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        "author": "Beraldo Leal",
        "author_email": "beraldo@beraloleal.com",
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            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
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            "Programming Language :: Python :: 3.2",
            "Topic :: Internet",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "=========\npybovespa\n=========\n\nThe BM&FBOVESPA (in full, Bolsa de Valores, Mercadorias & Futuros de S\u00e3o Paulo) is a stock exchange located at S\u00e3o Paulo, Brazil.\n\npybovespa is a basic and simple library to get official BM&FBOVESPA stock values.\n\n======================\nInstalling or updating\n======================\n\nJust run::\n\n    # pip install -U pybovespa\n\n================================\nShow-me an example, I need code!\n================================\n\n15-minute delayed info\n----------------------\n\nWhen you make a request, 15-minute-old information is retrieved. You can check the date and time with ``stock.time``. Example::\n\n    #!/usr/bin/env python3\n\n    from pybovespa.bovespa import *\n    from pybovespa.stock import *\n\n    bovespa = Bovespa()\n    stock = bovespa.query(\"PETR3\")\n    print(stock.cod, stock.name, stock.last)\n\nThe output should be something like this::\n\n    PETR3 PETROBRAS ON 24,24\n\nIt is possible to make only one request for many stocks::\n\n    stocks = bovespa.query(\"PETR4\", \"VALE5\", \"OGXP3\")\n    for stock in stocks.values():\n        print(stock.cod, stock.last)\n\n    stock_vale = stocks[\"VALE5\"]\n\nHistorical stock data\n---------------------\n\nUnfortunately, BM&FBovespa does not allow the distribution of their data. However, it is very simple to download them using this library::\n\n    bovespa = Bovespa()\n    bovespa.download(dst=\"/tmp/hist\", year=\"2012\", overwrite=True)\n\nTo download data of all available years::\n\n    bovespa.download_all(dst=\"/tmp/hist\", overwrite=True)",
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        "name": "pybovespa",
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