{
    "info": {
        "author": "Shuangxi Zhang",
        "author_email": "shuangxipop@163.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Build Tools"
        ],
        "description": "* Ivystock\nIvystock\n\n* Installation\npip install Ivystock\n\n* Help\n    Hongkong\n    code='0336.HK'\n    Shenzhen\n    code='000969.SZ'\n    Shanghai\n    code='600011.SS'\n    Shangzheng Index\n    code='000001.SS'\n    HK index\n    code='^HSI'\n    USA stock\n    code='AAPL'\n    \n* Sample    \n    \n    from ivystock import ivystock as ivy\n\n    if __name__ == '__main__':\n        code = '0336.HK'\n        stock = ivy.Ivystock()\n       # SS.begin = SS.datetime_timestamp(\"2018-1-1 09:00:00\")\n        #stock.help()\n        #stock.get(code)\n        #stock.plot(code)\n\n     #   hl50 = r\"http://www.csindex.com.cn/uploads/file/autofile/cons/000015cons.xls\"\n       # hs300 = r\"http://www.csindex.com.cn/uploads/file/autofile/closeweight/000300closeweight.xls\"\n\n        #aa = stock.get_code(hs300)\n        \n        #dd = stock.get_code('hl50')\n        #stock.get_list(dd)\n        #stock.preprocess(dd,['Date','Close'])\n\n        #futurelist = ['TA0','RS0','RM0']\n        code = 'A0'\n        #stock.get_future(futurelist)\n        tick = stock.get_dick(code, '5m')\n        tick1m = stock.get_1m(code)",
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        "keywords": "",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "Ivystock",
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        "requires_dist": null,
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        "summary": "This package can very easily and friendly download China market and USA market and any stock data from yahoo HK and future data from Sina, then analyze the data.",
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