Агрессивная стратегия для рынка с высокой IV
Агрессивная стратегия для рынка с высокой IV сочетает пересечение EMA с фильтром волатильности ATR. Сделки открываются только когда волатильность превышает своё среднее на одно стандартное отклонение и закрываются по целям на основе ATR.
Тесты показывают устойчивые результаты на высоковолатильных рынках.
Стратегия входит при пересечении EMA в периоды повышенной волатильности, стремясь к быстрому извлечению прибыли с заранее заданным риском.
Позиции закрываются по стоп-лоссу и тейк-профиту, рассчитанным на основе ATR.
Детали
- Условия входа: Быстрая EMA пересекает медленную при ATR выше его среднего плюс стандартное отклонение.
- Длинные/короткие позиции: Обе стороны.
- Условия выхода: Срабатывание стоп-лосса или тейк-профита по ATR.
- Стопы: Да.
- Значения по умолчанию:
FastEmaLength= 10SlowEmaLength= 30AtrLength= 14AtrMeanLength= 20AtrStdLength= 20RiskFactor= 0.01mCandleType= TimeSpan.FromMinutes(15)
- Фильтры:
- Категория: Trend
- Направление: Both
- Индикаторы: EMA, ATR
- Стопы: Yes
- Сложность: Средняя
- Таймфрейм: Внутридневной
- Сезонность: Нет
- Нейросети: Нет
- Дивергенция: Нет
- Уровень риска: Высокий
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>
/// Aggressive strategy for high implied volatility markets.
/// Uses EMA crossover with ATR volatility filter and ATR-based exits.
/// </summary>
public class AggressiveHighIvStrategy : Strategy
{
private readonly StrategyParam<int> _fastEmaLength;
private readonly StrategyParam<int> _slowEmaLength;
private readonly StrategyParam<int> _atrLength;
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevFast;
private decimal _prevSlow;
private decimal _entryPrice;
private int _cooldownRemaining;
public int FastEmaLength { get => _fastEmaLength.Value; set => _fastEmaLength.Value = value; }
public int SlowEmaLength { get => _slowEmaLength.Value; set => _slowEmaLength.Value = value; }
public int AtrLength { get => _atrLength.Value; set => _atrLength.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public AggressiveHighIvStrategy()
{
_fastEmaLength = Param(nameof(FastEmaLength), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA Length", "Period for fast EMA", "Parameters");
_slowEmaLength = Param(nameof(SlowEmaLength), 30)
.SetGreaterThanZero()
.SetDisplay("Slow EMA Length", "Period for slow EMA", "Parameters");
_atrLength = Param(nameof(AtrLength), 14)
.SetGreaterThanZero()
.SetDisplay("ATR Length", "ATR calculation period", "Parameters");
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
_cooldownBars = Param(nameof(CooldownBars), 10)
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevFast = 0m;
_prevSlow = 0m;
_entryPrice = 0m;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastEmaLength };
var slowEma = new ExponentialMovingAverage { Length = SlowEmaLength };
var atr = new AverageTrueRange { Length = AtrLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, atr, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastEma);
DrawIndicator(area, slowEma);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, decimal fastEma, decimal slowEma, decimal atrValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
{
_prevFast = fastEma;
_prevSlow = slowEma;
return;
}
if (_prevFast == 0)
{
_prevFast = fastEma;
_prevSlow = slowEma;
return;
}
// Check ATR-based stop/take for existing positions
if (Position > 0 && _entryPrice > 0 && atrValue > 0)
{
if (candle.ClosePrice <= _entryPrice - 2m * atrValue || candle.ClosePrice >= _entryPrice + 4m * atrValue)
{
SellMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
_prevFast = fastEma;
_prevSlow = slowEma;
return;
}
}
else if (Position < 0 && _entryPrice > 0 && atrValue > 0)
{
if (candle.ClosePrice >= _entryPrice + 2m * atrValue || candle.ClosePrice <= _entryPrice - 4m * atrValue)
{
BuyMarket(Math.Abs(Position));
_entryPrice = 0;
_cooldownRemaining = CooldownBars;
_prevFast = fastEma;
_prevSlow = slowEma;
return;
}
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevFast = fastEma;
_prevSlow = slowEma;
return;
}
var longCross = _prevFast <= _prevSlow && fastEma > slowEma;
var shortCross = _prevFast >= _prevSlow && fastEma < slowEma;
if (longCross && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_entryPrice = candle.ClosePrice;
_cooldownRemaining = CooldownBars;
}
else if (shortCross && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_entryPrice = candle.ClosePrice;
_cooldownRemaining = CooldownBars;
}
_prevFast = fastEma;
_prevSlow = slowEma;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import ExponentialMovingAverage, AverageTrueRange
from StockSharp.Algo.Strategies import Strategy
class aggressive_high_iv_strategy(Strategy):
def __init__(self):
super(aggressive_high_iv_strategy, self).__init__()
self._fast_ema_length = self.Param("FastEmaLength", 10) \
.SetGreaterThanZero() \
.SetDisplay("Fast EMA Length", "Period for fast EMA", "Parameters")
self._slow_ema_length = self.Param("SlowEmaLength", 30) \
.SetGreaterThanZero() \
.SetDisplay("Slow EMA Length", "Period for slow EMA", "Parameters")
self._atr_length = self.Param("AtrLength", 14) \
.SetGreaterThanZero() \
.SetDisplay("ATR Length", "ATR calculation period", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(aggressive_high_iv_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._entry_price = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(aggressive_high_iv_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = int(self._fast_ema_length.Value)
slow_ema = ExponentialMovingAverage()
slow_ema.Length = int(self._slow_ema_length.Value)
atr = AverageTrueRange()
atr.Length = int(self._atr_length.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, atr, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ema)
self.DrawIndicator(area, slow_ema)
self.DrawOwnTrades(area)
def _on_process(self, candle, fast_val, slow_val, atr_val):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
self._prev_fast = float(fast_val)
self._prev_slow = float(slow_val)
return
fast = float(fast_val)
slow = float(slow_val)
atr_v = float(atr_val)
close = float(candle.ClosePrice)
cooldown = int(self._cooldown_bars.Value)
if self._prev_fast == 0:
self._prev_fast = fast
self._prev_slow = slow
return
# Check ATR-based stop/take for existing positions
if self.Position > 0 and self._entry_price > 0 and atr_v > 0:
if close <= self._entry_price - 2.0 * atr_v or close >= self._entry_price + 4.0 * atr_v:
self.SellMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
self._prev_fast = fast
self._prev_slow = slow
return
elif self.Position < 0 and self._entry_price > 0 and atr_v > 0:
if close >= self._entry_price + 2.0 * atr_v or close <= self._entry_price - 4.0 * atr_v:
self.BuyMarket(Math.Abs(self.Position))
self._entry_price = 0.0
self._cooldown_remaining = cooldown
self._prev_fast = fast
self._prev_slow = slow
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_fast = fast
self._prev_slow = slow
return
long_cross = self._prev_fast <= self._prev_slow and fast > slow
short_cross = self._prev_fast >= self._prev_slow and fast < slow
if long_cross and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._entry_price = close
self._cooldown_remaining = cooldown
elif short_cross and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._entry_price = close
self._cooldown_remaining = cooldown
self._prev_fast = fast
self._prev_slow = slow
def CreateClone(self):
return aggressive_high_iv_strategy()