Standard Error of the Estimate -Composite Bands-

see standarderrorestimate standarderror linearregression regression linreg regressionanalysis andersen jonandersen standarderrorbands

Standard Error of the Estimate - Code and adaptation by @glaz & @XeL_arjona
Ver. 2.00.a

Original implementation idea of bands by:
Traders issue: Stocks & Commodities V. 14:9 (375-379):
Standard Error Bands by Jon Andersen

This code is a former update to previous "Standard Error Bands" that was wrongly applied given that previous version in reality use the Standard Error OF THE MEAN, not THE ESTIMATE as it should be used by Jon Andersen original idea and corrected in this version.

As always I am very Thankfully with the support at the Pine Script Editor chat room, with special mention to user @glaz in order to help me adequate the alpha-beta (y-y') algorithm, as well to give him full credit to implement the "wide" version of the former bands.

For a quick and publicly open explanation of this truly statistical (regression analysis) indicator, you can refer at Here!

Extract from the former URL:
Standard Error Bands are quite different than Bollinger's. First, they are bands constructed around a linear regression curve. Second, the bands are based on two standard errors above and below this regression line. The error bands measure the standard error of the estimate around the linear regression line. Therefore, as a price series follows the course of the regression line the bands will narrow, showing little error in the estimate. As the market gets noisy and random, the error will be greater resulting in wider bands.

Open-source Skript

Ganz im Spirit von TradingView hat der Autor dieses Skripts es als Open-Source veröffentlicht, damit Trader es besser verstehen und überprüfen können. Herzlichen Glückwunsch an den Autor! Sie können es kostenlos verwenden, aber die Wiederverwendung dieses Codes in einer Veröffentlichung unterliegt den Hausregeln. Sie können es als Favoriten auswählen, um es in einem Chart zu verwenden.

Haftungsausschluss

Die Informationen und Veröffentlichungen sind nicht als Finanz-, Anlage-, Handels- oder andere Arten von Ratschlägen oder Empfehlungen gedacht, die von TradingView bereitgestellt oder gebilligt werden, und stellen diese nicht dar. Lesen Sie mehr in den Nutzungsbedingungen.

Möchten Sie dieses Skript auf einem Chart verwenden?

//@version=2
study("Standard Error of the Estimate -Composite Bands-", shorttitle="SEE", overlay=true)
p = input(title="Rolling Lookback Window:", defval=21)
sdeg = input(title="Smoothing Factor:", defval=3)

// Standard Error of the Estimate Algorithm's
beta(array,per) =>
    val1 = sum(n*array,per)-(per*sma(n,per)*sma(array,per))
    val2 = sum(pow(n,2),per)-(per*pow(sma(n,per),2))
    calcB = val1/val2
alpha(array,per) =>
    calcA = sma(array,per)-(beta(array,per)*sma(n,per))
see(array,per,mult,dir,type) =>
    lr = linreg(array,per,0)
    val1 = (sum(pow(array,2),per))-((alpha(array,per)*sum(array,per)))-((beta(array,per)*sum(n*array,per)))
    val2 = per - 2
    narrow = sqrt(val1/val2)
    est = sum(pow(lr-array,2),per) / (per - 2 )
    wide = sqrt(est)
    d = dir ? 1 : -1
    band = type ? narrow : wide
    seb = lr + d * mult * band

// Plotting
UWB = plot(sma(see(close,p,2,true,false),sdeg),color=red,transp=90)
UNB = plot(sma(see(close,p,2,true,true),sdeg),color=red,transp=90)
middle = plot(sma(linreg(close,p,0),sdeg),color=red,style=line,transp=0)
BNB = plot(sma(see(close,p,2,false,true),sdeg),color=red,transp=90)
BWB = plot(sma(see(close,p,2,false,false),sdeg),color=red,transp=90)
fill(UWB,BWB,transp=95,title="WSEE",color=red)
fill(UNB,BNB,transp=90,title="NSEE",color=red)

Ähnliche Ideen