Triple Exponential Moving Average

TEMA is a triple exponential moving average designed to reduce lag.

Method

tm.ta.tema(source, timeperiod)

Inputs

Parameter	Argument type	Description	Default Value
source	pd.Series	Input data series	-
timeperiod	int	Number of periods for the indicator	30

Outputs

Output	Type
tema	np.ndarray

Example usage

strategy.py

import tradomate as tm

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

    # Trying out Triple Exponential Moving Average
    tema = tm.ta.tema(data.close, timeperiod=30)

    # Get the last value and print
    last_value = tema.iloc[-1]
    tm.log(f"Last value of Triple Exponential Moving Average is {last_value}")

    # Plot the values of tema
    tm.plot(tema, title="Triple Exponential Moving Average", overlay=False)