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a-share-gap-analysis

Business
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A股跳空缺口分析/缺口策略。当用户说"缺口"、"gap"、"跳空"、"缺口分析"、"缺口回补"、"跳空高开"、"跳空低开"时触发。量化分析跳空缺口特征和交易含义。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-gap-analysis/SKILL.md

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A股跳空缺口分析/缺口策略

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K线数据

Step 2: 识别缺口

  • 向上缺口: 今日最低 > 昨日最高
  • 向下缺口: 今日最高 < 昨日最低

Step 3: 缺口分类

  • 普通缺口（盘整区间内，易回补）
  • 突破缺口（离开整理区间）
  • 持续缺口（趋势中段加速）
  • 衰竭缺口（趋势末端，反转信号）

Step 4: 缺口回补分析

历史上同类缺口的回补概率和回补时间

Step 5: 输出

维度formalbrief
缺口列表历史缺口全表近期缺口
分类缺口类型判断类型+含义
回补统计回补概率+时间是否回补
默认风格：brief。

关键规则

  1. A股缺口回补率较高（约70-80%最终回补）
  2. 突破缺口回补概率最低——最有交易价值
  3. 衰竭缺口是反转信号——需及时止盈/止损
  4. 连续多个缺口通常意味着极端行情
  5. 涨跌停造成的缺口需特殊处理

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