Williams' %R

WILLR measures overbought and oversold conditions on a scale of 0 to -100.

Method

tm.ta.willr(source_high, source_low, source_close, timeperiod)

Inputs

Parameter	Argument type	Description	Default Value
source_high	pd.Series	High prices series	-
source_low	pd.Series	Low prices series	-
source_close	pd.Series	Close prices series	-
timeperiod	int	Number of periods for the indicator	14

Outputs

Output	Type
willr	np.ndarray

Example usage

strategy.py

import tradomate as tm

@tm.strategy()
def my_strategy(config: tm.TradomateConfig, data: tm.TradomateData):

    # Trying out Williams' %R
    willr = tm.ta.willr(data.high, data.low, data.close, timeperiod=14)

    # Get the last value and print
    last_value = willr.iloc[-1]
    tm.log(f"Last value of Williams' %R is {last_value}")

    # Plot the values of willr
    tm.plot(willr, title="Williams' %R", overlay=False)