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Fortgeschrittene adaptive Gitter-Strategie

Die fortgeschrittene adaptive Gitter-Strategie verwendet mehrere technische Indikatoren zur Bewertung der Trendrichtung und baut ein dynamisches Gitter von Einstiegsniveaus auf. Die Gittergröße passt sich über ATR an die Volatilität an, und Orders werden platziert, wenn der Preis Gitterniveaus in Trendrichtung berührt. Zu den Risikokontrollen gehören fester Stop-Loss, Take-Profit, Trailing-Stop, zeitbasierter Ausstieg und tägliches Verlustlimit.

Details

  • Einstiegskriterien:
    • In Trendmärkten: Preis erreicht berechnete Gitterniveaus mit RSI-Bestätigung.
    • In Seitwärtsmärkten: überkaufter/überverkaufter RSI löst Gitter-Einstiege aus.
  • Long/Short: Beide Seiten.
  • Ausstiegskriterien:
    • Stop-Loss, Take-Profit, Trailing-Stop, Trendumkehr oder zeitbasierter Ausstieg.
  • Stops: Fest und Trailing.
  • Standardwerte:
    • BaseGridSize = 1
    • MaxPositions = 5
    • UseVolatilityGrid = True
    • AtrLength = 14
    • AtrMultiplier = 1.5
    • RsiLength = 14
    • RsiOverbought = 70
    • RsiOversold = 30
    • ShortMaLength = 20
    • LongMaLength = 50
    • SuperLongMaLength = 200
    • MacdFastLength = 12
    • MacdSlowLength = 26
    • MacdSignalLength = 9
    • StopLossPercent = 2
    • TakeProfitPercent = 3
    • UseTrailingStop = True
    • TrailingStopPercent = 1
    • MaxLossPerDay = 5
    • TimeBasedExit = True
    • MaxHoldingPeriod = 48
  • Filter:
    • Kategorie: Gitter / Trend
    • Richtung: Beide
    • Indikatoren: ATR, SMA, MACD, RSI, Momentum
    • Stops: Ja
    • Komplexität: Hoch
    • Zeitrahmen: Beliebig
    • Saisonalität: Nein
    • Neuronale Netze: Nein
    • Divergenz: Nein
    • Risikolevel: Hoch
namespace StockSharp.Samples.Strategies;

using System;
using System.Collections.Generic;

using Ecng.Common;

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

/// <summary>
/// Advanced Adaptive Grid Trading Strategy.
/// Uses RSI extremes and MA trend to enter, with percentage-based stop/TP.
/// </summary>
public class AdvancedAdaptiveGridStrategy : Strategy
{
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _rsiLength;
	private readonly StrategyParam<int> _rsiOverbought;
	private readonly StrategyParam<int> _rsiOversold;
	private readonly StrategyParam<int> _shortMaLength;
	private readonly StrategyParam<int> _longMaLength;
	private readonly StrategyParam<decimal> _stopLossPercent;
	private readonly StrategyParam<decimal> _takeProfitPercent;
	private readonly StrategyParam<int> _cooldownBars;

	private decimal _entryPrice;
	private int _cooldownRemaining;

	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
	public int RsiLength { get => _rsiLength.Value; set => _rsiLength.Value = value; }
	public int RsiOverbought { get => _rsiOverbought.Value; set => _rsiOverbought.Value = value; }
	public int RsiOversold { get => _rsiOversold.Value; set => _rsiOversold.Value = value; }
	public int ShortMaLength { get => _shortMaLength.Value; set => _shortMaLength.Value = value; }
	public int LongMaLength { get => _longMaLength.Value; set => _longMaLength.Value = value; }
	public decimal StopLossPercent { get => _stopLossPercent.Value; set => _stopLossPercent.Value = value; }
	public decimal TakeProfitPercent { get => _takeProfitPercent.Value; set => _takeProfitPercent.Value = value; }
	public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }

	public AdvancedAdaptiveGridStrategy()
	{
		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles", "General");

		_rsiLength = Param(nameof(RsiLength), 14)
			.SetGreaterThanZero()
			.SetDisplay("RSI Length", "RSI period", "Indicators");

		_rsiOverbought = Param(nameof(RsiOverbought), 70)
			.SetDisplay("RSI Overbought", "Overbought level", "Indicators");

		_rsiOversold = Param(nameof(RsiOversold), 30)
			.SetDisplay("RSI Oversold", "Oversold level", "Indicators");

		_shortMaLength = Param(nameof(ShortMaLength), 20)
			.SetGreaterThanZero()
			.SetDisplay("Short MA", "Short moving average length", "Trend");

		_longMaLength = Param(nameof(LongMaLength), 50)
			.SetGreaterThanZero()
			.SetDisplay("Long MA", "Long moving average length", "Trend");

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

		_takeProfitPercent = Param(nameof(TakeProfitPercent), 3m)
			.SetGreaterThanZero()
			.SetDisplay("Take Profit %", "Take profit percentage", "Risk");

		_cooldownBars = Param(nameof(CooldownBars), 10)
			.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
	}

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

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_entryPrice = 0;
		_cooldownRemaining = 0;
	}

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

		var rsi = new RelativeStrengthIndex { Length = RsiLength };
		var shortMa = new SimpleMovingAverage { Length = ShortMaLength };
		var longMa = new SimpleMovingAverage { Length = LongMaLength };

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(rsi, shortMa, longMa, ProcessCandle)
			.Start();

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

	private void ProcessCandle(ICandleMessage candle, decimal rsiValue, decimal shortMaValue, decimal longMaValue)
	{
		if (candle.State != CandleStates.Finished)
			return;

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		var currentPrice = candle.ClosePrice;
		var bullish = shortMaValue > longMaValue;
		var bearish = shortMaValue < longMaValue;

		// Check stop/TP for existing positions
		if (Position > 0 && _entryPrice > 0)
		{
			var stopPrice = _entryPrice * (1 - StopLossPercent / 100m);
			var tpPrice = _entryPrice * (1 + TakeProfitPercent / 100m);
			if (currentPrice <= stopPrice || currentPrice >= tpPrice)
			{
				SellMarket(Math.Abs(Position));
				_entryPrice = 0;
				_cooldownRemaining = CooldownBars;
				return;
			}
		}
		else if (Position < 0 && _entryPrice > 0)
		{
			var stopPrice = _entryPrice * (1 + StopLossPercent / 100m);
			var tpPrice = _entryPrice * (1 - TakeProfitPercent / 100m);
			if (currentPrice >= stopPrice || currentPrice <= tpPrice)
			{
				BuyMarket(Math.Abs(Position));
				_entryPrice = 0;
				_cooldownRemaining = CooldownBars;
				return;
			}
		}

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

		// Entry logic
		if (bullish && rsiValue < RsiOversold && Position <= 0)
		{
			if (Position < 0)
				BuyMarket(Math.Abs(Position));
			BuyMarket(Volume);
			_entryPrice = currentPrice;
			_cooldownRemaining = CooldownBars;
		}
		else if (bearish && rsiValue > RsiOverbought && Position >= 0)
		{
			if (Position > 0)
				SellMarket(Math.Abs(Position));
			SellMarket(Volume);
			_entryPrice = currentPrice;
			_cooldownRemaining = CooldownBars;
		}
		// Trend reversal exit
		else if (Position > 0 && bearish && rsiValue > RsiOverbought)
		{
			SellMarket(Math.Abs(Position));
			_entryPrice = 0;
			_cooldownRemaining = CooldownBars;
		}
		else if (Position < 0 && bullish && rsiValue < RsiOversold)
		{
			BuyMarket(Math.Abs(Position));
			_entryPrice = 0;
			_cooldownRemaining = CooldownBars;
		}
	}
}