TradingAgents
TradingAgents: Multi-Agents LLM Financial Trading Framework
Develop financial trading strategies using multiple AI agents that work together.
From the README
git clone https://github.com/TauricResearch/TradingAgents.git cd TradingAgents
- Fundamentals Analyst: Evaluates company financials and performance metrics, identifying intrinsic values and potential red flags.
- Sentiment Analyst: Aggregates news headlines, StockTwits, and Reddit chatter into a single sentiment read to gauge short-term market mood.
- News Analyst: Monitors global news and macroeconomic indicators, interpreting the impact of events on market conditions.
- Technical Analyst: Utilizes technical indicators (like MACD and RSI) to detect trading patterns and forecast price movements.
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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TradingAgents has 102k stars on GitHub. It has been forked 19.6k times. TradingAgents is written mainly in Python. It has been in active development since 2024. TradingAgents is available under the Apache-2.0 license. Its main topics are agent, finance, llm, multiagent.
What is TradingAgents?
TradingAgents: Multi-Agents LLM Financial Trading Framework
Is TradingAgents open source?
TradingAgents is an open-source project. It is released under the Apache-2.0 license.
Is TradingAgents free?
Yes. TradingAgents is free and open source — you can use, modify and self-host it.
What license does TradingAgents use?
TradingAgents is available under the Apache-2.0 license.
What language is TradingAgents written in?
TradingAgents is written mainly in Python.
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