DSS Bressert (Double Smoothed Stochastic)

DSS_Bressert.efs  
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File Name: DSS_Bressert.efs

Description:
DSS Bressert (Double Smoothed Stochastic)

Formula Parameters:

• pds : 10
• TriggerLen : 5
• Overbought : 80
• Oversold : 20
• EMAlen : 9

Notes:
Double Smoothed Stochastics (DSS) is designed by William Blaw.
It attempts to combine moving average methods with oscillator principles.

Download File:
DSS_Bressert.efs


EFS Code:

/*********************************
Provided By:  
    eSignal (Copyright c eSignal), a division of Interactive Data 
    Corporation. 2009. All rights reserved. This sample eSignal 
    Formula Script (EFS) is for educational purposes only and may be 
    modified and saved under a new file name.  eSignal is not responsible
    for the functionality once modified.  eSignal reserves the right 
    to modify and overwrite this EFS file with each new release.

Description:        
    DSS Bressert (Double Smoothed Stochastic)
    
Version:            1.0  04/10/2009

Formula Parameters:                     Default:
    pds                                 10
    TriggerLen                          5
    Overbought                          80
    Oversold                            20
    EMAlen                              9

Notes:
    Double Smoothed Stochastics (DSS) is designed by William Blaw. 
    It attempts to combine moving average methods with oscillator principles. 
**********************************/
var fpArray = new Array();
var bInit = false;

function preMain() {
    setStudyTitle("DSS Bressert");
    setCursorLabelName("DSS", 0);
    setCursorLabelName("Trigger", 1);
    setDefaultBarFgColor(Color.brown, 0);
    setDefaultBarFgColor(Color.red, 1);
    setStudyMax(101);
    setStudyMin(-1);
    var x = 0;
    fpArray[x] = new FunctionParameter("pds", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setLowerLimit(1);
        setDefault(10);
    }
    fpArray[x] = new FunctionParameter("TriggerLen", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setLowerLimit(1);
        setDefault(5);
    }
    fpArray[x] = new FunctionParameter("Overbought", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setLowerLimit(1);
        setDefault(80);
    }
    fpArray[x] = new FunctionParameter("Oversold", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setLowerLimit(1);
        setDefault(20);
    }
    fpArray[x] = new FunctionParameter("EMAlen", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setLowerLimit(1);
        setDefault(9);
    }   
}

var xDSS = null;
var xTrigger = null;

function main(pds, TriggerLen, EMAlen, Overbought, Oversold){
var nBarState = getBarState();
    if (nBarState == BARSTATE_ALLBARS) {
        if (pds == null) pds = 10;
        if (TriggerLen == null) TriggerLen = 5;
        if (Overbought == null) Overbought = 80;
        if (Oversold == null)	Oversold = 20;
        if (EMAlen == null) EMAlen = 9;
    }
    if (bInit == false) {
        addBand(Overbought, PS_SOLID, 1, Color.blue, 0);
        addBand(Oversold, PS_SOLID, 1, Color.blue, 1);            
        xDSS = ema(EMAlen,stochK(pds,1,1,ema(EMAlen,stochK(pds,1,1))));
        xTrigger = ema(TriggerLen,xDSS);
        bInit = true;
    }
    var nDSS = xDSS.getValue(0);
    var nTrigger = xTrigger.getValue(0);
    if(nDSS==null||nTrigger==null) return;
	return new Array(nDSS,nTrigger);
}