IIndicatorsAccessor.PolynomialRegressionChannels

method · IIndicatorsAccessor · cAlgo.API.Internals

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Polynomial Regression Channel (PRC) is an RTX Extension indicator that draws a best fit n-degree polynomial regression line through a recent period of data.

Definition

C#Python

PolynomialRegressionChannels PolynomialRegressionChannels(int degree, int periods, double standardDeviation, double standardDeviation2)

api.Indicators.PolynomialRegressionChannels(degree: int, periods: int, standardDeviation: float, standardDeviation2: float) -> PolynomialRegressionChannels

Parameters

Name	C# type	Python type	Description
`degree`	`int`	`int`	The degree of PolynomialRegressionChannels
`periods`	`int`	`int`	The period of PolynomialRegressionChannels
`standardDeviation`	`double`	`float`	The first standardDeviation of PolynomialRegressionChannels
`standardDeviation2`	`double`	`float`	The second standardDeviation of PolynomialRegressionChannels

Returns PolynomialRegressionChannels — PolynomialRegressionChannels

Examples

C#Python

var prc = Indicators.PolynomialRegressionChannels(3, 120, 1.62, 2);
Print("PRC: {0}, upper: {1}, lower: {2}", prc.Prc.LastValue, prc.Sqh.LastValue, prc.Sql.LastValue);

prc = api.Indicators.PolynomialRegressionChannels(3, 120, 1.62, 2)
api.Print(f"PRC: {prc.Prc.LastValue}, upper: {prc.Sqh.LastValue}, lower: {prc.Sql.LastValue}")