candlestick
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npx mdskill add HKUDS/Vibe-Trading/candlestickRecognizes 15 classic candlestick patterns using pandas vectorization to generate composite trading signals for market analysis.
- Helps identify bullish and bearish patterns in financial data for trading strategy development.
- Depends on pandas for vectorized data processing without external APIs or services.
- Scores patterns as +1 for bullish and -1 for bearish, recommending long or short positions based on total score.
- Delivers results as composite signals indicating market trends for agent decision-making.
SKILL.md
.github/skills/candlestickView on GitHub ↗
--- name: candlestick description: Candlestick pattern recognition engine, pure pandas vectorized implementation of 15 classic candlestick patterns (5 single-candle + 5 double-candle + 4 triple-candle + 1 trend confirmation), generating a composite signal from bullish/bearish pattern scores. category: strategy --- # Candlestick Pattern Recognition ## Purpose Identifies 15 classic candlestick patterns and generates trading signals: ### Single-Candle Patterns (5) | Pattern | Signal | Description | |------|------|------| | Hammer | Bullish | Long lower shadow with a small body at the top | | Inverted Hammer | Bullish | Long upper shadow with a small body at the bottom | | Shooting Star | Bearish | Long upper shadow with a small body at the bottom (appears after an uptrend) | | Doji | Neutral | Open and close are nearly equal | | Spinning Top | Neutral | Small body with roughly equal upper and lower shadows | ### Double-Candle Patterns (5) | Pattern | Signal | |------|------| | Bullish Engulfing | Bullish | | Bearish Engulfing | Bearish | | Bullish Harami | Bullish | | Bearish Harami | Bearish | | Piercing Line | Bullish | | Dark Cloud Cover | Bearish | ### Triple-Candle Patterns (4) | Pattern | Signal | |------|------| | Morning Star | Bullish | | Evening Star | Bearish | | Three White Soldiers | Bullish | | Three Black Crows | Bearish | ## Signal Logic Bullish patterns score +1, bearish patterns score -1. Go long when the total score is > 0, go short when it is < 0, and stand aside when it equals 0. ## Parameters | Parameter | Default | Description | |------|--------|------| | body_pct | 0.1 | Threshold for body-to-range ratio in a doji | | shadow_ratio | 2.0 | Ratio of shadow length to body length | ## Dependencies ```bash pip install pandas numpy requests ``` ## Signal Convention - `1` = long, `-1` = short, `0` = stand aside
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