Concept Sector Deep Analysis
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About this skill
Problem Addressed
Concept-sector analysis often breaks down at specific seams: sector names look similar but boundaries are unclear, hot news lacks constituent-stock and industry-chain evidence, leader identification stays focused on price moves and turnover, and financial figures miss reporting periods and profit-account definitions. This skill targets A-share and HK-stock concept sectors and places concept definition, beneficiary screening, catalyst analysis, sector rotation, leader identification, and hot-news impact on one reviewable workflow, helping engineers turn scattered queries into an auditable report.
How It Works and Key Capabilities
- Concept definition: evaluates boundaries using constituent lists, exchange/segment distribution, and research-report industry coverage.
- Beneficiary screening: separates leaders, high-beta names, and core beneficiaries by degree of exposure, market cap, and elasticity.
- Catalyst and rotation judgment: combines policy meetings, financial news, limit-up/limit-down statistics, and sector capital flows to infer the sector stage.
- Data traceability: expects citations such as
[1]and[2], with body claims mapped to a source list.
The workflow usually starts with concept constituents, sector rankings, news/policy events, capital flows, and research reports, then moves into leader validation and hot-news impact. Financial data defaults to net profit attributable to parent company, with reporting period and YoY/QoQ labeled, avoiding confusion with total net profit.
Scope and Notes
The skill is suitable for concept-level review, event attribution, and constituent screening, but it does not replace individual stock diligence. It requires a clear concept name; time ranges affect news, quote, and event recall; and non-trading periods may only expose the latest close or latest disclosure.
Use Cases
- Review a concept sector by linking constituents, capital flows, and news to identify leaders and rotation stage.
- Attribute a sector’s one-week hot moves to policy meetings, news, and quote data with traceable citations.
- Validate CPO concept leaders using attributable net profit, reporting periods, and capital-flow evidence.
- Produce a Markdown AI-sector report with constituent, quote, research-report, and flow citations.
Best For
- Sell-side analysts writing weekly sector reports who need to attribute news, research reports, and capital flows to constituents.
- Portfolio managers tracking stock books who need to judge leaders, rotation stage, and watchable names during sector heat.
- Platform engineers building financial data agents who need MCP tools to produce cited sector reports.
- Industry analysts tracking policy impacts who need to map policy meetings to sectors, stocks, and exposure levels.
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