Стратегия пересечения EMA
Стратегия открывает длинную позицию при пересечении короткой EMA выше длинной. Сигналы фильтруются нормализованным ATR, силой тренда ADX и направлением SuperTrend. Уровни стоп-лосса и тейк-профита адаптируются в зависимости от силы доллара, оцениваемой через EMA(50).
Подробности
- Условия входа:
- Короткая EMA пересекает длинную снизу вверх.
- Нормализованный ATR превышает порог в зависимости от направления тренда.
- SuperTrend подтверждает бычий или медвежий рынок.
- Условия выхода:
- Обратное пересечение EMA или ADX выше порога после минимального времени удержания.
- Срабатывание стоп-лосса или тейк-профита.
- Индикаторы: EMA, ATR, ADX, SuperTrend, SMA по объёму.
- Стопы: Динамический процентный стоп-лосс и тейк-профит.
- Тип: Следование тренду.
- Таймфрейм: 30 минут (по умолчанию).
namespace StockSharp.Samples.Strategies;
using System;
using System.Collections.Generic;
using Ecng.Common;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
/// <summary>
/// Advanced EMA Cross Strategy - uses EMA crossover with ADX filter.
/// </summary>
public class AdvancedEmaCrossStrategy : Strategy
{
private readonly StrategyParam<DataType> _candleType;
private readonly StrategyParam<int> _emaShortLength;
private readonly StrategyParam<int> _emaLongLength;
private readonly StrategyParam<int> _adxPeriod;
private readonly StrategyParam<decimal> _adxHighLevel;
private readonly StrategyParam<int> _cooldownBars;
private decimal _prevEmaShort;
private decimal _prevEmaLong;
private int _cooldownRemaining;
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public int EmaShortLength { get => _emaShortLength.Value; set => _emaShortLength.Value = value; }
public int EmaLongLength { get => _emaLongLength.Value; set => _emaLongLength.Value = value; }
public int AdxPeriod { get => _adxPeriod.Value; set => _adxPeriod.Value = value; }
public decimal AdxHighLevel { get => _adxHighLevel.Value; set => _adxHighLevel.Value = value; }
public int CooldownBars { get => _cooldownBars.Value; set => _cooldownBars.Value = value; }
public AdvancedEmaCrossStrategy()
{
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(30).TimeFrame())
.SetDisplay("Candle Type", "Type of candles to use", "General");
_emaShortLength = Param(nameof(EmaShortLength), 8)
.SetGreaterThanZero()
.SetDisplay("EMA Short Length", "Short EMA period", "EMA");
_emaLongLength = Param(nameof(EmaLongLength), 20)
.SetGreaterThanZero()
.SetDisplay("EMA Long Length", "Long EMA period", "EMA");
_adxPeriod = Param(nameof(AdxPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("ADX Period", "ADX calculation period", "ADX");
_adxHighLevel = Param(nameof(AdxHighLevel), 20m)
.SetDisplay("ADX Level", "ADX threshold for trending market", "ADX");
_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();
_prevEmaShort = 0;
_prevEmaLong = 0;
_cooldownRemaining = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var emaShort = new ExponentialMovingAverage { Length = EmaShortLength };
var emaLong = new ExponentialMovingAverage { Length = EmaLongLength };
var adx = new AverageDirectionalIndex { Length = AdxPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.BindEx(emaShort, emaLong, adx, ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, emaShort);
DrawIndicator(area, emaLong);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle, IIndicatorValue emaShortValue, IIndicatorValue emaLongValue, IIndicatorValue adxValue)
{
if (candle.State != CandleStates.Finished)
return;
if (!IsFormedAndOnlineAndAllowTrading())
return;
var emaShort = emaShortValue.ToDecimal();
var emaLong = emaLongValue.ToDecimal();
var adxTyped = (IAverageDirectionalIndexValue)adxValue;
if (adxTyped.MovingAverage is not decimal adx)
{
_prevEmaShort = emaShort;
_prevEmaLong = emaLong;
return;
}
if (_prevEmaShort == 0)
{
_prevEmaShort = emaShort;
_prevEmaLong = emaLong;
return;
}
if (_cooldownRemaining > 0)
{
_cooldownRemaining--;
_prevEmaShort = emaShort;
_prevEmaLong = emaLong;
return;
}
var crossover = _prevEmaShort <= _prevEmaLong && emaShort > emaLong;
var crossunder = _prevEmaShort >= _prevEmaLong && emaShort < emaLong;
var trending = adx > AdxHighLevel;
if (crossover && trending && Position <= 0)
{
if (Position < 0)
BuyMarket(Math.Abs(Position));
BuyMarket(Volume);
_cooldownRemaining = CooldownBars;
}
else if (crossunder && trending && Position >= 0)
{
if (Position > 0)
SellMarket(Math.Abs(Position));
SellMarket(Volume);
_cooldownRemaining = CooldownBars;
}
_prevEmaShort = emaShort;
_prevEmaLong = emaLong;
}
}
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, AverageDirectionalIndex, IndicatorHelper
from StockSharp.Algo.Strategies import Strategy
class advanced_ema_cross_strategy(Strategy):
def __init__(self):
super(advanced_ema_cross_strategy, self).__init__()
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(30))) \
.SetDisplay("Candle Type", "Type of candles to use", "General")
self._ema_short_length = self.Param("EmaShortLength", 8) \
.SetGreaterThanZero() \
.SetDisplay("EMA Short Length", "Short EMA period", "EMA")
self._ema_long_length = self.Param("EmaLongLength", 20) \
.SetGreaterThanZero() \
.SetDisplay("EMA Long Length", "Long EMA period", "EMA")
self._adx_period = self.Param("AdxPeriod", 14) \
.SetGreaterThanZero() \
.SetDisplay("ADX Period", "ADX calculation period", "ADX")
self._adx_high_level = self.Param("AdxHighLevel", 20.0) \
.SetDisplay("ADX Level", "ADX threshold for trending market", "ADX")
self._cooldown_bars = self.Param("CooldownBars", 10) \
.SetDisplay("Cooldown Bars", "Bars between trades", "Risk")
self._prev_ema_short = 0.0
self._prev_ema_long = 0.0
self._cooldown_remaining = 0
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(advanced_ema_cross_strategy, self).OnReseted()
self._prev_ema_short = 0.0
self._prev_ema_long = 0.0
self._cooldown_remaining = 0
def OnStarted2(self, time):
super(advanced_ema_cross_strategy, self).OnStarted2(time)
ema_short = ExponentialMovingAverage()
ema_short.Length = int(self._ema_short_length.Value)
ema_long = ExponentialMovingAverage()
ema_long.Length = int(self._ema_long_length.Value)
adx = AverageDirectionalIndex()
adx.Length = int(self._adx_period.Value)
subscription = self.SubscribeCandles(self.candle_type)
subscription.BindEx(ema_short, ema_long, adx, self._on_process).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, ema_short)
self.DrawIndicator(area, ema_long)
self.DrawOwnTrades(area)
def _on_process(self, candle, ema_short_value, ema_long_value, adx_value):
if candle.State != CandleStates.Finished:
return
if not self.IsFormedAndOnlineAndAllowTrading():
return
ema_s = float(IndicatorHelper.ToDecimal(ema_short_value))
ema_l = float(IndicatorHelper.ToDecimal(ema_long_value))
adx_ma = adx_value.MovingAverage
if adx_ma is None:
self._prev_ema_short = ema_s
self._prev_ema_long = ema_l
return
adx_v = float(adx_ma)
if self._prev_ema_short == 0:
self._prev_ema_short = ema_s
self._prev_ema_long = ema_l
return
if self._cooldown_remaining > 0:
self._cooldown_remaining -= 1
self._prev_ema_short = ema_s
self._prev_ema_long = ema_l
return
cooldown = int(self._cooldown_bars.Value)
crossover = self._prev_ema_short <= self._prev_ema_long and ema_s > ema_l
crossunder = self._prev_ema_short >= self._prev_ema_long and ema_s < ema_l
trending = adx_v > float(self._adx_high_level.Value)
if crossover and trending and self.Position <= 0:
if self.Position < 0:
self.BuyMarket(Math.Abs(self.Position))
self.BuyMarket(self.Volume)
self._cooldown_remaining = cooldown
elif crossunder and trending and self.Position >= 0:
if self.Position > 0:
self.SellMarket(Math.Abs(self.Position))
self.SellMarket(self.Volume)
self._cooldown_remaining = cooldown
self._prev_ema_short = ema_s
self._prev_ema_long = ema_l
def CreateClone(self):
return advanced_ema_cross_strategy()