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Backtesting & trading frameworks★ 214 GitHub starsPython⏱ Last commit 5 months ago

Deploy backtested strategies to live or paper trading unchanged

What it is

A broker-agnostic Python library for taking strategies from popular backtesting engines into live or paper trading without changing their code. It supports strategies written for frameworks such as Backtrader and Zipline and adds built-in safety checks before orders go out. Quant developers who have finished a strategy in a backtester and want a faster route to execution are the target users. Moving to live trading still deserves a paper-trading period, since live fills and data differ from a backtest.

At a glance

Worth watchingOur rating, based on popularity, maintenance and how ready it is for real use.

Best forDevelopers
Used forBacktesting, Live trading
MarketsMulti-market
StackPython
Learning curveModerate learning curve
Practical valueMedium practical value
CostFree and open source
HardwareNo GPU needed
MaintenanceLast commit 5 months ago

GitHub stars, last 30 days

Daily snapshots since 2026-09-28 (up to 30 days): 0 over the period, now 214. Gaps mean no snapshot was taken that day.

In the author's words

An open‑source, broker‑agnostic Python library that lets you seamlessly deploy strategies from any major backtesting engine to live (or paper) trading with zero code changes and built‑in sa

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