FinTA (Financial Technical Analysis) Common financial technical indicators implemented in Pandas. This is work in progress, bugs are expected and results of some indicators may not be accurate. Supported indicators: Finta supports over 80 trading indicators: Dependencies: - python (3.6+) - pandas (1.0.0+) TA class is very well documented and there should be no trouble exploring it and using with your data. Each class method expects proper ohlc DataFrame as input. Install: pip install finta or latest development version: pip install git+git://github.com/peerchemist/finta.git Import from finta import TA Prepare data to use with finta: finta expects properly formated ohlc DataFrame, with column names in lowercase: ["open", "high", "low", "close"] and ["volume"] for indicators that expect ohlcv input. to resample by time period (you can choose different time period) ohlc = resample(df, "24h") You can also load a ohlc DataFrame from .csv file datafile = ("data/bittrex:btc-usdt.csv") ohlc = pd.readcsv(datafile, indexcol="date", parsedates=True) Examples: will return Pandas Series object wi

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