A股商品-股票联动/通胀交易策略。当用户说"商品股票联动"、"通胀交易"、"commodity equity"、"油价影响"、"铜价联动"、"资源股"、"周期股联动"时触发。基于 cn-stock-data 获取数据,分析商品与股票的联动关系。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-commodity-equity --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: a-share-commodity-equity
description: A股商品-股票联动/通胀交易策略。当用户说"商品股票联动"、"通胀交易"、"commodity equity"、"油价影响"、"铜价联动"、"资源股"、"周期股联动"时触发。基于 cn-stock-data 获取数据,分析商品与股票的联动关系。支持 formal/brief 两种输出风格。
---
# 商品-股票联动/通胀交易助手
## 数据获取
通过 cn-stock-data skill 获取数据:
- **商品数据**: 原油/铜/铝/黄金/螺纹钢等
- **股票数据**: 资源/周期板块个股
- **宏观数据**: CPI/PPI/PMI
## 分析工作流
### Step 1: 联动关系分析
- 商品价格与相关股票的相关性
- 领先滞后关系:商品领先股票还是同步
- 弹性系数:商品涨1%对应股票涨幅
- 非线性关系:商品极端涨跌时的股票反应
### Step 2: 通胀传导链
- 上游:原油/铜→PPI→上游资源股
- 中游:钢铁/化工→制造业成本→中游股
- 下游:CPI→消费品提价→下游消费股
- 传导时滞:通常1-3个月
### Step 3: 交易策略
- 商品动量→股票配置:商品趋势确认后配置相关股票
- 通胀交易组合:做多资源股+做空高估值成长股
- 商品-股票价差回归:偏离历史均值时的均值回归
- 对冲策略:持有资源股+做空商品期货
### Step 4: A股特色联动
- 螺纹钢→钢铁股/建材股
- 铜价→紫金矿业/江西铜业
- 油价→中国石油/中国石化/油服股
- 黄金→山东黄金/紫金矿业/黄金ETF
### Step 5: 输出报告
## 输出格式
### formal 风格(研报级)
```
# 商品-股票联动分析报告
## 一、联动关系
| 商品 | 相关股票 | 相关性 | 弹性 |
|------|---------|--------|------|
## 二、通胀传导
[当前传导阶段]
## 三、交易信号
[商品趋势→股票配置建议]
## 四、风险提示
```
### brief 风格(快速分析)
```
## 商品-股票联动速览
- 铜价近20日涨 +5%,弹性系数1.2
- 紫金矿业预期涨幅 +6%
- PPI回升,上游资源股受益
- 建议:超配有色/石化板块
```
参考 `references/commodity-equity-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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