It is a proof-of-concept project for an AI-powered hedge fund designed to explore the use of artificial intelligence in making simulated trading decisions.
It is a proof-of-concept project for an AI-powered hedge fund designed to explore the use of artificial intelligence in making simulated trading decisions. The system employs multiple AI agents working together to analyze financial data and simulate trading strategies, but it does not execute real trades or investments. This project is strictly for educational and research purposes and is not intended for actual trading.
The system requires API keys from providers like OpenAI, Groq, or Anthropic to function, and users must set these keys in the environment. Financial data for specific tickers (AAPL, GOOGL, MSFT, NVDA, and TSLA) is provided for free, while data for other tickers requires a FINANCIAL_DATASETS_API_KEY. Users can specify start and end dates to simulate trading decisions or backtest strategies over a specific time period. Additionally, a –show-reasoning flag can be used to display the decision-making process of each AI agent.
The project is open-source, licensed under the MIT License, and encourages contributions. Users are advised to keep pull requests small and focused for easier review. Feature requests can be submitted as issues tagged with “enhancement.” The repository includes detailed documentation on setup, usage, project structure, and contributing guidelines. By using this software, users agree to use it solely for learning purposes.
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