china-deal-screening
The china-deal-screening skill systematically filters and evaluates A-share investment opportunities using Chinese market data sources like iFind and AkShare. Users invoke it to screen Chinese equities across multiple criteria including market capitalization, valuation multiples (P/E, P/B), financial health metrics, profitability ratios, liquidity thresholds, and governance factors, then ranks candidates by quality and value characteristics specific to mainland Chinese stock markets.
git clone --depth 1 https://github.com/jwangkun/claude-for-financial-services-cn /tmp/china-deal-screening && cp -r /tmp/china-deal-screening/agent-plugins/china-model-builder/skills/china-deal-screening ~/.claude/skills/china-deal-screeningSKILL.md
# china-deal-screening
## Purpose
Screen **A股投资标的** — systematic deal screening for Chinese equity investments.
## Data Sources
### Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
```python
get_industry_stocks(industry="...") → Industry universe
get_quote(ticker) → Valuation screening
get_financials(ticker, "income") → Financial screening
get_index_data("000001") → Market context
```
### Secondary Sources
- 东方财富 — stock screener
- 同花顺 iFinD — screening tool
- 巨潮 — company filings
- Wind — professional screening
## Workflow
### Step 1: Define Screening Criteria
**Screening framework:**
| Category | Criteria | Typical Range |
|----------|----------|---------------|
| 市值 (Market cap) | Min/max | ¥50亿 - ¥500亿 |
| 估值 (Valuation) | P/E, P/B | P/E 10-30x |
| 成长 (Growth) | Revenue/earnings growth | >15% YoY |
| 盈利 (Profitability) | ROE, margins | ROE >15% |
| 财务健康 (Financial health) | Debt/equity, current ratio | D/E <60% |
| 流动性 (Liquidity) | Avg daily volume | >¥5000万 |
| 治理 (Governance) | Ownership structure | Clean cap table |
### Step 2: Build Screening Universe
**Universe construction:**
| Filter | Criteria | Source |
|--------|----------|--------|
| A股主板 | 600/000/001开头的6位代码 | AkShare |
| 创业板 | 300开头 | AkShare |
| 科创板 | 688开头 | AkShare |
| 北交所 | 8/9开头 | AkShare |
| ST排除 | Exclude ST/*ST | Filter |
| 次新股 | Exclude <6 months | Filter |
### Step 3: Financial Screening
**Financial metrics:**
| Metric | Formula | Target |
|--------|---------|--------|
| 营业收入增速 | (Revenue - Revenue_prev) / Revenue_prev | >15% |
| 净利润增速 | (NI - NI_prev) / NI_prev | >15% |
| ROE | Net Income / Average Equity | >15% |
| 毛利率 | Gross Profit / Revenue | >30% |
| 净利率 | Net Income / Revenue | >10% |
| 资产负债率 | Total Debt / Total Assets | <60% |
| 经营现金流/净利润 | OCF / Net Income | >0.8 |
### Step 4: Valuation Screening
**Valuation metrics:**
| Metric | Formula | Target |
|--------|---------|--------|
| P/E (TTM) | Price / TTM EPS | 10-30x |
| P/B | Price / BV per share | 1-5x |
| P/S | EV / Revenue | 1-5x |
| EV/EBITDA | EV / EBITDA | 5-15x |
| PEG | P/E / Growth rate | <1.0 |
| 股息率 | Dividend / Price | >2% (if applicable) |
### Step 5: Technical Screening (Optional)
**Technical filters:**
| Indicator | Criteria |
|-----------|----------|
| 股价位置 | Not at 52-week high |
| 均线 | Above key MAs |
| 成交量 | Above average |
| 波动率 | Moderate |
### Step 6: Quality Screening
**Quality filters:**
| Factor | Check |
|--------|-------|
| 审计意见 | Standard unqualified (标准无保留) |
| 管理层 | Stable, experienced |
| 股东结构 | No 质押风险 (pledge risk) |
| 关联交易 | Reasonable level |
| 诉讼/处罚 | No material issues |
### Step 7: Scoring & Ranking
**Scoring model:**
| Category | Weight | Score (1-10) | Weighted |
|----------|--------|-------------|----------|
| 估值吸引力 | 25% | | |
| 成长性 | 20% | | |
| 盈利能力 | 20% | | |
| 财务健康 | 15% | | |
| 质量/治理 | 10% | | |
| 流动性 | 10% | | |
| **Total** | **100%** | | |
**Rank candidates by total score.**
### Step 8: Due Diligence Queue
**Create DD pipeline:**
| Rank | Company | Ticker | Score | Sector | Next Step |
|------|---------|--------|-------|--------|-----------|
| 1 | | | X.X | | Full DD |
| 2 | | | X.X | | Quick scan |
| 3 | | | X.X | | Quick scan |
## Screening Templates
### Template 1: Growth at Reasonable Price (GARP)
| Filter | Criteria |
|--------|----------|
| P/E | 10-25x |
| Revenue growth | >20% |
| ROE | >15% |
| D/E | <50% |
| Market cap | >¥100亿 |
### Template 2: Deep Value
| Filter | Criteria |
|--------|----------|
| P/B | <1.5x |
| Dividend yield | >3% |
| D/E | <40% |
| FCF | Positive |
| Business | Stable, understandable |
### Template 3: Quality Compounder
| Filter | Criteria |
|--------|----------|
| ROE | >20% (3Y avg) |
| Revenue growth | >15% |
| Gross margin | >40% |
| D/E | <40% |
| Market cap | >¥200亿 |
### Template 4: Turnaround Candidate
| Filter | Criteria |
|--------|----------|
| Recent loss | 1-2 years |
| Revenue trough | Near bottom |
| New management | Recent change |
| Restructuring | In progress |
| Industry recovery | Improving |
## China-Specific Screening Considerations
### Market Structure
| Factor | Impact on Screening |
|--------|---------------------|
| 散户主导 | Retail sentiment matters |
| 政策驱动 | Policy changes create opportunities |
| 概念/题材 | Theme investing common |
| 北向资金 | Foreign flows signal quality |
| 机构持仓 | Institutional ownership |
### Common A-share Screening Pitfalls
| Pitfall | Issue | Mitigation |
|---------|-------|-----------|
| 一次性收益 | Distorts growth/earnings | Use 扣非数据 |
| 会计政策 | Aggressive recognition | Check notes |
| 关联交易 | Inflated revenue | Review disclosures |
| 大股东质押 | Pledge risk | Check 质押比例 |
| ST风险 | Delisting risk | Exclude ST stocks |
## Quality Checks
Before finalizing:
- [ ] Criteria well-defined
- [ ] Universe appropriate
- [ ] Data quality verified
- [ ] Scoring model calibrated
- [ ] Top candidates make sense
- [ ] Next steps clear
> **Data Source Mode Switch**: Set env var `IFIND_DATA_SOURCE_MODE` to control data source preference.
> - `ifind-only` (strict): Use iFind only, error if unavailable
> - `ifind-fallback` (default): iFind preferred, fallback to AkShare
> - `akshare-only`: Skip iFind, use AkShare onlyThree-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.