# T3 Average

ICE Data Services -

T3Avg.efs                                                                                                                                                        EFSLibrary - Discussion Board

File Name: T3Avg.efs

Description:
T3 Average

Formula Parameters:
Length: 5
Price Data To Use: Close

Notes:
This indicator plots the moving average described in the January, 1998 issue
of S&C, p.57, "Smoothing Techniques for More Accurate Signals", by Tim Tillson.
This indicator plots T3 moving average presented in Figure 4 in the article.
T3 indicator is a moving average which is calculated according to formula:
T3(n) = GD(GD(GD(n))),
where GD - generalized DEMA (Double EMA) and calculating according to this:
GD(n,v) = EMA(n) * (1+v)-EMA(EMA(n)) * v,
where "v" is volume factor, which determines how hot the moving averageRs response
to linear trends will be. The author advises to use v=0.7.
When v = 0, GD = EMA, and when v = 1, GD = DEMA. In between, GD is a less aggressive
version of DEMA. By using a value for v less than1, trader cure the multiple DEMA
overshoot problem but at the cost of accepting some additional phase delay.
In filter theory terminology, T3 is a six-pole nonlinear Kalman filter. Kalman
filters are ones that use the error W in this case, (time series - EMA(n)) W
to correct themselves. In the realm of technical analysis, these are called adaptive
moving averages; they track the time series more aggres-sively when it is making large
moves. Tim Tillson is a software project manager at Hewlett-Packard, with degrees in
mathematics and computer science. He has privately traded options and equities for 15 years.

T3Avg.efs

EFS Code:

/*********************************Provided By: eSignal (Copyright c eSignal),
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: T3 Average Version: 1.0 09/24/2008Notes: This indicator plots the moving average described in the January, 1998 issue of S&C, p.57,
"Smoothing Techniques for More Accurate Signals", by Tim Tillson.
This indicator plots T3 moving average presented in Figure 4 in the article.
T3 indicator is a moving average which is calculated according to formula: T3(n) = GD(GD(GD(n))),
where GD - generalized DEMA (Double EMA) and calculating according to this:
GD(n,v) = EMA(n) * (1+v)-EMA(EMA(n)) * v, where "v" is volume factor,
which determines how hot the moving averageRs response to linear trends will be.
The author advises to use v=0.7. When v = 0, GD = EMA, and when v = 1, GD = DEMA.
In between, GD is a less aggressive version of DEMA. By using a value for v less than1,
trader cure the multiple DEMA overshoot problem but at the cost of accepting some additional phase delay.
In filter theory terminology, T3 is a six-pole nonlinear Kalman filter.
Kalman filters are ones that use the error W in this case, (time series - EMA(n)) W to correct themselves.
In the realm of technical analysis, these are called adaptive moving averages;
they track the time series more aggres-sively when it is making large moves. Tim Tillson is a software project manager at Hewlett-Packard,
with degrees in mathematics and computer science. He has privately traded options and equities for 15 years.
Formula Parameters: Default: Length 5 Price Data To Use Close**********************************/

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

function preMain() {
setPriceStudy(true);
setStudyTitle("T3");
setCursorLabelName("Slope", 0);
setDefaultBarFgColor(Color.blue, 0);
var x = 0;
fpArray[x] = new FunctionParameter("Length", FunctionParameter.NUMBER);
with (fpArray[x++]) {
setLowerLimit(1);
setDefault(5);
}
fpArray[x] = new FunctionParameter("Price", FunctionParameter.STRING);
with (fpArray[x++]) {
setName("Price Data To Use");
setDefault("close");
}
}
var xe1 = null;
var xe2 = null;
var xe3 = null;
var xe4 = null;
var xe5 = null;
var xe6 = null;
var xMyPrice = null;
var nT3Average = 0;

function main(Price, Length) {
var nState = getBarState();
if (nState == BARSTATE_ALLBARS) {
if (Price == null) Price = "close";
if (Length == null) Length = 5;
}
if (bInit == false) {
xMyPrice = eval(Price)();
xe1 = ema(Length, xMyPrice);
xe2 = ema(Length, xe1);
xe3 = ema(Length, xe2);
xe4 = ema(Length, xe3);
xe5 = ema(Length, xe4);
xe6 = ema(Length, xe5);
bInit = true;
}
if (
xe1.getValue(0) == null ||
xe2.getValue(0) == null ||
xe3.getValue(0) == null ||
xe4.getValue(0) == null ||
xe5.getValue(0) == null ||
xe6.getValue(0) == null
)
return;
var b = 0.7;
var c1 = -b * b * b;
var c2 = 3 * b * b + 3 * b * b * b;
var c3 = -6 * b * b - 3 * b - 3 * b * b * b;
var c4 = 1 + 3 * b + b * b * b + 3 * b * b;
nT3Average =
c1 * xe6.getValue(0) +
c2 * xe5.getValue(0) +
c3 * xe4.getValue(0) +
c4 * xe3.getValue(0);
return nT3Average;
}