A Stock Daily Market Sense

This Skill addresses the inefficiency and limited analytical scope in post-market review for A-share investors. In actual trading, investors often need to manually compile data across multiple dimensions—such as trading volume concentration, profitability effect, leading uptrend sectors, and high-volume declines—which is time-consuming and prone to missing critical signals. Based on Tushare Pro daily data and Baostock style indices, this Skill automatically generates structured post-market research reports covering core modules including market trend analysis, trading volume concentration, profitability effect and leading uptrend sectors, high-volume decline risks, and feature-group analysis.

Usage is straightforward: simply input a command like "Analyze today's A-share market" or "Generate yesterday's market report" in the AI assistant. The Skill will automatically run the data pipeline, first generating a deterministic evidence package (containing individual stock K-lines, module-level JSON, etc.), then having the model perform module-based judgment and writing. The entire process requires no manual API calls or coding, ultimately outputting a complete report covering market judgments, sector star ratings, catalyst inference, leading stocks, and more. If needed, an HTML visual report with K-line charts and lifecycle swimlane diagrams can be generated with one click.

It is particularly suitable for quantitative traders, data analysts, and individual investors who need to track A-share market dynamics daily. Teams already using Tushare Pro or Baostock data sources and looking to automate their review process can significantly reduce repetitive work, allowing them to focus on strategy optimization and decision-making. Additionally, the Skill supports feature-group quantitative backtesting and relative return factor mining, making it suitable for deeper quantitative research.

It is recommended to use this tool uniformly after the market closes each day (around 15:30) to ensure data completeness. Note that it primarily relies on daily data and does not support real-time intraday quotes; it does not provide in-depth fundamental analysis of individual stocks, coverage of Hong Kong/US stocks, futures, or cryptocurrencies, nor does it offer trading advice. All sector judgments are strictly based on trading volume evidence, without applying predefined industry/concept labels. External materials are used only to explain catalysts and will not upgrade star ratings.