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Strategems.jl

Backtesting & trading frameworks★ 168 GitHub starsJulia⏱ No commits in over six months

Julia framework for systematic strategy development and backtesting

What it is

A Julia package for developing and backtesting quantitative systematic trading strategies. It lets you define a strategy's rules and test them on historical data entirely within Julia, building on the language's speed for numerical work. Quant developers and researchers who prefer Julia are the intended users. It is a smaller project than mainstream Python backtesters, so expect fewer built-in features, integrations and worked examples.

At a glance

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

Best forProfessional quants
Used forBacktesting, Strategy research
MarketsMulti-market
StackJulia
Learning curveSteep learning curve
Practical valueLow practical value
CostFree and open source
HardwareNo GPU needed
MaintenanceNo commits in over six months

GitHub stars, last 30 days

Daily snapshots since 2026-09-28 (up to 30 days): +1 over the period, now 168. Gaps mean no snapshot was taken that day.

In the author's words

Quantitative systematic trading strategy development and backtesting.

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