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

QuantConnect/Lean

Lean Algorithmic Trading Engine by QuantConnect (Python, C#) observed · 2026-08-28

github.com/QuantConnect/Lean · homepage · C# · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

67/100

  • Activity 99
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 4296
  • days_rel: n/a
  • days_push: 7
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

21363 stars · 5195 forks observed · 2026-08-28

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

LEAN is an open-source, event-driven algorithmic trading engine by QuantConnect supporting backtesting, optimization, and live trading across equities, options, futures, forex, and crypto. It is written in C# with Python support, features a modular pluggable architecture, 100+ technical indicators, and brokerage/data-provider integrations.

Use cases

  • backtest a trading strategy on historical market data
  • deploy a live trading bot to Interactive Brokers or Binance
  • build a quantitative trading algorithm in Python or C#
  • optimize strategy parameters before going live
  • simulate slippage, fees, and margin for a portfolio
  • test options and futures strategies with corporate action handling

When to choose

  • you need a professional-grade backtesting and live-trading engine with many brokerage integrations
  • you want to write strategies in Python or C# with a large indicator library
  • you need multi-asset-class support including options, futures, forex, and crypto

When to avoid

  • you only need simple charting or market data analysis without order execution
  • you want a lightweight script rather than a full engine with Docker/CLI tooling
  • you need a no-code trading platform

Facets

framework · maturity stable

trading simulation sdk cli data-science fintech cross-platform python dotnet cli backtesting live-trading quant technical-indicators brokerage-integration event-driven options forex crypto algorithmic-trading quantitative-finance automation docker

7 sources

Member repositories

RepositoryRoleHealth v2
QuantConnect/Leanmain67

For agents

markdown · JSON · MCP: product_card(name="QuantConnect/Lean")

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