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EUR/USD Multi-Layer Statistical Regression Strategy

Strategy that uses multiple linear regression layers to estimate trend direction on EUR/USD. It calculates short, medium and long regressions, validates them by R² and slope thresholds and trades in the direction of the weighted ensemble.

Details

  • Entry Criteria:
    • Long: weighted slope > 0 and reliability > 0.5
    • Short: weighted slope < 0 and reliability > 0.5
  • Long/Short: Both
  • Exit Criteria: Reverse when opposite signal appears
  • Stops: Daily loss protection
  • Default Values:
    • ShortLength = 20
    • MediumLength = 50
    • LongLength = 100
    • MinRSquared = 0.45m
    • SlopeThreshold = 0.00005m
    • WeightShort = 0.4m
    • WeightMedium = 0.35m
    • WeightLong = 0.25m
    • PositionSizePct = 50m
    • MaxDailyLossPct = 12m
    • CandleType = TimeSpan.FromMinutes(5).TimeFrame()
  • Filters:
    • Category: Trend
    • Direction: Both
    • Indicators: Linear Regression
    • Stops: Yes
    • Complexity: Advanced
    • Timeframe: Mid-term
    • Seasonality: No
    • Neural Networks: No
    • Risk Level: Medium
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;

public class EurUsdMultiLayerStatisticalRegressionStrategy : Strategy
{
	private readonly StrategyParam<int> _fastEmaPeriod;
	private readonly StrategyParam<int> _slowEmaPeriod;
	private readonly StrategyParam<DataType> _candleType;
	private decimal _prevFastEma;
	private decimal _prevSlowEma;

	public int FastEmaPeriod { get => _fastEmaPeriod.Value; set => _fastEmaPeriod.Value = value; }
	public int SlowEmaPeriod { get => _slowEmaPeriod.Value; set => _slowEmaPeriod.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public EurUsdMultiLayerStatisticalRegressionStrategy()
	{
		_fastEmaPeriod = Param(nameof(FastEmaPeriod), 120)
			.SetGreaterThanZero()
			.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
		_slowEmaPeriod = Param(nameof(SlowEmaPeriod), 450)
			.SetGreaterThanZero()
			.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles to use", "General");
	}

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

	protected override void OnReseted()
	{
		base.OnReseted();
		_prevFastEma = 0m;
		_prevSlowEma = 0m;
	}

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);
		var fastEma = new ExponentialMovingAverage { Length = FastEmaPeriod };
		var slowEma = new ExponentialMovingAverage { Length = SlowEmaPeriod };
		var subscription = SubscribeCandles(CandleType);
		subscription.Bind(fastEma, slowEma, ProcessCandle).Start();
		var area = CreateChartArea();
		if (area != null)
		{
			DrawCandles(area, subscription);
			DrawIndicator(area, fastEma);
			DrawIndicator(area, slowEma);
			DrawOwnTrades(area);
		}
	}

	private void ProcessCandle(ICandleMessage candle, decimal fastEmaValue, decimal slowEmaValue)
	{
		if (candle.State != CandleStates.Finished) return;
		if (_prevFastEma == 0m || _prevSlowEma == 0m)
		{
			_prevFastEma = fastEmaValue;
			_prevSlowEma = slowEmaValue;
			return;
		}
		if (_prevFastEma <= _prevSlowEma && fastEmaValue > slowEmaValue && Position <= 0)
			BuyMarket();
		else if (_prevFastEma >= _prevSlowEma && fastEmaValue < slowEmaValue && Position >= 0)
			SellMarket();
		_prevFastEma = fastEmaValue;
		_prevSlowEma = slowEmaValue;
	}
}