AlphaGBM/investment-masters

What it solves

It provides a structured way for AI agents and human investors to apply the specific investment methodologies of 15 world-renowned fund managers. Instead of relying on generic AI roleplay, it offers a methodology extraction framework that focuses on the why, how, and when of professional investing (selection, sizing, risk, and exit strategies).

How it works

The project consists of a collection of detailed profiles for 15 investment "masters" (such as Warren Buffett, Ray Dalio, and Stanley Druckenmiller), distilled from primary sources like shareholder letters, SEC filings, books, and memos. These profiles are designed as "skills" that can be integrated into AI agents (like Claude Code or Cursor) to guide the AI's analysis of companies or markets using a specific investor's lens. It also provides links to official SEC EDGAR 13F filings for verification of actual holdings.

Who it’s for

• AI Agent Developers: Those looking to give their agents specialized financial analysis capabilities.
• Human Investors: Individuals wanting to study and apply systematic investment rules from legendary managers.
• Financial Analysts: Professionals who need a structured framework to compare different investment philosophies.

Highlights

• 15 Diverse Perspectives: Covers styles ranging from value and growth to macro trading, quant, and disruptive innovation.
• Methodology-First Approach: Prioritizes systematic rules over surface-level quotes or AI roleplay.
• Agent-Ready Integration: Specifically designed for easy cloning into AI tool directories (e.g., .claude/skills or .cursor/skills).
• Evidence-Based: Encourages the separation of supplied evidence from facts that still require verification.