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Estrategia de Reversión a la Media por Ancho de Bollinger

La estrategia de Reversión a la Media por Ancho de Bollinger se centra en lecturas extremas de las Bollinger para explotar la reversión. Las grandes desviaciones del nivel promedio rara vez perduran.

Las pruebas indican un rendimiento anual promedio de aproximadamente 157%. Funciona mejor en el mercado de criptomonedas.

Las operaciones se activan cuando el indicador se aleja mucho de su media y luego comienza a revertirse. Tanto las configuraciones largas como cortas incluyen un stop protector.

Adecuada para operadores de swing que esperan oscilaciones, la estrategia cierra las posiciones una vez que las Bollinger regresan al equilibrio. Parámetro inicial BollingerLength = 20.

Detalles

  • Criterios de entrada: El indicador cruza de regreso hacia la media.
  • Largo/Corto: Ambas direcciones.
  • Criterios de salida: El indicador revierte al promedio.
  • Stops: Sí.
  • Valores predeterminados:
    • BollingerLength = 20
    • BollingerDeviation = 2.0m
    • WidthLookbackPeriod = 20
    • WidthDeviationMultiplier = 2.0m
    • AtrPeriod = 14
    • AtrMultiplier = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filtros:
    • Categoría: Mean Reversion
    • Dirección: Ambos
    • Indicadores: Bollinger
    • Stops: Sí
    • Complejidad: Intermedio
    • Marco temporal: Corto plazo
    • Estacionalidad: No
    • Redes neuronales: No
    • Divergencia: No
    • Nivel de riesgo: Medio
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>
/// Bollinger width mean reversion strategy.
/// Trades contractions and expansions of normalized Bollinger Bands width around its recent average.
/// </summary>
public class BollingerWidthMeanReversionStrategy : Strategy
{
	private readonly StrategyParam<int> _bollingerLength;
	private readonly StrategyParam<decimal> _bollingerDeviation;
	private readonly StrategyParam<int> _widthLookbackPeriod;
	private readonly StrategyParam<decimal> _widthDeviationMultiplier;
	private readonly StrategyParam<decimal> _stopLossPercent;
	private readonly StrategyParam<DataType> _candleType;
	private readonly StrategyParam<int> _cooldownBars;

	private BollingerBands _bollinger;
	private decimal[] _widthHistory;
	private int _currentIndex;
	private int _filledCount;
	private int _cooldown;

	/// <summary>
	/// Period for Bollinger Bands calculation.
	/// </summary>
	public int BollingerLength
	{
		get => _bollingerLength.Value;
		set => _bollingerLength.Value = value;
	}

	/// <summary>
	/// Deviation multiplier for Bollinger Bands.
	/// </summary>
	public decimal BollingerDeviation
	{
		get => _bollingerDeviation.Value;
		set => _bollingerDeviation.Value = value;
	}

	/// <summary>
	/// Lookback period for width statistics.
	/// </summary>
	public int WidthLookbackPeriod
	{
		get => _widthLookbackPeriod.Value;
		set => _widthLookbackPeriod.Value = value;
	}

	/// <summary>
	/// Multiplier for width standard deviation thresholds.
	/// </summary>
	public decimal WidthDeviationMultiplier
	{
		get => _widthDeviationMultiplier.Value;
		set => _widthDeviationMultiplier.Value = value;
	}

	/// <summary>
	/// Stop loss percentage.
	/// </summary>
	public decimal StopLossPercent
	{
		get => _stopLossPercent.Value;
		set => _stopLossPercent.Value = value;
	}

	/// <summary>
	/// Candle type.
	/// </summary>
	public DataType CandleType
	{
		get => _candleType.Value;
		set => _candleType.Value = value;
	}

	/// <summary>
	/// Cooldown bars between orders.
	/// </summary>
	public int CooldownBars
	{
		get => _cooldownBars.Value;
		set => _cooldownBars.Value = value;
	}

	/// <summary>
	/// Initializes a new instance of <see cref="BollingerWidthMeanReversionStrategy"/>.
	/// </summary>
	public BollingerWidthMeanReversionStrategy()
	{
		_bollingerLength = Param(nameof(BollingerLength), 20)
			.SetGreaterThanZero()
			.SetDisplay("Bollinger Length", "Period for Bollinger Bands calculation", "Indicators")
			.SetOptimize(10, 50, 5);

		_bollingerDeviation = Param(nameof(BollingerDeviation), 2m)
			.SetGreaterThanZero()
			.SetDisplay("Bollinger Deviation", "Deviation multiplier for Bollinger Bands", "Indicators")
			.SetOptimize(1m, 3m, 0.5m);

		_widthLookbackPeriod = Param(nameof(WidthLookbackPeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("Width Lookback", "Lookback for width mean", "Strategy Parameters")
			.SetOptimize(10, 50, 5);

		_widthDeviationMultiplier = Param(nameof(WidthDeviationMultiplier), 1m)
			.SetGreaterThanZero()
			.SetDisplay("Width Dev Mult", "Multiplier for width standard deviation threshold", "Strategy Parameters")
			.SetOptimize(0.5m, 3m, 0.5m);

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

		_cooldownBars = Param(nameof(CooldownBars), 1200)
			.SetRange(1, 5000)
			.SetDisplay("Cooldown Bars", "Bars to wait between orders", "Risk Management");

		_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles to use", "General");
	}

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

	/// <inheritdoc />
	protected override void OnReseted()
	{
		base.OnReseted();
		_bollinger = null;
		_currentIndex = default;
		_filledCount = default;
		_cooldown = default;
		_widthHistory = new decimal[WidthLookbackPeriod];
	}

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

		_bollinger = new BollingerBands
		{
			Length = BollingerLength,
			Width = BollingerDeviation,
		};

		_widthHistory = new decimal[WidthLookbackPeriod];
		_currentIndex = 0;
		_filledCount = 0;
		_cooldown = 0;

		var subscription = SubscribeCandles(CandleType);
		subscription
			.BindEx(_bollinger, ProcessCandle)
			.Start();

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

		StartProtection(new(), new Unit(StopLossPercent, UnitTypes.Percent));
	}

	private void ProcessCandle(ICandleMessage candle, IIndicatorValue bollingerValue)
	{
		if (candle.State != CandleStates.Finished)
			return;

		if (!_bollinger.IsFormed)
			return;

		var bb = (BollingerBandsValue)bollingerValue;
		if (bb.UpBand is not decimal upperBand ||
			bb.LowBand is not decimal lowerBand ||
			bb.MovingAverage is not decimal middleBand)
			return;

		if (middleBand <= 0)
			return;

		var lastWidth = (upperBand - lowerBand) / middleBand;

		_widthHistory[_currentIndex] = lastWidth;
		_currentIndex = (_currentIndex + 1) % WidthLookbackPeriod;

		if (_filledCount < WidthLookbackPeriod)
			_filledCount++;

		if (_filledCount < WidthLookbackPeriod)
			return;

		var avgWidth = 0m;
		var sumSq = 0m;

		for (var i = 0; i < WidthLookbackPeriod; i++)
			avgWidth += _widthHistory[i];

		avgWidth /= WidthLookbackPeriod;

		if (avgWidth <= 0)
			return;

		for (var i = 0; i < WidthLookbackPeriod; i++)
		{
			var diff = _widthHistory[i] - avgWidth;
			sumSq += diff * diff;
		}

		var stdWidth = (decimal)Math.Sqrt((double)(sumSq / WidthLookbackPeriod));

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

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

		var lowerThreshold = avgWidth - WidthDeviationMultiplier * stdWidth;
		var upperThreshold = avgWidth + WidthDeviationMultiplier * stdWidth;

		if (Position == 0)
		{
			if (lastWidth < lowerThreshold)
			{
				BuyMarket();
				_cooldown = CooldownBars;
			}
			else if (lastWidth > upperThreshold)
			{
				SellMarket();
				_cooldown = CooldownBars;
			}
		}
		else if (Position > 0 && lastWidth >= avgWidth)
		{
			SellMarket(Math.Abs(Position));
			_cooldown = CooldownBars;
		}
		else if (Position < 0 && lastWidth <= avgWidth)
		{
			BuyMarket(Math.Abs(Position));
			_cooldown = CooldownBars;
		}
	}
}