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TradingAgents: Multi-Agent AI Stock Analysis
107k-star multi-agent system from TauricResearch that mirrors a trading firm — specialist AI agents research fundamentals, sentiment, news, and technicals, then debate and reach a decision together.
TradingAgents is a multi-agent stock analysis system from TauricResearch, built to mirror the structure of a real trading firm. A Fundamentals Analyst reviews earnings reports and company financials. A Sentiment Analyst aggregates news headlines, StockTwits posts, and Reddit discussions into a single market mood read. A News Analyst monitors macroeconomic events and their impact on prices. A Technical Analyst reads chart patterns and indicators such as MACD and RSI. Two researchers — one taking a bullish position, one bearish — then debate the analysts' conclusions in a structured discussion. A risk management team evaluates portfolio exposure, and a Trader Agent makes the final decision. Everything runs in a single CLI session: specify the ticker, the analysis date, and the LLM provider, and the system runs the full multi-agent cycle. Version 0.5.0 adds backtesting over a ticker and date grid and SEC EDGAR fundamentals — for instance, a backtest run before Apple restated its 2010 filing reads the original 2008 figures, not the revised ones. Works with any market Yahoo Finance covers, including US, Hong Kong, London, Tokyo, and India.
Why a vibe-coder should care
A good way to see how multi-agent debate works in practice: specialists from different angles, structured disagreement, and a single decision — all in one run. For anyone who follows markets, it also gives a structured multi-angle research read on a specific ticker without manually gathering data from separate sources. Be honest about what this is: a research tool, not a trading signal.
How to install
Copy this and send it to your agent — Claude Code, Codex, any of them:
Deploy TradingAgents from https://github.com/TauricResearch/TradingAgents — run cp .env.example .env, ask me for ANTHROPIC_API_KEY and ALPHA_VANTAGE_API_KEY, start docker compose run --rm tradingagents and show me an analysis of AAPL.
Runs on a regular laptop — needs an API key from an LLM provider (Claude, OpenAI, or others) and a free Alpha Vantage key for market data. Simplest path is Docker: one command after setting up the .env file.
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