Esta estrategia es un sistema de cruce de medias móviles contrario convertido del experto original MQL4 X_trader_v2. Utiliza dos medias móviles para detectar reversiones repentinas y ejecuta operaciones en sentido opuesto a la dirección del cruce.
Cómo funciona
Se calculan dos medias móviles simples en el marco temporal seleccionado.
Cuando la MA rápida cruza por encima de la MA lenta, la estrategia abre una posición corta.
Cuando la MA rápida cruza por debajo de la MA lenta, la estrategia abre una posición larga.
Solo puede haber una posición abierta a la vez. Una nueva operación se coloca solo después de que la anterior se cierre y aparezca una nueva señal.
La protección integrada coloca automáticamente órdenes de stop-loss y take-profit.
Parámetros
Ma1Period – período de la media móvil rápida.
Ma2Period – período de la media móvil lenta.
TakeProfitTicks – distancia del take-profit en ticks de precio.
StopLossTicks – distancia del stop-loss en ticks de precio.
CandleType – tipo de vela utilizado para los cálculos.
Notas
La estrategia se suscribe a datos de velas a través de la API de alto nivel.
Los valores de los indicadores se procesan mediante enlaces sin llamadas directas a GetValue.
El algoritmo almacena internamente los valores anteriores de los indicadores para evitar búsquedas exhaustivas en el historial.
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>
/// Contrarian moving average crossover strategy (X trader v2).
/// </summary>
public class XTraderV2Strategy : Strategy
{
private readonly StrategyParam<int> _ma1Period;
private readonly StrategyParam<int> _ma2Period;
private readonly StrategyParam<DataType> _candleType;
private decimal _ma1Prev;
private decimal _ma1Prev2;
private decimal _ma2Prev;
private decimal _ma2Prev2;
private bool _hasPrev2;
public int Ma1Period { get => _ma1Period.Value; set => _ma1Period.Value = value; }
public int Ma2Period { get => _ma2Period.Value; set => _ma2Period.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public XTraderV2Strategy()
{
_ma1Period = Param(nameof(Ma1Period), 16)
.SetGreaterThanZero()
.SetDisplay("MA1 Period", "Period for the first moving average", "Indicators");
_ma2Period = Param(nameof(Ma2Period), 10)
.SetGreaterThanZero()
.SetDisplay("MA2 Period", "Period for the second moving average", "Indicators");
_candleType = Param(nameof(CandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Candle Type", "Type of candles", "General");
}
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
=> [(Security, CandleType)];
protected override void OnReseted()
{
base.OnReseted();
_ma1Prev = 0;
_ma1Prev2 = 0;
_ma2Prev = 0;
_ma2Prev2 = 0;
_hasPrev2 = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var ma1 = new ExponentialMovingAverage { Length = Ma1Period };
var ma2 = new ExponentialMovingAverage { Length = Ma2Period };
SubscribeCandles(CandleType)
.Bind(ma1, ma2, ProcessCandle)
.Start();
}
private void ProcessCandle(ICandleMessage candle, decimal ma1, decimal ma2)
{
if (candle.State != CandleStates.Finished) return;
if (_ma1Prev == 0)
{
_ma1Prev = ma1;
_ma2Prev = ma2;
return;
}
if (!_hasPrev2)
{
_ma1Prev2 = _ma1Prev;
_ma2Prev2 = _ma2Prev;
_ma1Prev = ma1;
_ma2Prev = ma2;
_hasPrev2 = true;
return;
}
// Contrarian: sell when MA1 crosses above MA2, buy when crosses below
var sellSignal = ma1 > ma2 && _ma1Prev > _ma2Prev && _ma1Prev2 < _ma2Prev2;
var buySignal = ma1 < ma2 && _ma1Prev < _ma2Prev && _ma1Prev2 > _ma2Prev2;
if (sellSignal && Position >= 0)
{
if (Position > 0) SellMarket();
SellMarket();
}
else if (buySignal && Position <= 0)
{
if (Position < 0) BuyMarket();
BuyMarket();
}
_ma1Prev2 = _ma1Prev;
_ma2Prev2 = _ma2Prev;
_ma1Prev = ma1;
_ma2Prev = ma2;
}
}
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 ExponentialMovingAverage
from StockSharp.Algo.Strategies import Strategy
class x_trader_v2_strategy(Strategy):
def __init__(self):
super(x_trader_v2_strategy, self).__init__()
self._ma1_period = self.Param("Ma1Period", 16) \
.SetDisplay("MA1 Period", "Period for the first moving average", "Indicators")
self._ma2_period = self.Param("Ma2Period", 10) \
.SetDisplay("MA2 Period", "Period for the second moving average", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._ma1_prev = 0.0
self._ma1_prev2 = 0.0
self._ma2_prev = 0.0
self._ma2_prev2 = 0.0
self._has_prev2 = False
@property
def ma1_period(self):
return self._ma1_period.Value
@property
def ma2_period(self):
return self._ma2_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(x_trader_v2_strategy, self).OnReseted()
self._ma1_prev = 0.0
self._ma1_prev2 = 0.0
self._ma2_prev = 0.0
self._ma2_prev2 = 0.0
self._has_prev2 = False
def OnStarted2(self, time):
super(x_trader_v2_strategy, self).OnStarted2(time)
ma1 = ExponentialMovingAverage()
ma1.Length = self.ma1_period
ma2 = ExponentialMovingAverage()
ma2.Length = self.ma2_period
self.SubscribeCandles(self.candle_type).Bind(ma1, ma2, self.process_candle).Start()
def process_candle(self, candle, ma1_val, ma2_val):
if candle.State != CandleStates.Finished:
return
m1 = float(ma1_val)
m2 = float(ma2_val)
if self._ma1_prev == 0.0:
self._ma1_prev = m1
self._ma2_prev = m2
return
if not self._has_prev2:
self._ma1_prev2 = self._ma1_prev
self._ma2_prev2 = self._ma2_prev
self._ma1_prev = m1
self._ma2_prev = m2
self._has_prev2 = True
return
sell_signal = m1 > m2 and self._ma1_prev > self._ma2_prev and self._ma1_prev2 < self._ma2_prev2
buy_signal = m1 < m2 and self._ma1_prev < self._ma2_prev and self._ma1_prev2 > self._ma2_prev2
if sell_signal and self.Position >= 0:
if self.Position > 0:
self.SellMarket()
self.SellMarket()
elif buy_signal and self.Position <= 0:
if self.Position < 0:
self.BuyMarket()
self.BuyMarket()
self._ma1_prev2 = self._ma1_prev
self._ma2_prev2 = self._ma2_prev
self._ma1_prev = m1
self._ma2_prev = m2
def CreateClone(self):
return x_trader_v2_strategy()