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cat-geek/investment-master-mindset

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Investment Master.skill | Buffett · Graham · Livermore · Soros · Peter Lynch · Simmons · Deman · Stock trading to support a family

Overview

Buffett uses "moat + margin of safety," Graham uses "quantitative valuation + qualitative verification," Livermore uses "trend following + key points," Soros uses "reflexivity + dynamic forecasting," Peter Lynch uses "nearby stocks + long-term holding," Simmons uses "quantitative laws + model iteration," Deman uses "model limitations + skepticism," and stock trading supports a household with "sentiment cycles + leading stocks strategy." 1. — Parallel collection of masters' works, interviews, speeches, and decision records 2. — Extract mental models (must be cross-domain validated, predictive, and exclusive) 3. — Write SKILL.md: 3-7 mind models + decision heuristics + expression DNA + anti-pattern + honest boundaries 4. — Test with questions publicly answered by the master; only if the direction aligns will it pass 💡 Investing money in the market is essentially a cash flow of cognition. The same candlestick chart shows 10 people seeing 10 different opportunities. Buffett sees corporate value, Graham sees the gap between price and value, Livermore sees trend direction, Soros sees market bias. Learning to think about the same problem through multiple frameworks is the first step to avoiding the fate of being a retail investor. After installation or cloning, in agent tools like Claude Code / OpenClaw, simply say: - : When facing investment confusion, call the corresponding master's framework to think - : For the same problem, analyze using different masters' frameworks and compare differences - : Operate the simulation using the master's framework and record reviews

Overview (machine translated)

Collect and organize the thinking frameworks and investment philosophies of the world’s top investment masters to build your investment awareness system

🎯 ** Methodological Sources**: This project is built on the Nuwa.skill methodology

Examples of effects · Included Master · Project structure · Working principle · Get started quickly


Example of the effect

Below are sample dialogues showing how 8 investment masters analyze real-world problems


1️⃣ Buffett


2️⃣ Graham


3️⃣ Livermore


4️⃣ Soros


5️⃣ Peter Lynch


6️⃣ Simmons


7️⃣ Deman


8️⃣ Stock trading to support your family


**This is not just repeating the master’s quotes. ** Buffett uses “moat + margin of safety,” Graham uses “quantitative valuation + qualitative verification,” Livermore uses “trend following + key points,” Soros uses “reflexivity + dynamic forecasting,” Peter Lynch uses “nearby stocks + long-term holding,” Simmons uses “quantitative laws + model iteration,” Deman uses “model limitations + skepticism,” and stock trading supports a family with “sentiment cycles + leading stock strategies.” **They use the master’s cognitive framework to help you analyze current problems. **


Inclusion Master

This project distills the thinking frameworks of 8 investment masters:

Value Investing School

Master Representative Ideology Suitable Scenario
Warren Buffett Moat Theory, Margin of Safety, Concentrated Investment Long-term Holding, Quality Corporate Selection
Benjamin Graham Intrinsic Value, Mr. Market, Diversification Value Stock Picking, Risk Control
Peter Lynch Tenfold Stock Theory, Phenomenon Investing Around You Growth Stock Discovery, Lifestyle Stock Picking

Trend Trading School

Master Representative Ideology Suitable Scenario
Jesse Livermore Key Point Breakthroughs, Trend Following, Timing System Short-term Trading, Trend Judgment
Stock Trading to Support Your Family Leading Stock Strategies, Sentiment Cycles, Position Management A-share Short-Term Trading and Sentiment Game

Macro Hedge School

Master Representative Ideology Suitable Scenario
George Soros Reflexivity Theory, Reflexivity, Macro Opportunities Global Macro and Big Opportunity Seizure

Quantitative Trading Faction

Master Representative Ideology Suitable Scenario
Jim Simmons Quantitative Models, Short-Term Arbitrage, Data-Driven Quantitative Strategies, Technical Trading
Michael Deman Broad Thinking, Model Risk, Financial Engineering Quantitative Risk Control, Derivatives Pricing

Project Structure

Each master folder contains:

Document Instructions
`SKILL.

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