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Color HMA StDev

Strategy based on Hull Moving Average with a dynamic standard deviation filter.

The system watches how far price deviates from the HMA. When the close breaks above the average by a chosen multiple of the standard deviation the strategy enters long, and vice versa for short positions. A wider multiplier defines an exit zone so that positions are closed only after a significant return inside the band.

This approach attempts to capture fast momentum bursts while avoiding noise. The Hull Moving Average reacts quickly to trend changes, and the standard deviation adapts to volatility allowing the thresholds to expand during turbulent markets. The strategy trades in both directions and does not use fixed stops, relying instead on the mean reversion of price back toward the HMA.

Details

  • Entry Criteria: Close crossing HMA ± K1 * StdDev.
  • Long/Short: Both directions.
  • Exit Criteria: Close crossing HMA ± K2 * StdDev in opposite direction.
  • Stops: No fixed stop-loss or take-profit.
  • Default Values:
    • HmaPeriod = 13
    • StdPeriod = 9
    • K1 = 1.5m
    • K2 = 2.5m
    • CandleType = TimeSpan.FromHours(4)
  • Filters:
    • Category: Trend, Volatility
    • Direction: Both
    • Indicators: HMA, Standard Deviation
    • Stops: No
    • Complexity: Intermediate
    • Timeframe: 4h
    • Seasonality: No
    • Neural Networks: No
    • Divergence: 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;

/// <summary>
/// Strategy based on Hull Moving Average with standard deviation filter.
/// Opens positions when price deviates from the HMA by a defined multiplier.
/// </summary>
public class ColorHmaStDevStrategy : Strategy
{
	private readonly StrategyParam<int> _hmaPeriod;
	private readonly StrategyParam<int> _stdPeriod;
	private readonly StrategyParam<decimal> _k1;
	private readonly StrategyParam<DataType> _candleType;

	public int HmaPeriod { get => _hmaPeriod.Value; set => _hmaPeriod.Value = value; }
	public int StdPeriod { get => _stdPeriod.Value; set => _stdPeriod.Value = value; }
	public decimal K1 { get => _k1.Value; set => _k1.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public ColorHmaStDevStrategy()
	{
		_hmaPeriod = Param(nameof(HmaPeriod), 13)
			.SetDisplay("HMA Period", "Hull Moving Average period", "Indicators")
			.SetOptimize(5, 30, 2);

		_stdPeriod = Param(nameof(StdPeriod), 9)
			.SetDisplay("StdDev Period", "Standard deviation period", "Indicators")
			.SetOptimize(5, 20, 1);

		_k1 = Param(nameof(K1), 0.5m)
			.SetDisplay("Entry Multiplier", "Deviation multiplier for entry", "Parameters")
			.SetOptimize(0.5m, 3m, 0.5m);

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

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

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

		var hma = new HullMovingAverage { Length = HmaPeriod };
		var std = new StandardDeviation { Length = StdPeriod };

		var subscription = SubscribeCandles(CandleType);
		subscription
			.Bind(hma, std, ProcessCandle)
			.Start();

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

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

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		if (stdValue == 0)
			return;

		var upperEntry = hmaValue + K1 * stdValue;
		var lowerEntry = hmaValue - K1 * stdValue;

		if (candle.ClosePrice > upperEntry && Position <= 0)
			BuyMarket();
		else if (candle.ClosePrice < lowerEntry && Position >= 0)
			SellMarket();
	}
}