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a-share-turnover-analysis

Business
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A股换手率分析/筹码松动分析。当用户说"换手率"、"turnover"、"筹码"、"换手率异常"、"筹码松动"时触发。量化分析换手率变化含义。支持formal和brief风格。

QUICK START

How to use this skill

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  2. Copy the prompt below and paste it into your agent.
  3. Review the proposed files and risks before you approve installation.
Prompt to paste
I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/aifinlab/FinClaw/blob/HEAD/skills/a-share-turnover-analysis/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/a-share-turnover-analysis/. Do not write files or run scripts until I approve.

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A股换手率分析/筹码松动分析

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K线+换手率数据

Step 2: 换手率统计

  • 当日换手率 vs 历史均值/中位数
  • 换手率Z-score
  • 换手率分位数

Step 3: 量价配合分析

  • 高换手+涨: 活跃看多
  • 高换手+跌: 恐慌/出货
  • 低换手+涨: 控盘/惜售
  • 低换手+跌: 无人问津

Step 4: 输出

维度formalbrief
换手统计完整统计+分布Z-score
量价配合历史模式分析当日模式
默认风格：brief。

关键规则

  1. 换手率比成交量更具可比性（剔除流通盘差异）
  2. 不同板块换手率中枢差异大——需行业内对比
  3. 连续放量换手>15%: 可能是顶部信号
  4. 底部缩量换手<1%: 可能见底
  5. 新股/次新股换手率天然偏高——不可直接对比

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