
I Built an AI Warren Buffett. Now It Trades For Me.
This video demonstrates how to build an AI trading bot that mimics Warren Buffett's investment strategy, using the open-source "AI Hedge Fund" project on GitHub. The bot leverages Claude (Fable 5.1) and real-time financial data (e.g., from Financial Datasets) to analyze stocks and execute trades.
Key Steps & Results:
- Stock Analysis: The AI Buffett rated Apple as neutral (60% confidence) and Nvidia cautiously (due to margin concerns). Coca-Cola received the highest confidence (68%).
- Portfolio Construction: With a simulated $100,000 fund, the bot selected 24 stocks from the S&P 500 top 100. Top holding: Microsoft; smallest: IBM. Only 3% cash.
- Backtest (Sept. 2024 to present): The AI Buffett outperformed the S&P 500 with a return of 39.2% vs. 34.8% and a lower max drawdown (5.8% vs. 8%). Best performer: Alphabet (+114%); worst: Accenture (-$2,000).
- Automation: The bot can be connected to an Alpaca paper trading account via API for automatic order execution. Persistent operation on a VPS is supported.
Conclusion:
The simulation suggests an AI model based on Buffett's approach can beat the market — at least in backtesting. However, the creator warns against entrusting real savings to such a bot. The project is intended as an experiment and learning tool.





