Project overview
Deep Stock Analysis provides a Buffett-style framework that treats a stock as a whole business rather than a short-term price forecast. It asks the analyst to separate facts, assumptions, inferences, and opinions while examining the business, moat, management, financial quality, intrinsic value, margin of safety, and reasons not to buy. The templates work as plain prompts or a Claude Skill across three markets. They are for research and method practice, not investment advice, and current data must be checked independently.
Repository facts
- Primary language
- Not detected
- License
- MIT
- Repository updated
- Jun 21, 2026
- Default branch
- main
Resource types
Prompt pack
Use cases
Finance, legal and compliance