Deutsch DE
Auf GitHub ansehen

Donchian-Breiten-Mean-Reversion-Strategie

Die Donchian-Breiten-Mean-Reversion-Strategie konzentriert sich auf extreme Ablesungen des Donchian-Kanals, um Rückkehrpotenziale zu nutzen. Starke Abweichungen vom normalen Niveau halten selten an.

Tests zeigen eine durchschnittliche jährliche Rendite von etwa 121%. Die Strategie funktioniert am besten auf dem Kryptomarkt.

Trades werden ausgelöst, wenn der Indikator weit von seinem Mittelwert abweicht und dann beginnt, sich umzukehren. Sowohl Long- als auch Short-Setups beinhalten einen Schutz-Stop.

Geeignet für Swing-Trader, die Schwankungen erwarten. Die Strategie schließt Positionen, sobald der Donchian-Kanal wieder zum Gleichgewicht zurückkehrt. Ausgangsparameter DonchianPeriod = 20.

Details

  • Einstiegskriterien: Indikator kreuzt zurück zum Mittelwert.
  • Long/Short: Beide Richtungen.
  • Ausstiegskriterien: Indikator kehrt zum Durchschnitt zurück.
  • Stops: Ja.
  • Standardwerte:
    • DonchianPeriod = 20
    • LookbackPeriod = 20
    • DeviationMultiplier = 2.0m
    • StopLossPercent = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filter:
    • Kategorie: Mean Reversion
    • Richtung: Beide
    • Indikatoren: Donchian
    • Stops: Ja
    • Komplexität: Mittel
    • Zeitrahmen: Kurzfristig
    • Saisonalität: Nein
    • Neuronale Netze: Nein
    • Divergenz: Nein
    • Risikolevel: Mittel
using System;
using System.Collections.Generic;

using Ecng.Common;

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

namespace StockSharp.Samples.Strategies;

/// <summary>
/// Donchian width mean reversion strategy.
/// Trades contractions and expansions of Donchian Channel width around its recent average.
/// </summary>
public class DonchianWidthMeanReversionStrategy : Strategy
{
	private readonly StrategyParam<int> _donchianPeriod;
	private readonly StrategyParam<int> _lookbackPeriod;
	private readonly StrategyParam<decimal> _deviationMultiplier;
	private readonly StrategyParam<decimal> _stopLossPercent;
	private readonly StrategyParam<int> _cooldownBars;
	private readonly StrategyParam<DataType> _candleType;

	private DonchianChannels _donchian;
	private decimal[] _widthHistory;
	private int _currentIndex;
	private int _filledCount;
	private int _cooldown;

	/// <summary>
	/// Donchian Channel period.
	/// </summary>
	public int DonchianPeriod
	{
		get => _donchianPeriod.Value;
		set => _donchianPeriod.Value = value;
	}

	/// <summary>
	/// Lookback period for width statistics.
	/// </summary>
	public int LookbackPeriod
	{
		get => _lookbackPeriod.Value;
		set => _lookbackPeriod.Value = value;
	}

	/// <summary>
	/// Deviation multiplier for mean reversion detection.
	/// </summary>
	public decimal DeviationMultiplier
	{
		get => _deviationMultiplier.Value;
		set => _deviationMultiplier.Value = value;
	}

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

	/// <summary>
	/// Cooldown bars between orders.
	/// </summary>
	public int CooldownBars
	{
		get => _cooldownBars.Value;
		set => _cooldownBars.Value = value;
	}

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

	/// <summary>
	/// Initializes a new instance of <see cref="DonchianWidthMeanReversionStrategy"/>.
	/// </summary>
	public DonchianWidthMeanReversionStrategy()
	{
		_donchianPeriod = Param(nameof(DonchianPeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("Donchian Period", "Donchian Channel period", "Indicators")
			.SetOptimize(10, 50, 5);

		_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("Lookback Period", "Lookback period for width statistics", "Strategy Parameters")
			.SetOptimize(10, 50, 5);

		_deviationMultiplier = Param(nameof(DeviationMultiplier), 1.5m)
			.SetGreaterThanZero()
			.SetDisplay("Deviation Multiplier", "Deviation multiplier for mean reversion detection", "Strategy Parameters")
			.SetOptimize(1m, 3m, 0.5m);

		_stopLossPercent = Param(nameof(StopLossPercent), 2m)
			.SetGreaterThanZero()
			.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management");

		_cooldownBars = Param(nameof(CooldownBars), 1200)
			.SetRange(1, 5000)
			.SetDisplay("Cooldown Bars", "Bars to wait between orders", "Risk Management");

		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Candle type for strategy", "General");
	}

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

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_donchian = null;
		_currentIndex = default;
		_filledCount = default;
		_cooldown = default;
		_widthHistory = new decimal[LookbackPeriod];
	}

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

		_donchian = new DonchianChannels { Length = DonchianPeriod };
		_widthHistory = new decimal[LookbackPeriod];
		_currentIndex = 0;
		_filledCount = 0;
		_cooldown = 0;

		var subscription = SubscribeCandles(CandleType);
		subscription
			.BindEx(_donchian, ProcessDonchian)
			.Start();

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

		StartProtection(new(), new Unit(StopLossPercent, UnitTypes.Percent));
	}

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

		if (!_donchian.IsFormed)
			return;

		var typedValue = (DonchianChannelsValue)donchianValue;
		if (typedValue.UpperBand is not decimal upperBand ||
			typedValue.LowerBand is not decimal lowerBand)
			return;

		var width = upperBand - lowerBand;

		_widthHistory[_currentIndex] = width;
		_currentIndex = (_currentIndex + 1) % LookbackPeriod;

		if (_filledCount < LookbackPeriod)
			_filledCount++;

		if (_filledCount < LookbackPeriod)
			return;

		var avgWidth = 0m;
		var sumSq = 0m;

		for (var i = 0; i < LookbackPeriod; i++)
			avgWidth += _widthHistory[i];

		avgWidth /= LookbackPeriod;

		for (var i = 0; i < LookbackPeriod; i++)
		{
			var diff = _widthHistory[i] - avgWidth;
			sumSq += diff * diff;
		}

		var stdWidth = (decimal)Math.Sqrt((double)(sumSq / LookbackPeriod));

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		if (_cooldown > 0)
		{
			_cooldown--;
			return;
		}

		var narrowThreshold = avgWidth - stdWidth * DeviationMultiplier;
		var wideThreshold = avgWidth + stdWidth * DeviationMultiplier;

		if (Position == 0)
		{
			if (width < narrowThreshold)
			{
				BuyMarket();
				_cooldown = CooldownBars;
			}
			else if (width > wideThreshold)
			{
				SellMarket();
				_cooldown = CooldownBars;
			}
		}
		else if (Position > 0 && width >= avgWidth)
		{
			SellMarket(Math.Abs(Position));
			_cooldown = CooldownBars;
		}
		else if (Position < 0 && width <= avgWidth)
		{
			BuyMarket(Math.Abs(Position));
			_cooldown = CooldownBars;
		}
	}
}