cdl_doji#
- cdl_doji(open_, high, low, close, length=None, factor=None, scalar=None, asint=True, offset=None, **kwargs)[source]#
Candle Type: Doji
A candle body is Doji, when it’s shorter than 10% of the average of the 10 previous candles’ high-low range.
- Sources:
TA-Lib: 96.56% Correlation
- Calculation:
- Default values:
length=10, percent=10 (0.1), scalar=100
ABS = Absolute Value SMA = Simple Moving Average
BODY = ABS(close - open) HL_RANGE = ABS(high - low)
DOJI = scalar IF BODY < 0.01 * percent * SMA(HL_RANGE, length) ELSE 0
- Args:
open_ (pd.Series): Series of ‘open’s high (pd.Series): Series of ‘high’s low (pd.Series): Series of ‘low’s close (pd.Series): Series of ‘close’s length (int): The period. Default: 10 factor (float): Doji value. Default: 100 scalar (float): How much to magnify. Default: 100 asint (bool): Keep results numerical instead of boolean. Default: True
- Kwargs:
- naive (bool, optional): If True, prefills potential Doji less than
the length if less than a percentage of it’s high-low range. Default: False
fillna (value, optional): pd.DataFrame.fillna(value) fill_method (value, optional): Type of fill method
- Returns:
pd.Series: CDL_DOJI column.