An open-source collection of contrarian deep value investment research, focusing on fundamental analysis, market insights, and timeless value investing principles.
- Overview
- Repository Structure
- Key Features
- Recent Highlights
- Analysis Methodology
- How to Use This Repository
- Contributing
- License
- Acknowledgments
This repository serves as a comprehensive resource for investors interested in deep value investing, fundamental analysis, and contrarian thinking. It combines rigorous financial analysis of public companies with broader market research and classic investment wisdom.
Disclaimer: All content is for educational and informational purposes only. This is not investment advice. Always consult with a licensed financial advisor before making investment decisions.
In-depth financial analysis and fundamental research on individual companies:
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NVDA (Nvidia) - Comprehensive Q3 2025 earnings analysis with 33+ financial metrics, charts, and deep-dive reports
- Revenue: $35.1B (+94% YoY), dominant position in AI infrastructure
- Multiple analysis reports covering business model, moat, and valuation
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LULU (Lululemon) - Deep value forensic investing report for Q3 2025
- Premium athleisure brand with industry-leading margins
- Analysis includes variant perception and contrarian viewpoints
- Available in both English and Chinese (中文)
-
AMZN (Amazon) - Q3 2025 financial analysis and business model evaluation
- Comprehensive breakdown of AWS, e-commerce, and advertising segments
Each company analysis includes:
- Detailed earnings summaries and financial metrics
- Business model breakdowns and competitive moat analysis
- Revenue segment analysis and growth drivers
- Profitability, efficiency, and valuation metrics
- Visual charts for key financial indicators (30+ metrics per company)
- Forensic deep value investment framework
- Bilingual content (English and Chinese where available)
Timely analysis of macro trends, market conditions, and economic developments:
- FOMC Rate Decision and Outlook (Dec 2025)
- Howard Marks on AI Bubble (Dec 2025)
- Buffett Indicator & Shiller PE Analysis (Dec 2025)
- Housing Market Issues Explained (Dec 2025)
- Bitcoin Weaknesses and Future Implications (Nov 2025)
- Michael Burry's Accusations on AI (Nov 2025)
- Ilya's AI Insights and Company Financials (Nov 2025)
- The Great Divergence: 2025 State of AI Infrastructure (Nov 2025)
Educational resources on fundamental investing concepts:
Collection of Warren Buffett's Partnership Letters (1956-1970):
- Partnership Letters Summary - Comprehensive analysis and key takeaways
- Original Letters - Complete collection in English
- 中文版本 - Chinese translations
- Comprehensive Analysis: 30+ financial metrics per company covering profitability, growth, valuation, and risk
- Visual Data: Professional charts and visualizations for all key financial indicators
- Bilingual Content: Research available in both English and Chinese (中文)
- Contrarian Framework: Deep value and forensic investing approach inspired by value investing legends
- Timely Updates: Regular analysis of earnings reports and market developments
- Educational Resources: Practical guides on balance sheet analysis, DCF valuation, and value investing principles
- Historical Archive: Complete collection of Warren Buffett Partnership Letters (1956-1970)
- Open Source: All research freely available under MIT License
- December 2025: FOMC rate decision analysis and market outlook
- December 2025: Lululemon (LULU) Q3 2025 forensic deep value report
- December 2025: Buffett Indicator and Shiller PE market valuation analysis
- November 2025: Nvidia (NVDA) Q3 2025 comprehensive earnings analysis with 33 metrics
- November 2025: AI infrastructure market research featuring insights from Howard Marks and Michael Burry
Company analyses follow a rigorous framework covering:
- Business Model: Revenue sources, customer base, competitive positioning
- Financial Performance: Income statement, balance sheet, cash flow analysis
- Competitive Moat: Sustainable competitive advantages and barriers to entry
- Valuation: Multiple methodologies including P/E, P/B, DCF, and relative valuation
- Risk Assessment: Key risks, dependencies, and potential challenges
- Growth Analysis: Historical trends and future growth drivers
For Value Investors:
- Start with Business Research to explore detailed company analyses
- Review Market Research for macro context and market conditions
- Study Warren Buffett Archive to learn from the master investor's early years
For Students & Educators:
- Begin with Value Investing Principles for foundational concepts
- Use company analyses as case studies for financial statement analysis
- Examine real-world applications of DCF, margin of safety, and moat analysis
For Researchers:
- Access raw data files (CSV) and visual charts in company directories
- Compare financial metrics across different companies and time periods
- Build upon the open-source framework for your own analysis
This repository is maintained by the LuLu Contrarian Deep Value Research Foundation. Contributions, suggestions, and feedback are welcome through issues and pull requests.
This project is licensed under the MIT License - see the LICENSE file for details.
Copyright (c) 2025 LULU
This research draws inspiration from value investing legends including Warren Buffett, Charlie Munger, Benjamin Graham, Seth Klarman, Howard Marks, and other practitioners of fundamental analysis and contrarian thinking.
Note: All financial data and analysis are based on publicly available information and filings. Past performance does not guarantee future results. Investment involves risk, including possible loss of principal.