Ross ROSS = Recommend OSS · open-source software intelligence for agents

pst-group/pysystemtrade

Systematic Trading in python observed · 2026-08-28

github.com/pst-group/pysystemtrade · Python · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 93
  • Release rhythm 40
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: 0
  • age_days: 3932
  • days_rel: 665
  • days_push: 46
  • n_releases_24m: 2

Full methodology

Adoption not part of the score

3484 stars · 1066 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

pysystemtrade is a Python framework for systematic futures trading, implementing the systems from Rob Carver's book 'Systematic Trading'. It serves as both a backtesting environment and a fully automated production trading system connected to Interactive Brokers.

Use cases

  • backtest systematic futures trading strategies in python
  • run an automated futures trading system with interactive brokers
  • implement trading strategies from Rob Carver's systematic trading book
  • test portfolio optimisation and position sizing rules on historical futures data
  • build a production algo-trading pipeline for futures markets

When to choose

  • you want to replicate or extend Rob Carver's systematic trading framework
  • you need both backtesting and live automated futures trading in one codebase
  • you trade futures via Interactive Brokers and want open-source automation
  • you're comfortable with Python and want a head start on your own trading system

When to avoid

  • you need a polished product with professional support rather than a DIY framework
  • you trade equities, crypto, or forex rather than futures
  • you're not comfortable writing and debugging Python code yourself
  • you want a package installable from PyPI

Facets

library · maturity active

trading workflow-automation data-science fintech python windows self-hosted systematic-trading futures-trading backtesting-engine interactive-brokers algorithmic-trading rob-carver quant-strategies backtesting trading quantitative-finance automation linux macos

1 source

Member repositories

RepositoryRoleHealth v2
pst-group/pysystemtrademain76

For agents

markdown · JSON · MCP: product_card(name="pst-group/pysystemtrade")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem