Объём: средневозврат по наклону
Стратегия Volume Slope Mean Reversion сосредоточена на экстремальных значениях объёма, чтобы использовать возврат к среднему. Широкие отклонения от типичного 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 объём возвращается к равновесию. Начальное значение VolumeMaPeriod = 20.
Детали
- Условия входа: Индикатор разворачивается в сторону среднего значения.
- Длинные/Короткие: Оба направления.
- Условия выхода: Индикатор возвращается к среднему.
- Стопы: Да.
- Значения по умолчанию:
VolumeMaPeriod= 20LookbackPeriod= 20DeviationMultiplier= 2.0mStopLossPercent= 2.0mCandleType= TimeSpan.FromMinutes(5)
- Фильтры:
- Категория: Средневозвратная
- Направление: Оба
- Индикаторы: Volume
- 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>
/// Volume slope mean reversion.
/// The slope of the smoothed volume is compared with its average: buys when the slope is far below the average
/// and starts turning up, sells when it is far above and starts turning down.
/// Exits when the slope returns to its average.
/// </summary>
public class VolumeSlopeMeanReversionStrategy : Strategy
{
private readonly StrategyParam<int> _volumeMaPeriod;
private readonly StrategyParam<int> _lookbackPeriod;
private readonly StrategyParam<decimal> _deviationMultiplier;
private readonly StrategyParam<decimal> _stopLossPercent;
private readonly StrategyParam<DataType> _candleType;
private SimpleMovingAverage _volumeMa;
private SimpleMovingAverage _slopeAverage;
private StandardDeviation _slopeStdDev;
private decimal? _prevVolume;
private decimal? _prevSlope;
/// <summary>
/// Period of the volume moving average.
/// </summary>
public int VolumeMaPeriod
{
get => _volumeMaPeriod.Value;
set => _volumeMaPeriod.Value = value;
}
/// <summary>
/// Lookback period for slope statistics.
/// </summary>
public int LookbackPeriod
{
get => _lookbackPeriod.Value;
set => _lookbackPeriod.Value = value;
}
/// <summary>
/// Standard deviation multiplier for extreme slope.
/// </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>
/// Candle type.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initialize <see cref="VolumeSlopeMeanReversionStrategy"/>.
/// </summary>
public VolumeSlopeMeanReversionStrategy()
{
_volumeMaPeriod = Param(nameof(VolumeMaPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Volume MA Period", "Period of the volume moving average", "Indicators");
_lookbackPeriod = Param(nameof(LookbackPeriod), 20)
.SetGreaterThanZero()
.SetDisplay("Lookback Period", "Period for slope statistics", "Strategy");
_deviationMultiplier = Param(nameof(DeviationMultiplier), 2.0m)
.SetGreaterThanZero()
.SetDisplay("Deviation Multiplier", "Standard deviation multiplier for extreme slope", "Strategy");
_stopLossPercent = Param(nameof(StopLossPercent), 2.0m)
.SetNotNegative()
.SetDisplay("Stop Loss %", "Stop-loss percentage", "Risk Management");
_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 OnReseted()
{
base.OnReseted();
_volumeMa = null;
_slopeAverage = null;
_slopeStdDev = null;
_prevVolume = null;
_prevSlope = null;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_volumeMa = new SimpleMovingAverage { Length = VolumeMaPeriod };
_slopeAverage = new SimpleMovingAverage { Length = LookbackPeriod };
_slopeStdDev = new StandardDeviation { Length = LookbackPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
StartProtection(
takeProfit: null,
stopLoss: StopLossPercent > 0 ? new Unit(StopLossPercent, UnitTypes.Percent) : null
);
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var volume = _volumeMa.Process(candle.TotalVolume, candle.ServerTime, true).ToDecimal();
if (!_volumeMa.IsFormed)
return;
if (_prevVolume is not decimal prevVolume)
{
_prevVolume = volume;
return;
}
_prevVolume = volume;
var slope = volume - prevVolume;
var avgSlope = _slopeAverage.Process(slope, candle.ServerTime, true).ToDecimal();
var stdSlope = _slopeStdDev.Process(slope, candle.ServerTime, true).ToDecimal();
var prevSlope = _prevSlope;
_prevSlope = slope;
if (!_slopeAverage.IsFormed || !_slopeStdDev.IsFormed || prevSlope is not decimal prev)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
// Extreme reading that has started to turn back toward the average.
if (slope < avgSlope - DeviationMultiplier * stdSlope && slope > prev && Position <= 0)
{
BuyMarket(Volume + Math.Abs(Position));
}
else if (slope > avgSlope + DeviationMultiplier * stdSlope && slope < prev && Position >= 0)
{
SellMarket(Volume + Math.Abs(Position));
}
else if (Position > 0 && slope >= avgSlope)
{
SellMarket(Position);
}
else if (Position < 0 && slope <= avgSlope)
{
BuyMarket(-Position);
}
}
}
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, Unit, UnitTypes
from StockSharp.Algo.Indicators import SimpleMovingAverage, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
from indicator_extensions import *
class volume_slope_mean_reversion_strategy(Strategy):
"""
Volume slope mean reversion.
The slope of the smoothed volume is compared with its average: buys when the slope is far below the average
and starts turning up, sells when it is far above and starts turning down.
Exits when the slope returns to its average.
"""
def __init__(self):
super(volume_slope_mean_reversion_strategy, self).__init__()
self._volume_ma_period = self.Param("VolumeMaPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Volume MA Period", "Period of the volume moving average", "Indicators")
self._lookback_period = self.Param("LookbackPeriod", 20) \
.SetGreaterThanZero() \
.SetDisplay("Lookback Period", "Period for slope statistics", "Strategy")
self._deviation_multiplier = self.Param("DeviationMultiplier", 2.0) \
.SetGreaterThanZero() \
.SetDisplay("Deviation Multiplier", "Standard deviation multiplier for extreme slope", "Strategy")
self._stop_loss_percent = self.Param("StopLossPercent", 2.0) \
.SetNotNegative() \
.SetDisplay("Stop Loss %", "Stop-loss percentage", "Risk Management")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._volume_ma = None
self._slope_average = None
self._slope_std_dev = None
self._prev_volume = None
self._prev_slope = None
@property
def CandleType(self):
return self._candle_type.Value
def GetWorkingSecurities(self):
return [(self.Security, self.CandleType)]
def OnReseted(self):
super(volume_slope_mean_reversion_strategy, self).OnReseted()
self._volume_ma = None
self._slope_average = None
self._slope_std_dev = None
self._prev_volume = None
self._prev_slope = None
def OnStarted2(self, time):
super(volume_slope_mean_reversion_strategy, self).OnStarted2(time)
self._volume_ma = SimpleMovingAverage()
self._volume_ma.Length = self._volume_ma_period.Value
self._slope_average = SimpleMovingAverage()
self._slope_average.Length = self._lookback_period.Value
self._slope_std_dev = StandardDeviation()
self._slope_std_dev.Length = self._lookback_period.Value
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._process_candle).Start()
stop = float(self._stop_loss_percent.Value)
self.StartProtection(None, Unit(stop, UnitTypes.Percent) if stop > 0 else None)
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
volume = float(process_float(self._volume_ma, candle.TotalVolume, candle.ServerTime, True))
if not self._volume_ma.IsFormed:
return
if self._prev_volume is None:
self._prev_volume = volume
return
slope = volume - self._prev_volume
self._prev_volume = volume
avg_slope = float(process_float(self._slope_average, slope, candle.ServerTime, True))
std_slope = float(process_float(self._slope_std_dev, slope, candle.ServerTime, True))
prev = self._prev_slope
self._prev_slope = slope
if not self._slope_average.IsFormed or not self._slope_std_dev.IsFormed or prev is None:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
k = float(self._deviation_multiplier.Value)
# Extreme reading that has started to turn back toward the average.
if slope < avg_slope - k * std_slope and slope > prev and self.Position <= 0:
self.BuyMarket(self.Volume + abs(self.Position))
elif slope > avg_slope + k * std_slope and slope < prev and self.Position >= 0:
self.SellMarket(self.Volume + abs(self.Position))
elif self.Position > 0 and slope >= avg_slope:
self.SellMarket(self.Position)
elif self.Position < 0 and slope <= avg_slope:
self.BuyMarket(-self.Position)
def CreateClone(self):
return volume_slope_mean_reversion_strategy()