Стратегия X2MA JFATL Crossover
Эта стратегия является адаптацией эксперта MetaTrader Exp_X2MA_JFatl для StockSharp. Она сочетает быструю простую скользящую среднюю (SMA) с медленной средней Юрика (JMA) и дополнительным фильтром JMA для подтверждения направления тренда. Сделки открываются, когда быстрая средняя пересекает медленную, и цена находится по ту же сторону от фильтра. Позиции закрываются, когда цена выходит за фильтр или происходит противоположное пересечение.
Детали
- Условия входа:
- Лонг:
SMA_fastпересекает сверхуJMA_slowиClose>JMA_filter. - Шорт:
SMA_fastпересекает снизуJMA_slowиClose<JMA_filter.
- Лонг:
- Условия выхода:
- Цена переходит на противоположную сторону фильтра.
- Противоположное пересечение средних.
- Лонг/Шорт: обе стороны.
- Стопы: по умолчанию не используются.
- Значения по умолчанию:
Fast MA Length= 5.Slow MA Length= 12.Filter Length= 20.
- Фильтры:
- Категория: следование тренду
- Направление: обе стороны
- Индикаторы: несколько (SMA, JMA)
- Стопы: нет
- Сложность: средняя
- Таймфрейм: краткосрочный
- Сезонность: нет
- Нейросети: нет
- Дивергенция: нет
- Уровень риска: средний
using System;
using System.Linq;
using System.Collections.Generic;
using Ecng.Common;
using Ecng.Collections;
using Ecng.Serialization;
using StockSharp.Algo.Indicators;
using StockSharp.Algo.Strategies;
using StockSharp.BusinessEntities;
using StockSharp.Messages;
namespace StockSharp.Samples.Strategies;
/// <summary>
/// X2MA with JFATL filter strategy.
/// Opens long when the fast SMA crosses above the slow Jurik MA and price is above the filter.
/// Opens short when the fast SMA crosses below the slow Jurik MA and price is below the filter.
/// </summary>
public class X2MaJfatlStrategy : Strategy
{
private readonly StrategyParam<int> _fastLength;
private readonly StrategyParam<int> _slowLength;
private readonly StrategyParam<int> _filterLength;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevDiff;
private bool _isInitialized;
private int _barsSinceTrade;
/// <summary>
/// Fast moving average length.
/// </summary>
public int FastLength
{
get => _fastLength.Value;
set => _fastLength.Value = value;
}
/// <summary>
/// Slow Jurik moving average length.
/// </summary>
public int SlowLength
{
get => _slowLength.Value;
set => _slowLength.Value = value;
}
/// <summary>
/// Jurik filter length.
/// </summary>
public int FilterLength
{
get => _filterLength.Value;
set => _filterLength.Value = value;
}
/// <summary>
/// Candle type used for calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes strategy parameters.
/// </summary>
public X2MaJfatlStrategy()
{
_fastLength = Param(nameof(FastLength), 5)
.SetGreaterThanZero()
.SetDisplay("Fast MA Length", "Length of the fast moving average", "Parameters")
.SetOptimize(5, 20, 1);
_slowLength = Param(nameof(SlowLength), 13)
.SetGreaterThanZero()
.SetDisplay("Slow MA Length", "Length of the slow Jurik MA", "Parameters")
.SetOptimize(10, 40, 2);
_filterLength = Param(nameof(FilterLength), 21)
.SetGreaterThanZero()
.SetDisplay("Filter Length", "Length of the Jurik filter", "Parameters")
.SetOptimize(10, 60, 5);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(15).TimeFrame())
.SetDisplay("Candle Type", "Type of candles for calculation", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_prevDiff = 0m;
_isInitialized = false;
_barsSinceTrade = 10;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
_prevDiff = 0m;
_isInitialized = false;
_barsSinceTrade = 10;
var fastMa = new SMA { Length = FastLength };
var slowMa = new JurikMovingAverage { Length = SlowLength };
var filterMa = new JurikMovingAverage { Length = FilterLength };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastMa, slowMa, filterMa, Process)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawIndicator(area, fastMa);
DrawIndicator(area, slowMa);
DrawIndicator(area, filterMa);
DrawOwnTrades(area);
}
}
private void Process(ICandleMessage candle, decimal fastValue, decimal slowValue, decimal filterValue)
{
if (candle.State != CandleStates.Finished)
return;
_barsSinceTrade++;
if (!IsFormedAndOnlineAndAllowTrading())
return;
if (!_isInitialized)
{
_prevDiff = fastValue - slowValue;
_isInitialized = true;
return;
}
var diff = fastValue - slowValue;
// Exit if price moves against the filter
if (Position > 0 && candle.ClosePrice < filterValue)
{
SellMarket();
_barsSinceTrade = 0;
}
else if (Position < 0 && candle.ClosePrice > filterValue)
{
BuyMarket();
_barsSinceTrade = 0;
}
// Crossover entries
if (_barsSinceTrade >= 5 && _prevDiff <= 0m && diff > 0m && candle.ClosePrice > filterValue && Position <= 0)
{
BuyMarket();
_barsSinceTrade = 0;
}
else if (_barsSinceTrade >= 5 && _prevDiff >= 0m && diff < 0m && candle.ClosePrice < filterValue && Position >= 0)
{
SellMarket();
_barsSinceTrade = 0;
}
_prevDiff = diff;
}
}
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, JurikMovingAverage
from StockSharp.Algo.Strategies import Strategy
class x2_ma_j_fatl_strategy(Strategy):
def __init__(self):
super(x2_ma_j_fatl_strategy, self).__init__()
self._fast_length = self.Param("FastLength", 5) \
.SetDisplay("Fast MA Length", "Length of the fast moving average", "Parameters")
self._slow_length = self.Param("SlowLength", 13) \
.SetDisplay("Slow MA Length", "Length of the slow Jurik MA", "Parameters")
self._filter_length = self.Param("FilterLength", 21) \
.SetDisplay("Filter Length", "Length of the Jurik filter", "Parameters")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(15))) \
.SetDisplay("Candle Type", "Type of candles for calculation", "General")
self._prev_diff = 0.0
self._is_initialized = False
self._bars_since_trade = 10
@property
def fast_length(self):
return self._fast_length.Value
@property
def slow_length(self):
return self._slow_length.Value
@property
def filter_length(self):
return self._filter_length.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(x2_ma_j_fatl_strategy, self).OnReseted()
self._prev_diff = 0.0
self._is_initialized = False
self._bars_since_trade = 10
def OnStarted2(self, time):
super(x2_ma_j_fatl_strategy, self).OnStarted2(time)
self._prev_diff = 0.0
self._is_initialized = False
self._bars_since_trade = 10
fast_ma = SimpleMovingAverage()
fast_ma.Length = int(self.fast_length)
slow_ma = JurikMovingAverage()
slow_ma.Length = int(self.slow_length)
filter_ma = JurikMovingAverage()
filter_ma.Length = int(self.filter_length)
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ma, slow_ma, filter_ma, self.process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawIndicator(area, fast_ma)
self.DrawIndicator(area, slow_ma)
self.DrawIndicator(area, filter_ma)
self.DrawOwnTrades(area)
def process_candle(self, candle, fast_value, slow_value, filter_value):
if candle.State != CandleStates.Finished:
return
fast_value = float(fast_value)
slow_value = float(slow_value)
filter_value = float(filter_value)
self._bars_since_trade += 1
if not self._is_initialized:
self._prev_diff = fast_value - slow_value
self._is_initialized = True
return
diff = fast_value - slow_value
close = float(candle.ClosePrice)
if self.Position > 0 and close < filter_value:
self.SellMarket()
self._bars_since_trade = 0
elif self.Position < 0 and close > filter_value:
self.BuyMarket()
self._bars_since_trade = 0
if self._bars_since_trade >= 5 and self._prev_diff <= 0 and diff > 0 and close > filter_value and self.Position <= 0:
self.BuyMarket()
self._bars_since_trade = 0
elif self._bars_since_trade >= 5 and self._prev_diff >= 0 and diff < 0 and close < filter_value and self.Position >= 0:
self.SellMarket()
self._bars_since_trade = 0
self._prev_diff = diff
def CreateClone(self):
return x2_ma_j_fatl_strategy()