IIndicatorsAccessor.TripleExponentialMovingAverage

method · IIndicatorsAccessor · cAlgo.API.Internals

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The Triple Exponential Moving Average (TEMA) is a technical indicator that provides a smoothed representation of price data by applying three levels of exponential smoothing

Definition

C#Python

TripleExponentialMovingAverage TripleExponentialMovingAverage(DataSeries source, int periods)

api.Indicators.TripleExponentialMovingAverage(source: DataSeries, periods: int) -> TripleExponentialMovingAverage

Parameters

Name	C# type	Python type	Description
`source`	`DataSeries`	`DataSeries`	The source data used for calculation.
`periods`	`int`	`int`	The periods used for the calculation.

Returns TripleExponentialMovingAverage — The TEMA indicator instance.

Examples

C#Python

var tema = Indicators.TripleExponentialMovingAverage(Bars.ClosePrices, 20);
Print("TEMA(20): {0}", tema.Result.LastValue);

tema = api.Indicators.TripleExponentialMovingAverage(api.Bars.ClosePrices, 20)
api.Print(f"TEMA(20): {tema.Result.LastValue}")