Exponential Moving Average

EMA gives more weight to recent prices, reflecting the latest market trends.

Method

tm.ta.ema(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
ema	np.ndarray

Example usage

strategy.py

import tradomate as tm

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

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

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

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