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.
- Great performance compared to mpl_finance, plotly and Bokeh
- Clean api
- Works with both stocks as well as cryptocurrencies on any time resolution
- Show as many charts as you want on the same time axis, zoom on all of them at once
- Auto-reload position where you were looking last run
- Overlays, fill between, value bands, symbols, labels, legend, volume profile, heatmaps, etc.
- Can show real-time updates, including orderbook. Save screenshot.
- Comes with a dozen great examples.
$ pip install quantlplot