Smart stock market transactions with artificial intelligence
TradingAgents is a multi-agent LLM-based framework developed for trading in financial markets. This system, written in Python, enables autonomous trading agents to analyze financial data, create strategies and manage decision-making processes.
Updates
- September 18, 2026: Stars 107,234 → 107,380, latest release v0.5.0 (September 18, 2026).
- September 17, 2026: Stars 101,981 → 107,234, latest release v0.4.0 (August 31, 2026).
- August 31, 2026: Stars 100,847 → 101,981, latest release v0.4.0 (August 31, 2026).
- August 27, 2026: Stars 95,338 → 100,847, latest release v0.3.1 (July 5, 2026).
What you get
- It manages financial analysis and strategy development processes with autonomous agents.
- Works collaboratively with expert roles such as analyst, researcher and risk management.
- It evaluates market data with the support of multiple artificial intelligence models.
Installation
git clone https://github.com/TauricResearch/TradingAgents.git
cd TradingAgents
pip install .Running it
python -m cli.mainIf you don't write code
I want to analyze financial market data using the TradingAgents tool. I completed the installation and configured my necessary API keys. How can I initialize the system for agents to evaluate market conditions and perform technical and fundamental analysis? With what command can I activate autonomous trading agents and start the strategy creation process?
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-02: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. This page was machine-translated from the Turkish original · the Turkish version prevails.