A股午间效应/午盘策略分析。当用户说"午间效应"、"午盘"、"午休"、"lunch effect"、"午盘开盘"、"11:30"、"13:00"、"中午休市"时触发。基于 cn-stock-data 获取数据,分析午间休市效应、午盘开盘特征、午盘交易策略。支持 formal/brief 两种输出风格。
Scanned 9/7/2026
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---
name: a-share-lunch-effect
description: A股午间效应/午盘策略分析。当用户说"午间效应"、"午盘"、"午休"、"lunch effect"、"午盘开盘"、"11:30"、"13:00"、"中午休市"时触发。基于 cn-stock-data 获取数据,分析午间休市效应、午盘开盘特征、午盘交易策略。支持 formal/brief 两种输出风格。
---
# 午间效应/午盘策略分析助手
## 数据获取
通过 cn-stock-data skill 获取数据:
- **分钟K线**: 11:00-14:00区间的分钟线
- **实时行情**: 午盘开盘实时数据
- **消息面**: 午间发布的新闻/公告
## 分析工作流
### Step 1: 午间休市效应分析
- 上午收盘价 vs 下午开盘价的跳空统计
- 午间信息到达:午间发布的新闻/研报/数据
- 午间情绪变化:散户午间讨论/社交媒体情绪
- A股特有:11:30-13:00 的 1.5 小时休市
### Step 2: 午盘开盘特征
- 13:00开盘的成交量脉冲:通常低于早盘开盘
- 午盘方向延续 vs 反转的概率统计
- 上午强势股午盘表现:惯性 vs 获利了结
- 上午弱势股午盘表现:继续下跌 vs 抄底反弹
### Step 3: 午盘交易策略
- 午盘动量:上午涨幅>2%的股票午盘继续上涨概率
- 午盘反转:上午涨幅过大(>5%)的午盘回调概率
- 午盘突破:上午横盘整理的股票午盘突破信号
- 最优入场时点:13:00-13:15 vs 13:15-13:30
### Step 4: 午间信息利用
- 午间公告快速解读与交易决策
- 午间北向资金流向变化
- 午间期货市场(商品/股指)走势参考
- 港股午间走势对A股午盘的领先指引
### Step 5: 输出报告
## 输出格式
### formal 风格(研报级)
```
# [标的/市场] 午间效应分析报告
## 一、午间跳空
| 指标 | 数值 |
|------|------|
| 上午收盘 | 25.30 |
| 午盘开盘 | 25.35 |
## 二、午盘特征
[方向延续/反转概率]
## 三、午间信息
[午间公告/消息汇总]
## 四、午盘策略建议
```
### brief 风格(快速分析)
```
## [标的] 午盘速览
- 上午涨 +1.5%,午间微幅高开
- 午盘延续概率 55%
- 午间无重大公告
- 建议:观察13:15确认方向
```
参考 `references/lunch-effect-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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