Home

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.

Features

• Great performance compared to mpl_finance, plotly, and Bokeh
• Clean api
• Works with both stocks as well as for 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 the 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.

What it is not

finplot is not a web app. It does not help you create a 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.

Easy installation

$ pip install finplot

Examples

See examples page.

Snippets

See snippets page.

Documentation

See API or settings pages.

Tutorials

See the intro tutorial.

Screenshots

Coffee

For future support and features, consider a small donation.

BTC: bc1qk8m8yh86l2pz4eypflchr0tkn5aeud6cmt426m

ETH: 0x684d7d4C52ed428AE9a36B2407ba909D896cDB67