Home / Backtesting & trading frameworks

fast-trade

Backtesting & trading frameworks★ 601 GitHub starsPython⏱ Last commit 11 days ago

Portable, performance-focused Python backtesting library

What it is

A Python backtesting library designed with portability and performance in mind. Strategies are described in a way that can be moved between environments and run quickly, which suits fast iteration on trading ideas. Quant developers and researchers who test many variations of simple strategies are the natural audience. It covers the core backtesting loop, so features such as detailed portfolio accounting or broker connections are not its focus.

At a glance

Research onlyOur rating, based on popularity, maintenance and how ready it is for real use.

Best forDevelopers
Used forBacktesting, Strategy research
MarketsMulti-market
StackPython
Learning curveEasy to start
Practical valueMedium practical value
CostFree and open source
HardwareNo GPU needed
MaintenanceLast commit 11 days ago

GitHub stars, last 30 days

Daily snapshots since 2026-09-28 (up to 30 days): +4 over the period, now 601. Gaps mean no snapshot was taken that day.

In the author's words

A library built with backtest portability and performance in mind for backtest trading strategies.

Open on GitHub ↗This week's trending tools中文页面

Similar tools