Files
2024-11-03 23:47:53 +00:00

132 lines
4.6 KiB
C#

using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// RSX: Relative Strength eXtended
/// An enhanced version of RSI developed by Mark Jurik that applies JMA (Jurik Moving
/// Average) smoothing to the RSI calculation. RSX provides smoother signals with
/// less noise while maintaining responsiveness to significant price movements.
/// </summary>
/// <remarks>
/// The RSX calculation process:
/// 1. Calculates traditional RSI values
/// 2. Applies JMA smoothing to RSI output
/// 3. Uses optimized parameters for noise reduction
/// 4. Maintains RSI's 0-100 scale
///
/// Key characteristics:
/// - Smoother than traditional RSI
/// - Better noise reduction
/// - Maintains responsiveness to significant moves
/// - Same interpretation as RSI (0-100 scale)
/// - Fewer false signals than RSI
///
/// Formula:
/// RSX = JMA(RSI(price))
/// where:
/// RSI = standard Relative Strength Index
/// JMA = Jurik Moving Average with optimized parameters
///
/// Sources:
/// Mark Jurik - "The Jurik RSX"
/// https://www.jurikresearch.com/
///
/// Note: Proprietary enhancement of RSI using JMA technology
/// </remarks>
[SkipLocalsInit]
public sealed class Rsx : AbstractBase
{
private readonly Rma _avgGain;
private readonly Rma _avgLoss;
private readonly Jma _rsx;
private double _prevValue, _p_prevValue;
private const double ScalingFactor = 100.0;
private const int DefaultPeriod = 14;
private const int DefaultPhase = 0;
private const double DefaultFactor = 0.55;
private const int JmaPeriod = 8;
private const int JmaPower = 100;
private const double JmaPhase = 0.25;
private const int JmaExtra = 3;
/// <param name="period">The number of periods for RSI calculation (default 14).</param>
/// <param name="phase">The phase parameter for JMA smoothing (default 0).</param>
/// <param name="factor">The factor parameter for smoothing control (default 0.55).</param>
/// <exception cref="ArgumentOutOfRangeException">Thrown when period is less than 1.</exception>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Rsx(int period = DefaultPeriod, int phase = DefaultPhase, double factor = DefaultFactor)
{
if (period < 1)
throw new ArgumentOutOfRangeException(nameof(period));
_avgGain = new(period);
_avgLoss = new(period);
_rsx = new(JmaPeriod, JmaPower, JmaPhase, JmaExtra);
_index = 0;
WarmupPeriod = period + 1;
Name = $"RSX({period})";
}
/// <param name="source">The data source object that publishes updates.</param>
/// <param name="period">The number of periods for RSI calculation.</param>
/// <param name="phase">The phase parameter for JMA smoothing.</param>
/// <param name="factor">The factor parameter for smoothing control.</param>
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public Rsx(object source, int period, int phase = DefaultPhase, double factor = DefaultFactor) : this(period, phase, factor)
{
var pubEvent = source.GetType().GetEvent("Pub");
pubEvent?.AddEventHandler(source, new ValueSignal(Sub));
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
protected override void ManageState(bool isNew)
{
if (isNew)
{
_index++;
_p_prevValue = _prevValue;
}
else
{
_prevValue = _p_prevValue;
}
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
private static (double gain, double loss) CalculateGainLoss(double change)
{
return (Math.Max(change, 0), Math.Max(-change, 0));
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
private static double CalculateRsi(double avgGain, double avgLoss)
{
return avgLoss > 0 ? ScalingFactor - (ScalingFactor / (1 + (avgGain / avgLoss))) : ScalingFactor;
}
[MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
protected override double Calculation()
{
ManageState(Input.IsNew);
if (_index == 1)
{
_prevValue = Input.Value;
}
// Calculate RSI components
double change = Input.Value - _prevValue;
var (gain, loss) = CalculateGainLoss(change);
_prevValue = Input.Value;
// Calculate RSI
_avgGain.Calc(gain, Input.IsNew);
_avgLoss.Calc(loss, Input.IsNew);
double rsi = CalculateRsi(_avgGain.Value, _avgLoss.Value);
// Apply JMA smoothing
_rsx.Calc(rsi, Input.IsNew);
return _rsx.Value;
}
}