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

If this project helped you in any way and you feel like buying a cup of coffee ☕:

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