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ADX Slope Estrategia de Reversión a la Media

La estrategia ADX Slope de Reversión a la Media se centra en lecturas extremas del ADX para aprovechar la reversión. Las desviaciones amplias del nivel promedio raramente perduran.

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

Adecuada para traders de swing que esperan oscilaciones, la estrategia cierra la posición una vez que el ADX regresa al equilibrio. Parámetro inicial AdxPeriod = 14.

Detalles

  • Criterios de entrada: El indicador cruza de vuelta hacia la media.
  • Largo/Corto: Ambas direcciones.
  • Criterios de salida: El indicador revierte al promedio.
  • Stops: Sí.
  • Valores predeterminados:
    • AdxPeriod = 14
    • LookbackPeriod = 20
    • DeviationMultiplier = 1.0m
    • StopLossPercent = 2.0m
    • CandleType = TimeSpan.FromMinutes(5)
  • Filtros:
    • Categoría: Reversión a la media
    • Dirección: Ambos
    • Indicadores: ADX
    • 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>
/// ADX slope mean reversion strategy.
/// Trades reversion of extreme ADX slope moves once the recent slope distribution is formed.
/// </summary>
public class AdxSlopeMeanReversionStrategy : Strategy
{
	private readonly StrategyParam<int> _adxPeriod;
	private readonly StrategyParam<int> _slopeLookback;
	private readonly StrategyParam<decimal> _thresholdMultiplier;
	private readonly StrategyParam<decimal> _stopLossPercent;
	private readonly StrategyParam<int> _cooldownBars;
	private readonly StrategyParam<decimal> _minAdx;
	private readonly StrategyParam<DataType> _candleType;

	private AverageDirectionalIndex _adx;
	private decimal _previousAdxValue;
	private decimal[] _slopeHistory;
	private int _currentIndex;
	private int _filledCount;
	private int _cooldown;
	private bool _isInitialized;

	/// <summary>
	/// ADX period.
	/// </summary>
	public int AdxPeriod
	{
		get => _adxPeriod.Value;
		set => _adxPeriod.Value = value;
	}

	/// <summary>
	/// Lookback used to estimate slope mean and standard deviation.
	/// </summary>
	public int SlopeLookback
	{
		get => _slopeLookback.Value;
		set => _slopeLookback.Value = value;
	}

	/// <summary>
	/// Standard deviation multiplier for entry threshold.
	/// </summary>
	public decimal ThresholdMultiplier
	{
		get => _thresholdMultiplier.Value;
		set => _thresholdMultiplier.Value = value;
	}

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

	/// <summary>
	/// Bars to wait between orders.
	/// </summary>
	public int CooldownBars
	{
		get => _cooldownBars.Value;
		set => _cooldownBars.Value = value;
	}

	/// <summary>
	/// Minimum ADX level required for entries.
	/// </summary>
	public decimal MinAdx
	{
		get => _minAdx.Value;
		set => _minAdx.Value = value;
	}

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

	/// <summary>
	/// Initializes a new instance of <see cref="AdxSlopeMeanReversionStrategy"/>.
	/// </summary>
	public AdxSlopeMeanReversionStrategy()
	{
		_adxPeriod = Param(nameof(AdxPeriod), 14)
			.SetGreaterThanZero()
			.SetDisplay("ADX Period", "Period for ADX calculation", "Indicator Parameters")
			.SetOptimize(10, 20, 2);

		_slopeLookback = Param(nameof(SlopeLookback), 20)
			.SetGreaterThanZero()
			.SetDisplay("Slope Lookback", "Period for slope statistics", "Strategy Parameters")
			.SetOptimize(10, 50, 5);

		_thresholdMultiplier = Param(nameof(ThresholdMultiplier), 1.5m)
			.SetGreaterThanZero()
			.SetDisplay("Threshold Multiplier", "Standard deviation multiplier for entries", "Strategy Parameters")
			.SetOptimize(1m, 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");

		_minAdx = Param(nameof(MinAdx), 18m)
			.SetGreaterThanZero()
			.SetDisplay("Min ADX", "Minimum ADX level required for entries", "Signal Filters");

		_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();

		_adx = null;
		_previousAdxValue = default;
		_slopeHistory = new decimal[SlopeLookback];
		_currentIndex = default;
		_filledCount = default;
		_cooldown = default;
		_isInitialized = default;
	}

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

		_adx = new AverageDirectionalIndex { Length = AdxPeriod };
		_slopeHistory = new decimal[SlopeLookback];
		_currentIndex = 0;
		_filledCount = 0;
		_cooldown = 0;

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

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

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

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

		if (!_adx.IsFormed)
			return;

		var typedValue = (AverageDirectionalIndexValue)adxValue;

		if (typedValue.MovingAverage is not decimal adx)
			return;

		var dx = typedValue.Dx;

		if (dx.Plus is not decimal diPlus || dx.Minus is not decimal diMinus)
			return;

		if (!_isInitialized)
		{
			_previousAdxValue = adx;
			_isInitialized = true;
			return;
		}

		var slope = adx - _previousAdxValue;
		_previousAdxValue = adx;

		_slopeHistory[_currentIndex] = slope;
		_currentIndex = (_currentIndex + 1) % SlopeLookback;

		if (_filledCount < SlopeLookback)
			_filledCount++;

		if (_filledCount < SlopeLookback)
			return;

		CalculateStatistics(out var averageSlope, out var slopeStdDev);

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		if (slopeStdDev <= 0)
			return;

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

		var lowerThreshold = averageSlope - ThresholdMultiplier * slopeStdDev;
		var upperThreshold = averageSlope + ThresholdMultiplier * slopeStdDev;
		var isBullish = diPlus >= diMinus;
		var isBearish = diMinus > diPlus;

		if (Position == 0)
		{
			if (adx >= MinAdx && slope <= lowerThreshold && isBullish)
			{
				BuyMarket();
				_cooldown = CooldownBars;
			}
			else if (adx >= MinAdx && slope >= upperThreshold && isBearish)
			{
				SellMarket();
				_cooldown = CooldownBars;
			}
		}
		else if (Position > 0)
		{
			if (slope >= averageSlope || !isBullish)
			{
				SellMarket(Math.Abs(Position));
				_cooldown = CooldownBars;
			}
		}
		else if (Position < 0)
		{
			if (slope <= averageSlope || !isBearish)
			{
				BuyMarket(Math.Abs(Position));
				_cooldown = CooldownBars;
			}
		}
	}

	private void CalculateStatistics(out decimal averageSlope, out decimal slopeStdDev)
	{
		averageSlope = 0m;
		var sumSquaredDiffs = 0m;

		for (var i = 0; i < SlopeLookback; i++)
			averageSlope += _slopeHistory[i];

		averageSlope /= SlopeLookback;

		for (var i = 0; i < SlopeLookback; i++)
		{
			var diff = _slopeHistory[i] - averageSlope;
			sumSquaredDiffs += diff * diff;
		}

		slopeStdDev = (decimal)Math.Sqrt((double)(sumSquaredDiffs / SlopeLookback));
	}
}