
TradingAgents
A multi-agent LLM trading framework with the roles of a real trading desk. Research code.
- Category
- AI
- Website
- github.com
- Language
- English
- Listed
- 15d ago
- Stars
- 99,515
- Forks
- 19,222
TauricResearch/TradingAgents ↗· Python· Apache-2.0· Last commit Jul 18, 2026
In TradingAgents, a team of LLM agents plays out the roles of a real trading firm. Fundamentals, sentiment, news, and technical analysts each read the market from their own angle, bullish and bearish researchers argue those readings out in structured debate, and a trader agent turns the reports into a decision. Nothing reaches the simulated exchange until a risk management team and a portfolio manager sign off. Tauric Research documented the design in an arXiv paper and ships it under Apache-2.0, where it is closing in on 97,000 GitHub stars.
Recent releases added a verified data-access contract along with FRED and Polymarket as data vendors. A provider registry covers OpenAI-compatible endpoints, Bedrock, Groq, and local Ollama. The project says outright that it exists for research and is not financial advice; outcomes shift with the backbone model, the temperature setting, and the quality of the data you feed it.