TradingAgents
TauricResearch/TradingAgents
An open-source framework using AI multi-agents to simulate real trading teams, helping you analyze and execute financial trading strategies with LLMs.
TradingAgents: Multi-Agents LLM Financial Trading Framework
AI Summary
What This Project Does
It's not just a script; it builds a virtual "trading firm" with different AI roles for analysis, risk control, and execution working together.
What Problems It Solves
It solves the problem where individual investors struggle to balance fundamentals, technicals, and risk control, replacing manual research and coding.
Who It's For
Quant trading enthusiasts, AI developers, finance researchers, and those wanting to study multi-agent collaboration.
Typical Use Cases
1. Backtesting AI trading strategy performance
2. Researching LLM applications in finance
3. Building your own AI trading assistant
4. Learning multi-agent system architecture
Key Strengths & Highlights
Supports multiple LLMs (GPT, Claude, etc.), simulates real trading firm division of labor, backed by academic reports, open-source & customizable.
Getting Started Requirements
Requires Python basics, API Key configuration, and some background knowledge in finance.
Purpose
Suitable for developers exploring AI quantitative trading or multi-agent collaboration. Not suitable for immediate real-money trading without tuning, as market risks exist.
Category
Tech Stack
Project Info
- Primary Language
- Python
- Default Branch
- main
- License
- Apache-2.0
- Homepage
- https://arxiv.org/pdf/2412.20138
- Created
- Dec 28, 2024
- Last Commit
- 1 months ago
- Last Push
- 1 months ago
- Indexed
- Apr 18, 2026