{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# IPython 与 RQAlpha"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 加载 RQAlpha magic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The rqalpha extension is already loaded. To reload it, use:\n",
      "  %reload_ext rqalpha\n"
     ]
    }
   ],
   "source": [
    "%load_ext rqalpha"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 查看 RQAlpha magic 帮助\n",
    "\n",
    "我们可以通过 `%%rqalpha` 直接在 `cell` 中运行回测代码。 `%%rqalpha` 后面的参数等价于在 CLI 中后面的 `rqalpha run` 的参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Usage: ipykernel_launcher.py [OPTIONS]\n",
      "\n",
      "  Start to run a strategy\n",
      "\n",
      "Options:\n",
      "  -h, --help                      Show this message and exit.\n",
      "  -d, --data-bundle-path PATH\n",
      "  -f, --strategy-file PATH\n",
      "  -s, --start-date DATE\n",
      "  -e, --end-date DATE\n",
      "  -bm, --benchmark TEXT\n",
      "  -mm, --margin-multiplier FLOAT\n",
      "  -a, --account TEXT...           set account type with starting cash\n",
      "  -fq, --frequency [1d|1m|tick]\n",
      "  -rt, --run-type [b|p]\n",
      "  --resume\n",
      "  --source-code TEXT\n",
      "  -l, --log-level [verbose|debug|info|error|none]\n",
      "  --disable-user-system-log       disable user system log stdout\n",
      "  --disable-user-log              disable user log stdout\n",
      "  --locale [cn|en]\n",
      "  --extra-vars TEXT               override context vars\n",
      "  --enable-profiler               add line profiler to profile your strategy\n",
      "  --config TEXT                   config file path\n",
      "  -mc, --mod-config TEXT...       mod extra config\n",
      "  --stock-t1 / --no-stock-t1      [sys_accounts] enable/disable stock T+1\n",
      "  --report PATH                   [sys_analyser] save report\n",
      "  -o, --output-file PATH          [sys_analyser] output result pickle file\n",
      "  -p, --plot / --no-plot          [sys_analyser] plot result\n",
      "  --plot-save TEXT                [sys_analyser] save plot to file\n",
      "  --progress                      [sys_progress]show progress bar\n",
      "  --no-short-stock / --short-stock\n",
      "                                  [sys_risk] enable stock shorting\n",
      "  --signal                        [sys_simulation] exclude match engine\n",
      "  -sp, --slippage FLOAT           [sys_simulation] set slippage\n",
      "  -cm, --commission-multiplier FLOAT\n",
      "                                  [sys_simulation] set commission multiplier\n",
      "  -me, --match-engine [current_bar|next_bar|last|best_own|best_counterparty]\n",
      "                                  [Deprecated][sys_simulation] set matching\n",
      "                                  type\n",
      "  -mt, --matching-type [current_bar|next_bar|last|best_own|best_counterparty]\n",
      "                                  [sys_simulation] set matching type\n"
     ]
    }
   ],
   "source": [
    "%%rqalpha -h\n",
    "\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用 %%rqalpha 进行回测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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yOevNXrIk2UuWxH/fXm2cPiyMyMBA9OFhlO0/IOHMUt5S1IIFC5gwYQItW7bUhs2ePZuN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\nRERERCSsaLJCRERERERERMLK/wFwj3OseyWmbAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a100d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%rqalpha -s 20100101 -e 20170505 -p -bm 000001.XSHG --account stock 100000\n",
    "\n",
    "def init(context):\n",
    "    context.stocks = ['000300.XSHG', '000905.XSHG', '000012.XSHG']\n",
    "\n",
    "    \n",
    "def handle_bar(context, bar_dict):\n",
    "    [hs, zz, gz] = context.stocks\n",
    "    hs_history20 = history_bars(hs, 20, '1d', 'close')\n",
    "    zz_history20 = history_bars(zz, 20, '1d', 'close')\n",
    "    \n",
    "    hsIncrease = hs_history20[-1] - hs_history20[0]\n",
    "    zzIncrease = zz_history20[-1] - zz_history20[0]\n",
    "    \n",
    "    positions = context.portfolio.positions\n",
    "    [hsQuality, zzQuality, gzQuality] = [positions[hs].quantity, positions[zz].quantity, positions[gz].quantity]\n",
    "    if hsIncrease < 0 and zzIncrease < 0:\n",
    "        if hsQuality > 0: order_target_percent(hs, 0)\n",
    "        if zzQuality > 0: order_target_percent(zz, 0)\n",
    "        order_target_percent(gz, 1)\n",
    "    elif hsIncrease < zzIncrease:\n",
    "        if hsQuality > 0: order_target_percent(hs, 0)\n",
    "        if gzQuality > 0: order_target_percent(gz, 0)\n",
    "        order_target_percent(zz, 1)\n",
    "    else:\n",
    "        if zzQuality > 0: order_target_percent(zz, 0)\n",
    "        if gzQuality > 0: order_target_percent(gz, 0)\n",
    "        order_target_percent(hs, 1)\n",
    "        #logger.info(\"positions hs300: \" + str(hsQuality) + \", zz500: \" + str(zzQuality) + \", gz: \" + str(gzQuality))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 获取回测报告\n",
    "\n",
    "运行完回测后，报告会自动存储到 `report` 变量中。可以直接通过 `report` 变量获取当次回测的结果。\n",
    "\n",
    "另外 rqalpha 的 mod 的输出会自动存储在 `results` 变量中。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['sys_analyser'])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['summary', 'trades', 'portfolio', 'benchmark_portfolio', 'stock_account', 'stock_positions'])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>commission</th>\n",
       "      <th>exec_id</th>\n",
       "      <th>last_price</th>\n",
       "      <th>last_quantity</th>\n",
       "      <th>order_book_id</th>\n",
       "      <th>order_id</th>\n",
       "      <th>position_effect</th>\n",
       "      <th>side</th>\n",
       "      <th>symbol</th>\n",
       "      <th>tax</th>\n",
       "      <th>trading_datetime</th>\n",
       "      <th>transaction_cost</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04 15:00:00</th>\n",
       "      <td>79.961424</td>\n",
       "      <td>1498453688</td>\n",
       "      <td>122.34</td>\n",
       "      <td>817</td>\n",
       "      <td>000012.XSHG</td>\n",
       "      <td>1498453672</td>\n",
       "      <td>None</td>\n",
       "      <td>BUY</td>\n",
       "      <td>国债指数</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-04 15:00:00</td>\n",
       "      <td>79.961424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06 15:00:00</th>\n",
       "      <td>79.948352</td>\n",
       "      <td>1498453689</td>\n",
       "      <td>122.32</td>\n",
       "      <td>817</td>\n",
       "      <td>000012.XSHG</td>\n",
       "      <td>1498453673</td>\n",
       "      <td>None</td>\n",
       "      <td>SELL</td>\n",
       "      <td>国债指数</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-06 15:00:00</td>\n",
       "      <td>79.948352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06 15:00:00</th>\n",
       "      <td>76.444704</td>\n",
       "      <td>1498453690</td>\n",
       "      <td>4550.28</td>\n",
       "      <td>21</td>\n",
       "      <td>000905.XSHG</td>\n",
       "      <td>1498453674</td>\n",
       "      <td>None</td>\n",
       "      <td>BUY</td>\n",
       "      <td>中证500(沪)</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-06 15:00:00</td>\n",
       "      <td>76.444704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07 15:00:00</th>\n",
       "      <td>74.913888</td>\n",
       "      <td>1498453691</td>\n",
       "      <td>4459.16</td>\n",
       "      <td>21</td>\n",
       "      <td>000905.XSHG</td>\n",
       "      <td>1498453675</td>\n",
       "      <td>None</td>\n",
       "      <td>SELL</td>\n",
       "      <td>中证500(沪)</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-07 15:00:00</td>\n",
       "      <td>74.913888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07 15:00:00</th>\n",
       "      <td>78.180552</td>\n",
       "      <td>1498453692</td>\n",
       "      <td>122.31</td>\n",
       "      <td>799</td>\n",
       "      <td>000012.XSHG</td>\n",
       "      <td>1498453676</td>\n",
       "      <td>None</td>\n",
       "      <td>BUY</td>\n",
       "      <td>国债指数</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-07 15:00:00</td>\n",
       "      <td>78.180552</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     commission     exec_id  last_price  last_quantity  \\\n",
       "datetime                                                                 \n",
       "2010-01-04 15:00:00   79.961424  1498453688      122.34            817   \n",
       "2010-01-06 15:00:00   79.948352  1498453689      122.32            817   \n",
       "2010-01-06 15:00:00   76.444704  1498453690     4550.28             21   \n",
       "2010-01-07 15:00:00   74.913888  1498453691     4459.16             21   \n",
       "2010-01-07 15:00:00   78.180552  1498453692      122.31            799   \n",
       "\n",
       "                    order_book_id    order_id position_effect  side    symbol  \\\n",
       "datetime                                                                        \n",
       "2010-01-04 15:00:00   000012.XSHG  1498453672            None   BUY      国债指数   \n",
       "2010-01-06 15:00:00   000012.XSHG  1498453673            None  SELL      国债指数   \n",
       "2010-01-06 15:00:00   000905.XSHG  1498453674            None   BUY  中证500(沪)   \n",
       "2010-01-07 15:00:00   000905.XSHG  1498453675            None  SELL  中证500(沪)   \n",
       "2010-01-07 15:00:00   000012.XSHG  1498453676            None   BUY      国债指数   \n",
       "\n",
       "                     tax     trading_datetime  transaction_cost  \n",
       "datetime                                                         \n",
       "2010-01-04 15:00:00    0  2010-01-04 15:00:00         79.961424  \n",
       "2010-01-06 15:00:00    0  2010-01-06 15:00:00         79.948352  \n",
       "2010-01-06 15:00:00    0  2010-01-06 15:00:00         76.444704  \n",
       "2010-01-07 15:00:00    0  2010-01-07 15:00:00         74.913888  \n",
       "2010-01-07 15:00:00    0  2010-01-07 15:00:00         78.180552  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report.trades[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cash</th>\n",
       "      <th>market_value</th>\n",
       "      <th>static_unit_net_value</th>\n",
       "      <th>total_value</th>\n",
       "      <th>unit_net_value</th>\n",
       "      <th>units</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>-31.741</td>\n",
       "      <td>99951.78</td>\n",
       "      <td>1.000</td>\n",
       "      <td>99920.039</td>\n",
       "      <td>0.999200</td>\n",
       "      <td>100000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>-31.741</td>\n",
       "      <td>99902.76</td>\n",
       "      <td>0.999</td>\n",
       "      <td>99871.019</td>\n",
       "      <td>0.998710</td>\n",
       "      <td>100000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>4191.426</td>\n",
       "      <td>95555.88</td>\n",
       "      <td>0.999</td>\n",
       "      <td>99747.306</td>\n",
       "      <td>0.997473</td>\n",
       "      <td>100000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>-44.999</td>\n",
       "      <td>97725.69</td>\n",
       "      <td>0.997</td>\n",
       "      <td>97680.691</td>\n",
       "      <td>0.976807</td>\n",
       "      <td>100000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-08</th>\n",
       "      <td>-44.999</td>\n",
       "      <td>97733.68</td>\n",
       "      <td>0.977</td>\n",
       "      <td>97688.681</td>\n",
       "      <td>0.976887</td>\n",
       "      <td>100000.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                cash  market_value  static_unit_net_value  total_value  \\\n",
       "date                                                                     \n",
       "2010-01-04   -31.741      99951.78                  1.000    99920.039   \n",
       "2010-01-05   -31.741      99902.76                  0.999    99871.019   \n",
       "2010-01-06  4191.426      95555.88                  0.999    99747.306   \n",
       "2010-01-07   -44.999      97725.69                  0.997    97680.691   \n",
       "2010-01-08   -44.999      97733.68                  0.977    97688.681   \n",
       "\n",
       "            unit_net_value     units  \n",
       "date                                  \n",
       "2010-01-04        0.999200  100000.0  \n",
       "2010-01-05        0.998710  100000.0  \n",
       "2010-01-06        0.997473  100000.0  \n",
       "2010-01-07        0.976807  100000.0  \n",
       "2010-01-08        0.976887  100000.0  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report.portfolio[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>avg_price</th>\n",
       "      <th>last_price</th>\n",
       "      <th>market_value</th>\n",
       "      <th>order_book_id</th>\n",
       "      <th>quantity</th>\n",
       "      <th>symbol</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04</th>\n",
       "      <td>122.34</td>\n",
       "      <td>122.34</td>\n",
       "      <td>99951.78</td>\n",
       "      <td>000012.XSHG</td>\n",
       "      <td>817</td>\n",
       "      <td>国债指数</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-05</th>\n",
       "      <td>122.34</td>\n",
       "      <td>122.28</td>\n",
       "      <td>99902.76</td>\n",
       "      <td>000012.XSHG</td>\n",
       "      <td>817</td>\n",
       "      <td>国债指数</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>122.34</td>\n",
       "      <td>122.32</td>\n",
       "      <td>0.00</td>\n",
       "      <td>000012.XSHG</td>\n",
       "      <td>0</td>\n",
       "      <td>国债指数</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06</th>\n",
       "      <td>4550.28</td>\n",
       "      <td>4550.28</td>\n",
       "      <td>95555.88</td>\n",
       "      <td>000905.XSHG</td>\n",
       "      <td>21</td>\n",
       "      <td>中证500(沪)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07</th>\n",
       "      <td>4550.28</td>\n",
       "      <td>4459.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>000905.XSHG</td>\n",
       "      <td>0</td>\n",
       "      <td>中证500(沪)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            avg_price  last_price  market_value order_book_id  quantity  \\\n",
       "date                                                                      \n",
       "2010-01-04     122.34      122.34      99951.78   000012.XSHG       817   \n",
       "2010-01-05     122.34      122.28      99902.76   000012.XSHG       817   \n",
       "2010-01-06     122.34      122.32          0.00   000012.XSHG         0   \n",
       "2010-01-06    4550.28     4550.28      95555.88   000905.XSHG        21   \n",
       "2010-01-07    4550.28     4459.16          0.00   000905.XSHG         0   \n",
       "\n",
       "              symbol  \n",
       "date                  \n",
       "2010-01-04      国债指数  \n",
       "2010-01-05      国债指数  \n",
       "2010-01-06      国债指数  \n",
       "2010-01-06  中证500(沪)  \n",
       "2010-01-07  中证500(沪)  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report.stock_positions[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用 run_func 运行回测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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d/fr1+eqrr7Tfa9eu5euvvwbAw8ODgIAA2rRpw/jx499XEsUbet112NraGldX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\nRERERCSsaLJCRERERERERMLK/wFwj3OseyWmbAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11a218c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "config = {\n",
    "  \"base\": {\n",
    "    \"start_date\": \"2010-01-01\",\n",
    "    \"end_date\": \"2017-05-05\",\n",
    "    \"benchmark\": \"000001.XSHG\",\n",
    "    \"accounts\": {\n",
    "        \"stock\": 100000\n",
    "    }\n",
    "  },\n",
    "  \"extra\": {\n",
    "    \"log_level\": \"info\",\n",
    "  },\n",
    "  \"mod\": {\n",
    "    \"sys_analyser\": {\n",
    "      \"enabled\": True,\n",
    "      \"plot\": True,\n",
    "    },\n",
    "  }\n",
    "}\n",
    "\n",
    "\n",
    "from rqalpha.api import *\n",
    "from rqalpha import run_func\n",
    "\n",
    "\n",
    "def init(context):\n",
    "    context.stocks = ['000300.XSHG', '000905.XSHG', '000012.XSHG']\n",
    "\n",
    "    \n",
    "def handle_bar(context, bar_dict):\n",
    "    [hs, zz, gz] = context.stocks\n",
    "    hs_history20 = history_bars(hs, 20, '1d', 'close')\n",
    "    zz_history20 = history_bars(zz, 20, '1d', 'close')\n",
    "    \n",
    "    hsIncrease = hs_history20[-1] - hs_history20[0]\n",
    "    zzIncrease = zz_history20[-1] - zz_history20[0]\n",
    "    \n",
    "    positions = context.portfolio.positions\n",
    "    [hsQuality, zzQuality, gzQuality] = [positions[hs].quantity, positions[zz].quantity, positions[gz].quantity]\n",
    "    if hsIncrease < 0 and zzIncrease < 0:\n",
    "        if hsQuality > 0: order_target_percent(hs, 0)\n",
    "        if zzQuality > 0: order_target_percent(zz, 0)\n",
    "        order_target_percent(gz, 1)\n",
    "    elif hsIncrease < zzIncrease:\n",
    "        if hsQuality > 0: order_target_percent(hs, 0)\n",
    "        if gzQuality > 0: order_target_percent(gz, 0)\n",
    "        order_target_percent(zz, 1)\n",
    "    else:\n",
    "        if zzQuality > 0: order_target_percent(zz, 0)\n",
    "        if gzQuality > 0: order_target_percent(gz, 0)\n",
    "        order_target_percent(hs, 1)\n",
    "        \n",
    "        \n",
    "results = run_func(init=init, handle_bar=handle_bar, config=config)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "report = results[\"sys_analyser\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>commission</th>\n",
       "      <th>exec_id</th>\n",
       "      <th>last_price</th>\n",
       "      <th>last_quantity</th>\n",
       "      <th>order_book_id</th>\n",
       "      <th>order_id</th>\n",
       "      <th>position_effect</th>\n",
       "      <th>side</th>\n",
       "      <th>symbol</th>\n",
       "      <th>tax</th>\n",
       "      <th>trading_datetime</th>\n",
       "      <th>transaction_cost</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2010-01-04 15:00:00</th>\n",
       "      <td>79.961424</td>\n",
       "      <td>1498454089</td>\n",
       "      <td>122.34</td>\n",
       "      <td>817</td>\n",
       "      <td>000012.XSHG</td>\n",
       "      <td>1498454073</td>\n",
       "      <td>None</td>\n",
       "      <td>BUY</td>\n",
       "      <td>国债指数</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-04 15:00:00</td>\n",
       "      <td>79.961424</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06 15:00:00</th>\n",
       "      <td>79.948352</td>\n",
       "      <td>1498454090</td>\n",
       "      <td>122.32</td>\n",
       "      <td>817</td>\n",
       "      <td>000012.XSHG</td>\n",
       "      <td>1498454074</td>\n",
       "      <td>None</td>\n",
       "      <td>SELL</td>\n",
       "      <td>国债指数</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-06 15:00:00</td>\n",
       "      <td>79.948352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-06 15:00:00</th>\n",
       "      <td>76.444704</td>\n",
       "      <td>1498454091</td>\n",
       "      <td>4550.28</td>\n",
       "      <td>21</td>\n",
       "      <td>000905.XSHG</td>\n",
       "      <td>1498454075</td>\n",
       "      <td>None</td>\n",
       "      <td>BUY</td>\n",
       "      <td>中证500(沪)</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-06 15:00:00</td>\n",
       "      <td>76.444704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07 15:00:00</th>\n",
       "      <td>74.913888</td>\n",
       "      <td>1498454092</td>\n",
       "      <td>4459.16</td>\n",
       "      <td>21</td>\n",
       "      <td>000905.XSHG</td>\n",
       "      <td>1498454076</td>\n",
       "      <td>None</td>\n",
       "      <td>SELL</td>\n",
       "      <td>中证500(沪)</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-07 15:00:00</td>\n",
       "      <td>74.913888</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2010-01-07 15:00:00</th>\n",
       "      <td>78.180552</td>\n",
       "      <td>1498454093</td>\n",
       "      <td>122.31</td>\n",
       "      <td>799</td>\n",
       "      <td>000012.XSHG</td>\n",
       "      <td>1498454077</td>\n",
       "      <td>None</td>\n",
       "      <td>BUY</td>\n",
       "      <td>国债指数</td>\n",
       "      <td>0</td>\n",
       "      <td>2010-01-07 15:00:00</td>\n",
       "      <td>78.180552</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     commission     exec_id  last_price  last_quantity  \\\n",
       "datetime                                                                 \n",
       "2010-01-04 15:00:00   79.961424  1498454089      122.34            817   \n",
       "2010-01-06 15:00:00   79.948352  1498454090      122.32            817   \n",
       "2010-01-06 15:00:00   76.444704  1498454091     4550.28             21   \n",
       "2010-01-07 15:00:00   74.913888  1498454092     4459.16             21   \n",
       "2010-01-07 15:00:00   78.180552  1498454093      122.31            799   \n",
       "\n",
       "                    order_book_id    order_id position_effect  side    symbol  \\\n",
       "datetime                                                                        \n",
       "2010-01-04 15:00:00   000012.XSHG  1498454073            None   BUY      国债指数   \n",
       "2010-01-06 15:00:00   000012.XSHG  1498454074            None  SELL      国债指数   \n",
       "2010-01-06 15:00:00   000905.XSHG  1498454075            None   BUY  中证500(沪)   \n",
       "2010-01-07 15:00:00   000905.XSHG  1498454076            None  SELL  中证500(沪)   \n",
       "2010-01-07 15:00:00   000012.XSHG  1498454077            None   BUY      国债指数   \n",
       "\n",
       "                     tax     trading_datetime  transaction_cost  \n",
       "datetime                                                         \n",
       "2010-01-04 15:00:00    0  2010-01-04 15:00:00         79.961424  \n",
       "2010-01-06 15:00:00    0  2010-01-06 15:00:00         79.948352  \n",
       "2010-01-06 15:00:00    0  2010-01-06 15:00:00         76.444704  \n",
       "2010-01-07 15:00:00    0  2010-01-07 15:00:00         74.913888  \n",
       "2010-01-07 15:00:00    0  2010-01-07 15:00:00         78.180552  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "report[\"trades\"][:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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