AlphaGBM

AlphaGBM / investment-masters

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Distill investment wisdom from Buffett, Dalio, Soros, Marks & more — 10 masters' methodologies + 13F tracking, built for AI agents.

41
15
100% credibility
Found Apr 17, 2026 at 41 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A curated collection of profiles distilling the investment methodologies of 10 renowned fund managers from primary sources like letters, books, and public SEC filings, usable by humans or AI for learning and analysis.

How It Works

1
🔍 Discover the wisdom

You stumble upon this collection of investment secrets from the world's top fund managers while browsing for smart money tips.

2
📖 Explore the masters

You read the easy guide to 10 legendary investors and their unique ways of picking winners and managing money.

3
💡 Dive into a profile

You pick your favorite like Buffett or Dalio and uncover their rules for buying, holding, and selling with real examples from their letters and reports.

4
Choose your way to learn
👤
Read on your own

Take notes on the common principles and check public ownership lists to spot trends.

🤖
Team up with AI

Copy the files to your AI friend's learning folder and ask questions like 'Compare risk ideas'.

5
📊 Get custom insights

Whether alone or with help, you compare strategies, review latest holdings, and apply ideas to today's market.

🏆 Invest like a master

You now stand on the shoulders of giants, making wiser choices with proven principles and real data.

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Star Growth

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AI-Generated Review

What is investment-masters?

This repo distills methodologies from 10 investment masters like Buffett, Dalio, and Soros into structured profiles covering selection criteria, risk management, and exit rules, paired with public 13F holdings tracking via SEC EDGAR links. It solves the problem of scattered primary sources—shareholder letters, memos, books—by packaging them for quick AI queries or human reference, like a distill llm github for investment masters class insights. Clone it into Claude or Cursor skills folders to query "Distill Buffett's methodology" or "Compare Dalio and Marks on risk."

Why is it gaining traction?

Unlike generic finance bots or AI roleplay tools relying on news scraps, it pulls from verifiable primaries with citations, mapping styles to actionable rules plus real 13F data—no fluff, just systems like risk parity or reflexivity applied today. The hook is seamless AI integration for devs building trading agents, standing out in distill pub github-style projects with finance depth. Early buzz from 41 stars shows quants and AI builders testing it for systematic edges over intuition.

Who should use this?

Quant developers scripting investment agents, fintech engineers needing 13F monitors for backtests, or LLM prompt hackers in masters in investment management workflows. Ideal for those automating research on masters finance and investment online, like querying ARK's latest disruptive picks or Tepper's contrarian signals.

Verdict

Grab it if you're prototyping AI-driven trading—solid docs and MIT license make it a low-risk start, despite 41 stars and 1.0% credibility signaling early maturity. Update 13Fs quarterly yourself until it grows.

(178 words)

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