A股黑天鹅预警/极端事件分析。当用户说"黑天鹅"、"black swan"、"极端事件"、"尾部事件"、"灰犀牛"、"突发风险"、"系统崩溃"时触发。基于 cn-stock-data 获取数据,监控与预警潜在的黑天鹅事件。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-black-swan --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: a-share-black-swan
description: A股黑天鹅预警/极端事件分析。当用户说"黑天鹅"、"black swan"、"极端事件"、"尾部事件"、"灰犀牛"、"突发风险"、"系统崩溃"时触发。基于 cn-stock-data 获取数据,监控与预警潜在的黑天鹅事件。支持 formal/brief 两种输出风格。
---
# 黑天鹅预警/极端事件分析助手
## 数据获取
通过 cn-stock-data skill 获取数据:
- **市场数据**: 指数/波动率/成交量
- **资金数据**: 融资/北向/ETF申赎
- **另类数据**: 新闻情绪/社交媒体
## 分析工作流
### Step 1: 预警指标监控
- 波动率飙升:VIX类指标突破历史高位
- 流动性枯竭:成交量骤降/价差急剧扩大
- 相关性突变:资产间相关性突然趋向1
- 资金异常:北向资金大幅流出/融资盘强平
### Step 2: 历史黑天鹅复盘
- 2015.6-8 股灾:杠杆崩塌+流动性危机
- 2016.1 熔断:恐慌+制度缺陷
- 2018.2 全球波动率风暴:VIX爆仓
- 2020.3 疫情冲击:全球流动性危机
### Step 3: 灰犀牛识别
- 房地产风险:房企债务/销售数据恶化
- 地方债务:城投债利差异常扩大
- 中美关系:贸易/科技制裁升级
- 监管政策:突发性行业整顿(如教培/互联网)
### Step 4: 应对预案
- 预警触发→自动降仓至50%以下
- 极端预警→全面对冲或清仓
- 保持10-20%现金作为安全垫
- OTM Put保护:常态化配置尾部保险
### Step 5: 输出报告
## 输出格式
### formal 风格(研报级)
```
# 黑天鹅预警报告
## 一、预警指标
| 指标 | 数值 | 分位数 | 状态 |
|------|------|--------|------|
## 二、灰犀牛监控
[潜在风险事件评估]
## 三、历史对标
[与历史黑天鹅事件的相似度]
## 四、应对预案
[当前建议的防御措施]
```
### brief 风格(快速分析)
```
## 黑天鹅预警速览
- 波动率P45,正常
- 流动性充足,无异常
- 灰犀牛:房地产风险中等关注
- 状态:绿色,无需特别防御
```
参考 `references/black-swan-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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