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MACD Mean Reversion-Strategie

Diese Methode verfolgt das MACD-Histogramm im Verhältnis zu seinem eigenen Durchschnitt. Extreme Histogrammwerte kehren oft um, sobald der Schwung nachlässt. Durch die Überwachung der Differenz zwischen MACD und seiner Signallinie findet die Strategie überdehnte Bewegungen.

Tests zeigen eine durchschnittliche jährliche Rendite von etwa 67%. Er funktioniert am besten auf dem Aktienmarkt.

Eine Long-Position wird eingegangen, wenn das MACD-Histogramm um DeviationMultiplier Standardabweichungen unter den Mittelwert fällt. Eine Short-Position wird eröffnet, wenn das Histogramm um denselben Betrag über den Mittelwert steigt. Der Trade wird geschlossen, wenn das Histogramm wieder durch seinen Durchschnitt kreuzt.

Dieser Ansatz richtet sich an Trader, die sich damit wohlfühlen, gegen Momentumextreme zu handeln. Ein Stop-Loss, gemessen als Prozentsatz des Einstiegspreises, schützt gegen Trends, die weiter an Stärke gewinnen.

Details

  • Einstiegskriterien:
    • Long: MACD Histogram < Avg - DeviationMultiplier * StdDev
    • Short: MACD Histogram > Avg + DeviationMultiplier * StdDev
  • Long/Short: Beide Seiten.
  • Ausstiegskriterien:
    • Long: Ausstieg wenn Histogram > Avg
    • Short: Ausstieg wenn Histogram < Avg
  • Stops: Ja, prozentualer Stop-Loss.
  • Standardwerte:
    • FastMacdPeriod = 12
    • SlowMacdPeriod = 26
    • SignalPeriod = 9
    • AveragePeriod = 20
    • DeviationMultiplier = 2
    • StopLossPercent = 2
    • CandleType = TimeSpan.FromMinutes(5) Avg und StdDev sind Mittelwert und Standardabweichung der letzten AveragePeriod Werte von MACD-Histogramm einschließlich des aktuellen. Der Stop liegt bei festen StopLossPercent vom Einstiegspreis und wird auch zwischen den Kerzen überwacht; 0 schaltet ihn ab. Ein Einstiegssignal gegen eine offene Position dreht sie.
  • Filter:
    • Kategorie: Mean Reversion
    • Richtung: Beide
    • Indikatoren: MACD
    • Stops: Ja
    • Komplexität: Mittel
    • Zeitrahmen: Intraday
    • Saisonalität: Nein
    • Neuronale Netze: Nein
    • Divergenz: Nein
    • Risikolevel: Mittel
using System;
using System.Collections.Generic;
using System.Linq;

using Ecng.Common;

using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;

namespace StockSharp.Samples.Strategies;

/// <summary>
/// MACD Mean Reversion strategy.
/// The bands lie DeviationMultiplier standard deviations around the average of the last AveragePeriod histogram values, the current one included.
/// histogram below the lower band goes long and histogram above the upper band goes short,
/// reversing an opposite position. A long closes once histogram is back above its average and a short once it is back below it, and a percent stop limits the loss.
/// </summary>
public class MacdMeanReversionStrategy : Strategy
{
	private readonly StrategyParam<int> _fastMacdPeriod;
	private readonly StrategyParam<int> _slowMacdPeriod;
	private readonly StrategyParam<int> _signalPeriod;
	private readonly StrategyParam<int> _averagePeriod;
	private readonly StrategyParam<decimal> _deviationMultiplier;
	private readonly StrategyParam<decimal> _stopLossPercent;
	private readonly StrategyParam<DataType> _candleType;

	private readonly Queue<decimal> _values = [];

	/// <summary>
	/// Fast EMA period of MACD.
	/// </summary>
	public int FastMacdPeriod
	{
		get => _fastMacdPeriod.Value;
		set => _fastMacdPeriod.Value = value;
	}

	/// <summary>
	/// Slow EMA period of MACD.
	/// </summary>
	public int SlowMacdPeriod
	{
		get => _slowMacdPeriod.Value;
		set => _slowMacdPeriod.Value = value;
	}

	/// <summary>
	/// Signal line period of MACD.
	/// </summary>
	public int SignalPeriod
	{
		get => _signalPeriod.Value;
		set => _signalPeriod.Value = value;
	}

	/// <summary>
	/// Values of histogram the average and the standard deviation span.
	/// </summary>
	public int AveragePeriod
	{
		get => _averagePeriod.Value;
		set => _averagePeriod.Value = value;
	}

	/// <summary>
	/// Standard deviations between the average and a band.
	/// </summary>
	public decimal DeviationMultiplier
	{
		get => _deviationMultiplier.Value;
		set => _deviationMultiplier.Value = value;
	}

	/// <summary>
	/// Stop loss percentage from entry price.
	/// </summary>
	public decimal StopLossPercent
	{
		get => _stopLossPercent.Value;
		set => _stopLossPercent.Value = value;
	}

	/// <summary>
	/// Candle type.
	/// </summary>
	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

	/// <summary>
	/// Constructor.
	/// </summary>
	public MacdMeanReversionStrategy()
	{
		_fastMacdPeriod = Param(nameof(FastMacdPeriod), 12)
			.SetGreaterThanZero()
			.SetDisplay("MACD Fast", "Fast EMA period of MACD", "Indicators");

		_slowMacdPeriod = Param(nameof(SlowMacdPeriod), 26)
			.SetGreaterThanZero()
			.SetDisplay("MACD Slow", "Slow EMA period of MACD", "Indicators");

		_signalPeriod = Param(nameof(SignalPeriod), 9)
			.SetGreaterThanZero()
			.SetDisplay("MACD Signal", "Signal line period of MACD", "Indicators");

		_averagePeriod = Param(nameof(AveragePeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("Average Period", "Values of histogram the average and the standard deviation span", "Indicators");

		_deviationMultiplier = Param(nameof(DeviationMultiplier), 2m)
			.SetGreaterThanZero()
			.SetDisplay("Multiplier", "Standard deviations between the average and a band", "Indicators");

		_stopLossPercent = Param(nameof(StopLossPercent), 2m)
			.SetNotNegative()
			.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");

		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles to use", "General");
	}

	/// <inheritdoc />
	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
	{
		return [(Security, CandleType)];
	}

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_values.Clear();
	}

	/// <inheritdoc />
	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		_values.Clear();

		var macd = new MovingAverageConvergenceDivergenceSignal
		{
			Macd =
			{
				ShortMa = { Length = FastMacdPeriod },
				LongMa = { Length = SlowMacdPeriod },
			},
			SignalMa = { Length = SignalPeriod }
		};

		var subscription = SubscribeCandles(CandleType);
		subscription
			.BindEx(macd, ProcessCandle)
			.Start();

		StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);

		// The stop has to see prices between candles, not only at their close.
		foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
		{
			var quotes = new Subscription(DataType.Level1, Security);
			quotes.MarketData.BuildField = field;
			SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
		}

		var area = CreateChartArea();
		if (area != null)
		{
			DrawCandles(area, subscription);
			DrawOwnTrades(area);

			var oscillators = CreateChartArea();
			if (oscillators != null)
			{
				DrawIndicator(oscillators, macd);
			}
		}
	}

	private void ObserveProtectionQuote(Level1ChangeMessage quote)
	{
		// The high-level handler activates native protection before this callback, also between signal bars.
	}

	private void ProcessCandle(ICandleMessage candle, IIndicatorValue macdValue)
	{
		if (candle.State != CandleStates.Finished)
			return;

		if (!macdValue.IsFormed || macdValue is not MovingAverageConvergenceDivergenceSignalValue { Macd: decimal macd, Signal: decimal signal })
			return;

		// The histogram is the MACD line minus its signal line.
		var value = macd - signal;

		_values.Enqueue(value);

		if (_values.Count > AveragePeriod)
			_values.Dequeue();

		if (_values.Count < AveragePeriod)
			return;

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		var mean = _values.Average();
		var deviation = (decimal)Math.Sqrt((double)_values.Average(v => (v - mean) * (v - mean)));
		var upper = mean + DeviationMultiplier * deviation;
		var lower = mean - DeviationMultiplier * deviation;

		if (value < lower && Position <= 0)
			BuyMarket(Volume + Math.Abs(Position));
		else if (value > upper && Position >= 0)
			SellMarket(Volume + Math.Abs(Position));
		else if (Position > 0 && value > mean)
			SellMarket(Position);
		else if (Position < 0 && value < mean)
			BuyMarket(-Position);
	}
}