Ultimate Oscillator

ULTOSC combines multiple timeframes to identify overbought and oversold conditions.

Method

tm.ta.ultosc(source_high, source_low, source_close, timeperiod1, timeperiod2, timeperiod3)

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	-
timeperiod1	int	First time period	7
timeperiod2	int	Second time period	14
timeperiod3	int	Third time period	28

Outputs

Output	Type
ultosc	np.ndarray

Example usage

strategy.py

import tradomate as tm

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

    # Trying out Ultimate Oscillator
    ultosc = tm.ta.ultosc(data.high, data.low, data.close, timeperiod1=7, timeperiod2=14, timeperiod3=28)

    # Get the last value and print
    last_value = ultosc.iloc[-1]
    tm.log(f"Last value of Ultimate Oscillator is {last_value}")

    # Plot the values of ultosc
    tm.plot(ultosc, title="Ultimate Oscillator", overlay=False)