Description
Quant research means rewriting MACD, Bollinger Bands and RSI by hand and getting edge cases wrong. ta is a Python library on Pandas and Numpy with 43 built-in technical analysis indicators computed from open, high, low, close and volume.
Indicators cover volume, volatility, trend and momentum, and you can add all of them to a DataFrame at once for feature engineering and backtests.
43 indicators:MFI, OBV, Bollinger Bands, MACD, RSI and more.
Four families:Volume, volatility, trend and momentum.
All features at once:Add every indicator column in one call.
Indicators cover volume, volatility, trend and momentum, and you can add all of them to a DataFrame at once for feature engineering and backtests.
Features
43 indicators:MFI, OBV, Bollinger Bands, MACD, RSI and more.
Four families:Volume, volatility, trend and momentum.
All features at once:Add every indicator column in one call.
