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QuanTAlib/Source/Trends/T3_Series.cs
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namespace QuanTAlib;
using System;
using System.Linq;
using System.Numerics;
/* <summary>
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T3: Tillson T3 Moving Average
Tim Tillson described it in "Technical Analysis of Stocks and Commodities", January 1998 in the
article "Better Moving Averages". Tillsons moving average becomes a popular indicator of
technical analysis as it gets less lag with the price chart and its curve is considerably smoother.
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Sources:
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https://technicalindicators.net/indicators-technical-analysis/150-t3-moving-average
http://www.binarytribune.com/forex-trading-indicators/t3-moving-average-indicator/
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Calculation:
a = 0.7 (but also 0.618);
Ema1 = Ema (Close);
Ema2 = Ema (Ema1);
Ema3 = Ema (Ema2);
Ema4 = Ema (Ema3);
Ema5 = Ema (Ema4);
Ema6 = Ema (Ema5);
T3 = (a*a*a) * Ema6 + (3*a*a + 3*a*a*a) * Ema5 + (6*a*a 3*a 3*a*a*a) * Ema4 + (1 + 3*a + a*a*a + 3*a*a) * Ema3
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</summary> */
public class T3_Series : Single_TSeries_Indicator
{
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private double k, a;
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private double c1, c2, c3, c4;
private double o_c1, o_c2, o_c3, o_c4;
private double e1, e2, e3, e4, e5, e6;
private double o_e1, o_e2, o_e3, o_e4, o_e5, o_e6;
private double sum1, sum2, sum3, sum4, sum5, sum6;
private double o_sum1, o_sum2, o_sum3, o_sum4, o_sum5, o_sum6;
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public T3_Series(TSeries source, int period, double vfactor = 0.7, bool useNaN = false) : base(source, period, useNaN)
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{
k = 2.0 / (_p + 1);
a = vfactor;
c1 = -a * a * a;
c2 = (3 * a * a) + (3 * a * a * a);
c3 = (-6 * a * a) - (3 * a) - (3 * a * a * a);
c4 = 1 + (3 * a) + (3 * a * a) + (a * a * a) ;
e1 = e2 = e3 = e4 = e5 = e6 = 0;
sum1 = sum2 = sum3 = sum4 = sum5 = sum6 = 0;
if (_data.Count > 0) { base.Add(data: _data); }
}
public override void Add((DateTime t, double v) TValue, bool update)
{
if (update) {
// roll back (x = oldx)
c1 = o_c1; c2 = o_c2; c3 = o_c3; c4 = o_c4;
e1 = o_e1; e2 = o_e2; e3 = o_e3; e4 = o_e4; e5 = o_e5; e6 = o_e6;
sum1 = o_sum1; sum2 = o_sum2; sum3 = o_sum3; sum4 = o_sum4; sum5 = o_sum5; sum6 = o_sum6;
} else {
// roll forward (oldx = x)
o_c1 = c1; o_c2 = c2; o_c3 = c3; o_c4 = c4;
o_e1 = e1; o_e2 = e2; o_e3 = e3; o_e4 = e4; o_e5 = e5; o_e6 = e6;
o_sum1 = sum1; o_sum2 = sum2; o_sum3 = sum3; o_sum4 = sum4; o_sum5 = sum5; o_sum6 = sum6;
}
double v = TValue.v;
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int i = base.Count;
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if (i > _p - 1) {
e1 += k * (v - e1);
if (i > 2 * (_p - 1)) {
e2 += k * (e1 - e2);
if (i > 3 * (_p - 1)) {
e3 += k * (e2 - e3);
if (i > 4 * (_p - 1)) {
e4 += k * (e3 - e4);
if (i > 5 * (_p - 1)) {
e5 += k * (e4 - e5);
if (i > 6 * (_p - 1)) {
e6 += k * (e5 - e6);
}
else {
sum6 += e5;
if (i == 6 * (_p - 1)) {
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e6 = sum6 / Math.Max(_p, base.Count);
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}
}
}
else {
sum5 += e4;
if (i == 5 * (_p - 1)) {
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sum6 = e5 = sum5 / Math.Max(_p, base.Count);
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}
}
}
else {
sum4 += e3;
if (i == 4 * (_p - 1)) {
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sum5 = e4 = sum4 / Math.Max(_p, base.Count);
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}
}
}
else {
sum3 += e2;
if (i == 3 * (_p - 1)) {
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sum4 = e3 = sum3 / Math.Max(_p, base.Count);
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}
}
}
else {
sum2 += e1;
if (i == 2 * (_p - 1)) {
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sum3 = e2 = sum2 / Math.Max(_p, base.Count);
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}
}
}
else {
sum1 += v;
if (i == _p - 1) {
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sum2 = e1 = sum1 / Math.Max(_p, base.Count);
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}
}
double t3 = (c1 * e6) + (c2 * e5) + (c3 * e4) + (c4 * e3);
base.Add(TValue: (TValue.t, t3), update: update, useNaN: _NaN);
}
}