MASS Index

[eSignal]

File Name: MassIndex.efs

Description:
MASS Index

Formula Parameters:
nSetup : 27
nTrigger : 26.5
nLength1 : 9
nLength2 : 25


Notes:
The Mass Index was designed to identify trend reversals by measuring
the narrowing and widening of the range between the high and low prices.
As this range widens, the Mass Index increases; as the range narrows
the Mass Index decreases.
The Mass Index was developed by Donald Dorsey.


Download File:
MassIndex.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:        
    MASS Index
Version:            1.0  04/17/2009

Formula Parameters:                     Default:
    nSetup                              27
    nTrigger                            26.5
    nLength1                            9
    nLength2                            25
    
Notes:
    The Mass Index was designed to identify trend reversals by measuring 
    the narrowing and widening of the range between the high and low prices. 
    As this range widens, the Mass Index increases; as the range narrows 
    the Mass Index decreases.
    The Mass Index was developed by Donald Dorsey. 
**********************************/
var fpArray = new Array();
var bInit = false;

function preMain() {
    setStudyTitle("Mass Index");
    setCursorLabelName("MassIndex", 0);
    setDefaultBarFgColor(Color.red, 0);
    var x = 0;
    fpArray[x] = new FunctionParameter("nSetup", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setLowerLimit(1);
        setDefault(27);
    }
    fpArray[x] = new FunctionParameter("nTrigger", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setLowerLimit(1);
        setDefault(26.5);
    }    fpArray[x] = new FunctionParameter("nLength1", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setLowerLimit(1);
        setDefault(9);
    }    fpArray[x] = new FunctionParameter("nLength2", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setLowerLimit(1);
        setDefault(25);
    }
}

var xMassIndex = null;

function main(nSetup, nTrigger, nLength1, nLength2) {
var nBarState = getBarState();
var nMassIndex = 0;
    if (nBarState == BARSTATE_ALLBARS) {
        if (nSetup != null) nSetup = 27;
        if (nTrigger != null) nTrigger = 26.5;
        if (nLength1 != null) nLength1 = 9;
        if (nLength2 != null) nLength2 = 25;
    }    
    if (bInit == false) {
        addBand(nSetup, PS_SOLID, 1, Color.blue, 1);
        addBand(nTrigger, PS_SOLID, 1, Color.blue, 2);
        xMassIndex = efsInternal("Calc_MassIndex", nLength1, nLength2);
        bInit = true;
    }
    nMassIndex = xMassIndex.getValue(0);
    return nMassIndex;
}   

var bSecondInit = false;
var xSmoothXAvg = null;
var xEMA = null;

function Calc_MassIndex(nLength1, nLength2) {
var nSmoothXAvg = 0;
var nRes = 0;
var i = 0;
    if (bSecondInit == false) {
        xEMA = ema(nLength1, efsInternal("Calc_Price"));
        xSmoothXAvg = ema(nLength1, xEMA);
        bSecondInit = true;
    }
    if (xSmoothXAvg.getValue(-nLength2) == null || xEMA.getValue(-nLength2) == null) return;
    for (i = 0; i < nLength2; i++) {
        nSmoothXAvg = xSmoothXAvg.getValue(-i);
        if (nSmoothXAvg != 0) nRes += xEMA.getValue(-i) / nSmoothXAvg;
    }
    return nRes;
}    

function Calc_Price() {
var nRes = 0;
    nRes = high(0) - low(0);
    if (nRes == null) return;
    return nRes;
}