWp1G8j+F02P3fvtesgVJljcKXPb7FKP5TtwSj+LvcShjFS1K64az85W1mh6rpfN6H7OlG8b5WwZ5q0gxnsy5nOBtzMcOZmK+YhctmOOrPdDbu/xreEqCOw3z/iXEraRZveFeHMbsmG8Wf7jLYKH5pvNldBUz34VKGn0MXDae0N72rRJLhMRQbV9EoPtXsa4DxZ5BvHsxIb3p3HU/D97CM4e11liWVN4qvnW62Aj+Z3VRApQ2Hfz//6u1G8YtC44ziTxp+jtyRbrb+I3uZfRKvjDS7Q9sRd/M7s3ABwB8s01ttIVuMWAAAAAAAALlGYQEAAAAAAOQahQUAAAAAAJBrzLEAAAAAAHB5luF8LcgeIxYAAAAAAECuUVj4HydOnNC4ceOuu1xkZKS6du2q7t27KywsTBkZGTfU/qxZszR37lzTNAEAAAAAKBQoLPyPkydP6sSJEzkuc+TIEc2aNUsLFy7UunXrlJGRocWLF+cYc+nSJY0bN04LFizIy3QBAAAAAChQt9QcC7GxsYqIiJDT6VSVKlXk7e2tw4cPy+FwaPDgwQoMDFRYWJji4uI0adIkTZgw4Zrt/PTTT7rnnnvk6+srSXrggQc0f/58DRw4MNu+N2/erBo1auS4DAAAAAAgf1hOW0Gn4LJuuRELx44d06JFi1S9enXVr19fkZGRWrp0qebNm6cTJ04oNDRUDRo0yLaoIEl169bV3r17derUKTkcDn322Wc6d+5cjv0++OCDeuqpp2S32/N6lQAAAAAAKDC31IgFSapZs6ZKliyp7777TikpKVqzZo0kKTk5WYcPH1bx4sVvqI0XXnhBzzzzjLy8vNS5c2ft378/v1MHAAAAAKDQueUKC15eXpIkp9OpiIgI1a9fX/+PvTuPq7LM/z/+PpzDIuKuaGouWZmpmaWBZkyipiJI4pqFOJUz5Zq/0jTJLSzHZcrM1JpGHVxLEVTcMs2pNJfUzFJzT1NxFwHZzjm/P/rGRAoiF8j2evbgEee+7891Xfd+/HDd1y1JFy5cULly5bRr165blpGSkqKHHnpI0dHRkqQ1a9bo7rvvzrc2AwAAAABQWJW4RyF+5+vrq0WLFkmSzp07p86dO+vMmTOyWq23fMNDUlKS+vbtq4SEBKWmpmr+/PkKCAi4E80GAAAAAOSCw2kp8j+FVYlNLAwcOFDJyckKDAxUWFiYhg0bplq1aqlevXq6du2ahg0blmVshQoVNGDAAPXs2VNBQUHy9fVVUFDQHWw9AAAAAACFQ4l6FMLHx0c+Pj6SJC8vL02ZMuWGZSpUqKBVq1bdsqzu3bure/fut92GQYMG3XYMAAAAAACFVYlKLNyOX375JcskQEREhBo3bnzD9NDQUMXHx98wvVevXnrmmWfyvI0AAAAAABQ0EgtZqFWrlmJiYm4rJjIyMp9aAwAAAAAw4SzEYxQUdSV2jAUAAAAAAGCOxAIAAAAAAMg1HoUoAlxk1mUnwTB9NGfAHqP4v0bUNIr3cBiFq4LN3Sje1XD7S5K3w2pchonydrN4N6vZNqjsMIt3dRqF64Jh+03dk5r9K2xv5aC72aW6lGG3P8NTUB6G51BaHuw+0+uoaRPOduxnFF9tzcdG8ZUeHm0Ub3ofKeMwO4m9DA/CizazPWj6V5gTrmb1Ww2vge6GR7DpfViSkgw3YqJhfK0Us5U4ZzVrgOl1zMvwGDCt/1/hp4ziTa8h5Qy/R9gMt9+BZa5G8abfAj3zoPt+Ck8AIJ+RWAAAAAAAFHtOwyQTssajEAAAAAAAINdILAAAAAAAgFzjUQgAAAAAQLHn4HWT+YYeCwAAAAAAINdILAAAAAAAgFwrsYmFkydP6o033sjRsmlpaQoLC9O2bdsypm3YsEHBwcHq3Lmz+vfvr6tXr2ZbRkhIiIKDgxUcHKz27dvrwQcf1IULF4zWAQAAAACAglZix1g4ffq0Tp48ecvljh49qjfeeEM//fRTxrSEhASNHTtWy5YtU9WqVTVt2jRNnz5d4eHhWZYTFRWV8fvw4cPVpUsXVa5c2WwlAAAAAAA54mSMhXxTLBML27Zt0+TJk+VwOFSjRg15enrq0KFDstvt6tevnwIDAxUREaFTp05p3LhxGjNmTJZlLV26VC+++KLmzZuXMS0tLU1jxoxR1apVJUn169fXypUrc9S2rVu36sCBA3rnnXfMVhIAAAAAgEKg2D4Kcfz4cc2bN0+1a9dWw4YNFRUVpQULFmjWrFk6efKkwsPD1ahRo2yTCtJvvQvatm2baVqFChXUrl07SVJycrI++uijG5bJyvvvv6+hQ4fKarXmbsUAAAAAAChEimWPBUmqW7euypQpoy1btig5OVnLli2TJCUlJenQoUMqXbq0cR3Xrl3TgAED9MADD6hLly63XP7QoUO6fPmyWrdubVw3AAAAAACFQbFNLHh4eEiSHA6HJk+erIYNG0qSLly4oHLlymnXrl1G5Z87d04vvPCCfH19czwI5IYNGxQQEGBULwAAAADg9jmdBd2C4qvYPgrxO19fXy1atEjSb8mAzp0768yZM7JarUpPT89VmXa7XS+99JI6duyoUaNGyWLJ2SAge/bsUbNmzXJVJwAAAAAAhVGxTywMHDhQycnJCgwMVFhYmIYNG6ZatWqpXr16unbtmoYNG3bbZW7cuFE//fST1q1bl/EKyVGjRt0y7uTJkxkDPgIAAAAAUBwUy0chfHx85OPjI0ny8vLSlClTblimQoUKWrVqVY7LjIyMzPi9Xbt2OnDgwG23a/Xq1bcdAwAAAABAYVYsEwu345dfftGgQYNuOi8iIkKNGzfOcVmvvvqqDh8+fMN0f39/DRkyJNdtBAAAAACYcThz9gg7bl+JTyzUqlVLMTExeVLW1KlT86QcAAAAAACKimI/xgIAAAAAAMg/JBYAAAAAAECulfhHIYqCBikOo/iTrmb5o6uG6aeP3jxlFF/HYbb+Tpm9sDbZMF6SXn6jklH8vydcNIp3FPDjZF5mu1Cuhi8dfshx3Sj+qt3NKL566QSj+MvJ5Yzi/e//1Sj+859rGsV3sacYxa93LWUUL0lXLHajeFeZnUQLzt1lFF/p4dFG8X33jDeKX/KQWf1phtcgu+H23201OwaryNUo/qjT7Br0iLO0Ubyp0NfM63/7vWtG8RUcZl9G7i9zxSh+c1pZo/haTrOv3Henmd0Hd7ib3YgruJhtf6vhOWz6PcK3/Hmj+G+vVDGK79rtilH87OjyRvGSFG94HywunIyxkG/osQAAAAAAAHKNxAIAAAAAAMg1EgsAAAAAACDXGGMBAAAAAFDsORhjId/QYwEAAAAAAOQaiYUciouLU79+/bJdZvr06Zo+ffodahEAAAAAAAWPRyFyqGrVqvr4448LuhkAAAAAgFwwf4k8skJi4Sa2bdum2bNny8PDQ0eOHFH9+vU1dOhQvfDCC9q4cWO2sXv37lX37t2VlJSkHj16KCwsTJL00Ucfac2aNbLb7WrVqpWGDRsmi4VnfAAAAAAARRuJhSzs3r1ba9askbe3t3r06KGvv/46R3Hnz5/XwoUL5XA4FBISoscee0znz5/Xvn37tHTpUlksFg0bNkwrVqxQcHBwPq8FAAAAAAD5i8RCFu677z5Vq1ZNklSvXj1dvXo1R3EBAQHy9PSUJLVu3Vrbt2/X2bNntXfvXoWEhEiSkpOTVb169fxpOAAAAAAAdxCJhSy4u7tn/G6xWHKcCLDZ/rdJHQ6HbDab7Ha7wsLC9Ne//lWSFB8fL6vVmrcNBgAAAABkiddN5h/eCpHH1q1bp9TUVF29elVffvmlfH195evrq5iYGCUmJio9PV0DBgzQunXrCrqpAAAAAAAYo8dCHqtevbp69eqllJQU/f3vf1e9evVUr149HThwQD169JDdbtcTTzyhLl26FHRTAQAAAAAwRmLhJnx8fOTj45PxeeLEiZKUMUZCVgYNGpTlvP79+6t///5500AAAAAAALKxcuVKzZw5U+np6QoLC9Ozzz6baf6GDRs0ffp0OZ1O1axZU++8847KlSuXq7pILNymuXPnavny5TdM9/b21scff1wALQIAAAAA3IqzBI2xEBcXp3fffVdRUVFyc3NTr1695OPjo3vvvVeSlJCQoLFjx2rZsmWqWrWqpk2bpunTpys8PDxX9ZFYuE19+/ZV3759C7oZAAAAAIASJj4+XvHx8TdML1u2rMqWLZvxecuWLfL19VX58uUlSe3bt9fatWs1cOBASVJaWprGjBmjqlWrSpLq16+vlStX5rpdJBYAAAAAACgC5s2bpw8++OCG6QMHDsz0aP65c+dUpUqVjM/e3t7au3dvxucKFSqoXbt2kqTk5GR99NFHCg0NzXW7SCwAAAAAAFAEhIWF3fRFAH/srSBJDodDFsv/Hv1wOp2ZPv/u2rVrGjBggB544AGjFwyQWCgC9rubvRXUw2lWv2m8qZOuZutfQ+5G8Wky3wD/mXDRuAwTVw1fLOslq1H8r4ZXGqvMnoc7pFJG8WVsZvWfTC1vFJ9ktvn12ZGaRvGVDM+Br22eRvHWPDgHazjMDkK74SOZ7oarkGB4Di95aLRRfM+9443i5zcxq/+K4TlQx2l2H7gr3az+8tbSRvEOw+Mv3vAc+s/URLMGSLrXYXYQXzU8BjYnVzSKr17Aj2UfdjOLr+w024Cm1zBTB2xmJ2HFy5WN4q8Yfo/ZusTLKD4pD76MF/AuLDQcBd2APPDnRx6yUq1aNe3cuTPj8/nz5+Xt7Z1pmXPnzumFF16Qr6+v3njjDaN2GX5VAQAAAAAAhUnLli21detWXbp0SdevX9f69evl5+eXMd9ut+ull15Sx44dNWrUqJv2Zrgd9FgAAAAAAKAYqVq1qoYOHao+ffooLS1N3bp100MPPaR+/fpp8ODBOnv2rH766SfZ7XatW7dOktSoUSNNmDAhV/WRWAAAAAAAoJgJCgpSUFBQpmkff/yxJKlx48Y6cOBAntVFYgEAAAAAUOw5DcftQtYYYwEAAAAAAOQaiQUAAAAAAJBrJT6xcPr0abVv317BwcFKSEjIUUxoaKi2bduW5fxTp07J39//pvPef//9TK/9AAAAAADkP4ez6P8UViU+sbB9+3Y1atRIMTEx8vIye8dsTuzYsUN2uz3f6wEAAAAA4E4otoM3zpo1SytWrJDVatXjjz+uYcOGKTIyUosWLZLValXr1q0VGBio9957T0lJSRo9erTGjx9/07JSU1M1atQo7du3TzVq1NDly5cz5n300Udas2aN7Ha7WrVqpWHDhkmSUlJSNGTIEB07dky1atXShAkTtGnTJu3bt0/h4eH64IMPVL9+/TuyLQAAAAAAyC/FssfC5s2btXHjRi1btkzLly/XiRMnNHPmTC1cuFBLly7VihUr9OOPP8put2vw4MHy9/fPMqkgSZGRkZKkNWvWKDw8XL/88osk6b///a/27dunpUuXKjo6WnFxcVqxYoUk6eLFiwoNDdWKFSt09913a8aMGXr66afVqFEjRUREkFQAAAAAABQLxbLHwrfffqtOnTqpVKlSkqSuXbtq4MCBCgsLU5kyZSRJc+fOlST9/PPPtyxv+/bt6tmzpySpTp06atq0qSRp69at2rt3r0JCQiRJycnJql69uh599FHVrVtXzZo1kyQFBwdrxIgRebqOAAAAAICcc/C6yXxTLBMLDofjhmlOp1MWy/8OpLi4uIzEw61YLBY5nf8bKcNm+22z2e12hYWF6a9//askKT4+XlarVZcvX85Y5ve6//gZAAAAAIDiolg+CuHr66vY2FglJycrPT1dy5Yt0+uvv67NmzcrMTFR6enpevXVV7Vv374cldeiRQutXLlSDodDv/76q3bt2pVRT0xMTEaZAwYM0Lp16yRJR44c0U8//SRJWrZsmVq2bClJslqtDN4IAAAAACg2iuWf0Vu3bq39+/era9euSk9PV6tWrdSnTx+5u7urV69ecjgcateunVq2bKmoqKhblte7d28dOnRIHTt2VI0aNXT//fdLkvz9/XXgwAH16NFDdrtdTzzxhLp06aJff/1VtWrV0owZM/TLL7/o/vvv19ChQyVJTzzxhMaMGaN//OMfeuSRR/J1OwAAAAAAkN8szj/28Ueh9E7t54ziPQp4D5t2i7Eatv+s9cZHY25Hmsw3YF271Sg+3bB+0zU4b7gTSjnNnmcz23pSsuEWKGPY/rJmh6CSDB8HNH2asJLdbPv9ajNrQYrF/Bz0MNyHdsON6G64CoaHkKoYXkR67s16gOOcmN9ktFH8FcOLQLLh/rvLcPtdMGy/w7D9KYbXwCqmDZDkYXgQXzXchqbnYEIBH0PHXc1WwGp4JzDdfqZ+cTHbgC1TzA6gOMP72P2pZu3/1sP0m5CUYDE7CScdX2TchsLgi6o9C7oJxtrELSnoJtxUseyxkBurV6/W7NmzbzovJibmDrcGAAAAAICigcTC/wkICFBAQEBBNwMAAAAAgCKlWA7eCAAAAAAA7gx6LAAAAAAAij3TMYuQNRILRYDpkElphgWUMjwDq6UbDjhkOL7oGcPxbryc5h17TAetcjfcBp4Os/jLLmYHkekxbDqAZ6KL2Q5ItZitQV+f00bxH26vYRTvaThwoc1w+582HHTrXrv5rcr0LE40jC9r+JbhMobnsOl9wHTwxee+Nxv88VK3543iVxyuaRTvnW52DCe7mB3DaYbnYHXD0UcTzMeNU3XDbZhkuA1rpJmdhGdtZhvB9D6+X9eN4huolFG8zfA+ct3wIlzZabb9yzvMjr9TFlejeFO10s0HUD3sal4GkB0ehQAAAAAAALlGYgEAAAAAAOQaj0IAAAAAAIo9p/EDusgKPRYAAAAAAECulcjEwrZt2xQaGppv5aelpSksLEzbtm3LtzoAAAAAACgMSmRiIT8dPXpUoaGh2r17d0E3BQAAAACAfFckx1hwOp2aMmWKNmzYIKvVqp49e6pBgwZ69913lZycrPj4eI0cOVJt27bVypUr9a9//UtWq1U1a9bU5MmTJUmXLl1Sv3799Msvv6hu3bp6//335ebmlmWdq1ev1vvvvy9PT081aNBAdrtdEydOlL+/vx566CHt379fCxcu1NKlS/Xiiy9q3rx5meLnz5+vmJgYXb9+Xa6urpo6daruueeefN1OAAAAAIDfGL4BHtkokj0W1q5dq127dmnlypX67LPPFBUVpQ8//FARERFavny5IiIiNG3aNEnSe++9p3//+9+KiopSjRo1dPToUUnS6dOnNXr0aK1Zs0YXLlzQli1bsqzv0qVLevvttzVv3jwtXbpUV69ezTTfz89P69atU6VKlTR8+HC1bds20/yEhARt2LBBkZGRWrVqlZ588kktWLAgj7cKAAAAAAB3XpHssbBjxw517NhRbm5ucnNzU0xMjFJSUrRp0yatXbtW33//vRITEyVJrVu31jPPPKO2bduqffv2atCggbZt26YHHnhAd999tySpXr16unz5cpb17dy5U02bNlXVqlUlSU8//bQ2bNiQMb9JkybZttfLy0tTp05VbGysjh8/rq+++koNGjQw3QwAAAAAABS4ItljwWazyWL536tCTp06pd69e2vv3r1q1KiRXnrppYx54eHhev/991WuXDkNGzZMMTExGWX8zmKxyOl0Zlmfi4uLHI6sO864u7tn294zZ86oZ8+eunbtmvz8/NSlS5ds6wMAAAAA5C1HMfgprIpkYqF58+Zav3690tLSdP36db3wwgs6dOiQhgwZIj8/P33xxRey2+1KT0/XU089pQoVKujvf/+7goODtX///tuu75FHHtEPP/ygc+fOyel0avXq1ZkSG7fyww8/qHbt2urbt68aN26sDRs2yG6333Y7AAAAAAAobIrkoxDt2rXTvn37FBISIofDobCwMJ04cUKdOnWSzWaTr6+vkpOTlZqaqsGDB+v555+Xu7u7KlWqpIkTJ+rw4cO3VV/FihUVHh6u559/Xm5ubqpZs6bKli2b4/jHH39cixYtUkBAgJxOp5o3b65Dhw7d7moDAAAAAFDoFMnEgiQNHTpUQ4cOzTRt5MiRGb+PHTtWkhQYGKjAwMBMy1WqVEk+Pj4ZnydOnJhtXZcvX9aBAwe0YsUKubi4KCIiQrVr15Ykbdy48aYxkZGRGb+XLl1ac+bMufVKAQAAAABQxBTZxEJeS05OVs+ePW86b9CgQYqPj1dgYKCsVqsaNmyoHj163OEWAgAAAAByy6mcP86O20Ni4f94eHhkDOx4M39+hSQAAAAAACiigzcCAAAAAIDCgcQCAAAAAADINR6FAAAAAAAUew6GWMg3JBaKgGQ5jeJNT6A0w34tXi5mDfBymNWfIrMCPPNgkBdXs12opl6XjeK9GyQaxW/+/i6j+FENzxjFXzjiaRR/5rKXUfyXHm5G8e6P3WMUn7Y9xSje8BTSCVezc2C//apRfDWXSkbxklQ31fA6ajPbBlesRuHG10G74XXMtP2Xuj1vFF9x6b+N4ms3fMMo/pzV7OtS5XSz46+h4T3As0yqUfySi9WM4iXpsovZQbTVJckoPsHd7D5SP8XsJPzF1ezLVM8Ud6P4vWbhuuxidgybfpPqUeqSUfx6h9l95FcXu1H82VJmW6B/xbNG8ZJ0Ng/OYyA7PAoBAAAAAAByjcQCAAAAAADINR6FAAAAAAAUe448eMQZN0ePBQAAAAAAkGskFgAAAAAAQK6RWMhGaGhonpc5fPhwRUVF5Xm5AAAAAAAUBBIL2di+fXuelRUXF6eXXnpJ69aty7MyAQAAAAA54ywGP4UVgzdKSk9P19ixY3Xo0CFduHBB9evXV8WKFSVJ3bt312effZZl7LZt2xQRESGr1aqHH35YR44cUWRkpEJDQ1WuXDkdOnRI7733nr755hu1adNG5cuXv0NrBQAAAABA/qPHgqTdu3fL1dVVS5Ys0eeff65r167piSeekKRskwppaWkaPny4Jk+erOjoaNlsmfM09evX17p169SgQQO9+OKL6t69e76uBwAAAAAAdxo9FiQ1b95c5cuX14IFC3T06FEdP35cSUlJt4z7+eefValSJT3wwAOSpG7dumnChAkZ8x966KF8azMAAAAAIOccBd2AYoweC5K++OILvfbaa/Lw8FBISIiaN28up/PWT7BYrVY5HFkfnh4eHnnZTAAAAAAACh0SC5K2bt2qjh07qmvXripbtqy2bdsmu90uq9Wq9PT0LOPuuecexcfH6+DBg5KklStX3qkmAwAAAABQKPAohH4boPG1115TbGysXF1d9cgjj+jUqVNq06aNgoODFRUVJXd39xvi3NzcNGnSJL3++utycXFR3bp16aUAAAAAAChRSCzot0EWc9PbwOFwaOPGjVq4cKE8PT01Z84cxcXFSZIiIyNvGjNx4kSjtgIAAAAAbp/DYinoJhRbJBZyIDQ0VPHx8TdM79Wrl8qXL69u3brJ1dVVNWrUyDR4IwAAAAAAxR2JhRzIqvfB7/72t7/doZYAAAAAAFC4MHgjAAAAAADINXosAAAAAACKPWdBN6AYo8cCAAAAAADINYvT6SRxU8i9VftZo3hXmY1+6uUwCpe74REWX8Dpr7KG6y9J+2zpRvGPpZp1LnIzPM0Pu5kdQzXMVl8XrWbxNsNj0GE4gHDtVLOD6Jib2UlwzsWsfi+n2QY4Z7EbxTdNK/jOddcMr0OuedOMXNttTTGKr+O88ZXLt6Oy2SGg2mlmF5HWP75tFP/BI6ON4usaXgPibAV7I/zRlmZcRj2H2Vlw1WJ2IU8xjK+fZrYPzhpexlwN72OGp6Dxd7lUw/toecPvYgdtZlvAavhd+orMrmEN7W5G8ZL5Pux3ar5xGwqDz+4y+3dVYdD9zIKCbsJN0WMBAAAAAADkWsH/GQgAAAAAgHyWBx2RkQV6LAAAAAAAgFwjsQAAAAAAAHKNxAIAAAAAAMi1Qp1YCA0N1bZt2wq8jD+Ki4tTq1atMk374IMP1KlTJ3Xq1EmTJk3Ks7oAAAAAAHnDYSn6P4VVoU4sFDabN29Wnz59dP78+YxpW7Zs0ddff63ly5crOjpaP/74oz7//PMCbCUAAAAAAHdOoUksOJ1OTZ48We3bt1dAQIDmzZsnSVq6dKm6dOmiNm3aaOPGjZKkX3/9VX369FFgYKC6deumAwcOKCEhQX/7298UEhKikJAQffHFFxll36yMCxcu6O9//7uCgoLUpUsX/fe//71lG5cuXarp06dnmlalShWNGDFCbm5ucnV1Vb169XT69GmdOnVKwcHBGjp0qIKCgvT6669r8eLF6tmzpzp06KAjR47k1aYDAAAAAKDAFJrEwtq1a7Vr1y6tXLlSn332maKionT+/HmVKVNGy5cvV3h4uGbMmCFJGjdunNq3b69Vq1Zp0KBBmjlzpj7//HPVqFFDUVFRmjBhgnbu3JlR9s3KeOutt+Tr66uVK1fq/fff1xtvvKELFy5k28bp06fr/vvvzzTtvvvu08MPPyxJOn78uNasWaO//OUvkqSDBw+qX79+iomJ0a5du/Trr79qyZIlCgwM1JIlS/Jq0wEAAAAAUGAKTWJhx44d6tixo9zc3FS6dGnFxMSoSpUqatu2rSTp3nvv1eXLlzOWDQ4OliT95S9/0bRp09S0aVNt2LBB/fv31w8//KABAwZklH2zMr799lt169ZNknT33XerSZMm+v7773Pd/kOHDun555/X8OHDVadOHUlS5cqV9eCDD8rFxUXVqlVTixYtJEnVq1dXfHx8rusCAAAAANwehyxF/qewKjSJBZvNJovlfxvq1KlTSkpKktVqlaRM82w2W8bvTqdThw8fVp06dbRmzRoFBQVp586d6tatmxwOhyTdtAyn05mpfqfTKbvdnqu2f/fdd+rbt69effVVdenSJWO6m5tbpuV+bwcAAAAAAMVFoUksNG/eXOvXr1daWpquX7+uF198UXFxcTddtlmzZoqNjZX02+CJb775pubPn6/p06erY8eOGjNmjC5duqSEhIQs6/P19dXSpUslSSdPntSuXbsyHmm4HWfOnNGAAQM0ZcoUderU6bbjAQAAAAAoymy3XuTOaNeunfbt26eQkBA5HA716dNHa9asuemyo0ePVnh4uBYuXKhSpUopIiJC1apV0//7f/9PQUFBslqtGjZsmMqWLZtlfaNGjdLo0aMVFRUlSYqIiJC3t/dtt/uTTz5RSkqKJk6cmDGtV69eeuKJJ267LAAAAABA/nDeehHkksX552cCUOi8VftZo3hXw2dxvBxG4XI3PMLiC7hfTVnD9ZekfbZ0o/jHUs1ygG6Gp/lhN7NjqIbZ6uui4VNENsNj0PSdwbVTzQ6iY25mJ8E5F7P6vZxmG+CcJXePmf2uaVrB58CvGV6HXPOmGbm225piFF/H6W4UX9nsEFDtNLOLSOsf3zaK/+CR0UbxdQ2vAXG2gr0R/mhLMy6jnsPsLLhqMbuQpxjG108z2wdnDS9jrob3McNT0Pi7XKrhfbS84XexgzazLWA1/C59RWbXsIZ2t1svdAum+7DfqfnGbSgM5ld/rqCbYOy504VzXxT8t7VCZPXq1Zo9e/ZN58XExNzh1gAAAAAAUPiRWPiDgIAABQQEFHQzAAAAAAAoMkgsAAAAAACKPdPHW5G1QvNWCAAAAAAAUPSQWAAAAAAAALnGoxBFwHmL2UiytQxHYk4x7DKUZhhvmv0yHQn5hzwYDfsup9k+SDDcCHaL2U44Ykk2ik+xmY0oX8bwrQR10kyPgoJl+maWXYb770F5GsUnG56Fh13Nc+B3p5uVYdpzMrGAr4NVDN9LcZfhm128080KOGc1+7pi+laHgbvGG8UvaGJWf0G/leSq4Yj2kvTylnCj+IhWE2+9UDbSDF8yd93wHPY0vI7fnWZWwG5306tYwfYf32lLNYp3GO5/0zfjJFvMTuKrLuYv8TtmMXs7UD/jFqC4I7EAAAAAACj28uAt8sgCj0IAAAAAAIBcI7EAAAAAAAByjcQCAAAAAADINcZYAAAAAAAUe+bDYCIr9FgoAPXr1y/oJgAAAAAAkCdILAAAAAAAgFzjUYgsOJ1OTZkyRRs2bJDValXPnj3VoEEDvfvuu0pOTlZ8fLxGjhyptm3bZlnGlStXNGrUKB09elRubm4aMWKEWrRocQfXAgAAAACA/EViIQtr167Vrl27tHLlSqWlpal3796qUKGCIiIiVK9ePW3dulVvv/12tomFadOmqVatWpoxY4YOHjyo0aNHk1gAAAAAgALgsBR0C4ovEgtZ2LFjhzp27Cg3Nze5ubkpJiZGKSkp2rRpk9auXavvv/9eiYmJtyxjypQpkn4bV2HJkiV3oukAAAAAANwxjLGQBZvNJovlfymtU6dOqXfv3tq7d68aNWqkl1566bbLOHLkiBwOR760FwAAAACAgkBiIQvNmzfX+vXrlZaWpuvXr+uFF17QoUOHNGTIEPn5+emLL76Q3W7PtoxmzZopNjZW0m9JhX79+mVKNAAAAAAAUNTxKEQW2rVrp3379ikkJEQOh0NhYWE6ceKEOnXqJJvNJl9fXyUnJyspKUmenp43LWPw4MEKDw9X586dZbPZNGnSJBILAAAAAFAA6Duef0gsZGPo0KEaOnRopmkjR47M+H3s2LHZxpctW1bvv//+DdMPHjyYJ+0DAAAAAKCgkVgwNHfuXC1fvvyG6d7e3vr4448LoEUAAAAAANw5JBYM9e3bV3379i3oZgAAAAAAssGjEPmHwRsBAAAAAECukVgAAAAAAAC5xqMQRcBhxzWj+NqqaBRfN9Ws01CSi1n+6rSrUbhqpJnFe1gNGyBpjzXZKL5pmtmpes3FahTf2u5hFH/ZrHo5zcK1z92sAemGLSjvMHsbTIJhCtjDYrb+FbJ/s+4trXJcNIrv76xu1gBJnbtdMYq/svW6Ufy2U9WM4k+4mh1DR51m7S9vLW0Un+xidg2rnG52DtZNNYtf0GS0Ufyz3483iv/Pw2b1Xzd8IVV5md8HF/j8wyi+ktVsJfa5pBvFP/eS2XV08SyjcB12M7sRVDbs/107zexGcNFqtv08nG5G8ZdczK4B866bDbze3rOeUXxZw+8RkvSwzL7LAbdCYgEAAAAAUOw5zXM0yAKPQgAAAAAAgFwjsQAAAAAAAHKNxAIAAAAAAMg1xlgAAAAAABR7huOYIhvGPRZ++OEHjRo16rZiTp06JX9/f9Oq853dbteYMWMUGBioTp06ae7cuRnzQkND1alTJwUHBys4OFjff/+9JGnJkiUKDAxUUFCQRo4cqdTU1BvKjYqK0ogRI+7UagAAAAAAkG+Meyw0btxYjRs3zou2FDpRUVG6cuWKVqxYoeTkZHXr1k3NmzfXgw8+qOPHj2vTpk2y2f63CY8dO6ZPPvlEUVFRKl26tEaMGKGFCxeqb9++BbcSAAAAAADkI+PEwrZt2zRo0CBVrVpVK1eulCRt3LhRn332mWbOnKlZs2ZpxYoVslqtevzxxzVs2LAclXvlyhWNGjVKR48elZubm0aMGKEWLVpo/vz5iomJ0fXr1+Xq6qqpU6fqnnvukb+/vzp06KAtW7ZIkt5++209+OCDCg0N1YMPPqjvvvtOKSkpeu211/Sf//xHR44cUd++fbP9R/99992nJk2ayMXFRZ6enrr77rt15swZeXj89h7Y559/XleuXFGPHj303HPPyc3NTWPGjJGXl5ck6f7779fp06clSdHR0Zo5c6a8vLxUo0YNeXp65naTAwAAAABQaOTJ4I3169eXxWLRzz//LEmKjY1V586dtXnzZm3cuFHLli3T8uXLdeLECS1evDhHZU6bNk21atXSmjVrNGnSJL333ntKSEjQhg0bFBkZqVWrVunJJ5/UggULMmI8PT0VHR2twYMH6/XXX8+Y7nQ6tXTpUrVv314RERH64IMPtGDBAs2YMSPbNjz88MO6//77JUm7du3S3r171bx5c8XHx6tFixaaMWOG5s6dq8WLF+ubb75RjRo19Pjjj0uSLl26pAULFqhNmzaKi4vTlClTtGDBAi1ZskSJiYm3tX0BAAAAAGYcxeCnsMqzt0J07txZsbGxSk5O1o4dO+Tv769vv/1WnTp1UqlSpWSz2dS1a1dt3bo1R+Xt2LFDwcHBkn5LXCxZskReXl6aOnWqYmNjNXXqVG3atElJSUkZMT169JAk+fv7Ky4uTpcuXZIk+fn5SZKqV6+uJk2aqFSpUqpRo4bi4+Nz3JbBgwdrypQpKleunJo2bapJkyapTJkyqlixorp166bNmzdnLB8XF6ewsDB17dpVPj4+2r17t5o2barKlSvLZrMpKCgoR/UCAAAAAFDY5VliISgoSOvWrdOmTZvUqlUrubu7y+G4MaeSnp6eo/JsNpssFkvG5yNHjujXX39Vz549de3aNfn5+alLly5yOp2ZYn7ncDhktVolSa6urjddJifWr1+vIUOGaOrUqRm9EXbu3JkpQeJ0OjPKPXLkiHr16qUuXbpowIABkiSLxZJlOwEAAAAAKMryLLFQtWpV3XXXXfroo4/UuXNnSZKvr29GL4b09HQtW7ZMvr6+OSqvWbNmio2NlfTbP9b79eunffv2qXbt2urbt68aN26sDRs2yG63Z8T8vvznn3+uevXqqVy5ckbrtHfvXo0dO1b//ve/5ePjkzH92rVrmjRpklJSUpSQkKDly5erXbt2SkhI0AsvvKAhQ4bo+eefz1j+0Ucf1Z49exQXFyeHw6HVq1cbtQsAAAAAgMIiT/90HhwcrHfffVePPfaYJKl169bav3+/unbtqvT0dLVq1UrPPfeczp49e8uyBg8erPDwcHXu3Fk2m02TJk1SgwYNtHjxYgUEBMjpdKp58+Y6dOhQRsyuXbu0dOlSlSpVShMnTjRen5kzZ8put2car2Hw4MFq06aNvv/+ez399NNyOBzq3bu3mjZtqrlz5+rChQuaM2eO5syZI+m3xzKGDBmi8PBw9e3bV6VKldK9995r3DYAAAAAQM45b70Icsni/GMf/SLM399f//nPf1SzZs2CbkqeC6gVYBTfRhWN4uummg0TkuRi1jHmtOutl8lOjTSz+MtWs3hJ2mNNNorvdt0sB3jNxWwlUv/wWFJumG5D04tUgmHfrHTDFpR3mG0/0/YftaQYxT9qdzeKj3ScNorv76xuFC9JnbtdMYq/svW6Ufy2U9WM4k+4mh1D31nMBg1+xFnaKN7L8CSunG5WgM3wq84Vq9lJ+Oz3443i//PwaKP462aHjw5Zc/YYa3YeTjO7j8Ub3kf2uZhdB9970ew6uHiWUbiuGN4H3A3Pwdpp9lsvlI2LVrMdaHofvORitgEWXv/ZKL69Zz2j+Hvt5n8LNrwMaODJ+cZtKAym3/1cQTfB2KBCui8K9GH/uXPnavny5TdM9/b21scff3xH2rB69WrNnj37pvNiYmLuSBsAAAAAACiqCjSx0LdvX/Xt2zdPytq4cWOu4gICAhQQYNYjAAAAAABQuBl2IkU28mzwRgAAAAAAUPKQWAAAAAAAALlGYgEAAAAAAORagY6xgJx53FLBKN7wpQj62d0s/2QzHInYdCTjo66Go4kbj6Mr3ev0MIpPtpi9mcPDaRb/s5vZMfBkitlo3KcsZqNxl3Mx24dfupq1v4Xh/o8z3P/1nGbbL8HwFPBzNXsjwjmz1ZckLY4qbxSf5GIWn+JmFC6r4XXQ9K0Ops+kphm2v6HXZaP4/143ezvSNcM/w5i+1aHPHrO3Svz46CtG8UnOskbxknTJ8K0Ol13MLgRlZNYA07c6nDdc/5qGX+biDL/x/+hutgKmf8m8N8XwDWWG32V7eN5vFG83fLtUW49LRvGSFJNqdh0sLvLgKwWyQI8FAAAAAACQayQWAAAAAABArpFYAAAAAACgmFm5cqUCAgL01FNPacGCBTfM379/v0JCQtS+fXuNGjVK6enpua6LxAIAAAAAoNhzFIOfnIqLi9O7776rhQsXKjo6WkuWLNHhw4czLTNs2DCNHj1a69atk9Pp1KeffnobNWRW7BMLI0aMUFRUVJbz69evf9Ppn376qVatWpWnbfnmm28UFhaWp2UCAAAAAPBHW7Zska+vr8qXLy9PT0+1b99ea9euzZj/66+/Kjk5WQ8//LAkKSQkJNP828VbIbKwa9cuPfbYY3lSlsPh0Ny5czV79mzdf7/ZqLIAAAAAgJIpPj5e8fHxN0wvW7asypb931t8zp07pypVqmR89vb21t69e7OcX6VKFcXFxeW6XcUuseB0OjVx4kR9+eWX8vb2lt1u12OPPabo6GjNmzdPDodDDRs21JgxY+Tu/tsr2N58803t3btXFSpU0Ntvv63jx49r48aN+vbbb1WlShU98cQTN63r2rVrGj58uH755RfdfffdOnv2rD744ANt375dy5cv15UrV9S6dWsFBQXpyJEjeuuttxQZGXknNwcAAAAAoJiYN2+ePvjggxumDxw4UIMGDcr47HA4ZLH8733RTqcz0+dbzb9dxS6xsG7dOv30009atWqVrl27ps6dO+v69euKjY3V4sWL5e7urqlTp+qTTz5R//79JUnNmzfXW2+9pQULFmjChAmaMWOG/P399dhjj2WZVJCkGTNmqG7dupo5c6Z++OEH9ezZM2NeXFycVq9eLZvtt008YcIEbdu2LX9XHgAAAABwU86CbkAeCAsLU5cuXW6Y/sfeCpJUrVo17dy5M+Pz+fPn5e3tnWn++fPnMz5fuHAh0/zbVewSC9u3b9dTTz0lV1dXVaxYUX5+fnI6nTpx4oR69OghSUpLS9ODDz4oSfLw8FDnzp0lScHBwXrvvfdyXNc333yjKVOmSJIaN26c6TGHBx98MCOpAAAAAACAqT8/8pCVli1bavr06bp06ZJKlSql9evX66233sqYX6NGDbm7u+u7777To48+qpiYGPn5+eW6XcXuX74Wi0VO5/9yUTabTXa7XR07dlR4eLgkKTExUXa7XZLk4vK/8SudTudtJQOsVmumuv7Iw8MjN80HAAAAAMBI1apVNXToUPXp00dpaWnq1q2bHnroIfXr10+DBw9W48aNNWXKFIWHhyshIUENGzZUnz59cl1fsUsstGjRQp988ol69eql69ev66uvvlK9evX0+eef6+WXX1bFihU1duxY1apVS4MGDVJSUpK++OILtWnTRsuWLVPLli0l/ZY0+D35kF1dK1eu1AMPPKCDBw/q0KFDRs+lAAAAAACQF4KCghQUFJRp2scff5zx+wMPPKClS5fmSV3FLrHQtm1b/fDDDwoMDFTlypVVr149lSlTRgMHDlRYWJgcDocaNGigv/3tb5J+60qyYcMGTZs2TVWrVtU777wj6beuI//85z9VpkwZdejQ4aZ1DRgwQCNHjlRQUJBq1aqlypUr01MBAAAAAAohB38DzjfFLrEgSUOHDtXQoUNvmN69e/cbpu3YseOmZXTq1EmdOnXKtp4vvvhCffv21aOPPqrTp0/rueeeU4UKFRQSEqKQkJAblvfx8ZGPj08O1wIAAAAAgMKvWCYW8tLcuXO1fPnyG6Z7e3tr8ODBGjNmjBwOh1xcXDR+/PhMYzYAAAAAAFDckVi4hb59+6pv375Zzo+KirpzjQEAAAAAoJAhsQAAAAAAKPYcBd2AYox++wAAAAAAINdILAAAAAAAgFzjUYgiwMNp9l6UZIvTKN60y5CLxaz9KYb122RWv7fdsAGSEgxTeKZvxnF1FuwxUKPaVaP4C2erGMU7zFZf3yWfNor3sd1jFH/EmWQU/4TDyyj+pNXsCHA3vIal5MGrodwNyzA9B9JkdhC6G18FzMQbtr+63az9nmVSjeJ13Szc1Sxc1w1334+PvmIU3/C794ziv2o62ihektINt4HhZdxYumF8suEauBpuAKfhNSTVtP2G9ddxTTSKP+YsYxRv+pdY0+/i1VuafhuWqm0wLqJYKOhrSXFGjwUAAAAAAJBrJBYAAAAAAECukVgAAAAAAAC5xhgLAAAAAIBiz8EoC/mGHgsAAAAAACDXilxiYcSIEYqKispyfv369W86/dNPP9WqVatuKCM0NDTP2zh8+PBs2wgAAAAAQHFR5BILubVr1y6lpt74uqrt27fnWR1xcXF66aWXtG7dujwrEwAAAACAwqzQj7HgdDo1ceJEffnll/L29pbdbtdjjz2m6OhozZs3Tw6HQw0bNtSYMWPk7u4uSXrzzTe1d+9eVahQQW+//baOHz+ujRs36ttvv1WVKlUyyo6IiJAkde/eXZ999lmWbdi2bZsiIiJktVr18MMP68iRI4qMjFRoaKjKlSunQ4cO6b333tM333yjNm3aqHz58pni16xZozlz5ig5OVmpqal6++239cgjj+T9xgIAAAAA3JSjoBtQjBX6Hgvr1q3TTz/9pFWrVmnatGn65ZdfdP36dX366adavHixYmJiVKlSJX3yyScZMc2bN1dMTIzatWunCRMmqGXLlvL399fgwYP1xBNPZCwXHh4uSdkmFdLS0jR8+HBNnjxZ0dHRstky52Lq16+vdevWqUGDBnrxxRfVvXv3TPMdDocWL16sWbNmacWKFXrxxRf10Ucf5cWmAQAAAACgwBX6Hgvbt2/XU089JVdXV1WsWFF+fn5yOp06ceKEevToIem3f/w/+OCDkiQPDw917txZkhQcHKz33nvPqP6ff/5ZlSpV0gMPPCBJ6tatmyZMmJAx/6GHHso23sXFRTNmzNDGjRt17Ngxbd++XS4uhT6fAwAAAABAjhT6xILFYpHT+b/XgthsNtntdnXs2DGjx0FiYqLsdrskZfpHu9PpvKGHwe2yWq1yOLLuNOPh4ZFtfGJiorp166bOnTurefPmql+/vhYsWGDUJgAAAAAACotC/6fzFi1aaM2aNUpNTdXVq1f11VdfSZI+//xzXbx4UU6nU2PHjtW8efMkSUlJSfriiy8kScuWLVPLli0l/ZYg+D358EdWq1Xp6elZ1n/PPfcoPj5eBw8elCStXLnyttp//PhxWSwWvfTSS/Lx8dHnn39+03YAAAAAAPKPsxj8FFaFvsdC27Zt9cMPPygwMFCVK1dWvXr1VKZMGQ0cOFBhYWFyOBxq0KCB/va3v0mSypYtqw0bNmjatGmqWrWq3nnnHUlSy5Yt9c9//lNlypTJVH6bNm0UHBysqKiojMEf/8jNzU2TJk3S66+/LhcXF9WtW/eWvRT+6IEHHlCDBg3UsWNHWSwWtWrVSt99953BFgEAAAAAoPAo9IkFSRo6dKiGDh16w/Q/D5QoSTt27LhpGZ06dVKnTp0kSR06dMiYPn369Gzrdjgc2rhxoxYuXChPT0/NmTNHcXFxkqTIyMibxkycODHjd6vVqn/+85+Z5v/+CAcAAAAAAEVdkUgs3AmhoaGKj4+/YXqvXr1Uvnx5devWTa6urqpRo0amwRsBAAAAACjJSCz8n6x6H/zu90ctAAAAAABFT9ZD8sNUoR+8EQAAAAAAFF4kFgAAAAAAQK6RWAAAAAAAALnGGAtFQN1Us6eBzrqa5Y9SLEbhcjd84ep9qWlG8dPcE4ziG9rKGsVL0oDK54ziPzt3l1G8u9PsGPC2G4Vr5cWqRvFeVrP6D7iarUCg6hjFu5kdwmqk0kbxbUpfNIo/drmcUbxpBnuPh/mt6rTV7Dpq+t5ob4fZVvAwfCg09DWzY+g/UxON4hMMz+ElF6sZxZ+ymZ2EV5VuFF9erkbxSU6z+9BXTUcbxb+0e7xRvCS92GyYUXyr9FJG8U2VZBQfbfM0ive/bnYM/ezmZhRfI93sKnbWZvZl0PS59m9U5tYLZaNfx/NG8Z/FVjGK79nD7Bo6fZnZ90BJSnRldAFJchj+uwZZo8cCAAAAAADINRILAAAAAAAg13gUAgAAAABQ7DmMH25EVuixAAAAAAAAco3EQh4KDQ3Vtm3bCroZAAAAAADcMSQWAAAAAABArpW4MRZmzZqlFStWyGq16vHHH1fv3r01YMAA3XPPPTp8+LCqV6+uyZMnq3z58vrvf/+r999/X+np6apZs6beeustVahQIdvyP/30U73zzjuSpJEjR8rHx0eJiYkaP368Dh06JLvdrn79+ikwMPBOrC4AAAAAQOavj0bWSlSPhc2bN2vjxo1atmyZli9frhMnTuirr77Szz//rN69eys2Nlb16tXTBx98oEuXLmnq1Kn65JNPFB0drVatWmnKlCm3rMPT01PR0dGaOHGihg0bptTUVM2cOVMNGzZUVFSUFixYoFmzZunkyZN3YI0BAAAAAMhfJarHwrfffqtOnTqpVKlSkqSuXbsqOjpaderUkY+PjyTp6aef1muvvabHH39cZ86cUZ8+fSRJDodD5cqVu2Ud3bp1kyQ98MADqlSpko4ePaotW7YoOTlZy5YtkyQlJSXp0KFDuvvuu/NjNQEAAAAAuGNKVGLB4XDcMC09PV022/82g9PplNVqld1u1yOPPKJZs2ZJklJSUpSYmHjLOqxWa6b6bDabHA6HJk+erIYNG0qSLly4kKMkBQAAAAAAhV2JehTC19dXsbGxSk5OVnp6upYtWyZfX18dO3ZM+/fvlyQtW7ZMfn5+atKkifbs2aNjx45Jkj788ENNmjTplnWsXLlSkvTDDz8oMTFRtWvXlq+vrxYtWiRJOnfunDp37qwzZ87k01oCAAAAAP7MUQx+CqsS1WOhdevW2r9/v7p27ar09HS1atVKrVu31uzZs/X+++/rl19+Uf369RURESFPT0+9/fbbeuWVV+RwOFS1alVNnjz5lnUkJSXp6aeflouLi6ZOnSpXV1cNHDhQY8eOVWBgoOx2u4YNG6ZatWrdgTUGAAAAACB/lajEgiT1799f/fv3z/h86tQplSpVSjNnzrxhWX9/f/n7++e47MjIyJtO9/LyytHAjwAAAAAAFDUlLrFg6tVXX9Xhw4dvmO7v768hQ4YUQIsAAAAAACg4JT6xULNmTW3cuDHHy0+dOjUfWwMAAAAAyA8OOQu6CcVWiRq8EQAAAAAA5C0SCwAAAAAAINdILAAAAAAAgFyzOJ1OHjQp5F6r84xRfDWH1SjeYhRd8NmrFMMVOGNJN25DNafZcCaV7Wb1m77zdovtulH8vU4Po3jTi1SjFLMSzM4gyWZ4mT3tataC/1qTjOIflKdR/HFLilH8XU43o3hJustudiFINbyOpJteSA1ddDG7CtybZnYlr55udh297GJ2Dpx1NdsBL2953Sh+gc8/jOIvGV6ETO/De1zM7gGS9K+dt35ld3bGNgs3ik8zvJPUSzfbCabXEO90s/b/6G5WfzmH2QqY3sf3WMzuY6UtZvuvrtNsA54z/C5ZxfB7pCQdsSQbxf/r+FLjNhQGww3/XVUYTDq+qKCbcFMF/W8+AAAAAABQhJFYAAAAAAAAuVbiXzcJAAAAACj+TB8PRtbosQAAAAAAAHKNxAIAAAAAAMg1EgtZGDFihKKiohQXF6d+/frladn+/v46depUnpYJAAAAAEBBYIyFW6hatao+/vjjgm4GAAAAAMCAw/jlp8hKiUosOJ1OTZkyRRs2bJDValXPnj3VoEEDvfvuu0pOTlZ8fLxGjhyptm3bZsScOnVKffr00caNG3Xy5EkNHz5ciYmJatasmdasWaOtW7dmWV9KSorGjRun7777Tq6ururfv78CAgLuxKoCAAAAAHBHlKjEwtq1a7Vr1y6tXLlSaWlp6t27typUqKCIiAjVq1dPW7du1dtvv50psfBH48ePV3BwsHr16qXly5drwYIF2dYXGRmppKQkrVmzRhcvXlTfvn2zLBsAAAAAgKKoRI2xsGPHDnXs2FFubm4qXbq0YmJiNHv2bB06dEgzZszQnDlzlJiYmG18YGCgJOnpp5+Wm5vbLesLCgqSi4uLqlSpotjY2FvGAAAAAABQlJSoxILNZpPFYsn4fOrUKfXu3Vt79+5Vo0aN9NJLL2Ub7+7uLqfzt+dyLBaLbLbsO3z8ub4TJ04oNTXVYA0AAAAAALnhLAY/hVWJSiw0b95c69evV1pamq5fv64XXnhBhw4d0pAhQ+Tn56cvvvhCdrs9y/hWrVpp+fLlkqQNGzYoKSnplvWtXr1aTqdTFy9e1HPPPUdiAQAAAABQrJSoMRbatWunffv2KSQkRA6HQ2FhYTpx4oQ6deokm80mX19fJScnZ5kweOONNzRq1CgtW7ZMDz744C3r6927tyIiItS5c2dJ0ptvvikvL688XScAAAAAAApSiUosSNLQoUM1dOjQTNNGjhyZ8fvYsWMlSRMnTsyYtnHjRklSpUqVNGvWrIzpUVFR2dbl5uam8ePH3zD99/IAAAAAACjqSlxiIa+tXr1as2fPvum8mJiYO9waAAAAAMDNOAq6AcUYiQUDBw8elCQFBAQUcEsAAAAAACgYJWrwRgAAAAAAkLdILAAAAAAAgFzjUQgAAAAAQLHnlLOgm1BsWZxOJ1u3kJtW6zmjeNcC3sMpFrN4T8NRVtIM688LptugvOE2sBoeA3bD9u+32Y3iKzjNOlcds6QYxd/v9DCKP2tJN4qv5jTLAZcz2/zGTI+fvBhoKcmwf57pOeRmGJ9o2H7T+4DpXyFM69/qcvPXQOfUfSplFJ9ueAxXcpgVcN7F7Cww/RpQJ928g+txm9k6jN0ZYRS/qMloo/izhidBBcPr8DprvFH8k46yRvGm1wCzu6B01GpWQqtks2P4hJtZfN1Us+P/aw/zL/O17Vaj+EEn5xu3oTAYXKdnQTfB2PvHlxR0E26KRyEAAAAAAECukVgAAAAAAAC5xhgLAAAAAIBiLy8er8TN0WMBAAAAAADkGokFAAAAAACQa0U2sTBixAhFRUXle8zNbNu2TaGhocblAAAAAADuDIecRf6nsCqyiQUAAAAAAFDwiszgjU6nUxMnTtSXX34pb29v2e12Pfjgg/rb3/6mCxcuSJIGDBigNm3aaPv27Xr33XeVnJys+Ph4jRw5Um3bts1UXnR0tObNmyeHw6GGDRtqzJgxcnd3z7L+r7/+Wu+8847c3d1Vt27djOmhoaEqV66cDh06pPfee0/nz5/X+++/r/T0dNWsWVNvvfWWKlSooC1btmjixIlyOp2qXr26pk6dKi8vr/zZWAAAAAAA3CFFpsfCunXr9NNPP2nVqlWaNm2afvnlF8XHx6tGjRqKiorShAkTtHPnTknS/PnzFRERoeXLlysiIkLTpk3LVNahQ4f06aefavHixYqJiVGlSpX0ySefZFl3amqqRowYoffff19RUVHy8PDINL9+/fpat26dqlatqqlTp+qTTz5RdHS0WrVqpSlTpig1NVWvvfaa/vGPf2jlypW6//77tXz58rzfSAAAAAAA3GFFpsfC9u3b9dRTT8nV1VUVK1aUn5+fvL29tWTJEsXFxenJJ5/UgAEDJEmTJ0/Wpk2btHbtWn3//fdKTEzMVNa2bdt04sQJ9ejRQ5KUlpamBx98MMu6Dx48KG9vb9WrV0+S1KVLl0zJioceekiS9P333+vMmTPq06ePJMnhcKhcuXI6ePCgqlatqgYNGkiSXn311TzaKgAAAACAnCi8IxQUfUUmsWCxWOR0/u9QsNlsstlsWrNmjb766itt2rRJ//73v7V69Wr17t1bPj4+8vHxUYsWLfTaa69lKstut6tjx44KDw+XJCUmJsput+e4bqvVmmn+7z0Y7Ha7HnnkEc2aNUuSlJKSosTERJ07d04WiyVj+WvXrikxMVHVqlXL5dYAAAAAAKBwKDKPQrRo0UJr1qxRamqqrl69qq+++kpJSUmaPn26OnbsqDFjxujSpUuKj4/X8ePHNWTIEPn5+emLL764IWng4+Ojzz//XBcvXpTT6dTYsWM1b968LOuuX7++Lly4oAMHDkiSYmNjb7pckyZNtGfPHh07dkyS9OGHH2rSpEmqW7euLl68qMOHD0uS/vWvf2nRokV5sVkAAAAAAChQRabHQtu2bfXDDz8oMDBQlStXVr169eRwOHTs2DEFBQXJarVq2LBhKl++vLp166ZOnTrJZrPJ19dXycnJSkpKyijrgQce0MCBAxUWFiaHw6EGDRrob3/7W5Z1u7q66p///KeGDRsmm82W5WMTVapU0dtvv61XXnlFDodDVatW1eTJk+Xu7q7Jkydr+PDhSktLU61atTRp0qQ830YAAAAAANxpFucf+/ijUJpW6zmjeNcC3sMpllsvkx1Ph1l8mmH9ecF0G5Q33AZWw2PAbtj+/basHzXKiQpOs85VxywpRvH3Oz1uvVA2zlrSjeKrOc1ywOXMNr8x0+PH8PCXJCUZ9s8zPYfcDOMTDdtveh8w/SuEaf1bXZJuvVA27lMpo/h0w2O4ksOsgPMuZmeB6deAOunmHVyP28zWYezOCKP4RU1GG8WfNTwJKhheh9dZ443in3SUNYo3vQaY3QWlo1azElolmx3DJ9zM4uummh3/X3uYf5mvbbfeeqFsDDo537gNhcHf63Qv6CYYm338s4Juwk0VmR4Ld0JoaKji42+8cPfq1UvPPPNMAbQIAAAAAIDCjcTCH0RGRhZ0EwAAAAAAKFKKzOCNAAAAAACg8KHHAgAAAACg2MuLcZtwc/RYAAAAAAAAuUaPhSLA9K0IpqOhm6qZZjaSbSVHmlH8Nx6uRvE2mb9WItDlqlH8v11KG8XfZzc71RMMjyEPw21YznBEdVer2QqYnoNtUs3af8LNrP66aWajae93Nzt+GqSY1f+jYf2SdNFiNiS7l2EevrzhMVwrxewgvL/MFaP4zckVjeJrpJlt/wR3T6P4qxaz7Zdm+F6FfS5m50AZmY3mbqqpzN7KIUmHDN/MYfpWh2e+H28UP6rZKKN4T4vZPvR1mr3VIdnwq4zpEWj6cqJ7Db/HNKpwwSje5bLZNfCRmnFG8bEXzOqXpESXgr2OoPijxwIAAAAAAMg1eiwAAAAAAIo9p2EPNGSNHgsAAAAAACDXSCwAAAAAAIBc41EIAAAAAECxx+sm80+J7LEwcuRItWnTRqtWrSropgAAAAAAUKSVyB4Ly5cv1969e+XmZvgONwAAAAAASrgS12PhpZdektPpVPfu3XXx4sUb5qelpWnYsGF6+umn9fTTT+vTTz+VJP3666/q06ePAgMD1a1bNx04cECStGzZMgUGBiooKEgjRoxQYmKiJMnX11cvvviigoODlZaWpo8++khdunRR586dNWnSJDmdjEgKAAAAACj6SlxiYdasWZKkmJgYVapU6Yb5u3fv1tWrVxUdHa3Zs2dr586dkqRx48apffv2WrVqlQYNGqSZM2fq4MGDmjVrliIjI7Vy5UqVKlVKH3zwgSTp8uXL6tevn2JiYrR161bt27dPS5cuVXR0tOLi4rRixYo7t9IAAAAAUMI5i8F/hVWJfBQiO/fdd5+OHTumF154QX5+fho+fLgkaceOHfrnP/8pSfrLX/6iv/zlL5o/f75at26tChUqSJJ69uypkSNHZpTVpEkTSdLWrVu1d+9ehYSESJKSk5NVvXr1O7laAAAAAADkCxILf1KhQgXFxsbqm2++0ebNm9WlSxfFxsbKZvvfpnI6nTpy5IgcjszjijqdTqWnp2d89vDwkCTZ7XaFhYXpr3/9qyQpPj5eVqv1DqwNAAAAAAD5q8Q9CnErX3zxhYYNG6Ynn3xS4eHh8vT01JkzZ9SsWTPFxsZKkrZs2aI333xTjz32mDZu3KgrV65Ikj799FP5+PjcUKavr69iYmKUmJio9PR0DRgwQOvWrbuTqwUAAAAAQL6gx8Kf+Pn5af369erUqZPc3d3VuXNn1a9fX6NHj1Z4eLgWLlyoUqVKKSIiQvfee6/+/ve/KzQ0VGlpaWrYsKHGjRt3Q5n+/v46cOCAevToIbvdrieeeEJdunQpgLUDAAAAgJLJcetFkEslMrFw8ODBLOe5urrqH//4xw3T77rrLn3yySc3TO/evbu6d+9+yzr69++v/v3756K1AAAAAAAUXiUysZCcnKyePXvedN7gwYPVpk2bO9wiAAAAAACKphKZWPDw8FBMTExBNwMAAAAAgCKvRCYWAAAAAAAli8PpLOgmFFu8FQIAAAAAAOSaxekkbVPYvVinm1F8bae7UbzdKFqyGsZ7OS1G8TXTzA7xS1az+iXpjNWsDQ+lmMXbLWbrkG64CZIN6zcVb3gQJljMtn91ww0YZ9i37Jwl3Sj+HrtZAza6xBvF/zWltFG8JLVb+6xR/Kne043iFyZWNop3ldkxdN7wGKjuMDsGyhkOw+2dblbAVavZ31GuG17CnnvJLH7xLLN4s70vnbSZj6N+d7rZPrhqeB2/YDH7NjNh5wSj+A8fGW0Ub/g1QimGx3CqYbzpNcDVcP0vGB4/M699bxT/bNnGRvF1DM8fSTL8Oq2XTs43bkNhEFo7pKCbYCzyRFRBN+Gm6LEAAAAAAAByjTEWAAAAAADFHl318w89FgAAAAAAQK6RWAAAAAAAALlGYgEAAAAAAOQaYywAAAAAAIo9B6Ms5Bt6LNyEv7+/Tp06le0yH3zwgTp16qROnTpp0qRJmealpaUpLCxM27Ztu2lsVFSURowYkWftBQAAAACgoJBYyIUtW7bo66+/1vLlyxUdHa0ff/xRn3/+uSTp6NGjCg0N1e7duwu4lQAAAAAA5L9im1jYtm2bunXrppCQELVq1UoXLlyQJF25ckWtWrVSWlqaNm3apODgYAUFBal///4Zy9xKlSpVNGLECLm5ucnV1VX16tXT6dOnJUlLly7Viy++qCZNmmSKiY6OVvv27dW1a1d9+eWXebquAAAAAIDsOYvBf4VVsU0sSNLx48c1b948dejQQWvXrpUkrV+/Xu3atVN8fLxGjx6tGTNmaOXKlXrkkUc0fvz4HJV733336eGHH86oY82aNfrLX/4iSRo+fLjatm2bafm4uDhNmTJFCxYs0JIlS5SYmJh3KwkAAAAAQAEq1omFunXrqkyZMurcubNiY2MlSatWrVLnzp21d+9ePfTQQ6pZs6YkqWfPnvr2229vq/xDhw7p+eef1/Dhw1WnTp0sl9u9e7eaNm2qypUry2azKSgoKNfrBAAAAABAYVKsEwseHh6SpIceekhXr17V3r17FRcXp6ZNm8rhcGRa1ul0Kj09Pcdlf/fdd+rbt69effVVdenSJdtlLRaLnM7/dVux2XgZBwAAAACgeCjWiYU/CgoK0pgxY9SpUydJUpMmTfT9999nvP1hyZIl8vHxyVFZZ86c0YABAzRlypSM8rLz6KOPas+ePYqLi5PD4dDq1atzvyIAAAAAgNvmKAY/pk6fPq1nn31WHTp00Msvv3zTx/TPnTunF154QcHBwerSpYu2bt16y3JLTGKhc+fO2r9/vzp37ixJqly5ssaPH6+BAweqU6dO2r59u8aNG5ejsj755BOlpKRo4sSJCg4OVnBwsBYtWpTl8pUrV1Z4eLj69u2rbt26ycvLK0/WCQAAAACAnBo3bpx69+6ttWvXqlGjRvrwww9vWGbSpEny9/dXTEyMpk6dqtdee012uz3bcottn3wfH59MPRBq1KihAwcOZFrG399f/v7+N8Ru3Lgx27LDw8MVHh6e7TKRkZGZPnfo0EEdOnS4VbMBAAAAALip+Ph4xcfH3zC9bNmyKlu2bLaxaWlp2rFjh2bMmCFJCgkJ0XPPPadhw4ZlWq5du3by9fWVJNWuXVspKSlKSkpSmTJlsiy72CYWTO3cuVNvvfXWTed99NFHqlq16h1uEQAAAACgJJs3b54++OCDG6YPHDhQgwYNyjb28uXL8vLyyhjzr0qVKoqLi7thufbt22f8/sknn6hBgwbZJhUkEgtZatasmWJiYgq6GQAAAACAPOCQ89YLFXJhYWE3fXnAn3srrFmzRu+8806mabVr15bFYsk07c+f/2ju3LlasmSJ5s+ff8t2kVgAAAAAAKAIyMkjD5LUsWNHdezYMdO0tLQ0+fj4yG63y2q16vz58/L29r5p/KRJk7R582YtWLBA1apVu2V9JWbwRgAAAAAASipXV1c1a9Ys4y2F0dHR8vPzu2G5uXPnatu2bVq0aFGOkgqSZHE6nUW/P0gxN6ROL6P4Bnazjimehu81KeUwO8RSsumekxPrXJOM4ita3IziJamG02wfeBnuA9MMYjm72T780c0svna62RoctZltQG+HWf2m+y/BcAcmWMy2/2sT7zWK/38j9xvFV8yDznV32c02YpLhPrg7zWwfpBleB60FfKd3N/yqccZmtv7XDfef8X3QcPuft5rFJxt2/fVLTjNrgKQf3czupR6G2zDF7BCS3TC+/67xRvETHn3TKL5OutkK2Ay3f4LhMfxv+0mj+KmOKkbxB2weRvF10szOoY2lDDegpKtKN4r/8Pinxm0oDLrXDi7oJhj77ITZ4/q//vqrRowYoYsXL+quu+7SP//5T5UrV06LFi3SuXPnNHjwYD322GPy8vLK1DPiVuMM8igEAAAAAKDYcxaDMRZM1ahR44Y3GErSM888k/H7jh07brtcHoUAAAAAAAC5RmIBAAAAAADkGokFAAAAAACQayQWcsnf31+nTp0q6GYAAAAAAHLAUQx+CisSCwAAAAAAINdK5Fshpk6dqnXr1qlChQqqUqWK/P39NWfOHN1zzz06fPiwqlevrsmTJ6t8+fLZlvPBBx/owIEDcnd317hx4/TAAw/owoULGj16tM6ePSuLxaJXX31Vjz32mJ588klFR0ercuXKunLligIDA7Vp0ya5urremZUGAAAAACAflLgeCxs3btR3332nVatW6aOPPtJPP/0kSfr555/Vu3dvxcbGql69evrggw9uWVbt2rUVHR2t/v37a8SIEZKkCRMmqGvXroqKitLMmTM1evRoJScnq0OHDlq7dq0kaf369WrXrh1JBQAAAABAkVfiEgtbtmxRx44d5ebmpnLlyqlt27aSpDp16sjHx0eS9PTTT+vbb7+9ZVndu3eXJP3lL3/R6dOnFR8fry1btuj9999XcHCw+vXrp/T0dJ08eVKdO3dWbGysJGnVqlXq3LlzPq0hAAAAAODPnE5nkf8prErcoxAuLi5yOG4c9sJm+9+mcDqdslqttyzrj8s4nU7ZbDY5HA7Nmzcv4zGKc+fOqVKlSrJarbp69ar27t2ruLg4NW3a1HxlAAAAAAAoYCWux0LLli21fv16paamKiEhQV9++aVOnz6tY8eOaf/+/ZKkZcuWyc/P75ZlrVy5UpL0+eefq169evL09JSvr68WLlwoSTp8+LCCgoJ0/fp1SVJQUJDGjBmjTp065dPaAQAAAABwZ5W4HgtPPvmkdu/erS5duqhcuXLy9vaWu7u7ypUrp/fff1+//PKL6tevr4iIiFuWdfz4cQUHB6t06dKaOHGiJCk8PFyjR49WUFCQJGnSpEny8vKSJHXu3FnTpk3Tu+++m38rCAAAAAC4gUOF91GCoq7EJRZ2796tOnXqKDY2VmlpaerZs6eeeOIJLVq0SDNnzsxxORs3brzp9KpVq2r27Nk3nVejRg0dOHAgV+0GAAAAAKAwKnGJhbp16+qDDz7QnDlz5HQ69fTTT2f0KPiz0NBQxcfH3zC9V69eeuaZZ/K7qQAAAAAAFHolLrFQvnx5ffLJJzdMv1kPhMjIyDvRJAAAAAAAiqwSl1gAAAAAAJQ8N74bEHmlxL0VAgAAAAAA5B0SCwAAAAAAINd4FKIIqOy0GsVfNkwfnXUxey2LWeulKoZ9lpo4Pc0KyIO30tyTarYSl21mO9HLbrYSx9wsRvHuhtuww11njOI9q6UbxW/eUcMovqpSjeJ3uXoYxVdwmu2/d0YeNoqvaHir8TRsv2R+GhteBnXQ1Szey7D+u9PMCjjsZlb/fl03iu+Z4m4Uf9jN7E50d5rZNfywm9k1vGaaUbhcDY+fn90MDwBJ3ulmjfjM7ZpRvK+zrFG8h+E2nPDom0bxo757yyh+6qOjjeKTLGYboJThdfxDZwWj+OluZu2v6zSLX2M1uwYOuF7KKF6S9rqbn8dAdkgsAAAAAACKPWde/MUQN8WjEAAAAAAAINdILAAAAAAAgFwjsQAAAAAAAHKNMRYAAAAAAMWegzEW8g09FvJBWlqawsLCtG3btoJuCgAAAAAA+YrEQh47evSoQkNDtXv37oJuCgAAAAAA+a5IJRacTqcmT56s9u3bKyAgQPPmzdOxY8cUGhqqoKAg9ezZU3v37tW+ffvUvXt3SVJSUpIaNWqk77//XpI0evRorVmzRr/++qv69OmjwMBAdevWTQcOHMi27tWrV6tDhw4KCQnRqFGjNGLECEmSv7+/XnnlFbVv314XL17U0qVL9eKLL6pJkyaZ4ufPn6/u3bsrMDBQXbp00dGjR/NhCwEAAAAAcGcVqcTC2rVrtWvXLq1cuVKfffaZoqKi9NJLLyk0NFQrV67UyJEjNWTIEN1///06d+6crl27pp07d6ps2bLavn27JOnbb7/VE088oXHjxql9+/ZatWqVBg0apJkzZ2ZZ76VLl/T2229r3rx5Wrp0qa5evZppvp+fn9atW6dKlSpp+PDhatu2bab5CQkJ2rBhgyIjI7Vq1So9+eSTWrBgQd5vIAAAAADATTmdziL/U1gVqcTCjh071LFjR7m5ual06dJauHChLl++rKeeekqS9PDDD6tcuXI6evSoWrZsqW3btunbb79VWFiYduzYocOHD+uuu+6Sl5eXduzYoeDgYEnSX/7yF02bNi3Lenfu3KmmTZuqatWqcnFx0dNPP51p/p97J/yZl5eXpk6dqtjYWE2dOlWbNm1SUlKS2cYAAAAAAKAQKFKJBZvNJovFkvH55MmTN2RtnE6n7Ha7nnzySW3dulXfffedevfurcOHD2vTpk1q3bp1Rll/jDl8+HCW9bq4uMjhcGQ5393dPdt2nzlzRj179tS1a9fk5+enLl26FOpsEwAAAAAAOVWkEgvNmzfX+vXrlZaWpuvXr+uVV16RxWLR+vXrJUl79uzRhQsXdN999+nxxx/X119/LRcXF5UpU0YNGjTQf/7zHz355JOSpGbNmik2NlaStGXLFr355ptZ1vvII4/ohx9+0Llz5+R0OrV69epMCY5b+eGHH1S7dm317dtXjRs31oYNG2S323O/IQAAAAAAt8VRDH4KK9utFyk82rVrp3379ikkJEQOh0N9+vSRj4+Pxo4dq+nTp8vV1VXTp0+Xm5ub3NzcVK1aNTVu3FiS5Ovrq8OHD6tOnTqSfhvEMTw8XAsXLlSpUqUUERGRZb0VK1ZUeHi4nn/+ebm5ualmzZoqW7Zsjtv9+OOPa9GiRQoICJDT6VTz5s116NAho20BAAAAAEBhUKQSC5I0dOhQDR06NNO0yMjImy47b968jN9DQ0MVGhqa8fmuu+7SJ598kqM6L1++rAMHDmjFihVycXFRRESEateuLUnauHHjTWP+2KbSpUtrzpw5OaoLAAAAAICipMglFvJLcnKyevbsedN5gwYNUnx8vAIDA2W1WtWwYUP16NHjDrcQAAAAAIDCh8TC//Hw8FBMTEyW8//8CkkAAAAAQNHhFAPo55ciNXgjAAAAAAAoXEgsAAAAAACAXCOxAAAAAAAAcs3idDp50KSQm1D7WaN4T6clj1qSO3bD+LvTzA7R065m6182D14Y+6Mt3Si+mtNsOBTTffBosln793iYtd/F8Cp11sVsC1jNqje2Ne2cUby/rZpRfJ10s3PorOFoPq6F4C5V0Fn4NMPL+DmL2TlQ2Wl2FtgL+JlWd8P7YILFrP2VHWb1pxjuf9OtXyPdfP/tdzOL97abbYRkw21o+k2qkuGN2PQ6+up3443iP3xktFG86Vcp02tgBcPtf9XwJmB4G5UtDy6h5Qx3Qr9T880bUQi0vbt9QTfB2IaT6wq6CTdV0N+VAAAAAABAEUZiAQAAAAAA5BqJBQAAAAAAkGuGT2wBAAAAAFD4Mbxg/qHHwi3ExcWpX79+uYr94osvNG3atDxuEQAAAAAAhQc9Fm6hatWq+vjjj3MV26ZNG7Vp0yaPWwQAAAAAQOFBj4U/2LZtm8LCwvTCCy+offv2GjZsmI4ePSp/f/9s46ZPn67w8HCFhobK399fM2fOlCRFRUVpxIgROnPmjFq0aKEjR44oNTVVQUFB+vLLL+/AGgEAAAAAkL/osfAnu3fvVnR0tOrWrashQ4Zo8+bNOYo7ePCgFixYoGvXrqlt27Z69tlnM+bdddddeu211zR27Fg98sgjatq0qZ588sl8WgMAAAAAwJ85xBgL+YUeC3/SvHlz3XPPPbJYLAoODta3336bozgfHx+5ubmpUqVKKl++vK5du5ZpfteuXeXu7q6VK1dqxIgR+dF0AAAAAADuOBILf2K1WjN+dzqdmT5nx93dPeN3i8Vyw4ijKSkpOnv2rOx2u86ePZs3jQUAAAAAoICRWPiT7777TnFxcXI4HIqOjpafn1+elPvee+/J19dXI0eO1MiRI2W32/OkXAAAAAAAChKJhT/x9vbW8OHDFRAQoKpVq6ply5bGZe7Zs0fr1q3TK6+8og4dOqh8+fL697//nQetBQAAAADkhLMY/FdYMXjjn1SuXFnz5s3LNG3jxo3ZxgwaNOimy9esWVMhISE3lDF79uy8aCoAAAAAAAWOxEIOzZ07V8uXL79hure3tz7++OMCaBEAAAAAAAWPxMIf+Pj4yMfH56bz+vbtq759+97ZBgEAAAAA8oTDWXgfJSjqGGMBAAAAAADkGokFAAAAAACQayQWAAAAAABArjHGQhHgIotRfAW7Wf3PfNHPKD5tzjSj+LkLPY3it1iuGcXfayttFC9J6YavhvF0mNWfbHYIKbaUWbynzFbAxbD9HobnUCWHWQ42wWK2/4OtdxnFJxkef8mGKegLFrOLUG2H1awBksoZnkMnbWbb8P+Nv9so/l/hp4ziK7iY7UR3w0dSbU6zc/Cyi1kDTNsvw2tI7TSzc+BHd7NzINXwGnDWZngRlvk5aPqF1fQqYnofNbyEKMnwPvLhI6ON4vvvGm8Uf/XZvxrFv3uwhlF8OcO/pb4clmoUHznXzSj+lNXwBJIUb/plqphghIX8Q48FAAAAAACQayQWAAAAAABArpFYAAAAAAAAucYYCwAAAACAYs/BKAv5hh4LAAAAAAAg10gsAAAAAACAXCOx8CcnT57UG2+8ccvldu/erR49eqhTp076f//v/yk1NfvX0Jw+fVrPPvusOnTooJdfflmJiYl51WQAAAAAAAoMiYU/OX36tE6ePJntMgkJCRo0aJDGjx+v2NhYSdLSpUuzjRk3bpx69+6ttWvXqlGjRvrwww/zrM0AAAAAgOw55CzyP4VViRq8cdu2bZo8ebIcDodq1KghT09PHTp0SHa7Xf369VNgYKAiIiJ06tQpjRs3TmPGjLlpOd98840efvhhPfDAA5Kk8PBw2e32LOtNS0vTjh07NGPGDElSSEiInnvuOQ0bNizvVxIAAAAAgDuoxPVYOH78uObNm6fatWurYcOGioqK0oIFCzRr1iydPHlS4eHhatSoUZZJBUk6ceKEPD09NXToUAUHB2v69OkqW7ZslstfvnxZXl5estl+y+NUqVJFcXFxeb5uAAAAAADcaSWqx4Ik1a1bV2XKlNGWLVuUnJysZcuWSZKSkpJ06NAhlS5d+pZl2O12ff3111qyZImqV6+uUaNG6aOPPtKgQYNuurzT6ZTFYsk07c+fAQAAAAAoikpcYsHDw0OS5HA4NHnyZDVs2FCSdOHCBZUrV067du26ZRmVK1dWkyZNdPfdd0uSOnbsqPnz52e5fMWKFXXt2jXZ7XZZrVadP39e3t7eebA2AAAAAICccDoL7xgFRV2JexTid76+vlq0aJEk6dy5c+rcubPOnDkjq9Wq9PT0bGNbtWqlH3/8UWfOnJEkbdq0KSNBcTOurq5q1qyZVq9eLUmKjo6Wn59fHq0JAAAAAAAFp8QmFgYOHKjk5GQFBgYqLCxMw4YNU61atVSvXj1du3Yt24EV77rrLo0fP14vvfSSOnTooKtXr+rvf/97tvWNGTNGn376qQICArRz50698sorebxGAAAAAADceSXqUQgfHx/5+PhIkry8vDRlypQblqlQoYJWrVp1y7KefPJJPfnkkzmuu0aNGoqMjMzx8gAAAAAAFAUlKrFwO3755ZcsB2OMiIhQ48aNb5geGhqq+Pj4G6b36tVLzzzzTJ63EQAAAACQMw4xxkJ+IbGQhVq1aikmJua2YuiRAAAAAAAoaUrsGAsAAAAAAMAcPRYAAAAAAMWek0ch8g2JhSLA1fD4TzLsl7KwzcdG8YkunkbxKRajcNW2mNXv5TRsgCRXi9mpZjdsQrphfCWn1SjedAuadq1yMW6Baf0Fy9Vw/dMM66/gNNsCpsevJDV1u2oUf9ZRzih+Xvgpo/gEw4PIWsDnwHXD9pu2PrVgV18XrWbXUNNriOk1wGFYvyTjr/LZvwj81uyG8eUMN0KC2SGgUobfRUz34dVn/2oUX27BHKN4j0ffNIpPNjyJLsReMopPsVQzijfd/1LBfxdC8VfQ33cBAAAAAEARRmIBAAAAAADkGo9CAAAAAACKPaeTMRbyCz0WAAAAAABArpFYAAAAAAAAuUZi4U9OnjypN954I0fLpqWlKSwsTNu2bbvlsqdPn9azzz6rDh066OWXX1ZiYqJpUwEAAAAAKHAkFv7k9OnTOnny5C2XO3r0qEJDQ7V79+4clTtu3Dj17t1ba9euVaNGjfThhx+aNhUAAAAAkEMOOYv8T2FVohIL27ZtU7du3RQSEqJBgwbp9ddfV0hIiIKDg7Vq1SpJUkREhPbt26dx48ZlW9bSpUv14osvqkmTJresNy0tTTt27FD79u0lSSEhIVq7dq35CgEAAAAAUMBKVGJBko4fP6558+apdu3aatiwoaKiorRgwQLNmjVLJ0+eVHh4uBo1aqQxY8ZkW87w4cPVtm3bHNV5+fJleXl5yWb77SUcVapUUVxcnPG6AAAAAABQ0Erc6ybr1q2rMmXKaMuWLUpOTtayZcskSUlJSTp06JBKly6d53U6nU5ZLJZM0/78GQAAAACAoqjEJRY8PDwkSQ6HQ5MnT1bDhg0lSRcuXFC5cuW0a9euPK+zYsWKunbtmux2u6xWq86fPy9vb+88rwcAAAAAcHNOZ+Edo6CoK3GPQvzO19dXixYtkiSdO3dOnTt31pkzZ2S1WpWenp6ndbm6uqpZs2ZavXq1JCk6Olp+fn55WgcAAAAAAAWhxCYWBg4cqOTkZAUGBiosLEzDhg1TrVq1VK9ePV27dk3Dhg3L0/rGjBmjTz/9VAEBAdq5c6deeeWVPC0fAAAAAICCUKIehfDx8ZGPj48kycvLS1OmTLlhmQoVKmS8ISInIiMjc7RcjRo1crwsAAAAAABFRYlKLNyOX375RYMGDbrpvIiICDVu3PiG6aGhoYqPj79heq9evfTMM8/keRsBAAAAADnjEGMs5BcSC1moVauWYmJibiuGHgkAAAAAgJKmxI6xAAAAAAAAzNFjAQAAAABQ7Dl5FCLf0GMBAAAAAADkGj0WigCHxSz+osUsM5diNYt3c5qtQBnD+OYpZvmzNIvhDsgDVsPsqqfDLP57d7Nt8Le6vxrF/3ygslH8dafZpW5RqTSj+EH2dKP4f1ndjeJbp7gaxY+2HzKKDyt1v1G83Sj6N1+llzOKL2tY/2nD62g5wxuBl8MoXAdsZsdwZafVKL5HqUtG8V8nVDKK32lLNYr3cLoZxd+bYrYD67gmGsV/ozJG8ZK0zSXJKN7bxXAb2s3uA66Gf+T82HHSKP5DZwWj+I1WL6P4dw/WMIr3ePRNo/gR371lFP9x09Fm8Ze8jeJtht/FO6RdN4qXpEt2s3MIuBV6LAAAAAAAgFyjxwIAAAAAoNhzOBljIb/QYwEAAAAAAOQaiQUAAAAAAJBrJBYAAAAAAECukVgoAJs2bdKcOXMKuhkAAAAAUGI4i8F/hRWDNxaAffv2FXQTAAAAAADIEyU6sbBt2zbNnj1bHh4eOnLkiOrXr68pU6Zo5cqVmjNnjiwWixo2bKg333xTpUuX1vz58xUTE6Pr16/L1dVVU6dO1T333JNl+du3b9e7776r5ORkxcfHa+TIkapTp44WL14sSapevbq6du16p1YXAAAAAIA8V+Ifhdi9e7dGjx6tNWvW6PTp01qyZIlmzZqlyMhIrVy5UqVKldIHH3yghIQEbdiwQZGRkVq1apWefPJJLViwINuy58+fr4iICC1fvlwRERGaNm2a7r33XvXq1Uu9evUiqQAAAAAAKPJKdI8FSbrvvvtUrVo1SVK9evV09epVtW7dWhUqVJAk9ezZUyNHjtTrr7+uqVOnKjY2VsePH9dXX32lBg0aZFv25MmTtWnTJq1du1bff/+9EhMT8319AAAAAAA3cjgL7xgFRV2J77Hg7u6e8bvFYlHZsmUzzXc6nUpPT9eZM2fUs2dPXbt2TX5+furSpYuctzgwe/furb1796pRo0Z66aWX8qX9AAAAAAAUpBKfWLiZjRs36sqVK5KkTz/9VD4+Pvrhhx9Uu3Zt9e3bV40bN9aGDRtkt9uzLOPKlSs6fvy4hgwZIj8/P33xxRcZy1utVqWnp9+JVQEAAAAAIF+V+Ech/szLy0t///vfFRoaqrS0NDVs2FDjxo2TxWLRokWLFBAQIKfTqebNm+vQoUNZllO+fHl169ZNnTp1ks1mk6+vr5KTk5WUlKTmzZvr9ddfV+XKlRUaGnoH1w4AAAAAgLxVohMLPj4+8vHxyfg8ceLEjN+7d+9+w/Jz5sy5rfJHjhypkSNHZnweO3asJKl58+bauHHjbbYWAAAAAJBbTjHGQn4p0YmFvPDqq6/q8OHDN0z39/fXkCFDCqBFAAAAAADcOSQWDE2dOrWgmwAAAAAAQIFh8EYAAAAAAJBr9FgAAAAAABR7DidjLOQXEgtFQBXDN1MmuliM4t2dZvGeDqNw3WVPNYpfWMqsAdXkZhQvSY8km8WfdjXrXBRveAwkWrJ+tWpORB+uaRR/2d0oXOFnNhnFN7bUMYr/yaWuUbyLNc0ovpHXZaP48MT7jeJTDa9hV6xm8ZJ01bB/XprhYE/3pJmdgzbD70G+5c8bxVe8XNkovrzD7CBY76hkFH/SZnYNcxju/0suZvFJ7mYH8DFnGaP4fh3Njh9J2reurFF8q2SzbdCowgWj+GVJZufA1PQqRvHT3cyOoVaG1+Fyhp2cDXefPm462ii+3+7xRvELmpjV3/PDh4zixwzZbRQvSWWcZjshwLgFKO54FAIAAAAAAOQaPRYAAAAAAMUer5vMP/RYAAAAAACgBDh9+rSeffZZdejQQS+//LISExOzXDYhIUFt27bVtm3bblkuiQUAAAAAAEqAcePGqXfv3lq7dq0aNWqkDz/8MMtl33rrLcXHx+eoXBILAAAAAAAUAfHx8Tp16tQNPzlJAKSlpWnHjh1q3769JCkkJERr16696bKrV69W6dKlVb9+/Ry1i8RCHrp27ZoGDBggSTp16pT8/f0zzf/mm28UFhZWEE0DAAAAgBLN4XQW+Z958+apTZs2N/zMmzfvlut/+fJleXl5yWb7bajFKlWqKC4u7oblTp8+rXnz5mn48OE53rYM3piHrl69qv37998w3eFwaO7cuZo9e7buv9/stW0AAAAAgJIpLCxMXbp0uWF62bKZX+u7Zs0avfPOO5mm1a5dWxZL5ldg//mzw+HQqFGj9Oabb8rDwyPH7Sq2iQWn06kpU6Zow4YNslqt6tmzp/z8/DR69GhduXJFnp6eGjVqlB566CGNGDFC7u7u+uGHH5SYmKiXX35ZTz/9dJZlJyQk6I033lBcXJzOnTunFi1aaMKECYqIiNC5c+c0YMAAjRw5MmP5I0eO6MiRI3rrrbcUGRl5B9YeAAAAAFDclC1b9oYkws107NhRHTt2zDQtLS1NPj4+stvtslqtOn/+vLy9vTMtc/ToUR09elSjRo2SJP3yyy8KDw/XW2+9JV9f3yzrK7aJhbVr12rXrl1auXKl0tLS1Lt3by1cuFCvvvqqnnrqKe3Zs0dDhgzRunXrJEknT57UkiVLdPHiRYWEhOjxxx9XlSpVblr2l19+qQYNGuj9999XamqqOnXqpB9//FHh4eHq06ePZsyYoVOnTmUsf99992nChAk5Gk0TAAAAAIC85urqqmbNmmn16tUKCgpSdHS0/Pz8Mi1z7733avPmzRmfQ0NDNXDgQPn4+GRbdrEdY2HHjh3q2LGj3NzcVLp0aS1cuFCXL1/WU089JUl6+OGHVa5cOR09elTSbwNXuLq6qlq1anrkkUf03XffZVl2YGCgHn/8cc2dO1cRERG6cuWKkpKS7sh6AQAAAABun7MY/GdqzJgx+vTTTxUQEKCdO3fqlVdekSQtWrRI06ZNy3W5xbbHgs1my/S8yMmTJ+V0Zt4RTqdTdrtdkmS1WjOmOxyOjAEtbiYyMlLr1q1Tjx491LJlS/388883lA0AAAAAQGFSo0aNmz6e/8wzz9x0+Zw+yl9seyw0b95c69evV1pamq5fv65XXnlFFotF69evlyTt2bNHFy5c0H333Sfpt8EtnE6nfv31V+3du1ePPvpolmV/88036tmzpzp37qyUlBQdOHAgIxmRnp5+R9YPAAAAAIDCoNj2WGjXrp327dunkJAQORwO9enTRz4+Pho7dqymT58uV1dXTZ8+XW5ubpKk5ORkde3aVampqRo/frwqVKiQZdlhYWEaO3asPvroI3l5ealp06Y6deqUmjVrpurVqys0NPSGETgBAAAAACiOim1iQZKGDh2qoUOHZpqWVVeODh06KCQkJEfltmjRImPQxz9bvHhxxu8bN27MNM/Hx+eWg14AAAAAAPKe0+ko6CYUW8U6sWBi9erVmj179k3nxcTE3OHWAAAAAABQOJFYkDRx4sQbpgUEBCggIKAAWgMAAAAAQNFRbAdvBAAAAAAA+Y8eCwAAAACAYs8hZ0E3odiixwIAAAAAAMg1eiwUAZ4Os8xaiovFKL5np/NG8c5Uu1H84s+rGcX/nHbGKL60axWjeEna7241ir9qMduGrjI7Bk46k43iXWylzOKNoqXRdz1pFO/tMNt+Z83C9YDd1Sh+W1pFo/jLhncK73Sz+B2WRLMCJJ1zJBnF17WWNYof2vW6UfyBZWbHwLdXzK5jVwyPgVMWs/b/6lKw18A6Tnej+HnXDxrF9/C83yje9Br6Waz5fbCu2W1QJ9zM4l0um10HZ6Z+bxRf2bOJUXxdp9l3wauGB8HLYalG8RdiLxnFf3zJ2yh+QZPRRvHPfj/eKH7pQ28axVsMj39JSrDwNgTkLxILAAAAAIBiz2mYpEPWeBQCAAAAAADkGokFAAAAAACQayQWAAAAAABArhVIYiE0NFTbtm27Yfq0adP0xRdfZBtbv379/GrWDex2u8aMGaPAwEB16tRJc+fOzZgXGhqqTp06KTg4WMHBwfr++98G9VmyZIkCAwMVFBSkkSNHKjX1xsFuoqKiNGLEiDu1GgAAAABQ4jnkLPI/hVWhGrxxyJAhBd2ETKKionTlyhWtWLFCycnJ6tatm5o3b64HH3xQx48f16ZNm2Sz/W8THjt2TJ988omioqJUunRpjRgxQgsXLlTfvn0LbiUAAAAAAMhHt0wsbNu2TR9++KFsNptOnTqlhx56SC+//LL69++vChUqyMPDQ7NmzdK4ceP03XffydXVVf3791dAQEC25S5dulQTJ05UfHy8Ro0aJX9/f40YMUKPPfaYQkJC9J///Efz589XmTJldM8996hWrVoaNGiQJGn06NHas2ePJGn69OmqXbu2/P391aFDB23ZskWS9Pbbb+vBBx9UaGioypUrp0OHDum9997T4cOHNXPmTFksFjVu3FhvvfWWXF1v/hqs++67T02aNJGLi4s8PT11991368yZM/Lw8JAkPf/887py5Yp69Oih5557Tm5ubhozZoy8vLwkSffff79Onz4tSYqOjtbMmTPl5eWlGjVqyNPTMwe7BwAAAACAwi1Hj0Ls3r1bo0aN0tq1a5WSkqLNmzfr2LFjmjx5subMmaPIyEglJSVpzZo1mjNnjmbMmHHTRwD+qEyZMlq+fLnCw8M1Y8aMTPMOHDigBQsWKCoqSgsXLtSJEycyzW/ZsqVWrFihxx9/XIsXL86Y7unpqejoaA0ePFivv/56xvT69etr3bp1qlixot555x39+9//VmxsrOx2uzZv3pxlGx9++GHdf/9v747etWuX9u7dq+bNmys+Pl4tWrTQjBkzNHfuXC1evFjffPONatSooccff1ySdOnSJS1YsEBt2rRRXFycpkyZogULFmjJkiVKTDR/JzsAAAAAAIVBjhILzZs31z333COLxaLg4GB9++23qlSpkmrWrClJ2rFjh4KCguTi4qIqVaooNjZWbm5u2ZbZtm1bSdK9996ry5cvZ5q3detWtW7dWl5eXnJ3d1enTp2yjL1y5UrG9B49ekiS/P39FRcXp0uXLkmSHnroIUm/JUgeeeQRVatWTZI0efLkjLKys2PHDg0ePFhTpkxRuXLl1LRpU02aNEllypRRxYoV1a1bt0wJiri4OIWFhalr167y8fHR7t271bRpU1WuXFk2m01BQUG3rBMAAAAAkHecTmeR/ymscpRYsFqtGb87nU5ZrdaMxwEkyWazyWKxZHw+ceLELXss/F7mH+MyGuXiIofDkWXs7+MaWCyWTBv3j+MdOByOjDp+b+uf23np0qWM5ENW1q9fryFDhmjq1KkZvRF27typrVu3ZizjdDoz6j5y5Ih69eqlLl26aMCAAbdsJwAAAAAARVmOEgvfffed4uLi5HA4FB0dLT8/v0zzmzdvrtWrV8vpdOrixYt67rnnbplYyE6LFi20efNmJSQkKDU1VevXr79pAuLPYmNjJUmff/656tWrp3LlymWa37hxY+3Zs0fnz5+X9Ns4DNm9hWLv3r0aO3as/v3vf8vHxydj+rVr1zRp0iSlpKQoISFBy5cvV7t27ZSQkKAXXnhBQ4YM0fPPP5+x/KOPPqo9e/ZkbMPVq1ff1vYAAAAAAKCwytGfzr29vTV8+HDFxcXp8ccfV8uWLfXRRx9lzO/du7ciIiLUuXNnSdKbb76ZMYBhbtx///3q06ePevbsKU9PT1WoUEHu7u63jNu1a5eWLl2qUqVKaeLEiTfMr1q1qkaNGqUXXnhBDodDDz/8sEJCQrIsb+bMmbLb7ZnGaxg8eLDatGmj77//Xk8//bQcDod69+6tpk2bau7cubpw4YLmzJmjOXPmSPrtsYwhQ4YoPDxcffv2ValSpXTvvffmYqsAAAAAAFD45CixULlyZc2bNy/TtI0bN2b87ubmpvHjx+e40sjIyIzfa9asmVHW78mAY8eOKS0tLaMHwssvv6x69epJkg4ePJgRGxISkikx8Oqrr2aM+3CzuiSpQ4cO6tChQ47aOXPmzCznvfLKK3rllVcyTevbt2+Wr5a8nXoBAAAAAHnLUYjHKCjq8u1h/1dffVWHDx++Yfrvf8HPTo0aNfTDDz8oMDBQFotFrVq1UuvWrfOlnatXr9bs2bNvOi8mJiZf6gQAAAAAoLi4ZWLBx8cn0/gCOTV16tRcNUj6rQfE7cb/sQfF7QgICFBAQECuYgEAAAAAKOlyNHgjAAAAAADAzfDeQwAAAABAsecUYyzkF3osAAAAAACAXKPHQhGQbrEUaP0LV1cxivd0mNVfzW5WwL0eFYziryndKF6ShpS9ZBS/NN7buA0m7rGUMop3c5odw5ctdqP46Re2G8W3qdTQKL5rejmj+D1uZus/oOIFo/jv48yuAZWUahT/kEobxUvSNavZMWzq06hbvzI5O1bD+rt2u2IUv3VJ7l8hnRfOljK7hlwxvI4nW8z+DtPes55RvN3wL2zJFrP4nj0SjeIlaXSUp1G8X4rZPnikZpxR/LMXGhvF17meZhS/xnrdKP4xS1mj+Mi5bkbxKZZqRvE202P4w4eM4pc+9KZRfLe9bxnFr202zChektz4ezLyGUcYAAAAAADINXosAAAAAACKPaeTMRbyCz0WAAAAAABArpFYAAAAAAAAucajEAAAAACAYs/B6ybzDT0WAAAAAABArpFYyIXTp0+rffv2Cg4OVkJCwm3FXrt2TQMGDMinlgEAAAAAcGeRWMiF7du3q1GjRoqJiZGX1+292/vq1avav39/PrUMAAAAAIA7i8TCH8yaNUsBAQEKCgrSxIkTZbfbNXfuXLVv314BAQGaPHmy9u/fr/fee09fffWVRo8enWVZCQkJGjx4sHr27KnWrVvrjTfekNPpVEREhM6dO0evBQAAAAC4g5xOZ5H/KaxILPyfzZs3a+PGjVq2bJmWL1+uEydOaObMmVq4cKGWLl2qFStW6Mcff5TdbtfgwYPl7++v8ePHZ1nel19+qQYNGmjJkiVat26dduzYoR9//FHh4eHy9vbWjBkz7uDaAQAAAACQP3grxP/59ttv1alTJ5UqVUqS1LVrVw0cOFBhYWEqU6aMJGnu3LmSpJ9//vmW5QUGBmrv3r2aO3eujh49qitXrigpKUnly5fPr1UAAAAAAOCOI7HwfxwOxw3TnE6nLBZLxue4uLiMxMOtREZGat26derRo4datmypn3/+uVB3XQEAAAAAIDd4FOL/+Pr6KjY2VsnJyUpPT9eyZcv0+uuva/PmzUpMTFR6erpeffVV7du3L0flffPNN+rZs6c6d+6slJQUHThwQA6HQzabTenp6fm8NgAAAACAP3I4nUX+p7Cix8L/ad26tfbv36+uXbsqPT1drVq1Up8+feTu7q5evXrJ4XCoXbt2atmypaKiom5ZXlhYmMaOHauPPvpIXl5eatq0qU6dOqVmzZqpevXqCg0NVWRk5B1YMwAAAAAA8g+JhT/o37+/+vfvn2nas88+q2effTbTtJCQEIWEhGRbVosWLbRu3bqbzlu8eLFZQwEAAAAAKCRILBhYvXq1Zs+efdN5MTExd7g1AAAAAADceSQWDAQEBCggIKCgmwEAAAAAuAUG088/DN4IAAAAAAByjcQCAAAAAADINYuT/iCF3ru1njOKT7KY7eIUi1G4HDKr391p1oBShvGV7EbhkqRLVrP4e1MdRvEuhvtgj7tZDrKr7YpR/LkET6N4UyNtF4ziu1lrGMXvd0k2in/Y7mEU/4vV7CTwcpodP56G5/BvbTCLv27YhAsuZuew6TYwvY6a3kdqpZvV37rqWaP4leerGcVfdTFb/7IOs/Vv63HJKL56yxSj+A+/vMsoPi9ctJhdh67K7FXfzdLdjeKP28yuAW2vm63/bndXo/grhtcw0+9ibdKuG8VHuZntP9O70FmlGsX/a+dkwxZIi5qMNorv8+t84zYUBhW87i3oJhi7nHC4oJtwU4yxAAAAAAAo9kz/4Ims8SgEAAAAAADINRILAAAAAAAg10gsAAAAAACAXGOMBQAAAABAscd7C/JPseixMGLECEVFRcnf3z9Pytu0aZPmzJkjSVq0aJEWLVqUJ+VK0smTJ/XGG2/kWXkAAAAAABQkeizcxL59+zJ+f+aZZ/K07NOnT+vkyZN5WiYAAAAAAAWlSCYWnE6nJk6cqC+//FLe3t6y2+167LHHlJKSoiFDhujYsWOqVauWJkyYoHLlysnf31+dO3fW119/revXr+sf//iHGjVqpBMnTmjs2LG6cuWKPDw89Oabb8rNzU2LFy+WJFWvXl2nT5+WJL300kt64403dOjQIUlS79691aNHjyzbGBcXpzfeeEPXrl3TuXPn1KVLFw0ZMkQRERE6deqUxo0bpzFjxuT/xgIAAAAAyMGjEPmmSD4KsW7dOv30009atWqVpk2bpl9++UWSdPHiRYWGhmrFihW6++67NWPGjIyY8uXLa+nSperVq5dmz54tSXr99dc1bNgwLV++XG+99ZaGDh2qe++9V7169VKvXr3UtWvXjPjdu3fr6tWrio6O1uzZs7Vz585s27hq1SoFBgbq008/1cqVKzVv3jxdunRJ4eHhatSoEUkFAAAAAECxUCR7LGzfvl1PPfWUXF1dVbFiRfn5+UmS6tatq2bNmkmSgoODNWLEiIyYJ554QpJ03333af369UpMTNS+ffs0cuTIjGWSkpJ0+fLlm9Z533336dixY3rhhRfk5+en4cOHZ9vGF154Qd9++60++eQTHTp0SGlpabp+/brRegMAAAAAUNgUycSCxWLJNKKnzWbL9H/pt8cl/vjZ3d09I1aSHA6H3NzcFBMTk7HM2bNnVb58+ZvWWaFCBcXGxuqbb77R5s2b1aVLF8XGxqps2bI3XX7ixIk6efKkAgMD1bZtW23ZsoVRSAEAAAAAxU6RfBSiRYsWWrNmjVJTU3X16lV99dVXkqQjR47op5/+f3v3HRbF1f0B/LvsgqgYjSioQSMgxtfYohjBiiUEFRBEsIItKiZqQEUQEAugIPZeEnvDAtiwoVgSFbArCjEWECwYEUREYXfn9wfPzo9VYGd3ll2U83mfPK8s3JkLu1PunXPPuQsAOHDgADp37lzmNmrVqoWmTZuyEwt///03hg8fDgAQCoUQi8VyP3/69Gn4+PjAxsYGgYGBqFGjBp49e1bm9v/++2+MHTsWffv2xaNHYdJUmQAAdJhJREFUj/DixQtIpdJSt00IIYQQQgghpGIxX8D/KqvPMmKhT58+uH37Nuzt7VGvXj2Ym5sDAJo0aYLVq1cjPT0dzZs3h7e3d7nbiYiIwJw5c/DHH39AV1cXS5cuhUAgQMeOHeHr64t69eqxP9u9e3ecPHkS/fv3R7Vq1eDo6IjvvvuuzG1PmDABM2bMgL6+Pho0aIBWrVohIyMD//vf/5CXlwcfHx9ERESo5w9CCCGEEEIIIYRoiYCh+PxKb2mTEbzavxPwe4s/CHg1h5TnzFo1hl8HqvNsbyjh1RwAkC3k175ZoZRXex2e78GNavyCm1xEObzaZ72twas9XzNF//FqP0j4Da/293Te82rfTqLPq326kN9BYMDw+/zU4HkMF/eBX/sCnl34T4ffMcz3b8D3PMr3OtJEzG//PY2f82p/+GUDXu1zdfj9/l9J+f3+ffSzebVv1PkDr/Zrzjbk1V4dXgn4nYdywS9a1FJcjVf7xyJ+54A+Bfx+/+vVdHm1z+F5DuN7L9a7iF+esig9fu8f36vQcxTyav/HFf4PI3e3DeLV3iNzB+8+VAY1azTVdhd4y3/3WNtdKNVnGbFQWWzZsgXR0dGfvG5kZISNGzdqoUeEEEIIIYQQQohm0cQCD6NGjcKoUaO03Q1CCCGEEEIIIQpIKVi/wnyWyRsJIYQQQgghhBBSOdDEAiGEEEIIIYQQQlRGSyE+A/zS5fBP2vWBZ9IuvrkP+c5+DW+Syau94c7FPHsArO62hFf7+3r8/go886bBWZjDq/0h8de82uvwyz2IIp7JK3sL+CUue8HzKGgEfkmnLCXveLU/p8Ov/92ltXi111dD1OJ7nseALs8+8E38xTeJ7hueie/4vgX/6vL7BZ6/4pd80ZDnL/BIwC/5YTvwO4kdLKzLq32DOF7Nka/L906Ef/K6tjyT0Obr8MuizDeHLN/kkbeq6fFqX5vnW/hGh98fQIfnWTBbwu/3r8UzifBbAb8/oB7Pu1m+iRcBYOjNeby3QUh5aGKBEEIIIYQQQsgXjwoiVhxaCkEIIYQQQgghhBCV0cQCIYQQQgghhBBCVEYTC4QQQgghhBBCCFEZ5VgghBBCCCGEEPLFY3inIyZloYgFQgghhBBCCCGEqOyLmViYOXMmMjM/LSuYkJAAd3f3ctv6+fkhKirqk9efPHkCf39/tfWREEIIIYQQQgj50nwxEwsJCQlqLx/y9OlTPHnyRK3bJIQQQgghhBCieQzDfPb/VVaVNsdCQkIC1q9fD319fTx48ADfffcdFi1ahNjYWGzduhVSqRTff/89Zs+eja1btyIrKwvjx4/Hzp07kZycjAULFqBatWowNTVlt5mWloY5c+YgJycH+vr6mDVrFlq2bAkAOHv2LHbs2IGioiJMnDgR/fr1Q0hICDIyMjB37lzMnj271H5mZGTgt99+g5mZGf7991+0bNkSP/zwA6Kjo5Gbm4vVq1fD3Nwct27dwoIFC/D+/Xt8/fXXmDt3Lho3bqyRvyUhhBBCCCGEEFJRKnXEwvXr1xEUFIRjx47h6dOn2L17N/bu3Ys9e/bg4MGDMDQ0xJ9//onx48fDyMgIGzZsQM2aNeHn54cVK1YgKioK+vr67PZ8fX3h4+OD6OhoBAcHw9vbm/1eQUEB9u7diz/++APz58/Hy5cvERgYiFatWpU5qSCTmpqKcePG4eDBg7h27RoyMzMRGRkJe3t7REZGorCwEIGBgVi8eDGio6MxevRozJo1q8L+boQQQgghhBBCiKZU2ogFALCwsECDBg0AAObm5sjLy0NaWhrc3NwAAEVFRWzEgUxqaiqMjIxgbm4OAHB2dsby5cuRn5+PO3fuYObMmezPvnv3Dq9fv2Z/TiQSwdjYGO3atcPNmzdRq1YtTv2sV68e248GDRrA2toaANCoUSNkZGTg8ePHePLkCSZOnMi2efv2rSp/EkIIIYQQQgghpFKp1BML1apVY/8tEAhQq1Yt9O3bF4GBgQCA/Px8SCQSuTYCgUBu7YlQKAQASKVS6Onp4eDBg+z3nj9/jjp16sj9nOxndXV1OfdTT09P7uuS25Jtz8TEhN23RCLBf//9x3n7hBBCCCGEEEL4qcw5Cj53lXopRGlOnTqFV69egWEYzJkzB1u3bgVQPJiXSCT47rvv8N9//yElJQUAcPToUQBArVq10LRpU3Zw//fff2P48OHsdo8ePQqGYZCZmYk7d+6gdevWEAqFEIvFvPtsZmaG3NxcXLlyBQBw4MABTJ8+nfd2CSGEEEIIIYQQbavUEQsfq1WrFiZNmoSRI0dCKpXif//7H8aPHw8AsLGxwfjx4/HHH39gyZIl8PHxgUgkklsqERERgTlz5uCPP/6Arq4uli5dCoFAAACoUaMGBg4cCLFYjHnz5qFu3boQCATIy8uDj48PIiIiVO63np4eli9fjtDQUHz48AEGBgYIDw/n98cghBBCCCGEEEIqAQFD8SCV3uImI3i15/sGv9Hht4Uinj0wYAS82o9p/JRXe8Odi3m1B4DV3Zbwai9R/CPlEvP7E8JemMOr/RFJHV7t+YZW8f0MFgj4tS/kuX99nn+BfoUFvNov1uX3Cewu5Zavpiz6arhKved5DPBsjudCKa/2Ojx78AH89s/3LdDj2X8Dht8xYMjzJJoges+rfTuJvuIfKsdbnifBBjyDL//V5ff5AYDnKOTVvi3Pv2E+z79hHZ5/gltCfr+/hVRP8Q+Vw4Bn/5+I+J0FqvO8l2v7nt+H+Kq+UPEPleOtgN8fMBv8+t+tqJriH1Jg6M15vNrr1jPj3YfKQFfvG213gbeiwkxtd6FUn1XEgrakp6dj8uTJpX4vJCQErVu31nCPCCGEEEIIIYQog56oVxyaWOCgSZMmckkfCSGEEEIIIYQQUuyzS95ICCGEEEIIIYSQyoMmFgghhBBCCCGEEKIySt5ICCGEEEIIIYQQlVHEAiGEEEIIIYQQQlRGEwuEEEIIIYQQQghRGU0sEEIIIYQQQgghRGU0sUAIIYQQQgghhBCV0cQCIYQQQgghhBBCVEYTC4QQQgghhBBCCFEZTSwQQgghhBBCCCFEZTSxQAghhBBCCCGEEJXRxAIhhBBCCCGEEEJURhMLhBBCCCGEEEIIURlNLBBCCCGEEKJBEolE210ghBC1ookF8tm6e/curly5gqSkJFy+fBn79+9XehsZGRk4e/YsJBIJnjx5onT7w4cPY+nSpSgoKEBMTIxG2l+8eBG3b9+GWCzG0qVL4enpiY0bN2rtJiU3N1eldoWFhTh16hRiYmIQExODAwcOYPny5WruXdnu37//yWs3btzQWPvSvH//XuHPvHz5EgDw9OnTUv9TRmFhIdauXYsZM2bg7du3WLVqFQoLCzm3HzBgADZt2oSsrCyl9qsu2dnZ2L59O1atWiX3nyIf/7yy7ZOSksr9r6JlZ2erdXuqnscq4hggnxdVrqFlnbtUOYfl5+dj586dAIAXL15g+fLlKCgoUGobfK/jqrKxsUFwcDBu3rypsX1+7Ny5c3JfMwyDP//8U0u9UU10dPQnr8k+E5+DyZMnf/LayJEjObcPDg7+5DVfX19efSJEVSJtd4CoJjc3FxEREUhPT8eKFSsQHh4OPz8/1K5dm/M2jh8/jvXr1+PNmzcAii8oAoEAp0+frqhuq01gYCASExORm5sLMzMzpKSkoH379hg0aBDnbcTGxmLt2rUoKChAZGQkhgwZghkzZmDAgAGc2i9atAjPnz9HcnIyxo0bhwMHDiAlJQV+fn4V1j4iIgLXrl3D27dvYWRkBENDQwwdOhTHjx/H/PnzMWvWrHL3qWjQ07FjR059B4B79+7B29sb79+/R2RkJEaMGIFly5bh+++/59R+6tSpyM3NRXp6OiwtLZGQkID27dtz3v/jx4+xY8cOvHv3DgzDQCqVIiMjQ+ENxdWrVyGVShEYGIjQ0FAwDAMAEIvFmDNnDk6cOFGh7WXOnDnD3szK+l9QUIDLly+X2y4wMBDr16/HiBEjPvmessfvvHnzULduXdy9exdCoRDp6enw9/fHokWLOLVftGgRjhw5And3dzRq1AiOjo6wtbVFzZo1FbZVxzls3LhxaN68Ob755hvObUq6desWnj9/Djs7O4hEIpw6dYrTtlasWAEAyMnJQXp6Otq3bw8dHR1cv34dzZs3x549e1TqD1fdu3fHlClTMG7cOAgEAl7bUuU8pI5jQNXjV50ePnyIvXv3fjI5umDBAoVtW7RoAYFAwP7usvdBdh29d+9emW1nzpxZ7ra57F8dbty4gfXr18u9B0+fPsWZM2c4tVf1GjpixAi5v11Jyp7Dpk2bhu+++w4AULNmTUilUsyYMQMrV67k1F7V67g63sMjR47g5MmTWLJkCV68eAF7e3s4OjqiSZMmnPqujmNo8eLFiI+Ph5+fH54/fw4/Pz/UqVMHY8eOVdi2oKAAq1evxvHjx/HixQvo6OjAyMgI3bt3h5eXF2rVqlWh7bds2YK3b99iz549yMzMZF8Xi8U4cuQIhg8fzu2PoAJ1vP+TJk3CvXv3kJWVhd69e7OvSyQSNGjQQGH7gIAAPHnyBHfu3JGb5BWLxcjLy1PYXiYzMxOBgYHIzMzEjh07MH36dMyfPx8mJiact0GIDE0sfKZmzZqFLl264NatW6hRowaMjIzg4+ODDRs2cN5GeHg4Fi5ciEaNGim1b0VP9CZNmlTu99VxQr548SJOnDiB4OBgeHh4oKCgAGFhYQrblbRx40bs3r0bI0aMgKGhIaKjozF69GjOEwt//fUXoqOj4ezsDAMDA2zevBmOjo6cJxZUaX/u3DkcPnwYOTk5+Omnn5CYmAgdHR10794dTk5OCve5evVq3LhxA23atPnkpk4gEGDbtm2c+g4AISEhWL16NaZNmwZjY2PMmTMHs2fP5hw5kpqaipMnTyI0NBQuLi7w8vKCl5cX5/1PnToVNjY2uHr1KpydnXHq1ClYWFgobHfx4kUkJiYiKytLLkJCJBJh8ODBFd5eZsGCBQgODsbmzZvh6emJuLg4Tk/a1q9fDwCcb/7Lk5ycjOjoaJw/fx7Vq1dHeHg4HBwcOLe3sLCAt7c3vL29ceXKFcyfPx9z587l9NRaHecwQLVBmOwcNWTIEERGRqJ69eoAip8SeXh4KGy/fft2AMUTG6tWrcK3334LoPgGLSgoSGF7vudQExMTPHjwAM7OzvD29kaPHj0U7rMsqpyH1HEMqHr8KnqizOU8KDNp0iT069ePHZgqIyUl5ZPXZJMKivz4448AgPj4eOTn58PR0REikQixsbEKB1MAMGrUKEil0jK/z/U87u/vj7FjxyI6Ohru7u44efIkWrZsyaktoPo1tOS5q6ioCLq6uigqKkJhYSGnScmSnj59inXr1gEADAwM4O3tzfkaDqh+Hef7HgJA7dq14erqCldXV9y+fRuzZ8/GmjVrcPfuXU7tVT2GSjpw4ABWrVoFe3t7SCQSzJw5E7a2tpzaTp8+Hd9//z127NiB+vXrAyiOqIuJicHUqVOxcePGCm3ftGlT3Llz55PXq1WrpvB+kO8xpI73PywsDDk5OQgNDUVgYCD7ukgkgqGhocL2EydORGZmJkJDQ+WuGUKhEObm5pz6AABBQUEYO3YsFi9ejPr168Pe3h6+vr6fVdQHqTxoYuEzlZGRgcGDB2P37t3Q09ODt7c3HB0dldpGkyZN0KFDB+joKLciRiwWY+vWrRg9erTSbQGgffv2WLBgAWbMmIFq1aop3R4AjIyMoKurC3Nzc6SmpqJ///5KzdACgI6ODgwMDOS2qczvI/tZ2Y1kYWGhRtoXFhbi66+/hq+vL/vz+fn5EIvFCttu3LgRHh4eGDlypNwMuSoKCgrkLl5dunRBeHg45/aGhoYQCAQwNTVFamoqnJycUFRUxLl9UVERpkyZArFYjJYtW8LNzQ0uLi4K28nCDmNiYpQahKirvUytWrVgZWWFa9euIS8vDz4+PujXrx/n9rKnC7m5uXKTRMoMtAUCAQoLC9nP4OvXr5V6Ai6RSPDXX3/h6NGjSEpKQteuXeHv78+prTrOYX369MG+fftgZWUFoVDIvs51svTj37eoqAg5OTmc9//06VN2UkG2Xy6h3HzPobJJoEuXLmHlypUIDw9Hv3790KFDBzRo0ACmpqact6XKeUgdx4Cqx++lS5dw8uRJ2NnZlfp9Zfrz1VdfKZzEUSQhIQFLly7Fnj178OjRI4wbNw4RERHlRl85OzsDAHbt2oXIyEj27923b1+4ubkp3Oe4ceMwdepUhIaG4quvvlK573p6enBxcUFmZia++uorLFy4UKmJRb7X0GPHjmHNmjU4fPgwnj17Bnd3d8yaNQt9+vThvA2BQIDU1FR2cujBgwcQibjf2qp6Heb7HgLFS5qOHTuG2NhY5Obmwt7entNSLBlVj6GSnjx5gmvXrsHU1BTPnz9HUlISunXrxk62lufRo0dYvXq13GsNGjSAp6cn7O3tK7y9jY0NbGxs0Ldv308G0oqWFfI9htTx/hsYGMDAwABr167F3bt32cgTiUSCCxcuKIzANTExgYmJCQ4dOoScnBw2+lEikeDevXuwtrbm1I/Xr1+ja9euWLRoEQQCAdzc3GhSgaiMJhY+U0KhEHl5eezF8PHjx0rfoI4ZMwYeHh7o2LGj3E25ohstLy8vvHz5EtWrV8e4ceOU7rurqyvS0tKQkZGB6dOnK90eAIyNjbF+/XpYW1sjIiICAJRaGw4UP23dsWMHxGIx7t27h127dqFFixac29vZ2cHLywu5ubnYsmULDh06xOliyKf9sGHD4OjoiNjYWLi6ugIArl27hunTp8PT01PhPnV1dTF//nzs37+f98RCnTp1kJKSwn4GDx06pFQYu4WFBYKDgzF06FBMnz4dWVlZpYbGlqV69eooLCxE06ZNkZycDEtLS6X6365dO4SEhKgcRsq3vb6+Ph49egRzc3MkJibCyspKqYkVLy8vWFpawtLSUuVweA8PD4wePRovX75EaGgo4uLi8Ntvv3Fu36NHD7Rt2xYODg4ICQmBnp4e57bqOIe9e/cO8+fPx9dff82+pkwotaurK1xcXNC9e3cAxU9SlVnb+v3338PX1xd9+/YFwzA4fPgwp88h33OojLW1NaytrfHvv/8iLi4OW7duRUZGBo4cOcJ5G3zOY7169UJYWBgSExMhEonQuXNnTJgwgdOgRNXjNzw8HLm5uejQoYNSS99K4+zsjKVLl8LKykpuMKrMkrCwsDB2QtXMzAwbNmzAjBkzcODAAYVt8/LykJOTg7p16wIA/vvvP7x7905huy5dumDChAk4d+5cqeuruapWrRpycnJgamqKmzdvwtraWqlcPXyvoWvWrMHmzZsBFD/oiIqKwpgxY5SaWPD19cWYMWNgbGwMoHiQJLsn4ILvdVzV9xAozlHTt29f+Pn5oXXr1pz3KcP3GggUL0vx8fGBs7MzCgsLsXTpUtjb23M6h9atWxfHjh3Dzz//zJ67GYZBbGys3Dm5otrLpKWlwcvLS6llheo6hvi8/zJ8l/auXLkSW7ZsgVgsRp06dZCVlYVWrVph3759nNrr6+vj+fPn7LX4ypUrSl3LCSlJwChzJ08qjfPnz2PJkiV49uwZOnTogBs3bmD+/PmwsbHhvI0hQ4bA1NT0kzXFXJ7gvH37FnFxcSo/rSosLERSUhK6dOmiUvu3b9/i3Llz6N+/P7Zv346LFy9i5MiRsLKy4ryNd+/eYe3atbh48SKkUimsrKzw22+/yT2BUeTChQty7Xv27KnU76FK+4yMDNSoUYO9kD1//hx5eXlKhUBmZ2ez7VWVnp4OX19f3L59G/r6+vj2228REREBMzMzTu0lEgmuX78OS0tLnD59GpcuXYKbmxuaN2/Oqf2OHTtw5swZLFq0CIMHD8a3334LqVSKTZs2cWo/cOBA2NjYID4+ng0jNTc3x5w5czTSPjExETt37kRERASGDh2K9PR0DBo0iHPSJWdn51KTVinr33//RUJCAiQSCX788UelBgY5OTmoU6cOcnNzlZpUAtRzDrO3t8f+/fuhr6+v1L5LunPnDhITEyEQCGBtba3U719YWIgdO3YgMTERANC5c2cMGzaM0xNTPudQFxcXTgNXrmTnIYZh0KlTJ87nsSlTpsDExAQDBgwAwzA4cOAAXr9+zSlHB5/jNysrC4cPH+a0Drw8fn5+uHbtGjsoBZRfEtavXz/ExsbKvTZgwAAcPHhQYduYmBgsWrQI7du3B8MwuHHjBgIDA/Hzzz8rbMswDB48eIBmzZpx7uvHjh07hr1792LlypVwdXWFjo4OWrRogcWLF3Nqz/caamdnh+PHj8u95ujoiEOHDin1exQWFuKff/6BSCSCmZmZUoMiiUSCixcvqnwdL+09nDVrFqflBBKJBB8+fEB6ejq+++47FBQUoEaNGpz3zfcaCBTfP3y8nv/mzZto27atwrbPnj3D3LlzkZSUhFq1akEgECAvLw+WlpYICgpSGDnGt73MTz/9VOqyQkXL0tRxDPE5hmV69epV6tJerg8pevXqhUOHDiE0NBQTJ07Ew4cPsWvXLs7LCm/fvo3AwECkp6ejSZMmyM3NxbJly9CuXTvOvwMhMjSx8JnKzs7Grl27EB8fD6lUijZt2qB+/fpKhXWq++a0pMjISKXWm39s5cqVpWbKrWxSU1PZ5JcyyjztUrV93759cezYMc77UXf7kt69ewepVKrUhIy6vH37FgYGBnj+/Dlu376NLl26cL4xc3BwwOHDh7FkyRJ0794drVq1gouLC44ePaqR9h9TdnAeEhKCzp07o2vXrko/XVDXOvWUlBR4eXmpnMAzOzsbt27dgkQiQdu2bVGvXj1O7WQmTJiAefPmyQ0MvxSaPIempKQgMTERurq66NSpE+fJwdIG0LLjggs+x29KSopSk0ClUaavZZk0aRK+/fZbDBgwAAKBAEeOHMHjx485V7jJysrC9evXIRAI0KFDB05rq2WWLl0Kb29vVbsO4P/zQrx79w6PHz9GixYtlIocKioqwoMHD6Crq4umTZvKRT8qEhAQgIKCAjg4OEAgECA2Nhb6+vqYN28e523wTQKrjglaVd/DS5cuISgoCBKJBJGRkbC3t8fixYvRtWtXzvtW9RiSnR/KynmlzJI6sViM169fQyqVwtDQUG5ilct5jG/7gQMHIioqCmvWrEGrVq3QvXv3Uif8KgqfYxgofsi3Z88ebN26FfXq1UP//v2VmmCTtd+0aRNMTExga2ur9LmtqKgIjx8/hkQiUXpyjpCSaCnEZ2rcuHH47rvvlH5CXlKXLl2wY8cOdOvWDbq6uuzryiZzLM2ePXt43RSfOXOmwicWtmzZgjVr1rC5Gbhk8y7J29sbd+/ehZGREfuaMk+7+LRv0aIFYmJi0KZNG7mntVzfO77tgeJwua1bt36SUV2Zp318ySYzGjRowCmLckl8w0jVEYZakrJP/I8fP44dO3YolY1eJiEhodzvc51YCA4OVjmB58driVNSUqCvrw9zc3POUQtFRUXo378/LCws5M5hij6DivIgqOMcyJemzqHbtm3Dzp070atXL0gkEmzZsgWenp7sGuLymJqa4tq1a2w+gZSUFDRt2pRzH/kcv97e3rwnRy0sLHhPUISGhmL58uWYNm0aRCIROnbsiJCQkHLbiMVi7Ny5E8+ePUOfPn3knm4qMyEUHx8PLy8vXpVBZG1r1KihVOJGoDjqysfHB4aGhpBKpXj37h0WL17MOax/9uzZ2L59OyIjIyESiWBpaYlhw4Yp1Qe+SWDr1auHK1euoE2bNioPpoyMjJR6Qi2zZMkS7Nq1C+PGjUP9+vWxc+dOTJ06VamJBVWPIdnkrywJIR8ikYhNvvgxLucxvu1VWVbYq1evUo8brtXR1HUMA/yX9hoYGCAmJoZNhGlkZMSpdLUMn+o4hHyMJhY+Y/Pnz+fVXrYOt2TYnLrKTfINhCmrvb29famZ81Uplblt2zbExMSoPIhISUlBbGysUk9o1NX+5s2bn9S+Vub359seKA4jnjRpktJ/v65du+LVq1efvM51YKyukpmOjo7w9PRkw0gvXLig1JNvVdvzrQgg89dff5X5vfj4+HInHcu7YVDmhoRPAs/09HSkpaWhf//+AICTJ0/CwMAAV69eRWJiImbMmKFwG1zyipRmwoQJePz4MYyMjEqtjqLoOFDneagsFXUO/di+fftw4MABdoDy22+/YcSIEeVOLMhuyj98+IATJ07AzMwMOjo6ePjwoVwyy9Ko6/ht1qwZVq1ahbZt28pNjioTMfbw4UM4Ozujfv360NXVVen9q127dpkh1xMmTGCruJQUFBQEqVSK5s2bY8aMGXBzc2M/y8pMqtepUwd2dnb4/vvv5RIhKxoQqCtiKSwsDBs2bGATJ96+fRtz587lXBlIT08PY8eOLXVJC9dIAr5JYG/fvv1J6V5NXYekUqncgJprSL469t2rVy8AxX/nt2/fIi8vj/c5pzSaOI95eXlh2bJliIiIwIYNGxAZGakwP4Gsso+q1HUMA8WTk+fOnUObNm1ga2uLI0eOcF5SKWt/9OhRODk5IT4+HkFBQUpV2OJTHYeQj9HEwmeKbzZ0QD3l6srCt7Z6We0XL16McePGYcmSJWjYsCGvfZiZmSkdel1S27ZtkZaWxjlsWJ3t+b536njvjY2NVVoffuDAAXh4eGD16tUqrW1UV8nMESNGwMnJCQYGBti+fTsbRgooHpjzac+3IgAXK1as4BTNdObMGSxbtkwuAeX79+9x6dIlTvvhk8Dz0aNH2LlzJ/uUcMiQIXB3d0dkZCQcHR0VTiy8efMGz549w4sXLyAQCGBkZARra2u5CKCy7N69G8OGDcPs2bPRoUMHTv0tSZ3nobJU1Dn0Y9WrV5eL9qhevbrCJ7d8bsrVdfzm5OQgISFBLvpG2fwIH2ekV7cXL16U+vqdO3fYMGcnJyeMGjUK+vr6GDVqlFIDMS5RJaVRV2UNhmHkBiOtW7dWKvmjom1zwTcJbHkJ/sqjjs9xgwYNEB8fD4FAgDdv3mDnzp2c7uHUWTZ6/fr1WL9+PerUqQOBQKDWyVFZfyq6/Y8//shGXhw4cEBuWWFZ0QOy3GKTJ0/GypUr5b43cuRIbN26tdx9qusYBoojDmQT7O7u7nB3d2e/x2WCzdjYGGPGjAGAT8qkljW5WZI6quMQIkMTC58pvtnQP1ffffcdpk6dim3btmHFihW8tuXh4QEHBwe0bdtWbnKGa/iXlZUV7O3tYWRkBKFQqPQFmU/7j9dFCgQCNozc1dVV4cCAb3ug+AI4ffr0TzKqK7opNTY2hr+/P1asWKHSe6jOkpllhZFyHZir0l5dFQHKw/XGZsGCBaUmveJqzpw58PX1xf3799GhQwc0bdqUU+I+oHhiQCwWs5+1wsJC5Ofnc+r/qVOnsHDhQnTq1An16tUDwzB4/PgxVqxYAS8vL4Ul8wwMDBASEoJ9+/apNLGgzvOQtsgiZ+rUqYOhQ4eiX79+EIlEOH78uMLlDCUT/h4+fBj//vsvPD09ceLECYXHv7qOX75PHOPi4vDs2TPY2NigcePG7Ot8c1uUVNagiGEYvHv3jk3Cu3HjRgwdOhR169ZVaiDWqVOnT/bHpYQz38oasifmZmZmCAoKwqBBgyASiXD48GGVqhuUhuvfYcqUKXB3d8ezZ8/w66+/sklguSooKMCqVatw6dIlSCQSWFlZ4ffff1eYp0Adn+N58+YhNDSUDae3srLilF9CndfAffv2IS4ujncy58qk5OR2WdEDkyZNwr1795CVlSX3N5RIJJyWlKjrGOayHz7KmtwsSR3VcQiRoYmFz1R8fDwuXbqkUjZ0dYVBaouTk5NS5ajKsnjxYjg4OHxSFYOr9evXY+vWrSovpeDTXigUIjc3l32vYmNjkZ+fDx0dHcyePVvh5Ajf9kDxk4EPHz7g6tWrcq9z+fz06NEDPXr0UPhzpVFnycyyVHT45syZMxEXF8drH+XhemNTq1YtWFlZ4dq1a8jLy4OPjw/69evHeT9NmjTB7t27VUrgOXz4cLi4uMDGxgZSqRTnz5+Hu7s7tmzZorAyyOLFixEZGfnJzXB2djaGDx+ucGIBANq0aYM2bdpw7u/H1HUe0jbZ30C2BEaZ9d2LFi3C8+fPkZycjHHjxuHAgQNISUn55KlZSeo6fj08POS+lk2OmpmZwdPTs9zImUWLFuHOnTswNzfHkCFDMGPGDAwYMAAA/9wWXMiWmsyZMwfW1tYwNjbGxo0b8csvv5S6TKwsv/32G+7fv4/mzZuDYRjcv38f9evXh1AoRHBwcLl17OfNm6dy4sqPJ9NKlndU56CKi/r162PTpk1sEth58+YpFYk4b948VK9enZ2M2Lt3L2bPnq2wZKU6PseGhoZYsmQJ3r59C6FQyKlMq7r2LdOwYUOl8/t8Tsq6FoeFhSEnJwehoaEIDAxkXxeJRJySL6rrGFZEExEf169fx7Vr13Dt2jW5dprMl0W+HDSx8Jn65ptvkJubq9LEgrrCIMtTq1YtXu1LrtsuTWhoKO/EMnp6erzCv77++mtYWlqqfOLn0/7evXtyFT169eoFV1dXLF++nNP6Ur7tgeJ6zXyyaY8dOxZ//vmnSm1NTU15l5orT0VfzA0MDFCnTh1e+1AHVZJelfT8+XOEhIQgKSkJIpEI1tbW8Pf35/T0a/DgwXjz5g0EAgG++uorDB06FC9fvsSAAQMUJnATCASlnmNq1qzJOWfJvXv38OzZM3Ts2FFuW1yWwQBl37C+fPmyzERkyqjocyiXc5+iMNq//voL0dHRcHZ2hoGBATZv3gxHR8dyJxYA9Ry/5ubmEIlEcHFxAVCcM+j58+cwNjZGQEBAublMzp07h+joaIhEIri7u2PMmDHQ09ND3759K2Sd+ccGDx6MTp06yUWGmZub48iRI5xrzwPF0V/BwcFo1aoVgOIqQ6tWrYK/vz8mTZpUbtUnIyMjlcs9c4kW0VRlJ1kST2XK1JaUnJwsl30/KCiI8+SqqakpfHx8VNovUPx++fn5sclkzczMEB4ejiZNmnDatzqugU2bNsWwYcM++TyqKzSe73mMb/uyrsUGBgYwMDDA2rVrcffuXXY5oEQiwYULFxRG8qjrGK4MkpOTcfLkSW13g3whaGLhM6VqNnSAfxikWCzG/v378dNPP6FWrVrYsGEDbt++je+//x4TJkxAtWrVyu1HXl4eVqxYgefPn6NPnz7skyKgOMNzcHCwwnDqf/75B/n5+ahZs6bS/Zfp0KEDwsLC0L17d7m/Idfwr6ZNm8LNzQ2dO3eWa8/1gsyn/bt37+QGMK9evcKHDx8AgNMaV77tgeInnfHx8ejevbtKCSgLCgrw7NkzldeoDx8+XG0lM7UhIiJC5ZthdVEl6VVJ/v7+6N27N8LCwgAA+/fvx8yZMxWu6QSAadOmITc3F+np6bC0tERCQgLat2/PqaqAq6srBg8ejJ9++gn169eHQCDAy5cvcfLkSU7937p1K/bu3YvGjRtj1qxZWLRoEft0l8symMuXL2P69OkoLCzE//73PyxcuJBN3Dl+/HiFE25SqRTbtm3D6dOn8fLlS+jq6qJJkybo168fu9a2os+hXCgKo5WtZZfdvBcWFnJe3873+L158yaioqLYr1u0aAEXFxcsWrRIYVSebNkZUHweXr9+PUaPHq2xMOZbt26xkSKXLl3CuXPnIBKJYGtri1GjRnHefmZmJjupABQv0UlPT0fDhg0hlUoVtldHZY2y8K3sxHWCh28ST4Zh8ObNG3z11VcAipdocb2eyZbT9OjRQ24ygOtymtmzZ8PLy4uN3jt16hT8/f2xY8cOTvtXxzXQ2NhY5XK9fO8Fuajop+aBgYFITExEbm4uzMzMkJKSgvbt2yu8jqjrGK4M1FEdhxAZmlj4TKmaDV2GTxikr68vAODnn39GeHg43r17h2HDhuHs2bPw9/fH4sWLy20/c+ZMNG/eHJaWltiwYQOuXLmC4OBgAMUJcbjQ0dFBz549YWpqKremVJmLUHJystz/A8qFfzVq1IhXWTo+7SdPnoyBAwfihx9+gFQqxZ07dxAQEICVK1eic+fOFd4eAE6fPo3IyEiVyh0CxWHrvXr1gqGhIapVq6Z0jgp1lMzUpsaNG2PmzJmf3BCrI2KI6015yaRX+/fvx5s3b5QKi5UtPZAZNWoU5yiW1NRUnDx5EqGhoXBxcYGXlxfnTNZjxoyBpaUlzp8/j1u3boFhGLbcJZflDfv378f+/ftRvXp1XLt2DVOmTMGyZctgaWnJ6W+3cOFCbN++Hd9++y3++OMPjBgxAjt37iy1ykRpwsLCUFRUhF9++QUnTpxAixYtYGRkhB07duDx48f47bffym2vjnMoF4oG2XZ2dvDy8kJubi62bNmCQ4cOwd7entO2+R6/RUVFuH//PiwsLAAA9+/fZ5OPKoq6sbOzg7u7O/z8/NCmTRtYWFhg+fLlmDRpklJl3sry/v176Ovrl3ksz549G9HR0di5cyf27NnDRl3MmjULrq6un1QpKEvjxo2xaNEiDBgwAFKpFEeOHMG3336L69evc5rgUUdljbLwjfyYMGECp5/jm8Rz1KhRGDRoEFsl4cyZMxg/frzCdiWX06xbt06l5TQfPnyQWxL4008/KZVQVB3XwPIeZCiKWOJ7L6iuCjF8XLx4ESdOnEBwcDA8PDxQUFDATpSXRx3HsCxHQ3k0UVVDHdVxCJGhiYXPFN/aw0ZGRiqH0f3zzz/spMTVq1cRHR0NgUCAHj16cAohzMjIYMNUe/TogQkTJiAsLAx+fn6cT6J8wg9lygvn5BLGyeeCzLd9v379YGVlhatXr0JHRwfz5s1D3bp10bFjR7l1chXVHuBX7hCAyssgZNRRMrMsmriYyxKvfvw7cJ1YyMnJwd27d9G5c2esX78eycnJmD59Opo0aYLIyEhO24iPj8eVK1fw66+/YtCgQcjOzoavry8GDhzIqX2bNm1w9OhR9il7fHy83BPU8hgaGkIgEMDU1BSpqalwcnJSahmGmZkZWrRoAT09PaSlpeHevXtKTYrI1jO3b98eS5cuhZeXFzZt2sTpibVUKoWpqSmA4ggFWdm83bt3c2p/+fJlNvy6W7duGD58OHbv3o1evXrB0dFR4cSCOs6h6jB+/HhcuHABjRo1wrNnzzB58mROy0gA/sdvYGAgxo0bB0NDQ0ilUrx58wYLFy7EypUrFR5DkyZNQocOHeQi3jp06ICoqCi58stcnDlzBkuXLkVBQQFbWaWgoACXL19W+ORy79692LZtG3suGDRoEAYNGsR5YmHhwoVYvXo1pk2bBqFQiM6dO2P+/Pk4c+YMpySA6qisURYux0Hnzp3x+vVr6OnpQSgUsoljZQObvn37KtwG3ySeLi4uaN26NZKSkiCVSrFq1SqFOV4AfstpZEsfWrRogQ0bNmDQoEEQCoU4fPgwLC0tOfe9Iq+BgOKIJb73guqsblEWRUvCjIyMoKurC3Nzc6SmpqJ///7Iy8vjvH0+x/Dw4cMRHR2NOXPmlFleksskV0lv377Fs2fP2AlXLvcT5U1mJScn4/vvv1eqD6Rqo4mFKqi8taeA4lD8GjVqsE+KzMzM8OzZMzRq1AgvXrzgVE0A+P91yPr6+li1ahWGDx+OdevWcQ5D/fjnZNmwS4Y08sE3jJNLJl6+7evWrYuffvpJ7rU6depg5cqV7NOXimxfHi7h5KU9rdDX10d+fj6nGzu+JTP5Dsz5tuebI2TatGlsdMnx48cxcuRIBAQEYPv27ZwywwPF54LQ0FDExsaiTZs2CAoKgru7u8KJhRYtWrClyfbu3YvAwEDo6OggPz8ftWvXRmhoqMJ9W1hYIDg4GEOHDsX06dORlZXFeVB88OBBREREYNeuXbh79y7Cw8PRtm1bLFy4EJMmTVLY/w4dOsDb2xu//fYbmjVrho4dOyIoKAijR4/mtBSoXr162LVrFxwcHFCrVi2MGjUKWVlZGD16NHJzcxW2l0gkePXqFQwNDfHy5Us2cWJRUZFcVu7y8D2H8lHy2NXX15c7XyQlJXF60sj3+O3UqRPi4uLwzz//QEdHB+bm5tDV1UX79u2xd+9ehe1LS2zYsGFDBAQEKNUPVSqriMViSKVS1KlTR+6aqaenp1SpRAMDA/apcUmOjo6cJrf5Dsr56tu3L1q3bs0OfuLi4nD69GlO50Z3d/dyP+tcB6WpqalYt24dli5digcPHiAoKAjBwcEKy0DzWU4zYsQI9vyZkJCAPXv2sN8TCARyyQTLU5Elw2V9KQ/fe0F1Vbd4/PgxduzYIVc2OSMjAzt37lS4JMzY2Bjr16+HtbU1m7CTS9SSOo7hgoICTJ8+HRcuXGCXopa0YMECThM0+/btw9WrVzFjxgw4OTmhZs2aGDBgADw9PTktyygvgXlgYCCvXFqk6qGJhSrs1q1beP78Oezs7CASiXDq1ClOFRL8/PwwevRotG/fHtWrV4ebmxvatm2L5ORkzJ07V2F72Y3/7Nmz0adPH9SqVQt//vknJkyYgNTUVE59X716Ne7cuQNra2swDIPExER88803ePv2LX7//XfO4bhl4fvUT1M16Eujiaft6tjG6dOncffuXTaz/tmzZ2FkZIR3797BwcFB4QWRb8lMvgNzvu1tbW3lBrEls9r7+voqPBZzc3MxduxYBAcHw9nZGU5OTio94WnRogVWrlwJR0dH1KxZk1PUQEpKisKfURS1MmfOHFy/fh3NmjXD5MmTcenSJYWhszLr1q1DTEwM6tWrBy8vL+zevRsNGjTA69evMXz4cIUTC0FBQThw4ADevXvHvmZra4sGDRpg3bp1Cve/YMECLFy4EPXr12cn52bMmIEtW7ZgzZo1CtuPHTuWXYp08+ZNTJs2DWlpaRg1ahSnHCvqOIdyUdZxLKsKkJOTgydPnuCHH36Ajo4Orl+/jubNm8sNlMqijpK3IpEILVu2/GQ7mqjsIKNKZZU6deqw+VWCg4MRFhaGS5cuISIiosykysriMjnNp7KGOly9ehWzZs1iv+7Tpw/npQCyif+9e/eyy05EIhGOHDlS6iCtLLNmzWKPOXNzc/z6668ICAjA7t27y23HZzkNlwkBLnka1HEM8cH3XlBW3eLAgQO8JhamTp0KGxsbXL16Fc7Ozjh16hT7xF6R0NBQnDt3Dm3atIGtrS2OHDlSZvRASeo4hjdv3oyEhARcvXqVVxTy7t27sW7dOhw5cgS9e/dGQEAA3NzceC+ZBtRzP0iqFppYqIJkF9EhQ4YgMjKSDQkeOXLkJzcapfnhhx9w/PhxXLx4EWlpaTA1NUW9evUwa9Ystv5veeFTsnrNYrGYfa1+/frYv38/5xl4hmFw6NAhdi3hixcv4O/vj+3bt8Pd3Z33xIKmS2apkzYnNZTZxsuXLxEdHc1GmEyePBmenp6IjIzEwIEDFU4s8C2ZyXdgzrd99+7dYWJiwiaJOnToEG7fvo1evXohICAAW7ZsKbe9LDdGXFwcduzYgXv37nFOvClTr149BAcH486dO4iIiEBYWJjaclQoiloRCoVs2G/v3r2VurHU19dnQ09r1arFJiH9+uuvOT0t0tHRgaur6yevt2nThp0YcHZ2LvNJTf369UstRzdq1Cj2cytLolga2aRCamoqvLy80LRpUxQWFiI6OpqtFlLR51AuygqjlT3pHjduHFatWoVvv/0WQHEywaCgIE7bVkfJ27Iouhnu2rVrqSXhlM0TA6hWWUX293v48CHevHkDoPhJ55QpU9SW0JXLOZhPZQ0u21akRo0a2LdvH/r16weGYRATE8M5kaBsIBYeHi5X/aJdu3acl3IBxU+Nu3fvzn7dpUsXhaUmAW7LafhUiOEyOVaRxxAXfO8FgeLqFtOnTy/z+1xC8YuKijBlyhSIxWK0bNkSbm5u7GdaEQMDA3Ypn7u7O9zd3dnvlXcNUMcx3LBhQzg5OaFFixaQSqVo2bIl8vLy2IdmyjAyMsK5c+fg4eEBkUik1ORaeT7ne2GiJQypsmxtbZmCggL267y8PMbW1lYt23ZyclLLdspiZ2f3yWv29vYMwzDMgAEDeG+fb/+12V7bfee6DVtbW0YsFrNfFxYWsu+ho6OjwvYDBw6U+1oqlTIuLi4MwzCMg4ODwvbOzs7M7du3me7duzPp6enM3bt3Oe1XXe1L+xs5OzuX+b2PXbx4kXF3d2c2b97MMAzDuLq6MhcvXuS8f4YpPuajo6OZx48fMwzDMDt27GDy8vIYhmGYO3fuKLWtj6njOCzLqlWrmBEjRjBnzpxhNmzYwEyfPp05deoUM3XqVGb+/Plq2Qff/leG47A848ePZxiGYXr27Mn06tXrk/+46Nevn9zXUqm01HNzafgev+VR9Ld7/vw5Y2try9y/f5/XfhiGYRITE5nRo0czHz58YFxcXJi2bdsyYWFhCtvdvXuXOX36NPPmzRu518+cOcO7TwzD7fMjO9+UJHtfuHz+c3JymICAAMbd3Z15/fo14+fnx+Tk5HDu45MnT5hx48Yx7dq1Y6ysrJhp06Yxr1694tyeYRimf//+zMOHD9mvU1JSlPr8eHh4MLt27WLevn3LvH37lomMjGTGjBmjVB/KwucY5vL3r8hjiGsfFNHEedDV1ZX58OEDc+DAAWbLli0Mw3x6blKFot9fXcdwREQEM3r0aIZhGObFixfMiBEjmBUrVnBu7+Pjw4wfP56xtbVlPnz4wPz++++Mr6+vUn0oS0Vfh8iXhyIWqjBXV1e4uLige/fuYBgG8fHxnCIWuGDKeWKkjkzA7du3x7Rp0+Dg4ACpVIqjR4/ihx9+wNmzZxVm2dWE8n5/TbT/HNja2mLkyJHo27cvpFIpTp48id69eyMmJobTUx6+JTN9fHywcOFCjB49Go0bN4abmxv8/Pw4959vex0dHVy4cAHdunUDAFy4cAF6enr477//5J5El8Xa2lruqQaXdeUfMzAwkHsqXbLCA9+1lRX5pOO3336DiYkJIiMjkZ6eDolEgqdPn6Jnz55qK/Wl7Sc1FX0OlUVTbNq0CX/99RdycnI4LYUr6fvvv4evry+bsE6Z5HPqKHmrKmNjY/j7+2PFihXssg5V3bt3D9nZ2dDT08OyZcswduxYNoKjLHzLnaoLn8oaQHFUTpcuXXDr1i3UqFEDRkZG8PHxwYYNGzjt38TEhPPPlsXPzw/u7u4wNjYGwzB49eoV5yVVQPGyprlz52LhwoXQ09ODpaUlpxwxXPC5jnM5/1T0MaTJCkV82js6OsLT0xOLFi3C4MGDceHCBZVLaJZU3nugzmP47NmzOHjwIIDiyIPNmzfD2dmZc56v+fPn4/r167CwsICenh4cHR3lqo0Qokk0sVCF/fLLL7CyskJiYiIEAgGWL1+utjq25Z2Q1ZEJeO7cudizZw8iIyMhFAphbW2NwYMH4++//+YUxqgIlzDOv//+G126dJF77eTJk7C1teV9QebTvjJManDZxrRp0xAfH4+///4bQqEQv/zyC3r06IEbN25wCuHkWzKT78Ccb/uwsDD4+vrCx8cHDMOgSZMmCAsLQ2RkZLkVW2SJE0uS/b2VDeMuT2Wf3BowYABb3q00XJLXVWYVfQ41MjICACxduhRPnz6Fubk5MjMz2e87Ozsr3EZISAh27NjB5lTo3Lkzhg0bprAdoJ6St3z06NFDLTffe/fuxb59+wAUD5RjYmLg5uaGIUOGlNmGb7lTLrhsh09lDaC4OsngwYOxe/du6OnpwdvbG46OjgrbyY7NXr16lfo5V6aqQdeuXXHmzBn8888/EAgE+O6779gEqFzyFDRq1Ig9T+Tl5eH58+dsGD9fFT05yecY4vIeqGOSVhNLM0eMGAEnJycYGBhg+/btuH379if3ZuqmzmNYLBbj/fv37LIartWRZJ9vWV6gktVd7t69yylfjyKV/T6AVD40sVCFFRYW4tmzZ6hbty6A4rVsJ06cwO+//16h+1VHJmCRSIQRI0Z8UtKnR48e5a6LKyk3NxcRERFIT0/HihUrEB4eDj8/P9SuXbvcTMKxsbEoLCzEihUrMGXKFPb1oqIibNiwAba2tuVekNV1QT98+DD+/fdfeHp64sSJE+yNINdSg3zbq2MbPXv2/GRmv127dpzeQ1VLZvIdmKtrYG9hYYGoqCjk5uZCKBTCwMAAQPHT+JUrV5bZjkviRHXQ9hN7vvhWZqnM1JVNHSjOin/8+HGV2urp6WHMmDEYM2bMJ99TdAyro+TtxwoLC6Gnp4datWqp1L4krteRoqIi6Orqsl+X/Hd5+JQ7leE7uc23soZQKEReXh7b58ePH3PKcSKLllFXVQo9Pb1Sy9xyyVNQXkb9yo7PMSR7D/7880+cO3cOly9fhlAoRI8ePZRe369tBQUFWLt2LS5dugSJRIJOnTpV+MQCoJ5jGCjOdzZw4EC2us758+c5TdCqa9AfHBwsl0QVAHx9fREeHl7uvQghpaGJhSps6tSpyM3NRXp6OiwtLZGQkID27dtX+H7VlQm4LFxPtqqGcebn5+PatWvIz8+XmyEWCoXw9vZWuF91hCAvWrQIz58/R3JyMsaNG4cDBw4gJSUFfn5+nCoS8G2vrm2Uhet7qErJTL4Dc3UP7EvLvM6l3Gl2djYOHTqE/Px8uRJbCxcuVGv/VKXtJx18J0YqQ+RPWdR5DjU3N0dWVhYbwaAuXH5/PiVvBw8eLDeBKZFI4OLigsOHD6tUHeVjXN+/Pn36sEu6BAIBTpw4ofA94VvulO/kdkl8KmtMmTIF7u7uePbsGX799VfcuHED8+fPV7jPixcvlvt9Za+HZeHyHlZkRn0+uE6OqXoMyY73devW4cOHD3Bzc4NUKsXBgwdx//59pcuuatO8efNQvXp19rO3d+9ezJ49m3f0anmfH77HcEkeHh54+/YtWxHF19cXQ4cOVdhOFhX1zTfffBJhtnPnToXtAwIC8OTJE9y5cwf3799nXxeLxcjLywMANG7cmPPvQQhAEwtVWmpqKk6ePInQ0FC4uLjAy8sLXl5eatm2ogu6OjIBl4XrgELVME5XV1e4urri0qVLKs3sqyME+a+//kJ0dDScnZ1hYGCAzZs3w9HRkfMaf77t1bWNsmhiUMh3YF6RA3su/ffy8kLDhg1x48YN9OnTB2fPnkXr1q1571tZ6oh8qYzGjx/Pqz3fcH5NnUPfv38POzs7NG/eXK48Hd/BeUWVzPXw8EBiYiIA4H//+x/7ulAoVDgZoQyu/ffx8cHx48eRlJQEkUgEDw8PtoRuWfiWO+U7uc0Fl3NQt27d8P333+PWrVuQSqWYN28e6tWrp7BdyT6XRh1r+wHu72FFZdRX9Dd88+YNVqxYgYSEBIhEInTv3h0TJ06Evr4+7+OP68TYzZs35SKWevXqxbuqlir94NM+OTkZhw4dYr8OCgpSWPK1pFevXuHq1atspSLZZH951wC+x3BJssjZVatWgWEYREVFITMzU+HkzpYtW/D27Vvs2bNH7h5SIpHg8OHDcjmTSjNx4kRkZmYiNDRUbtmEUCjktByYkNLQxEIVZmhoCIFAAFNTU6SmpsLJyYnz2i6gYsOn+CaO40LVME6Zpk2bYtKkSewNpbW1Nfz9/dmlJYrwCUGW9VPW98LCQqX6zre9urZRUbjcUPIdmFfkwJ5L/7OysrBt2zaEh4fD1tYWv/zyC0aOHKmW/QPcbugqMmpF28q7MXV3dy/3Pdq2bRtmzJihcB+V4Rw6YcIEXvupCIr+tkBxxFm3bt3w7t07MAwDiUQid3OtSXZ2dpxr1wP8y53yndzmgss56M2bN1i7di0uX778ycC4POXl0Hn//r3SfeWjWbNmmDBhAjIyMmBtbQ0vLy+0adNGYbunT5+W+/1GjRohMDCw3J/x8fGBmZkZFi1aBIZhcODAAQQEBCiVfLIsXCdVTExMkJaWxiYc/e+//5ROfMj3PMa3PcMwePPmDVu6+s2bNxAKhZz6fvDgQSxcuBAdOnSARCLBnDlzEBISgh49epR7DeB7DJf0999/IyYmhr1/srGxgYODg8J2TZs2xZ07dz55XU9PD2FhYQrbm5iYwMTEBIcOHcKrV69w8+ZNiEQitGnThi17TIiyaGKhCrOwsEBwcDCGDh2K6dOnIysri9NgQhPhU5oIo548ebJKYZwyAQEB6N27N3sC379/P2bOnMk5YRyfEGQ7Ozt4eXkhNzcXW7ZswaFDh5R6ysC3vbq2oU18B+YVPbBXRPZUxdTUFCkpKWjbtq3S2+B7Q1eRUSt8lXcOGTVqFKRSaZnfV/S0kGu27rJUpnPojz/+yGs/2pKdnY3t27drfCmfpnB5//hObvPFd2B85swZLFu2jJ0cklWkuHTpUgX3/P+VllG/e/fuAID4+Pgys/uPGDECAoGg1PdJIBDg9OnTCiukZGZmyt0vBAQEaPwaKhaLMWDAAFhaWkIkEuHq1auoX78+WyGsvHMh3/OYus6Do0aNgqurK3r27MlWOOMacbZ27VpERUWxkymZmZnw9PRUS2JXrudgiUQCsVjMRoxJJBJOEyM2NjawsbFB3759YW5ujtzc3FKXVipy/PhxhISEoH379pBIJAgKCsK8efPY44AQZdDEQhU2Z84cXL9+Hc2aNcPkyZNx6dIlTjcEmgifqqgw2pKsra3Rp08fbNu2DVeuXMGoUaOUuphkZ2fLhZqNGjVKqSgLPiHI48ePx4ULF9CoUSM8e/YMkydPVqq8Ed/26tpGWTQxscR3YK6OgT0fVlZWmDJlCnx9fTFmzBgkJycrfFIoo64busoYtfL+/Xvo6+uXG049btw4TJ06FaGhoexTLmWUHIw/ePAAr1+/VuozW9nPoYq8e/dOYVnfij6G//nnnwpbygd8HjlC+E5u88V3YLxgwQIEBwdj8+bN8PT0RFxcHAoKCtTWPy55CkQikVx51pLLacorG3jmzBne/WvWrBmuXLnCTkCkpKQoLFWqbr/++qvc16UlYi0L3/OYus6Djo6OKCgoYAfW7u7ubGUQRWrWrClX3vqbb77hnIBVEa7nYAcHB3h4eKB///4AgKNHjyp1HBUWFsLOzg7v379HZGQkRowYgWXLlnFeTrxmzRpERUWxD7kyMzMxceJEmlggKqGJhSpMKBRCIBBg9+7dcHFxwVdffYXmzZsrbFcyfCojIwP//vsvunXrhqdPn2osfColJeWT0pjHjx+HnZ0d55nqefPmIT8/H2FhYWzSovnz53NOWtSmTRscPXqUvRjEx8eXmpm6LKqEIJesX6+vry93E5SUlKSwfj3f9urahkxOTg4KCgrYUGZZOKqiEFJFuAwK+AzM1dG+PFxuqry9vZGeno5vvvkGS5YsQVJSEufyUuq6odN21MqZM2ewdOlS9jMklUpRUFCAy5cvl5u8rkuXLpgwYQLOnTvHJlNVRVBQEM6dO4cmTZqwr3Ep91gZzqF8DB8+HNHR0ZgzZw7mzJlT6s/wyVHB5fjlu5RPJjs7Gzdv3oREIkG7du3YHAF8c2xoAt/J7dIoU1mD78C4Vq1asLKywrVr15CXlwcfHx+l1sbL+vvnn3/i0aNHCAoKwpYtWzB+/Hjo6elpJE9BdnY25s2bx1YksLKywpw5czjlmnj48CHc3d3RtGlTiEQiPHr0CF999RVbMUqZspuq9B3gF7HE9zymrvPg9OnT2XxVGRkZ7OtccnW0bt0a48aNg4uLC4RCIY4dOwYjIyPExMRw3gZfnp6eaNmyJS5dugSGYeDp6QkbGxvO7UNCQrB69WpMmzYNxsbGmDNnDmbPno39+/dzai8SiT6ZXOE6MUPIxwSMtqflidZs3boVcXFxyMrKwp49ezBs2DAMGjQIY8eO5dQ+NjYWa9euRUFBASIjI+Ho6IgZM2aUW1ueK0Vr03r16oVhw4bhl19+QU5ODubMmYO0tDSlbqocHBxw+PBh9mupVIoBAwbIvVYaWblB2aGjr68PoVCI/Px81K5dW2FiKj7c3d3L/B6XAQ3f9uraBlD8NGjr1q0Qi8WoU6cOsrKy0KpVK7YmvCIDBgzAgAEDYG9v/8lykg8fPnBa45+eno4mTZogOTkZSUlJ6Nevn1JLU/i0L6/cKReyG5+PcbkRevnyJerXr1/mOuFGjRpx6gMAXLhwARcvXoRUKoWVlZXaola4+Omnn0p94hkUFKSwLcMwePDgAZo1a6by/vv06YPY2Fi5iCNlaPMcyoednR1atWqFCxculJowsbw19DJFRUW4ePEiXr9+Lfe6k5MTp+N31qxZ0NPTY5fy9evXD4cPH1Z4/i7pwoUL8Pf3R7t27SCVSnH9+nWEhoZq9DNcFi7vX1BQEDp16iQ3uR0XF4fQ0FBO+/i4sgbXa6CMo6Mj7t+//8nAWF9fn9PAeNiwYQgNDcU///yD27dvY8qUKejfvz9OnTrFaf9AcS6RunXr4syZM9i3bx9mz54NqVRabslorri8B5MmTcIPP/yAwYMHQyqVIjIyEleuXOEUNfLxtjMzM1G9enV069YNNWvWVFgdIzU1FevWrcPSpUvx4MEDBAUFITg4GGZmZpyvgerA9zzGt72dnZ3K+apmzpxZ7ve5nMvKUpHn4JIGDhyIqKgoODk5sfcFjo6OcgktSyP72TNnzuDDhw9wcnKCSCTCkSNHUKNGDV6/O6m6aEqqCouOjsbevXvh5uaGr7/+Gvv374erqyvniYWNGzdi9+7dGDFiBAwNDREdHY3Ro0er5aZY0XxXVFQUQkJCMGTIELx69QrDhg1TOuGRsbExnjx5woZ8Z2Vlyc3alkXd5QaVwbfutzrqhqur9nhMTAzOnTuH0NBQTJw4EQ8fPsSuXbs4t1+0aBGOHDkCd3d3NGrUCI6OjrC1tUXNmjU53VDJLqqyet916tTBxYsXOT+h4Nte1XKnMiUnsIqKinD16lVYWlpy2n9gYCDWr1+PESNGfPI9LgMCdUat8MHniadAICh1GcStW7c4JW8DgIYNG+LDhw8qTyxo8xzKx+bNm5GQkICrV6+q/MTz999/x8uXL2Fubi4XMuzk5MTp+FV1KV9JS5cuxa5du9hrwJMnTzBp0qRKMbFQ3vtXcnJ77969CAgIkJvcVjSxULKyRsnIP5FIpFRljdWrV+P8+fO4fPkyxGIxBg0ahJ49e3JOnOft7Y3g4GCsW7cOGzduxI4dOziV2SspOTkZ0dHROH/+PKpXr47w8HBOie/U5cmTJ1i1ahX79bhx4xQO6GTOnDmDe/fuoU+fPmAYBmfPnoWRkRGOHTsGe3t7hSVDZ82ahd9++w1AcZTbr7/+ioCAAOzevVujyXP5nsf4tueTr2rBggUoKirCo0ePIJFIYGFhoban9Zp6blunTh2kpKSw59FDhw5xekAhu4eoWbMmatasifPnzwOAwmVuhJSHJhaqMB0dHbkb4mrVqnG+IZC1NzAwYL82MjJSan01n8RxDMNAV1eXDYEWCASc9y3L6P769Ws4OjqiY8eOEAqFuHr1KiwsLDj3v7CwEJs2bcKjR48wa9YsuRDMinbjxg2sX79eLunV06dPOa/75NteHdswMjKCgYEBLCwskJKSAltbW6UGBhYWFvD29oa3tzeuXLmC+fPnY+7cubhx4wan9nwG5upor2q5U5mPnybk5ORwLjUne5qm6jrhFStWlPk9ZaJW+NLX18ejR49gbm6OxMREWFlZKRUO7+rqCj8/P/Tt2xeFhYVYvnw5jh07pvDvInvKJZFI2MRnJc+dXJ/0aPMcykfDhg3h5OSEFi1aQCqVomXLlsjLy8OdO3c4Vyl4+PChyk8ZAbCl4QCgd+/e6N27t9LbEIvFcrlEGjduXG5ST00qbykG38lt2fEZEhLCa9nZrl27kJ6ejoEDB7Jl8jIyMjgvJ7x37x6ys7Ohp6eHZcuWYezYsUrnGBAIBCgsLGQHVa9fv+a0tj02Nhb9+vVDdnY2r2SXAoEAz549Q8OGDQEUV4vgOjB9+fIloqKi2AnOyZMnw9PTE3v27MHAgQMVTiwUFBTI5YXq0qULIiIiVPtFeOB7HuPbnk++qjt37mDKlCmoU6cOpFIp/vvvP6xevZpzziSJRIKzZ8+id+/eyM7OxpkzZ+Di4gKBQKCx5VRz5syBr68v7t+/D0tLS3z77becPgcfX6dUTf5ISEk0sVCF/fjjjwgPD0dBQQHi4uIQGRkJKysrzu0tLCywY8cOiMVi3Lt3D7t27fok70Fp1JE4zsHBAUOGDEFwcDDevHmDefPm4fDhwzhw4IDC/ZeV0X306NEK25Y0b9481K1bF8nJyRAKhUhLS4O/v79aQjAV8ff3x9ixYxEdHQ13d3ecPHkSLVu21Fh7dWzDwMAAMTEx+P7777Fjxw4YGRkpVWpMIpHgr7/+wtGjR5GUlISuXbvC39+fc3s+A3N1tOdb7vRjNWrUULrcXl5eHlavXo3ExESIRCJ07twZEyZMQPXq1cttp66oFb68vLywbNkyREREYMOGDYiMjMSgQYM4t9+2bRv8/f1x4sQJPHjwAJ06deL0tFH2lL60p/XKJE3U5jlUHY4cOYK7d+9i06ZNKCgowJo1a3DlyhVOVTOaNGmCp0+fKrXsRt0aNWqELVu2sJ+Z/fv3Kww/V6ctW7ZgzZo17HsmmyS/d+8ep8gbVSe3ZdFWrVq1KnVJFdfJUVXL5Mns3buXXfpmYmKCmJgYuLm5YciQIZy34eHhgdGjR+Ply5cIDQ1FXFwc+xS/PEuXLoWtrS17DSsNlyfOv//+OwYPHoy2bduCYRjcvHmTc96W169fo2bNmuzX1apVQ25uLkQiEafzSN26dbF79252Qjo2NhaGhoac9q1Oqp7H1NWeT8nckJAQLF26lJ1IuHHjBoKDgznnJwgMDIRUKmUnNhMSEnDr1i3MmzdP6XwhqmrSpAl2796Nd+/eQSqVyk3ScJGSkgIvLy+Vkz8SUhJNLFRhM2bMwN69e/Hdd98hJiYGPXr0UOqC/u7dO7x48QLVqlWDv78/rKys4Ovrq7CdOhLHbdiwgR3E1q1bF8uWLcOxY8c4tVVXebWPQzAXLlyosRBMPT09uLi4IDMzE1999ZXS++bbXh3bCA0NxdGjR+Hk5ISzZ88iKChIqazuPXr0QNu2beHg4ICQkBDekSKqDMz5tOdb7lQWeQMU3wBnZGQoXSIrICAAJiYmWLBgAVsubtasWZwnx9QR+cLH119/jeXLlwMADhw4gNzcXDx69Ihz+4YNG6JTp07Yt28fhEIhrKysON2UOTs7A/h02URBQQHbHy60eQ5Vh7Nnz+LgwYMAip8ybt68Gc7OzuVOLMg+t9nZ2XBwcECLFi0gFArZQbWmol2A4nOQLBSfYRhYWVlh3rx5Gtv/tm3bEBMTo/LkiqqT24ryAHGdWFC1TJ5MUVGRXAZ+VbLxOzk5oVWrVkhISIBEIsHatWs5DUotLS3RunVrMAyD//3vf+zrJSd3SuafKEv37t0RExODW7duQSqVYu7cuZwH97a2thg5ciT69u0LqVSKkydPonfv3oiJieG0LHPBggWYO3cuFi5cCD09PVhaWnLOr6FOqp7H1NWezz3du3fv5KIT2rVrhw8fPnBuf+fOHTYnSd26dREREaHRpTgAcPfuXaxbtw65ublyk2Fcz6XBwcG8kj8SUhJNLFRBJRO2de/eXa6kTFZWFuebnMzMTMyfPx/Tpk1Tav/qyATcoEEDbNmyBfn5+eyAJiMjA3379lWqL3yoGoKpDtWqVUNOTg5MTU1x8+ZNWFtbQyKRaKy9OrZhbGwMJycnxMfHo0OHDhg7diynTNoyR44c4ZVBn+/AnG97vuVOJ06cyIbcCgQCfP3110onIkxLS5Nb1hAQEKDUTZE6Il9UcfXqVUilUgQGBiI0NJS9mRKLxZgzZw5OnDjBaTsODg5o3749YmNj8fLlS/j7+yMmJkZuzXR5fHx8EBYWhh9++AHnzp3D3LlzlYr60uY5VB3EYjHev3/PPnXlsgyFSzSDphgaGmLZsmVa27+ZmZlS57yPqTq5LYu2+vvvv9GlSxe57508eZLz/vmWyevTpw87sBYIBDhx4gTnJS0fR1rIPoMpKSlISUlRODmyYMECLFiwABMnTsTatWtL/RkueQpsbGxga2sLR0dHpUsOT5s2DfHx8fj7778hFArxyy+/oEePHrhx4wanZYG3b9/GkiVL5KIetEHV85i62vNRu3ZtxMXFoU+fPgCAuLg4pc6hUqlULr/Dq1evNF5y2dfXF4MHD4aFhYVK96AFBQVyE9JdunRBeHi4OrtIqhCaWKiCRowYIVfVoOTgSJkSRzo6OujVqxdMTU3lLsBcZ0k/zgQ8ZMgQzpmAvby80LBhQ9y4cQN9+vTB2bNn0bp1a077VRdVQzDVYdSoUfD29sbKlSvh6uqKw4cPK1Xqkm97dWzj44zsQUFBSmVkv337NpYtW8bO0iv7+eU7MOfbnm+504iICN4Zp01NTXHt2jW0b98eQPFNedOmTTm3V0fkiyouXryIxMREZGVlyUUIiEQiDB48mPN2fH192WR1tWrVwq5du7Bp0ybO7detW4fJkyejcePGyMjIwMKFC9l1/1xo8xyqDkOGDMHAgQPZv+H58+cxbNiwctvIni4WFhbi4cOHaNGiBQ4fPoy7d+9i3LhxFd7nks6ePYvVq1fj9evXck/6+JT5U4aHhwccHBzQtm1blXJ08MkvUFhYiBUrVmDKlCns62KxGOvXr4etrS2n/fMtk+fj44Pjx48jKSkJIpEIHh4e7ABPEXVFXZQ1qcDVkSNHcPLkSSxZsgQvXryAvb09HB0d5UrQlqdnz56fXPPatWvHqe3ff/+NJUuWoFGjRrCxsUHPnj0571ed+J7H+LbnIzg4GBMmTJC77u7Zs4dze09PTzg7O6NDhw4AgJs3b3K+hquLvr5+qYmYuVI1+SMhpaGJhSqIS5hyZGSkwht0Hx8fXv3gkwk4KysL27ZtQ3h4OGxtbfHLL79g5MiRvPrDVcknJf379wfDMJBIJBg9erTGav82atQIXbp0gZ6eHurXr4/ExETMmDFDY+3VsQ2+GdlDQkLg5+en8iw934E53/Y3btyQK+vWq1cvpQaE9erVw5UrV9CmTRull4HI6qR/+PABJ0+ehKmpKYRCIR48eKBU8jR1RL6oQvbUOyYmhled8a5du+LUqVPIz88HUBzKLft3eWRRX9WqVcOcOXPg5eWFwMBANGrUSKm8Ado8h6qDh4cH3r59i9WrVwMonqjhmtXfx8cHJiYmKCwsxMqVKzFgwADMnDmTU5k+dQkNDUVAQACaNWumsWizkhYvXgwHBweV8zqoOrmdn5+Pa9euIT8/X26ALhQKlcoTA3wa9agsOzs72NnZKd2uvMkXZXL18FW7dm24urrC1dUVt2/fxuzZs7FmzRrcvXu3wvctW7bz4MEDxMfHw93dHTVq1OC8LFRd+J7H+LbnQxbtEx0djfT0dHh7eyMxMRGmpqac2ltYWCAqKgo3btyASCRCYGCgStUp+OjatSu2b9+Orl27yk3McL0OqZr8kZDS0MQCKdWePXsUTizwzVXAJxOwbDbV1NQUKSkpbOIkTZDdiKWnpyM9PR09evSAjo4O/vrrLzRr1ozXQIer0NBQTJkyBSdOnICBgQHi4+MxadIkzqH0fNurYxt8M7J//fXXvMrC8RmYq6O9quVOZW7fvs1GHwHya4MVkSVfZBgGhw8fxr///gtPT0/cuXNHqVKR6oh84cPGxgaBgYFIT0/HihUrEB4eDj8/P85PW6ZOnYrc3Fykp6fD0tISCQkJbPRGeT6O+tLT08PChQsBcCvXKaPNc6g6REREID09HatWrWKrAmRmZnJ6YpeRkYHly5cjIiICgwYNwvjx4+Hi4qKBXv+/WrVqKfWEXd309PTkcmRwxXdyWzYQvnTpEucqHpXVmTNnsGzZMrk8L+/fv8elS5c0sv/s7GwcO3YMsbGxyM3Nhb29PeelVHzdunULSUlJSEpKwv3799G6dWullmKpC9/zmLryXqlClkC0evXqaNGiBaKiouDm5sY58s3b2xvHjh3Dzz//XME9LZssz83mzZvZ15S5DvFN/khISTSxQEqliUE6n0zAVlZWmDJlCnx9fTFmzBgkJydrrPau7EmJu7s7Dh48yJaqys3N1dhSCKlUiq5du2LatGmwtbVFw4YNlXpSzLe9OrbBNyN7hw4dsGDBAnTr1k1ulp7rwJjPwJxPe3WVO718+TL7b9m+uZL9nRctWoTnz5/j7t27aNiwIebNm4fU1FT4+flx2o46Il/4CAoKQpcuXXDr1i3UqFEDRkZG8PHxwYYNGzi1T01NxcmTJxEaGgoXFxd4eXlxSiCqqeSUivDNps4Xn6oAEokE2dnZiIuLw8qVK/Hy5UulkqbxkZSUBABo1qwZQkJC0Lt3b7kBuTKTa3x06NABYWFh6N69u1ziQkX7V9fkdtOmTTFp0iR2KYK1tTX8/f15lV/UtAULFiA4OBibN2+Gp6cn4uLiUFBQoLH9DxgwAH379oWfn5/Gl2MOGzYMderUgYeHBxYtWkQDQhXwTSDarFkzrFq1Cm3btoW+vj77uqbOIYDq16OSeaJKo8lEuuTLQRMLpFSaCAvlkwn44cOHmDFjBr755hssWbIESUlJSEtLq+Aey8vKypJL8lO9enW8fPlSI/uuXr06Nm3ahISEBAQFBWHbtm1KJXDi214d2+Cbkf3WrVulDuS5Xgz5DMz5tFdXudOEhAQsXboUe/bswaNHjzBu3DhERERweuIu89dffyE6OhrOzs4wMDDA5s2b4ejoyHliQR2RL3xkZGRg8ODB2L17N/T09ODt7c2WXuPC0NAQAoEApqamSE1NhZOTE6cEhDK3bt3C1atXMXz4cHh6euLu3btYuHAhr9BwZfDNps4Xn6oAY8eOhZubG3r16oXmzZvj559/xu+//16R3WWVTFj67NkzpKamsl9rsjJFcnKy3P9z3b+6JrcDAgLQu3dvhIWFASie3NX0chS+atWqBSsrK1y7dg15eXnw8fHRWJk/AKhfvz6mTJmilUF9UlISrly5gsuXL+OXX36BUCiEpaWl0stZqjI+CUSB4jLTCQkJckuKNF3dRtWy0bJ7kb1790JfXx9OTk4QiUQ4cuSIxiZ5yZeHJhaI1qiSCXjSpEm4d+8esrKy5NYwisVijddDt7GxwejRo2FrawuGYXDs2DGNVaVYtGgR9u3bhxUrVqB27dp48eIFpyzS6mqvjm2ompF91qxZbJ3wjyNrlJkc4DswV7W9usI+w8LC2MzNZmZm2LBhA2bMmIEDBw5w3obsSbPs71ZYWKhUKL06Il/4EAqFyMvLY/v/+PFjpfpvYWGB4OBgDB06FNOnT0dWVpZS0VohISGYPHkyTpw4gWrVqiEqKgqTJ0/W2MSCNrOpA/yqAjg4OMhFN8TGxio1qcOHbClQSQzDID8/X6MDRFk/cnJyIBQKUatWLaXa853czs7OxvDhw9mvR40axTshrKbp6+vj0aNHMDc3R2JiIqysrDT2OQKKz0HaSjxYvXp1/PDDDygsLMSHDx9w4cIF3Lp1q8L3+yXhk0AU4H8Mq4OqZaNl9yLh4eFy9w3t2rXDwIEDK7TP5MslYDS1MJ18VpydnSv8BsPV1RVpaWlKXZDfvn2LnJwchIaGIjAwkH1dJBLB0NBQY8kTZU6cOIHExEQIBAJYW1srNdNd1V24cEGuqoOMonWBd+7cQatWrZCYmFjq97kO3J2dnREeHo7mzZsDKE6ApczAnG97vvr164fY2Fi51wYMGMCut+Riw4YNSE5Oxu3bt+Hh4YFDhw7B1tYWnp6enNq7u7ujZ8+e2LRpE44ePYqDBw/ixIkT2Llzp1K/i6rOnz+PJUuW4NmzZ+jQoQNu3LiB+fPnc143L5FIcP36dVhaWuLMmTO4ePEi3Nzc2PdUkUGDBmH//v2YNm0aunXrBicnJzg5OX1SCq+iqHIOVbfz58+zVQGsrKw4/+1LWxtfUFAgFwlU0eLj43HlyhX8+uuvGDRoELKzs+Hr66uxm+qUlBTMmDEDL168AMMwMDMzw8KFCzln9l+wYAFSUlLkJrc7duzIaTkPULyUqFOnTuzEUHx8POLi4hAaGqrqr6RxiYmJ2LlzJyIiIjB06FCkp6dj0KBBGovc4Xsd4sPNzQ0vX75E586dYWNjA2tra1oOoWF8j2F1KO267+DgIJccujz29vZYuXIlm7AyNTUVPj4+OHTokNr7Sr58NLFASuXh4VHhN6favCAT7fv5559LreqgaoZ0ZfEdmKtjYM/HpEmT8O2332LAgAEQCAQ4cuQIHj9+LFd+kYsLFy7g4sWLkEqlsLKyUioh5osXL7Bv3z507twZ7du3R0REBNzd3dGgQQNlfx2VFBUVYf369ey5atSoUZg4caJSkSupqal48+aN3Gtc18fKJlb+/PNPxMbGanxi5XM+h/7000+lro0PCgrSWB9cXFwQGhqK27dv48qVKwgKCoK7uzuioqI0sv+BAwdi8uTJ7DF36tQpbN68Gbt27eK8DVUmt1u0aCGXfFRfXx9CoRD5+fmoXbu2wlKOlRXDMHjz5k2VKZWXnJwMCwsLPHr0CFKpFBYWFhp/uFLVqeMY5svLywseHh5yZaNXr16NlStXcmr/119/wc/PD8bGxmAYBq9evcLixYuVKp1MiAxNLFRhly9fxrJly7Bnzx48fPhQpTXahKhqyJAhStWLVje+A3N1DexVlZubi+XLlyMpKQm6urqwtLTE5MmTtRKKqS2zZs1Cfn4+7O3tIZVKcfDgQTRo0IBzHXFvb2/cvXtXrjyYMutjS5tY8fDwgLGxsUq/T1UycOBAREVFYc2aNWjVqhW6d+9e6mRdRXJxccGBAwfw22+/wdHRET///LNST/r4Ki0yUJMRL18CbUedaNPt27fx+++/o06dOpBKpfjvv/+wevVqtG3bVttdqzK0eQyXLBudnZ39SdlorufS3NxcVK9eHf/88w8EAgG+++47vHjxQmMPeciXhSYWqjBth3KTqi0iIgJisVjlqg588R2Ya3tgL5FIcPbsWfTu3RvZ2dk4c+YMXFxcNJJ4tbL4eBAolUoxYMAAzgPDvn374siRI5wTDpbm7t27bDi/RCJBRkYGW+mElG3YsGEIDQ3FP//8g9u3b2PKlCno378/Tp06pbE+TJgwASYmJoiLi8OxY8ewYsUKPHr0SGPJCyMiIlCzZk24ublBKBQiNjYW165dY3NmVHTeoMLCQmzatAmPHj3CrFmzsGXLFowfP16l8rnaou2oE20aMmQIZs6cyU4k3LhxAyEhIdi/f7+We1Z1aPMYLm+5skAgUFgd5tmzZ2AYBuPHj8fGjRvZCCaJRIJx48bh+PHj6uwuqSIoZqoK+/Dhg9xaYnNzc4jFYi32iFQlfKs68GVgYIAuXbogKCiIHZgrsz6Vb3u+AgMDIZVK2dDnhIQE3Lp1S6nKGp87Y2NjPHnyBI0bNwZQnMyufv36nNu3bdsWaWlpMDMzU2n/gYGBSExMRG5uLszMzJCSkoL27dvTxAIH3t7ebFWYjRs3YseOHRg6dKhG+7B48WLExcXBw8MDNWrUQOPGjTFp0iSN7f/YsWMA8MlAUFbGlmsdelXNmzcPdevWRXJyMoRCIdLS0uDv768w6Vtl06JFC6xcuRKOjo6oWbOmRpM3atO7d+/kohPatWtH2fw1TJvHsGwp3JMnT5CWlqZ02dkVK1YgISEBWVlZcklcRSIR51w5hHyMJhaqMDMzM0RERMiFcjdt2lTb3SJfuJK1k/lUdeCL78Bc2wP7O3fusE/m69ati4iICLks+18y2Wfo9evXcHR0RMeOHSEUCnH16lVYWFhw3o6VlRXs7e1hZGQEoVDIlg3lejN48eJFnDhxAsHBwfDw8EBBQQFbuo+U7969e8jOzoaenh6WLVuGsWPH4ttvv9VoH54+fYpz587ByckJDx48QGxsrEYT4Klaf15dkpOTER0djfPnz6N69epYuHDhZ3cOqVevHoKDg3Hnzh1EREQgLCysyoRw165dG3FxcWwVg7i4OLkqIaTiafMY5lt2VtZ+w4YNGD9+fMV1lFQpNLFQhYWGhmL58uWYNm0aRCIRLC0tP6ts0OTzJKudrG18B+baHthLpVJkZWWx+QFevXqlVKnFz1lZn6HRo0crtZ3169dj69atKoerGhkZQVdXF+bm5khNTUX//v2Rl5en0raqmr1792Lfvn0AABMTE8TExMDNzQ1DhgzRWB8CAwPZCAVzc3P8+uuvCAgIwO7duzWy/8ePH2PHjh1ylTEyMjI0lvxTIBCgsLCQndB9/fr1Z7OUSraGvWvXrnjz5g0mTZqEkydPonHjxjAxMdFu5zQkODgYEyZMkMspo828RVXRkydPsGfPHrx+/VruQYls0K4JfMvOjho1CuvWrfusl0SRyoMmFqqwZ8+efZKB+/jx47Czs9NSj0hVUFky1vMdmGt7YO/p6QlnZ2d06NABAHDz5k34+/trbP/apK7P0Ndffw1LS0uVB1PGxsZYv349rK2tERERAaB43TpRrKioCLq6uuzXJf+tKQUFBejevTv7dZcuXdj3UROmTp0KGxsbXL16Fc7Ozjh16pRSETd8eXh4YPTo0Xj58iVCQ0MRFxfH6UlnZSCrXPHkyRM8fvwYNjY2cmHgI0aM0HIPK54s0iQ6Ohrp6enw9vZGYmIiWzaQVLzJkyfD2tqa13WELxsbG4wePVqu7Gzfvn05t/94SVR6evpnuSSKVA40sVCF/frrrxg2bBh++eUX5OTkYM6cOUhLS6OJBVIl8B2Ya3tg7+DggB9//BE3btyASCRCYGCgXHUDoljTpk3h5uaGzp07yw1sua6zDw0Nxblz59CmTRvY2triyJEjmDNnTgX19svSp08fjBw5En379oVAIMCJEyc4lUpUp7p162L37t1wdHQEAMTGxsLQ0FBj+y8qKsKUKVMgFovRsmVLuLm5wcXFpcL3WzJjff/+/dnEo6NHj/5syhWWDAM/dOiQ0mHgXwJZ1E/16tXRokULREVFwc3NDYMHD9Z216oMhmHg6+ur1T7MnDlTruzsmDFjlDqXfrwkKjw8/LNbEkUqj8/jCkIqRFRUFEJCQjBkyBC8evUKw4YNw+LFi7XdLUI0gu/AXNsD++zsbBw7dgz5+flgGAbJycnIyMjAwoULNdaHz51UKkWPHj2Ubvf06VP23z/88AOePn2K3r17a3xg/Dnz8fHB8ePHkZSUBJFIBA8PD3atuKYsWLAAc+fOxcKFC6Grq4uOHTtqdDlg9erVUVhYiKZNmyI5OVljdeNlT/vT09ORnp6udNK3yoRvGPjnrDJE/VR1P/zwA06dOoXevXtrdSnizz//jJ9//lmltp/zkihS+dDEQhXGMAx0dXVRUFDAJi2rKmu0CeE7MNf2wN7LywsNGzbEjRs30KdPH5w9exatW7fWyL6/FPfv38esWbNQs2ZNpdrJMn5/+PABr169QuPGjaGjo4MnT57AxMQEJ06cqKAef1ns7Oy0GiHXqFEjjZWWLI2joyM8PT2xaNEiDB48GBcuXICxsXGF75dv0rfKhG8Y+OesMkT9VFUtWrSAQCAAwzCf5LUordpVZfY5L4kilY+A+TgtO6kyunbtiiFDhsDT0xN5eXmYO3cunjx5ggMHDmi7a4RUOA8Pj1IH5lyz+vNtz5ednR2OHz+O8PBw2NnZoUmTJhg5ciQOHTqkkf1/CVxdXZGWlgZTU1NUq1aNfZ1ryVNvb28MHz6cfdJ869Yt/PHHH1ixYkWF9Jeo19mzZ7F69epPEq9VdJnHkt6+fQsDAwM8ffoUycnJ6NKlC2rUqKGRff/88884duwY+0ChsLAQDg4On93EWMkwcGtr6yo1uC4Z9dOxY0eNR/2Qz19RURF2796NN2/eoHbt2mAYBl999dVnFblEKg+KWKjCNmzYgJYtWwIoTmK2bNkytiYvIV+6rKwsbNu2DeHh4bC1tcUvv/yCkSNHaqw9X7Vr1wYAmJqaIiUlBW3btv2kfCcpn4+PD6/2Dx48kAtfb9OmDR49esS3W0RDQkNDERAQgGbNmmkl9Pfy5ctYtmwZ9uzZg/fv32PBggVYtGgR2rdvr5H9fylP+/mEgX/utB31U9WtWrVK7muBQAB9fX2Ym5vDxsZGO51S0vTp0/H06VOYm5sjMzOTfZ0mFogqaGKhCmvWrBnWrl2LR48eISgoiC0xQ0hVUNrAnG97TQ7sraysMGXKFPj6+mLMmDFITk7W2JPOLwXf6hINGjTA8uXL0a9fPzAMg4MHD6Jp06bq6RypcLVq1dLqzX94eDjCw8MBAGZmZti4cSNmzJihsahBvknfCKnq0tPTkZaWhv79+wMATp48CQMDA1y9ehWJiYmYMWOGlnuoWGpqKo4fP67tbpAvBE0sVGGyEjN3795lS8wEBARotNwWIdoiG5j7+flh9OjRSE5Ohr6+vtLttTWwf/jwIWbMmIFvvvkGS5YsQVJSEtLS0jS2fwJERERgxYoVmDp1KgCgc+fOGq1fTlSTlJQEoHhyPSQkBL1795arhtCxY0eN9OPDhw9o3rw5+7W5uTnEYrFG9i1TlZ/2E8LXo0ePsHPnTujp6QEAhgwZAnd3d0RGRsLR0fGzmFgwNzeXK51NCB80sVCFUYkZUpX9/vvv2LFjB8LCwmBqagozMzNMnDiRc3ttDewnTZqEe/fuISsrC3fv3mVfF4vFaNSoUYXvn/y/2rVrY9asWdruBlFSyRwYd+7cQWpqKgoKCpCVlYWmTZtyzrHBl5mZGSIiIjBgwAAIBAIcOXKEIl4I+Yy8efMGYrGYnVgoKirCu3fvAOCzWZr4/v172NnZoXnz5uzvAXDPNURISTSxUIVRiRlSlUVERCA9PR0DBw4EwzCIiopCZmYmAgICym2n7YF9WFgYcnJyEBoaisDAQPZ1kUgEQ0PDCt8/AZydnREdHc1mBv/Y55QRvCravn07gOIb56ioKGzfvh0ZGRkYN24c+vXrp7F+hIaGYvny5Zg2bRqbfC8kJERj+yeE8DN8+HC4uLjAxsYGUqkU58+fx4gRI7Blyxa5aKTKbMKECdruAvmCUFWIKiwmJgb79u1DWloa+vbty5aYGTRokLa7RkiFc3R0RExMDJsRXSwWw8HBQWEC07dv35Y7sC8ZUk2+bIWFhdizZw8SExMhEonQpUsXuLi4UNnez4S9vT327duH6tWrAwAKCgrg5uaGw4cPa7lnxTf72iyFSQjhJjU1FZcuXYKOjg6sra1hYWGBx48fo1GjRnIRAIRUBXQHXIU5OTmhVatWSEhIgEQiwdq1a9GiRQsAxcskvv/+ey33kJCKI5FI5EIYJRIJhEKhwnYGBgYwMDDA2rVrK7qLpJILDg5Gfn4+Bg4cCKlUioMHD+Kff/5RGPVCKoeioiLo6uqyX5f8t7a9ePFC210ghJQhPj4ePXv2RExMDACgTp06AIrvnZOTk6miAqmyaGKhimvWrBmaNWv2yeuBgYGIjo7WQo8I0QwHBwd4eHiw2ZyPHj0Ke3t7LfeKfE5u3Lgh93S7V69eGDBggBZ7RJTRp08fjBw5En379oVAIMCJEycqTVUEWpZISOV1+/Zt9OzZEwkJCaV+nyYWSFVFEwukVLRChnzpPD090bJlS1y6dAkMw8DT0/OzqTtNKgdjY2M8efIEjRs3BgBkZWWhfv36Wu4V4crHxwfHjx9HUlISRCIRPDw80KdPH213ixBSyU2ZMgUAqAoQIR+hiQVSKnpaQqqC7t27o3v37truBvnMuLu7QyAQ4PXr13B0dETHjh0hFApx9epVWFhYaLt7RAl2dnaws7PTdjcIIZ+hs2fPYvXq1Xj9+rXcA7nTp09rsVeEaA9NLBBCCCFKmDx5cqmvjx49WsM9IV8qihokpPILDQ1FQEAAmjVrRg/kCAFNLBBCCCFK+fHHH7XdBfKFozXahFR+tWrVoiWUhJRAEwukVPS0hBBCCFG/Xr16lfp0k2EYCAQCnD59GqNGjdJ8xwghnCQlJQEoToAeEhKC3r17y5Wa7tixo7a6RohWCRgaQVZZwcHBmDVrltxrvr6+CA8Pl0tIRgghhBD1yMzMLPf733zzjYZ6QghRhbu7e5nfEwgE2LZtmwZ7Q0jlQRMLVVBAQACePHmCO3fuoFWrVuzrYrEYeXl5cuXTCCGEEKJ+DMNg9+7duHz5MsRiMaysrDBixAjo6Ohou2uEEJ5WrlxZZj4eQr5UNLFQBWVkZCAzMxOhoaEIDAxkXxcKhTA3N0edOnW01zlCCCGkCggPD0daWhpcXFzAMAyioqLwzTffICAgQNtdI4Tw5OzsjOjoaG13gxCNohwLVZCJiQlMTExw6NAhZGRk4N9//0W3bt3w9OlTmlQghBBCNODvv/9GTEwMG6FgY2MDBwcHLfeKEKIO9NyWVEUUb1eFxcbGYuLEiQgJCUFOTg6GDBmCgwcPartbhBBCyBdPIpFALBbLfS0UCrXYI0KIulD5SVIV0cRCFbZx40bs3r0bBgYGMDQ0RHR0NDZs2KDtbhFCCCFfPAcHB3h4eGD79u3Yvn07Ro4cCXt7e213ixBCCFEJLYWownR0dGBgYMB+bWRkREmjCCGEEA3w9PREy5YtcenSJTAMA09PT9jY2Gi7W4QQQohKaGKhCrOwsMCOHTsgFotx79497Nq1Cy1atNB2twghhJAv3m+//QZHR0d4e3tDT09P290hhKhALBZDJBJBLBajsLAQNWrUAACYm5truWeEaB49nq7C3r17hxcvXqBatWrw9/eHgYEBZs+ere1uEUIIIV+8QYMG4dSpU7C1tUVgYCASExO13SVCiBJiY2Ph7OwMAHj69Cns7OwQFxcHAFi0aJE2u0aIVlC5ySrMxcUFW7dulVsOQQghhBDN+fDhA+Lj47Fhwwa8fv0a8fHx2u4SIYQDBwcHbN68GfXq1QMAvHr1CmPGjKFE6KTKoqUQVZiOjg569eoFU1NTVKtWjX1927ZtWuwVIYQQUjX8+++/OHr0KI4fP46GDRvCw8ND210ihHBUVFTETioAgKGhIZWZJFUaTSxUYT4+PtruAiGEEFIlOTo6QkdHB46Ojti2bRvq16+v7S4RQpTQvn17TJ06FQ4ODhAIBIiNjUW7du203S1CtIaWQhBCCCGEaMisWbMQHByMTp06oXnz5gDka95T1CAhn4fCwkJs374dSUlJEIlEsLS0xLBhwygZK6myaGKBEEIIIURD7ty5g1atWpWZrPHHH3/UcI8IIaoYO3Ys/vzzT213g5BKg5ZCEEIIIYRoSKtWrQDQBAIhn7uCggI8e/YMDRs21HZXCKkUaGKBEEIIIYQQQpSQnZ2NXr16wdDQUC4J+unTp7XYK0K0h5ZCEEIIIYQQQogSHj16hHPnzuHy5csQCoXo0aMHrK2t0bhxY213jRCtoIkFQgghhBBCCFGCr68vPnz4AEdHR0ilUhw8eBANGjRAQECAtrtGiFbQUghCCCGEEEIIUcLNmzdx/Phx9utevXrB3t5eiz0iRLt0tN0BQgghhBBCCPmcmJiYIC0tjf36v//+g7GxsRZ7RIh20VIIQgghhBBCCFHCqFGjcOPGDVhaWkIkEuHq1auoX78+6tWrBwDYtm2blntIiGbRxAIhhBBCCCGEKCExMbHc71NJWVLV0MQCIYQQQgghhBBCVEY5FgghhBBCCCGEEKIymlgghBBCCCGEEEKIymhigRBCCCGEEEIIISqjiQVCCCGEEEIIIYSo7P8AkxZSLIWiRQEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1296x1296 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "features = df.columns[~df.columns.isin(['id',\"prc\",\"eom\",\"ret\",\"ret_exc\"])].tolist()\n",
    "plt.figure(figsize = (18,18))\n",
    "sns.heatmap(data=df_2[features].corr())\n",
    "plt.title('Correlation Heatmap')\n",
    "plt.savefig('Correlation Heatmap.png')\n",
    "plt.show()\n",
    "plt.gcf().clear()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top Correlated Features (Pearson’s correlation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "jupyter": {
     "outputs_hidden": true
    }
   },
   "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>Variable 1</th>\n",
       "      <th>Variable 2</th>\n",
       "      <th>corr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.969124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.952986</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.916503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>0.880674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.820910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.769244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.759973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.728095</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.703522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.699054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.672176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.639957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.620299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.616271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.599299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.571810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.559174</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.550661</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.545368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.535990</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.524751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.524497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.524345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.504069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.501535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.496210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.483334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.476808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>0.452874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.445766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.441993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.428481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.428132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.426079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.424084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.418924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.403672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.383054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.382298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.381696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.380651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.377268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>0.375849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.367944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.355042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.353312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.350327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.347637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.344537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.342784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.336950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.336484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.334060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.332216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.331047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.330675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.325485</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.323130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.322996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.315262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.313976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>age</td>\n",
       "      <td>0.306380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.305570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.302501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.301482</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>f_score</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.296692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.293742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.293598</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.291494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.291189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.290944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.290837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.283308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.280994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.278830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.277381</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.277212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.270827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.270738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.267737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.267663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.265803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.263110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.260810</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>sale_bev</td>\n",
       "      <td>0.260155</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.254720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>at_gr1</td>\n",
       "      <td>age</td>\n",
       "      <td>0.251148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.247359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.246847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>me</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.245514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.245068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.240192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.239793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.238683</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.236272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.236204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.235010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>age</td>\n",
       "      <td>0.231690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.231002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.229275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.226889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.226643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.222742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.222194</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>age</td>\n",
       "      <td>0.219284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.217440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.216943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.216513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.214535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.214358</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>age</td>\n",
       "      <td>0.212208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.211942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.211232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.208977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.208803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>age</td>\n",
       "      <td>0.208056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.206828</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>age</td>\n",
       "      <td>0.203895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>me</td>\n",
       "      <td>age</td>\n",
       "      <td>0.203012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.202981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.202874</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.200394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>age</td>\n",
       "      <td>0.199927</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>age</td>\n",
       "      <td>0.199504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.196847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>age</td>\n",
       "      <td>0.195977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.194831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.192145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.191122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.188926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.188476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.187269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.186656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.184436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.184187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.184152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>0.182806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.182001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.181737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.181121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.178319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.178100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.176545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.176315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.176299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.175017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.174941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.174396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.173803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.173139</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.173043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.170223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.170210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.168835</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.167280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.166829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.165441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.165401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>age</td>\n",
       "      <td>0.164880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.163688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.162229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>161</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.161299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>f_score</td>\n",
       "      <td>age</td>\n",
       "      <td>0.160441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>163</th>\n",
       "      <td>f_score</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.160412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.159641</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.159635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.159003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.158300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.158245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>age</td>\n",
       "      <td>0.158124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.157962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.157800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.157252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.157146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.156633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>175</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.155976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.155457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.155323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.154975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.153558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.151549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.151324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.151264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.150173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>184</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.149612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.149011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.148342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.148297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.148134</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>me</td>\n",
       "      <td>0.147915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.147736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.147539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.147364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>f_score</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.146198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.145773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.145621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.144868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.142939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.142924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>age</td>\n",
       "      <td>0.140251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>f_score</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.139963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>me</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.139799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.139761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.139256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>ca_cl</td>\n",
       "      <td>age</td>\n",
       "      <td>0.137529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.136767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.135717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>ca_cl</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.135538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.135233</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.135216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.135207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.134584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>age</td>\n",
       "      <td>0.134540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.134073</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>me</td>\n",
       "      <td>0.133727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.133370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.133034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.132988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.132971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.132823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.131542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221</th>\n",
       "      <td>f_score</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.131477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.130917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.129980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.128205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.128084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.127948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.127480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.126201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>age</td>\n",
       "      <td>0.126049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.125864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.125320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.125313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.125180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.124740</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.124551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.123980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.123827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.123226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.123113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.122019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.121804</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.120784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.120493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>me</td>\n",
       "      <td>0.120368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.120000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.119638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>age</td>\n",
       "      <td>0.118678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.118386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.118378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.118202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.117570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>me</td>\n",
       "      <td>0.116811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.116419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>0.116270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.115884</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>256</th>\n",
       "      <td>me</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.115577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>257</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.115301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.114866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.114077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.113791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.113498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.113152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.112932</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.112859</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.112626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>266</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.111676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.111137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.110757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.110673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.110523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.110376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>272</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.109877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>273</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>sale_me</td>\n",
       "      <td>0.109257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.108366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.106749</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.106417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>0.106368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.106334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>me</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.106206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.106203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.105958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.105943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>age</td>\n",
       "      <td>0.105885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.105602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>285</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.105392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.105334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.105082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>288</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>age</td>\n",
       "      <td>0.105060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>289</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.104943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>0.104640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>291</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>age</td>\n",
       "      <td>0.104554</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.103453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.103121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>294</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.102631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.102216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.101918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.101853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.101851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.101524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.101416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>301</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.101048</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.100761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.100709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.100532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.100111</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>306</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>me</td>\n",
       "      <td>0.099825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.099768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.099031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>309</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.098042</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>310</th>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>age</td>\n",
       "      <td>0.097450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.097062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>f_score</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.095950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.095918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.095851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>315</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.095752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>316</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.095746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>317</th>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.095718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.095688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>f_score</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.095229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.095046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.095032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.094885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.094807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.094414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>beta_60m</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.094265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.094256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.094097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>328</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.093668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.093418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.093344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>331</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.092963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>332</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.092911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>333</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.092883</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>334</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.092782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.092668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.092609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>337</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.092449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>338</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.092359</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.091843</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.091473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>341</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>me</td>\n",
       "      <td>0.091423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.091157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.091093</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>age</td>\n",
       "      <td>0.090670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>345</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>0.090611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>346</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.090288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>347</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.090248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.090198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>349</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.089921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>350</th>\n",
       "      <td>me</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.089866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>351</th>\n",
       "      <td>me</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.089611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>352</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.089449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.089426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>354</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.089355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.089256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>356</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.089017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>357</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>0.088481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>be_me</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.088384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>359</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.088332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>360</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.087535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>361</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.087405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>362</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.086918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>363</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.086528</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.086486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>365</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>me</td>\n",
       "      <td>0.086456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.086407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>367</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.086123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>age</td>\n",
       "      <td>0.085848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>f_score</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.085734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>370</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.085702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>371</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.085640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>me</td>\n",
       "      <td>0.084836</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.084636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.084438</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.084345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.084002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>377</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.083912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.083873</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>me</td>\n",
       "      <td>0.083498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>age</td>\n",
       "      <td>0.083488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.083258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.083165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.083100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.082821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>ca_cl</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.082316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.081912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.081768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>388</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.081734</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.081660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.081577</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>391</th>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>age</td>\n",
       "      <td>0.081511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>392</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.081375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>393</th>\n",
       "      <td>f_score</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.081294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.081261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>395</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.081189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.081142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.080786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.080414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>399</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.080110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>400</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.080099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>401</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.079799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>402</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.079784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>403</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.079672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>404</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.079667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.079475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.079422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>407</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.078591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.078483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.078455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>be_me</td>\n",
       "      <td>age</td>\n",
       "      <td>0.078199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.078130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.077745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.077579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.077444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.077429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>be_me</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.076966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.076762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.076696</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.076610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.076411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>421</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>0.076354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.076153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>f_score</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.075995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.075964</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>425</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.075704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.075567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.075558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.075481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.075413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.075345</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.074941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>age</td>\n",
       "      <td>0.074624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>age</td>\n",
       "      <td>0.073930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.073675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.072714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.072472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.072316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.072088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.071920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.071752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.071738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.071592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.071558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>444</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.071350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>445</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.071292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.071052</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>447</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.070902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.070894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>449</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.070829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.070337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>451</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.070295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.070163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.069885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>454</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.069619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.069443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.069138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.069108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.069058</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.069015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>me</td>\n",
       "      <td>0.068993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.068724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>462</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.068595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>age</td>\n",
       "      <td>0.068564</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.068451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>465</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.068287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.068207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.067010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.067000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>f_score</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.066880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.066638</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.066448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.066448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.066266</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.066069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.066018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.065855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.065772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.065454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.065124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.065039</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.064949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.064806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.064510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.064469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.064447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.064368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.064354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.064268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.064252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.064088</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.063912</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.063889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.063628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>me</td>\n",
       "      <td>0.063537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.062794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.062698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>497</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.062614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.062484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>age</td>\n",
       "      <td>0.062444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.062411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>501</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.062302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.062219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.062131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.062100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>age</td>\n",
       "      <td>0.062075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.062050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.061744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.061705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.061659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.061542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.061350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.061274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.061181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.060725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.060642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.060613</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.060546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.060469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.060394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.060287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.060081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>522</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.060034</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>523</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>0.059989</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.059840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.059717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.059312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.059263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.059175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.058726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>me</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.058589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.058551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.058524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.058079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.057889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.057753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>536</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.057643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.057628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.057492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.056936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.056864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>541</th>\n",
       "      <td>ca_cl</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.056778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.056653</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.056625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.056133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.055968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.055825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.055018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.054903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.054738</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.054732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>551</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.054698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.054643</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.054469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.054425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.054341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>556</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.054262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.053850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.053747</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.053593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.053570</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.053553</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.053440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.053018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.052642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.052447</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.052436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.052355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.051999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.051418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.051402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.051257</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.051110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.051028</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.050966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>575</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.050900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>576</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>sale_bev</td>\n",
       "      <td>0.050782</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>577</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.050762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.050701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>579</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.050611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>0.050502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>me</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.050015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.049915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.049856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.049739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.049648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>0.049313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.049136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.049103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.048781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.048716</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.048601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.048573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.048533</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>594</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.048374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.048101</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.047871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.047831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.047826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.047786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.047760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.047625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>602</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.047534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.047470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.047291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>605</th>\n",
       "      <td>me</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.047235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>606</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.047185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>607</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.046783</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>608</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.046737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.046693</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.046589</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.046587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.046318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>613</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.046173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>614</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.046149</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.045903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>616</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.045434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>617</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.045308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>618</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.045197</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>619</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.045184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.045121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>age</td>\n",
       "      <td>0.044979</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.044798</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.044715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>624</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.044712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>625</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.044395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.044366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>627</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.044278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.044241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>629</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.044084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>630</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.044084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>631</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.043894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>632</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.043823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>sale_me</td>\n",
       "      <td>0.043756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.043715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.043624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.043609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.043576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>638</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.043403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.043399</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.043329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.043247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.043166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.042952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.042766</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.042718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.042411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>age</td>\n",
       "      <td>0.042348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.042293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>649</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.042094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.042026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.041898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.041862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.041816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>654</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.041763</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>655</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.041267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>656</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.041056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.041041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.040902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.040852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.040823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.040718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.040717</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>663</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.040673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.040616</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.040558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.040497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.040370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.040175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.040130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.039960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.039958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.039949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.039891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.039799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>675</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.039712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.039669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.039379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>678</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.039322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.039123</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.039001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>681</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.038969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.038950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>683</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.038604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>684</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.038472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.038406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>686</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.038386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.038332</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>688</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.038317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>689</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.038172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.037993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.037988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.037899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.037703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>f_score</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.037636</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>695</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.037579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>f_score</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.037535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>697</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.037522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>698</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.037441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>age</td>\n",
       "      <td>0.037434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>700</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.037417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>701</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.037232</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>702</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.037181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>703</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.036999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>704</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.036976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.036961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>706</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.036885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>707</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.036831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>708</th>\n",
       "      <td>me</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.036486</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>709</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.036421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>710</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.036386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>711</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.036375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.036321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>713</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.036259</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>714</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.036222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.036100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.035799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>717</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.035681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.035487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>me</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.035245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>720</th>\n",
       "      <td>me</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.035163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>721</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>0.035136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>722</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.034941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>723</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.034896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.034841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.034642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.034400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>727</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.034339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.034317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>729</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.034183</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.034080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.034038</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>732</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.033892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>733</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.033682</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>734</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.033617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>735</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.033410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>me</td>\n",
       "      <td>0.033376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>737</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.033366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>738</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.033355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>739</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.033330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>740</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.033321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>741</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>sale_me</td>\n",
       "      <td>0.033313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>742</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.033121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>743</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.032980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>744</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.032876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>745</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.032802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>746</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.032694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>747</th>\n",
       "      <td>me</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.032579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>748</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.032509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>749</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.032507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>750</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.032505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>751</th>\n",
       "      <td>me</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.032491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>752</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.032443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>753</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>me</td>\n",
       "      <td>0.032388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>age</td>\n",
       "      <td>0.032339</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>755</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>age</td>\n",
       "      <td>0.032278</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>756</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.032152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>757</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.032104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>758</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.032068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>759</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.032066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>760</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>0.031997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>761</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.031966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>762</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.031772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.031742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>764</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.031631</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>765</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.031549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>766</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.031513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.031302</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>768</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.031263</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>769</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.030937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.030892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>771</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.030677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>772</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.030675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.030624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.030583</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.030501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>0.030380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.030317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>me</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.030293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.030284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>780</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.030188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.030074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.030049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>age</td>\n",
       "      <td>0.029971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784</th>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.029821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.029645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>786</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.029552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>787</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.029502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.029501</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.029490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.029361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.029360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>792</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.029324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>793</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.029261</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.029200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>795</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>me</td>\n",
       "      <td>0.028946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>796</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.028712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.028513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>798</th>\n",
       "      <td>me</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.028503</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.028492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>800</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.028396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>801</th>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.028298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>802</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.028231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>803</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.028226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>804</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.028097</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>805</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.028081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>806</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.028071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>807</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.028069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.028067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.027951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>810</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.027905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>811</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>me</td>\n",
       "      <td>0.027802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>812</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.027801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>813</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.027774</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>814</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>age</td>\n",
       "      <td>0.027771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>815</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.027702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>816</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.027621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>817</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.027436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>818</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.027376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>819</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.027290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.027285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>821</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.027195</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>822</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.027171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>823</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.027084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>824</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.026991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.026953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.026754</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>827</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.026666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>828</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.026654</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.026539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>830</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.026536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.026445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>832</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.026396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.026333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>834</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.026285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>835</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>0.026158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>836</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.026135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>837</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.026010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>838</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>0.025957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>839</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.025947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>840</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.025907</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>841</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.025648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>842</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.025558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>843</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.025450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>844</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.025303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>845</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.025268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>846</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.025256</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>847</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.025248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>848</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>sale_bev</td>\n",
       "      <td>0.025142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>849</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.025117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>850</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.024903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>851</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.024881</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>852</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.024792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>853</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.024769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>854</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.024715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>855</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.024429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>856</th>\n",
       "      <td>f_score</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.024416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>857</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.024366</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>858</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.024361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>859</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.024353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.024304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>861</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.024252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>0.024235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>863</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.024089</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>864</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>0.024016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>865</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.024015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.023988</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>867</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.023925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.023922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>869</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.023811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.023723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>me</td>\n",
       "      <td>0.023709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.023670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.023669</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.023588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.023558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>ca_cl</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.023340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.023179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.023050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.022997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.022962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>881</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>0.022948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>882</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.022850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>883</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.022797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.022655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.022627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>886</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.022545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>887</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.022526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.022481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.022269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>890</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.022253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>891</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.022246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.022231</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>893</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.021963</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>894</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.021887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.021870</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>me</td>\n",
       "      <td>0.021778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>me</td>\n",
       "      <td>0.021778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.021677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.021676</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>900</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.021491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>901</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.021449</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>902</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.021397</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>903</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.021234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>904</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.021192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>905</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>0.020946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>906</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.020726</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>907</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.020626</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>908</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.020595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.020566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>910</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.020548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>911</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.020541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>912</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.020461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>913</th>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.020446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>914</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.020410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>915</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>0.020355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>916</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.020355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>917</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.020282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>918</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>me</td>\n",
       "      <td>0.020213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>919</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.020190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>920</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.020023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>921</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.020013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>922</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.019967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>923</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.019943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.019816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>925</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.019671</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.019538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.019499</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>928</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.019326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>929</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.019220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>930</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>age</td>\n",
       "      <td>0.018827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.018731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>932</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.018464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>933</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.018417</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>934</th>\n",
       "      <td>beta_60m</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.018350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>935</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>0.018319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>936</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>age</td>\n",
       "      <td>0.018297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>937</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.018102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>938</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.018085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>939</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.017965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.017773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>941</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.017727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.017632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>943</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.017581</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>944</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>age</td>\n",
       "      <td>0.017543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>945</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.017492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>946</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.017476</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>947</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.017394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.017394</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>949</th>\n",
       "      <td>me</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.017354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>950</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.017311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.017168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>952</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.017104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>953</th>\n",
       "      <td>ocf_at</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.017099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>954</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>sale_bev</td>\n",
       "      <td>0.017091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.016983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>956</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.016921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>957</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.016918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>958</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.016644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>959</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.016558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>960</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.016546</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>961</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.016451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>962</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.016428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>963</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.016406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>964</th>\n",
       "      <td>me</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.016382</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>965</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.016298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>966</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.016210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>age</td>\n",
       "      <td>0.016131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>968</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.016018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>969</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.015953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.015944</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.015935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.015827</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.015773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>974</th>\n",
       "      <td>beta_60m</td>\n",
       "      <td>age</td>\n",
       "      <td>0.015456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.015375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.015365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.015224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>978</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>0.015198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>979</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>0.015169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.015138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>981</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.014872</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>982</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.014821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.014685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.014620</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.014419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>me</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.014406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.014383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.014367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.014361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.014344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.014265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>f_score</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.013971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.013914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.013697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.013691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.013690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.013628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.013568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.013502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1000</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.013225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.013198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.013154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1003</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.013120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1004</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.013102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1005</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.013041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1006</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.012759</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1007</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.012750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1008</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.012596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1009</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.012537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1010</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.012535</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1011</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>0.012496</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1012</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.012491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1013</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.012468</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1014</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.012445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1015</th>\n",
       "      <td>me</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.012419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1016</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.012247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.012157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1018</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.011951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1019</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.011791</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.011727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021</th>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.011597</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1022</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>ni_be</td>\n",
       "      <td>0.011575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1023</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.011545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>ope_be</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.011538</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1025</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.011526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1026</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.011514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1027</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.011497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1028</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.011434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1029</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.011431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1030</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.011331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1031</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.011182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1032</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.011138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1033</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.011135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1034</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.011121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1035</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.010965</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1036</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>0.010913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1037</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.010768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1038</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.010728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1039</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.010458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1040</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.010458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1041</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.010389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1042</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.010361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1043</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.010220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1044</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>me</td>\n",
       "      <td>0.010137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1045</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.010119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1046</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>0.010112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1047</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.010019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.009977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1049</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ocf_at</td>\n",
       "      <td>0.009800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1050</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.009684</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1051</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.009673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1052</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.009592</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1053</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.009566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1054</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.009543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1055</th>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.009483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1056</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.009386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1057</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.009337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1058</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.009307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1059</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.009294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1060</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.009223</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1061</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.009146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1062</th>\n",
       "      <td>beta_60m</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.009100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1063</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.009054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1064</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.009007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1065</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.008997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1066</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.008982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1067</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.008972</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1068</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.008916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1069</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.008793</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1070</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>me</td>\n",
       "      <td>0.008751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1071</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.008642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1072</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>0.008640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1073</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.008575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1074</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.008526</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1075</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.008372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1076</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.008334</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1077</th>\n",
       "      <td>gp_bev</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.008217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1078</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.008056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1079</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>sale_bev</td>\n",
       "      <td>0.007976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1080</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.007969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1081</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.007952</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1082</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.007943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1083</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.007941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1084</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.007879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1085</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>0.007877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>0.007802</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1087</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.007714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.007702</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.007544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1090</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.007440</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1091</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.007384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1092</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.007380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1093</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.007368</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.007319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1095</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.007175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1096</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.007146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1097</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>me</td>\n",
       "      <td>0.007099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1098</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.007063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1099</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>0.006994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1100</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.006853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1101</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.006767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1102</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.006743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1103</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.006674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104</th>\n",
       "      <td>ca_cl</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.006670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1105</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.006633</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1106</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>age</td>\n",
       "      <td>0.006552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.006444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.006364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1109</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.006341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>noa_at</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.006280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>gp_bev</td>\n",
       "      <td>0.006252</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1112</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.006213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1113</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.006186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1114</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.006165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1115</th>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.006071</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1116</th>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.006070</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1117</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>age</td>\n",
       "      <td>0.006003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1118</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.005945</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1119</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.005861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1120</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.005852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1121</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.005847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1122</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.005800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1123</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.005792</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1124</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.005788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1125</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.005784</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1126</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.005745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127</th>\n",
       "      <td>f_score</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.005733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1128</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.005730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1129</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.005708</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1130</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>0.005614</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1131</th>\n",
       "      <td>me</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.005551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1132</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>me</td>\n",
       "      <td>0.005509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1133</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>0.005493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1134</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.005301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1135</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.005277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1136</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.005264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1137</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.005192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1138</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.005031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1139</th>\n",
       "      <td>sale_bev</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.004971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1140</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.004889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1141</th>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.004866</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1142</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>f_score</td>\n",
       "      <td>0.004815</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1143</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.004698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1144</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.004590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1145</th>\n",
       "      <td>debt_me</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.004571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1146</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.004435</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1147</th>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.004401</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1148</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.004367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1149</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.004311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1150</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.004288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1151</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.004275</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1152</th>\n",
       "      <td>prc_highprc_252d</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.004227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1153</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.004207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1154</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.004122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1155</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.004085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1156</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>me</td>\n",
       "      <td>0.003958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1157</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>0.003919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1158</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.003794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1159</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.003758</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1160</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.003712</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.003640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1162</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>me</td>\n",
       "      <td>0.003603</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1163</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>0.003480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1164</th>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>age</td>\n",
       "      <td>0.003429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1165</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.003421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1166</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.003416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1167</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>0.003293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1168</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>0.003145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1169</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.003086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1170</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.003072</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1171</th>\n",
       "      <td>f_score</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.003019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1172</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>oaccruals_at</td>\n",
       "      <td>0.002940</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1173</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>0.002937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1174</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.002875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1175</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>0.002806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1176</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.002794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1177</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>0.002760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1178</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>0.002751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1179</th>\n",
       "      <td>cash_gr1a</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.002735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>sale_me</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.002725</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>ret_12_1</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.002685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1182</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.002579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1183</th>\n",
       "      <td>taccruals_at</td>\n",
       "      <td>age</td>\n",
       "      <td>0.002571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1184</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.002484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1185</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>0.002442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1186</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.002375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1187</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.002303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1188</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>debt_me</td>\n",
       "      <td>0.002240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1189</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>ope_be</td>\n",
       "      <td>0.002196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1190</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.002184</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1191</th>\n",
       "      <td>ret_9_1</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.002152</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1192</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.002148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1193</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.002140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1194</th>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>sale_bev</td>\n",
       "      <td>0.002119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1195</th>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>at_gr1</td>\n",
       "      <td>0.002056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>cowc_gr1a</td>\n",
       "      <td>0.001987</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1197</th>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>cop_atl1</td>\n",
       "      <td>0.001761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1198</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.001723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1199</th>\n",
       "      <td>rmax1_21d</td>\n",
       "      <td>ocf_debt</td>\n",
       "      <td>0.001509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1200</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>ca_cl</td>\n",
       "      <td>0.001392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1201</th>\n",
       "      <td>ret_exc_lead1m</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.001367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1202</th>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>be_me</td>\n",
       "      <td>0.001310</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1203</th>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.001298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1204</th>\n",
       "      <td>ni_me</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.001287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1205</th>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>bidaskhl_21d</td>\n",
       "      <td>0.001243</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1206</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>ni_me</td>\n",
       "      <td>0.001164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1207</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>noa_at</td>\n",
       "      <td>0.001054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>sale_gr1</td>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>0.000977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1209</th>\n",
       "      <td>rvol_21d</td>\n",
       "      <td>pi_nix</td>\n",
       "      <td>0.000947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1210</th>\n",
       "      <td>ret_1_0</td>\n",
       "      <td>chcsho_12m</td>\n",
       "      <td>0.000937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1211</th>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>ebit_sale</td>\n",
       "      <td>0.000934</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1212</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>ivol_capm_252d</td>\n",
       "      <td>0.000876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1213</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>inv_gr1a</td>\n",
       "      <td>0.000841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1214</th>\n",
       "      <td>ret_6_0</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.000762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1215</th>\n",
       "      <td>me</td>\n",
       "      <td>debtlt_gr1a</td>\n",
       "      <td>0.000698</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1216</th>\n",
       "      <td>tax_gr1a</td>\n",
       "      <td>lnoa_gr1a</td>\n",
       "      <td>0.000612</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1217</th>\n",
       "      <td>netdebt_me</td>\n",
       "      <td>me</td>\n",
       "      <td>0.000531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1218</th>\n",
       "      <td>ret_12_7</td>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>0.000419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1219</th>\n",
       "      <td>ni_be</td>\n",
       "      <td>dsale_drec</td>\n",
       "      <td>0.000352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1220</th>\n",
       "      <td>pi_nix</td>\n",
       "      <td>beta_60m</td>\n",
       "      <td>0.000349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1221</th>\n",
       "      <td>dbnetis_at</td>\n",
       "      <td>be_gr1a</td>\n",
       "      <td>0.000308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1222</th>\n",
       "      <td>taccruals_ni</td>\n",
       "      <td>sale_gr3</td>\n",
       "      <td>0.000213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1223</th>\n",
       "      <td>debt_gr1</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.000175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1224</th>\n",
       "      <td>ret_6_1</td>\n",
       "      <td>caliq_cl</td>\n",
       "      <td>0.000138</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Variable 1        Variable 2      corr\n",
       "0             caliq_cl             ca_cl  0.969124\n",
       "1           netdebt_me           debt_me  0.952986\n",
       "2              ret_6_1           ret_6_0  0.916503\n",
       "3             rvol_21d         rmax1_21d  0.880674\n",
       "4              ret_9_1          ret_12_1  0.820910\n",
       "5              ret_9_1           ret_6_1  0.769244\n",
       "6               ocf_at          cop_atl1  0.759973\n",
       "7             sale_bev            gp_bev  0.728095\n",
       "8              ret_9_1           ret_6_0  0.703522\n",
       "9             ret_12_7          ret_12_1  0.699054\n",
       "10               ni_me             ni_be  0.672176\n",
       "11              ope_be             ni_be  0.639957\n",
       "12             be_gr1a            at_gr1  0.620299\n",
       "13             ret_6_1          ret_12_1  0.616271\n",
       "14            rvol_21d    ivol_capm_252d  0.599299\n",
       "15             ret_6_0  prc_highprc_252d  0.571810\n",
       "16             ret_6_0          ret_12_1  0.559174\n",
       "17        taccruals_at      oaccruals_at  0.550661\n",
       "18        oaccruals_at          cop_atl1  0.545368\n",
       "19              ope_be            ocf_at  0.535990\n",
       "20             ret_9_1  prc_highprc_252d  0.524751\n",
       "21           rmax1_21d    ivol_capm_252d  0.524497\n",
       "22              ocf_at             ni_be  0.524345\n",
       "23             ret_6_1  prc_highprc_252d  0.504069\n",
       "24              ope_be          cop_atl1  0.501535\n",
       "25              ocf_at      oaccruals_at  0.496210\n",
       "26            ret_12_1  prc_highprc_252d  0.483334\n",
       "27         debtlt_gr1a        dbnetis_at  0.476808\n",
       "28        taccruals_ni      taccruals_at  0.452874\n",
       "29           cash_gr1a           be_gr1a  0.445766\n",
       "30             sale_me             be_me  0.441993\n",
       "31            sale_gr1            at_gr1  0.428481\n",
       "32             debt_me             be_me  0.428132\n",
       "33            rvol_21d  prc_highprc_252d  0.426079\n",
       "34        oaccruals_at         cowc_gr1a  0.424084\n",
       "35           lnoa_gr1a            at_gr1  0.418924\n",
       "36             ret_6_0           ret_1_0  0.403672\n",
       "37    prc_highprc_252d    ivol_capm_252d  0.383054\n",
       "38               ni_be         ebit_sale  0.382298\n",
       "39           cash_gr1a            at_gr1  0.381696\n",
       "40              noa_at         lnoa_gr1a  0.380651\n",
       "41            sale_bev            noa_at  0.377268\n",
       "42            sale_gr3          sale_gr1  0.375849\n",
       "43          netdebt_me             be_me  0.367944\n",
       "44        taccruals_at       debtlt_gr1a  0.355042\n",
       "45           lnoa_gr1a           be_gr1a  0.353312\n",
       "46        taccruals_at          cop_atl1  0.350327\n",
       "47             ret_9_1          ret_12_7  0.347637\n",
       "48            inv_gr1a         cowc_gr1a  0.344537\n",
       "49      ivol_capm_252d      bidaskhl_21d  0.342784\n",
       "50              ope_be             ni_me  0.336950\n",
       "51              ocf_at           f_score  0.336484\n",
       "52          dbnetis_at            at_gr1  0.334060\n",
       "53             ret_1_0  prc_highprc_252d  0.332216\n",
       "54         debtlt_gr1a            at_gr1  0.331047\n",
       "55               ni_me         ebit_sale  0.330675\n",
       "56           lnoa_gr1a       debtlt_gr1a  0.325485\n",
       "57              ocf_at         ebit_sale  0.323130\n",
       "58              noa_at            gp_bev  0.322996\n",
       "59              ocf_at             ni_me  0.315262\n",
       "60        taccruals_at        dbnetis_at  0.313976\n",
       "61      ivol_capm_252d               age  0.306380\n",
       "62            sale_gr1           be_gr1a  0.305570\n",
       "63               ni_be          cop_atl1  0.302501\n",
       "64            rvol_21d      bidaskhl_21d  0.301482\n",
       "65             f_score          cop_atl1  0.296692\n",
       "66    prc_highprc_252d             be_me  0.293742\n",
       "67        taccruals_ni            pi_nix  0.293598\n",
       "68            inv_gr1a            at_gr1  0.291494\n",
       "69             sale_me           debt_me  0.291189\n",
       "70              noa_at            at_gr1  0.290944\n",
       "71              ope_be         ebit_sale  0.290837\n",
       "72            sale_gr3            at_gr1  0.283308\n",
       "73            debt_gr1        dbnetis_at  0.280994\n",
       "74            debt_gr1            at_gr1  0.278830\n",
       "75               ni_be           f_score  0.277381\n",
       "76           ebit_sale          cop_atl1  0.277212\n",
       "77           rmax1_21d  prc_highprc_252d  0.270827\n",
       "78           lnoa_gr1a        dbnetis_at  0.270738\n",
       "79               ni_me           be_gr1a  0.267737\n",
       "80             sale_me        netdebt_me  0.267663\n",
       "81               ni_be           be_gr1a  0.265803\n",
       "82           rmax1_21d           ret_1_0  0.263110\n",
       "83               ni_me           f_score  0.260810\n",
       "84             sale_me          sale_bev  0.260155\n",
       "85        oaccruals_at           be_gr1a  0.254720\n",
       "86              at_gr1               age  0.251148\n",
       "87         debtlt_gr1a          debt_gr1  0.247359\n",
       "88           rmax1_21d      bidaskhl_21d  0.246847\n",
       "89                  me    ivol_capm_252d  0.245514\n",
       "90        oaccruals_at          inv_gr1a  0.245068\n",
       "91        oaccruals_at             ni_me  0.240192\n",
       "92            ret_12_1             be_me  0.239793\n",
       "93              ope_be             be_me  0.238683\n",
       "94              noa_at       debtlt_gr1a  0.236272\n",
       "95              noa_at           be_gr1a  0.236204\n",
       "96        taccruals_at           be_gr1a  0.235010\n",
       "97            sale_gr3               age  0.231690\n",
       "98              ope_be           f_score  0.231002\n",
       "99              noa_at         cowc_gr1a  0.229275\n",
       "100           ret_12_7  prc_highprc_252d  0.226889\n",
       "101           inv_gr1a           be_gr1a  0.226643\n",
       "102       taccruals_at            ocf_at  0.222742\n",
       "103            ret_9_1             be_me  0.222194\n",
       "104           rvol_21d               age  0.219284\n",
       "105           sale_gr1         lnoa_gr1a  0.217440\n",
       "106       oaccruals_at             ni_be  0.216943\n",
       "107             ocf_at         cowc_gr1a  0.216513\n",
       "108         netdebt_me         ebit_sale  0.214535\n",
       "109       taccruals_ni      oaccruals_at  0.214358\n",
       "110              ni_be               age  0.212208\n",
       "111          ebit_sale           debt_me  0.211942\n",
       "112             noa_at        dbnetis_at  0.211232\n",
       "113         dsale_drec         cowc_gr1a  0.208977\n",
       "114           sale_gr3           be_gr1a  0.208803\n",
       "115           sale_gr1               age  0.208056\n",
       "116            ret_6_0             be_me  0.206828\n",
       "117          ebit_sale               age  0.203895\n",
       "118                 me               age  0.203012\n",
       "119          cowc_gr1a           be_gr1a  0.202981\n",
       "120           sale_bev        netdebt_me  0.202874\n",
       "121          lnoa_gr1a          debt_gr1  0.200394\n",
       "122          rmax1_21d               age  0.199927\n",
       "123            be_gr1a               age  0.199504\n",
       "124            ret_6_1             be_me  0.196847\n",
       "125             ocf_at               age  0.195977\n",
       "126       taccruals_ni       debtlt_gr1a  0.194831\n",
       "127             gp_bev          cop_atl1  0.192145\n",
       "128             noa_at          inv_gr1a  0.191122\n",
       "129       taccruals_at         lnoa_gr1a  0.188926\n",
       "130           sale_gr1          inv_gr1a  0.188476\n",
       "131   prc_highprc_252d          beta_60m  0.187269\n",
       "132            sale_me  prc_highprc_252d  0.186656\n",
       "133              ni_be    ivol_capm_252d  0.184436\n",
       "134       oaccruals_at            at_gr1  0.184187\n",
       "135       taccruals_at             ni_me  0.184152\n",
       "136           tax_gr1a          sale_gr1  0.182806\n",
       "137           inv_gr1a        dbnetis_at  0.182001\n",
       "138             noa_at          caliq_cl  0.181737\n",
       "139       oaccruals_at        dbnetis_at  0.181121\n",
       "140          cowc_gr1a         cash_gr1a  0.178319\n",
       "141          lnoa_gr1a          inv_gr1a  0.178100\n",
       "142           sale_bev             be_me  0.176545\n",
       "143             gp_bev             be_me  0.176315\n",
       "144           tax_gr1a          cop_atl1  0.176299\n",
       "145           tax_gr1a           f_score  0.175017\n",
       "146          ebit_sale          caliq_cl  0.174941\n",
       "147         dsale_drec            at_gr1  0.174396\n",
       "148             ope_be            gp_bev  0.173803\n",
       "149           sale_bev           debt_me  0.173139\n",
       "150          ebit_sale             ca_cl  0.173043\n",
       "151             ocf_at        dbnetis_at  0.170223\n",
       "152             ope_be             ca_cl  0.170210\n",
       "153         dbnetis_at         cowc_gr1a  0.168835\n",
       "154             ope_be          caliq_cl  0.167280\n",
       "155          cowc_gr1a          cop_atl1  0.166829\n",
       "156            sale_me          caliq_cl  0.165441\n",
       "157           cop_atl1         cash_gr1a  0.165401\n",
       "158              ni_me               age  0.164880\n",
       "159             ocf_at            gp_bev  0.163688\n",
       "160       taccruals_at            noa_at  0.162229\n",
       "161           tax_gr1a            ope_be  0.161299\n",
       "162            f_score               age  0.160441\n",
       "163            f_score         ebit_sale  0.160412\n",
       "164       taccruals_at             ni_be  0.159641\n",
       "165              ni_be             be_me  0.159635\n",
       "166           ocf_debt            ocf_at  0.159003\n",
       "167             ocf_at             be_me  0.158300\n",
       "168            sale_me            pi_nix  0.158245\n",
       "169             ope_be               age  0.158124\n",
       "170         chcsho_12m            at_gr1  0.157962\n",
       "171       taccruals_at          debt_gr1  0.157800\n",
       "172          cash_gr1a          caliq_cl  0.157252\n",
       "173           ret_12_7             be_me  0.157146\n",
       "174             ocf_at           debt_me  0.156633\n",
       "175       oaccruals_at            noa_at  0.155976\n",
       "176       oaccruals_at         lnoa_gr1a  0.155457\n",
       "177             ocf_at         cash_gr1a  0.155323\n",
       "178           sale_gr3         lnoa_gr1a  0.154975\n",
       "179           sale_gr3    ivol_capm_252d  0.153558\n",
       "180           tax_gr1a           be_gr1a  0.151549\n",
       "181           ret_12_7           be_gr1a  0.151324\n",
       "182           sale_gr1       debtlt_gr1a  0.151264\n",
       "183       oaccruals_at        dsale_drec  0.150173\n",
       "184           sale_bev            ope_be  0.149612\n",
       "185         netdebt_me             ca_cl  0.149011\n",
       "186            sale_me             ca_cl  0.148342\n",
       "187           cop_atl1             be_me  0.148297\n",
       "188              ni_me    ivol_capm_252d  0.148134\n",
       "189           rvol_21d                me  0.147915\n",
       "190         netdebt_me          caliq_cl  0.147736\n",
       "191       taccruals_ni        dbnetis_at  0.147539\n",
       "192             noa_at        netdebt_me  0.147364\n",
       "193            f_score        dbnetis_at  0.146198\n",
       "194     ivol_capm_252d         ebit_sale  0.145773\n",
       "195   prc_highprc_252d      bidaskhl_21d  0.145621\n",
       "196     ivol_capm_252d           f_score  0.144868\n",
       "197             ocf_at        netdebt_me  0.142939\n",
       "198          cash_gr1a             ca_cl  0.142924\n",
       "199           caliq_cl               age  0.140251\n",
       "200            f_score           be_gr1a  0.139963\n",
       "201                 me      bidaskhl_21d  0.139799\n",
       "202           caliq_cl           be_gr1a  0.139761\n",
       "203           cop_atl1             ca_cl  0.139256\n",
       "204              ca_cl               age  0.137529\n",
       "205              ni_be        chcsho_12m  0.136767\n",
       "206           rvol_21d          beta_60m  0.135717\n",
       "207              ca_cl           be_gr1a  0.135538\n",
       "208           sale_gr1        dbnetis_at  0.135233\n",
       "209            sale_me          ret_12_1  0.135216\n",
       "210           cop_atl1          caliq_cl  0.135207\n",
       "211             noa_at             ca_cl  0.134584\n",
       "212             gp_bev               age  0.134540\n",
       "213          cowc_gr1a            at_gr1  0.134073\n",
       "214          rmax1_21d                me  0.133727\n",
       "215       taccruals_ni         lnoa_gr1a  0.133370\n",
       "216            ret_6_0    ivol_capm_252d  0.133034\n",
       "217           sale_gr1          debt_gr1  0.132988\n",
       "218       oaccruals_at           f_score  0.132971\n",
       "219       oaccruals_at             ca_cl  0.132823\n",
       "220       taccruals_at             ca_cl  0.131542\n",
       "221            f_score         cash_gr1a  0.131477\n",
       "222             ocf_at        chcsho_12m  0.130917\n",
       "223           rvol_21d            at_gr1  0.129980\n",
       "224           inv_gr1a       debtlt_gr1a  0.128205\n",
       "225           sale_gr3        dbnetis_at  0.128084\n",
       "226           tax_gr1a             ni_be  0.127948\n",
       "227           sale_gr1            noa_at  0.127480\n",
       "228           ret_12_7           f_score  0.126201\n",
       "229          lnoa_gr1a               age  0.126049\n",
       "230           tax_gr1a            ocf_at  0.125864\n",
       "231           sale_gr3       debtlt_gr1a  0.125320\n",
       "232          cowc_gr1a             ca_cl  0.125313\n",
       "233       taccruals_at          caliq_cl  0.125180\n",
       "234           sale_gr1         cash_gr1a  0.124740\n",
       "235         chcsho_12m           be_gr1a  0.124551\n",
       "236       taccruals_ni            noa_at  0.123980\n",
       "237           sale_gr3          debt_gr1  0.123827\n",
       "238     ivol_capm_252d        chcsho_12m  0.123226\n",
       "239         netdebt_me            gp_bev  0.123113\n",
       "240           sale_bev         ebit_sale  0.122019\n",
       "241            sale_me           ret_9_1  0.121804\n",
       "242       taccruals_ni          cop_atl1  0.120784\n",
       "243             ocf_at        dsale_drec  0.120493\n",
       "244              ni_be                me  0.120368\n",
       "245   prc_highprc_252d           f_score  0.120000\n",
       "246           sale_bev            ocf_at  0.119638\n",
       "247           ret_12_1               age  0.118678\n",
       "248              ni_me             be_me  0.118386\n",
       "249       taccruals_at         cowc_gr1a  0.118378\n",
       "250           tax_gr1a         cash_gr1a  0.118202\n",
       "251             noa_at          debt_gr1  0.117570\n",
       "252             ope_be                me  0.116811\n",
       "253           sale_gr3          inv_gr1a  0.116419\n",
       "254           sale_gr3          rvol_21d  0.116270\n",
       "255       oaccruals_at          caliq_cl  0.115884\n",
       "256                 me             ca_cl  0.115577\n",
       "257             ope_be        chcsho_12m  0.115301\n",
       "258              ni_me          cop_atl1  0.114866\n",
       "259              ni_me         cowc_gr1a  0.114077\n",
       "260            sale_me           be_gr1a  0.113791\n",
       "261            debt_me             ca_cl  0.113498\n",
       "262            sale_me         ebit_sale  0.113152\n",
       "263          rmax1_21d          beta_60m  0.112932\n",
       "264         dsale_drec          cop_atl1  0.112859\n",
       "265            ret_6_1    ivol_capm_252d  0.112626\n",
       "266           tax_gr1a          inv_gr1a  0.111676\n",
       "267           ret_12_7         cash_gr1a  0.111137\n",
       "268            ret_6_0             ni_me  0.110757\n",
       "269             gp_bev           debt_me  0.110673\n",
       "270             gp_bev         cash_gr1a  0.110523\n",
       "271             ope_be    ivol_capm_252d  0.110376\n",
       "272              ni_me        chcsho_12m  0.109877\n",
       "273       taccruals_ni           sale_me  0.109257\n",
       "274     ivol_capm_252d            at_gr1  0.108366\n",
       "275            ret_9_1    ivol_capm_252d  0.106749\n",
       "276            debt_me          caliq_cl  0.106417\n",
       "277           sale_gr1          rvol_21d  0.106368\n",
       "278             ocf_at    ivol_capm_252d  0.106334\n",
       "279                 me            gp_bev  0.106206\n",
       "280           sale_gr1    ivol_capm_252d  0.106203\n",
       "281   prc_highprc_252d           debt_me  0.105958\n",
       "282           rvol_21d             be_me  0.105943\n",
       "283         chcsho_12m               age  0.105885\n",
       "284           sale_gr1        chcsho_12m  0.105602\n",
       "285             noa_at         ebit_sale  0.105392\n",
       "286          rmax1_21d            at_gr1  0.105334\n",
       "287            sale_me           ret_6_0  0.105082\n",
       "288            ret_9_1               age  0.105060\n",
       "289           ocf_debt          cop_atl1  0.104943\n",
       "290           sale_gr3         rmax1_21d  0.104640\n",
       "291           inv_gr1a               age  0.104554\n",
       "292           tax_gr1a            at_gr1  0.103453\n",
       "293           ret_12_1            gp_bev  0.103121\n",
       "294             ocf_at          inv_gr1a  0.102631\n",
       "295           ocf_debt            noa_at  0.102216\n",
       "296            sale_me           ret_6_1  0.101918\n",
       "297           sale_gr3           f_score  0.101853\n",
       "298           sale_bev         cash_gr1a  0.101851\n",
       "299           ret_12_1           f_score  0.101524\n",
       "300             ocf_at             ca_cl  0.101416\n",
       "301            ret_6_1             ni_me  0.101048\n",
       "302           ret_12_1         cash_gr1a  0.100761\n",
       "303           ret_12_7            at_gr1  0.100709\n",
       "304              ni_be         cowc_gr1a  0.100532\n",
       "305        debtlt_gr1a         cowc_gr1a  0.100111\n",
       "306   prc_highprc_252d                me  0.099825\n",
       "307           ret_12_1           be_gr1a  0.099768\n",
       "308          cowc_gr1a          caliq_cl  0.099031\n",
       "309         dsale_drec           be_gr1a  0.098042\n",
       "310          cash_gr1a               age  0.097450\n",
       "311           inv_gr1a          debt_gr1  0.097062\n",
       "312            f_score       debtlt_gr1a  0.095950\n",
       "313             noa_at        dsale_drec  0.095918\n",
       "314           tax_gr1a            pi_nix  0.095851\n",
       "315             pi_nix             ni_me  0.095752\n",
       "316             noa_at             be_me  0.095746\n",
       "317           caliq_cl            at_gr1  0.095718\n",
       "318            ret_9_1             ni_me  0.095688\n",
       "319            f_score          debt_gr1  0.095229\n",
       "320           rvol_21d             ni_be  0.095046\n",
       "321             ocf_at          caliq_cl  0.095032\n",
       "322            sale_me          ret_12_7  0.094885\n",
       "323           sale_gr1         cowc_gr1a  0.094807\n",
       "324          rmax1_21d             ni_be  0.094414\n",
       "325           beta_60m             be_me  0.094265\n",
       "326            sale_me            at_gr1  0.094256\n",
       "327          rmax1_21d         ebit_sale  0.094097\n",
       "328       taccruals_ni             ni_be  0.093668\n",
       "329              ni_me          inv_gr1a  0.093418\n",
       "330             pi_nix            ope_be  0.093344\n",
       "331           sale_gr3            noa_at  0.092963\n",
       "332           sale_bev          ocf_debt  0.092911\n",
       "333            sale_me             ni_be  0.092883\n",
       "334            debt_me           be_gr1a  0.092782\n",
       "335           rvol_21d         ebit_sale  0.092668\n",
       "336   prc_highprc_252d            ocf_at  0.092609\n",
       "337             pi_nix      oaccruals_at  0.092449\n",
       "338              ni_be          inv_gr1a  0.092359\n",
       "339           sale_gr1      oaccruals_at  0.091843\n",
       "340              ni_be           debt_me  0.091473\n",
       "341           sale_bev                me  0.091423\n",
       "342          lnoa_gr1a        dsale_drec  0.091157\n",
       "343   prc_highprc_252d            at_gr1  0.091093\n",
       "344            ret_6_0               age  0.090670\n",
       "345            sale_me          rvol_21d  0.090611\n",
       "346            sale_me            gp_bev  0.090288\n",
       "347           sale_gr3         cash_gr1a  0.090248\n",
       "348           sale_gr1             ni_me  0.090198\n",
       "349              ni_be         cash_gr1a  0.089921\n",
       "350                 me         ebit_sale  0.089866\n",
       "351                 me          caliq_cl  0.089611\n",
       "352       oaccruals_at       debtlt_gr1a  0.089449\n",
       "353             pi_nix             ni_be  0.089426\n",
       "354            ret_1_0             be_me  0.089355\n",
       "355            ret_9_1            gp_bev  0.089256\n",
       "356       taccruals_ni             ni_me  0.089017\n",
       "357           sale_gr1         rmax1_21d  0.088481\n",
       "358              be_me            at_gr1  0.088384\n",
       "359           tax_gr1a          ret_12_7  0.088332\n",
       "360           ret_12_1          cop_atl1  0.087535\n",
       "361       taccruals_ni            ocf_at  0.087405\n",
       "362         dsale_drec        dbnetis_at  0.086918\n",
       "363           ocf_debt            gp_bev  0.086528\n",
       "364         netdebt_me           be_gr1a  0.086486\n",
       "365            sale_me                me  0.086456\n",
       "366           sale_bev          cop_atl1  0.086407\n",
       "367       taccruals_ni           be_gr1a  0.086123\n",
       "368            ret_6_1               age  0.085848\n",
       "369            f_score          caliq_cl  0.085734\n",
       "370           tax_gr1a          ret_12_1  0.085702\n",
       "371           ret_12_1           debt_me  0.085640\n",
       "372              ni_me                me  0.084836\n",
       "373           sale_gr3        chcsho_12m  0.084636\n",
       "374            debt_me          beta_60m  0.084438\n",
       "375              ni_be            gp_bev  0.084345\n",
       "376           rvol_21d           f_score  0.084002\n",
       "377             ocf_at       debtlt_gr1a  0.083912\n",
       "378            sale_me    ivol_capm_252d  0.083873\n",
       "379             ocf_at                me  0.083498\n",
       "380   prc_highprc_252d               age  0.083488\n",
       "381     ivol_capm_252d          beta_60m  0.083258\n",
       "382           ocf_debt        netdebt_me  0.083165\n",
       "383     ivol_capm_252d             be_me  0.083100\n",
       "384              ni_me            at_gr1  0.082821\n",
       "385              ca_cl            at_gr1  0.082316\n",
       "386           sale_gr3  prc_highprc_252d  0.081912\n",
       "387           cop_atl1        chcsho_12m  0.081768\n",
       "388           ret_12_1    ivol_capm_252d  0.081734\n",
       "389              ni_be            at_gr1  0.081660\n",
       "390        debtlt_gr1a         cash_gr1a  0.081577\n",
       "391       bidaskhl_21d               age  0.081511\n",
       "392           sale_bev        dbnetis_at  0.081375\n",
       "393            f_score             ca_cl  0.081294\n",
       "394            ret_6_0            gp_bev  0.081261\n",
       "395           sale_bev             ni_be  0.081189\n",
       "396           ocf_debt             ni_be  0.081142\n",
       "397         dbnetis_at          cop_atl1  0.080786\n",
       "398             ocf_at           be_gr1a  0.080414\n",
       "399   prc_highprc_252d        netdebt_me  0.080110\n",
       "400       oaccruals_at         cash_gr1a  0.080099\n",
       "401           tax_gr1a             ni_me  0.079799\n",
       "402              ni_be        netdebt_me  0.079784\n",
       "403   prc_highprc_252d             ni_be  0.079672\n",
       "404   prc_highprc_252d        dbnetis_at  0.079667\n",
       "405           debt_gr1         cowc_gr1a  0.079475\n",
       "406             noa_at           debt_me  0.079422\n",
       "407           ret_12_7          cop_atl1  0.078591\n",
       "408              ni_be      bidaskhl_21d  0.078483\n",
       "409           cop_atl1           be_gr1a  0.078455\n",
       "410              be_me               age  0.078199\n",
       "411           tax_gr1a            gp_bev  0.078130\n",
       "412             pi_nix           be_gr1a  0.077745\n",
       "413             ope_be      oaccruals_at  0.077579\n",
       "414             ocf_at            at_gr1  0.077444\n",
       "415             noa_at             ni_me  0.077429\n",
       "416              be_me           be_gr1a  0.076966\n",
       "417       taccruals_at            pi_nix  0.076762\n",
       "418          rmax1_21d           f_score  0.076696\n",
       "419           sale_gr1          ret_12_7  0.076610\n",
       "420            ret_9_1           debt_me  0.076411\n",
       "421           tax_gr1a          sale_gr3  0.076354\n",
       "422           ocf_debt           debt_me  0.076153\n",
       "423            f_score        dsale_drec  0.075995\n",
       "424       bidaskhl_21d          beta_60m  0.075964\n",
       "425            sale_me          cop_atl1  0.075704\n",
       "426       oaccruals_at          debt_gr1  0.075567\n",
       "427             ope_be           debt_me  0.075558\n",
       "428            ret_6_1            gp_bev  0.075481\n",
       "429          ebit_sale           be_gr1a  0.075413\n",
       "430          lnoa_gr1a        chcsho_12m  0.075345\n",
       "431         netdebt_me        dbnetis_at  0.074941\n",
       "432           ret_12_7               age  0.074624\n",
       "433           debt_gr1               age  0.073930\n",
       "434           rvol_21d        chcsho_12m  0.073675\n",
       "435           ret_12_1            ocf_at  0.072714\n",
       "436             gp_bev        dbnetis_at  0.072472\n",
       "437           sale_bev         lnoa_gr1a  0.072316\n",
       "438          ebit_sale        chcsho_12m  0.072088\n",
       "439           sale_bev       debtlt_gr1a  0.071920\n",
       "440       oaccruals_at            gp_bev  0.071752\n",
       "441              ni_be         lnoa_gr1a  0.071738\n",
       "442           tax_gr1a         ebit_sale  0.071592\n",
       "443           tax_gr1a             be_me  0.071558\n",
       "444           ret_12_1             ni_me  0.071350\n",
       "445          rmax1_21d           ret_6_0  0.071292\n",
       "446          ebit_sale             be_me  0.071052\n",
       "447           ret_12_7            gp_bev  0.070902\n",
       "448           sale_gr1             ni_be  0.070894\n",
       "449           rvol_21d            ocf_at  0.070829\n",
       "450           ret_12_7            ocf_at  0.070337\n",
       "451            ret_6_0         lnoa_gr1a  0.070295\n",
       "452           ret_12_1        netdebt_me  0.070163\n",
       "453   prc_highprc_252d         lnoa_gr1a  0.069885\n",
       "454            ret_1_0    ivol_capm_252d  0.069619\n",
       "455           sale_bev            pi_nix  0.069443\n",
       "456              ni_me         cash_gr1a  0.069138\n",
       "457           sale_gr1        dsale_drec  0.069108\n",
       "458   prc_highprc_252d        chcsho_12m  0.069058\n",
       "459           sale_gr3      oaccruals_at  0.069015\n",
       "460           sale_gr3                me  0.068993\n",
       "461            ret_6_0           debt_me  0.068724\n",
       "462         dbnetis_at         cash_gr1a  0.068595\n",
       "463           sale_bev               age  0.068564\n",
       "464         netdebt_me       debtlt_gr1a  0.068451\n",
       "465              ni_me         lnoa_gr1a  0.068287\n",
       "466           ocf_debt          caliq_cl  0.068207\n",
       "467             ocf_at          debt_gr1  0.067010\n",
       "468          rmax1_21d            ocf_at  0.067000\n",
       "469            f_score        chcsho_12m  0.066880\n",
       "470           ocf_debt             ca_cl  0.066638\n",
       "471            ret_6_0            noa_at  0.066448\n",
       "472         chcsho_12m          beta_60m  0.066448\n",
       "473     ivol_capm_252d             ca_cl  0.066266\n",
       "474          cash_gr1a             be_me  0.066069\n",
       "475             ope_be      bidaskhl_21d  0.066018\n",
       "476       taccruals_at            ope_be  0.065855\n",
       "477            ret_6_1           debt_me  0.065772\n",
       "478   prc_highprc_252d          cop_atl1  0.065454\n",
       "479   prc_highprc_252d          inv_gr1a  0.065124\n",
       "480            ret_9_1          cop_atl1  0.065039\n",
       "481           sale_gr1  prc_highprc_252d  0.064949\n",
       "482         dsale_drec          caliq_cl  0.064806\n",
       "483     ret_exc_lead1m           ret_6_0  0.064510\n",
       "484             gp_bev          beta_60m  0.064469\n",
       "485             pi_nix            gp_bev  0.064447\n",
       "486   prc_highprc_252d         ebit_sale  0.064368\n",
       "487          rmax1_21d        chcsho_12m  0.064354\n",
       "488     ivol_capm_252d          caliq_cl  0.064268\n",
       "489            ret_6_1         lnoa_gr1a  0.064252\n",
       "490           ocf_debt         cash_gr1a  0.064088\n",
       "491            ret_6_0          inv_gr1a  0.063912\n",
       "492            ret_6_1           ret_1_0  0.063889\n",
       "493             ope_be           be_gr1a  0.063628\n",
       "494           sale_gr1                me  0.063537\n",
       "495             ocf_at      bidaskhl_21d  0.062794\n",
       "496           rvol_21d         lnoa_gr1a  0.062698\n",
       "497            ret_9_1        dbnetis_at  0.062614\n",
       "498         dsale_drec       debtlt_gr1a  0.062484\n",
       "499          cowc_gr1a               age  0.062444\n",
       "500          rmax1_21d             be_me  0.062411\n",
       "501            sale_me            ocf_at  0.062302\n",
       "502       taccruals_ni          debt_gr1  0.062219\n",
       "503           rvol_21d           be_gr1a  0.062131\n",
       "504          rmax1_21d             ni_me  0.062100\n",
       "505           cop_atl1               age  0.062075\n",
       "506   prc_highprc_252d            noa_at  0.062050\n",
       "507            sale_me         lnoa_gr1a  0.061744\n",
       "508            ret_9_1      oaccruals_at  0.061705\n",
       "509           ret_12_1            at_gr1  0.061659\n",
       "510            debt_me        dbnetis_at  0.061542\n",
       "511            ret_6_1            noa_at  0.061350\n",
       "512            ret_9_1        netdebt_me  0.061274\n",
       "513            sale_me          beta_60m  0.061181\n",
       "514         dsale_drec          debt_gr1  0.060725\n",
       "515           ocf_debt             be_me  0.060642\n",
       "516           ret_12_7           debt_me  0.060613\n",
       "517           sale_gr1          ret_12_1  0.060546\n",
       "518          lnoa_gr1a           f_score  0.060469\n",
       "519         netdebt_me         cash_gr1a  0.060394\n",
       "520            ret_9_1         cash_gr1a  0.060287\n",
       "521           rvol_21d          inv_gr1a  0.060081\n",
       "522            ret_6_0      oaccruals_at  0.060034\n",
       "523            sale_me         rmax1_21d  0.059989\n",
       "524            ret_6_0        dbnetis_at  0.059840\n",
       "525             ope_be          inv_gr1a  0.059717\n",
       "526       taccruals_at        netdebt_me  0.059312\n",
       "527            debt_me          cop_atl1  0.059263\n",
       "528            ret_6_1          inv_gr1a  0.059175\n",
       "529           rvol_21d            ope_be  0.058726\n",
       "530                 me          cop_atl1  0.058589\n",
       "531       taccruals_at         cash_gr1a  0.058551\n",
       "532          rmax1_21d            ope_be  0.058524\n",
       "533             ope_be        netdebt_me  0.058079\n",
       "534   prc_highprc_252d            ope_be  0.057889\n",
       "535           ret_12_1        dbnetis_at  0.057753\n",
       "536          lnoa_gr1a            gp_bev  0.057643\n",
       "537              ni_be          caliq_cl  0.057628\n",
       "538              ni_be             ca_cl  0.057492\n",
       "539           sale_gr3         cowc_gr1a  0.056936\n",
       "540            ret_6_1      oaccruals_at  0.056864\n",
       "541              ca_cl          beta_60m  0.056778\n",
       "542           tax_gr1a           ret_9_1  0.056653\n",
       "543     ret_exc_lead1m           ret_6_1  0.056625\n",
       "544            ret_6_1        dbnetis_at  0.056133\n",
       "545             noa_at        chcsho_12m  0.055968\n",
       "546            sale_me      oaccruals_at  0.055825\n",
       "547           sale_bev         cowc_gr1a  0.055018\n",
       "548            sale_me        dsale_drec  0.054903\n",
       "549     ivol_capm_252d            gp_bev  0.054738\n",
       "550            ret_9_1            noa_at  0.054732\n",
       "551   prc_highprc_252d          debt_gr1  0.054698\n",
       "552           sale_gr1             be_me  0.054643\n",
       "553           sale_gr3        dsale_drec  0.054469\n",
       "554           rvol_21d          debt_gr1  0.054425\n",
       "555           ret_12_1      oaccruals_at  0.054341\n",
       "556            ret_9_1            ocf_at  0.054262\n",
       "557            ret_9_1           f_score  0.053850\n",
       "558       bidaskhl_21d             be_me  0.053747\n",
       "559         dsale_drec             ca_cl  0.053593\n",
       "560            ret_6_0        netdebt_me  0.053570\n",
       "561             pi_nix           debt_me  0.053553\n",
       "562            ret_1_0             ni_me  0.053440\n",
       "563           ocf_debt           be_gr1a  0.053018\n",
       "564            ret_6_0         cowc_gr1a  0.052642\n",
       "565        debtlt_gr1a           debt_me  0.052447\n",
       "566           ret_12_7        netdebt_me  0.052436\n",
       "567     ivol_capm_252d          debt_gr1  0.052355\n",
       "568             pi_nix          cop_atl1  0.051999\n",
       "569            ret_6_1        netdebt_me  0.051418\n",
       "570           debt_gr1           be_gr1a  0.051402\n",
       "571       taccruals_ni             ca_cl  0.051257\n",
       "572             gp_bev           be_gr1a  0.051110\n",
       "573            sale_me          ocf_debt  0.051028\n",
       "574       taccruals_ni        netdebt_me  0.050966\n",
       "575             pi_nix          caliq_cl  0.050900\n",
       "576           tax_gr1a          sale_bev  0.050782\n",
       "577       taccruals_ni          caliq_cl  0.050762\n",
       "578     ret_exc_lead1m            at_gr1  0.050701\n",
       "579       taccruals_ni             be_me  0.050611\n",
       "580            sale_me          sale_gr3  0.050502\n",
       "581                 me            at_gr1  0.050015\n",
       "582          ebit_sale          beta_60m  0.049915\n",
       "583         netdebt_me          beta_60m  0.049856\n",
       "584           rvol_21d           ret_6_1  0.049739\n",
       "585           sale_gr3          caliq_cl  0.049648\n",
       "586            sale_me          sale_gr1  0.049313\n",
       "587   prc_highprc_252d            gp_bev  0.049136\n",
       "588             gp_bev        dsale_drec  0.049103\n",
       "589           rvol_21d            noa_at  0.048781\n",
       "590            ret_6_1         cowc_gr1a  0.048716\n",
       "591             ocf_at            noa_at  0.048601\n",
       "592             gp_bev       debtlt_gr1a  0.048573\n",
       "593         netdebt_me        chcsho_12m  0.048533\n",
       "594             pi_nix        netdebt_me  0.048374\n",
       "595           ret_12_7          inv_gr1a  0.048101\n",
       "596           caliq_cl          beta_60m  0.047871\n",
       "597   prc_highprc_252d         cowc_gr1a  0.047831\n",
       "598       taccruals_ni            at_gr1  0.047826\n",
       "599           ret_12_1        chcsho_12m  0.047786\n",
       "600         chcsho_12m         cash_gr1a  0.047760\n",
       "601           ret_12_7             ni_be  0.047625\n",
       "602            debt_me        chcsho_12m  0.047534\n",
       "603           rvol_21d         cash_gr1a  0.047470\n",
       "604   prc_highprc_252d       debtlt_gr1a  0.047291\n",
       "605                 me           f_score  0.047235\n",
       "606             ope_be        dsale_drec  0.047185\n",
       "607             pi_nix             ca_cl  0.046783\n",
       "608          lnoa_gr1a             be_me  0.046737\n",
       "609            ret_6_1          cop_atl1  0.046693\n",
       "610          rmax1_21d          debt_gr1  0.046589\n",
       "611           inv_gr1a            gp_bev  0.046587\n",
       "612          lnoa_gr1a             ca_cl  0.046318\n",
       "613           rvol_21d        dbnetis_at  0.046173\n",
       "614           rvol_21d             ni_me  0.046149\n",
       "615             pi_nix         ebit_sale  0.045903\n",
       "616            ret_6_0          cop_atl1  0.045434\n",
       "617       taccruals_at            at_gr1  0.045308\n",
       "618           sale_bev          ret_12_1  0.045197\n",
       "619            ret_9_1         cowc_gr1a  0.045184\n",
       "620           sale_bev        dsale_drec  0.045121\n",
       "621        debtlt_gr1a               age  0.044979\n",
       "622          rmax1_21d           be_gr1a  0.044798\n",
       "623     ret_exc_lead1m           ret_9_1  0.044715\n",
       "624          ebit_sale        dsale_drec  0.044712\n",
       "625           sale_gr1      bidaskhl_21d  0.044395\n",
       "626             gp_bev         cowc_gr1a  0.044366\n",
       "627          rmax1_21d         lnoa_gr1a  0.044278\n",
       "628              ni_me      bidaskhl_21d  0.044241\n",
       "629           sale_gr1          cop_atl1  0.044084\n",
       "630       taccruals_ni           debt_me  0.044084\n",
       "631            sale_me            ope_be  0.043894\n",
       "632     ivol_capm_252d          cop_atl1  0.043823\n",
       "633       taccruals_at           sale_me  0.043756\n",
       "634           rvol_21d           debt_me  0.043715\n",
       "635           cop_atl1      bidaskhl_21d  0.043624\n",
       "636            sale_me      bidaskhl_21d  0.043609\n",
       "637           ocf_debt        dbnetis_at  0.043576\n",
       "638            sale_me            noa_at  0.043403\n",
       "639           tax_gr1a  prc_highprc_252d  0.043399\n",
       "640            ret_9_1         lnoa_gr1a  0.043329\n",
       "641           debt_gr1        chcsho_12m  0.043247\n",
       "642            sale_me         cash_gr1a  0.043166\n",
       "643          lnoa_gr1a          cop_atl1  0.042952\n",
       "644           sale_gr3          beta_60m  0.042766\n",
       "645           rvol_21d           ret_9_1  0.042718\n",
       "646          rmax1_21d          inv_gr1a  0.042411\n",
       "647         dbnetis_at               age  0.042348\n",
       "648        debtlt_gr1a           be_gr1a  0.042293\n",
       "649           ocf_debt      oaccruals_at  0.042094\n",
       "650           sale_gr3             ca_cl  0.042026\n",
       "651        debtlt_gr1a        chcsho_12m  0.041898\n",
       "652           rvol_21d             ca_cl  0.041862\n",
       "653           tax_gr1a        dsale_drec  0.041816\n",
       "654           sale_gr3             be_me  0.041763\n",
       "655             noa_at             ni_be  0.041267\n",
       "656            sale_me           ret_1_0  0.041056\n",
       "657       taccruals_at           debt_me  0.041041\n",
       "658         dsale_drec        chcsho_12m  0.040902\n",
       "659           rvol_21d          caliq_cl  0.040852\n",
       "660           ret_12_7            ope_be  0.040823\n",
       "661           sale_gr1          caliq_cl  0.040718\n",
       "662           ret_12_1            noa_at  0.040717\n",
       "663          rmax1_21d          caliq_cl  0.040673\n",
       "664           sale_gr3      bidaskhl_21d  0.040616\n",
       "665           sale_gr3          ret_12_1  0.040558\n",
       "666          rmax1_21d             ca_cl  0.040497\n",
       "667           rvol_21d       debtlt_gr1a  0.040370\n",
       "668             ope_be          ocf_debt  0.040175\n",
       "669           sale_bev      oaccruals_at  0.040130\n",
       "670           inv_gr1a          caliq_cl  0.039960\n",
       "671            ret_6_0            at_gr1  0.039958\n",
       "672          ebit_sale      bidaskhl_21d  0.039949\n",
       "673           sale_bev           ret_9_1  0.039891\n",
       "674            ret_6_0       debtlt_gr1a  0.039799\n",
       "675              ni_be          beta_60m  0.039712\n",
       "676       taccruals_ni         ebit_sale  0.039669\n",
       "677            ret_9_1           ret_1_0  0.039379\n",
       "678   prc_highprc_252d      oaccruals_at  0.039322\n",
       "679             noa_at      bidaskhl_21d  0.039123\n",
       "680            ret_9_1          inv_gr1a  0.039001\n",
       "681             ocf_at         lnoa_gr1a  0.038969\n",
       "682           ret_12_7        chcsho_12m  0.038950\n",
       "683             ope_be         cash_gr1a  0.038604\n",
       "684           sale_gr3             ni_me  0.038472\n",
       "685           inv_gr1a             be_me  0.038406\n",
       "686     ret_exc_lead1m         lnoa_gr1a  0.038386\n",
       "687             ope_be         cowc_gr1a  0.038332\n",
       "688            ret_6_1            ocf_at  0.038317\n",
       "689           sale_bev    ivol_capm_252d  0.038172\n",
       "690     ret_exc_lead1m  prc_highprc_252d  0.037993\n",
       "691           sale_bev           ret_6_0  0.037988\n",
       "692           sale_gr1            gp_bev  0.037899\n",
       "693     ivol_capm_252d         cash_gr1a  0.037703\n",
       "694            f_score             be_me  0.037636\n",
       "695          rmax1_21d         cash_gr1a  0.037579\n",
       "696            f_score      bidaskhl_21d  0.037535\n",
       "697            ret_9_1        chcsho_12m  0.037522\n",
       "698            ret_1_0         lnoa_gr1a  0.037441\n",
       "699           tax_gr1a               age  0.037434\n",
       "700             gp_bev         ebit_sale  0.037417\n",
       "701           ocf_debt             ni_me  0.037232\n",
       "702         netdebt_me          cop_atl1  0.037181\n",
       "703           ocf_debt           f_score  0.036999\n",
       "704           rvol_21d          ret_12_1  0.036976\n",
       "705           tax_gr1a         cowc_gr1a  0.036961\n",
       "706            debt_me         cash_gr1a  0.036885\n",
       "707            ret_1_0            at_gr1  0.036831\n",
       "708                 me             be_me  0.036486\n",
       "709       taccruals_at  prc_highprc_252d  0.036421\n",
       "710           debt_gr1             be_me  0.036386\n",
       "711            ret_6_0            ocf_at  0.036375\n",
       "712           ocf_debt       debtlt_gr1a  0.036321\n",
       "713           rvol_21d        netdebt_me  0.036259\n",
       "714     ret_exc_lead1m            ocf_at  0.036222\n",
       "715            ret_1_0            gp_bev  0.036100\n",
       "716            sale_me             ni_me  0.035799\n",
       "717           sale_bev           ret_6_1  0.035681\n",
       "718            ret_6_1       debtlt_gr1a  0.035487\n",
       "719                 me         cowc_gr1a  0.035245\n",
       "720                 me        chcsho_12m  0.035163\n",
       "721           rvol_21d    ret_exc_lead1m  0.035136\n",
       "722           tax_gr1a        dbnetis_at  0.034941\n",
       "723            ret_6_0         ebit_sale  0.034896\n",
       "724     ret_exc_lead1m            gp_bev  0.034841\n",
       "725     ret_exc_lead1m            noa_at  0.034642\n",
       "726            ret_6_0        dsale_drec  0.034400\n",
       "727          lnoa_gr1a          caliq_cl  0.034339\n",
       "728          rmax1_21d        dbnetis_at  0.034317\n",
       "729       taccruals_at    ivol_capm_252d  0.034183\n",
       "730           ret_12_1         cowc_gr1a  0.034080\n",
       "731           tax_gr1a           debt_me  0.034038\n",
       "732           ret_12_7         lnoa_gr1a  0.033892\n",
       "733          lnoa_gr1a         cowc_gr1a  0.033682\n",
       "734            sale_me       debtlt_gr1a  0.033617\n",
       "735            ret_9_1         ebit_sale  0.033410\n",
       "736           ret_12_1                me  0.033376\n",
       "737           sale_gr1             ca_cl  0.033366\n",
       "738     ret_exc_lead1m          inv_gr1a  0.033355\n",
       "739            sale_me        dbnetis_at  0.033330\n",
       "740             noa_at           f_score  0.033321\n",
       "741           tax_gr1a           sale_me  0.033313\n",
       "742           sale_gr3         ebit_sale  0.033121\n",
       "743            ret_1_0            noa_at  0.032980\n",
       "744           sale_gr1           debt_me  0.032876\n",
       "745            ret_6_1          ret_12_7  0.032802\n",
       "746          rmax1_21d           ret_6_1  0.032694\n",
       "747                 me          beta_60m  0.032579\n",
       "748           sale_gr3          ret_12_7  0.032509\n",
       "749            ret_6_0           be_gr1a  0.032507\n",
       "750          ebit_sale       debtlt_gr1a  0.032505\n",
       "751                 me          inv_gr1a  0.032491\n",
       "752           sale_bev          ret_12_7  0.032443\n",
       "753       taccruals_ni                me  0.032388\n",
       "754         dsale_drec               age  0.032339\n",
       "755       oaccruals_at               age  0.032278\n",
       "756             noa_at          cop_atl1  0.032152\n",
       "757     ret_exc_lead1m           be_gr1a  0.032104\n",
       "758           rvol_21d           ret_1_0  0.032068\n",
       "759            ret_1_0          inv_gr1a  0.032066\n",
       "760           tax_gr1a      taccruals_ni  0.031997\n",
       "761           sale_gr1           f_score  0.031966\n",
       "762     ret_exc_lead1m           ret_1_0  0.031772\n",
       "763           ret_12_1         ebit_sale  0.031742\n",
       "764            ret_6_1            at_gr1  0.031631\n",
       "765       oaccruals_at        netdebt_me  0.031549\n",
       "766           tax_gr1a        netdebt_me  0.031513\n",
       "767          rmax1_21d       debtlt_gr1a  0.031302\n",
       "768           ret_12_1            ope_be  0.031263\n",
       "769          rmax1_21d            noa_at  0.030937\n",
       "770            ret_1_0           be_gr1a  0.030892\n",
       "771            debt_me            at_gr1  0.030677\n",
       "772           ocf_debt          beta_60m  0.030675\n",
       "773            ret_6_1         ebit_sale  0.030624\n",
       "774           sale_gr3            gp_bev  0.030583\n",
       "775           sale_gr3           ret_9_1  0.030501\n",
       "776       taccruals_at          rvol_21d  0.030380\n",
       "777             noa_at         cash_gr1a  0.030317\n",
       "778                 me          debt_gr1  0.030293\n",
       "779           ocf_debt         cowc_gr1a  0.030284\n",
       "780           sale_bev        chcsho_12m  0.030188\n",
       "781       oaccruals_at          beta_60m  0.030074\n",
       "782            ret_6_0             ni_be  0.030049\n",
       "783            debt_me               age  0.029971\n",
       "784       bidaskhl_21d            at_gr1  0.029821\n",
       "785         dsale_drec         cash_gr1a  0.029645\n",
       "786     ret_exc_lead1m        dbnetis_at  0.029552\n",
       "787             pi_nix            at_gr1  0.029502\n",
       "788            ret_9_1           be_gr1a  0.029501\n",
       "789       taccruals_ni           f_score  0.029490\n",
       "790           inv_gr1a        dsale_drec  0.029361\n",
       "791       taccruals_ni            ope_be  0.029360\n",
       "792            ret_6_1      bidaskhl_21d  0.029324\n",
       "793            ret_1_0           debt_me  0.029261\n",
       "794            sale_me          debt_gr1  0.029200\n",
       "795             pi_nix                me  0.028946\n",
       "796             pi_nix         cash_gr1a  0.028712\n",
       "797     ret_exc_lead1m            ope_be  0.028513\n",
       "798                 me           be_gr1a  0.028503\n",
       "799            ret_6_1        dsale_drec  0.028492\n",
       "800            ret_9_1          beta_60m  0.028396\n",
       "801          cash_gr1a          beta_60m  0.028298\n",
       "802          rmax1_21d           ret_9_1  0.028231\n",
       "803     ret_exc_lead1m        dsale_drec  0.028226\n",
       "804           ret_12_1      bidaskhl_21d  0.028097\n",
       "805         dbnetis_at             ca_cl  0.028081\n",
       "806         dbnetis_at        chcsho_12m  0.028071\n",
       "807          ebit_sale        dbnetis_at  0.028069\n",
       "808         dsale_drec             be_me  0.028067\n",
       "809           ret_12_1          beta_60m  0.027951\n",
       "810          rmax1_21d          ret_12_1  0.027905\n",
       "811            ret_9_1                me  0.027802\n",
       "812             gp_bev             ca_cl  0.027801\n",
       "813           tax_gr1a           ret_6_1  0.027774\n",
       "814            ret_1_0               age  0.027771\n",
       "815            ret_9_1      bidaskhl_21d  0.027702\n",
       "816            ret_6_0      bidaskhl_21d  0.027621\n",
       "817           ret_12_7        dbnetis_at  0.027436\n",
       "818          lnoa_gr1a           debt_me  0.027376\n",
       "819     ret_exc_lead1m          ret_12_1  0.027290\n",
       "820             pi_nix        dsale_drec  0.027285\n",
       "821           sale_gr1           ret_9_1  0.027195\n",
       "822   prc_highprc_252d             ni_me  0.027171\n",
       "823           sale_gr3           ret_6_0  0.027084\n",
       "824            ret_9_1       debtlt_gr1a  0.026991\n",
       "825            ret_1_0        dbnetis_at  0.026953\n",
       "826         netdebt_me      bidaskhl_21d  0.026754\n",
       "827       oaccruals_at           debt_me  0.026666\n",
       "828          ebit_sale         cowc_gr1a  0.026654\n",
       "829       taccruals_ni  prc_highprc_252d  0.026539\n",
       "830          cowc_gr1a          beta_60m  0.026536\n",
       "831           rvol_21d         cowc_gr1a  0.026445\n",
       "832       taccruals_ni         cash_gr1a  0.026396\n",
       "833       taccruals_at           f_score  0.026333\n",
       "834     ret_exc_lead1m       debtlt_gr1a  0.026285\n",
       "835           sale_bev         rmax1_21d  0.026158\n",
       "836             noa_at    ivol_capm_252d  0.026135\n",
       "837          rmax1_21d           debt_me  0.026010\n",
       "838       taccruals_at         rmax1_21d  0.025957\n",
       "839       taccruals_at          inv_gr1a  0.025947\n",
       "840          rmax1_21d          cop_atl1  0.025907\n",
       "841     ret_exc_lead1m          cop_atl1  0.025648\n",
       "842           ocf_debt         ebit_sale  0.025558\n",
       "843           tax_gr1a          ocf_debt  0.025450\n",
       "844           rvol_21d           ret_6_0  0.025303\n",
       "845           sale_gr1            pi_nix  0.025268\n",
       "846          rmax1_21d          ret_12_7  0.025256\n",
       "847        debtlt_gr1a             be_me  0.025248\n",
       "848       taccruals_at          sale_bev  0.025142\n",
       "849           tax_gr1a           ret_6_0  0.025117\n",
       "850           ocf_debt         lnoa_gr1a  0.024903\n",
       "851           sale_gr3          cop_atl1  0.024881\n",
       "852       taccruals_ni    ivol_capm_252d  0.024792\n",
       "853     ivol_capm_252d           debt_me  0.024769\n",
       "854             gp_bev           f_score  0.024715\n",
       "855           rvol_21d          ret_12_7  0.024429\n",
       "856            f_score           debt_me  0.024416\n",
       "857           sale_gr3           ret_6_1  0.024366\n",
       "858           inv_gr1a           debt_me  0.024361\n",
       "859         dsale_drec          beta_60m  0.024353\n",
       "860            ret_1_0       debtlt_gr1a  0.024304\n",
       "861          lnoa_gr1a    ivol_capm_252d  0.024252\n",
       "862           sale_gr1    ret_exc_lead1m  0.024235\n",
       "863            ret_6_1             ni_be  0.024089\n",
       "864           sale_bev          rvol_21d  0.024016\n",
       "865     ret_exc_lead1m         cowc_gr1a  0.024015\n",
       "866           inv_gr1a           f_score  0.023988\n",
       "867            ret_1_0      oaccruals_at  0.023925\n",
       "868            ret_6_1           be_gr1a  0.023922\n",
       "869           rvol_21d          cop_atl1  0.023811\n",
       "870       oaccruals_at    ivol_capm_252d  0.023723\n",
       "871           ocf_debt                me  0.023709\n",
       "872          rmax1_21d            gp_bev  0.023670\n",
       "873         netdebt_me    ivol_capm_252d  0.023669\n",
       "874         dbnetis_at          caliq_cl  0.023588\n",
       "875            ret_1_0        dsale_drec  0.023558\n",
       "876              ca_cl      bidaskhl_21d  0.023340\n",
       "877     ivol_capm_252d       debtlt_gr1a  0.023179\n",
       "878            ret_1_0         cowc_gr1a  0.023050\n",
       "879   prc_highprc_252d             ca_cl  0.022997\n",
       "880            ret_1_0          ret_12_1  0.022962\n",
       "881          rmax1_21d    ret_exc_lead1m  0.022948\n",
       "882              ni_me          beta_60m  0.022850\n",
       "883             pi_nix    ivol_capm_252d  0.022797\n",
       "884           sale_gr3          ocf_debt  0.022655\n",
       "885           sale_gr1            ope_be  0.022627\n",
       "886         dsale_drec           debt_me  0.022545\n",
       "887           sale_gr3           debt_me  0.022526\n",
       "888            ret_1_0        netdebt_me  0.022481\n",
       "889           sale_gr3             ni_be  0.022269\n",
       "890           sale_bev             ca_cl  0.022253\n",
       "891   prc_highprc_252d          ocf_debt  0.022246\n",
       "892            ret_6_1        chcsho_12m  0.022231\n",
       "893            ret_6_1         cash_gr1a  0.021963\n",
       "894          rmax1_21d        netdebt_me  0.021887\n",
       "895       oaccruals_at         ebit_sale  0.021870\n",
       "896            ret_6_0                me  0.021778\n",
       "897           ret_12_7                me  0.021778\n",
       "898           sale_bev          caliq_cl  0.021677\n",
       "899       taccruals_ni          ocf_debt  0.021676\n",
       "900           sale_gr1         ebit_sale  0.021491\n",
       "901            debt_me          debt_gr1  0.021449\n",
       "902            ret_6_0        chcsho_12m  0.021397\n",
       "903       taccruals_ni         cowc_gr1a  0.021234\n",
       "904            ret_1_0          ret_12_7  0.021192\n",
       "905           tax_gr1a      taccruals_at  0.020946\n",
       "906           ret_12_7      oaccruals_at  0.020726\n",
       "907            sale_me        chcsho_12m  0.020626\n",
       "908            ret_6_0          ret_12_7  0.020595\n",
       "909         chcsho_12m      bidaskhl_21d  0.020566\n",
       "910           ocf_debt        chcsho_12m  0.020548\n",
       "911            debt_me      bidaskhl_21d  0.020541\n",
       "912     ret_exc_lead1m      oaccruals_at  0.020461\n",
       "913           caliq_cl      bidaskhl_21d  0.020446\n",
       "914              ni_me             ca_cl  0.020410\n",
       "915            sale_me    ret_exc_lead1m  0.020355\n",
       "916              ni_me          caliq_cl  0.020355\n",
       "917             ope_be        dbnetis_at  0.020282\n",
       "918            ret_6_1                me  0.020213\n",
       "919     ivol_capm_252d           be_gr1a  0.020190\n",
       "920     ret_exc_lead1m          debt_gr1  0.020023\n",
       "921           sale_bev          inv_gr1a  0.020013\n",
       "922            ret_6_0          beta_60m  0.019967\n",
       "923         netdebt_me        dsale_drec  0.019943\n",
       "924   prc_highprc_252d          caliq_cl  0.019816\n",
       "925         netdebt_me           f_score  0.019671\n",
       "926             ope_be         lnoa_gr1a  0.019538\n",
       "927            ret_9_1        dsale_drec  0.019499\n",
       "928             pi_nix          ocf_debt  0.019326\n",
       "929           cop_atl1            at_gr1  0.019220\n",
       "930       taccruals_ni               age  0.018827\n",
       "931     ret_exc_lead1m             ni_be  0.018731\n",
       "932             ope_be       debtlt_gr1a  0.018464\n",
       "933             gp_bev          caliq_cl  0.018417\n",
       "934           beta_60m           be_gr1a  0.018350\n",
       "935       taccruals_ni          rvol_21d  0.018319\n",
       "936         netdebt_me               age  0.018297\n",
       "937          rmax1_21d         cowc_gr1a  0.018102\n",
       "938            sale_me         cowc_gr1a  0.018085\n",
       "939         netdebt_me            at_gr1  0.017965\n",
       "940           ret_12_7      bidaskhl_21d  0.017773\n",
       "941            ret_6_1          beta_60m  0.017727\n",
       "942           sale_gr1        netdebt_me  0.017632\n",
       "943           sale_gr1          ocf_debt  0.017581\n",
       "944             pi_nix               age  0.017543\n",
       "945         netdebt_me          debt_gr1  0.017492\n",
       "946             gp_bev            at_gr1  0.017476\n",
       "947           debt_gr1         cash_gr1a  0.017394\n",
       "948     ivol_capm_252d        dbnetis_at  0.017394\n",
       "949                 me         lnoa_gr1a  0.017354\n",
       "950        debtlt_gr1a          beta_60m  0.017311\n",
       "951              ni_me          debt_gr1  0.017168\n",
       "952             gp_bev          debt_gr1  0.017104\n",
       "953             ocf_at          beta_60m  0.017099\n",
       "954       taccruals_ni          sale_bev  0.017091\n",
       "955            ret_1_0         ebit_sale  0.016983\n",
       "956             pi_nix         cowc_gr1a  0.016921\n",
       "957             ope_be            noa_at  0.016918\n",
       "958          lnoa_gr1a         cash_gr1a  0.016644\n",
       "959       taccruals_at          beta_60m  0.016558\n",
       "960     ivol_capm_252d          inv_gr1a  0.016546\n",
       "961           sale_bev           ret_1_0  0.016451\n",
       "962       taccruals_at         ebit_sale  0.016428\n",
       "963     ret_exc_lead1m        chcsho_12m  0.016406\n",
       "964                 me         cash_gr1a  0.016382\n",
       "965            ret_6_0         cash_gr1a  0.016298\n",
       "966       oaccruals_at        chcsho_12m  0.016210\n",
       "967             noa_at               age  0.016131\n",
       "968           sale_gr1           ret_1_0  0.016018\n",
       "969     ret_exc_lead1m             ni_me  0.015953\n",
       "970           sale_bev           f_score  0.015944\n",
       "971            ret_6_0          debt_gr1  0.015935\n",
       "972          ebit_sale          debt_gr1  0.015827\n",
       "973           ret_12_7          beta_60m  0.015773\n",
       "974           beta_60m               age  0.015456\n",
       "975            ret_9_1            ope_be  0.015375\n",
       "976       taccruals_at      bidaskhl_21d  0.015365\n",
       "977            ret_1_0             ni_be  0.015224\n",
       "978           sale_bev    ret_exc_lead1m  0.015198\n",
       "979       taccruals_ni         rmax1_21d  0.015169\n",
       "980           ret_12_7        dsale_drec  0.015138\n",
       "981           debt_gr1      bidaskhl_21d  0.014872\n",
       "982     ivol_capm_252d        dsale_drec  0.014821\n",
       "983             pi_nix            ocf_at  0.014685\n",
       "984              ni_me       debtlt_gr1a  0.014620\n",
       "985            ret_9_1             ni_be  0.014419\n",
       "986                 me           debt_me  0.014406\n",
       "987         netdebt_me         lnoa_gr1a  0.014383\n",
       "988            ret_6_1          debt_gr1  0.014367\n",
       "989           caliq_cl             be_me  0.014361\n",
       "990     ret_exc_lead1m      bidaskhl_21d  0.014344\n",
       "991           inv_gr1a          cop_atl1  0.014265\n",
       "992            f_score            at_gr1  0.013971\n",
       "993             ope_be          beta_60m  0.013914\n",
       "994            sale_me           f_score  0.013697\n",
       "995           tax_gr1a    ivol_capm_252d  0.013691\n",
       "996             pi_nix            noa_at  0.013690\n",
       "997       taccruals_at        chcsho_12m  0.013628\n",
       "998              ni_me            gp_bev  0.013568\n",
       "999       taccruals_ni          beta_60m  0.013502\n",
       "1000          rvol_21d        dsale_drec  0.013225\n",
       "1001          ret_12_1         lnoa_gr1a  0.013198\n",
       "1002          rvol_21d            gp_bev  0.013154\n",
       "1003      taccruals_ni      bidaskhl_21d  0.013120\n",
       "1004          ret_12_7       debtlt_gr1a  0.013102\n",
       "1005          ocf_debt          debt_gr1  0.013041\n",
       "1006            pi_nix         lnoa_gr1a  0.012759\n",
       "1007        netdebt_me          inv_gr1a  0.012750\n",
       "1008             ni_be       debtlt_gr1a  0.012596\n",
       "1009          sale_gr3            ocf_at  0.012537\n",
       "1010           ret_6_1           f_score  0.012535\n",
       "1011      taccruals_at          sale_gr3  0.012496\n",
       "1012           ret_9_1          debt_gr1  0.012491\n",
       "1013            ope_be          debt_gr1  0.012468\n",
       "1014          tax_gr1a          debt_gr1  0.012445\n",
       "1015                me        dsale_drec  0.012419\n",
       "1016           ret_9_1          ocf_debt  0.012247\n",
       "1017          ret_12_1          ocf_debt  0.012157\n",
       "1018            gp_bev        chcsho_12m  0.011951\n",
       "1019          ret_12_7            pi_nix  0.011791\n",
       "1020    ret_exc_lead1m         cash_gr1a  0.011727\n",
       "1021        chcsho_12m          caliq_cl  0.011597\n",
       "1022          ret_12_1             ni_be  0.011575\n",
       "1023          sale_bev      bidaskhl_21d  0.011545\n",
       "1024            ope_be            at_gr1  0.011538\n",
       "1025           ret_1_0         cash_gr1a  0.011526\n",
       "1026          ret_12_1       debtlt_gr1a  0.011514\n",
       "1027          sale_gr3            pi_nix  0.011497\n",
       "1028      taccruals_ni        dsale_drec  0.011434\n",
       "1029          tax_gr1a      bidaskhl_21d  0.011431\n",
       "1030           ret_1_0          debt_gr1  0.011331\n",
       "1031          ocf_debt        dsale_drec  0.011182\n",
       "1032       debtlt_gr1a             ca_cl  0.011138\n",
       "1033          ocf_debt          inv_gr1a  0.011135\n",
       "1034          sale_gr3           ret_1_0  0.011121\n",
       "1035          sale_bev             ni_me  0.010965\n",
       "1036      taccruals_at          sale_gr1  0.010913\n",
       "1037          rvol_21d      oaccruals_at  0.010768\n",
       "1038    ret_exc_lead1m           f_score  0.010728\n",
       "1039           ret_6_0            pi_nix  0.010458\n",
       "1040      taccruals_ni          ret_12_7  0.010458\n",
       "1041           ret_1_0          cop_atl1  0.010389\n",
       "1042    ret_exc_lead1m         ebit_sale  0.010361\n",
       "1043           ret_1_0            ocf_at  0.010220\n",
       "1044    ret_exc_lead1m                me  0.010137\n",
       "1045           ret_1_0      bidaskhl_21d  0.010119\n",
       "1046      taccruals_at    ret_exc_lead1m  0.010112\n",
       "1047      taccruals_at        dsale_drec  0.010019\n",
       "1048         lnoa_gr1a         ebit_sale  0.009977\n",
       "1049          sale_gr1            ocf_at  0.009800\n",
       "1050          ocf_debt      bidaskhl_21d  0.009684\n",
       "1051          debt_gr1          cop_atl1  0.009673\n",
       "1052        netdebt_me         cowc_gr1a  0.009592\n",
       "1053           ret_6_0          ocf_debt  0.009566\n",
       "1054           ret_6_1          ocf_debt  0.009543\n",
       "1055          cop_atl1          beta_60m  0.009483\n",
       "1056          tax_gr1a       debtlt_gr1a  0.009386\n",
       "1057       debtlt_gr1a          caliq_cl  0.009337\n",
       "1058          ocf_debt            at_gr1  0.009307\n",
       "1059         cowc_gr1a        chcsho_12m  0.009294\n",
       "1060       debtlt_gr1a      bidaskhl_21d  0.009223\n",
       "1061          sale_bev          beta_60m  0.009146\n",
       "1062          beta_60m            at_gr1  0.009100\n",
       "1063    ret_exc_lead1m            pi_nix  0.009054\n",
       "1064           ret_9_1            at_gr1  0.009007\n",
       "1065           ret_1_0            pi_nix  0.008997\n",
       "1066          ret_12_7          ocf_debt  0.008982\n",
       "1067          tax_gr1a            noa_at  0.008972\n",
       "1068         rmax1_21d        dsale_drec  0.008916\n",
       "1069          sale_bev           be_gr1a  0.008793\n",
       "1070            noa_at                me  0.008751\n",
       "1071          ret_12_1          caliq_cl  0.008642\n",
       "1072          tax_gr1a          rvol_21d  0.008640\n",
       "1073          inv_gr1a        chcsho_12m  0.008575\n",
       "1074          ret_12_7          caliq_cl  0.008526\n",
       "1075           ret_6_1            ope_be  0.008372\n",
       "1076      taccruals_ni        chcsho_12m  0.008334\n",
       "1077            gp_bev      bidaskhl_21d  0.008217\n",
       "1078            pi_nix        chcsho_12m  0.008056\n",
       "1079          sale_gr1          sale_bev  0.007976\n",
       "1080           ret_1_0           f_score  0.007969\n",
       "1081          inv_gr1a          beta_60m  0.007952\n",
       "1082            pi_nix        dbnetis_at  0.007943\n",
       "1083      taccruals_at          ret_12_7  0.007941\n",
       "1084      taccruals_ni            gp_bev  0.007879\n",
       "1085      taccruals_ni          sale_gr1  0.007877\n",
       "1086          sale_bev  prc_highprc_252d  0.007802\n",
       "1087      taccruals_at          ocf_debt  0.007714\n",
       "1088             ni_be          debt_gr1  0.007702\n",
       "1089            pi_nix             be_me  0.007544\n",
       "1090          ret_12_1          debt_gr1  0.007440\n",
       "1091           ret_6_1            pi_nix  0.007384\n",
       "1092            pi_nix      bidaskhl_21d  0.007380\n",
       "1093           ret_6_0            ope_be  0.007368\n",
       "1094          sale_gr3        netdebt_me  0.007319\n",
       "1095  prc_highprc_252d           be_gr1a  0.007175\n",
       "1096    ret_exc_lead1m          beta_60m  0.007146\n",
       "1097      oaccruals_at                me  0.007099\n",
       "1098             ni_me           debt_me  0.007063\n",
       "1099          tax_gr1a         rmax1_21d  0.006994\n",
       "1100         cowc_gr1a             be_me  0.006853\n",
       "1101  prc_highprc_252d            pi_nix  0.006767\n",
       "1102          ret_12_7         cowc_gr1a  0.006743\n",
       "1103           ret_1_0          beta_60m  0.006674\n",
       "1104             ca_cl             be_me  0.006670\n",
       "1105           ret_6_0           f_score  0.006633\n",
       "1106           sale_me               age  0.006552\n",
       "1107        dbnetis_at      bidaskhl_21d  0.006444\n",
       "1108      taccruals_at          ret_12_1  0.006364\n",
       "1109      taccruals_at           ret_6_0  0.006341\n",
       "1110            noa_at          beta_60m  0.006280\n",
       "1111      taccruals_at            gp_bev  0.006252\n",
       "1112    ret_exc_lead1m          ocf_debt  0.006213\n",
       "1113      taccruals_at           ret_9_1  0.006186\n",
       "1114    ret_exc_lead1m          caliq_cl  0.006165\n",
       "1115        chcsho_12m             ca_cl  0.006071\n",
       "1116         cowc_gr1a      bidaskhl_21d  0.006070\n",
       "1117    ret_exc_lead1m               age  0.006003\n",
       "1118        dbnetis_at             be_me  0.005945\n",
       "1119          tax_gr1a          caliq_cl  0.005861\n",
       "1120             ni_be        dbnetis_at  0.005852\n",
       "1121      taccruals_at           ret_1_0  0.005847\n",
       "1122             ni_me        netdebt_me  0.005800\n",
       "1123  prc_highprc_252d         cash_gr1a  0.005792\n",
       "1124          sale_bev            at_gr1  0.005788\n",
       "1125          ret_12_7             ca_cl  0.005784\n",
       "1126    ret_exc_lead1m             ca_cl  0.005745\n",
       "1127           f_score          beta_60m  0.005733\n",
       "1128        dbnetis_at          beta_60m  0.005730\n",
       "1129      taccruals_at           ret_6_1  0.005708\n",
       "1130      taccruals_ni          ret_12_1  0.005614\n",
       "1131                me        dbnetis_at  0.005551\n",
       "1132          tax_gr1a                me  0.005509\n",
       "1133      taccruals_ni    ret_exc_lead1m  0.005493\n",
       "1134         ebit_sale         cash_gr1a  0.005301\n",
       "1135      oaccruals_at      bidaskhl_21d  0.005277\n",
       "1136          ret_12_1             ca_cl  0.005264\n",
       "1137          tax_gr1a             ca_cl  0.005192\n",
       "1138         lnoa_gr1a          beta_60m  0.005031\n",
       "1139          sale_bev          debt_gr1  0.004971\n",
       "1140          ret_12_7         ebit_sale  0.004889\n",
       "1141      oaccruals_at             be_me  0.004866\n",
       "1142            pi_nix           f_score  0.004815\n",
       "1143          sale_gr1           ret_6_0  0.004698\n",
       "1144          debt_gr1          beta_60m  0.004590\n",
       "1145           debt_me         cowc_gr1a  0.004571\n",
       "1146           ret_9_1          caliq_cl  0.004435\n",
       "1147      bidaskhl_21d           be_gr1a  0.004401\n",
       "1148    ret_exc_lead1m             be_me  0.004367\n",
       "1149          ret_12_1        dsale_drec  0.004311\n",
       "1150          rvol_21d          ocf_debt  0.004288\n",
       "1151            pi_nix       debtlt_gr1a  0.004275\n",
       "1152  prc_highprc_252d        dsale_drec  0.004227\n",
       "1153           ret_9_1            pi_nix  0.004207\n",
       "1154          tax_gr1a          beta_60m  0.004122\n",
       "1155           ret_1_0          ocf_debt  0.004085\n",
       "1156           ret_1_0                me  0.003958\n",
       "1157      taccruals_ni           ret_9_1  0.003919\n",
       "1158          ocf_debt    ivol_capm_252d  0.003794\n",
       "1159          inv_gr1a      bidaskhl_21d  0.003758\n",
       "1160      taccruals_ni           ret_1_0  0.003712\n",
       "1161          sale_gr3            ope_be  0.003640\n",
       "1162      taccruals_at                me  0.003603\n",
       "1163    ret_exc_lead1m          ret_12_7  0.003480\n",
       "1164          ocf_debt               age  0.003429\n",
       "1165         rmax1_21d      oaccruals_at  0.003421\n",
       "1166      taccruals_at             be_me  0.003416\n",
       "1167             ni_me        dbnetis_at  0.003293\n",
       "1168      taccruals_ni           ret_6_0  0.003145\n",
       "1169          inv_gr1a             ca_cl  0.003086\n",
       "1170      taccruals_ni           ret_6_1  0.003072\n",
       "1171           f_score         cowc_gr1a  0.003019\n",
       "1172          tax_gr1a      oaccruals_at  0.002940\n",
       "1173    ret_exc_lead1m        netdebt_me  0.002937\n",
       "1174          ret_12_1          inv_gr1a  0.002875\n",
       "1175          tax_gr1a    ret_exc_lead1m  0.002806\n",
       "1176          debt_gr1             ca_cl  0.002794\n",
       "1177          sale_gr3    ret_exc_lead1m  0.002760\n",
       "1178          inv_gr1a         cash_gr1a  0.002751\n",
       "1179         cash_gr1a      bidaskhl_21d  0.002735\n",
       "1180           sale_me          inv_gr1a  0.002725\n",
       "1181          ret_12_1            pi_nix  0.002685\n",
       "1182            pi_nix          inv_gr1a  0.002579\n",
       "1183      taccruals_at               age  0.002571\n",
       "1184           ret_1_0             ca_cl  0.002484\n",
       "1185          tax_gr1a           ret_1_0  0.002442\n",
       "1186          tax_gr1a        chcsho_12m  0.002375\n",
       "1187           ret_1_0          caliq_cl  0.002303\n",
       "1188    ret_exc_lead1m           debt_me  0.002240\n",
       "1189           ret_1_0            ope_be  0.002196\n",
       "1190           ret_6_0             ca_cl  0.002184\n",
       "1191           ret_9_1             ca_cl  0.002152\n",
       "1192          sale_gr1          beta_60m  0.002148\n",
       "1193         rmax1_21d            pi_nix  0.002140\n",
       "1194          sale_gr3          sale_bev  0.002119\n",
       "1195         ebit_sale            at_gr1  0.002056\n",
       "1196    ivol_capm_252d         cowc_gr1a  0.001987\n",
       "1197       debtlt_gr1a          cop_atl1  0.001761\n",
       "1198            pi_nix          debt_gr1  0.001723\n",
       "1199         rmax1_21d          ocf_debt  0.001509\n",
       "1200           ret_6_1             ca_cl  0.001392\n",
       "1201    ret_exc_lead1m    ivol_capm_252d  0.001367\n",
       "1202        chcsho_12m             be_me  0.001310\n",
       "1203         lnoa_gr1a      bidaskhl_21d  0.001298\n",
       "1204             ni_me        dsale_drec  0.001287\n",
       "1205        dsale_drec      bidaskhl_21d  0.001243\n",
       "1206          ret_12_7             ni_me  0.001164\n",
       "1207          ret_12_7            noa_at  0.001054\n",
       "1208          sale_gr1           ret_6_1  0.000977\n",
       "1209          rvol_21d            pi_nix  0.000947\n",
       "1210           ret_1_0        chcsho_12m  0.000937\n",
       "1211          inv_gr1a         ebit_sale  0.000934\n",
       "1212          ret_12_7    ivol_capm_252d  0.000876\n",
       "1213      taccruals_ni          inv_gr1a  0.000841\n",
       "1214           ret_6_0          caliq_cl  0.000762\n",
       "1215                me       debtlt_gr1a  0.000698\n",
       "1216          tax_gr1a         lnoa_gr1a  0.000612\n",
       "1217        netdebt_me                me  0.000531\n",
       "1218          ret_12_7          debt_gr1  0.000419\n",
       "1219             ni_be        dsale_drec  0.000352\n",
       "1220            pi_nix          beta_60m  0.000349\n",
       "1221        dbnetis_at           be_gr1a  0.000308\n",
       "1222      taccruals_ni          sale_gr3  0.000213\n",
       "1223          debt_gr1          caliq_cl  0.000175\n",
       "1224           ret_6_1          caliq_cl  0.000138"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option(\"display.max_rows\", None, \"display.max_columns\", None)\n",
    "c = df_2[features].corr().abs()\n",
    "s = c.unstack()\n",
    "so = s.sort_values(kind=\"quicksort\").reset_index()\n",
    "so.columns = ['Variable 1','Variable 2', 'corr']\n",
    "so = so.sort_values(by = ['corr', 'Variable 1'], ascending = False)\n",
    "so = so[so['corr']!=1]\n",
    "so = so.iloc[::2].reset_index(drop=True)\n",
    "so"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "so.to_excel(r'C:\\Users\\krist\\Documents\\Data\\EDA\\variable_correlation.xlsx')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Correlation of the stock level characteristics with the target variable (ret_exc_lead1m)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>ret_exc_lead1m</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ret_exc_lead1m</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ret_6_0</th>\n",
       "      <td>0.064510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ret_6_1</th>\n",
       "      <td>0.056625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>at_gr1</th>\n",
       "      <td>0.050701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ret_9_1</th>\n",
       "      <td>0.044715</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>lnoa_gr1a</th>\n",
       "      <td>0.038386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prc_highprc_252d</th>\n",
       "      <td>0.037993</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocf_at</th>\n",
       "      <td>0.036222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rvol_21d</th>\n",
       "      <td>0.035136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gp_bev</th>\n",
       "      <td>0.034841</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>noa_at</th>\n",
       "      <td>0.034642</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>inv_gr1a</th>\n",
       "      <td>0.033355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>be_gr1a</th>\n",
       "      <td>0.032104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ret_1_0</th>\n",
       "      <td>0.031772</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dbnetis_at</th>\n",
       "      <td>0.029552</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ret_exc</th>\n",
       "      <td>0.029445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ret</th>\n",
       "      <td>0.029323</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ope_be</th>\n",
       "      <td>0.028513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dsale_drec</th>\n",
       "      <td>0.028226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ret_12_1</th>\n",
       "      <td>0.027290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>debtlt_gr1a</th>\n",
       "      <td>0.026285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cop_atl1</th>\n",
       "      <td>0.025648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sale_gr1</th>\n",
       "      <td>0.024235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cowc_gr1a</th>\n",
       "      <td>0.024015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rmax1_21d</th>\n",
       "      <td>0.022948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oaccruals_at</th>\n",
       "      <td>0.020461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sale_me</th>\n",
       "      <td>0.020355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>debt_gr1</th>\n",
       "      <td>0.020023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ni_be</th>\n",
       "      <td>0.018731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chcsho_12m</th>\n",
       "      <td>0.016406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ni_me</th>\n",
       "      <td>0.015953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sale_bev</th>\n",
       "      <td>0.015198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bidaskhl_21d</th>\n",
       "      <td>0.014344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cash_gr1a</th>\n",
       "      <td>0.011727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>f_score</th>\n",
       "      <td>0.010728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ebit_sale</th>\n",
       "      <td>0.010361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>me</th>\n",
       "      <td>0.010137</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taccruals_at</th>\n",
       "      <td>0.010112</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pi_nix</th>\n",
       "      <td>0.009054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>beta_60m</th>\n",
       "      <td>0.007146</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ocf_debt</th>\n",
       "      <td>0.006213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>caliq_cl</th>\n",
       "      <td>0.006165</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>age</th>\n",
       "      <td>0.006003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ca_cl</th>\n",
       "      <td>0.005745</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>taccruals_ni</th>\n",
       "      <td>0.005493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>be_me</th>\n",
       "      <td>0.004367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ret_12_7</th>\n",
       "      <td>0.003480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>netdebt_me</th>\n",
       "      <td>0.002937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tax_gr1a</th>\n",
       "      <td>0.002806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sale_gr3</th>\n",
       "      <td>0.002760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>prc</th>\n",
       "      <td>0.002392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>debt_me</th>\n",
       "      <td>0.002240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ivol_capm_252d</th>\n",
       "      <td>0.001367</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  ret_exc_lead1m\n",
       "ret_exc_lead1m          1.000000\n",
       "ret_6_0                 0.064510\n",
       "ret_6_1                 0.056625\n",
       "at_gr1                  0.050701\n",
       "ret_9_1                 0.044715\n",
       "lnoa_gr1a               0.038386\n",
       "prc_highprc_252d        0.037993\n",
       "ocf_at                  0.036222\n",
       "rvol_21d                0.035136\n",
       "gp_bev                  0.034841\n",
       "noa_at                  0.034642\n",
       "inv_gr1a                0.033355\n",
       "be_gr1a                 0.032104\n",
       "ret_1_0                 0.031772\n",
       "dbnetis_at              0.029552\n",
       "ret_exc                 0.029445\n",
       "ret                     0.029323\n",
       "ope_be                  0.028513\n",
       "dsale_drec              0.028226\n",
       "ret_12_1                0.027290\n",
       "debtlt_gr1a             0.026285\n",
       "cop_atl1                0.025648\n",
       "sale_gr1                0.024235\n",
       "cowc_gr1a               0.024015\n",
       "rmax1_21d               0.022948\n",
       "oaccruals_at            0.020461\n",
       "sale_me                 0.020355\n",
       "debt_gr1                0.020023\n",
       "ni_be                   0.018731\n",
       "chcsho_12m              0.016406\n",
       "ni_me                   0.015953\n",
       "sale_bev                0.015198\n",
       "bidaskhl_21d            0.014344\n",
       "cash_gr1a               0.011727\n",
       "f_score                 0.010728\n",
       "ebit_sale               0.010361\n",
       "me                      0.010137\n",
       "taccruals_at            0.010112\n",
       "pi_nix                  0.009054\n",
       "beta_60m                0.007146\n",
       "ocf_debt                0.006213\n",
       "caliq_cl                0.006165\n",
       "age                     0.006003\n",
       "ca_cl                   0.005745\n",
       "taccruals_ni            0.005493\n",
       "be_me                   0.004367\n",
       "ret_12_7                0.003480\n",
       "netdebt_me              0.002937\n",
       "tax_gr1a                0.002806\n",
       "sale_gr3                0.002760\n",
       "prc                     0.002392\n",
       "debt_me                 0.002240\n",
       "ivol_capm_252d          0.001367"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option(\"display.max_rows\", None, \"display.max_columns\", None)\n",
    "correlation = df_2.corr()[\"ret_exc_lead1m\"].abs().sort_values(ascending = False)\n",
    "corr_df = pd.DataFrame(correlation)\n",
    "corr_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_df.to_excel(r'C:\\Users\\krist\\Documents\\Data\\EDA\\target_correlation.xlsx')"
   ]
  }
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