Hurst Exponent Trend Strategy
This system uses the Hurst exponent to determine whether the market is exhibiting trending behaviour. Values above the threshold indicate persistence, while values below suggest noise or mean reversion. A moving average provides additional direction confirmation.
Testing indicates an average annual return of about 40%. It performs best in the crypto market.
The strategy buys when the Hurst exponent is greater than the threshold and price closes above the moving average. It sells short when the Hurst exponent is high and price closes below the average. If the Hurst exponent drops below the threshold, existing positions are closed to avoid trading in choppy markets.
Such an approach works for traders who want objective confirmation that a trend is present before entering. The combination of trend filter and stop-loss helps manage the risk of false signals.
Details
- Entry Criteria:
- Long: Hurst > Threshold && Close > MA
- Short: Hurst > Threshold && Close < MA
- Long/Short: Both sides.
- Exit Criteria:
- Long: Exit when Close < MA or Hurst < Threshold
- Short: Exit when Close > MA or Hurst < Threshold
- Stops: Yes, percentage stop-loss.
- Default Values:
HurstPeriod = 100
MaPeriod = 20
HurstThreshold = 0.55
StopLossPercent = 2
MA is the MaPeriod simple moving average. The stop is a fixed StopLossPercent of the entry price, watched between candles as well; 0 disables it. An entry signal against an open position reverses it.
CandleType = TimeSpan.FromMinutes(5)
- Filters:
- Category: Trend
- Direction: Both
- Indicators: Hurst Exponent, MA
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Intraday
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk Level: Medium
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);
}
}
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_trend_strategy(Strategy):
"""
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.
"""
def __init__(self):
super(hurst_exponent_trend_strategy, self).__init__()
self._hurst_period = self.Param("HurstPeriod", 100).SetGreaterThanZero().SetDisplay("Hurst Period", "Period of the Hurst exponent", "Indicators")
self._ma_period = self.Param("MaPeriod", 20).SetGreaterThanZero().SetDisplay("MA Period", "Period of the simple moving average", "Indicators")
self._hurst_threshold = self.Param("HurstThreshold", 0.55).SetDisplay("Hurst Threshold", "Hurst exponent level of a trending market", "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_trend_strategy, self).OnStarted2(time)
hurst = HurstExponent()
hurst.Length = self._hurst_period.Value
sma = SimpleMovingAverage()
sma.Length = self._ma_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)
trending = hurst > threshold
if trending and close > sma and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif trending 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_trend_strategy()