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CAi Standard Deviation Strategy

This strategy is a StockSharp port of the original MQL5 expert Exp_i-CAi_StDev. It combines a moving average with standard deviation bands to detect breakouts and subsequent reversals.

Strategy Logic

  1. Calculate a simple moving average (SMA) over the specified period.
  2. Compute the standard deviation of closing prices over the same period.
  3. Build two sets of bands around the SMA:
    • Entry bands: SMA ± OpenMultiplier × StdDev.
    • Exit bands: SMA ± CloseMultiplier × StdDev.
  4. Open a long position when the price closes above the upper entry band.
  5. Open a short position when the price closes below the lower entry band.
  6. Close an existing long position when price drops below the upper exit band.
  7. Close an existing short position when price rises above the lower exit band.

Parameters

Name Description Default
MaLength Length of the moving average and standard deviation calculation 12
StdDevPeriod Period for the standard deviation indicator 9
OpenMultiplier Multiplier for entry bands 2.5
CloseMultiplier Multiplier for exit bands 1.5
CandleType Type of candles used by the strategy 5-minute candles

Notes

  • The strategy uses the high-level API with Bind to receive indicator values.
  • Only finished candles are processed to avoid premature signals.
  • All comments in the source code are provided in English.
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 moving average and standard deviation bands.
/// Opens positions when price breaks outside a wide band
/// and closes them when price returns inside a narrower band.
/// </summary>
public class CaiStandardDeviationStrategy : Strategy
{
	private readonly StrategyParam<int> _maLength;
	private readonly StrategyParam<int> _stdDevPeriod;
	private readonly StrategyParam<decimal> _openMultiplier;
	private readonly StrategyParam<decimal> _closeMultiplier;
	private readonly StrategyParam<DataType> _candleType;

	public int MaLength { get => _maLength.Value; set => _maLength.Value = value; }
	public int StdDevPeriod { get => _stdDevPeriod.Value; set => _stdDevPeriod.Value = value; }
	public decimal OpenMultiplier { get => _openMultiplier.Value; set => _openMultiplier.Value = value; }
	public decimal CloseMultiplier { get => _closeMultiplier.Value; set => _closeMultiplier.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public CaiStandardDeviationStrategy()
	{
		_maLength = Param(nameof(MaLength), 12)
			.SetDisplay("MA Length", "Moving average length", "Parameters")
			.SetOptimize(5, 50, 5);

		_stdDevPeriod = Param(nameof(StdDevPeriod), 9)
			.SetDisplay("StdDev Period", "Standard deviation period", "Parameters")
			.SetOptimize(5, 50, 5);

		_openMultiplier = Param(nameof(OpenMultiplier), 2.5m)
			.SetDisplay("Open Multiplier", "StdDev multiplier for entries", "Parameters")
			.SetOptimize(1m, 3m, 0.5m);

		_closeMultiplier = Param(nameof(CloseMultiplier), 1.5m)
			.SetDisplay("Close Multiplier", "StdDev multiplier for exits", "Parameters")
			.SetOptimize(0.5m, 2m, 0.5m);

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

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

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

		var sma = new SimpleMovingAverage { Length = MaLength };
		var stdDev = new StandardDeviation { Length = StdDevPeriod };

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(sma, stdDev, ProcessCandle)
			.Start();

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

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

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		var upperOpen = smaValue + OpenMultiplier * stdDevValue;
		var lowerOpen = smaValue - OpenMultiplier * stdDevValue;
		var upperClose = smaValue + CloseMultiplier * stdDevValue;
		var lowerClose = smaValue - CloseMultiplier * stdDevValue;

		if (Position <= 0 && candle.ClosePrice > upperOpen)
			BuyMarket();

		if (Position >= 0 && candle.ClosePrice < lowerOpen)
			SellMarket();

		if (Position > 0 && candle.ClosePrice < upperClose)
			SellMarket();

		if (Position < 0 && candle.ClosePrice > lowerClose)
			BuyMarket();
	}
}