Four-Element Laguerre Filter by John Ehlers

LaguerreFilter.efs  
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File Name: LaguerreFilter.efs

Description:
Four-Element Laguerre Filter by John Ehlers

Formula Parameters:

• Gamma - damping factor: 0.8

Notes:
This moving average indicator allows to avoid whipsaw trades and strike a balance between the amount of smoothing and the amount of lag by using some modern math tools like Laguerre transform filter. This filter is the next generation tool comparing to either the usual MovAvg or FIR (finite impulse response) filters.

Download File:
LaguerreFilter.efs


EFS Code:

/*********************************

Provided By:  

    eSignal (Copyright c eSignal), a division of Interactive Data 
    Corporation. 2008. 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:        

    Four-Element Laguerre Filter by John Ehlers 

Version:            1.0  09/24/2008

Notes:

    This moving average indicator allows to avoid whipsaw trades and strike a balance
    between the amount of smoothing and the amount of lag by using some modern math tools
    like Laguerre transform filter. This filter is the next generation tool comparing to 
    either the usual MovAvg or FIR (finite impulse response) filters.    


Formula Parameters:                     Default:

    Gamma - damping factor              0.8

**********************************/

var fpArray = new Array();
var bInit = false;

function preMain() {
    setPriceStudy(true);
    setStudyTitle("FIR");
    
    setCursorLabelName("Filt", 0);
    setDefaultBarFgColor(Color.red, 0);
    setDefaultBarThickness(2, 0);
    
    setCursorLabelName("FIR", 1);
    setDefaultBarFgColor(Color.green, 1);
    setDefaultBarThickness(2, 1);
    
    var x = 0;
	
	fpArray[x] = new FunctionParameter("gamma", FunctionParameter.NUMBER);
    with(fpArray[x++]) {
        setName("Gamma");
        setLowerLimit(0.01);
        setDefault(0.8);
    }
    
}

var L0_1 = 0;
var L1_1 = 0;
var L2_1 = 0;
var L3_1 = 0;

var L0 = 0;
var L1 = 0;
var L2 = 0;
var L3 = 0;

var xhl2 = null;

function main(gamma) {

	if(gamma == null)
		gamma = 0.8;
		
	if (bInit == false) {
        xhl2 = hl2();
        bInit = true;
	}
	
	if (getBarState() == BARSTATE_NEWBAR) {
		L0_1 = L0;
		L1_1 = L1;
		L2_1 = L2;
		L3_1 = L3;
	}

	var Filt = 0;
    var FIR = 0;
    var sum = 0; 
    var i = 0;

	L0 = (1 - gamma) * xhl2.getValue(0) + gamma * L0_1;
	L1 = -gamma * L0 + L0_1 + gamma * L1_1;
	L2 = -gamma * L1 + L1_1 + gamma * L2_1;
	L3 = -gamma * L2 + L2_1 + gamma * L3_1;

	Filt = (L0 + 2 * L1 + 2 * L2 + L3) / 6;

	for (i = - 3; i <= 0; i++) {
		if (i == 0 || i == -3)
			k = 1;
		else
			k = 2;

		sum += k * xhl2.getValue(i);
	}

	FIR = sum / 6;

	
    if (getCurrentBarCount() < 50) return;
	return new Array(Filt, FIR);
}