old ones/ML PCA Feature Importance.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# lib\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import datetime as dt\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns; sns.set()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>open</th>\n",
       "      <th>high</th>\n",
       "      <th>low</th>\n",
       "      <th>close</th>\n",
       "      <th>volume</th>\n",
       "      <th>close_time</th>\n",
       "      <th>quote_av</th>\n",
       "      <th>trades</th>\n",
       "      <th>tb_base_av</th>\n",
       "      <th>tb_quote_av</th>\n",
       "      <th>ignore</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>timestamp</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-10 00:00:00</th>\n",
       "      <td>137.73</td>\n",
       "      <td>137.98</td>\n",
       "      <td>137.60</td>\n",
       "      <td>137.64</td>\n",
       "      <td>5085.18940</td>\n",
       "      <td>1578616199999</td>\n",
       "      <td>7.008233e+05</td>\n",
       "      <td>2328</td>\n",
       "      <td>3417.37747</td>\n",
       "      <td>4.709823e+05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-10 00:30:00</th>\n",
       "      <td>137.63</td>\n",
       "      <td>137.68</td>\n",
       "      <td>137.05</td>\n",
       "      <td>137.16</td>\n",
       "      <td>4624.33459</td>\n",
       "      <td>1578617999999</td>\n",
       "      <td>6.348057e+05</td>\n",
       "      <td>2072</td>\n",
       "      <td>2552.69910</td>\n",
       "      <td>3.504246e+05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-10 01:00:00</th>\n",
       "      <td>137.17</td>\n",
       "      <td>137.42</td>\n",
       "      <td>136.84</td>\n",
       "      <td>136.91</td>\n",
       "      <td>2869.37376</td>\n",
       "      <td>1578619799999</td>\n",
       "      <td>3.934895e+05</td>\n",
       "      <td>1947</td>\n",
       "      <td>1634.72623</td>\n",
       "      <td>2.241945e+05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-10 01:30:00</th>\n",
       "      <td>136.92</td>\n",
       "      <td>137.07</td>\n",
       "      <td>136.72</td>\n",
       "      <td>136.90</td>\n",
       "      <td>2781.83043</td>\n",
       "      <td>1578621599999</td>\n",
       "      <td>3.807914e+05</td>\n",
       "      <td>1855</td>\n",
       "      <td>1698.23983</td>\n",
       "      <td>2.324746e+05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-10 02:00:00</th>\n",
       "      <td>136.91</td>\n",
       "      <td>137.18</td>\n",
       "      <td>136.67</td>\n",
       "      <td>137.15</td>\n",
       "      <td>4184.35055</td>\n",
       "      <td>1578623399999</td>\n",
       "      <td>5.731207e+05</td>\n",
       "      <td>1902</td>\n",
       "      <td>2771.27269</td>\n",
       "      <td>3.795864e+05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-14 22:00:00</th>\n",
       "      <td>4054.46</td>\n",
       "      <td>4074.00</td>\n",
       "      <td>4026.31</td>\n",
       "      <td>4072.16</td>\n",
       "      <td>14604.54301</td>\n",
       "      <td>1621031399999</td>\n",
       "      <td>5.906900e+07</td>\n",
       "      <td>36362</td>\n",
       "      <td>6917.29800</td>\n",
       "      <td>2.798067e+07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-14 22:30:00</th>\n",
       "      <td>4071.32</td>\n",
       "      <td>4109.21</td>\n",
       "      <td>4065.80</td>\n",
       "      <td>4073.01</td>\n",
       "      <td>18429.48971</td>\n",
       "      <td>1621033199999</td>\n",
       "      <td>7.533654e+07</td>\n",
       "      <td>45452</td>\n",
       "      <td>9435.72226</td>\n",
       "      <td>3.857310e+07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-14 23:00:00</th>\n",
       "      <td>4073.01</td>\n",
       "      <td>4110.12</td>\n",
       "      <td>4061.67</td>\n",
       "      <td>4077.09</td>\n",
       "      <td>12134.21618</td>\n",
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       "      <td>23196</td>\n",
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       "      <td>2.462237e+07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-14 23:30:00</th>\n",
       "      <td>4077.09</td>\n",
       "      <td>4097.35</td>\n",
       "      <td>4068.69</td>\n",
       "      <td>4075.01</td>\n",
       "      <td>9990.69885</td>\n",
       "      <td>1621036799999</td>\n",
       "      <td>4.079541e+07</td>\n",
       "      <td>17167</td>\n",
       "      <td>4445.42435</td>\n",
       "      <td>1.815188e+07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-05-15 00:00:00</th>\n",
       "      <td>4075.02</td>\n",
       "      <td>4134.05</td>\n",
       "      <td>4029.21</td>\n",
       "      <td>4059.96</td>\n",
       "      <td>28766.83167</td>\n",
       "      <td>1621038599999</td>\n",
       "      <td>1.176036e+08</td>\n",
       "      <td>58099</td>\n",
       "      <td>13245.30063</td>\n",
       "      <td>5.413065e+07</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23511 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        open     high      low    close       volume  \\\n",
       "timestamp                                                              \n",
       "2020-01-10 00:00:00   137.73   137.98   137.60   137.64   5085.18940   \n",
       "2020-01-10 00:30:00   137.63   137.68   137.05   137.16   4624.33459   \n",
       "2020-01-10 01:00:00   137.17   137.42   136.84   136.91   2869.37376   \n",
       "2020-01-10 01:30:00   136.92   137.07   136.72   136.90   2781.83043   \n",
       "2020-01-10 02:00:00   136.91   137.18   136.67   137.15   4184.35055   \n",
       "...                      ...      ...      ...      ...          ...   \n",
       "2021-05-14 22:00:00  4054.46  4074.00  4026.31  4072.16  14604.54301   \n",
       "2021-05-14 22:30:00  4071.32  4109.21  4065.80  4073.01  18429.48971   \n",
       "2021-05-14 23:00:00  4073.01  4110.12  4061.67  4077.09  12134.21618   \n",
       "2021-05-14 23:30:00  4077.09  4097.35  4068.69  4075.01   9990.69885   \n",
       "2021-05-15 00:00:00  4075.02  4134.05  4029.21  4059.96  28766.83167   \n",
       "\n",
       "                        close_time      quote_av  trades   tb_base_av  \\\n",
       "timestamp                                                               \n",
       "2020-01-10 00:00:00  1578616199999  7.008233e+05    2328   3417.37747   \n",
       "2020-01-10 00:30:00  1578617999999  6.348057e+05    2072   2552.69910   \n",
       "2020-01-10 01:00:00  1578619799999  3.934895e+05    1947   1634.72623   \n",
       "2020-01-10 01:30:00  1578621599999  3.807914e+05    1855   1698.23983   \n",
       "2020-01-10 02:00:00  1578623399999  5.731207e+05    1902   2771.27269   \n",
       "...                            ...           ...     ...          ...   \n",
       "2021-05-14 22:00:00  1621031399999  5.906900e+07   36362   6917.29800   \n",
       "2021-05-14 22:30:00  1621033199999  7.533654e+07   45452   9435.72226   \n",
       "2021-05-14 23:00:00  1621034999999  4.960752e+07   23196   6021.61594   \n",
       "2021-05-14 23:30:00  1621036799999  4.079541e+07   17167   4445.42435   \n",
       "2021-05-15 00:00:00  1621038599999  1.176036e+08   58099  13245.30063   \n",
       "\n",
       "                      tb_quote_av  ignore  \n",
       "timestamp                                  \n",
       "2020-01-10 00:00:00  4.709823e+05       0  \n",
       "2020-01-10 00:30:00  3.504246e+05       0  \n",
       "2020-01-10 01:00:00  2.241945e+05       0  \n",
       "2020-01-10 01:30:00  2.324746e+05       0  \n",
       "2020-01-10 02:00:00  3.795864e+05       0  \n",
       "...                           ...     ...  \n",
       "2021-05-14 22:00:00  2.798067e+07       0  \n",
       "2021-05-14 22:30:00  3.857310e+07       0  \n",
       "2021-05-14 23:00:00  2.462237e+07       0  \n",
       "2021-05-14 23:30:00  1.815188e+07       0  \n",
       "2021-05-15 00:00:00  5.413065e+07       0  \n",
       "\n",
       "[23511 rows x 11 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ = pd.read_csv('C:ethusd30min.csv')\n",
    "df = df_.set_index('timestamp')\n",
    "df.index = pd.to_datetime(df.index)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x288e33a9888>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.close.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 240,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "timestamp\n",
       "2020-01-10 00:00:00    0.672026\n",
       "2020-01-10 00:30:00    0.552014\n",
       "2020-01-10 01:00:00    0.569715\n",
       "2020-01-10 01:30:00    0.610476\n",
       "2020-01-10 02:00:00    0.662295\n",
       "                         ...   \n",
       "2021-05-14 22:00:00    0.473640\n",
       "2021-05-14 22:30:00    0.511990\n",
       "2021-05-14 23:00:00    0.496251\n",
       "2021-05-14 23:30:00    0.444956\n",
       "2021-05-15 00:00:00    0.460437\n",
       "Length: 23511, dtype: float64"
      ]
     },
     "execution_count": 240,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "buyratio = df.tb_base_av/df.volume\n",
    "buyratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 242,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\JHCho\\anaconda3\\envs\\py37\\lib\\site-packages\\pandas\\core\\arraylike.py:358: RuntimeWarning: divide by zero encountered in log\n",
      "  result = getattr(ufunc, method)(*inputs, **kwargs)\n"
     ]
    }
   ],
   "source": [
    "buyratio = 100*df.tb_base_av/df.volume\n",
    "\n",
    "# features\n",
    "feature = pd.DataFrame()\n",
    "mom_windows = [1,5,10,20]\n",
    "for n in mom_windows:\n",
    "    feature['p_mom_{}'.format(n)] = df.close.pct_change(n)\n",
    "    feature['v_mom_{}'.format(n)] = np.log(df.volume).pct_change(n)\n",
    "    feature['br_mom_{}'.format(n)] = (100*buyratio).pct_change(n)\n",
    "    \n",
    "std_windows = [12,48]\n",
    "for n in std_windows:\n",
    "    feature['p_std_{}'.format(n)] = df.close.rolling(n).std()\n",
    "    feature['v_std_{}'.format(n)] = np.log(df.volume).rolling(n).std()\n",
    "    feature['br_std_{}'.format(n)] = buyratio.rolling(n).std()\n",
    "    \n",
    "sma_windows = [10,60]\n",
    "for n in sma_windows:\n",
    "    feature['br_sma_{}'.format(n)] = buyratio.rolling(n).mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 243,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 244,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col4,#T_6a7cb_row0_col7,#T_6a7cb_row0_col10,#T_6a7cb_row1_col11,#T_6a7cb_row2_col7,#T_6a7cb_row4_col11,#T_6a7cb_row6_col4,#T_6a7cb_row7_col2,#T_6a7cb_row7_col5,#T_6a7cb_row8_col10,#T_6a7cb_row9_col7,#T_6a7cb_row10_col0,#T_6a7cb_row10_col2,#T_6a7cb_row12_col5,#T_6a7cb_row12_col6,#T_6a7cb_row15_col5,#T_6a7cb_row19_col5{\n",
       "            background-color:  #4055c8;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row0_col5,#T_6a7cb_row8_col0,#T_6a7cb_row9_col14,#T_6a7cb_row10_col14{\n",
       "            background-color:  #8fb1fe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col6,#T_6a7cb_row4_col17,#T_6a7cb_row6_col0{\n",
       "            background-color:  #a6c4fe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col8,#T_6a7cb_row11_col18{\n",
       "            background-color:  #90b2fe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col9{\n",
       "            background-color:  #92b4fe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col11,#T_6a7cb_row11_col0,#T_6a7cb_row13_col12{\n",
       "            background-color:  #8badfd;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col12,#T_6a7cb_row6_col17,#T_6a7cb_row10_col15{\n",
       "            background-color:  #9bbcff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col13,#T_6a7cb_row3_col11,#T_6a7cb_row16_col15{\n",
       "            background-color:  #6e90f2;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col14,#T_6a7cb_row6_col14,#T_6a7cb_row10_col16,#T_6a7cb_row18_col11{\n",
       "            background-color:  #8db0fe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col15,#T_6a7cb_row5_col14,#T_6a7cb_row8_col14{\n",
       "            background-color:  #a1c0ff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col16,#T_6a7cb_row3_col8,#T_6a7cb_row8_col13,#T_6a7cb_row19_col6{\n",
       "            background-color:  #7295f4;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col17{\n",
       "            background-color:  #9ebeff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col18,#T_6a7cb_row14_col19,#T_6a7cb_row16_col10,#T_6a7cb_row18_col13{\n",
       "            background-color:  #6282ea;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row0_col19,#T_6a7cb_row11_col6{\n",
       "            background-color:  #6384eb;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col0,#T_6a7cb_row1_col2,#T_6a7cb_row2_col1,#T_6a7cb_row4_col3,#T_6a7cb_row5_col4,#T_6a7cb_row5_col18,#T_6a7cb_row7_col6,#T_6a7cb_row7_col8,#T_6a7cb_row8_col7,#T_6a7cb_row10_col11,#T_6a7cb_row11_col10,#T_6a7cb_row12_col16,#T_6a7cb_row13_col6,#T_6a7cb_row13_col9,#T_6a7cb_row15_col13,#T_6a7cb_row15_col14,#T_6a7cb_row15_col16,#T_6a7cb_row15_col17,#T_6a7cb_row16_col19,#T_6a7cb_row17_col12,#T_6a7cb_row17_col15,#T_6a7cb_row18_col5{\n",
       "            background-color:  #3b4cc0;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row1_col3,#T_6a7cb_row1_col6,#T_6a7cb_row2_col10,#T_6a7cb_row2_col18,#T_6a7cb_row3_col7,#T_6a7cb_row3_col10,#T_6a7cb_row4_col0,#T_6a7cb_row7_col0,#T_6a7cb_row7_col11,#T_6a7cb_row10_col18,#T_6a7cb_row11_col7,#T_6a7cb_row12_col2,#T_6a7cb_row12_col8,#T_6a7cb_row12_col17,#T_6a7cb_row13_col3,#T_6a7cb_row14_col3,#T_6a7cb_row14_col6,#T_6a7cb_row15_col2{\n",
       "            background-color:  #3f53c6;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row1_col4,#T_6a7cb_row19_col18{\n",
       "            background-color:  #ccd9ed;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col5,#T_6a7cb_row2_col6,#T_6a7cb_row3_col1,#T_6a7cb_row6_col1,#T_6a7cb_row8_col1,#T_6a7cb_row8_col4,#T_6a7cb_row9_col4,#T_6a7cb_row11_col1,#T_6a7cb_row19_col2{\n",
       "            background-color:  #4358cb;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row1_col7,#T_6a7cb_row7_col1,#T_6a7cb_row19_col15{\n",
       "            background-color:  #bad0f8;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col8,#T_6a7cb_row2_col4,#T_6a7cb_row4_col2,#T_6a7cb_row4_col8,#T_6a7cb_row5_col1,#T_6a7cb_row10_col5,#T_6a7cb_row10_col8,#T_6a7cb_row11_col4,#T_6a7cb_row12_col3,#T_6a7cb_row14_col0,#T_6a7cb_row15_col1,#T_6a7cb_row17_col0{\n",
       "            background-color:  #4257c9;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row1_col9,#T_6a7cb_row13_col5,#T_6a7cb_row14_col9,#T_6a7cb_row16_col9{\n",
       "            background-color:  #4a63d3;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row1_col10,#T_6a7cb_row7_col12{\n",
       "            background-color:  #adc9fd;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col12,#T_6a7cb_row9_col12,#T_6a7cb_row11_col12{\n",
       "            background-color:  #94b6ff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col13,#T_6a7cb_row3_col13,#T_6a7cb_row11_col3{\n",
       "            background-color:  #6b8df0;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col14,#T_6a7cb_row2_col0,#T_6a7cb_row3_col18,#T_6a7cb_row19_col14{\n",
       "            background-color:  #97b8ff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col15,#T_6a7cb_row3_col17,#T_6a7cb_row7_col14{\n",
       "            background-color:  #9dbdff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col16,#T_6a7cb_row2_col13,#T_6a7cb_row5_col3,#T_6a7cb_row8_col3,#T_6a7cb_row9_col16,#T_6a7cb_row11_col13{\n",
       "            background-color:  #6f92f3;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col17,#T_6a7cb_row7_col13{\n",
       "            background-color:  #a2c1ff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row1_col18,#T_6a7cb_row3_col2,#T_6a7cb_row7_col9,#T_6a7cb_row13_col2,#T_6a7cb_row17_col18,#T_6a7cb_row19_col4,#T_6a7cb_row19_col7{\n",
       "            background-color:  #485fd1;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row1_col19,#T_6a7cb_row14_col2,#T_6a7cb_row14_col8{\n",
       "            background-color:  #5977e3;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col3,#T_6a7cb_row9_col8,#T_6a7cb_row12_col9,#T_6a7cb_row13_col11,#T_6a7cb_row15_col0,#T_6a7cb_row16_col0,#T_6a7cb_row16_col3,#T_6a7cb_row16_col6,#T_6a7cb_row17_col9,#T_6a7cb_row19_col10{\n",
       "            background-color:  #455cce;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row2_col5{\n",
       "            background-color:  #d8dce2;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col8{\n",
       "            background-color:  #d3dbe7;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col9,#T_6a7cb_row8_col9,#T_6a7cb_row14_col15,#T_6a7cb_row16_col5,#T_6a7cb_row16_col11,#T_6a7cb_row17_col4{\n",
       "            background-color:  #4c66d6;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col11{\n",
       "            background-color:  #d1dae9;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col12,#T_6a7cb_row5_col12,#T_6a7cb_row8_col12{\n",
       "            background-color:  #96b7ff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col14,#T_6a7cb_row4_col14,#T_6a7cb_row18_col17{\n",
       "            background-color:  #9fbfff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col15,#T_6a7cb_row3_col12,#T_6a7cb_row4_col12,#T_6a7cb_row4_col15,#T_6a7cb_row5_col15,#T_6a7cb_row6_col12,#T_6a7cb_row8_col15,#T_6a7cb_row9_col17,#T_6a7cb_row11_col14,#T_6a7cb_row11_col15{\n",
       "            background-color:  #9abbff;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col16,#T_6a7cb_row3_col16,#T_6a7cb_row6_col16{\n",
       "            background-color:  #7396f5;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col17,#T_6a7cb_row5_col17,#T_6a7cb_row8_col17,#T_6a7cb_row11_col17,#T_6a7cb_row18_col15{\n",
       "            background-color:  #abc8fd;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row2_col19,#T_6a7cb_row15_col18,#T_6a7cb_row17_col5{\n",
       "            background-color:  #5673e0;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row3_col0{\n",
       "            background-color:  #cedaeb;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row3_col4,#T_6a7cb_row6_col7,#T_6a7cb_row9_col10,#T_6a7cb_row10_col6,#T_6a7cb_row12_col11,#T_6a7cb_row15_col7,#T_6a7cb_row15_col11,#T_6a7cb_row17_col6,#T_6a7cb_row18_col10,#T_6a7cb_row19_col8{\n",
       "            background-color:  #3d50c3;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row3_col5,#T_6a7cb_row4_col16,#T_6a7cb_row12_col19{\n",
       "            background-color:  #7597f6;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row3_col6,#T_6a7cb_row6_col3,#T_6a7cb_row6_col9{\n",
       "            background-color:  #f7ac8e;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row3_col9{\n",
       "            background-color:  #e0dbd8;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row3_col14,#T_6a7cb_row5_col0{\n",
       "            background-color:  #8caffe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row3_col15,#T_6a7cb_row9_col19,#T_6a7cb_row18_col12,#T_6a7cb_row19_col17{\n",
       "            background-color:  #a3c2fe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row3_col19,#T_6a7cb_row5_col16,#T_6a7cb_row8_col16{\n",
       "            background-color:  #7699f6;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row4_col6,#T_6a7cb_row5_col7,#T_6a7cb_row5_col10,#T_6a7cb_row6_col10,#T_6a7cb_row10_col3,#T_6a7cb_row12_col1,#T_6a7cb_row12_col14,#T_6a7cb_row15_col4,#T_6a7cb_row15_col8,#T_6a7cb_row15_col10,#T_6a7cb_row16_col18,#T_6a7cb_row17_col3,#T_6a7cb_row18_col2{\n",
       "            background-color:  #3e51c5;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row4_col7,#T_6a7cb_row7_col4{\n",
       "            background-color:  #edd1c2;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row4_col9,#T_6a7cb_row6_col5,#T_6a7cb_row7_col18,#T_6a7cb_row13_col8,#T_6a7cb_row15_col6,#T_6a7cb_row16_col2,#T_6a7cb_row16_col4,#T_6a7cb_row17_col1,#T_6a7cb_row18_col4{\n",
       "            background-color:  #4961d2;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row4_col10{\n",
       "            background-color:  #d9dce1;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row4_col13{\n",
       "            background-color:  #82a6fb;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row4_col18,#T_6a7cb_row5_col9,#T_6a7cb_row14_col12,#T_6a7cb_row16_col8{\n",
       "            background-color:  #4b64d5;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row4_col19,#T_6a7cb_row7_col19,#T_6a7cb_row9_col13,#T_6a7cb_row12_col7,#T_6a7cb_row12_col13,#T_6a7cb_row13_col4{\n",
       "            background-color:  #5b7ae5;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row5_col2,#T_6a7cb_row8_col11,#T_6a7cb_row11_col5,#T_6a7cb_row11_col8{\n",
       "            background-color:  #d7dce3;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row5_col6,#T_6a7cb_row9_col1,#T_6a7cb_row10_col9,#T_6a7cb_row12_col0,#T_6a7cb_row12_col4,#T_6a7cb_row13_col0,#T_6a7cb_row13_col1,#T_6a7cb_row14_col10,#T_6a7cb_row16_col1{\n",
       "            background-color:  #445acc;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row5_col8{\n",
       "            background-color:  #dbdcde;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row5_col11{\n",
       "            background-color:  #d5dbe5;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row5_col13,#T_6a7cb_row13_col15{\n",
       "            background-color:  #7093f3;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row5_col19,#T_6a7cb_row16_col7,#T_6a7cb_row17_col11{\n",
       "            background-color:  #536edd;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row6_col2,#T_6a7cb_row9_col2,#T_6a7cb_row9_col5,#T_6a7cb_row15_col3,#T_6a7cb_row18_col1,#T_6a7cb_row18_col7,#T_6a7cb_row19_col1{\n",
       "            background-color:  #465ecf;\n",
       "            color:  #f1f1f1;\n",
       "        }#T_6a7cb_row6_col8,#T_6a7cb_row16_col12,#T_6a7cb_row18_col16{\n",
       "            background-color:  #688aef;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row6_col11,#T_6a7cb_row6_col13,#T_6a7cb_row11_col9{\n",
       "            background-color:  #6485ec;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row6_col15{\n",
       "            background-color:  #a5c3fe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row6_col18{\n",
       "            background-color:  #c4d5f3;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row6_col19{\n",
       "            background-color:  #86a9fc;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row7_col10,#T_6a7cb_row10_col7{\n",
       "            background-color:  #e7d7ce;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row7_col16,#T_6a7cb_row13_col7{\n",
       "            background-color:  #7ea1fa;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row7_col17,#T_6a7cb_row9_col15{\n",
       "            background-color:  #a7c5fe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row8_col2{\n",
       "            background-color:  #d4dbe6;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row8_col5,#T_6a7cb_row9_col3{\n",
       "            background-color:  #dcdddd;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row8_col6{\n",
       "            background-color:  #6687ed;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row8_col18{\n",
       "            background-color:  #80a3fa;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row8_col19,#T_6a7cb_row14_col18,#T_6a7cb_row19_col16{\n",
       "            background-color:  #516ddb;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row9_col0{\n",
       "            background-color:  #89acfd;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row9_col6{\n",
       "            background-color:  #f7b093;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row9_col11,#T_6a7cb_row12_col10{\n",
       "            background-color:  #5d7ce6;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row9_col18,#T_6a7cb_row10_col1,#T_6a7cb_row10_col12{\n",
       "            background-color:  #aec9fc;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row10_col4,#T_6a7cb_row13_col17{\n",
       "            background-color:  #dadce0;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row10_col13{\n",
       "            background-color:  #b5cdfa;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row10_col17,#T_6a7cb_row14_col13{\n",
       "            background-color:  #a9c6fd;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row10_col19,#T_6a7cb_row14_col5{\n",
       "            background-color:  #5a78e4;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row11_col2{\n",
       "            background-color:  #d2dbe8;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row11_col16{\n",
       "            background-color:  #799cf8;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row11_col19,#T_6a7cb_row12_col18{\n",
       "            background-color:  #506bda;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row12_col15{\n",
       "            background-color:  #d95847;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row13_col10,#T_6a7cb_row18_col3{\n",
       "            background-color:  #93b5fe;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row13_col14{\n",
       "            background-color:  #c3d5f4;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row13_col16{\n",
       "            background-color:  #f1ccb8;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row13_col19,#T_6a7cb_row14_col7,#T_6a7cb_row15_col9,#T_6a7cb_row17_col8{\n",
       "            background-color:  #5572df;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row14_col1,#T_6a7cb_row14_col11,#T_6a7cb_row17_col10{\n",
       "            background-color:  #4f69d9;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row14_col4{\n",
       "            background-color:  #5875e1;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row14_col16{\n",
       "            background-color:  #aac7fd;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row14_col17{\n",
       "            background-color:  #e7745b;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row15_col12{\n",
       "            background-color:  #da5a49;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row15_col19{\n",
       "            background-color:  #7b9ff9;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row16_col13{\n",
       "            background-color:  #f0cdbb;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row16_col14{\n",
       "            background-color:  #c1d4f4;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row16_col17{\n",
       "            background-color:  #e2dad5;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row17_col2{\n",
       "            background-color:  #5470de;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row17_col7,#T_6a7cb_row19_col0{\n",
       "            background-color:  #4e68d8;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row17_col13{\n",
       "            background-color:  #bbd1f8;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row17_col14{\n",
       "            background-color:  #e9785d;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row17_col16{\n",
       "            background-color:  #cad8ef;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row17_col19,#T_6a7cb_row18_col0{\n",
       "            background-color:  #5e7de7;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row18_col6{\n",
       "            background-color:  #c0d4f5;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row18_col8{\n",
       "            background-color:  #7da0f9;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row18_col9{\n",
       "            background-color:  #b2ccfb;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row18_col19{\n",
       "            background-color:  #d6dce4;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row19_col3{\n",
       "            background-color:  #5f7fe8;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row19_col12{\n",
       "            background-color:  #b1cbfc;\n",
       "            color:  #000000;\n",
       "        }#T_6a7cb_row19_col13{\n",
       "            background-color:  #6a8bef;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_6a7cb_\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >p_mom_1</th>        <th class=\"col_heading level0 col1\" >v_mom_1</th>        <th class=\"col_heading level0 col2\" >bv_mom_1</th>        <th class=\"col_heading level0 col3\" >p_mom_5</th>        <th class=\"col_heading level0 col4\" >v_mom_5</th>        <th class=\"col_heading level0 col5\" >bv_mom_5</th>        <th class=\"col_heading level0 col6\" >p_mom_10</th>        <th class=\"col_heading level0 col7\" >v_mom_10</th>        <th class=\"col_heading level0 col8\" >bv_mom_10</th>        <th class=\"col_heading level0 col9\" >p_mom_20</th>        <th class=\"col_heading level0 col10\" >v_mom_20</th>        <th class=\"col_heading level0 col11\" >bv_mom_20</th>        <th class=\"col_heading level0 col12\" >p_std_12</th>        <th class=\"col_heading level0 col13\" >v_std_12</th>        <th class=\"col_heading level0 col14\" >bv_std_12</th>        <th class=\"col_heading level0 col15\" >p_std_48</th>        <th class=\"col_heading level0 col16\" >v_std_48</th>        <th class=\"col_heading level0 col17\" >bv_std_48</th>        <th class=\"col_heading level0 col18\" >bv_sma_10</th>        <th class=\"col_heading level0 col19\" >bv_sma_60</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row0\" class=\"row_heading level0 row0\" >p_mom_1</th>\n",
       "                        <td id=\"T_6a7cb_row0_col0\" class=\"data row0 col0\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row0_col1\" class=\"data row0 col1\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row0_col2\" class=\"data row0 col2\" >0.26</td>\n",
       "                        <td id=\"T_6a7cb_row0_col3\" class=\"data row0 col3\" >0.43</td>\n",
       "                        <td id=\"T_6a7cb_row0_col4\" class=\"data row0 col4\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row0_col5\" class=\"data row0 col5\" >0.22</td>\n",
       "                        <td id=\"T_6a7cb_row0_col6\" class=\"data row0 col6\" >0.30</td>\n",
       "                        <td id=\"T_6a7cb_row0_col7\" class=\"data row0 col7\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row0_col8\" class=\"data row0 col8\" >0.23</td>\n",
       "                        <td id=\"T_6a7cb_row0_col9\" class=\"data row0 col9\" >0.22</td>\n",
       "                        <td id=\"T_6a7cb_row0_col10\" class=\"data row0 col10\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row0_col11\" class=\"data row0 col11\" >0.22</td>\n",
       "                        <td id=\"T_6a7cb_row0_col12\" class=\"data row0 col12\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row0_col13\" class=\"data row0 col13\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row0_col14\" class=\"data row0 col14\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row0_col15\" class=\"data row0 col15\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row0_col16\" class=\"data row0 col16\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row0_col17\" class=\"data row0 col17\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row0_col18\" class=\"data row0 col18\" >0.09</td>\n",
       "                        <td id=\"T_6a7cb_row0_col19\" class=\"data row0 col19\" >0.04</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row1\" class=\"row_heading level0 row1\" >v_mom_1</th>\n",
       "                        <td id=\"T_6a7cb_row1_col0\" class=\"data row1 col0\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row1_col1\" class=\"data row1 col1\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row1_col2\" class=\"data row1 col2\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row1_col3\" class=\"data row1 col3\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col4\" class=\"data row1 col4\" >0.42</td>\n",
       "                        <td id=\"T_6a7cb_row1_col5\" class=\"data row1 col5\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col6\" class=\"data row1 col6\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col7\" class=\"data row1 col7\" >0.36</td>\n",
       "                        <td id=\"T_6a7cb_row1_col8\" class=\"data row1 col8\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col9\" class=\"data row1 col9\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col10\" class=\"data row1 col10\" >0.32</td>\n",
       "                        <td id=\"T_6a7cb_row1_col11\" class=\"data row1 col11\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col12\" class=\"data row1 col12\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row1_col13\" class=\"data row1 col13\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col14\" class=\"data row1 col14\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row1_col15\" class=\"data row1 col15\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col16\" class=\"data row1 col16\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col17\" class=\"data row1 col17\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row1_col18\" class=\"data row1 col18\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row1_col19\" class=\"data row1 col19\" >0.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row2\" class=\"row_heading level0 row2\" >bv_mom_1</th>\n",
       "                        <td id=\"T_6a7cb_row2_col0\" class=\"data row2 col0\" >0.26</td>\n",
       "                        <td id=\"T_6a7cb_row2_col1\" class=\"data row2 col1\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row2_col2\" class=\"data row2 col2\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row2_col3\" class=\"data row2 col3\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row2_col4\" class=\"data row2 col4\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row2_col5\" class=\"data row2 col5\" >0.46</td>\n",
       "                        <td id=\"T_6a7cb_row2_col6\" class=\"data row2 col6\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row2_col7\" class=\"data row2 col7\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row2_col8\" class=\"data row2 col8\" >0.44</td>\n",
       "                        <td id=\"T_6a7cb_row2_col9\" class=\"data row2 col9\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row2_col10\" class=\"data row2 col10\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row2_col11\" class=\"data row2 col11\" >0.44</td>\n",
       "                        <td id=\"T_6a7cb_row2_col12\" class=\"data row2 col12\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row2_col13\" class=\"data row2 col13\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row2_col14\" class=\"data row2 col14\" >0.06</td>\n",
       "                        <td id=\"T_6a7cb_row2_col15\" class=\"data row2 col15\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row2_col16\" class=\"data row2 col16\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row2_col17\" class=\"data row2 col17\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row2_col18\" class=\"data row2 col18\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row2_col19\" class=\"data row2 col19\" >-0.01</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row3\" class=\"row_heading level0 row3\" >p_mom_5</th>\n",
       "                        <td id=\"T_6a7cb_row3_col0\" class=\"data row3 col0\" >0.43</td>\n",
       "                        <td id=\"T_6a7cb_row3_col1\" class=\"data row3 col1\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row3_col2\" class=\"data row3 col2\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row3_col3\" class=\"data row3 col3\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row3_col4\" class=\"data row3 col4\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row3_col5\" class=\"data row3 col5\" >0.14</td>\n",
       "                        <td id=\"T_6a7cb_row3_col6\" class=\"data row3 col6\" >0.69</td>\n",
       "                        <td id=\"T_6a7cb_row3_col7\" class=\"data row3 col7\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row3_col8\" class=\"data row3 col8\" >0.14</td>\n",
       "                        <td id=\"T_6a7cb_row3_col9\" class=\"data row3 col9\" >0.48</td>\n",
       "                        <td id=\"T_6a7cb_row3_col10\" class=\"data row3 col10\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row3_col11\" class=\"data row3 col11\" >0.13</td>\n",
       "                        <td id=\"T_6a7cb_row3_col12\" class=\"data row3 col12\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row3_col13\" class=\"data row3 col13\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row3_col14\" class=\"data row3 col14\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row3_col15\" class=\"data row3 col15\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row3_col16\" class=\"data row3 col16\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row3_col17\" class=\"data row3 col17\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row3_col18\" class=\"data row3 col18\" >0.25</td>\n",
       "                        <td id=\"T_6a7cb_row3_col19\" class=\"data row3 col19\" >0.10</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row4\" class=\"row_heading level0 row4\" >v_mom_5</th>\n",
       "                        <td id=\"T_6a7cb_row4_col0\" class=\"data row4 col0\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row4_col1\" class=\"data row4 col1\" >0.42</td>\n",
       "                        <td id=\"T_6a7cb_row4_col2\" class=\"data row4 col2\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row4_col3\" class=\"data row4 col3\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row4_col4\" class=\"data row4 col4\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row4_col5\" class=\"data row4 col5\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row4_col6\" class=\"data row4 col6\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row4_col7\" class=\"data row4 col7\" >0.56</td>\n",
       "                        <td id=\"T_6a7cb_row4_col8\" class=\"data row4 col8\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row4_col9\" class=\"data row4 col9\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row4_col10\" class=\"data row4 col10\" >0.47</td>\n",
       "                        <td id=\"T_6a7cb_row4_col11\" class=\"data row4 col11\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row4_col12\" class=\"data row4 col12\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row4_col13\" class=\"data row4 col13\" >0.07</td>\n",
       "                        <td id=\"T_6a7cb_row4_col14\" class=\"data row4 col14\" >0.06</td>\n",
       "                        <td id=\"T_6a7cb_row4_col15\" class=\"data row4 col15\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row4_col16\" class=\"data row4 col16\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row4_col17\" class=\"data row4 col17\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row4_col18\" class=\"data row4 col18\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row4_col19\" class=\"data row4 col19\" >0.01</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row5\" class=\"row_heading level0 row5\" >bv_mom_5</th>\n",
       "                        <td id=\"T_6a7cb_row5_col0\" class=\"data row5 col0\" >0.22</td>\n",
       "                        <td id=\"T_6a7cb_row5_col1\" class=\"data row5 col1\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row5_col2\" class=\"data row5 col2\" >0.46</td>\n",
       "                        <td id=\"T_6a7cb_row5_col3\" class=\"data row5 col3\" >0.14</td>\n",
       "                        <td id=\"T_6a7cb_row5_col4\" class=\"data row5 col4\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row5_col5\" class=\"data row5 col5\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row5_col6\" class=\"data row5 col6\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row5_col7\" class=\"data row5 col7\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row5_col8\" class=\"data row5 col8\" >0.48</td>\n",
       "                        <td id=\"T_6a7cb_row5_col9\" class=\"data row5 col9\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row5_col10\" class=\"data row5 col10\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row5_col11\" class=\"data row5 col11\" >0.45</td>\n",
       "                        <td id=\"T_6a7cb_row5_col12\" class=\"data row5 col12\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row5_col13\" class=\"data row5 col13\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row5_col14\" class=\"data row5 col14\" >0.06</td>\n",
       "                        <td id=\"T_6a7cb_row5_col15\" class=\"data row5 col15\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row5_col16\" class=\"data row5 col16\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row5_col17\" class=\"data row5 col17\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row5_col18\" class=\"data row5 col18\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row5_col19\" class=\"data row5 col19\" >-0.02</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row6\" class=\"row_heading level0 row6\" >p_mom_10</th>\n",
       "                        <td id=\"T_6a7cb_row6_col0\" class=\"data row6 col0\" >0.30</td>\n",
       "                        <td id=\"T_6a7cb_row6_col1\" class=\"data row6 col1\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row6_col2\" class=\"data row6 col2\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row6_col3\" class=\"data row6 col3\" >0.69</td>\n",
       "                        <td id=\"T_6a7cb_row6_col4\" class=\"data row6 col4\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row6_col5\" class=\"data row6 col5\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row6_col6\" class=\"data row6 col6\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row6_col7\" class=\"data row6 col7\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row6_col8\" class=\"data row6 col8\" >0.11</td>\n",
       "                        <td id=\"T_6a7cb_row6_col9\" class=\"data row6 col9\" >0.68</td>\n",
       "                        <td id=\"T_6a7cb_row6_col10\" class=\"data row6 col10\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row6_col11\" class=\"data row6 col11\" >0.10</td>\n",
       "                        <td id=\"T_6a7cb_row6_col12\" class=\"data row6 col12\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row6_col13\" class=\"data row6 col13\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row6_col14\" class=\"data row6 col14\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row6_col15\" class=\"data row6 col15\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row6_col16\" class=\"data row6 col16\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row6_col17\" class=\"data row6 col17\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row6_col18\" class=\"data row6 col18\" >0.38</td>\n",
       "                        <td id=\"T_6a7cb_row6_col19\" class=\"data row6 col19\" >0.15</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row7\" class=\"row_heading level0 row7\" >v_mom_10</th>\n",
       "                        <td id=\"T_6a7cb_row7_col0\" class=\"data row7 col0\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row7_col1\" class=\"data row7 col1\" >0.36</td>\n",
       "                        <td id=\"T_6a7cb_row7_col2\" class=\"data row7 col2\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row7_col3\" class=\"data row7 col3\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row7_col4\" class=\"data row7 col4\" >0.56</td>\n",
       "                        <td id=\"T_6a7cb_row7_col5\" class=\"data row7 col5\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row7_col6\" class=\"data row7 col6\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row7_col7\" class=\"data row7 col7\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row7_col8\" class=\"data row7 col8\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row7_col9\" class=\"data row7 col9\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row7_col10\" class=\"data row7 col10\" >0.53</td>\n",
       "                        <td id=\"T_6a7cb_row7_col11\" class=\"data row7 col11\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row7_col12\" class=\"data row7 col12\" >0.07</td>\n",
       "                        <td id=\"T_6a7cb_row7_col13\" class=\"data row7 col13\" >0.18</td>\n",
       "                        <td id=\"T_6a7cb_row7_col14\" class=\"data row7 col14\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row7_col15\" class=\"data row7 col15\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row7_col16\" class=\"data row7 col16\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row7_col17\" class=\"data row7 col17\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row7_col18\" class=\"data row7 col18\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row7_col19\" class=\"data row7 col19\" >0.01</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row8\" class=\"row_heading level0 row8\" >bv_mom_10</th>\n",
       "                        <td id=\"T_6a7cb_row8_col0\" class=\"data row8 col0\" >0.23</td>\n",
       "                        <td id=\"T_6a7cb_row8_col1\" class=\"data row8 col1\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row8_col2\" class=\"data row8 col2\" >0.44</td>\n",
       "                        <td id=\"T_6a7cb_row8_col3\" class=\"data row8 col3\" >0.14</td>\n",
       "                        <td id=\"T_6a7cb_row8_col4\" class=\"data row8 col4\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row8_col5\" class=\"data row8 col5\" >0.48</td>\n",
       "                        <td id=\"T_6a7cb_row8_col6\" class=\"data row8 col6\" >0.11</td>\n",
       "                        <td id=\"T_6a7cb_row8_col7\" class=\"data row8 col7\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row8_col8\" class=\"data row8 col8\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row8_col9\" class=\"data row8 col9\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row8_col10\" class=\"data row8 col10\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row8_col11\" class=\"data row8 col11\" >0.46</td>\n",
       "                        <td id=\"T_6a7cb_row8_col12\" class=\"data row8 col12\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row8_col13\" class=\"data row8 col13\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row8_col14\" class=\"data row8 col14\" >0.07</td>\n",
       "                        <td id=\"T_6a7cb_row8_col15\" class=\"data row8 col15\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row8_col16\" class=\"data row8 col16\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row8_col17\" class=\"data row8 col17\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row8_col18\" class=\"data row8 col18\" >0.18</td>\n",
       "                        <td id=\"T_6a7cb_row8_col19\" class=\"data row8 col19\" >-0.02</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row9\" class=\"row_heading level0 row9\" >p_mom_20</th>\n",
       "                        <td id=\"T_6a7cb_row9_col0\" class=\"data row9 col0\" >0.22</td>\n",
       "                        <td id=\"T_6a7cb_row9_col1\" class=\"data row9 col1\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row9_col2\" class=\"data row9 col2\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row9_col3\" class=\"data row9 col3\" >0.48</td>\n",
       "                        <td id=\"T_6a7cb_row9_col4\" class=\"data row9 col4\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row9_col5\" class=\"data row9 col5\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row9_col6\" class=\"data row9 col6\" >0.68</td>\n",
       "                        <td id=\"T_6a7cb_row9_col7\" class=\"data row9 col7\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row9_col8\" class=\"data row9 col8\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row9_col9\" class=\"data row9 col9\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row9_col10\" class=\"data row9 col10\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row9_col11\" class=\"data row9 col11\" >0.08</td>\n",
       "                        <td id=\"T_6a7cb_row9_col12\" class=\"data row9 col12\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row9_col13\" class=\"data row9 col13\" >-0.06</td>\n",
       "                        <td id=\"T_6a7cb_row9_col14\" class=\"data row9 col14\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row9_col15\" class=\"data row9 col15\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row9_col16\" class=\"data row9 col16\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row9_col17\" class=\"data row9 col17\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row9_col18\" class=\"data row9 col18\" >0.32</td>\n",
       "                        <td id=\"T_6a7cb_row9_col19\" class=\"data row9 col19\" >0.24</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row10\" class=\"row_heading level0 row10\" >v_mom_20</th>\n",
       "                        <td id=\"T_6a7cb_row10_col0\" class=\"data row10 col0\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row10_col1\" class=\"data row10 col1\" >0.32</td>\n",
       "                        <td id=\"T_6a7cb_row10_col2\" class=\"data row10 col2\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row10_col3\" class=\"data row10 col3\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row10_col4\" class=\"data row10 col4\" >0.47</td>\n",
       "                        <td id=\"T_6a7cb_row10_col5\" class=\"data row10 col5\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row10_col6\" class=\"data row10 col6\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row10_col7\" class=\"data row10 col7\" >0.53</td>\n",
       "                        <td id=\"T_6a7cb_row10_col8\" class=\"data row10 col8\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row10_col9\" class=\"data row10 col9\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row10_col10\" class=\"data row10 col10\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row10_col11\" class=\"data row10 col11\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row10_col12\" class=\"data row10 col12\" >0.08</td>\n",
       "                        <td id=\"T_6a7cb_row10_col13\" class=\"data row10 col13\" >0.24</td>\n",
       "                        <td id=\"T_6a7cb_row10_col14\" class=\"data row10 col14\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row10_col15\" class=\"data row10 col15\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row10_col16\" class=\"data row10 col16\" >0.10</td>\n",
       "                        <td id=\"T_6a7cb_row10_col17\" class=\"data row10 col17\" >0.04</td>\n",
       "                        <td id=\"T_6a7cb_row10_col18\" class=\"data row10 col18\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row10_col19\" class=\"data row10 col19\" >0.00</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row11\" class=\"row_heading level0 row11\" >bv_mom_20</th>\n",
       "                        <td id=\"T_6a7cb_row11_col0\" class=\"data row11 col0\" >0.22</td>\n",
       "                        <td id=\"T_6a7cb_row11_col1\" class=\"data row11 col1\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row11_col2\" class=\"data row11 col2\" >0.44</td>\n",
       "                        <td id=\"T_6a7cb_row11_col3\" class=\"data row11 col3\" >0.13</td>\n",
       "                        <td id=\"T_6a7cb_row11_col4\" class=\"data row11 col4\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row11_col5\" class=\"data row11 col5\" >0.45</td>\n",
       "                        <td id=\"T_6a7cb_row11_col6\" class=\"data row11 col6\" >0.10</td>\n",
       "                        <td id=\"T_6a7cb_row11_col7\" class=\"data row11 col7\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row11_col8\" class=\"data row11 col8\" >0.46</td>\n",
       "                        <td id=\"T_6a7cb_row11_col9\" class=\"data row11 col9\" >0.08</td>\n",
       "                        <td id=\"T_6a7cb_row11_col10\" class=\"data row11 col10\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row11_col11\" class=\"data row11 col11\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row11_col12\" class=\"data row11 col12\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row11_col13\" class=\"data row11 col13\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row11_col14\" class=\"data row11 col14\" >0.04</td>\n",
       "                        <td id=\"T_6a7cb_row11_col15\" class=\"data row11 col15\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row11_col16\" class=\"data row11 col16\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row11_col17\" class=\"data row11 col17\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row11_col18\" class=\"data row11 col18\" >0.23</td>\n",
       "                        <td id=\"T_6a7cb_row11_col19\" class=\"data row11 col19\" >-0.03</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row12\" class=\"row_heading level0 row12\" >p_std_12</th>\n",
       "                        <td id=\"T_6a7cb_row12_col0\" class=\"data row12 col0\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row12_col1\" class=\"data row12 col1\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row12_col2\" class=\"data row12 col2\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row12_col3\" class=\"data row12 col3\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row12_col4\" class=\"data row12 col4\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row12_col5\" class=\"data row12 col5\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row12_col6\" class=\"data row12 col6\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row12_col7\" class=\"data row12 col7\" >0.07</td>\n",
       "                        <td id=\"T_6a7cb_row12_col8\" class=\"data row12 col8\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row12_col9\" class=\"data row12 col9\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row12_col10\" class=\"data row12 col10\" >0.08</td>\n",
       "                        <td id=\"T_6a7cb_row12_col11\" class=\"data row12 col11\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row12_col12\" class=\"data row12 col12\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row12_col13\" class=\"data row12 col13\" >-0.06</td>\n",
       "                        <td id=\"T_6a7cb_row12_col14\" class=\"data row12 col14\" >-0.33</td>\n",
       "                        <td id=\"T_6a7cb_row12_col15\" class=\"data row12 col15\" >0.84</td>\n",
       "                        <td id=\"T_6a7cb_row12_col16\" class=\"data row12 col16\" >-0.20</td>\n",
       "                        <td id=\"T_6a7cb_row12_col17\" class=\"data row12 col17\" >-0.41</td>\n",
       "                        <td id=\"T_6a7cb_row12_col18\" class=\"data row12 col18\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row12_col19\" class=\"data row12 col19\" >0.09</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row13\" class=\"row_heading level0 row13\" >v_std_12</th>\n",
       "                        <td id=\"T_6a7cb_row13_col0\" class=\"data row13 col0\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row13_col1\" class=\"data row13 col1\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row13_col2\" class=\"data row13 col2\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row13_col3\" class=\"data row13 col3\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row13_col4\" class=\"data row13 col4\" >0.07</td>\n",
       "                        <td id=\"T_6a7cb_row13_col5\" class=\"data row13 col5\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row13_col6\" class=\"data row13 col6\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row13_col7\" class=\"data row13 col7\" >0.18</td>\n",
       "                        <td id=\"T_6a7cb_row13_col8\" class=\"data row13 col8\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row13_col9\" class=\"data row13 col9\" >-0.06</td>\n",
       "                        <td id=\"T_6a7cb_row13_col10\" class=\"data row13 col10\" >0.24</td>\n",
       "                        <td id=\"T_6a7cb_row13_col11\" class=\"data row13 col11\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row13_col12\" class=\"data row13 col12\" >-0.06</td>\n",
       "                        <td id=\"T_6a7cb_row13_col13\" class=\"data row13 col13\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row13_col14\" class=\"data row13 col14\" >0.20</td>\n",
       "                        <td id=\"T_6a7cb_row13_col15\" class=\"data row13 col15\" >-0.19</td>\n",
       "                        <td id=\"T_6a7cb_row13_col16\" class=\"data row13 col16\" >0.51</td>\n",
       "                        <td id=\"T_6a7cb_row13_col17\" class=\"data row13 col17\" >0.27</td>\n",
       "                        <td id=\"T_6a7cb_row13_col18\" class=\"data row13 col18\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row13_col19\" class=\"data row13 col19\" >-0.01</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row14\" class=\"row_heading level0 row14\" >bv_std_12</th>\n",
       "                        <td id=\"T_6a7cb_row14_col0\" class=\"data row14 col0\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row14_col1\" class=\"data row14 col1\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row14_col2\" class=\"data row14 col2\" >0.06</td>\n",
       "                        <td id=\"T_6a7cb_row14_col3\" class=\"data row14 col3\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row14_col4\" class=\"data row14 col4\" >0.06</td>\n",
       "                        <td id=\"T_6a7cb_row14_col5\" class=\"data row14 col5\" >0.06</td>\n",
       "                        <td id=\"T_6a7cb_row14_col6\" class=\"data row14 col6\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row14_col7\" class=\"data row14 col7\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row14_col8\" class=\"data row14 col8\" >0.07</td>\n",
       "                        <td id=\"T_6a7cb_row14_col9\" class=\"data row14 col9\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row14_col10\" class=\"data row14 col10\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row14_col11\" class=\"data row14 col11\" >0.04</td>\n",
       "                        <td id=\"T_6a7cb_row14_col12\" class=\"data row14 col12\" >-0.33</td>\n",
       "                        <td id=\"T_6a7cb_row14_col13\" class=\"data row14 col13\" >0.20</td>\n",
       "                        <td id=\"T_6a7cb_row14_col14\" class=\"data row14 col14\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row14_col15\" class=\"data row14 col15\" >-0.35</td>\n",
       "                        <td id=\"T_6a7cb_row14_col16\" class=\"data row14 col16\" >0.20</td>\n",
       "                        <td id=\"T_6a7cb_row14_col17\" class=\"data row14 col17\" >0.76</td>\n",
       "                        <td id=\"T_6a7cb_row14_col18\" class=\"data row14 col18\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row14_col19\" class=\"data row14 col19\" >0.03</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row15\" class=\"row_heading level0 row15\" >p_std_48</th>\n",
       "                        <td id=\"T_6a7cb_row15_col0\" class=\"data row15 col0\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row15_col1\" class=\"data row15 col1\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row15_col2\" class=\"data row15 col2\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row15_col3\" class=\"data row15 col3\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row15_col4\" class=\"data row15 col4\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row15_col5\" class=\"data row15 col5\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row15_col6\" class=\"data row15 col6\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row15_col7\" class=\"data row15 col7\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row15_col8\" class=\"data row15 col8\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row15_col9\" class=\"data row15 col9\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row15_col10\" class=\"data row15 col10\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row15_col11\" class=\"data row15 col11\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row15_col12\" class=\"data row15 col12\" >0.84</td>\n",
       "                        <td id=\"T_6a7cb_row15_col13\" class=\"data row15 col13\" >-0.19</td>\n",
       "                        <td id=\"T_6a7cb_row15_col14\" class=\"data row15 col14\" >-0.35</td>\n",
       "                        <td id=\"T_6a7cb_row15_col15\" class=\"data row15 col15\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row15_col16\" class=\"data row15 col16\" >-0.20</td>\n",
       "                        <td id=\"T_6a7cb_row15_col17\" class=\"data row15 col17\" >-0.43</td>\n",
       "                        <td id=\"T_6a7cb_row15_col18\" class=\"data row15 col18\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row15_col19\" class=\"data row15 col19\" >0.11</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row16\" class=\"row_heading level0 row16\" >v_std_48</th>\n",
       "                        <td id=\"T_6a7cb_row16_col0\" class=\"data row16 col0\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row16_col1\" class=\"data row16 col1\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row16_col2\" class=\"data row16 col2\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row16_col3\" class=\"data row16 col3\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row16_col4\" class=\"data row16 col4\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row16_col5\" class=\"data row16 col5\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row16_col6\" class=\"data row16 col6\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row16_col7\" class=\"data row16 col7\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row16_col8\" class=\"data row16 col8\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row16_col9\" class=\"data row16 col9\" >-0.00</td>\n",
       "                        <td id=\"T_6a7cb_row16_col10\" class=\"data row16 col10\" >0.10</td>\n",
       "                        <td id=\"T_6a7cb_row16_col11\" class=\"data row16 col11\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row16_col12\" class=\"data row16 col12\" >-0.20</td>\n",
       "                        <td id=\"T_6a7cb_row16_col13\" class=\"data row16 col13\" >0.51</td>\n",
       "                        <td id=\"T_6a7cb_row16_col14\" class=\"data row16 col14\" >0.20</td>\n",
       "                        <td id=\"T_6a7cb_row16_col15\" class=\"data row16 col15\" >-0.20</td>\n",
       "                        <td id=\"T_6a7cb_row16_col16\" class=\"data row16 col16\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row16_col17\" class=\"data row16 col17\" >0.32</td>\n",
       "                        <td id=\"T_6a7cb_row16_col18\" class=\"data row16 col18\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row16_col19\" class=\"data row16 col19\" >-0.11</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row17\" class=\"row_heading level0 row17\" >bv_std_48</th>\n",
       "                        <td id=\"T_6a7cb_row17_col0\" class=\"data row17 col0\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row17_col1\" class=\"data row17 col1\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row17_col2\" class=\"data row17 col2\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row17_col3\" class=\"data row17 col3\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row17_col4\" class=\"data row17 col4\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row17_col5\" class=\"data row17 col5\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row17_col6\" class=\"data row17 col6\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row17_col7\" class=\"data row17 col7\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row17_col8\" class=\"data row17 col8\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row17_col9\" class=\"data row17 col9\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row17_col10\" class=\"data row17 col10\" >0.04</td>\n",
       "                        <td id=\"T_6a7cb_row17_col11\" class=\"data row17 col11\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row17_col12\" class=\"data row17 col12\" >-0.41</td>\n",
       "                        <td id=\"T_6a7cb_row17_col13\" class=\"data row17 col13\" >0.27</td>\n",
       "                        <td id=\"T_6a7cb_row17_col14\" class=\"data row17 col14\" >0.76</td>\n",
       "                        <td id=\"T_6a7cb_row17_col15\" class=\"data row17 col15\" >-0.43</td>\n",
       "                        <td id=\"T_6a7cb_row17_col16\" class=\"data row17 col16\" >0.32</td>\n",
       "                        <td id=\"T_6a7cb_row17_col17\" class=\"data row17 col17\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row17_col18\" class=\"data row17 col18\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row17_col19\" class=\"data row17 col19\" >0.02</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row18\" class=\"row_heading level0 row18\" >bv_sma_10</th>\n",
       "                        <td id=\"T_6a7cb_row18_col0\" class=\"data row18 col0\" >0.09</td>\n",
       "                        <td id=\"T_6a7cb_row18_col1\" class=\"data row18 col1\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row18_col2\" class=\"data row18 col2\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row18_col3\" class=\"data row18 col3\" >0.25</td>\n",
       "                        <td id=\"T_6a7cb_row18_col4\" class=\"data row18 col4\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row18_col5\" class=\"data row18 col5\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row18_col6\" class=\"data row18 col6\" >0.38</td>\n",
       "                        <td id=\"T_6a7cb_row18_col7\" class=\"data row18 col7\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row18_col8\" class=\"data row18 col8\" >0.18</td>\n",
       "                        <td id=\"T_6a7cb_row18_col9\" class=\"data row18 col9\" >0.32</td>\n",
       "                        <td id=\"T_6a7cb_row18_col10\" class=\"data row18 col10\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row18_col11\" class=\"data row18 col11\" >0.23</td>\n",
       "                        <td id=\"T_6a7cb_row18_col12\" class=\"data row18 col12\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row18_col13\" class=\"data row18 col13\" >-0.04</td>\n",
       "                        <td id=\"T_6a7cb_row18_col14\" class=\"data row18 col14\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row18_col15\" class=\"data row18 col15\" >0.05</td>\n",
       "                        <td id=\"T_6a7cb_row18_col16\" class=\"data row18 col16\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row18_col17\" class=\"data row18 col17\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row18_col18\" class=\"data row18 col18\" >1.00</td>\n",
       "                        <td id=\"T_6a7cb_row18_col19\" class=\"data row18 col19\" >0.42</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_6a7cb_level0_row19\" class=\"row_heading level0 row19\" >bv_sma_60</th>\n",
       "                        <td id=\"T_6a7cb_row19_col0\" class=\"data row19 col0\" >0.04</td>\n",
       "                        <td id=\"T_6a7cb_row19_col1\" class=\"data row19 col1\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row19_col2\" class=\"data row19 col2\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row19_col3\" class=\"data row19 col3\" >0.10</td>\n",
       "                        <td id=\"T_6a7cb_row19_col4\" class=\"data row19 col4\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row19_col5\" class=\"data row19 col5\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row19_col6\" class=\"data row19 col6\" >0.15</td>\n",
       "                        <td id=\"T_6a7cb_row19_col7\" class=\"data row19 col7\" >0.01</td>\n",
       "                        <td id=\"T_6a7cb_row19_col8\" class=\"data row19 col8\" >-0.02</td>\n",
       "                        <td id=\"T_6a7cb_row19_col9\" class=\"data row19 col9\" >0.24</td>\n",
       "                        <td id=\"T_6a7cb_row19_col10\" class=\"data row19 col10\" >0.00</td>\n",
       "                        <td id=\"T_6a7cb_row19_col11\" class=\"data row19 col11\" >-0.03</td>\n",
       "                        <td id=\"T_6a7cb_row19_col12\" class=\"data row19 col12\" >0.09</td>\n",
       "                        <td id=\"T_6a7cb_row19_col13\" class=\"data row19 col13\" >-0.01</td>\n",
       "                        <td id=\"T_6a7cb_row19_col14\" class=\"data row19 col14\" >0.03</td>\n",
       "                        <td id=\"T_6a7cb_row19_col15\" class=\"data row19 col15\" >0.11</td>\n",
       "                        <td id=\"T_6a7cb_row19_col16\" class=\"data row19 col16\" >-0.11</td>\n",
       "                        <td id=\"T_6a7cb_row19_col17\" class=\"data row19 col17\" >0.02</td>\n",
       "                        <td id=\"T_6a7cb_row19_col18\" class=\"data row19 col18\" >0.42</td>\n",
       "                        <td id=\"T_6a7cb_row19_col19\" class=\"data row19 col19\" >1.00</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x28908018608>"
      ]
     },
     "execution_count": 244,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr = feature.corr()\n",
    "corr.style.background_gradient(cmap='coolwarm').set_precision(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "metadata": {},
   "outputs": [],
   "source": [
    "sma5_direction = np.sign(df.close.rolling(5).mean().shift(-1).diff().dropna())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 252,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = sma5_direction.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 253,
   "metadata": {},
   "outputs": [],
   "source": [
    "y.loc[y==0] = 1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 254,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "23506"
      ]
     },
     "execution_count": 254,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 255,
   "metadata": {},
   "outputs": [],
   "source": [
    "tmp = feature.join(y).dropna()\n",
    "X = tmp.iloc[:,:-1]\n",
    "y = tmp.iloc[:,-1]\n",
    "\n",
    "X_train = X.iloc[:-3000]\n",
    "X_test = X.iloc[-3000:]\n",
    "\n",
    "y_train = y.iloc[:-3000]\n",
    "y_test = y.iloc[-3000:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 256,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.decomposition import PCA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 261,
   "metadata": {},
   "outputs": [],
   "source": [
    "# scaling은 트레인 테스트 나누어야함.\n",
    "\n",
    "scaler = StandardScaler()\n",
    "feature_scaled_train = scaler.fit_transform(X_train)\n",
    "feature_scaled_train = pd.DataFrame(feature_scaled_train,\n",
    "                          index=X_train.index, columns=X_train.columns)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# feature preprocess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "#for i in feature_scaled_train.columns:\n",
    "#    plt.figure()\n",
    "#    plt.plot(feature_scaled_train[i])\n",
    "#    plt.title(i)\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 295,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA(5)\n",
    "X_train_pc = pca.fit_transform(feature_scaled_train)\n",
    "X_train_pc = pd.DataFrame(X_train_pc,index=X_train.index,columns=['pc_{}'.format(i) for i in range(0,n_components_)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {},
   "outputs": [],
   "source": [
    "#for i in X_train_pc.columns:\n",
    "#    plt.figure()\n",
    "#    plt.plot(X_train_pc[i])\n",
    "#    plt.title(i)\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 265,
   "metadata": {},
   "outputs": [],
   "source": [
    "components_ = pca.components_\n",
    "n_components_ = pca.n_components_\n",
    "explained_variance_ratio_ = pca.explained_variance_ratio_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Train&test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 269,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.kernel_ridge import KernelRidge\n",
    "\n",
    "clf = RandomForestClassifier()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 206,
   "metadata": {},
   "outputs": [],
   "source": [
    "#RF\n",
    "\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "n_estimators = [500,1000]\n",
    "max_depth = [2, 5]\n",
    "\n",
    "param_grid = dict(n_estimators = n_estimators, max_depth = max_depth)\n",
    "gs = GridSearchCV(clf, param_grid = param_grid, scoring ='precision')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 207,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "GridSearchCV(estimator=RandomForestClassifier(),\n",
       "             param_grid={'max_depth': [2, 5], 'n_estimators': [500, 1000]},\n",
       "             scoring='precision')"
      ]
     },
     "execution_count": 207,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#gs.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 212,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'max_depth': 5, 'n_estimators': 1000}"
      ]
     },
     "execution_count": 212,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#gs.best_params_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 270,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(max_depth=5, n_estimators=1000)"
      ]
     },
     "execution_count": 270,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clf = RandomForestClassifier(n_estimators=1000, max_depth=5) #I'll skip Gridsearch\n",
    "clf.fit(X_train_pc,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {},
   "outputs": [],
   "source": [
    "# test feature preprocess\n",
    "\n",
    "scaler = StandardScaler()\n",
    "feature_scaled_test = scaler.fit_transform(X_test)\n",
    "feature_scaled_test = pd.DataFrame(feature_scaled_test,\n",
    "                          index=X_test.index, columns=X_test.columns)\n",
    "\n",
    "pca = PCA(5)\n",
    "X_test_pc = pca.fit_transform(feature_scaled_test)\n",
    "X_test_pc = pd.DataFrame(X_test_pc,index=X_test.index,columns=['pc_{}'.format(i) for i in range(0,n_components_)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = clf.predict(X_test_pc)\n",
    "y_pred = pd.Series(y_pred, index=X_test.index).rename('y_pred')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 274,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import precision_score, accuracy_score\n",
    "p = precision_score(y_test, y_pred)\n",
    "a = accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Precision Score: 0.7003\n",
      "Accuracy Score: 0.6967\n"
     ]
    }
   ],
   "source": [
    "print('Precision Score: {}'.format(p.round(4)))\n",
    "print('Accuracy Score: {}'.format(a.round(4)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 310,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mdi = pd.DataFrame(clf.feature_importances_, columns = ['MDI'], index = X_test_pc.columns).sort_values('MDI', ascending=False)\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.bar(mdi.index, mdi.MDI)\n",
    "plt.title(\"Feature Importance: MDI\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {},
   "outputs": [],
   "source": [
    "#n_loadings = n_components_\n",
    "#fig, axs = plt.subplots(n_loadings, 1, sharex=True, figsize=(15, 10))\n",
    "#for i in range(n_loadings):\n",
    "#        axs[i].bar([i for i in feature.columns],\n",
    "#                    components_[i])\n",
    "#        axs[i].set_ylabel('component '+str(i)+' loading',\n",
    "#                            fontsize=10)\n",
    "#axs[0].set_title('PCA Loadings', fontsize=10)\n",
    "#axs[i].set_xlabel('Features', fontsize=10)\n",
    "#\n",
    "#fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "metadata": {},
   "outputs": [],
   "source": [
    "# most important pc\n",
    "\n",
    "corr_mi_pc = X_train.join(X_train_pc['pc_0']).corr().iloc[:,-1].sort_values().to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "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>pc_0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>p_mom_10</th>\n",
       "      <td>-0.689162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p_mom_5</th>\n",
       "      <td>-0.680971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p_mom_20</th>\n",
       "      <td>-0.583892</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p_mom_1</th>\n",
       "      <td>-0.572895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bv_mom_20</th>\n",
       "      <td>-0.558084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bv_mom_10</th>\n",
       "      <td>-0.542718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bv_sma_10</th>\n",
       "      <td>-0.471710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bv_mom_5</th>\n",
       "      <td>-0.471126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bv_mom_1</th>\n",
       "      <td>-0.434349</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bv_sma_60</th>\n",
       "      <td>-0.228522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bv_std_12</th>\n",
       "      <td>-0.147046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>bv_std_48</th>\n",
       "      <td>-0.140413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v_std_48</th>\n",
       "      <td>-0.053679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v_std_12</th>\n",
       "      <td>0.000054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p_std_48</th>\n",
       "      <td>0.082591</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v_mom_1</th>\n",
       "      <td>0.084681</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v_mom_5</th>\n",
       "      <td>0.098985</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v_mom_20</th>\n",
       "      <td>0.108701</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>v_mom_10</th>\n",
       "      <td>0.112225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>p_std_12</th>\n",
       "      <td>0.121885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pc_0</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               pc_0\n",
       "p_mom_10  -0.689162\n",
       "p_mom_5   -0.680971\n",
       "p_mom_20  -0.583892\n",
       "p_mom_1   -0.572895\n",
       "bv_mom_20 -0.558084\n",
       "bv_mom_10 -0.542718\n",
       "bv_sma_10 -0.471710\n",
       "bv_mom_5  -0.471126\n",
       "bv_mom_1  -0.434349\n",
       "bv_sma_60 -0.228522\n",
       "bv_std_12 -0.147046\n",
       "bv_std_48 -0.140413\n",
       "v_std_48  -0.053679\n",
       "v_std_12   0.000054\n",
       "p_std_48   0.082591\n",
       "v_mom_1    0.084681\n",
       "v_mom_5    0.098985\n",
       "v_mom_20   0.108701\n",
       "v_mom_10   0.112225\n",
       "p_std_12   0.121885\n",
       "pc_0       1.000000"
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_mi_pc"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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  "language_info": {
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