Files
QuanTAlib/lib/averages/T3.cs
T
2024-11-03 23:47:53 +00:00

181 lines
6.1 KiB
C#

using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// T3: Tillson T3 Moving Average
/// A sophisticated moving average developed by Tim Tillson that applies six EMAs
/// in sequence with optimized coefficients. The T3 provides excellent smoothing
/// while maintaining responsiveness and minimal lag.
/// </summary>
/// <remarks>
/// The T3 calculation process:
/// 1. Applies six EMAs in sequence
/// 2. Uses volume factor to determine optimal coefficients
/// 3. Combines EMAs using specific formula: c1*EMA6 + c2*EMA5 + c3*EMA4 + c4*EMA3
/// 4. Coefficients are based on the volume factor parameter
///
/// Key characteristics:
/// - Excellent smoothing with minimal lag
/// - Adjustable via volume factor parameter
/// - No overshooting like triple EMA
/// - Better noise reduction than traditional EMAs
/// - Maintains responsiveness to significant moves
///
/// Sources:
/// Tim Tillson - "Better Moving Averages"
/// TASC Magazine, 1998
/// </remarks>
public class T3 : AbstractBase
{
private readonly int _period;
private readonly double _vfactor;
private readonly bool _useSma;
private readonly double _k;
private readonly double _c1, _c2, _c3, _c4;
private readonly CircularBuffer _buffer1, _buffer2, _buffer3, _buffer4, _buffer5, _buffer6;
private double _lastEma1, _lastEma2, _lastEma3, _lastEma4, _lastEma5, _lastEma6;
private double _p_lastEma1, _p_lastEma2, _p_lastEma3, _p_lastEma4, _p_lastEma5, _p_lastEma6;
/// <param name="period">The number of periods used in each EMA calculation.</param>
/// <param name="vfactor">Volume factor controlling smoothing (default 0.7).</param>
/// <param name="useSma">Whether to use SMA for initial values (default true).</param>
/// <exception cref="ArgumentException">Thrown when period is less than 1.</exception>
public T3(int period, double vfactor = 0.7, bool useSma = true)
{
if (period < 1)
{
throw new System.ArgumentException("Period must be greater than or equal to 1.", nameof(period));
}
_period = period;
_vfactor = vfactor;
_useSma = useSma;
WarmupPeriod = period;
_k = 2.0 / (_period + 1);
// Precalculate coefficients
double v2 = vfactor * vfactor;
double v3 = v2 * vfactor;
_c1 = -v3;
_c2 = 3.0 * (v2 + v3);
_c3 = -3.0 * ((2.0 * v2) + vfactor + v3);
_c4 = 1.0 + (3.0 * vfactor) + v3 + (3.0 * v2);
_buffer1 = new(period);
_buffer2 = new(period);
_buffer3 = new(period);
_buffer4 = new(period);
_buffer5 = new(period);
_buffer6 = new(period);
Name = $"T3({_period}, {_vfactor})";
Init();
}
/// <param name="source">The data source object that publishes updates.</param>
/// <param name="period">The number of periods used in each EMA calculation.</param>
/// <param name="vfactor">Volume factor controlling smoothing (default 0.7).</param>
/// <param name="useSma">Whether to use SMA for initial values (default true).</param>
public T3(object source, int period, double vfactor = 0.7, bool useSma = true) : this(period, vfactor, useSma)
{
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new ValueSignal(Sub));
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override void Init()
{
_lastEma1 = _lastEma2 = _lastEma3 = _lastEma4 = _lastEma5 = _lastEma6 = 0;
_buffer1.Clear();
_buffer2.Clear();
_buffer3.Clear();
_buffer4.Clear();
_buffer5.Clear();
_buffer6.Clear();
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void ManageState(bool isNew)
{
if (isNew)
{
_lastValidValue = Input.Value;
_index++;
_p_lastEma1 = _lastEma1;
_p_lastEma2 = _lastEma2;
_p_lastEma3 = _lastEma3;
_p_lastEma4 = _lastEma4;
_p_lastEma5 = _lastEma5;
_p_lastEma6 = _lastEma6;
}
else
{
_lastEma1 = _p_lastEma1;
_lastEma2 = _p_lastEma2;
_lastEma3 = _p_lastEma3;
_lastEma4 = _p_lastEma4;
_lastEma5 = _p_lastEma5;
_lastEma6 = _p_lastEma6;
}
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private double CalculateEma(double input, double lastEma)
{
return (_k * (input - lastEma)) + lastEma;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
private double CalculateT3(double ema3, double ema4, double ema5, double ema6)
{
return (_c1 * ema6) + (_c2 * ema5) + (_c3 * ema4) + (_c4 * ema3);
}
protected override double Calculation()
{
ManageState(Input.IsNew);
double ema1, ema2, ema3, ema4, ema5, ema6;
if (_index == 1)
{
ema1 = ema2 = ema3 = ema4 = ema5 = ema6 = Input.Value;
}
else if (_index <= _period && _useSma)
{
_buffer1.Add(Input.Value, Input.IsNew);
ema1 = _buffer1.Average();
_buffer2.Add(ema1, Input.IsNew);
ema2 = _buffer2.Average();
_buffer3.Add(ema2, Input.IsNew);
ema3 = _buffer3.Average();
_buffer4.Add(ema3, Input.IsNew);
ema4 = _buffer4.Average();
_buffer5.Add(ema4, Input.IsNew);
ema5 = _buffer5.Average();
_buffer6.Add(ema5, Input.IsNew);
ema6 = _buffer6.Average();
}
else
{
ema1 = CalculateEma(Input.Value, _lastEma1);
ema2 = CalculateEma(ema1, _lastEma2);
ema3 = CalculateEma(ema2, _lastEma3);
ema4 = CalculateEma(ema3, _lastEma4);
ema5 = CalculateEma(ema4, _lastEma5);
ema6 = CalculateEma(ema5, _lastEma6);
}
_lastEma1 = ema1;
_lastEma2 = ema2;
_lastEma3 = ema3;
_lastEma4 = ema4;
_lastEma5 = ema5;
_lastEma6 = ema6;
IsHot = _index >= WarmupPeriod;
return CalculateT3(ema3, ema4, ema5, ema6);
}
}