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Estrategia de Filtro de Volatilidad CCI

La estrategia CCI Volatility Filter está construida en torno al CCI con filtro de volatilidad.

Las pruebas indican un rendimiento anual promedio de aproximadamente 58%. Funciona mejor en el mercado de acciones.

Las señales se activan cuando sus indicadores confirman entradas filtradas en datos intradía (5m). Esto hace que el método sea adecuado para traders activos.

Los stops dependen de múltiplos de ATR y factores como CciPeriod, AtrPeriod. Ajuste estos valores predeterminados para equilibrar el riesgo y la recompensa.

Detalles

  • Criterios de entrada: ver implementación para condiciones de indicadores.
  • Largo/Corto: Ambos.
  • Criterios de salida: señal opuesta o lógica de stops.
  • Stops: Sí, usando cálculos basados en indicadores.
  • Valores predeterminados:
    • CciPeriod = 20
    • AtrPeriod = 14
    • CciOversold = -100m
    • CciOverbought = 100m
    • CandleType = TimeSpan.FromMinutes(5).TimeFrame()
  • Filtros:
    • Categoría: Seguimiento de tendencia
    • Dirección: Ambos
    • Indicadores: Múltiples
    • Stops: Sí
    • Complejidad: Intermedio
    • Marco temporal: Intradía (5m)
    • Estacionalidad: No
    • Redes neuronales: No
    • Divergencia: No
    • Nivel de riesgo: Medio
namespace StockSharp.Samples.Strategies;

using System;
using System.Collections.Generic;

using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;

/// <summary>
/// Strategy based on CCI with an ATR-based volatility filter.
/// </summary>
public class CciWithVolatilityFilterStrategy : Strategy
{
	private readonly StrategyParam<int> _cciPeriod;
	private readonly StrategyParam<int> _atrPeriod;
	private readonly StrategyParam<decimal> _cciOversold;
	private readonly StrategyParam<decimal> _cciOverbought;
	private readonly StrategyParam<int> _signalCooldownBars;
	private readonly StrategyParam<DataType> _candleType;

	private CommodityChannelIndex _cci;
	private AverageTrueRange _atr;
	private SimpleMovingAverage _atrSma;
	private int _cooldownRemaining;

	public int CciPeriod { get => _cciPeriod.Value; set => _cciPeriod.Value = value; }
	public int AtrPeriod { get => _atrPeriod.Value; set => _atrPeriod.Value = value; }
	public decimal CciOversold { get => _cciOversold.Value; set => _cciOversold.Value = value; }
	public decimal CciOverbought { get => _cciOverbought.Value; set => _cciOverbought.Value = value; }
	public int SignalCooldownBars { get => _signalCooldownBars.Value; set => _signalCooldownBars.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public CciWithVolatilityFilterStrategy()
	{
		_cciPeriod = Param(nameof(CciPeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("CCI Period", "Period for CCI calculation", "Indicators");

		_atrPeriod = Param(nameof(AtrPeriod), 14)
			.SetGreaterThanZero()
			.SetDisplay("ATR Period", "Period for ATR calculation", "Indicators");

		_cciOversold = Param(nameof(CciOversold), -100m)
			.SetDisplay("CCI Oversold", "CCI oversold level", "Indicators");

		_cciOverbought = Param(nameof(CciOverbought), 100m)
			.SetDisplay("CCI Overbought", "CCI overbought level", "Indicators");

		_signalCooldownBars = Param(nameof(SignalCooldownBars), 24)
			.SetGreaterThanZero()
			.SetDisplay("Signal Cooldown", "Bars to wait between entries", "Trading");

		_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();
		_cci = null;
		_atr = null;
		_atrSma = null;
		_cooldownRemaining = 0;
	}

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

		_cci = new CommodityChannelIndex { Length = CciPeriod };
		_atr = new AverageTrueRange { Length = AtrPeriod };
		_atrSma = new SMA { Length = AtrPeriod };
		_cooldownRemaining = 0;

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

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

		StartProtection(
			takeProfit: new Unit(2, UnitTypes.Percent),
			stopLoss: new Unit(1, UnitTypes.Percent)
		);
	}

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

		if (_cooldownRemaining > 0)
			_cooldownRemaining--;

		var cciValue = _cci.Process(candle);
		var atrValue = _atr.Process(candle);
		if (!cciValue.IsFormed || !atrValue.IsFormed)
			return;

		var atrAverage = _atrSma.Process(new DecimalIndicatorValue(_atrSma, atrValue.ToDecimal(), candle.ServerTime) { IsFinal = true });
		if (!atrAverage.IsFormed)
			return;

		var cci = cciValue.ToDecimal();
		var atr = atrValue.ToDecimal();
		var averageAtr = atrAverage.ToDecimal();
		var isTradableVolatility = averageAtr <= 0m || atr <= averageAtr * 10m;

		if (_cooldownRemaining > 0 || !isTradableVolatility)
			return;

		if (Position == 0 && cci <= CciOversold)
		{
			BuyMarket();
			_cooldownRemaining = SignalCooldownBars;
		}
		else if (Position == 0 && cci >= CciOverbought)
		{
			SellMarket();
			_cooldownRemaining = SignalCooldownBars;
		}
	}
}