DEEPQ ETF Analysis
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Please install @user_e7dd0698/etf-analysis according to https://skillhub.cn/install/skillhub.md.
About this skill
Problem
When analyzing an ETF, the question is rarely just the latest price. A useful review also needs the tracked index, expense ratio, fund size, premium or discount, recent returns, peer ranking, holdings, industry exposure, news, and the likely cause of a recent move. These signals live across quote, fund, valuation, holdings, and attribution sources. DEEPQ ETF Analysis organizes these lookups into a structured analysis path for an agent workflow.
How It Works
The skill relies on the DeepQ MCP Server. It first resolves the ETF code mentioned by the user, then calls multiple data tools in parallel: etfBasicInfo for size, tracked index, fee, and fund company; etfLatestPrice for latest price, volume, and premium/discount; etfTechAnalysis for trend and moving-average structure; etfFunAnalysis for index valuation and earnings context; etfPerformance for recent returns and peer ranking; etfUnderAssets for holdings and industry distribution; etfRelatedNews for relevant news and announcements. When the user asks why the ETF moved recently, it additionally calls etfPriceFluctReason for attribution. The final output is integrated into sectioned report text instead of dumping raw fields.
Boundaries
It is best suited for on-exchange ETF analysis. ETF codes are usually six digits, such as 510300. On-exchange ETFs and off-exchange feeder funds have different codes and should not be mixed. If the premium is too high, the conclusion should flag the risk that the discount/premium may normalize. The skill organizes data and explains likely drivers; it does not replace investment research or provide buy/sell instructions.
Use Cases
- Use an agent to generate a concise CSI 300 ETF report covering size, fees, valuation, and performance.
- Investigate why a STAR 50 ETF dropped recently using attribution, news, and premium/discount data.
- Review an ETF's underlying assets and industry distribution to check sector exposure.
- Distinguish on-exchange ETFs from feeder funds before choosing the correct six-digit code.
Best For
- Equity researchers focused on broad-index ETFs who need quick checks on size, fees, valuation, and ranking.
- Individual investors allocating ETFs who want to understand holdings, sector exposure, and recent moves.
- Data engineers building agent workflows who need to structure DeepQ MCP ETF queries into standard reports.
- Market analysts writing briefs who need to combine quotes, technicals, news, and attribution.
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