TradingAgents
by TauricResearchTradingAgents: Multi-Agents LLM Financial Trading Framework
In simple words: PyPortfolioOpt is a tool made for people who build software, for keeping proper records of money in and money out. It is completely free and open source — its code is public on GitHub, where 6,139 people have bookmarked it as worth using.
💡 A real-life example: You record every expense in a tool like this for one month, and for the first time you can see exactly where your salary disappears.
RepoEasy wrote this simple explanation from the project's public data — its category, topics and description — so a beginner can understand it before downloading anything. For exact technical details, the project's own README (linked below) is the final word.
Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
This is the project's own description from GitHub — we show it as-is rather than inventing details.
This project is listed under Accounting in Finance & Economics, a category made for savers, investors, freelancers and finance learners.
Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)
The source code is released under the MIT license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.
Activity level: Maintained · Last code update: 07 Jul 2026 · Created: 29 May 2018 · Open issues: 115
Official links: Official Website ↗ · Releases ↗ · Documentation (README) ↗
We never publish installation steps we have not verified — the README above is the source of truth.
⭐ 6139 stars · 🍴 1187 forks · 🐛 115 open issues · 💻 Language: Jupyter Notebook · 📄 License: MIT · Default branch: main
TradingAgents: Multi-Agents LLM Financial Trading Framework
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