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Yahoo! Finance market data downloader (+faster Pandas Datareader)

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Yahoo! Finance market data downloader

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Ever since Yahoo! finance <https://finance.yahoo.com>_ decommissioned their historical data API, many programs that relied on it to stop working.

yfinance_ez aimes to solve this problem by offering a reliable and Pythonic way to download historical market data from Yahoo! finance.

Note from Ezra:

This library was originally created by Ran Aroussi and named yfinance. I encountered some bugs using it and wasn't able to reach him about updating his package, so I've renamed it for now to yfinance-ez so I can work on it. I've done some significant restructuring and added improved documentation, but the credit for much of the html parsing code is not mine. I've also pared down the package to focus just on the Ticker class and its functionality which I've gotten working.

Quick Start

The Ticker module

The Ticker module, which allows you to access ticker data in amore Pythonic way:

    import yfinance_ez as yf

    msft = yf.Ticker("MSFT")

    # get stock info
    msft.info

    # get historical market data for the last quarter
    # This method also accepts start and end dates and/or time intervals
    # so you can customize what you're looking for.
    hist = msft.get_history(period=yf.TimePeriods.Quarter)

    # show actions (dividends, splits) for the last retrieved historical period
    msft.actions

    # show dividends for the last retrieved historical period
    msft.dividends

    # show splits for the last retrieved historical period
    msft.splits

    # show financials
    msft.financials
    msft.quarterly_financials

    # show major holders
    msft.major_holders

    # show institutional holders
    msft.institutional_holders

    # show balance heet
    msft.balance_sheet
    msft.quarterly_balance_sheet

    # show cashflow
    msft.cashflow
    msft.quarterly_cashflow

    # show earnings
    msft.earnings
    msft.quarterly_earnings

    # show sustainability
    msft.sustainability

    # show analysts recommendations
    msft.recommendations

    # show next event (earnings, etc)
    msft.calendar

    # get option chain for specific expiration
    opt = msft.option_chain('YYYY-MM-DD')
    # data available via: opt.calls, opt.puts

If you want to use a proxy server for downloading data, use:

    import yfinance_ez as yf

    msft = yf.Ticker("MSFT", proxy="PROXY_SERVER")

If you want to get history data for multiple tickers using async, use:

    import yfinance_ez as yf

    async def get_history_multiple_tickers(ticker_symbols: List[str],
                                           **kwargs) -> List[yf.Ticker]:

    tickers = [yf.Ticker(ticker_symbol) for ticker_symbol in ticker_symbols]

    await asyncio.gather(
        *[ticker.get_history_async(**kwargs) for ticker in tickers])

    return tickers

Installation

Install yfinance_ez using pip:

    $ pip install yfinance_ez

Requirements

  • Python <https://www.python.org>_ >= 3.5+
  • Pandas <https://github.com/pydata/pandas>_ (tested to work with >=0.23.1)
  • Numpy <http://www.numpy.org>_ >= 1.11.1
  • requests <http://docs.python-requests.org/en/master/>_ >= 2.14.2

Legal Stuff

yfinance_ez is distributed under the Apache Software License. See the LICENSE.txt <./LICENSE.txt>_ file in the release for details.

P.S.

Please drop me an note with any feedback you have.

Ezra Schiff

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Yahoo! Finance market data downloader (+faster Pandas Datareader)

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