| name | a-share-stock-analysis |
| description | Use when the user asks for A-share, China stock market, 沪深A股, market hotspot, sector theme, individual stock, company analysis, portfolio holding, 持仓, 行情数据, 行业全景, 细分领域, 产业链位置, 上游/中游/下游, 技术壁垒, 独角兽技术, 概念讲解, 价值因子, 质量因子, 财务健康, 盈利趋势, 现金流走向, 主力资金, 量比, 换手率, 委比, 行业成长空间, 政策支持, 股价波动风险, trading suggestion, risk review, data validation, or evidence-based stock decision support. |
A-Share Stock Analysis
Route A-share market questions through a staged workflow: identify the task, validate data, analyze evidence, then produce decision support with explicit risk controls.
First Rule
Do not load the whole suite by default. Read only the workflow and reference files needed for the current stage. If live market, news, policy, exchange rule, index constituent, or corporate event data is needed, verify it with current sources before relying on it.
If the user asks for value factors, quality factors, financial health, profit trend, cash-flow direction, 1-month main-fund flow, volume ratio, turnover, order imbalance, industry growth, policy support, or volatility risks, load references/five-factor-stock-selection.md with the relevant workflow.
For every individual-company analysis or material holding review, use industry-panorama-cognition when available; otherwise load references/industry-panorama-template.md. Include an 行业全景认知 section unless the user explicitly asks for a very short answer.
Safety Boundary
This skill produces decision support, not guaranteed investment advice. Always separate:
- evidence: observed data and cited sources
- inference: what the evidence may imply
- uncertainty: missing data, conflicting signals, timing risk
- suggestion: watch, hold, add, reduce, avoid, or conditional action
- invalidation: what would prove the thesis wrong
Never present a buy or sell suggestion without risk controls.
Router
| User intent | Read first | Also read when needed |
|---|
| Find, collect, or inspect A-share data sources | workflows/data-discovery/WORKFLOW.md | references/data-sources.md |
| Check whether market or holdings data is trustworthy | workflows/data-validation/WORKFLOW.md | references/validation-checklist.md, references/output-schemas.md |
| Discover market hotspots, sector themes, main lines, 涨停/成交额/资金主线 | workflows/market-hotspots/WORKFLOW.md | references/a-share-domain.md, references/data-sources.md |
| Analyze broad market conditions, indices, sentiment, liquidity, risk appetite | workflows/market-analysis/WORKFLOW.md | references/a-share-domain.md, references/risk-policy.md |
| Analyze one stock or a watchlist | workflows/stock-analysis/WORKFLOW.md | references/industry-panorama-template.md, references/output-schemas.md, references/risk-policy.md, references/five-factor-stock-selection.md when the user asks for value/quality/fund-flow/policy/risk review |
| Review user-provided holdings or portfolio | workflows/portfolio-review/WORKFLOW.md | references/industry-panorama-template.md, references/output-schemas.md, references/risk-policy.md, references/five-factor-stock-selection.md for operation analysis of material positions |
| Validate trade signals or simulated broker instruction files | workflows/signal-quality-gate/WORKFLOW.md | references/trading-signal-schema.md, references/output-schemas.md |
| Produce final operation suggestions | workflows/recommendation/WORKFLOW.md | references/risk-policy.md, relevant report template |
If the request spans multiple stages, run them in this order:
- Data discovery
- Data validation
- Market hotspot or market analysis
- Five-factor review when the request mentions value/quality, basic financial base, capital behavior, growth/policy, or risk avoidance
- Stock, portfolio, or signal analysis with industry-panorama cognition for each material company
- Recommendation
Input Contract
Ask for missing inputs only when the answer would otherwise be unsafe or empty. Use reasonable defaults for non-critical details and state them.
Minimum useful inputs:
- analysis date and market session
- market scope or stock tickers
- available files, sources, or APIs
- horizon: intraday, swing, medium-term, long-term
- for holdings: ticker, name, shares or weight, cost basis if available
Output Defaults
Use the user's language. For Chinese users, default to Simplified Chinese. Prefer concise tables plus short interpretation.
Every final analysis should include:
- data coverage and freshness
- core conclusion
- industry panorama cognition for individual stocks or material holdings
- five-factor evidence summary when applicable
- evidence table
- risks and contradictory signals
- next checks
- conditional suggestion with invalidation line
Bundled Tools
scripts/validate_holdings_csv.py: validate holdings CSV columns and basic numeric fields.scripts/validate_market_dataset.py: validate common market dataset fields, dates, duplicates, and missing values.scripts/validate_trade_signals.py: validate A-share trade-signal CSV files, duplicate signal IDs, lot sizes, directions, prices, and timestamps.
