candlestick
This Claude Code skill uses pandas vectorization to identify 15 candlestick patterns across OHLC data, including single-candle patterns like hammers and dojos, double-candle patterns like engulfing and harami formations, and triple-candle patterns like morning stars and three soldiers. Use it when you need to generate composite trading signals by aggregating bullish and bearish pattern scores, with long signals triggered by positive composite scores and short signals by negative scores.
git clone --depth 1 https://github.com/HKUDS/Vibe-Trading /tmp/candlestick && cp -r /tmp/candlestick/agent/src/skills/candlestick ~/.claude/skills/candlestickSKILL.md
# 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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