A股市场分割/跨市场微结构分析。当用户说"市场分割"、"fragmentation"、"跨市场"、"沪深差异"、"A-H"、"多市场"、"市场割裂"时触发。基于 cn-stock-data 获取数据,分析跨市场微结构差异。支持 formal/brief 两种输出风格。
Scanned 9/7/2026
Install to Claude Code
npx -y skills add aifinlab/FinClaw --skill a-share-fragmentation --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: a-share-fragmentation
description: A股市场分割/跨市场微结构分析。当用户说"市场分割"、"fragmentation"、"跨市场"、"沪深差异"、"A-H"、"多市场"、"市场割裂"时触发。基于 cn-stock-data 获取数据,分析跨市场微结构差异。支持 formal/brief 两种输出风格。
---
# 市场分割/跨市场微结构分析助手
## 数据获取
通过 cn-stock-data skill 获取数据:
- **沪深数据**: 沪市/深市同类股票数据
- **A-H数据**: A股/H股价格对比
- **ETF数据**: 跨市场ETF价格
## 分析工作流
### Step 1: 沪深市场差异
- 交易机制差异:沪市vs深市的微小规则差别
- 流动性差异:同类股票在沪深的流动性对比
- 价差差异:沪深市场的买卖价差对比
- 投资者结构差异:机构/散户占比
### Step 2: A-H市场分割
- A-H溢价指数:A股相对H股的整体溢价
- 个股A-H溢价:各AH股的溢价率
- 溢价的决定因素:流动性/投资者结构/汇率
- 溢价收敛趋势:沪港通后溢价是否收窄
### Step 3: 跨市场价格发现
- Hasbrouck信息份额:A股vs H股的价格发现贡献
- 领先滞后关系:哪个市场先反映信息
- 跨市场套利:A-H溢价的套利机会与限制
- ETF跨市场:沪深300ETF在沪深的价格差异
### Step 4: 市场质量对比
- 波动率对比:沪vs深vs港
- 信息效率对比:方差比检验
- 流动性对比:Amihud指标
- 交易成本对比:综合成本评估
### Step 5: 输出报告
## 输出格式
### formal 风格(研报级)
```
# 跨市场微结构分析报告
## 一、沪深对比
| 指标 | 沪市 | 深市 |
|------|------|------|
## 二、A-H分析
[溢价率、价格发现]
## 三、市场质量
[各市场质量评分]
## 四、套利机会
```
### brief 风格(快速分析)
```
## 跨市场速览
- A-H溢价指数 128,A股整体溢价28%
- 沪深流动性差异不大
- A股价格发现贡献约60%(大盘股)
- A-H套利受限于资金跨境限制
```
参考 `references/fragmentation-guide.md` 获取详细方法论与 A股实证研究。
## 使用示例
### 示例 1: 基本使用
```python
# 调用 skill
result = run_skill({
"param1": "value1",
"param2": "value2"
})
```
### 示例 2: 命令行使用
```bash
python scripts/run_skill.py --input data.json
```
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