Original implementation by:
Traders issue: Stocks & V. 14:9 (375-379):
Bands by Jon Andersen
For a quick and publicly open explanation of this Statistical 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 curve. Second, the bands are based on two standard errors above and below this regression line. The error bands measure the of the estimate around the 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.
In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.
// Standard Error Bands - Code by @XeL_arjona // Original implementation by: // Traders issue: Stocks & Commodities V. 14:9 (375-379): // Standard Error Bands by Jon Andersen // Ver 1 study(title="Standard Error Bands by @XeL_arjona", shorttitle="StDeBands", overlay=true) len = input(defval=21, minval=1, title="Linear Regression Window:") sm = input(true, title="Use Jon Andersen's Smooth of Median:") src = close // Standard Error Band Function stdeB(array,p,mult,dir) => lr = sm ? sma(linreg(array,p,0),1) : linreg(array,p,0) stde = stdev(lr,p)/sqrt(p) d = dir ? 1 : -1 eband = lr + d * mult * stde lrc = sma(linreg(src, len, 0),1) m = plot(lrc, color = blue, title = "OLS Regression Curve", style = line, linewidth = 2) ub = plot(stdeB(close,len,2,true), color = green, title = 'StdEu', style = line, linewidth = 1) bb = plot(stdeB(close,len,2,false), color = red, title = 'StdEb', style = line, linewidth = 1) fill(m,ub, color=olive, title="StdE_U", transp=81) fill(m,bb, color=orange, title="StdE_B", transp=81)