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a-share-margin-trading

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A股融资融券/两融分析。当用户说"融资融券"、"两融"、"融资余额"、"融券"、"margin trading"、"杠杆资金"、"融资盘"、"XX的融资余额"、"两融风向"、"杠杆水平"时触发。基于 akshare 融资融券数据和 cn-stock-data 行情数据,分析全市场两融趋势、个股融资融券变化、杠杆资金方向判断。支持研报风格(formal)和快速解读风格(brief)。不适用于北向资金(用 a-share-northbound)或基金持仓(用 a-share-fund-holding)。

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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-margin-trading/SKILL.md

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A股融资融券分析助手

数据源

# 融资融券数据(通过 akshare)
# 全市场融资融券汇总
python -c "import akshare as ak; df=ak.stock_margin_sse(start_date='20260101'); print(df.to_json(orient='records', force_ascii=False))"

# 个股融资融券明细
python -c "import akshare as ak; df=ak.stock_margin_detail_sse(date='20260315'); print(df.to_json(orient='records', force_ascii=False))"

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

akshare 接口名可能随版本变化,如接口不可用,通过 web 搜索获取融资融券数据。

Workflow

Step 1: 确定分析模式

  • 全市场两融趋势分析:大盘融资余额走势、杠杆水平变化
  • 个股融资融券分析:单只股票的两融数据变动
  • 行业板块两融对比:多只标的横向比较

Step 2: 数据获取

获取融资余额/融券余额时间序列 + 个股行情数据。

Step 3: 趋势分析

  • 融资余额变化趋势(环比/同比)
  • 融资买入额 vs 融资偿还额(净买入方向)
  • 融券卖出量变化(做空力量)
  • 两融余额占流通市值比(杠杆水平)

Step 4: 信号研判

  • 融资余额与大盘走势的相关性
  • 融资余额创新高/新低的信号含义
  • 个股融资余额异常变动(突增/骤降)
  • 融券余额上升 = 做空力量增强

Step 5: 输出

风格

维度formalbrief
输出完整两融分析报告快速要点
时间跨度3-6个月趋势近1-2周变化
分析深度市场+行业+个股三层仅关注核心方向
图表融资余额走势图数据无

关键规则

  1. 融资余额上升不等于看多(可能是杠杆加仓后的风险累积)
  2. 融资融券数据为 T+1 披露
  3. 两融标的有限制(不是所有股票都可融资融券)
  4. 需结合大盘环境解读(牛市加杠杆 vs 熊市去杠杆)

参考

详见 references/margin-trading-guide.md

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