QuantConnect

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

Top 10 Trading Repositories on GitHub (October 2026 Update) Every trading platform you can buy is competing with something free on GitHub. These are the ten open-source repositories actually worth your weekend — ranked by maintenance, documentation, honesty about performance and live-trading support, not by stars alone. Star counts, licences, release dates and last-commit dates are all live as of October 2026. ⏱️ CHAPTERS 00:00 The best trading software is free 00:47 How we ranked 17 repositories (the five-point test) 01:30 #10 FinRL — deep reinforcement learning for trading 02:17 #09 Hummingbot — market making and execution 03:01 #08 LEAN Engine — QuantConnect's institutional engine 03:43 #07 yfinance — the market data layer 04:25 #06 NautilusTrader — Rust core, Python API 05:07 #05 CCXT — one API for 100+ exchanges 05:53 #04 VeighNa (vnpy) — full platform with an ML module 06:40 #03 Qlib — Microsoft's AI quant research platform 07:25 #02 freqtrade — the retail crypto bot standard 08:15 #01 OpenBB — the biggest finance repo on GitHub 09:03 The 2026 open-source stack (how they fit together) 09:49 Rules before you clone anything 🔗 ALL TEN REPOSITORIES 1. OpenBB — 74.0k stars · Apache-2.0 — OpenBB-finance/OpenBB 2. freqtrade — 55.2k stars · GPL-3.0 — freqtrade/freqtrade 3. Qlib — 49.2k stars · MIT — microsoft/qlib 4. VeighNa (vnpy) — 45.8k stars · MIT — vnpy/vnpy 5. CCXT — 44.3k stars · MIT — ccxt/ccxt 6. NautilusTrader — 29.8k stars · LGPL-3.0 — nautechsystems/nautilus_trader 7. yfinance — 25.5k stars · Apache-2.0 — ranaroussi/yfinance 8. LEAN Engine — 21.9k stars · Apache-2.0 — QuantConnect/Lean 9. Hummingbot — 20.4k stars · Apache-2.0 — hummingbot/hummingbot 10. FinRL — 16.6k stars · MIT — AI4Finance-Foundation/FinRL ❌ WHAT DID NOT MAKE IT backtrader (23.4k stars) still has not been touched since April 2023, so it is out despite the star count. Indicator and backtesting libraries — TA-Lib, vectorbt, jesse, StockSharp — are honourable mentions rather than full systems. 🧪 HOW WE RANKED THEM 1. Is it maintained? (last commit + release cadence — this alone removed a famous library) 2. Can you run it this weekend? (install docs, Docker, a tutorial that ends in a working strategy) 3. Is it honest about performance? (fees and slippage modelled, overfitting warnings in the docs) 4. Does it trade live, or is it a research toy? 5. Is there a community behind it? (contributors, merged PRs, answered issues) ⚠️ THREE RULES BEFORE YOU CLONE 1. Backtests lie by default — fees, slippage, look-ahead bias and overfitting. Test on data your model has never seen. 2. Paper trade first. Freqtrade's own docs say dry-run for a month; that applies to every repo here. 3. Check the licence before you build a business on it. These range from MIT and Apache to GPL and LGPL. Nothing in this video is financial advice. These are educational, open-source tools and most of them can lose money quickly. Which repository are you cloning first? Tell me in the comments. #Trading #OpenSource #GitHub