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Divergence Trader Strategy

This strategy compares two simple moving averages (SMA) and trades based on the divergence between them.

It uses the difference between the fast and slow SMA from the previous candle as a divergence measure. If this divergence is positive but within a specified range, the strategy opens a long position. If the divergence is negative and within the mirrored range, it opens a short position. Risk is managed through optional stop-loss and take-profit levels.

Details

  • Entry Criteria:
    • Long: Previous fast SMA - previous slow SMA >= DvBuySell and <= DvStayOut.
    • Short: Previous fast SMA - previous slow SMA <= -DvBuySell and >= -DvStayOut.
  • Exit Criteria: Positions are closed via stop-loss or take-profit if configured.
  • Stops: Supported via StartProtection with absolute price offsets.
  • Default Values:
    • FastPeriod = 7
    • SlowPeriod = 88
    • DvBuySell = 0.0011
    • DvStayOut = 0.0079
  • Filters:
    • Category: Trend following
    • Direction: Both
    • Indicators: SMA
    • Stops: Optional
    • Complexity: Basic
    • Timeframe: Short-term
    • Seasonality: No
    • Neural networks: No
    • Divergence: Yes
    • 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;

/// <summary>
/// Strategy based on divergence between fast and slow EMA.
/// </summary>
public class DivergenceTraderStrategy : Strategy
{
	private readonly StrategyParam<int> _fastPeriod;
	private readonly StrategyParam<int> _slowPeriod;
	private readonly StrategyParam<DataType> _candleType;

	private decimal _prevFast;
	private decimal _prevSlow;
	private bool _hasPrev;

	public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
	public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public DivergenceTraderStrategy()
	{
		_fastPeriod = Param(nameof(FastPeriod), 12)
			.SetGreaterThanZero()
			.SetDisplay("Fast Period", "Fast EMA length", "Parameters");

		_slowPeriod = Param(nameof(SlowPeriod), 50)
			.SetGreaterThanZero()
			.SetDisplay("Slow Period", "Slow EMA length", "Parameters");

		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles", "General");
	}

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

	protected override void OnReseted()
	{
		base.OnReseted();
		_prevFast = 0;
		_prevSlow = 0;
		_hasPrev = false;
	}

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		var fastEma = new ExponentialMovingAverage { Length = FastPeriod };
		var slowEma = new ExponentialMovingAverage { Length = SlowPeriod };

		SubscribeCandles(CandleType)
			.Bind(fastEma, slowEma, ProcessCandle)
			.Start();
	}

	private void ProcessCandle(ICandleMessage candle, decimal fastValue, decimal slowValue)
	{
		if (candle.State != CandleStates.Finished) return;

		if (!_hasPrev)
		{
			_prevFast = fastValue;
			_prevSlow = slowValue;
			_hasPrev = true;
			return;
		}

		var crossUp = _prevFast <= _prevSlow && fastValue > slowValue;
		var crossDown = _prevFast >= _prevSlow && fastValue < slowValue;

		if (crossUp && Position <= 0)
		{
			if (Position < 0) BuyMarket();
			BuyMarket();
		}
		else if (crossDown && Position >= 0)
		{
			if (Position > 0) SellMarket();
			SellMarket();
		}

		_prevFast = fastValue;
		_prevSlow = slowValue;
	}
}