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    "info": {
        "author": "bopo.wang",
        "author_email": "ibopo@126.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 2 - Pre-Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5"
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        "description": "\nPyAlgoTrade tushare module\n==============================\n\n.. image:: https://img.shields.io/pypi/v/pyalgotrade_tushare.svg\n        :target: https://pypi.python.org/pypi/pyalgotrade_tushare\n\n.. image:: https://img.shields.io/travis/bopo/pyalgotrade_tushare.svg\n        :target: https://travis-ci.org/bopo/pyalgotrade_tushare\n\n.. image:: https://readthedocs.org/projects/pyalgotrade_tushare/badge/?version=latest\n        :target: https://pyalgotrade_tushare.readthedocs.io/en/latest/?badge=latest\n        :alt: Documentation Status\n\n.. image:: https://pyup.io/repos/github/bopo/pyalgotrade_tushare/shield.svg\n     :target: https://pyup.io/repos/github/bopo/pyalgotrade_tushare/\n     :alt: Updates\n\n\n\n* \u5f00\u6e90\u534f\u8bae: MIT license\n* \u5728\u7ebf\u6587\u6863: https://pyalgotrade_tushare.readthedocs.io.\n\n\u5b89\u88c5\u65b9\u6cd5\n--------\n\n::\n\n\t# PIP \u81ea\u52a8\u5b89\u88c5\u65b9\u6cd5\n\tpip install pyalgotrade_tushare\n\n\t# \u624b\u52a8\u4e0b\u8f7d\u6e90\u7801\u5b89\u88c5\n\tgit clone https://github.com/bopo/pyalgotrade_tushare.git \n\tcd pyalgotrade_tushare\n\tpython setup.py install\n\n\n\u4f7f\u7528\u8bf4\u660e\n--------\n\n\u4e0d\u591a\u8bdd\uff0c\u7b80\u5355\u4e00\u4e2a\u4f8b\u5b50\n\n::\n\n\tfrom pyalgotrade import plotter, strategy\n\tfrom pyalgotrade.stratanalyzer import sharpe\n\tfrom pyalgotrade.technical import ma\n\n\tfrom pyalgotrade_tushare import tools\n\n\n\tclass MyStrategy(strategy.BacktestingStrategy):\n\t    def __init__(self, feed, instrument):\n\t        super().__init__(feed)\n\n\t        self.__position = None\n\t        self.__sma = ma.SMA(feed[instrument].getCloseDataSeries(), 150)\n\t        self.__instrument = instrument\n\t        self.getBroker()\n\n\t    def onEnterOk(self, position):\n\t        execInfo = position.getEntryOrder().getExecutionInfo()\n\t        self.info(\"\u4e70\u5165 %.2f\" % (execInfo.getPrice()))\n\n\t    def onEnterCanceled(self, position):\n\t        self.__position = None\n\n\t    def onExitOk(self, position):\n\t        execInfo = position.getExitOrder().getExecutionInfo()\n\t        self.info(\"\u5356\u51fa %.2f\" % (execInfo.getPrice()))\n\t        self.__position = None\n\n\t    def onExitCanceled(self, position):\n\t        # If the exit was canceled, re-submit it.\n\t        self.__position.exitMarket()\n\n\t    def getSMA(self):\n\t        return self.__sma\n\n\t    def onBars(self, bars):\n\t        # \u6bcf\u4e00\u4e2a\u6570\u636e\u90fd\u4f1a\u62b5\u8fbe\u8fd9\u91cc\uff0c\u5c31\u50cfbecktest\u4e2d\u7684next\n\t        # Wait for enough bars to be available to calculate a SMA.\n\t        if self.__sma[-1] is None:\n\t            return\n\n\t        # bar.getTyoicalPrice = (bar.getHigh() + bar.getLow() + bar.getClose())/ 3.0\n\t        bar = bars[self.__instrument]\n\n\t        # If a position was not opened, check if we should enter a long position.\n\t        if self.__position is None:\n\t            if bar.getPrice() > self.__sma[-1]:\n\t                # \u5f00\u591a\u5934.\n\t                self.__position = self.enterLong(self.__instrument, 100, True)\n\n\t        # \u5e73\u6389\u591a\u5934\u5934\u5bf8.\n\t        elif bar.getPrice() < self.__sma[-1] and not self.__position.exitActive():\n\t            self.__position.exitMarket()\n\n\n\tif __name__ == '__main__':\n\t    instruments = [\"600036\"]\n\n\t    feeds = tools.build_feed(instruments, 2013, 2018, \"histdata\")\n\n\t    # 3.\u5b9e\u4f8b\u5316\u7b56\u7565\n\t    strat = MyStrategy(feeds, instruments[0])\n\n\t    # 4.\u8bbe\u7f6e\u6307\u6807\u548c\u7ed8\u56fe\n\t    ratio = sharpe.SharpeRatio()\n\t    strat.attachAnalyzer(ratio)\n\t    plter = plotter.StrategyPlotter(strat)\n\n\t    # 5.\u8fd0\u884c\u7b56\u7565\n\t    strat.run()\n\t    strat.info(\"\u6700\u7ec8\u6536\u76ca: %.2f\" % strat.getResult())\n\n\t    # 6.\u8f93\u51fa\u590f\u666e\u7387\u3001\u7ed8\u56fe\n\t    strat.info(\"\u590f\u666e\u6bd4\u7387: \" + str(ratio.getSharpeRatio(0)))\n\t    plter.plot()\n\n\n\n\n\u7248\u672c\u66f4\u65b0\n--------\n* \u4fee\u6539\u4e86 PIP \u5b89\u88c5\u7a0b\u5e8f\u95ee\u9898\n* \u672c\u7a0b\u5e8f\u53ea\u652f\u6301 python3.\n\n\u8d21\u732e\u540d\u5355\n---------\n\n- bopo.wang\n\n\n\n",
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