数据获取-ABU量化系统.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ABU 量化系统  简介 （版本 0.1）\n",
    "\n",
    "* #### __author__ = 'BBFamily'\n",
    "* ####  __email__ = 'bbfamily@126.com'\n",
    "* ####  __weixin__ = 'aaaabbbuu'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 第一部分 数据获取"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import ZEnv\n",
    "import ZLog\n",
    "import ZCommonUtil\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "makedirs data/DayKLine/2016-09-19\n"
     ]
    }
   ],
   "source": [
    "import SymbolPd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "kl_pd = SymbolPd.make_kfold_pd('usNOAH')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "(504, 12)\n",
      "None\n",
      "            atr14       atr21       close          date   date_week  \\\n",
      "count  504.000000  504.000000  504.000000  5.040000e+02  504.000000   \n",
      "mean     1.459066    1.458645   24.391329  2.015252e+07    2.017857   \n",
      "std      0.468504    0.433271    5.141005  6.667360e+03    1.396416   \n",
      "min      0.622084    0.665682   12.950000  2.014091e+07    0.000000   \n",
      "25%      1.138517    1.167521   21.402500  2.015031e+07    1.000000   \n",
      "50%      1.505344    1.518778   24.380000  2.015091e+07    2.000000   \n",
      "75%      1.760947    1.740111   26.955000  2.016031e+07    3.000000   \n",
      "max      3.044239    2.715260   37.320000  2.016091e+07    4.000000   \n",
      "\n",
      "             high         key         low  netChangeRatio        open  \\\n",
      "count  504.000000  504.000000  504.000000      504.000000  504.000000   \n",
      "mean    24.936770  251.500000   23.820790        0.163690   24.376387   \n",
      "std      5.265632  145.636534    5.024205        3.598193    5.140118   \n",
      "min     13.420000    0.000000   12.890000      -10.860000   13.060000   \n",
      "25%     21.807500  125.750000   20.597500       -2.040000   21.200000   \n",
      "50%     25.115000  251.500000   23.960000        0.045000   24.525000   \n",
      "75%     27.455000  377.250000   26.490000        1.997500   26.962500   \n",
      "max     37.960000  503.000000   36.030000       18.450000   37.370000   \n",
      "\n",
      "         preClose        volume  \n",
      "count  504.000000  5.040000e+02  \n",
      "mean    24.371151  4.591360e+05  \n",
      "std      5.155777  3.924157e+05  \n",
      "min     12.950000  1.661000e+03  \n",
      "25%     21.312500  2.285695e+05  \n",
      "50%     24.380000  3.652830e+05  \n",
      "75%     26.955000  5.510848e+05  \n",
      "max     37.320000  4.043378e+06  \n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 504 entries, 2014-09-09 to 2016-09-09\n",
      "Data columns (total 12 columns):\n",
      "atr14             504 non-null float64\n",
      "atr21             504 non-null float64\n",
      "close             504 non-null float64\n",
      "date              504 non-null int64\n",
      "date_week         504 non-null int64\n",
      "high              504 non-null float64\n",
      "key               504 non-null int64\n",
      "low               504 non-null float64\n",
      "netChangeRatio    504 non-null float64\n",
      "open              504 non-null float64\n",
      "preClose          504 non-null float64\n",
      "volume            504 non-null int64\n",
      "dtypes: float64(8), int64(4)\n",
      "memory usage: 51.2 KB\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>atr14</th>\n",
       "      <th>atr21</th>\n",
       "      <th>close</th>\n",
       "      <th>date</th>\n",
       "      <th>date_week</th>\n",
       "      <th>high</th>\n",
       "      <th>key</th>\n",
       "      <th>low</th>\n",
       "      <th>netChangeRatio</th>\n",
       "      <th>open</th>\n",
       "      <th>preClose</th>\n",
       "      <th>volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-09-09</th>\n",
       "      <td>0.883184</td>\n",
       "      <td>0.890822</td>\n",
       "      <td>15.11</td>\n",
       "      <td>20140909</td>\n",
       "      <td>1</td>\n",
       "      <td>15.645</td>\n",
       "      <td>0</td>\n",
       "      <td>15.07</td>\n",
       "      <td>-2.89</td>\n",
       "      <td>15.51</td>\n",
       "      <td>15.56</td>\n",
       "      <td>145848</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-09-10</th>\n",
       "      <td>0.874386</td>\n",
       "      <td>0.884592</td>\n",
       "      <td>15.16</td>\n",
       "      <td>20140910</td>\n",
       "      <td>2</td>\n",
       "      <td>15.180</td>\n",
       "      <td>1</td>\n",
       "      <td>14.80</td>\n",
       "      <td>0.33</td>\n",
       "      <td>15.15</td>\n",
       "      <td>15.11</td>\n",
       "      <td>240016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-09-11</th>\n",
       "      <td>0.845501</td>\n",
       "      <td>0.864850</td>\n",
       "      <td>15.26</td>\n",
       "      <td>20140911</td>\n",
       "      <td>3</td>\n",
       "      <td>15.370</td>\n",
       "      <td>2</td>\n",
       "      <td>14.90</td>\n",
       "      <td>0.66</td>\n",
       "      <td>15.13</td>\n",
       "      <td>15.16</td>\n",
       "      <td>234947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-09-12</th>\n",
       "      <td>0.823679</td>\n",
       "      <td>0.849381</td>\n",
       "      <td>14.89</td>\n",
       "      <td>20140912</td>\n",
       "      <td>4</td>\n",
       "      <td>15.250</td>\n",
       "      <td>3</td>\n",
       "      <td>14.71</td>\n",
       "      <td>-2.42</td>\n",
       "      <td>15.25</td>\n",
       "      <td>15.26</td>\n",
       "      <td>439425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-09-15</th>\n",
       "      <td>0.825559</td>\n",
       "      <td>0.849410</td>\n",
       "      <td>14.63</td>\n",
       "      <td>20140915</td>\n",
       "      <td>0</td>\n",
       "      <td>14.870</td>\n",
       "      <td>4</td>\n",
       "      <td>14.41</td>\n",
       "      <td>-1.75</td>\n",
       "      <td>14.87</td>\n",
       "      <td>14.89</td>\n",
       "      <td>288421</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               atr14     atr21  close      date  date_week    high  key  \\\n",
       "2014-09-09  0.883184  0.890822  15.11  20140909          1  15.645    0   \n",
       "2014-09-10  0.874386  0.884592  15.16  20140910          2  15.180    1   \n",
       "2014-09-11  0.845501  0.864850  15.26  20140911          3  15.370    2   \n",
       "2014-09-12  0.823679  0.849381  14.89  20140912          4  15.250    3   \n",
       "2014-09-15  0.825559  0.849410  14.63  20140915          0  14.870    4   \n",
       "\n",
       "              low  netChangeRatio   open  preClose  volume  \n",
       "2014-09-09  15.07           -2.89  15.51     15.56  145848  \n",
       "2014-09-10  14.80            0.33  15.15     15.11  240016  \n",
       "2014-09-11  14.90            0.66  15.13     15.16  234947  \n",
       "2014-09-12  14.71           -2.42  15.25     15.26  439425  \n",
       "2014-09-15  14.41           -1.75  14.87     14.89  288421  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ZLog.info(kl_pd.shape)\n",
    "ZLog.info(kl_pd.info())\n",
    "ZLog.info(kl_pd.describe())\n",
    "kl_pd.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**默认获取最近两年数据，与大盘ixic做数据对齐操作， 多年数据修改参数，n_folds**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1260, 12)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "klpd_5y = SymbolPd.make_kfold_pd('usNOAH', n_folds=5)\n",
    "klpd_5y.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**多个股票**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "p_data = SymbolPd.make_kfold_mulpd(['usNOAH', 'usSFUN'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**得到三维面板数据，可灵活使用**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.panel.Panel'>\n",
      "Dimensions: 2 (items) x 504 (major_axis) x 12 (minor_axis)\n",
      "Items axis: usNOAH to usSFUN\n",
      "Major_axis axis: 2014-07-25 00:00:00 to 2016-07-26 00:00:00\n",
      "Minor_axis axis: atr14 to volume\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>usNOAH</th>\n",
       "      <th>usSFUN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2014-07-25</th>\n",
       "      <td>15.32</td>\n",
       "      <td>12.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-07-28</th>\n",
       "      <td>16.13</td>\n",
       "      <td>12.45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-07-29</th>\n",
       "      <td>16.75</td>\n",
       "      <td>12.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-07-30</th>\n",
       "      <td>16.83</td>\n",
       "      <td>11.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2014-07-31</th>\n",
       "      <td>16.06</td>\n",
       "      <td>11.47</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            usNOAH  usSFUN\n",
       "2014-07-25   15.32   12.11\n",
       "2014-07-28   16.13   12.45\n",
       "2014-07-29   16.75   12.22\n",
       "2014-07-30   16.83   11.78\n",
       "2014-07-31   16.06   11.47"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ZLog.info(p_data)\n",
    "p_data_it = p_data.swapaxes('items', 'minor')\n",
    "data = p_data_it['close']\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**切割数据**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function get_n_year in module SymbolPd:\n",
      "\n",
      "get_n_year(kl_pd, from_year, get_year=1, direction='bf')\n",
      "    获取pd中第n年切片数据\n",
      "    :param kl_pd:\n",
      "    :param from_year: form 1开始纠错0 to 1\n",
      "    :param get_year: 要几年的数据1就是1年，0.5半年 默认1 year支持0.1 to inf\n",
      "    :param direction:='bf' 从后向前切 ='ff' 从前向后切\n",
      "    :return:\n",
      "\n"
     ]
    }
   ],
   "source": [
    "help(SymbolPd.get_n_year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "(75, 12)\n"
     ]
    }
   ],
   "source": [
    "kl_pd = SymbolPd.get_n_year(klpd_5y, 3, 0.3)\n",
    "ZLog.info(kl_pd.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**分时数据**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "\"\"\"\n",
    "make_kminute_foldpd\n",
    ":param target_symbol:\n",
    ":param n_folds: 获取几天的数据\n",
    ":param period: 获取时间间隔,单位分钟\n",
    ":return:\n",
    "\"\"\"\n",
    "kl_pd_min = SymbolPd.make_kminute_foldpd('usNOAH', n_folds=5, period=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1955, 4)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kl_pd_min.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>netChangeRatio</th>\n",
       "      <th>preClose</th>\n",
       "      <th>price</th>\n",
       "      <th>volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-09-02 15:56:00</th>\n",
       "      <td>0.458361</td>\n",
       "      <td>26.18</td>\n",
       "      <td>26.299999</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-02 15:57:00</th>\n",
       "      <td>0.458361</td>\n",
       "      <td>26.18</td>\n",
       "      <td>26.299999</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-02 15:58:00</th>\n",
       "      <td>0.458361</td>\n",
       "      <td>26.18</td>\n",
       "      <td>26.299999</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-02 15:59:00</th>\n",
       "      <td>0.458361</td>\n",
       "      <td>26.18</td>\n",
       "      <td>26.299999</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-09-02 16:00:00</th>\n",
       "      <td>0.458361</td>\n",
       "      <td>26.18</td>\n",
       "      <td>26.299999</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     netChangeRatio  preClose      price  volume\n",
       "2016-09-02 15:56:00        0.458361     26.18  26.299999     100\n",
       "2016-09-02 15:57:00        0.458361     26.18  26.299999       0\n",
       "2016-09-02 15:58:00        0.458361     26.18  26.299999       0\n",
       "2016-09-02 15:59:00        0.458361     26.18  26.299999       0\n",
       "2016-09-02 16:00:00        0.458361     26.18  26.299999       0"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kl_pd_min.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**基本面数据**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "NOAH info form local\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Avg_Daily_Volume            349135\n",
       "EPS_Current_Year              1.74\n",
       "EPS_Next_Year                 1.96\n",
       "EPS_Next_Quarter                 0\n",
       "Dividend_Yield                   0\n",
       "Earnings_Share               1.478\n",
       "Dividend_Share                   0\n",
       "Dividend_Pay_Date         4/9/2013\n",
       "52_weekLow                   18.66\n",
       "52_weekHigh                  37.96\n",
       "50_mv                      25.3009\n",
       "200_mv                     26.6089\n",
       "PE_Ratio                   17.5914\n",
       "PEG_Ratio                     0.69\n",
       "PERatio_Real                   NaN\n",
       "Price_EPS_Current_Year     14.9426\n",
       "Price_EPS_Next_Year        13.2654\n",
       "1yr_Target_Price                28\n",
       "Name: NOAH, dtype: object"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SymbolPd.make_pd_info('usNOAH')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**当天实时数据**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "['LYRPeratio', 'TTMPeratio', 'amount', 'amplitudeRatio', 'ask', 'bid', 'bvRatio', 'capitalization', 'ccl', 'circulatingCapital', 'close', 'count', 'currencyValue', 'date', 'dealCount', 'fairNum', 'fallNum', 'high', 'index', 'industryList', 'inside', 'limitDown', 'limitUp', 'low', 'netAssetsPerShare', 'netChange', 'netChangeRatio', 'netFundsFlow', 'nowVol', 'open', 'outside', 'perShareEarn', 'peratio', 'preClose', 'psRatio', 'riseNum', 'stockBasic', 'time', 'totalShareCapital', 'turnoverRatio', 'usestedt', 'volume', 'volumeRatio', 'weekHigh', 'weekLow', 'weibiRatio']\n",
      "0\n",
      "[StockBets(volume=2, price=26.329999923706)]\n",
      "[StockBets(volume=1, price=26.219999313354)]\n"
     ]
    }
   ],
   "source": [
    "bets = SymbolPd.make_pd_bets('usNOAH').snapShot\n",
    "ZLog.info(filter(lambda x: not x.startswith('_'), dir(bets)))\n",
    "ZLog.info(bets.amount)\n",
    "ZLog.info(bets.ask)\n",
    "ZLog.info(bets.bid)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**绘制数据**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import MarketDrawer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 静态不可交互"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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K1sNAWsarlzWzHQW2kUuj96T7npxo+HJJt0fp3r+rHJVfN/ebUkxCaZ3J7P6N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\nUhv/A52LtDaXLucxAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x117f16e50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "MarketDrawer.plot_candle_form_klpd(kl_pd)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 动态可交互"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "MarketDrawer.plot_candle_form_klpd(klpd_5y, html_bk=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image](./Snip20160904_3.png) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**MarketDrawer 支持从order中绘制，并可加入更多的标记点之后会有操作介绍，支持多个同时显示操作，save参数支持\n",
    "保存在本地**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['plot_candle_form_klpd',\n",
       " 'plot_candle_from_order',\n",
       " 'plot_candle_from_symbol',\n",
       " 'plot_candle_stick',\n",
       " 'plot_html_symbol',\n",
       " 'plot_minute_candle_from_klpd',\n",
       " 'plot_minute_candle_from_symbol',\n",
       " 'plot_simple_mul_stock',\n",
       " 'plot_symbol']"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filter(lambda x: x.startswith('plot'), dir(MarketDrawer))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image](./Snip20160904_4.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 分时图型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "原始数据没有high，low， open， close等数据，所有绘制柱状图\n",
    "使用5m resample 高开低收"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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8PpxrLPz7MTY2Njae7ziZyvPd9P8no4OL/36NjY2Nj/j4/PnzuXDhwtX6yjTM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\nTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x122e03710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pd_minute = MarketDrawer.plot_minute_candle_from_symbol('usQIWI')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 获取相同分类的股票列表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FlJSUkJycDIDBYGD27NnMnj2b7OxsRo4cyYABAxg5cmSTfW3dupWjR48GP7fM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uoW7GEZcCfFX8L+0FoImjCnOlHGyK70JkcTcdo4QC45OS01NTA2QS7e7yoqZ9K09YQiskZudciW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cTtO0pohEIs7V9cR2cXLinsHAlr0mjh2DTZvgwnte+Lj/MaLwn+M5Dw9e8vTk6zp3LCelYFoT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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11e3e4b10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import IndustriesHelper\n",
    "r_symbol = 'usSFUN'\n",
    "pDate, pdata_it = IndustriesHelper.get_industries_panel_from_target(r_symbol, show=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>2014-07-31 00:00:00</th>\n",
       "      <th>2014-08-31 00:00:00</th>\n",
       "      <th>2014-09-30 00:00:00</th>\n",
       "      <th>2014-10-31 00:00:00</th>\n",
       "      <th>2014-11-30 00:00:00</th>\n",
       "      <th>2014-12-31 00:00:00</th>\n",
       "      <th>2015-01-31 00:00:00</th>\n",
       "      <th>2015-02-28 00:00:00</th>\n",
       "      <th>2015-03-31 00:00:00</th>\n",
       "      <th>2015-04-30 00:00:00</th>\n",
       "      <th>...</th>\n",
       "      <th>2015-10-31 00:00:00</th>\n",
       "      <th>2015-11-30 00:00:00</th>\n",
       "      <th>2015-12-31 00:00:00</th>\n",
       "      <th>2016-01-31 00:00:00</th>\n",
       "      <th>2016-02-29 00:00:00</th>\n",
       "      <th>2016-03-31 00:00:00</th>\n",
       "      <th>2016-04-30 00:00:00</th>\n",
       "      <th>2016-05-31 00:00:00</th>\n",
       "      <th>2016-06-30 00:00:00</th>\n",
       "      <th>2016-07-31 00:00:00</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>usATHM</th>\n",
       "      <td>1.802</td>\n",
       "      <td>1.428095</td>\n",
       "      <td>-0.523333</td>\n",
       "      <td>1.049565</td>\n",
       "      <td>-0.979474</td>\n",
       "      <td>-0.734545</td>\n",
       "      <td>-0.0340</td>\n",
       "      <td>0.397368</td>\n",
       "      <td>0.720455</td>\n",
       "      <td>0.753810</td>\n",
       "      <td>...</td>\n",
       "      <td>0.515909</td>\n",
       "      <td>-0.8040</td>\n",
       "      <td>0.672273</td>\n",
       "      <td>-1.775263</td>\n",
       "      <td>0.0170</td>\n",
       "      <td>0.650000</td>\n",
       "      <td>0.294286</td>\n",
       "      <td>-0.821429</td>\n",
       "      <td>-0.962381</td>\n",
       "      <td>0.297059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usBIDU</th>\n",
       "      <td>1.238</td>\n",
       "      <td>-0.028571</td>\n",
       "      <td>0.107143</td>\n",
       "      <td>0.420435</td>\n",
       "      <td>0.154211</td>\n",
       "      <td>-0.315000</td>\n",
       "      <td>-0.2105</td>\n",
       "      <td>-0.338421</td>\n",
       "      <td>0.115455</td>\n",
       "      <td>-0.158095</td>\n",
       "      <td>...</td>\n",
       "      <td>1.479091</td>\n",
       "      <td>0.7825</td>\n",
       "      <td>-0.632273</td>\n",
       "      <td>-0.726842</td>\n",
       "      <td>0.3725</td>\n",
       "      <td>0.450000</td>\n",
       "      <td>0.097143</td>\n",
       "      <td>-0.363810</td>\n",
       "      <td>-0.240476</td>\n",
       "      <td>-0.061765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usBITA</th>\n",
       "      <td>-0.704</td>\n",
       "      <td>2.402381</td>\n",
       "      <td>-0.498571</td>\n",
       "      <td>0.398696</td>\n",
       "      <td>0.618947</td>\n",
       "      <td>-1.159545</td>\n",
       "      <td>-0.6525</td>\n",
       "      <td>0.344211</td>\n",
       "      <td>-0.853182</td>\n",
       "      <td>0.803333</td>\n",
       "      <td>...</td>\n",
       "      <td>0.408182</td>\n",
       "      <td>-0.7630</td>\n",
       "      <td>0.286818</td>\n",
       "      <td>-2.127895</td>\n",
       "      <td>0.6550</td>\n",
       "      <td>0.890000</td>\n",
       "      <td>0.077619</td>\n",
       "      <td>-0.890952</td>\n",
       "      <td>1.760952</td>\n",
       "      <td>0.054118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usDATE</th>\n",
       "      <td>1.298</td>\n",
       "      <td>0.090476</td>\n",
       "      <td>0.660476</td>\n",
       "      <td>-0.759130</td>\n",
       "      <td>-0.566316</td>\n",
       "      <td>-0.020000</td>\n",
       "      <td>-0.2730</td>\n",
       "      <td>0.408947</td>\n",
       "      <td>0.305000</td>\n",
       "      <td>0.759048</td>\n",
       "      <td>...</td>\n",
       "      <td>0.335455</td>\n",
       "      <td>0.2275</td>\n",
       "      <td>0.356364</td>\n",
       "      <td>-0.148947</td>\n",
       "      <td>0.0145</td>\n",
       "      <td>0.117273</td>\n",
       "      <td>0.000476</td>\n",
       "      <td>0.520952</td>\n",
       "      <td>0.940000</td>\n",
       "      <td>0.940000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usFENG</th>\n",
       "      <td>-0.082</td>\n",
       "      <td>0.160000</td>\n",
       "      <td>-0.456667</td>\n",
       "      <td>0.447391</td>\n",
       "      <td>-0.738421</td>\n",
       "      <td>-0.270455</td>\n",
       "      <td>-0.3425</td>\n",
       "      <td>-0.222105</td>\n",
       "      <td>-1.112273</td>\n",
       "      <td>1.190952</td>\n",
       "      <td>...</td>\n",
       "      <td>0.480000</td>\n",
       "      <td>0.0800</td>\n",
       "      <td>0.993636</td>\n",
       "      <td>-1.473158</td>\n",
       "      <td>-0.7970</td>\n",
       "      <td>0.843636</td>\n",
       "      <td>-0.478571</td>\n",
       "      <td>0.013810</td>\n",
       "      <td>-0.395714</td>\n",
       "      <td>0.282941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usJOBS</th>\n",
       "      <td>0.638</td>\n",
       "      <td>-2.751429</td>\n",
       "      <td>-0.678571</td>\n",
       "      <td>0.118261</td>\n",
       "      <td>0.961053</td>\n",
       "      <td>-0.094545</td>\n",
       "      <td>-0.0745</td>\n",
       "      <td>0.070000</td>\n",
       "      <td>-0.410455</td>\n",
       "      <td>0.540476</td>\n",
       "      <td>...</td>\n",
       "      <td>0.977727</td>\n",
       "      <td>-0.2950</td>\n",
       "      <td>-0.329545</td>\n",
       "      <td>-0.264737</td>\n",
       "      <td>0.0235</td>\n",
       "      <td>0.560455</td>\n",
       "      <td>-0.180952</td>\n",
       "      <td>0.203333</td>\n",
       "      <td>-0.320952</td>\n",
       "      <td>0.395882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usJRJC</th>\n",
       "      <td>-0.934</td>\n",
       "      <td>4.904762</td>\n",
       "      <td>-1.108095</td>\n",
       "      <td>-0.689565</td>\n",
       "      <td>1.502105</td>\n",
       "      <td>-1.156818</td>\n",
       "      <td>-0.3010</td>\n",
       "      <td>0.755789</td>\n",
       "      <td>-0.993636</td>\n",
       "      <td>1.079524</td>\n",
       "      <td>...</td>\n",
       "      <td>0.775000</td>\n",
       "      <td>0.1725</td>\n",
       "      <td>2.122273</td>\n",
       "      <td>-0.763684</td>\n",
       "      <td>0.0205</td>\n",
       "      <td>-0.121818</td>\n",
       "      <td>0.523810</td>\n",
       "      <td>-0.833333</td>\n",
       "      <td>0.211429</td>\n",
       "      <td>-0.281176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usKUTV</th>\n",
       "      <td>-0.166</td>\n",
       "      <td>1.202381</td>\n",
       "      <td>-0.802857</td>\n",
       "      <td>-0.044783</td>\n",
       "      <td>-0.264211</td>\n",
       "      <td>-0.543182</td>\n",
       "      <td>0.9065</td>\n",
       "      <td>-0.356316</td>\n",
       "      <td>0.050909</td>\n",
       "      <td>-0.058571</td>\n",
       "      <td>...</td>\n",
       "      <td>0.646818</td>\n",
       "      <td>0.0685</td>\n",
       "      <td>1.391818</td>\n",
       "      <td>-0.880000</td>\n",
       "      <td>0.9205</td>\n",
       "      <td>0.231818</td>\n",
       "      <td>0.737143</td>\n",
       "      <td>-0.077619</td>\n",
       "      <td>0.240952</td>\n",
       "      <td>-0.102353</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usKZ</th>\n",
       "      <td>-0.086</td>\n",
       "      <td>-0.080476</td>\n",
       "      <td>-0.934762</td>\n",
       "      <td>-0.368696</td>\n",
       "      <td>0.558947</td>\n",
       "      <td>-0.790000</td>\n",
       "      <td>-0.0435</td>\n",
       "      <td>-0.288421</td>\n",
       "      <td>0.439091</td>\n",
       "      <td>1.087619</td>\n",
       "      <td>...</td>\n",
       "      <td>0.256818</td>\n",
       "      <td>-0.0405</td>\n",
       "      <td>0.413636</td>\n",
       "      <td>-0.263158</td>\n",
       "      <td>0.2090</td>\n",
       "      <td>-0.140000</td>\n",
       "      <td>0.055238</td>\n",
       "      <td>-1.007619</td>\n",
       "      <td>-0.841905</td>\n",
       "      <td>0.888824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usLEJU</th>\n",
       "      <td>-0.608</td>\n",
       "      <td>1.221429</td>\n",
       "      <td>-1.082857</td>\n",
       "      <td>0.463478</td>\n",
       "      <td>-0.153158</td>\n",
       "      <td>-0.828636</td>\n",
       "      <td>-0.1965</td>\n",
       "      <td>-0.328947</td>\n",
       "      <td>-0.699091</td>\n",
       "      <td>1.435714</td>\n",
       "      <td>...</td>\n",
       "      <td>1.236818</td>\n",
       "      <td>-0.9935</td>\n",
       "      <td>-0.084091</td>\n",
       "      <td>-1.817895</td>\n",
       "      <td>-0.4105</td>\n",
       "      <td>1.727727</td>\n",
       "      <td>-0.469048</td>\n",
       "      <td>0.062381</td>\n",
       "      <td>-0.150476</td>\n",
       "      <td>0.514118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usNTES</th>\n",
       "      <td>-0.124</td>\n",
       "      <td>0.229524</td>\n",
       "      <td>-0.121905</td>\n",
       "      <td>0.450435</td>\n",
       "      <td>0.586316</td>\n",
       "      <td>-0.270909</td>\n",
       "      <td>0.4915</td>\n",
       "      <td>-0.408421</td>\n",
       "      <td>0.254091</td>\n",
       "      <td>0.960000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.869545</td>\n",
       "      <td>0.7365</td>\n",
       "      <td>0.401364</td>\n",
       "      <td>-0.736842</td>\n",
       "      <td>-0.6265</td>\n",
       "      <td>0.315000</td>\n",
       "      <td>-0.079524</td>\n",
       "      <td>1.173810</td>\n",
       "      <td>0.529524</td>\n",
       "      <td>0.332941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usRENN</th>\n",
       "      <td>0.068</td>\n",
       "      <td>0.079048</td>\n",
       "      <td>0.165238</td>\n",
       "      <td>0.057391</td>\n",
       "      <td>-0.938947</td>\n",
       "      <td>-0.570000</td>\n",
       "      <td>0.1575</td>\n",
       "      <td>-0.011053</td>\n",
       "      <td>-0.266818</td>\n",
       "      <td>1.035238</td>\n",
       "      <td>...</td>\n",
       "      <td>0.718636</td>\n",
       "      <td>-0.2895</td>\n",
       "      <td>0.362273</td>\n",
       "      <td>-0.688947</td>\n",
       "      <td>-0.0755</td>\n",
       "      <td>0.213182</td>\n",
       "      <td>-0.160000</td>\n",
       "      <td>-1.414286</td>\n",
       "      <td>-1.039524</td>\n",
       "      <td>-0.067059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usSFUN</th>\n",
       "      <td>-1.218</td>\n",
       "      <td>0.123810</td>\n",
       "      <td>-0.660952</td>\n",
       "      <td>-0.059130</td>\n",
       "      <td>-0.432632</td>\n",
       "      <td>-0.690455</td>\n",
       "      <td>-0.8450</td>\n",
       "      <td>0.646316</td>\n",
       "      <td>-0.537273</td>\n",
       "      <td>1.622381</td>\n",
       "      <td>...</td>\n",
       "      <td>0.347727</td>\n",
       "      <td>-0.1975</td>\n",
       "      <td>0.483182</td>\n",
       "      <td>-1.040000</td>\n",
       "      <td>-0.2790</td>\n",
       "      <td>0.578182</td>\n",
       "      <td>-0.224286</td>\n",
       "      <td>-0.164762</td>\n",
       "      <td>-0.287143</td>\n",
       "      <td>-0.055882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usSINA</th>\n",
       "      <td>-0.412</td>\n",
       "      <td>-0.210476</td>\n",
       "      <td>-0.530000</td>\n",
       "      <td>0.000870</td>\n",
       "      <td>-0.387368</td>\n",
       "      <td>-0.052727</td>\n",
       "      <td>-0.1530</td>\n",
       "      <td>0.134737</td>\n",
       "      <td>-0.640909</td>\n",
       "      <td>1.554762</td>\n",
       "      <td>...</td>\n",
       "      <td>0.810909</td>\n",
       "      <td>0.3440</td>\n",
       "      <td>-0.086818</td>\n",
       "      <td>-0.340526</td>\n",
       "      <td>-0.3380</td>\n",
       "      <td>0.494091</td>\n",
       "      <td>0.284762</td>\n",
       "      <td>0.394762</td>\n",
       "      <td>-0.020476</td>\n",
       "      <td>0.374118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usSOHU</th>\n",
       "      <td>0.212</td>\n",
       "      <td>0.199524</td>\n",
       "      <td>-0.748571</td>\n",
       "      <td>-0.108261</td>\n",
       "      <td>0.230526</td>\n",
       "      <td>0.250455</td>\n",
       "      <td>0.3055</td>\n",
       "      <td>-0.309474</td>\n",
       "      <td>0.093636</td>\n",
       "      <td>1.075714</td>\n",
       "      <td>...</td>\n",
       "      <td>0.955455</td>\n",
       "      <td>-0.0095</td>\n",
       "      <td>0.622273</td>\n",
       "      <td>-0.628947</td>\n",
       "      <td>-0.6915</td>\n",
       "      <td>0.621818</td>\n",
       "      <td>-0.456667</td>\n",
       "      <td>-0.328571</td>\n",
       "      <td>-0.463810</td>\n",
       "      <td>0.178824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usWB</th>\n",
       "      <td>-0.028</td>\n",
       "      <td>0.115714</td>\n",
       "      <td>-0.193333</td>\n",
       "      <td>-0.015652</td>\n",
       "      <td>-0.139474</td>\n",
       "      <td>-1.010909</td>\n",
       "      <td>-0.6565</td>\n",
       "      <td>0.394737</td>\n",
       "      <td>-0.130909</td>\n",
       "      <td>1.323810</td>\n",
       "      <td>...</td>\n",
       "      <td>1.557273</td>\n",
       "      <td>0.7580</td>\n",
       "      <td>0.229091</td>\n",
       "      <td>-1.241579</td>\n",
       "      <td>-0.1955</td>\n",
       "      <td>1.061818</td>\n",
       "      <td>1.543333</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.405714</td>\n",
       "      <td>0.930000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usWUBA</th>\n",
       "      <td>-0.972</td>\n",
       "      <td>-0.735714</td>\n",
       "      <td>-0.474286</td>\n",
       "      <td>0.292609</td>\n",
       "      <td>1.151579</td>\n",
       "      <td>-0.666364</td>\n",
       "      <td>-0.3590</td>\n",
       "      <td>0.462632</td>\n",
       "      <td>1.127727</td>\n",
       "      <td>2.020476</td>\n",
       "      <td>...</td>\n",
       "      <td>0.524091</td>\n",
       "      <td>0.7095</td>\n",
       "      <td>0.445000</td>\n",
       "      <td>-0.813158</td>\n",
       "      <td>-0.1910</td>\n",
       "      <td>0.258182</td>\n",
       "      <td>-0.048571</td>\n",
       "      <td>-0.036667</td>\n",
       "      <td>-0.761429</td>\n",
       "      <td>0.561765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usYOKU</th>\n",
       "      <td>-0.758</td>\n",
       "      <td>0.247143</td>\n",
       "      <td>-0.460952</td>\n",
       "      <td>0.423043</td>\n",
       "      <td>-0.253684</td>\n",
       "      <td>-0.153636</td>\n",
       "      <td>-0.2825</td>\n",
       "      <td>-0.107368</td>\n",
       "      <td>-1.178182</td>\n",
       "      <td>2.054762</td>\n",
       "      <td>...</td>\n",
       "      <td>1.599545</td>\n",
       "      <td>0.5075</td>\n",
       "      <td>0.044545</td>\n",
       "      <td>0.018421</td>\n",
       "      <td>0.0265</td>\n",
       "      <td>0.018182</td>\n",
       "      <td>0.008571</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usZPIN</th>\n",
       "      <td>1.338</td>\n",
       "      <td>0.334762</td>\n",
       "      <td>-0.789524</td>\n",
       "      <td>0.315652</td>\n",
       "      <td>0.563684</td>\n",
       "      <td>0.078182</td>\n",
       "      <td>-0.0230</td>\n",
       "      <td>0.648947</td>\n",
       "      <td>-0.312273</td>\n",
       "      <td>-0.111429</td>\n",
       "      <td>...</td>\n",
       "      <td>0.759545</td>\n",
       "      <td>0.1520</td>\n",
       "      <td>-0.060455</td>\n",
       "      <td>0.263158</td>\n",
       "      <td>-0.1340</td>\n",
       "      <td>0.113182</td>\n",
       "      <td>-0.132857</td>\n",
       "      <td>0.034286</td>\n",
       "      <td>-0.302381</td>\n",
       "      <td>0.210588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        2014-07-31  2014-08-31  2014-09-30  2014-10-31  2014-11-30  \\\n",
       "usATHM       1.802    1.428095   -0.523333    1.049565   -0.979474   \n",
       "usBIDU       1.238   -0.028571    0.107143    0.420435    0.154211   \n",
       "usBITA      -0.704    2.402381   -0.498571    0.398696    0.618947   \n",
       "usDATE       1.298    0.090476    0.660476   -0.759130   -0.566316   \n",
       "usFENG      -0.082    0.160000   -0.456667    0.447391   -0.738421   \n",
       "usJOBS       0.638   -2.751429   -0.678571    0.118261    0.961053   \n",
       "usJRJC      -0.934    4.904762   -1.108095   -0.689565    1.502105   \n",
       "usKUTV      -0.166    1.202381   -0.802857   -0.044783   -0.264211   \n",
       "usKZ        -0.086   -0.080476   -0.934762   -0.368696    0.558947   \n",
       "usLEJU      -0.608    1.221429   -1.082857    0.463478   -0.153158   \n",
       "usNTES      -0.124    0.229524   -0.121905    0.450435    0.586316   \n",
       "usRENN       0.068    0.079048    0.165238    0.057391   -0.938947   \n",
       "usSFUN      -1.218    0.123810   -0.660952   -0.059130   -0.432632   \n",
       "usSINA      -0.412   -0.210476   -0.530000    0.000870   -0.387368   \n",
       "usSOHU       0.212    0.199524   -0.748571   -0.108261    0.230526   \n",
       "usWB        -0.028    0.115714   -0.193333   -0.015652   -0.139474   \n",
       "usWUBA      -0.972   -0.735714   -0.474286    0.292609    1.151579   \n",
       "usYOKU      -0.758    0.247143   -0.460952    0.423043   -0.253684   \n",
       "usZPIN       1.338    0.334762   -0.789524    0.315652    0.563684   \n",
       "\n",
       "        2014-12-31  2015-01-31  2015-02-28  2015-03-31  2015-04-30  \\\n",
       "usATHM   -0.734545     -0.0340    0.397368    0.720455    0.753810   \n",
       "usBIDU   -0.315000     -0.2105   -0.338421    0.115455   -0.158095   \n",
       "usBITA   -1.159545     -0.6525    0.344211   -0.853182    0.803333   \n",
       "usDATE   -0.020000     -0.2730    0.408947    0.305000    0.759048   \n",
       "usFENG   -0.270455     -0.3425   -0.222105   -1.112273    1.190952   \n",
       "usJOBS   -0.094545     -0.0745    0.070000   -0.410455    0.540476   \n",
       "usJRJC   -1.156818     -0.3010    0.755789   -0.993636    1.079524   \n",
       "usKUTV   -0.543182      0.9065   -0.356316    0.050909   -0.058571   \n",
       "usKZ     -0.790000     -0.0435   -0.288421    0.439091    1.087619   \n",
       "usLEJU   -0.828636     -0.1965   -0.328947   -0.699091    1.435714   \n",
       "usNTES   -0.270909      0.4915   -0.408421    0.254091    0.960000   \n",
       "usRENN   -0.570000      0.1575   -0.011053   -0.266818    1.035238   \n",
       "usSFUN   -0.690455     -0.8450    0.646316   -0.537273    1.622381   \n",
       "usSINA   -0.052727     -0.1530    0.134737   -0.640909    1.554762   \n",
       "usSOHU    0.250455      0.3055   -0.309474    0.093636    1.075714   \n",
       "usWB     -1.010909     -0.6565    0.394737   -0.130909    1.323810   \n",
       "usWUBA   -0.666364     -0.3590    0.462632    1.127727    2.020476   \n",
       "usYOKU   -0.153636     -0.2825   -0.107368   -1.178182    2.054762   \n",
       "usZPIN    0.078182     -0.0230    0.648947   -0.312273   -0.111429   \n",
       "\n",
       "           ...      2015-10-31  2015-11-30  2015-12-31  2016-01-31  \\\n",
       "usATHM     ...        0.515909     -0.8040    0.672273   -1.775263   \n",
       "usBIDU     ...        1.479091      0.7825   -0.632273   -0.726842   \n",
       "usBITA     ...        0.408182     -0.7630    0.286818   -2.127895   \n",
       "usDATE     ...        0.335455      0.2275    0.356364   -0.148947   \n",
       "usFENG     ...        0.480000      0.0800    0.993636   -1.473158   \n",
       "usJOBS     ...        0.977727     -0.2950   -0.329545   -0.264737   \n",
       "usJRJC     ...        0.775000      0.1725    2.122273   -0.763684   \n",
       "usKUTV     ...        0.646818      0.0685    1.391818   -0.880000   \n",
       "usKZ       ...        0.256818     -0.0405    0.413636   -0.263158   \n",
       "usLEJU     ...        1.236818     -0.9935   -0.084091   -1.817895   \n",
       "usNTES     ...        0.869545      0.7365    0.401364   -0.736842   \n",
       "usRENN     ...        0.718636     -0.2895    0.362273   -0.688947   \n",
       "usSFUN     ...        0.347727     -0.1975    0.483182   -1.040000   \n",
       "usSINA     ...        0.810909      0.3440   -0.086818   -0.340526   \n",
       "usSOHU     ...        0.955455     -0.0095    0.622273   -0.628947   \n",
       "usWB       ...        1.557273      0.7580    0.229091   -1.241579   \n",
       "usWUBA     ...        0.524091      0.7095    0.445000   -0.813158   \n",
       "usYOKU     ...        1.599545      0.5075    0.044545    0.018421   \n",
       "usZPIN     ...        0.759545      0.1520   -0.060455    0.263158   \n",
       "\n",
       "        2016-02-29  2016-03-31  2016-04-30  2016-05-31  2016-06-30  2016-07-31  \n",
       "usATHM      0.0170    0.650000    0.294286   -0.821429   -0.962381    0.297059  \n",
       "usBIDU      0.3725    0.450000    0.097143   -0.363810   -0.240476   -0.061765  \n",
       "usBITA      0.6550    0.890000    0.077619   -0.890952    1.760952    0.054118  \n",
       "usDATE      0.0145    0.117273    0.000476    0.520952    0.940000    0.940000  \n",
       "usFENG     -0.7970    0.843636   -0.478571    0.013810   -0.395714    0.282941  \n",
       "usJOBS      0.0235    0.560455   -0.180952    0.203333   -0.320952    0.395882  \n",
       "usJRJC      0.0205   -0.121818    0.523810   -0.833333    0.211429   -0.281176  \n",
       "usKUTV      0.9205    0.231818    0.737143   -0.077619    0.240952   -0.102353  \n",
       "usKZ        0.2090   -0.140000    0.055238   -1.007619   -0.841905    0.888824  \n",
       "usLEJU     -0.4105    1.727727   -0.469048    0.062381   -0.150476    0.514118  \n",
       "usNTES     -0.6265    0.315000   -0.079524    1.173810    0.529524    0.332941  \n",
       "usRENN     -0.0755    0.213182   -0.160000   -1.414286   -1.039524   -0.067059  \n",
       "usSFUN     -0.2790    0.578182   -0.224286   -0.164762   -0.287143   -0.055882  \n",
       "usSINA     -0.3380    0.494091    0.284762    0.394762   -0.020476    0.374118  \n",
       "usSOHU     -0.6915    0.621818   -0.456667   -0.328571   -0.463810    0.178824  \n",
       "usWB       -0.1955    1.061818    1.543333    0.460000    0.405714    0.930000  \n",
       "usWUBA     -0.1910    0.258182   -0.048571   -0.036667   -0.761429    0.561765  \n",
       "usYOKU      0.0265    0.018182    0.008571    0.000000    0.000000    0.000000  \n",
       "usZPIN     -0.1340    0.113182   -0.132857    0.034286   -0.302381    0.210588  \n",
       "\n",
       "[19 rows x 25 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "change_m = pdata_it['netChangeRatio'].dropna(axis=1, how='all')\n",
    "change_m = change_m.resample('M').mean().T\n",
    "change_m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 获取股票代码表"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "7995\n",
      "['usSNE' 'usIDU' 'usUCC' 'usAAOI' 'usHXL']\n",
      "['usPFSI' 'usTXN' 'usPWB' 'usVMBS' 'usFAN']\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Help on function market_train_test_split in module MarketSymbols:\n",
      "\n",
      "market_train_test_split(n_folds=10, shuffle=True)\n",
      "    分割市场训练机与测试机\n",
      "    :param n_folds:\n",
      "    :param shuffle:\n",
      "    :return:\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import MarketSymbols\n",
    "symbols = MarketSymbols.get_market_symbols()\n",
    "ZLog.info(len(symbols))\n",
    "# 随机获取n个默认是不放回的\n",
    "ZLog.info(MarketSymbols.choice_symbols(5))\n",
    "# 随机获取n个放回的\n",
    "ZLog.info(MarketSymbols.choice_symbols_with_replace(5))\n",
    "\n",
    "# 把市场分成训练集合与测试集合的操作\n",
    "help(MarketSymbols.market_train_test_split)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 其它"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. 数据底层源由百度，腾讯自选股，雪球财经，yhoo数据接口，先比较完善的是baidu接入的也是baidu接口，需要更换源可自行切换底层接口\n",
    "2. 底层数据接口存在源格式不统一问题，需要添加一个层级标准化数据接口与定义\n",
    "3. 类似代码表等接口同样存在不统一的问题，需要标准化\n",
    "4. 在多层数据统一的情况下可加入，多源数据校验机制，避免由于一个源的数据出现问题，发出错误的信号导致问题\n",
    "5. volume数据不可信的问题，验证了volume数据很不可靠，且很难校验准确性，导致策略中不敢使用volume，很严重"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "## 关于数据缓存"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "所有数据支持优先使用缓存，强制使用缓存，强制使用网络等模式设置,\n",
    "    \n",
    "    ZEnv.set_symbolpd_force(net, local)\n",
    "    ZENV.g_use_test_cache_data\n",
    "如果每天定时任务可以使用预加载所有数据，针对因子全市场回测很重要：\n",
    "\n",
    "    NetStockHelper.net_day_mul_thread_history\n",
    "    NetStockHelper.net_info_mul_thread"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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