TauricResearch/TradingAgents
TradingAgents: Multi-Agents LLM Financial Trading Framework observed · 2026-08-28
Health v2 · maintenance only
83/100
- Activity 93
- Release rhythm 92
- Longevity 43
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: 15
- age_days: 613
- days_rel: 59
- days_push: 46
- n_releases_24m: 8
Adoption not part of the score
100743 stars · 19417 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
TradingAgents is a Python framework that orchestrates multiple LLM-powered agents to analyze financial markets and make trading decisions. It models a trading firm with analyst, researcher, and trader roles that collaborate to evaluate stocks and produce trading signals.
Use cases
- simulate a team of AI analysts to research stocks before trading
- build multi-agent LLM pipelines for financial decision-making
- get AI-generated trading signals based on news and fundamentals
- backtest LLM-driven trading strategies on historical data
- analyze market sentiment with multiple cooperating agents
- experiment with agent roles like bull/bear researchers for stock debates
When to choose
- you want a ready-made multi-agent architecture specialized for trading research
- you're experimenting with LLM agents in finance and want a research-backed framework
- you need pluggable LLM providers and data vendors for market analysis
When to avoid
- you need a production algorithmic trading system with real order execution and low latency
- you want guaranteed profitable trading - outputs are LLM opinions, not financial advice
- you need a lightweight single-agent assistant rather than a multi-agent pipeline
Facets
framework · maturity active
agent-framework llm-inference trading data-science fintech artificial-intelligence large-language-models python cross-platform multi-agent llm-agents financial-trading stock-analysis market-sentiment ai-agents
1 source
- readme: https://github.com/TauricResearch/TradingAgents · fetched 2026-08-28 · 60aa8bec283c
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| TauricResearch/TradingAgents | main | 83 |
For agents
markdown · JSON · MCP: product_card(name="TauricResearch/TradingAgents")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem