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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.
--- name: candlestick-edd62a88890f 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--- name: candlestick-edd62a88890f 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
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.