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Hurst Exponent Trend 策略

本策略使用赫斯特指数判断市场是否处于趋势状态。指数高于阈值表示趋势持续，低于阈值则可能是震荡或均值回归。移动平均线提供方向确认。

测试表明年均收益约为 40%，该策略在加密市场表现最佳。

当赫斯特指数高于阈值且收盘价站在均线上方时做多；当赫斯特指数高且价格收于均线下方时做空。若赫斯特指数跌破阈值，则平掉现有仓位以避免在震荡市中交易。

这种方法适合希望在入场前获得客观趋势确认的交易者。趋势过滤和止损结合有助于管理假信号带来的风险。

细节

  • 入场条件:
    • 多头: Hurst > Threshold && Close > MA
    • 空头: Hurst > Threshold && Close < MA
  • 多/空: 双向
  • 离场条件:
    • 多头: 收盘价跌破MA或Hurst < Threshold
    • 空头: 收盘价升破MA或Hurst < Threshold
  • 止损: 百分比止损
  • 默认值:
    • HurstPeriod = 100
    • MaPeriod = 20
    • HurstThreshold = 0.55
    • StopLossPercent = 2 MA为MaPeriod周期简单移动平均。止损为入场价的固定StopLossPercent百分比，在K线之间同样监控；设为0则关闭。与持仓方向相反的入场信号会反转持仓。
    • CandleType = TimeSpan.FromMinutes(5)
  • 过滤器:
    • 类别: Trend
    • 方向: 双向
    • 指标: Hurst Exponent, MA
    • 止损: 是
    • 复杂度: 中等
    • 时间框架: 日内
    • 季节性: 否
    • 神经网络: 否
    • 背离: 否
    • 风险等级: 中等
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>
/// Hurst Exponent Trend strategy.
/// A HurstPeriod Hurst exponent above HurstThreshold marks a trending market. Then a close above the MaPeriod simple moving average goes long
/// and a close below it goes short, reversing an opposite position. A long closes once the close is below the average or the exponent
/// drops below the threshold, a short mirrors it, and a percent stop limits the loss.
/// </summary>
public class HurstExponentTrendStrategy : Strategy
{
	private readonly StrategyParam<int> _hurstPeriod;
	private readonly StrategyParam<int> _maPeriod;
	private readonly StrategyParam<decimal> _hurstThreshold;
	private readonly StrategyParam<decimal> _stopLossPercent;
	private readonly StrategyParam<DataType> _candleType;

	/// <summary>
	/// Period of the Hurst exponent.
	/// </summary>
	public int HurstPeriod
	{
		get => _hurstPeriod.Value;
		set => _hurstPeriod.Value = value;
	}

	/// <summary>
	/// Period of the simple moving average.
	/// </summary>
	public int MaPeriod
	{
		get => _maPeriod.Value;
		set => _maPeriod.Value = value;
	}

	/// <summary>
	/// Hurst exponent level of a trending market.
	/// </summary>
	public decimal HurstThreshold
	{
		get => _hurstThreshold.Value;
		set => _hurstThreshold.Value = value;
	}

	/// <summary>
	/// Stop loss percentage from entry price.
	/// </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>
	/// Constructor.
	/// </summary>
	public HurstExponentTrendStrategy()
	{
		_hurstPeriod = Param(nameof(HurstPeriod), 100)
			.SetGreaterThanZero()
			.SetDisplay("Hurst Period", "Period of the Hurst exponent", "Indicators");

		_maPeriod = Param(nameof(MaPeriod), 20)
			.SetGreaterThanZero()
			.SetDisplay("MA Period", "Period of the simple moving average", "Indicators");

		_hurstThreshold = Param(nameof(HurstThreshold), 0.55m)
			.SetDisplay("Hurst Threshold", "Hurst exponent level of a trending market", "Indicators");

		_stopLossPercent = Param(nameof(StopLossPercent), 2m)
			.SetNotNegative()
			.SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk");

		_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 OnStarted2(DateTime time)
	{
		base.OnStarted2(time);

		var hurst = new HurstExponent { Length = HurstPeriod };
		var sma = new SimpleMovingAverage { Length = MaPeriod };

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

		StartProtection(new Unit(), new Unit(StopLossPercent, UnitTypes.Percent), useMarketOrders: true, isLocalStop: true);

		// The stop has to see prices between candles, not only at their close.
		foreach (var field in new[] { Level1Fields.BestBidPrice, Level1Fields.BestAskPrice })
		{
			var quotes = new Subscription(DataType.Level1, Security);
			quotes.MarketData.BuildField = field;
			SubscribeLevel1(quotes).Bind(ObserveProtectionQuote).Start();
		}

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

			var oscillators = CreateChartArea();
			if (oscillators != null)
			{
				DrawIndicator(oscillators, hurst);
			}
		}
	}

	private void ObserveProtectionQuote(Level1ChangeMessage quote)
	{
		// The high-level handler activates native protection before this callback, also between signal bars.
	}

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

		if (!hurstValue.IsFormed || !smaValue.IsFormed)
			return;

		if (!IsFormedAndOnlineAndAllowTrading())
			return;

		var hurst = hurstValue.GetValue<decimal>();
		var sma = smaValue.GetValue<decimal>();
		var close = candle.ClosePrice;
		var trending = hurst > HurstThreshold;

		if (trending && close > sma && Position <= 0)
			BuyMarket(Volume + Math.Abs(Position));
		else if (trending && close < sma && Position >= 0)
			SellMarket(Volume + Math.Abs(Position));
		else if (Position > 0 && (close < sma || hurst < HurstThreshold))
			SellMarket(Position);
		else if (Position < 0 && (close > sma || hurst < HurstThreshold))
			BuyMarket(-Position);
	}
}