Lean: Event-driven, professional-caliber algorithmic trading platform (22k stars)
What it does
All text below is quoted directly from the project README.
>LEAN is an event-driven, professional-caliber algorithmic trading platform built with a passion for elegant engineering and deep quant concept modeling. Out-of-the-box alternative data and live-trading support.
Commands:
- lean project-create: Create a new project containing starter code
- lean research: Run a local Jupyter Lab environment using Docker
- lean backtest: Backtest a project locally using Docker
- lean optimize: Optimize a project locally using Docker
- lean live: Start live trading a project locally using Docker
>Installation: pip install lean
Repository
QuantConnect/Lean
Repository stats
|Metric|Value|
|:-|:-|
|Stars|22,111|
|Forks|5,331|
|Last release|v2.4.0.1 (2017-08-08)|
|Languages|C# 94.4%, Python 5.5%, Jupyter Notebook 0.1%|
|Contributors|233|
|AI contributor accounts (Claude / Codex / Cursor / Copilot)|claude: 94|
|AI co-authored commits|Claude: 97, Copilot: 1|
Main contributor
|Field|Value|
|:-|:-|
|Name|Michael Handschuh|
|GitHub|@mchandschuh|
|Commits to this repo|2,682 (top contributor)|
|Bio|Interests ranging from computational finance and fluid dynamics to large enterprise level distributed systems.|
|Company / Location|1Konto / Philadelphia|
|Followers|183|
|Public repos|37|
|On GitHub since|2010-12-21|
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11 points
Mentions
QuantConnect/Lean: QuantConnect/Lean iş biraz daha ciddileşince bakılabilecek repo aynı engine içinde: research backtest paper/live trading tarafını bir araya getiriyor equity, options, futures, forex, crypto gibi farklı marketleri desteklemesi de güzel “notebookta çalışan şey live’a nasıl gider?” sorusunun araçlarından biri
Lean: Event-driven, professional-caliber algorithmic trading platform (22k stars) What it does All text below is quoted directly from the project README. >LEAN is an event-driven, professional-caliber algorithmic trading platform built with a passion for elegant engineering and deep quant concept modeling. Out-of-the-box alternative data and live-trading support. Commands: - lean project-create: Create a new project containing starter code - lean research: Run a local Jupyter Lab environment using Docker - lean backtest: Backtest a project locally using Docker - lean optimize: Optimize a project locally using Docker - lean live: Start live trading a project locally using Docker >Installation: pip install lean Repository QuantConnect/Lean Repository stats |Metric|Value| |:-|:-| |Stars|22,111| |Forks|5,331| |Last release|v2.4.0.1 (2017-08-08)| |Languages|C# 94.4%, Python 5.5%, Jupyter Notebook 0.1%| |Contributors|233| |AI contributor accounts (Claude / Codex / Cursor / Copilot)|claude: 94| |AI co-authored commits|Claude: 97, Copilot: 1| Main contributor |Field|Value| |:-|:-| |Name|Michael Handschuh| |GitHub|@mchandschuh| |Commits to this repo|2,682 (top contributor)| |Bio|Interests ranging from computational finance and fluid dynamics to large enterprise level distributed systems.| |Company / Location|1Konto / Philadelphia| |Followers|183| |Public repos|37| |On GitHub since|2010-12-21| ────────────────────────────── 📌 How many great GitHub repos have you discovered and completely forgotten about? Don't let another useful tool disappear into your Reddit feed. Get the community's best repos, organized by category, plus key takeaways from real developer discussions, delivered to your inbox twice a week. 📬 Never lose track of great repos again. Subscribe free.
5 Free GitHub Repos That Replace a $30K Wall Street Terminal #wallstreet #daytrading Wall Street pays ~$30K a year for tools like these. All 5 are free and open source. 01 OpenBB (free data platform): OpenBB-finance/OpenBB 02 FinceptTerminal (Bloomberg-style terminal): Fincept-Corporation/FinceptTerminal 03 Vibe-Trading (AI quant agent): HKUDS/Vibe-Trading 04 QuantConnect Lean (pro backtester): QuantConnect/Lean 05 My 2 NQ strategies: dropping soon. Subscribe so you don't miss them. Learn to day trade NQ step by step: artillerytrades.gumroad.com Educational only, not financial advice. Futures trading involves substantial risk of loss. #shorts #daytrading #nasdaq #futurestrading #algotrading #github #quant #tradingview