A股跨资产配置/大类资产轮动策略。当用户说"跨资产"、"大类资产"、"资产配置"、"asset allocation"、"股债轮动"、"股债商"、"美林时钟"时触发。基于 cn-stock-data 获取数据,进行跨资产配置分析。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-cross-asset --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: a-share-cross-asset
description: A股跨资产配置/大类资产轮动策略。当用户说"跨资产"、"大类资产"、"资产配置"、"asset allocation"、"股债轮动"、"股债商"、"美林时钟"时触发。基于 cn-stock-data 获取数据,进行跨资产配置分析。支持 formal/brief 两种输出风格。
---
# 跨资产配置/大类资产轮动助手
## 数据获取
通过 cn-stock-data skill 获取数据:
- **股票指数**: 沪深300/中证500等
- **债券数据**: 国债收益率/信用利差
- **商品数据**: 黄金/原油/铜等
- **宏观数据**: GDP/CPI/PMI/M2
## 分析工作流
### Step 1: 宏观周期定位
- 美林时钟:复苏→过热→滞胀→衰退
- 中国版时钟:信用周期+经济周期双维度
- 领先指标:PMI/社融/M2增速
- 当前周期阶段判断
### Step 2: 资产表现分析
- 各资产近期收益与波动率
- 资产间相关性矩阵
- 风险调整收益(Sharpe)排名
- 动量信号:各资产趋势方向
### Step 3: 配置方案
- 战略配置:基于长期均衡的基准权重
- 战术调整:基于周期阶段的偏离
- 风险平价:按风险贡献均等配置
- Black-Litterman:融合主观观点与市场均衡
### Step 4: 再平衡与风控
- 再平衡触发:偏离阈值或定期再平衡
- 下行保护:CPPI/期权保护策略
- 流动性管理:保持足够现金应对赎回
- 压力测试:极端场景下的组合表现
### Step 5: 输出报告
## 输出格式
### formal 风格(研报级)
```
# 跨资产配置报告
## 一、宏观周期
| 指标 | 数值 | 信号 |
|------|------|------|
## 二、资产表现
[各资产收益/波动/Sharpe]
## 三、配置建议
[各资产权重与调整方向]
## 四、风险评估
```
### brief 风格(快速分析)
```
## 跨资产速览
- 当前周期:复苏早期
- 建议:超配股票(50%)、标配债券(30%)、低配商品(10%)、现金(10%)
- 股债相关性 -0.2,分散化有效
- 关注:CPI回升可能触发周期切换
```
参考 `references/cross-asset-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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