Скользящая средняя Халла: средневозврат по наклону
Стратегия Hull MA Slope Mean Reversion сосредоточена на экстремальных показаниях скользящей средней Халла, чтобы использовать возврат к среднему. Широкие отклонения от нормального уровня редко продолжаются долго.
Сделки открываются, когда индикатор значительно отклоняется от своего среднего значения и начинает разворачиваться. Вход в длинные и короткие позиции сопровождается защитным стопом.
Подходит свинг‑трейдерам, ожидающим колебаний; стратегия закрывает позицию, когда Hull возвращается к равновесию. Начальное значение HullPeriod = 9.
Детали
- Условия входа: Индикатор разворачивается в сторону среднего значения.
- Длинные/Короткие: Оба направления.
- Условия выхода: Индикатор возвращается к среднему.
- Стопы: Да.
- Значения по умолчанию:
HullPeriod= 9LookbackPeriod= 20DeviationMultiplier= 2.0mAtrPeriod= 14AtrMultiplier= 2.0mCandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Средневозвратная
- Направление: Оба
- Индикаторы: Hull
- Стопы: Да
- Сложность: Средняя
- Таймфрейм: Краткосрочный
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Средний
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>
/// Hull moving average slope mean reversion strategy.
/// Trades reversions from extreme Hull MA slopes and exits when the slope returns to its recent average.
/// </summary>
public class HullMaSlopeMeanReversionStrategy : Strategy
{
private readonly StrategyParam<int> _hullPeriod;
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<decimal> _deviationMultiplier;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<int> _cooldownBars;
private readonly StrategyParam<DataType> _candleType;
private HullMovingAverage _hullMa;
private decimal _prevHullValue;
private decimal[] _slopeHistory;
private int _currentIndex;
private int _filledCount;
private int _cooldown;
private bool _isInitialized;
/// <summary>
/// Hull Moving Average period.
/// </summary>
public int HullPeriod
{
get => _hullPeriod.Value;
set => _hullPeriod.Value = value;
}
/// <summary>
/// Lookback period for slope statistics.
/// </summary>
public int LookbackPeriod
{
get => _lookbackPeriod.Value;
set => _lookbackPeriod.Value = value;
}
/// <summary>
/// Deviation multiplier for mean reversion detection.
/// </summary>
public decimal DeviationMultiplier
{
get => _deviationMultiplier.Value;
set => _deviationMultiplier.Value = value;
}
/// <summary>
/// Stop loss percentage.
/// </summary>
public decimal StopLossPercent
{
get => _stopLossPercent.Value;
set => _stopLossPercent.Value = value;
}
/// <summary>
/// Cooldown bars between orders.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="HullMaSlopeMeanReversionStrategy"/>.
/// </summary>
public HullMaSlopeMeanReversionStrategy()
{
_hullPeriod = Param(nameof(HullPeriod), 9)
.SetGreaterThanZero()
.SetDisplay("Hull MA Period", "Hull Moving Average period", "Hull MA")
.SetOptimize(5, 20, 1);
_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Lookback Period", "Lookback period for slope statistics", "Strategy Parameters")
.SetOptimize(10, 50, 5);
_deviationMultiplier = Param(nameof(DeviationMultiplier), 1.5m)
.SetGreaterThanZero()
.SetDisplay("Deviation Multiplier", "Deviation multiplier for mean reversion detection", "Strategy Parameters")
.SetOptimize(1m, 3m, 0.5m);
_stopLossPercent = Param(nameof(StopLossPercent), 2m)
.SetGreaterThanZero()
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management");
_cooldownBars = Param(nameof(CooldownBars), 1200)
.SetRange(1, 5000)
.SetDisplay("Cooldown Bars", "Bars to wait between orders", "Risk Management");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Candle type for strategy", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_hullMa = null;
_prevHullValue = default;
_slopeHistory = new decimal[LookbackPeriod];
_currentIndex = default;
_filledCount = default;
_cooldown = default;
_isInitialized = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_hullMa = new HullMovingAverage { Length = HullPeriod };
_slopeHistory = new decimal[LookbackPeriod];
_currentIndex = 0;
_filledCount = 0;
_cooldown = 0;
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(_hullMa, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, _hullMa);
DrawOwnTrades(area);
}
StartProtection(new(), new Unit(StopLossPercent, UnitTypes.Percent));
}
private void ProcessCandle(ICandleMessage candle, decimal hullValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!_hullMa.IsFormed)
return;
if (!_isInitialized)
{
_prevHullValue = hullValue;
_isInitialized = true;
return;
}
if (_prevHullValue == 0)
return;
var slope = (hullValue - _prevHullValue) / _prevHullValue * 100m;
_prevHullValue = hullValue;
_slopeHistory[_currentIndex] = slope;
_currentIndex = (_currentIndex + 1) % LookbackPeriod;
if (_filledCount < LookbackPeriod)
_filledCount++;
if (_filledCount < LookbackPeriod)
return;
var avgSlope = 0m;
var sumSq = 0m;
for (var i = 0; i < LookbackPeriod; i++)
avgSlope += _slopeHistory[i];
avgSlope /= LookbackPeriod;
for (var i = 0; i < LookbackPeriod; i++)
{
var diff = _slopeHistory[i] - avgSlope;
sumSq += diff * diff;
}
var stdSlope = (decimal)Math.Sqrt((double)(sumSq / LookbackPeriod));
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (_cooldown > 0)
{
_cooldown--;
return;
}
var highThreshold = avgSlope + stdSlope * DeviationMultiplier;
var lowThreshold = avgSlope - stdSlope * DeviationMultiplier;
if (Position == 0)
{
if (slope < lowThreshold)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (slope > highThreshold)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0 && slope >= avgSlope)
{
SellMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
else if (Position < 0 && slope <= avgSlope)
{
BuyMarket(Math.Abs(Position));
_cooldown = CooldownBars;
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
import math
from System import TimeSpan, Math
from StockSharp.Messages import DataType, Unit, UnitTypes, CandleStates
from StockSharp.Algo.Indicators import HullMovingAverage
from StockSharp.Algo.Strategies import Strategy
class hull_ma_slope_mean_reversion_strategy(Strategy):
"""
Hull moving average slope mean reversion strategy.
Trades reversions from extreme Hull MA slopes and exits when the slope returns to its recent average.
"""
def __init__(self):
super(hull_ma_slope_mean_reversion_strategy, self).__init__()
self._hull_period = self.Param("HullPeriod", 9) \
.SetGreaterThanZero() \
.SetDisplay("Hull MA Period", "Hull Moving Average period", "Hull MA")
self._lookback_period = self.Param("LookbackPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Lookback Period", "Lookback period for slope statistics", "Strategy Parameters")
self._deviation_multiplier = self.Param("DeviationMultiplier", 1.5) \
.SetGreaterThanZero() \
.SetDisplay("Deviation Multiplier", "Deviation multiplier for mean reversion detection", "Strategy Parameters")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("Stop Loss %", "Stop loss percentage", "Risk Management")
self._cooldown_bars = self.Param("CooldownBars", 1200) \
.SetDisplay("Cooldown Bars", "Bars to wait between orders", "Risk Management")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Candle type for strategy", "General")
self._hull_ma = None
self._prev_hull_value = 0.0
self._slope_history = None
self._current_index = 0
self._filled_count = 0
self._cooldown = 0
self._is_initialized = False
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(hull_ma_slope_mean_reversion_strategy, self).OnReseted()
self._hull_ma = None
self._prev_hull_value = 0.0
lb = int(self._lookback_period.Value)
self._slope_history = [0.0] * lb
self._current_index = 0
self._filled_count = 0
self._cooldown = 0
self._is_initialized = False
def OnStarted2(self, time):
super(hull_ma_slope_mean_reversion_strategy, self).OnStarted2(time)
lb = int(self._lookback_period.Value)
self._slope_history = [0.0] * lb
self._current_index = 0
self._filled_count = 0
self._cooldown = 0
self._hull_ma = HullMovingAverage()
self._hull_ma.Length = int(self._hull_period.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(self._hull_ma, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, self._hull_ma)
self.DrawOwnTrades(area)
self.StartProtection(Unit(), Unit(self._stop_loss_percent.Value, UnitTypes.Percent))
def _process_candle(self, candle, hull_value):
if candle.State != CandleStates.Finished:
return
if not self._hull_ma.IsFormed:
return
hv = float(hull_value)
if not self._is_initialized:
self._prev_hull_value = hv
self._is_initialized = True
return
if self._prev_hull_value == 0:
return
slope = (hv - self._prev_hull_value) / self._prev_hull_value * 100.0
self._prev_hull_value = hv
lb = int(self._lookback_period.Value)
self._slope_history[self._current_index] = slope
self._current_index = (self._current_index + 1) % lb
if self._filled_count < lb:
self._filled_count += 1
if self._filled_count < lb:
return
avg_slope = 0.0
for i in range(lb):
avg_slope += self._slope_history[i]
avg_slope /= float(lb)
sum_sq = 0.0
for i in range(lb):
diff = self._slope_history[i] - avg_slope
sum_sq += diff * diff
std_slope = math.sqrt(sum_sq / float(lb))
if not self.IsFormedAndOnlineAndAllowTrading():
return
if self._cooldown > 0:
self._cooldown -= 1
return
dm = float(self._deviation_multiplier.Value)
high_threshold = avg_slope + std_slope * dm
low_threshold = avg_slope - std_slope * dm
if self.Position == 0:
if slope < low_threshold:
self.BuyMarket()
self._cooldown = int(self._cooldown_bars.Value)
elif slope > high_threshold:
self.SellMarket()
self._cooldown = int(self._cooldown_bars.Value)
elif self.Position > 0 and slope >= avg_slope:
self.SellMarket(Math.Abs(self.Position))
self._cooldown = int(self._cooldown_bars.Value)
elif self.Position < 0 and slope <= avg_slope:
self.BuyMarket(Math.Abs(self.Position))
self._cooldown = int(self._cooldown_bars.Value)
def CreateClone(self):
return hull_ma_slope_mean_reversion_strategy()