20 Investment Masters Stock Analysis

Problem to solve

When analyzing a single stock, quotes, fundamentals, technicals, and sentiment are scattered across different terminals, while investors emphasize different things: some check moats, some focus on valuation, and some follow innovation curves. 20 Investment Masters Stock Analysis turns these perspectives into an executable workflow: when a user mentions a ticker name, a six-digit code, or keywords such as valuation or trend, it fetches A-share, HK, and US market data and returns a structured report.

How it works

• Data layer: uses the Tencent Finance API for real-time and closing quotes, price change, volume, PE, and market cap, with Yahoo Finance as a fallback; it can read K-line data, MA5/10/20/60, and recent performance.
• Analysis layer: matches the stock’s industry and characteristics to an investment framework, such as Duan Yongping’s circle of competence, Graham’s margin of safety, or Wood’s innovation and TAM view.
• Output layer: produces a report across valuation, fundamentals, technicals, and market sentiment, and supports requests like “analyze this stock using a specific master’s framework” or comparing two stocks.

Boundaries

• It is better suited for cross-checking fundamentals and market data on existing tickers than for placing orders or issuing live trading signals.
• Data depends on public market APIs; HK and US coverage depends on yfinance availability, so individual symbols should be validated against API results.
• The master frameworks are analytical lenses, not unified conclusions; high-volatility, cyclical, or event-driven names still require checking news, filings, and fund flows.