bbeale / candlestick-patterns

Candlestick patterns detector

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candlestick-patterns

Candlestick patterns detector

Available patterns

  • Inverted Hammer
  • Hammer
  • Hanging man
  • Bearish/Bullish Harami
  • Dark cloud cover
  • Doji
  • Doji Star
  • Dragonfly doji
  • Gravestone doji
  • Bearish engulfing
  • Bullish engulfing
  • Morning star
  • Morning star doji
  • Piercing pattern
  • Rain drop
  • Rain drop doji
  • Star
  • Shooting star

How to use

Dataframe requirements

  • Dataframe must contain open, high, low and close prices
  • Open, high, low and close prices must be in numeric type.

Dataframe Example:

time open high low close
2019-12-24 00:00:00 7317.3 7436.68 7157.04 7255.77
2019-12-25 00:00:00 7255.77 7271.77 7128.86 7204.63
2019-12-26 00:00:00 7205.01 7435 7157.12 7202
2019-12-27 00:00:00 7202 7275.86 7076.42 7254.74
2019-12-28 00:00:00 7254.77 7365.01 7238.67 7316.14
2019-12-29 00:00:00 7315.36 7528.45 7288 7388.24

Code

from candlestick import candlestick
df = candlestick.inverted_hammer(df, target='result')

Result

T result open high low close
2019-12-24 00:00:00 False 7317.3 7436.68 7157.04 7255.77
2019-12-25 00:00:00 False 7255.77 7271.77 7128.86 7204.63
2019-12-26 00:00:00 True 7205.01 7435 7157.12 7202
2019-12-27 00:00:00 False 7202 7275.86 7076.42 7254.74
2019-12-28 00:00:00 False 7254.77 7365.01 7238.67 7316.14
2019-12-29 00:00:00 False 7315.36 7528.45 7288 7388.24

"True" indicates that pattern is detected at that candle

Parametrs

All pattern detection methods receive 3 parametrs:

  • target (String) - Indicates the column to which the result of detection is saved as boolean.
  • is_reversed (Bool) - Pass True if rows in dataframe are in time descending order, otherwise False. Deafult is False.
  • ohlc (List) - Pass list of strings which indicates the column names of open/high/low/close prices in dataframe. Default: ["open", "high", "low", "close"].

Support

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About

Candlestick patterns detector

License:MIT License


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Language:Python 100.0%