Возврат при низкой волатильности
Эта стратегия возврата к среднему работает только в спокойные периоды рынка. Она измеряет ATR за периодом наблюдения и входит в позицию, когда волатильность опускается ниже заданного процента от среднего, а цена отклоняется от своей скользящей средней.
Тестирование показывает среднегодичную доходность около 139%. Стратегию лучше запускать на фондовом рынке.
Торгуя против небольших движений в тихих условиях, система стремится поймать откаты, не гонясь за большими трендами.
Позиции закрываются, как только цена касается скользящей средней или достигается стоп-лосс по ATR.
Подробности
- Условия входа: цена удалена от скользящей средней, при этом ATR ниже порога.
- Длинные/короткие позиции: обе стороны.
- Условия выхода: цена возвращается к MA или срабатывает стоп.
- Стопы: да.
- Значения по умолчанию:
MAPeriod= 20AtrPeriod= 14AtrLookbackPeriod= 20AtrThresholdPercent= 50mAtrMultiplier= 2.0mCandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Mean Reversion
- Направление: обе стороны
- Индикаторы: ATR, MA
- Стопы: да
- Сложность: средняя
- Таймфрейм: внутридневной
- 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>
/// Strategy that trades on mean reversion during periods of low volatility.
/// It identifies periods of low ATR and opens positions when price
/// deviates from its moving average, expecting a return to the mean.
/// </summary>
public class LowVolReversionStrategy : Strategy
{
private readonly StrategyParam<int> _maPeriod;
private readonly StrategyParam<int> _atrPeriod;
private readonly StrategyParam<int> _atrLookbackPeriod;
private readonly StrategyParam<decimal> _atrThresholdPercent;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _avgAtr;
private int _lookbackCounter;
private int _cooldown;
/// <summary>
/// Period for Moving Average calculation.
/// </summary>
public int MAPeriod
{
get => _maPeriod.Value;
set => _maPeriod.Value = value;
}
/// <summary>
/// Period for ATR calculation.
/// </summary>
public int AtrPeriod
{
get => _atrPeriod.Value;
set => _atrPeriod.Value = value;
}
/// <summary>
/// Lookback period for ATR average calculation.
/// </summary>
public int AtrLookbackPeriod
{
get => _atrLookbackPeriod.Value;
set => _atrLookbackPeriod.Value = value;
}
/// <summary>
/// ATR threshold as percentage of average ATR.
/// </summary>
public decimal AtrThresholdPercent
{
get => _atrThresholdPercent.Value;
set => _atrThresholdPercent.Value = value;
}
/// <summary>
/// Type of candles used for strategy calculation.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Cooldown bars between trades.
/// </summary>
public int CooldownBars
{
get => _cooldownBars.Value;
set => _cooldownBars.Value = value;
}
/// <summary>
/// Initialize the Low Volatility Reversion strategy.
/// </summary>
public LowVolReversionStrategy()
{
_maPeriod = Param(nameof(MAPeriod), 20)
.SetDisplay("MA Period", "Period for Moving Average calculation", "Indicators")
.SetOptimize(10, 50, 5);
_atrPeriod = Param(nameof(AtrPeriod), 14)
.SetDisplay("ATR Period", "Period for ATR calculation", "Indicators")
.SetOptimize(7, 21, 7);
_atrLookbackPeriod = Param(nameof(AtrLookbackPeriod), 20)
.SetDisplay("ATR Lookback", "Lookback period for ATR average calculation", "Indicators")
.SetOptimize(10, 50, 10);
_atrThresholdPercent = Param(nameof(AtrThresholdPercent), 80m)
.SetDisplay("ATR Threshold %", "ATR threshold as percentage of average ATR", "Entry")
.SetOptimize(30m, 90m, 10m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(1).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_cooldownBars = Param(nameof(CooldownBars), 500)
.SetRange(1, 1000)
.SetDisplay("Cooldown Bars", "Bars to wait between trades", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_avgAtr = default;
_lookbackCounter = default;
_cooldown = default;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_avgAtr = 0;
_lookbackCounter = 0;
_cooldown = 0;
var sma = new SimpleMovingAverage { Length = MAPeriod };
var atr = new AverageTrueRange { Length = AtrPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(sma, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, sma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal smaValue, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Gather ATR values for average calculation
if (_lookbackCounter < AtrLookbackPeriod)
{
if (_lookbackCounter == 0)
_avgAtr = atrValue;
else
_avgAtr = (_avgAtr * _lookbackCounter + atrValue) / (_lookbackCounter + 1);
_lookbackCounter++;
return;
}
else
{
_avgAtr = (_avgAtr * (AtrLookbackPeriod - 1) + atrValue) / AtrLookbackPeriod;
}
if (_cooldown > 0)
{
_cooldown--;
return;
}
// Check if we're in a low volatility period
decimal atrThreshold = _avgAtr * (AtrThresholdPercent / 100);
bool isLowVolatility = atrValue < atrThreshold;
if (Position == 0 && isLowVolatility)
{
if (candle.ClosePrice < smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
else if (candle.ClosePrice > smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position > 0)
{
if (candle.ClosePrice > smaValue)
{
SellMarket();
_cooldown = CooldownBars;
}
}
else if (Position < 0)
{
if (candle.ClosePrice < smaValue)
{
BuyMarket();
_cooldown = CooldownBars;
}
}
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import SimpleMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class low_vol_reversion_strategy(Strategy):
"""
Low volatility mean reversion strategy.
Trades when ATR is below average, expecting price to revert to MA.
"""
def __init__(self):
super(low_vol_reversion_strategy, self).__init__()
self._ma_period = self.Param("MAPeriod", 20).SetDisplay("MA Period", "Period for Moving Average calculation", "Indicators")
self._atr_period = self.Param("AtrPeriod", 14).SetDisplay("ATR Period", "Period for ATR calculation", "Indicators")
self._atr_lookback = self.Param("AtrLookbackPeriod", 20).SetDisplay("ATR Lookback", "Lookback period for ATR average calculation", "Indicators")
self._atr_threshold = self.Param("AtrThresholdPercent", 80.0).SetDisplay("ATR Threshold %", "ATR threshold as percentage of average ATR", "Entry")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(1))).SetDisplay("Candle Type", "Type of candles to use", "General")
self._cooldown_bars = self.Param("CooldownBars", 500).SetDisplay("Cooldown Bars", "Bars to wait between trades", "General")
self._avg_atr = 0.0
self._lookback_counter = 0
self._cooldown = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(low_vol_reversion_strategy, self).OnReseted()
self._avg_atr = 0.0
self._lookback_counter = 0
self._cooldown = 0
def OnStarted2(self, time):
super(low_vol_reversion_strategy, self).OnStarted2(time)
self._avg_atr = 0.0
self._lookback_counter = 0
self._cooldown = 0
sma = SimpleMovingAverage()
sma.Length = self._ma_period.Value
atr = AverageTrueRange()
atr.Length = self._atr_period.Value
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(sma, atr, self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, sma)
self.DrawOwnTrades(area)
def _process_candle(self, candle, sma_val, atr_val):
if candle.State != CandleStates.Finished:
return
sv = float(sma_val)
av = float(atr_val)
lb = self._atr_lookback.Value
if self._lookback_counter < lb:
if self._lookback_counter == 0:
self._avg_atr = av
else:
self._avg_atr = (self._avg_atr * self._lookback_counter + av) / (self._lookback_counter + 1)
self._lookback_counter += 1
return
else:
self._avg_atr = (self._avg_atr * (lb - 1) + av) / lb
if self._cooldown > 0:
self._cooldown -= 1
return
threshold = self._avg_atr * (float(self._atr_threshold.Value) / 100.0)
is_low_vol = av < threshold
close = float(candle.ClosePrice)
cd = self._cooldown_bars.Value
if self.Position == 0 and is_low_vol:
if close < sv:
self.BuyMarket()
self._cooldown = cd
elif close > sv:
self.SellMarket()
self._cooldown = cd
elif self.Position > 0:
if close > sv:
self.SellMarket()
self._cooldown = cd
elif self.Position < 0:
if close < sv:
self.BuyMarket()
self._cooldown = cd
def CreateClone(self):
return low_vol_reversion_strategy()