Stock Peer Comparison Analysis

Problem It Solves

When researching a single stock, price charts and standalone financial statements rarely show where it ranks in its industry: whether valuation is stretched, whether profitability is improving, and whether capital flows or institutional sentiment are shifting. This skill reframes the question as a structured comparison between a target stock and comparable peers, producing conclusions that are easier to audit.

How It Works

The workflow is built around Gildata MCP data:
- Peer identification: uses tools such as StockBelongIndustry, StockBelongConcept, and IndustryConstituentStocks to resolve the target industry or concept, then selects 5-10 peer companies with similar market capitalization and business scope.
- Multi-dimensional comparison: fetches basic company information, three-year financials, valuation, recent market performance, fund flow, and institutional ratings, drawing on fields from FinancialStatement, StockValueAnalysis, RealStockFundFlow, and InstitutionalRating.
- Calculation and validation: cross-checks gross margin, net margin, ROE, three-year CAGR, and year-over-year growth, while reading currency and unit fields to prevent mixing A-share and HK-stock data or applying unauthorized currency conversion.
- Output: generates Markdown and HTML reports with sortable tables, citation anchors, a data-source appendix, and the disclaimer that the content is for reference only and not investment advice.

Boundaries and Caveats

This skill targets A-share and some HK-stock peer comparison, and depends on a configured MCP service and JY_API_KEY. Data has different refresh frequencies: market data is real-time, valuation is T+1, and financials update 1-2 business days after quarterly or annual reports. New listings, missing fields, currency differences, and accounting standard differences should be interpreted carefully according to the notes in the report.