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a-share-volatility-arb

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A股波动率套利/Vega交易策略。当用户说"波动率套利"、"vol arb"、"Vega交易"、"做多波动率"、"做空波动率"、"波动率交易"、"straddle"、"strangle"时触发。基于 cn-stock-data 获取数据,设计波动率套利策略。支持 formal/brief 两种输出风格。

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How to use this skill

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Source SKILL.md: https://github.com/aifinlab/FinClaw/blob/HEAD/skills/a-share-volatility-arb/SKILL.md

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波动率套利/Vega交易助手

数据获取

通过 cn-stock-data skill 获取数据:

  • 期权数据: 各合约价格与IV
  • 标的行情: 实时价格与历史波动率
  • VIX类指标: 中国波指/iVIX

分析工作流

Step 1: 波动率定价判断

  • IV vs HV(历史波动率):IV偏高→卖波动率
  • IV分位数:当前IV在历史中的位置
  • VRP(方差风险溢价) = IV² - RV²
  • 波动率期限结构:近月vs远月IV关系

Step 2: 策略构建

  • 做多波动率:买入Straddle/Strangle
  • 做空波动率:卖出Straddle/Iron Condor
  • 波动率价差:买近月卖远月(或反向)
  • 偏斜交易:买低IV行权价卖高IV行权价

Step 3: Delta对冲

  • 建仓时Delta中性:调整期权比例
  • 动态对冲:标的价格变动时重新对冲
  • 对冲频率:日度/实时,平衡成本与风险
  • Gamma scalping:利用Gamma正值赚取对冲收益

Step 4: 风险管理

  • 最大亏损控制:设置止损线
  • Vega敞口限制:控制波动率风险暴露
  • 到期风险:临近到期Gamma风险急剧增大
  • 黑天鹅防护:保留少量OTM期权作为保险

Step 5: 输出报告

输出格式

formal 风格(研报级)

# 波动率套利策略报告

## 一、波动率评估
| 指标 | 数值 | 信号 |
|------|------|------|

## 二、策略方案
[具体期权组合、Greeks]

## 三、对冲计划
[Delta对冲方案、频率]

## 四、风险控制
[止损、最大亏损]

brief 风格(快速分析)

## 波动率套利速览
- IV 25% vs HV 20%,IV偏高
- 建议:卖出Straddle,收取权利金
- Delta对冲:日度调整
- 最大亏损控制在权利金的150%

参考 references/volatility-arb-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

# 调用 skill
result = run_skill({
    "param1": "value1",
    "param2": "value2"
})

示例 2: 命令行使用

python scripts/run_skill.py --input data.json