Diese Strategie ist ein konträres gleitender-Durchschnitt-Kreuzungssystem, das vom ursprünglichen MQL4-Experten X_trader_v2 konvertiert wurde. Es verwendet zwei gleitende Durchschnitte, um plötzliche Umkehrungen zu erkennen, und führt Trades entgegen der Kreuzungsrichtung aus.
Funktionsweise
Zwei einfache gleitende Durchschnitte werden auf dem ausgewählten Zeitrahmen berechnet.
Wenn der schnelle MA den langsamen MA nach oben kreuzt, eröffnet die Strategie eine Short-Position.
Wenn der schnelle MA den langsamen MA nach unten kreuzt, eröffnet die Strategie eine Long-Position.
Es kann immer nur eine Position gleichzeitig offen sein. Ein neuer Trade wird erst platziert, nachdem der vorherige geschlossen wurde und ein neues Signal erscheint.
Der integrierte Schutz platziert automatisch Stop-Loss- und Take-Profit-Orders.
Parameter
Ma1Period – Periode des schnellen gleitenden Durchschnitts.
Ma2Period – Periode des langsamen gleitenden Durchschnitts.
TakeProfitTicks – Take-Profit-Abstand in Preis-Ticks.
StopLossTicks – Stop-Loss-Abstand in Preis-Ticks.
CandleType – Kerzentyp für Berechnungen.
Hinweise
Die Strategie abonniert Kerzendaten über die High-Level-API.
Indikatorwerte werden über Bindings verarbeitet, ohne direkte Aufrufe von GetValue.
Der Algorithmus speichert vorherige Indikatorwerte intern, um aufwändige Historienabfragen zu vermeiden.
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()