Performant and effortless finance plotting for Python
Finance Plotter, or finplot, is a performant library with a clean api to help you with your backtesting. It's optionated with good defaults, so you can start doing your work without having to setup plots, colors, scales, autoscaling, keybindings, handle panning+vertical zooming (which all non-finance libraries have problems with). And best of all: it can show hundreds of thousands of datapoints without batting an eye.
finplot is not a web app. It does not help you create an homebrew exchange. It does not work with Jupyter Labs.
It is only intended for you to do backtesting in. That is not to say that you can't create a ticker or a trade widget yourself. The library is based on the eminent pyqtgraph, which is fast and flexible, so feel free to hack away if that's what you want.
$ pip install finplot
It's straight-forward to start using. This shows every daily candle of Apple since the 80'ies:
import finplot as fplt import yfinance
df = yfinance.download('AAPL') fplt.candlestick_ochl(df[['Open', 'Close', 'High', 'Low']]) fplt.show()
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