Esta estrategia es un puerto simplificado de los scripts VisualTrader de MetaTrader.
Abre una única posición de mercado en la dirección elegida y adjunta órdenes de stop-loss y take-profit protectoras. Los parámetros permiten configurar la dirección, el take profit y el stop loss en valores de precio absolutos. La estrategia demuestra cómo los scripts de gestión manual de operaciones pueden recrearse usando la API de alto nivel de StockSharp.
Parámetros
Trade Direction – elegir Buy o Sell para la orden inicial.
Take Profit – valor opcional de take profit en precio absoluto. Establecer en 0 para desactivar.
Stop Loss – valor opcional de stop loss en precio absoluto. Establecer en 0 para desactivar.
Volume – volumen base de la estrategia utilizado para la orden de mercado.
Lógica de Trading
Al iniciar, la estrategia:
Crea órdenes protectoras usando StartProtection.
Envía una orden de mercado según la dirección de trading seleccionada.
El ejemplo no depende de indicadores ni de datos de mercado y está destinado a fines de demostración.
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>
/// Visual Trader strategy with EMA crossover and stop/take protection.
/// </summary>
public class VisualTraderSimulatorEditionStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public VisualTraderSimulatorEditionStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 10)
.SetGreaterThanZero()
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators");
_slowPeriod = Param(nameof(SlowPeriod), 30)
.SetGreaterThanZero()
.SetDisplay("Slow EMA", "Slow EMA period", "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();
_prevFast = 0;
_prevSlow = 0;
_hasPrev = false;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, 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 fast, decimal slow)
{
if (candle.State != CandleStates.Finished)
return;
if (_hasPrev)
{
var crossUp = _prevFast <= _prevSlow && fast > slow;
var crossDown = _prevFast >= _prevSlow && fast < slow;
if (crossUp && Position <= 0)
BuyMarket();
else if (crossDown && Position >= 0)
SellMarket();
}
_prevFast = fast;
_prevSlow = slow;
_hasPrev = true;
}
}
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 visual_trader_simulator_edition_strategy(Strategy):
def __init__(self):
super(visual_trader_simulator_edition_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 10) \
.SetDisplay("Fast EMA", "Fast EMA period", "Indicators")
self._slow_period = self.Param("SlowPeriod", 30) \
.SetDisplay("Slow EMA", "Slow EMA period", "Indicators")
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromHours(4))) \
.SetDisplay("Candle Type", "Type of candles", "General")
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(visual_trader_simulator_edition_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
def OnStarted2(self, time):
super(visual_trader_simulator_edition_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, 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, slow):
if candle.State != CandleStates.Finished:
return
if self._has_prev:
cross_up = self._prev_fast <= self._prev_slow and fast > slow
cross_down = self._prev_fast >= self._prev_slow and fast < slow
if cross_up and self.Position <= 0:
self.BuyMarket()
elif cross_down and self.Position >= 0:
self.SellMarket()
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
def CreateClone(self):
return visual_trader_simulator_edition_strategy()