---
name: akshare-options-155056976467
description: "期权数据Skill - 提供ETF期权、股指期权行情、隐含波动率、PCR情绪指标、希腊字母 via AkShare/交易所"
metadata:
  openclaw:
    requires:
      bins: ["python3"]
    install:
      - id: python-packages
        kind: pip
        packages: ["akshare", "pandas", "numpy", "pyyaml"]
---

# SKILL.md - akshare-options

## 技能信息

| 属性 | 内容 |
|:---|:---|
| **名称** | akshare-options |
| **版本** | 1.1.0 |
| **分类** | 期权数据 |
| **状态** | ✅ 已上线 |
| **维护者** | FinClaw Core Team |
| **最后更新** | 2026-03-19 |

## 功能描述

期权数据Skill，提供ETF期权（50ETF/300ETF/500ETF）、股指期权（沪深300/中证1000）的实时行情、隐含波动率（IV）、希腊字母（Greeks）、PCR情绪指标等。支持期权链分析和波动率曲面监控。

## 触发意图

### 主要触发词
- "期权"、"50ETF期权"、"300ETF期权"
- "隐含波动率"、"IV"、"波动率"
- "PCR"、"Put-Call Ratio"
- "看涨期权"、"看跌期权"、"认购"、"认沽"
- " Greeks"、"Delta"、"Gamma"、"Theta"

### Few-shot 示例

| 用户输入 | 识别意图 | 调用函数 |
|:---|:---|:---|
| 50ETF期权行情 | option_quote | option_quote.py 50ETF |
| 隐含波动率多少？ | option_iv | option_volatility.py |
| PCR指标怎么样？ | option_pcr | option_pcr.py |
| 期权希腊字母 | option_greeks | option_greeks.py |
| 沪深300股指期权 | option_index | option_quote.py IO |

## 数据源配置

| 数据类型 | 主要来源 | 备用来源 | 认证要求 |
|:---|:---|:---|:---:|
| ETF期权行情 | AkShare-上交所/深交所 | - | 无需 |
| 股指期权行情 | AkShare-中金所 | - | 无需 |
| 隐含波动率 | AkShare计算 | - | 无需 |
| PCR指标 | AkShare-交易所 | - | 无需 |

## 支持的期权品种

| 品种 | 代码 | 交易所 | 标的 |
|:---|:---|:---|:---|
| 华夏上证50ETF期权 | 50ETF | 上交所 | 510050 |
| 华泰柏瑞沪深300ETF期权 | 300ETF | 上交所 | 510300 |
| 南方中证500ETF期权 | 500ETF | 上交所 | 510500 |
| 华夏科创50ETF期权 | 科创板50 | 上交所 | 588000 |
| 嘉实沪深300ETF期权 | 沪深300ETF | 深交所 | 159919 |
| 创业板ETF期权 | 创业板ETF | 深交所 | 159915 |
| 深证100ETF期权 | 深证100ETF | 深交所 | 159901 |
| 沪深300股指期权 | IO | 中金所 | 沪深300指数 |
| 中证1000股指期权 | MO | 中金所 | 中证1000指数 |
| 上证50股指期权 | HO | 中金所 | 上证50指数 |

## 功能列表

### 1. 期权行情数据
- **功能描述**: 获取ETF期权或股指期权的实时行情
- **输入参数**: 期权品种代码（50ETF/300ETF/500ETF/IO/MO）
- **输出格式**: Markdown表格（最新价、涨跌、成交量等）
- **数据源**: AkShare-交易所
- **数据时效**: 实时（交易时间内）
- **使用示例**:
  ```bash
  python scripts/option_quote.py 50ETF   # 50ETF期权
  python scripts/option_quote.py 300ETF  # 300ETF期权
  python scripts/option_quote.py IO      # 沪深300股指期权
  ```

### 2. 隐含波动率分析
- **功能描述**: 获取期权隐含波动率（IV）数据
- **输入参数**: 期权品种
- **输出格式**: Markdown报告（IV分位值、历史对比）
- **数据源**: AkShare计算
- **数据时效**: 实时
- **使用示例**:
  ```bash
  python scripts/option_volatility.py
  python scripts/option_volatility.py 300ETF
  ```

### 3. 希腊字母监控
- **功能描述**: 获取期权的希腊字母（Greeks）数据
- **输入参数**: 期权合约代码
- **输出格式**: Markdown表格（Delta/Gamma/Theta/Vega）
- **数据源**: AkShare计算
- **数据时效**: 实时
- **使用示例**:
  ```bash
  python scripts/option_greeks.py
  python scripts/option_greeks.py 510300C2500M1
  ```

### 4. PCR情绪指标
- **功能描述**: 计算Put-Call Ratio，判断市场情绪
- **输入参数**: 期权品种
- **输出格式**: 数值 + 情绪解读
- **数据源**: AkShare-交易所
- **数据时效**: 实时
- **使用示例**:
  ```bash
  python scripts/option_pcr.py
  python scripts/option_pcr.py 50ETF
  ```

### 5. 期权链分析
- **功能描述**: 获取特定期权的完整期权链（各行权价合约）
- **输入参数**: 期权品种代码
- **输出格式**: Markdown表格
- **数据源**: AkShare-交易所
- **数据时效**: 实时
- **使用示例**:
  ```bash
  python scripts/option_chain.py 300ETF
  ```

## 脚本清单

| 脚本名 | 功能 | 入口点 |
|:---|:---|:---:|
| option_quote.py | 期权行情数据 | ✅ |
| option_volatility.py | 隐含波动率分析 | ✅ |
| option_greeks.py | 希腊字母监控 | ✅ |
| option_pcr.py | PCR情绪指标 | ✅ |
| option_chain.py | 期权链分析 | ✅ |

## 核心指标解读

### 隐含波动率(IV)
| IV水平 | 市场含义 | 交易策略 |
|:---|:---|:---|
| IV > 80%分位 | 市场恐慌，期权价格贵 | 适合卖方（卖期权） |
| IV 20-80%分位 | 正常波动 | 视情况而定 |
| IV < 20%分位 | 市场平静，期权便宜 | 适合买方（买期权） |

### PCR(Put-Call Ratio)情绪指标
| PCR值 | 市场情绪 | 反向信号 |
|:---:|:---|:---|
| > 1.2 | 极度恐慌，看跌情绪浓厚 | 可能见底，反弹机会 |
| 0.8-1.2 | 中性偏谨慎 | 观望 |
| 0.5-0.8 | 中性偏乐观 | 观望 |
| < 0.5 | 极度乐观，看涨情绪浓厚 | 可能见顶，回调风险 |

### 希腊字母(Greeks)
| 希腊字母 | 含义 | 应用 |
|:---|:---|:---|
| **Delta** | 标的价格变动1元，期权价格变动多少 | 衡量方向风险 |
| **Gamma** | Delta的变化速度 | 衡量Delta风险 |
| **Theta** | 时间每天流逝，期权价值减少多少 | 衡量时间损耗 |
| **Vega** | 波动率变化1%，期权价格变化多少 | 衡量波动率风险 |
| **Rho** | 利率变化对期权价格的影响 | 长期期权关注 |

## 期权交易基础

### 期权类型
| 类型 | 权利 | 适用场景 |
|:---|:---|:---|
| **认购期权(Call)** | 以行权价买入标的的权利 | 看涨市场 |
| **认沽期权(Put)** | 以行权价卖出标的的权利 | 看跌市场 |

### 交易方向
| 操作 | 预期 | 风险收益 |
|:---|:---|:---|
| **买入认购** | 看涨 | 亏损有限（权利金），盈利无限 |
| **买入认沽** | 看跌 | 亏损有限（权利金），盈利有限 |
| **卖出认购** | 看不涨/震荡 | 盈利有限（权利金），亏损无限 |
| **卖出认沽** | 看不跌/震荡 | 盈利有限（权利金），亏损有限 |

## 数据来源标注规范

本Skill所有输出数据将按以下格式标注来源：

```markdown
---
📊 **数据来源**: 上交所/深交所/中金所 via AkShare
⏱️ **数据时间**: 2026-03-19 10:30:15
📌 **期权品种**: 50ETF期权
📌 **到期月份**: 2026年4月
🔗 **交易所**: 上海证券交易所
🔧 **分析工具**: FinClaw v1.0
⚠️ **风险提示**: 期权交易风险高，可能导致本金全部损失
```

## 依赖要求

```
akshare>=1.10.0
pandas>=1.3.0
numpy>=1.21.0
pyyaml>=5.4.0
```

## 交易时间

| 交易所 | 时间 |
|:---|:---|
| 上交所期权 | 09:30-11:30, 13:00-15:00 |
| 深交所期权 | 09:15-11:30, 13:00-15:00 |
| 中金所股指期权 | 09:30-11:30, 13:00-15:00 |

## 性能指标

| 指标 | 目标值 | 当前值 |
|:---|:---:|:---:|
| 行情延迟 | < 1s | ~500ms |
| 数据可用性 | > 95% | 98% |
| IV计算准确率 | > 90% | 95% |

## 更新日志

| 版本 | 日期 | 变更内容 |
|:---|:---:|:---|
| 1.1.0 | 2026-03-19 | 符合FinClaw数据规范v1.0，新增 Greeks 解读 |
| 1.0.0 | 2026-03-13 | 初始版本 |

## 相关链接

- AkShare文档: https://www.akshare.xyz
- 上交所期权: http://www.sse.com.cn/assortment/options/
- 深交所期权: http://www.szse.cn/market/option/
- 中金所期权: http://www.cffex.com.cn/options/
- FinClaw数据规范: `finclaw/config/data_source_config.yaml`

---

*本Skill遵循 FinClaw 数据规范 v1.0 | 数据来源强制标注 | 禁止训练数据编造*


---
Source attribution: aifinlab
Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/akshare-options/SKILL.md
License: Apache-2.0
License information: https://www.apache.org/licenses/LICENSE-2.0
Original upstream instructions; downloaded from Mega AI Hub.

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# Mega AI Hub resource metadata

Creator / publisher: aifinlab
Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/akshare-options/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Finance & Accounting, Sales
Roles: Accountant, Business Development, CFO / FP&A, Data Analyst, Financial Analyst
Specialties: API, Backend
Tools: Akshare, Numpy, Pandas, Pyyaml
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 023090937630b84c3c059cf2c2a40b997bcb3cc4d090c1e818cdba4ee5b1fbb3
