china-sector-overview
The china-sector-overview skill generates comprehensive reports on Chinese A-share industries and sectors, delivering analysis of market size, competitive positioning, regulatory environment, key listed players, trading multiples, and emerging trends. Use this skill when analyzing specific A-share sectors like liquor, semiconductors, or new energy vehicles, requiring detailed competitive benchmarking, financial metrics across peer companies, and thematic investment context for the Chinese equity market.
git clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cn /tmp/china-sector-overview && cp -r /tmp/china-sector-overview/agent-plugins/china-market-researcher/skills/china-sector-overview ~/.claude/skills/china-sector-overviewSKILL.md
# china-sector-overview
## Purpose
Create comprehensive **A股行业/板块深度报告** covering market dynamics, competitive positioning, regulatory environment, key players, trading multiples, and thematic trends.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="白酒") → 板块成分股
get_quote(ticker) → 个股行情、估值
get_financials(ticker, "income") → 财务数据对比
get_index_data("000001") → 大盘基准
# News (china-news MCP — separate server)
get_stock_news(ticker="{{TICKER}}") → 行业新闻
get_market_overview() → 涨幅榜/成交额榜
```
### Secondary Sources
| Source | Use |
|--------|-----|
| 东方财富行业板块 | Industry classification, sector indices |
| 巨潮资讯 | Company filings for competitive analysis |
| 国家统计局 / 海关总署 | Macro data (industry output, trade) |
| 行业协会 (中汽协, 硅业分会, etc.) | Sector-specific statistics |
| Wind / Choice / 同花顺 | Comprehensive sector data |
| 券商研报 | Analyst consensus and frameworks |
## Workflow
### Step 1: Define Scope & Angle
**Clarify:**
- Sector / industry focus (e.g., 白酒, 半导体, 新能源汽车)
- Angle (e.g., investment theme, competitive analysis, turnaround story)
- Geographic scope (A-share only, or include HK-listed / US-listed Chinese)
- Time horizon (cyclical analysis, secular trends, near-term trade)
### Step 2: Market Size & Structure
**Industry overview:**
| Metric | Data | Source |
|--------|------|--------|
| Total market size | 市场规模 (亿元/亿元) | 国家统计局, 行业协会 |
| Growth rate | 同比增速 / CAGR | Historical data |
| Market share | CR5, CR10 concentration | Company filings |
| Penetration rate | For new industries | Industry reports |
| Export/import | 进出口数据 | 海关总署 |
**A-share representation:**
- Number of listed companies in sector
- Total market cap (总市值 / 流通市值)
- Average PE / PB multiples
- Liquidity (average daily turnover)
### Step 3: Competitive Landscape
**Peer mapping:**
```python
# Get all stocks in an industry
get_industry_stocks(industry="白酒")
```
**For each major player, pull:**
```python
get_quote(ticker) → Price, market cap, multiples
get_financials(ticker) → Revenue, margins, growth
get_stock_info(ticker) → Business description
```
**Competitive analysis table:**
| Company | Ticker | Market Cap (亿) | Revenue (亿) | YoY Growth | Gross Margin | Net Margin | PE (TTM) | Market Share |
|---------|--------|----------------|-------------|------------|-------------|------------|----------|-------------|
| | | | | | | | | |
**Competitive positioning:**
- Market share trends (gaining or losing)
- Product positioning (premium, mid-tier, mass market)
- Geographic footprint (national vs regional)
- Distribution strength (渠道能力)
- Brand equity (品牌力)
### Step 4: Trading Multiples & Valuation
**Sector multiples:**
| Metric | Current | 1Y High | 1Y Low | 5Y Average | Historical High | Historical Low |
|--------|---------|---------|--------|------------|----------------|----------------|
| Average PE | | | | | | |
| Average PB | | | | | | |
| Average PS | | | | | | |
| EV/EBITDA | | | | | | |
**Multiple dispersion:**
- Premium names (high multiple vs sector)
- Value names (low multiple vs sector)
- Historical range and where we are in cycle
### Step 5: Policy Environment
**China-specific policy analysis:**
| Policy Area | Current Status | Impact |
|-------------|---------------|--------|
| 产业政策 | 支持/限制/中性 | Direct sector impact |
| 环保政策 | 双碳目标 | Cost structure impact |
| 监管政策 | 集采/反垄断 | Margin / market share impact |
| 补贴政策 | 新能源/半导体补贴 | Competitiveness impact |
| 货币政策 | 宽松/中性/紧缩 | Financing cost impact |
**Key regulatory bodies:**
- 发改委 (NDRC) — industrial policy, pricing
- 工信部 (MIIT) — manufacturing, tech, telecom
- 生态环境部 (MEE) — environmental compliance
- 卫健委 (NHC) — healthcare, pharmaceuticals
- 证监会 (CSRC) — capital markets
- 央行 (PBoC) — monetary policy
### Step 6: Key Drivers & Trends
**Secular trends (3-5 year):**
- Technology adoption (技术替代)
- Consumption upgrade/downgrade (消费升级/降级)
- Demographic shifts (人口结构)
- Supply chain localization (供应链国产化)
- Environmental transition (双碳/ESG)
**Cyclical factors:**
- Inventory cycles (库存周期)
- Capacity utilization (产能利用率)
- Pricing trends (价格趋势)
- Demand momentum (需求 momentum)
### Step 7: Investment Themes
**Thematic angles:**
1. **Policy-driven**: 国产替代, 新基建, 乡村振兴
2. **Demand-driven**: 消费升级, 老龄化, 出海
3. **Supply-driven**: 产能出清, 行业整合, 龙头集中
4. **Technology-driven**: AI应用, 新能源, 生物医药创新
**For each theme:**
- Investment thesis
- Key names to express the theme
- Timeline and catalysts
- Risks and headwinds
### Step 8: Trading Ideas
**Ideas shortlist (from sector overview):**
| Idea | Ticker | Direction | Thesis | Catalyst | Risk |
|------|--------|-----------|--------|----------|------|
| | | Long / Short | | | |
### Step 9: Report Structure
**Standard A-share sector overview format:**
```
【XX证券】[行业] 深度报告:[标题]
一、行业概述
市场规模、增速、发展阶段
二、竞争格局
主要玩家、市场份额、竞争要素
三、政策环境
监管框架、产业政策、影响分析
四、财务分析
行业盈利能力、ROE、杠杆水平
五、估值分析
当前 multiples vs 历史 vs 国际对标
六、核心驱动因素
长期趋势、短期催化、周期位置
七、投资建议
重点标的、目标价、评级
八、风险提示
政策风险、需求风险、竞争风险
```
## China-Specific Considerations
### A-share Market Structure
| Feature | Description | Implication |
|---------|-------------|-------------|
| 涨跌停限制 | ±10% (main), ±20% (创业板/科创板) | Price discovery slower |
| 散户占比高 | Retail ~60-80% of turnover | More sentiment-driven |
| 政策驱动 | Government announcements move markets | Monitor policy closely |
| 板块轮动 | Sector rotation common | Timing important |
| 北向资金 | Foreign inflows tracked daily | Sentiment indicator |
### Industry Classification
**Common sector classifications:**
- 申万行业分类 (SW Industry) — most widely used
- 中信行业分类 (CITIC) — alternative
- 证监会行业分类 — regulatory standard
- 东方财富行业 — data vendor specific
**Use `get_industry_stocks(industry="...")` with Chinese industry names.**
### Sector-Specific Metrics
| Sector | Key Metrics |
|--------|-------------|
| 白酒 | 批价, 库存, 回款, 动销, 渠道库存 |
| 半导体 | 产能利用率, 出货量, ASP, 库存天数 |Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.
Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".
Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".
Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".
Track upcoming catalysts for A-share coverage universe — earnings dates, regulatory announcements, sector conferences, product launches, and policy events relevant to Chinese equities. Adapted from the original catalyst-calendar skill for A-share market conventions. Triggers on "A股催化剂日历", "事件日历", "财报日历", "earnings calendar A-share", "upcoming catalysts China", or "what's coming up for [company]".
Clean and normalize A-share financial data for modeling. Adapts the original clean-data-xls skill for Chinese financial statements, CAS conventions, and A-share data formats. Triggers on "A股数据清洗", "财务数据清洗", "clean financial data China", "数据清洗", or "normalize financial statements".
Comparable company analysis for A-share equities. Adapts the original comps-analysis skill for Chinese market data sources, A-share trading multiples, and domestic peer selection. Triggers on "A股可比公司", "可比分析", "comps China", "peer comparison A-share", "可比公司分析", or "trading comps [industry]".
Comparable company analysis for A-share stocks. Uses AkShare MCP to build peer groups, pull financial data, compute valuation multiples (PE, PB, PS), and assess relative value within a Chinese industry sector.