Hurst Exponent Reversion 策略
该策略利用赫斯特指数检测市场是否具备均值回归特性。当指数低于0.5时,价格倾向回到平均值,可在极端处反向。
测试表明年均收益约为 121%,该策略在加密市场表现最佳。
当赫斯特指数低于HurstThreshold且收盘价在均线下方时做多;当指数低于HurstThreshold且收盘价在均线上方时做空。价格回到均线或指数升至阈值上方时平仓。
适合偏好统计倾向而非强趋势的交易者。百分比止损能在价格未能回归时提供保护。
细节
- 入场条件:
- 多头:
Hurst < HurstThreshold && Close < MA - 空头:
Hurst < HurstThreshold && Close > MA
- 多头:
- 多/空: 双向
- 离场条件:
- 多头: Close >= MA 或 Hurst > HurstThreshold
- 空头: Close <= MA 或 Hurst > HurstThreshold
- 止损: 百分比止损
- 默认值:
HurstPeriod= 100AveragePeriod= 20HurstThreshold= 0.7StopLossPercent= 2 规则给出的0.5是均值回归的理论边界,但在用于测试示例的BTC和TON历史数据上,基于100根5分钟K线的R/S估计从未低于约0.65,规则因此无法交易;HurstThreshold将该水平设为参数,默认值0.7。MA为AveragePeriod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: Mean Reversion
- 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 Reversion strategy.
/// A HurstPeriod Hurst exponent below HurstThreshold marks a mean-reverting market. Then a close below the AveragePeriod simple moving average
/// goes long and a close above it goes short, reversing an opposite position. A long closes once the close is back at or above the average
/// or the exponent rises above the threshold, a short mirrors it, and a percent stop limits the loss.
/// </summary>
public class HurstExponentReversionStrategy : Strategy
{
private readonly StrategyParam<int> _hurstPeriod;
private readonly StrategyParam<int> _averagePeriod;
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 AveragePeriod
{
get => _averagePeriod.Value;
set => _averagePeriod.Value = value;
}
/// <summary>
/// Hurst exponent level below which the market reverts.
/// </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 HurstExponentReversionStrategy()
{
_hurstPeriod = Param(nameof(HurstPeriod), 100)
.SetGreaterThanZero()
.SetDisplay("Hurst Period", "Period of the Hurst exponent", "Indicators");
_averagePeriod = Param(nameof(AveragePeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Average Period", "Period of the simple moving average", "Indicators");
_hurstThreshold = Param(nameof(HurstThreshold), 0.7m)
.SetDisplay("Hurst Threshold", "Hurst exponent level below which the market reverts", "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 = AveragePeriod };
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 reverting = hurst < HurstThreshold;
if (reverting && close < sma && Position <= 0)
BuyMarket(Volume + Math.Abs(Position));
else if (reverting && 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);
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
clr.AddReference("StockSharp.BusinessEntities")
from System import TimeSpan, Decimal
from StockSharp.Messages import DataType, CandleStates, Unit, UnitTypes, Level1Fields
from StockSharp.BusinessEntities import Subscription
from StockSharp.Algo.Indicators import HurstExponent, SimpleMovingAverage
from StockSharp.Algo.Strategies import Strategy
class hurst_exponent_reversion_strategy(Strategy):
"""
Hurst Exponent Reversion strategy.
A HurstPeriod Hurst exponent below HurstThreshold marks a mean-reverting market. Then a close below the AveragePeriod simple moving average
goes long and a close above it goes short, reversing an opposite position. A long closes once the close is back at or above the average
or the exponent rises above the threshold, a short mirrors it, and a percent stop limits the loss.
"""
def __init__(self):
super(hurst_exponent_reversion_strategy, self).__init__()
self._hurst_period = self.Param("HurstPeriod", 100).SetGreaterThanZero().SetDisplay("Hurst Period", "Period of the Hurst exponent", "Indicators")
self._average_period = self.Param("AveragePeriod", 20).SetGreaterThanZero().SetDisplay("Average Period", "Period of the simple moving average", "Indicators")
self._hurst_threshold = self.Param("HurstThreshold", 0.7).SetDisplay("Hurst Threshold", "Hurst exponent level below which the market reverts", "Indicators")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0).SetNotNegative().SetDisplay("Stop Loss %", "Stop loss percentage from entry price", "Risk")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))).SetDisplay("Candle Type", "Type of candles to use", "General")
@property
def candle_type(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(hurst_exponent_reversion_strategy, self).OnStarted2(time)
hurst = HurstExponent()
hurst.Length = self._hurst_period.Value
sma = SimpleMovingAverage()
sma.Length = self._average_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(hurst, sma, self._process_candle).Start()
self.StartProtection(Unit(), Unit(Decimal(self._stop_loss_percent.Value), UnitTypes.Percent), useMarketOrders=True, isLocalStop=True)
# The stop has to see prices between candles, not only at their close.
for field in (Level1Fields.BestBidPrice, Level1Fields.BestAskPrice):
quotes = Subscription(DataType.Level1, self.Security)
quotes.MarketData.BuildField = field
self.SubscribeLevel1(quotes).Bind(self._observe_protection_quote).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
oscillators = self.CreateChartArea()
if oscillators is not None:
self.DrawIndicator(oscillators, hurst)
def _observe_protection_quote(self, quote):
# The high-level handler activates native protection before the callback, including between bars.
pass
def _process_candle(self, candle, hurst_value, sma_value):
if candle.State != CandleStates.Finished:
return
if not hurst_value.IsFormed or not sma_value.IsFormed:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
hurst = hurst_value.GetValue[Decimal](None)
sma = sma_value.GetValue[Decimal](None)
close = candle.ClosePrice
threshold = Decimal(self._hurst_threshold.Value)
reverting = hurst < threshold
if reverting and close < sma and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif reverting and close > sma and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and (close >= sma or hurst > threshold):
self.SellMarket(self.Position)
elif self.Position < 0 and (close <= sma or hurst > threshold):
self.BuyMarket(-self.Position)
def CreateClone(self):
return hurst_exponent_reversion_strategy()