Five-Dimension Stock Analysis

Problem Addressed

Stock analysis often collapses into headlines, chart patterns, and short-term momentum. stock-analysis-five-dimension is built for a mid-term position-building view, breaking a stock into fixed layers: industry track, business model, financial quality, valuation, and catalysts/timing. It helps an investor screen out weak companies, expensive entry points, and overheated speculative flows before committing capital.

How It Works

The skill works through a five-layer checklist:
- Industry and track: market size, lifecycle stage, policy direction, competitive structure, and growth rate.
- Business model and moat: brand, technology, network effects, switching costs, scale advantages, supported by gross margin, ROE, cash flow, and repeat purchase signals.
- Financial health: revenue and profit growth, operating cash flow, free cash flow, leverage, and goodwill risk.
- Valuation reasonableness: PE, PEG, EV/EBITDA, and dividend yield used to judge margin of safety rather than blindly chasing low ratios.
- Catalysts and timing: upside triggers such as earnings beats, policy support, management buying, and buybacks, plus sell signals such as insider selling, customer loss, and accounting red flags.
It also includes a speculative-flow pre-screen based on short-term price gains, turnover, and weak thematic linkage, and a light 1%~2% tracking approach for potential inflection-point stocks.

Boundaries

The framework is intended for a 1~3 month mid-term view, not 1~5 day short-term price prediction. Metric thresholds and examples in the source are analytical references, not trade instructions. Output should preserve risk warnings and state that the analysis is not investment advice.