IIndicatorsAccessor.ExponentialMovingAverage

method · IIndicatorsAccessor · cAlgo.API.Internals

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The Exponential Moving Average smoothes the price data producing a trend indicator.

Definition

C#Python

ExponentialMovingAverage ExponentialMovingAverage(DataSeries source, int periods)

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

Parameters

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

Returns ExponentialMovingAverage — Exponential Moving Average indicator instance

Examples

C#Python

var ema = Indicators.ExponentialMovingAverage(Bars.ClosePrices, 20);
if (Bars.ClosePrices.Last(1) > ema.Result.Last(1))
    Print("Last bar closed above EMA(20): {0}", ema.Result.Last(1));

ema = api.Indicators.ExponentialMovingAverage(api.Bars.ClosePrices, 20)
if api.Bars.ClosePrices.Last(1) > ema.Result.Last(1):
    api.Print(f"Last bar closed above EMA(20): {ema.Result.Last(1)}")