IIndicatorsAccessor.KaufmanAdaptiveMovingAverage

method · IIndicatorsAccessor · cAlgo.API.Internals

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The Kaufman's Adaptive Moving Average (KAMA) indicator is a type of adaptive moving average designed to adjust its smoothing factor based on market volatility

Overloads

Signature
`KaufmanAdaptiveMovingAverage(int periods, int fastPeriods, int slowPeriods)`
`KaufmanAdaptiveMovingAverage(DataSeries source, int periods, int fastPeriods, int slowPeriods)`

KaufmanAdaptiveMovingAverage(int periods, int fastPeriods, int slowPeriods)

The Kaufman's Adaptive Moving Average (KAMA) indicator is a type of adaptive moving average designed to adjust its smoothing factor based on market volatility

C#Python

KaufmanAdaptiveMovingAverage KaufmanAdaptiveMovingAverage(int periods, int fastPeriods, int slowPeriods)

api.Indicators.KaufmanAdaptiveMovingAverage(periods: int, fastPeriods: int, slowPeriods: int) -> KaufmanAdaptiveMovingAverage

Parameters

Name	C# type	Python type	Description
`periods`	`int`	`int`	The periods used for the calculation. Must be an even number.
`fastPeriods`	`int`	`int`	The fast moving average period
`slowPeriods`	`int`	`int`	The slow moving average period

Returns KaufmanAdaptiveMovingAverage — The KAMA indicator instance.

Examples

C#Python

var kama = Indicators.KaufmanAdaptiveMovingAverage(10, 2, 30);
Print("KAMA(10, 2, 30): {0}", kama.Result.LastValue);

kama = api.Indicators.KaufmanAdaptiveMovingAverage(10, 2, 30)
api.Print(f"KAMA(10, 2, 30): {kama.Result.LastValue}")

KaufmanAdaptiveMovingAverage(DataSeries source, int periods, int fastPeriods, int slowPeriods)

The Kaufman's Adaptive Moving Average (KAMA) indicator is a type of adaptive moving average designed to adjust its smoothing factor based on market volatility

C#Python

KaufmanAdaptiveMovingAverage KaufmanAdaptiveMovingAverage(DataSeries source, int periods, int fastPeriods, int slowPeriods)

api.Indicators.KaufmanAdaptiveMovingAverage(source: DataSeries, periods: int, fastPeriods: int, slowPeriods: int) -> KaufmanAdaptiveMovingAverage

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. Must be an even number.
`fastPeriods`	`int`	`int`	The fast moving average period
`slowPeriods`	`int`	`int`	The slow moving average period

Returns KaufmanAdaptiveMovingAverage — The KAMA indicator instance.

Examples

C#Python

var kama = Indicators.KaufmanAdaptiveMovingAverage(Bars.TypicalPrices, 10, 2, 30);
Print("KAMA of typical prices: {0}", kama.Result.LastValue);

kama = api.Indicators.KaufmanAdaptiveMovingAverage(api.Bars.TypicalPrices, 10, 2, 30)
api.Print(f"KAMA of typical prices: {kama.Result.LastValue}")