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自适应网络周期策略

该策略使用约翰·埃勒斯提出的自适应网络周期振荡器。它计算平滑的价格周期，并将上一周期值作为触发线。当周期上穿触发线时开多仓，下穿时开空仓。

细节

  • 入场条件：
    • 多头：周期 > 前一周期。
    • 空头：周期 < 前一周期。
  • 多/空：双向。
  • 出场条件：
    • 相反信号平仓并反向开仓。
  • 止损：默认无；可单独启用保护。
  • 默认值：
    • Alpha = 0.07
    • 蜡烛类型 = 1 分钟时间框架
  • 过滤器：
    • 分类：趋势跟随
    • 方向：双向
    • 指标：自适应网络周期
    • 止损：可选
    • 复杂度：中等
    • 时间框架：日内
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 EMA momentum crossover, inspired by adaptive cycle concepts.
/// </summary>
public class AdaptiveCyberCycleStrategy : Strategy
{
	private readonly StrategyParam<int> _fastPeriod;
	private readonly StrategyParam<int> _slowPeriod;
	private readonly StrategyParam<DataType> _candleType;

	private decimal _prevFast;
	private decimal _prevSlow;
	private bool _hasPrev;

	public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
	public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
	public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }

	public AdaptiveCyberCycleStrategy()
	{
		_fastPeriod = Param(nameof(FastPeriod), 10)
			.SetGreaterThanZero()
			.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
		_slowPeriod = Param(nameof(SlowPeriod), 21)
			.SetGreaterThanZero()
			.SetDisplay("Slow EMA", "Slow EMA period", "Indicators");
		_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
			.SetDisplay("Candle Type", "Type of candles", "General");
	}

	public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
		=> [(Security, CandleType)];

	protected override void OnReseted()
	{
		base.OnReseted();
		_prevFast = 0;
		_prevSlow = 0;
		_hasPrev = false;
	}

	protected override void OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		var fast = new ExponentialMovingAverage { Length = FastPeriod };
		var slow = new ExponentialMovingAverage { Length = SlowPeriod };

		SubscribeCandles(CandleType).Bind(fast, slow, ProcessCandle).Start();
	}

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

		if (!_hasPrev)
		{
			_prevFast = fastValue;
			_prevSlow = slowValue;
			_hasPrev = true;
			return;
		}

		// Fast crosses above slow => buy
		if (_prevFast <= _prevSlow && fastValue > slowValue && Position <= 0)
		{
			if (Position < 0) BuyMarket();
			BuyMarket();
		}
		// Fast crosses below slow => sell
		else if (_prevFast >= _prevSlow && fastValue < slowValue && Position >= 0)
		{
			if (Position > 0) SellMarket();
			SellMarket();
		}

		_prevFast = fastValue;
		_prevSlow = slowValue;
	}
}