AI Agent Hub
Back to skills
Xiapi A-Share Daily Market Review icon

Xiapi A-Share Daily Market Review

Professional Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md and install @user_506878eb/xiapi-market-review.

About this skill

Problem

Daily A-share reviews suffer from fragmented signals: index moves, sector strength, limit-up/down sentiment, style rotation, and hot concepts are scattered across separate interfaces. Manual checks are time-consuming and can mistake single-day noise for trend, or miss contradictions between dimensions.

Workflow

The skill structures same-day A-share analysis into a reusable workflow: it reads market index, market compass, sector heatmap, and zdt --type zt via daxiapi-cli, then adds market style, hotrank concept, and hotrank stock to infer style rotation and capital focus. It prioritizes concrete data, compares strong sectors, limit-up structure, small-cap/large-cap rotation, and theme persistence, then outputs a conclusion-first report with risk notes.

Scope

It is suitable for daily A-share market overviews, hot-topic clues, and capital direction checks. It is not intended for single-stock deep dives, earnings analysis, or markets outside A-shares such as bonds, funds, futures, and FX. For single metrics, use the corresponding specialized skill instead of elevating one signal into a market conclusion.

Use Cases

  • After close, summarize indices, sectors, limit-up/down, and hot concepts into a daily A-share review.
  • Before morning meeting, check market temperature, style rotation, and leading sectors.
  • When tracking capital focus, compare limit-up industries, hot-concept ETFs, and consecutive limit-up strength.
  • When writing market daily notes, support market-state judgments with data and risk notes.

Best For

  • Brokerage analysts producing daily market reports need to consolidate multi-dimensional data into a review.
  • A-share portfolio managers need a quick post-close read on sector rotation and capital focus.
  • Research assistants preparing morning briefs need data-backed market-state conclusions and risk notes.
  • Sector analysts tracking themes need to compare limit-up industries, hot-concept ETFs, and streak strength.