A股暗池/大宗交易策略。当用户说"暗池"、"dark pool"、"大宗交易"、"大宗减持"、"盘后大宗"、"协议转让"、"大宗折价"时触发。基于 cn-stock-data 获取数据,分析大宗交易机会与策略。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-dark-pool --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: a-share-dark-pool
description: A股暗池/大宗交易策略。当用户说"暗池"、"dark pool"、"大宗交易"、"大宗减持"、"盘后大宗"、"协议转让"、"大宗折价"时触发。基于 cn-stock-data 获取数据,分析大宗交易机会与策略。支持 formal/brief 两种输出风格。
---
# 暗池/大宗交易策略助手
## 数据获取
通过 cn-stock-data skill 获取数据:
- **大宗交易数据**: 成交价/量/买卖方营业部
- **日线数据**: 收盘价/成交量
- **股东数据**: 减持公告/限售解禁
## 分析工作流
### Step 1: 大宗交易分析
- 大宗成交价 vs 收盘价的折溢价率
- 大宗成交量占日成交量的比例
- 买卖方营业部识别:机构/游资/产业资本
- 连续大宗交易的累计规模与方向
### Step 2: 折价信号解读
- 折价<5%:正常减持,影响有限
- 折价5-10%:较大抛压,短期承压
- 折价>10%:可能存在特殊原因(质押/纠纷)
- 溢价大宗:机构抢筹信号,偏正面
### Step 3: 大宗交易策略
- 接盘策略:折价接大宗,等待价格回归
- 信号策略:大宗方向作为多空信号
- 减持预判:限售解禁前的大宗交易预期
- 配对策略:大宗卖出+二级市场买入的时间差套利
### Step 4: 风险管理
- 锁定期风险:部分大宗有6个月锁定期
- 信息不对称:卖方可能掌握负面信息
- 流动性风险:大宗接盘后的退出难度
- 合规风险:内幕交易/利益输送的合规审查
### Step 5: 输出报告
## 输出格式
### formal 风格(研报级)
```
# [标的] 大宗交易分析报告
## 一、大宗交易概览
| 日期 | 价格 | 折价 | 量(万股) | 买方 |
|------|------|------|---------|------|
## 二、信号解读
[折价原因、买卖方分析]
## 三、策略建议
[接盘/回避建议]
## 四、风险提示
```
### brief 风格(快速分析)
```
## [标的] 大宗速览
- 近5日大宗成交3笔,累计500万股
- 平均折价 -6.5%
- 买方:机构专用席位
- 信号:机构折价接盘,中性偏正面
```
参考 `references/dark-pool-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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