DeepQ Comprehensive Stock Analysis

Problem

When analyzing a single A-share stock, relevant signals are scattered across business highlights, financials, technical signals, capital flows, valuation comparisons, research ratings, and risk events. Querying these sources manually can miss dimensions and produce inconsistent reports. DeepQ Comprehensive Stock Analysis turns this multi-tool lookup into a fixed workflow, useful for engineering teams building research assistants or for generating a complete single-stock view.

How It Works

The skill depends on the DeepQ MCP Server and follows three steps:

• Resolve the ticker: call guessStockCode to convert natural language such as “XX stock” into a standard stockCode and stockName.
• Fetch data in parallel: use multiple MCP tools for the same ticker, including stockBizHighlight, stockFunAnalysis, stockTechAnalysis, stockCapAnalysis, stockValuation, stockRepInsight, stockRiskWarning, and stockFlexibility.
• Assemble the report: organize output by company overview, fundamentals, technicals, capital flows, valuation, research views, risk notes, and flexibility, then add a brief overall conclusion.

Each tool usually returns analysis content in the data field, and code equals 0 on success. The final conclusion states that the content is for reference only and is not investment advice.

Boundaries

This skill is intended for comprehensive A-share single-stock analysis and relies on external data services and MCP configuration. If the ticker cannot be resolved, prompt the user to confirm the company name or provide an accurate code. The output is a research framework, not a trading signal.