AI Hedge Fund

Description

AI Hedge Fund is a GitHub project designed as a proof of concept for an AI-powered hedge fund. The project's primary goal is to investigate the application of artificial intelligence in making trading decisions. It is explicitly intended for educational and research purposes and should not be used for actual trading or investment activities.

The system simulates a hedge fund environment by integrating several specialized agents. These agents include the Aswath Damodaran Agent, focusing on valuation; the Ben Graham Agent, emphasizing value investing; and others representing various investment philosophies such as growth, contrarian, and risk management. The project also incorporates agents for sentiment analysis, fundamental analysis, and technical analysis to generate trading signals. A risk manager and portfolio manager are also included to simulate the complete process.

The project provides a command-line interface (CLI) and a web application for users to interact with the AI-driven trading simulation. The CLI allows for granular control and is suitable for automation and scripting. The web application offers a user-friendly interface for those who prefer a visual approach. The project includes detailed instructions on how to install and run the application, including setting up API keys for LLMs and financial data. The project is licensed under the MIT License, allowing for broad use and modification.

The project's value lies in its educational potential, offering a hands-on experience in AI and finance. It allows users to explore different investment strategies and understand how AI can be applied in financial analysis. The project's structure and documentation make it accessible for both beginners and experienced developers interested in AI and finance. The project's disclaimer emphasizes that it is not intended for real trading and provides no investment advice, highlighting its focus on education and research.

AI Hedge Fund's Core Features

• Simulates AI-driven trading strategies

• Integrates multiple investment agent types

• Includes valuation, sentiment, and risk analysis

• Offers a command-line interface (CLI)

• Provides a web application interface

• Supports various LLM API keys

• Uses financial data APIs

• Includes backtesting capabilities

• Educational and research-focused

• Open-source MIT License

• Detailed installation and usage instructions

• Focuses on AI-driven financial analysis

Getting Started with AI Hedge Fund

1. 1

   Clone the Repository: Use `git clone https://github.com/virattt/ai-hedge-fund.git`.

2. 2

   Navigate to the Directory: Use `cd ai-hedge-fund`.

3. 3

   Set up API Keys: Create a `.env` file and add your API keys (e.g., OPENAI_API_KEY).

4. 4

   Install Dependencies: Use `poetry install`.

5. 5

   Run via CLI: Use `poetry run python src/main.py --ticker AAPL,MSFT,NVDA`.

6. 6

   Run via Web Application: Follow the detailed instructions for installation and running the web application.

7. 7

   Contribute: Fork the repository, create a feature branch, commit changes, push to the branch, and create a pull request.

AI Hedge Fund's Use Cases

• AI Trading Simulation
• Educational Finance
• Portfolio Analysis
• Backtesting Strategies
• Research and Development
• Agent-Based Modeling

FAQ from AI Hedge Fund

• What is AI Hedge Fund?

  AI Hedge Fund is a proof-of-concept project on GitHub that uses AI to simulate trading decisions for educational purposes.

• Is AI Hedge Fund for real trading?

  No, the project is for educational and research purposes only and is not intended for real trading or investment.

• What agents are used in AI Hedge Fund?

  The project uses various agents, including Aswath Damodaran, Ben Graham, Bill Ackman, Cathie Wood, and others, representing different investment philosophies.

• How do I install AI Hedge Fund?

  You can install it by cloning the repository, setting up API keys, and installing dependencies using Poetry.

• How do I run AI Hedge Fund?

  You can run it via the command-line interface (CLI) or through the web application, following the provided instructions.

• What programming languages are used?

  The project primarily uses Python and TypeScript.

• What is the license for AI Hedge Fund?

  The project is licensed under the MIT License.

• How can I contribute to AI Hedge Fund?

  You can contribute by forking the repository, creating a feature branch, committing your changes, and creating a pull request.

• What are the key features of the AI Hedge Fund?

  Key features include AI-driven trading strategies, integration of various investment agents, CLI and web application interfaces, and educational focus.

• What are the requirements for running the AI Hedge Fund?

  You need to set up API keys for LLMs and financial data to run the hedge fund.