YOYO Stock Deep Analysis

Problem

Equity analysis is often split into chart reading, financial statement review, and valuation modeling. Without a shared decision frame, the output can become a vague buy or hold view. This skill narrows the task to executable elements: price position, business quality, valuation level, and then entry price, stop-loss level, profit target, and position signal. It is aimed at deep single-stock analysis in A-shares, and it degrades confidence when data is missing instead of forcing a trade call.

How it works

The skill first checks whether web_search is available, then selects parallel web_fetch collection. Technical data comes from Sina K-line or Tencent Securities APIs, including close, volume, and MA5/MA20 fields. Fundamental and valuation fields are collected by availability; missing items are marked as [unavailable] or [inferred]. The validation model weights technicals at 30%, fundamentals at 40%, and valuation at 30%, with adjustments during systemic market stress. The report applies six Munger mental models to failure risk, earnings quality, long-term space, market psychology, circle of competence, and incentive alignment. When the context triggers Tengtengba or Feynman, it adds the six-dimension checklist and six action elements.

Boundaries

This is better suited to single-stock deep dives than index or ETF valuation. Output is constrained by data freshness, anti-scraping limits, and API status; cyclical sectors should prefer PB percentile over PE. If data is insufficient, it should produce trend observation only, not position sizing. Code formats must be converted per data source, especially when A-share, HK, and US codes collide. Results are informational and not investment advice.