DeepQ Research Report Analysis
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Please install @user_e7dd0698/research-reports according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
Stock research signals are scattered across research reports, ratings, institutional visits, earnings summaries, corporate events, and price moves. This skill targets A-share analysis and organizes data from DeepQ MCP Server into readable conclusions, reducing the cost of switching between data sources.
How It Works
It parses the stock, time range, or event type from the prompt, then calls relevant tools by scenario:
- Research snapshot: runs parallel calls to stkResearch, researchRatingStats, and stockInstResearchStats to summarize latest views, rating distribution, target prices, and institutional research activity.
- Earnings summary: extracts key financial metrics and narrative summaries for quick performance checks.
- Event and price attribution: uses stkEventAnalysis and stkPriceFluctReason to explain announcements, important events, and abnormal price movements.
- Market events: uses aShareMarketEvents for macro, sector, and company events; an empty query returns broad market events.
Output is usually ordered by rating distribution, latest research views, institutional research, recent events, and attribution, making it useful for initial screening or review.
Boundaries
It requires a configured DeepQ MCP Server and is best suited to A-share institutional research. Research and event data can be lagged, so more recent dates are more useful. Price-move attribution should still be cross-checked against market conditions, liquidity, policy, and fundamentals.
Use Cases
- During market hours, explain whether a stock's sharp move is driven by filings, sector events, or other triggers.
- Review broker views, rating distribution, and target prices for a stock to build a one-page research brief.
- Check recent institutional research activity on a listed company and summarize visits, institutions, and key points.
- Compile macro, sector, and company A-share events each Monday for the morning meeting deck.
Best For
- Sell-side or buy-side analysts filtering daily broker reports and ratings for key A-share names.
- Research assistants preparing A-share event recaps and stock-move attribution for morning meetings.
- Industry researchers tracking listed-company institutional visits, earnings summaries, and key announcements.
- Quant analysts using an MCP agent to aggregate stock research data into structured conclusions.
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