Install
$ agentstack add skill-jwangkun-claude-for-financial-services-cn-china-idea-generation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
china-idea-generation
Purpose
Systematically surface new A股投资机会 through quantitative screens, thematic analysis, and pattern recognition.
Data Sources
Primary: iFind MCP (Tier-1 付费) / AkShare MCP (Tier-2 免费备选)
get_market_overview() → Top gainers, losers, most active
get_quote(ticker) → Price, PE, PB, market cap
get_historical_data(ticker) → Price trends, momentum
get_financials(ticker, "income") → Financial metrics
get_financials(ticker, "balance") → Balance sheet health
get_industry_stocks(industry="...") → Peer comparison
Secondary Screening Data
| Data | Source | Use | |------|--------|-----| | 龙虎榜 (Dragon-Tiger list) | 东方财富 | Unusual activity, institutional interest | | 北向资金 (Northbound flows) | 沪深港通 | Foreign investor sentiment | | 融资融券 (Margin trading) | 交易所 | Leverage and sentiment | | 股东人数变化 | 巨潮 | Institutional accumulation/distribution | | 机构持仓 | 季报/F10 | Fund ownership trends | | 大宗交易 (Block trades) | 交易所 | Smart money signals |
Workflow
Step 1: Define Screen Criteria
Investment philosophy alignment:
- Value vs Growth vs GARP vs Momentum
- Market cap preference (large / mid / small)
- Sector focus or sector-agnostic
- Liquidity requirements (turnover threshold)
- Risk tolerance (volatility, leverage, earnings stability)
Screen parameters (A-share specific):
| Parameter | Typical Range | Notes | |-----------|--------------|-------| | PE (TTM) | 5-50x | Avoid negative PE | | PB | 0.5-5x | 50亿 | Liquidity threshold | | Daily turnover | >5000万 | Tradability | | ROE | >10% | Quality filter | | Debt/Equity | 10% | Growth filter | | EPS growth | >15% | Earnings momentum |
Step 2: Quantitative Screens
Screen 1: Deep Value (深度价值)
Filters:
- PE (TTM) 10% (past 3 years average)
- Debt/Equity 0% (not declining)
- Market cap > 30亿
Output: Value candidates with potential mispricing
Screen 2: Growth at Reasonable Price (GARP)
Filters:
- PEG 20%
- Gross margin > 30%
- ROE > 15%
- Market cap > 100亿
Output: Quality growth at reasonable multiples
Screen 3: Momentum (趋势跟踪)
Filters:
- Price above 20-day MA AND 60-day MA
- Price within 10% of 52-week high
- Volume above 20-day average
- RSI between 40-70 (not overbought)
- Upward earnings revision
Output: Momentum names in uptrends
Screen 4: Turnaround (困境反转)
Filters:
- Recent loss or margin compression
- New management / strategy announced
- Order book recovering
- Debt restructuring completed
- Insiders buying
Output: Potential turnaround candidates
Screen 5: Dividend Yield (高股息)
Filters:
- Dividend yield > 3%
- Payout ratio 30% of equity)
- 应收账款增速 > 收入增速
- 经营现金流持续为负
- 大股东质押比例过高 (>50%)
- 审计意见非标准无保留
- 频繁变更会计师事务所
- 关联交易占比高
### Step 6: Build the Ideas List
**Standard format:**
| Rank | Ticker | Company | Sector | Idea Type | Thesis | Catalyst | Risk | Conviction |
|------|--------|---------|-------|-----------|--------|----------|------|------------|
| {{RANK}} | {{TICKER}} | {{COMPANY_NAME}} | {{SECTOR}} | {{DIRECTION}} | {{THESIS}} | {{CATALYST}} | {{RISK}} | {{CONVICTION}} |
| Example | 600519 | 贵州茅台 | 白酒 | Long | 批价稳+动销旺+分红高 | Q1业绩超预期 | 批价下行 | High |
| 2 | ... | ... | ... | ... | ... | ... | ... | ... |
**Conviction levels:**
- **High**: Strong thesis, clear catalyst, limited downside
- **Medium**: Good thesis, catalyst timeline uncertain
- **Low**: Exploratory, needs more research
### Step 7: Monitor & Update
**Ongoing tracking:**
- Weekly price and news updates
- Catalyst tracking (china-catalyst-calendar)
- Thesis validation / invalidation
- Position sizing recommendations
**Update triggers:**
- Earnings results
- Material news (M&A, guidance, regulation)
- Price moves >15% in a week
- Thesis breaking or confirming
## China-Specific Screening Considerations
### Market Structure
| Feature | Screening Implication |
|---------|----------------------|
| 涨跌停限制 | Momentum may be interrupted |
| 散户占比高 | Sentiment-driven overreactions common |
| 政策敏感 | Regulatory risk premium in certain sectors |
| 北向资金 | Track foreign flows for large-caps |
| 龙虎榜 | Unusual activity signals |
| 停牌 (Trading halt) | Due diligence risk for suspended names |
### Common A-share Investment Styles
| Style | Description | Key Metrics |
|-------|-------------|-------------|
| 价值投资 | Deep value, dividend, asset-based | PB, dividend yield, 破净 |
| 成长投资 | High growth, innovation | Revenue growth, R&D intensity |
| 主题投资 | Policy/trend themes | Catalyst proximity, theme purity |
| 技术分析 | Chart-based trading | 均线, MACD, 量价 |
| 量化策略 | Systematic, factor-based | Multi-factor models |
| 打新 | IPO subscription | 中签率, 涨幅预期 |
### Sector-Specific Screening
| Sector | Screening Focus |
|--------|----------------|
| 白酒 | 批价趋势, 渠道库存, 回款, 品牌力 |
| 半导体 | 产能利用率, 国产替代进度, 技术迭代 |
| 新能源 | 产能过剩/出清, 技术路线, 补贴退坡影响 |
| 医药 | 创新药管线, 集采中标, 国际化 |
| 银行 | NIM趋势, 不良率, 拨备, 估值 (破净) |
| 房地产 | 销售额, 融资能力, 土储质量 |
| 消费 | 动销, 库存, 消费升级/降级趋势 |
## Quality Checks
Before delivering ideas list:
- [ ] Screen criteria documented and reproducible
- [ ] Each candidate has fundamental backing
- [ ] Catalysts identified for each idea
- [ ] Risk factors clearly stated
- [ ] Conviction levels assigned
- [ ] Liquidity verified (tradable)
- [ ] Regulatory/compliance review passed
> **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, wind-only (Wind only), wind-fallback (Wind first, fallback to iFind → AkShare)`: Skip iFind, use AkShare only
## Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- **Author:** [jwangkun](https://github.com/jwangkun)
- **Source:** [jwangkun/claude-for-financial-services-cn](https://github.com/jwangkun/claude-for-financial-services-cn)
- **License:** Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.