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a-share-intraday-pattern

Business
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A股日内模式/分时走势量化分析。当用户说"日内模式"、"intraday"、"分时"、"盘中走势"、"几点涨"、"尾盘规律"时触发。量化分析A股日内交易模式。支持formal和brief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-intraday-pattern/SKILL.md

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A股日内模式/分时走势量化分析

数据源

SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq daily --start [日期]
python "$SCRIPTS/cn_stock_data.py" quote --code [CODE]
python "$SCRIPTS/cn_stock_data.py" finance --code [CODE]

Workflow

Step 1: 获取分钟级K线

Step 2: 日内收益率分布

各时段（开盘/早盘/午盘/尾盘）的平均涨跌幅

Step 3: 日内量能分布

各时段成交量占比和变化规律

Step 4: 日内模式识别

  • U型成交量（开盘尾盘放量，盘中缩量）
  • 尾盘效应（最后30分钟异常）
  • 午后效应

Step 5: 输出

维度formalbrief
时段分析各时段详细统计关键时段
量能分布分时量能图U型特征
规律总结历史统计验证今日模式
默认风格：brief。

关键规则

  1. A股开盘30分钟和收盘30分钟波动最大
  2. 集合竞价（9:15-9:25）反映隔夜消息消化
  3. 午后1:00-1:30常有政策/消息发布影响
  4. 尾盘集合竞价（14:57-15:00）可能被操纵
  5. 日内模式在不同市场状态下会变化

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