This AI-powered hedge fund is a proof of concept designed for educational exploration of AI-driven trading decisions. It integrates multiple specialized agents, including valuation, sentiment, fundamentals, and technicals, to simulate sophisticated investment strategies. The system is not intended for real trading but serves as a learning tool for understanding AI's potential in finance.

Who It's For
Ideal for students, developers, and finance enthusiasts interested in AI and investing. It’s perfect for academic projects, research, or experimenting with algorithmic trading in a risk-free environment.

Key Features

• Specialized Agents: Includes models inspired by legendary investors like Warren Buffett, Cathie Wood, and Stanley Druckenmiller, each focusing on unique strategies such as value investing, growth, or macro opportunities.
• Comprehensive Analysis: Combines valuation (intrinsic stock value), sentiment (market mood), fundamentals (financial health), and technicals (price patterns) for well-rounded trading signals.
• Risk & Portfolio Management: A dedicated Risk Manager calculates risk metrics and sets position limits, while the Portfolio Manager finalizes trades for optimal outcomes.
• Educational Focus: Designed for learning, it allows users to explore AI’s role in trading without financial risk.

How It Works
The system employs a collaborative agent framework. Each agent analyzes specific data—e.g., the Aswath Damodaran Agent focuses on disciplined valuation, while the Sentiment Agent gauges market trends. These inputs feed into the Portfolio Manager, which generates simulated trading orders. Users can study the decision-making process and experiment with AI-driven strategies.

Why It Stands Out
Unlike traditional trading tools, this project combines diverse investment philosophies with AI precision. It offers a unique sandbox for understanding complex financial strategies, making it an invaluable resource for educational and research purposes.