@DanKornas: A single LLM can blur market data, debate, and risk into one opaque answer. This repo splits the work across specialize…
Summary
TradingAgents is an open-source multi-agent LLM framework for financial market analysis, routing market data through specialized agents for research.
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A single LLM can blur market data, debate, and risk into one opaque answer. This repo splits the work across specialized agents.
TradingAgents is a multi-agent LLM framework for researchers and developers exploring financial market analysis.
It helps you study agent-based trading decisions by routing market inputs through analysts, bullish and bearish researchers, a trader, risk managers, and a portfolio manager.
Key features: • Specialized analyst team – covers fundamentals, news, sentiment, and technical indicators. • Structured bull/bear debate – researchers challenge analyst findings before a trade proposal. • Risk review workflow – risk agents assess proposals before the portfolio manager approves or rejects them. • Multiple model backends – supports OpenAI, Google, Anthropic, xAI, Ollama, and OpenAI-compatible endpoints. • Flexible execution – use the interactive CLI, Python package, or Docker setup.
It’s open-source (Apache 2.0 license) and intended for research, not financial advice.
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