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ZICXRZICXR/A-Stock-Skills/skills/04-stock-analysis/stock-technical-analysis/SKILL.md

stock-technical-analysis

Skill26 starsChanged 5 months agoMITView on GitHub

A 股个股技术面分析。当用户需要对某只股票做技术面分析时,Claude 应使用此 Skill。支持 K 线形态识别 (十字星/锤子线/吞没/早晨之星/黄昏之星)、趋势研判 (均线多头/空头/MACD 金叉死叉)、超买超卖 (KDJ/RSI)、支撑压力位 (R1/R2/S1/S2) 计算、综合买卖信号生成 (买入/卖出/观望)。

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SKILL.md

A 股个股技术面分析 Skill

何时使用

  • 用户要求分析某只股票的技术面
  • 用户需要 K 线形态识别
  • 用户需要买卖信号
  • 用户需要支撑压力位
  • 用户需要超买超卖判断

提供能力

K线数据

  • get_kline(code, days, adjust) - 历史 K 线

K线形态

  • detect_patterns(df) - 形态识别 (十字星/锤子线/吞没/早晨之星/黄昏之星)

趋势研判

  • analyze_trend(df) - 综合趋势 (均线+MACD)
  • generate_trading_signal(df) - 买卖信号 (买入/卖出/观望)

超买超卖

  • detect_obs(df) - KDJ + RSI 超买超卖

支撑压力

  • calc_support_pressure(df, window) - 支撑压力位 (R1/R2/S1/S2)

综合

  • full_technical_analysis(code, days) - 一键综合分析

使用方式

python main.py kline 000001 --days 120 --adjust qfq   # K线
python main.py trend 000001 --days 60                   # 趋势
python main.py signal 000001 --days 60                  # 买卖信号
python main.py patterns 000001 --days 5                 # K线形态
python main.py full 000001 --days 120                   # 综合分析

Python API

from skills.04-stock-analysis.stock-technical-analysis.main import full_technical_analysis

result = full_technical_analysis("000001", days=120)
# {
#   'patterns': [{'date': ..., 'pattern': '锤子线', 'signal': '看涨'}],
#   'trend': {'trend': '上涨', 'score': 4, 'signals': [...]},
#   'overbought_oversold': {'level': '超买', 'K': 88, 'D': 85, 'J': 95},
#   'support_pressure': {'R1': 13.5, 'S1': 12.0, ...},
#   'trading_signal': {'signal': '买入', 'strength': '强', 'buy_signals': [...], 'sell_signals': [...]}
# }

买卖信号生成规则

买入信号 (满足>=2个且多于卖出):

  • 均线多头排列
  • MACD 金叉
  • KDJ 低位 (<50) 金叉
  • 放量上涨 (量比 > 1.5)

卖出信号 (满足>=2个且多于买入):

  • 均线空头排列
  • MACD 死叉
  • KDJ 高位 (>50) 死叉
  • 放量下跌

K线形态

形态信号描述
十字星反转多空胶着, 关注变盘
锤子线看涨下影线长, 多方力量
看涨吞没看涨阳包阴, 强势反转
看跌吞没看跌阴包阳, 弱势反转

依赖

akshare>=1.12.0
pandas>=1.5.0
numpy>=1.22.0

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