Stock Industry Valuation Analysis

Problem

Stock valuation is often reduced to PE, PB, or DCF parameter assembly, but lacks industry positioning, profit-pool mapping, financial-quality checks, and source traceability. @venyiai/stockansys structures the workflow as an L1–L7 layered engine: identify the industry position and key contradiction first, then map valuation parameters, and finally validate financials, compute estimates, and audit consistency.

Workflow

• Data collection: fetches quotes, K-lines, financial statements, shareholders, research reports, and macro data through TDX MCP scripts, then produces a data-gap list.
• Industry mapping: builds a six-layer industry architecture tree to locate the chain, profit pool, and end-state position, avoiding formula-first valuation.
• Parameter mapping: maps industry findings to WACC, growth, margin, and other valuation parameters with source tags; unsourced parameters are blocked.
• Valuation and audit: runs PE, comparable, and DCF estimates, followed by sensitivity, scenario, and two-way consistency checks, then outputs an HTML one-page report.

Boundaries

The report is formatted for browser printing or PDF export, but it is reference analysis and not investment advice. If data is missing, the skill lists gaps; if circuit-breaker rules trigger, it states which conclusions are unavailable. It suits analysts needing traceable valuation workpapers, industry logic, and cross-checks between industry and financial evidence.