MTrainer Strategy
MTrainer Strategy replicates the MT4 MTrainer script. It opens a position when price reaches a predefined entry line and manages it with stop-loss, take-profit and optional partial close lines. The strategy is designed for manual practice in the visual tester.
Details
- Entry Criteria: price crosses entry line
- Long/Short: Both
- Exit Criteria: stop loss, take profit, or partial close
- Stops: Yes
- Default Values:
EntryPrice= 0TakeProfitPrice= 0StopLossPrice= 0PartialClosePercent= 0PartialClosePrice= 0Volume= 1
- Filters:
- Category: Utility
- Direction: Both
- Indicators: None
- Stops: Yes
- Complexity: Basic
- Timeframe: Any
- Seasonality: No
- Neural networks: No
- Divergence: No
- Risk level: Low
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>
/// Training strategy that enters on EMA crossover and manages position with
/// stop loss and take profit based on ATR distance.
/// </summary>
public class MTrainerStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _stdPeriod;
private readonly StrategyParam<decimal> _slMultiplier;
private readonly StrategyParam<decimal> _tpMultiplier;
private readonly StrategyParam<DataType> _candleType;
private decimal _prevFast;
private decimal _prevSlow;
private bool _hasPrev;
private decimal _entryPrice;
private decimal _stopLoss;
private decimal _takeProfit;
public int FastPeriod { get => _fastPeriod.Value; set => _fastPeriod.Value = value; }
public int SlowPeriod { get => _slowPeriod.Value; set => _slowPeriod.Value = value; }
public int StdPeriod { get => _stdPeriod.Value; set => _stdPeriod.Value = value; }
public decimal SlMultiplier { get => _slMultiplier.Value; set => _slMultiplier.Value = value; }
public decimal TpMultiplier { get => _tpMultiplier.Value; set => _tpMultiplier.Value = value; }
public DataType CandleType { get => _candleType.Value; set => _candleType.Value = value; }
public MTrainerStrategy()
{
_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");
_stdPeriod = Param(nameof(StdPeriod), 14)
.SetGreaterThanZero()
.SetDisplay("StdDev Period", "StdDev period for SL/TP", "Indicators");
_slMultiplier = Param(nameof(SlMultiplier), 2m)
.SetDisplay("SL Multiplier", "ATR multiplier for stop loss", "Risk");
_tpMultiplier = Param(nameof(TpMultiplier), 3m)
.SetDisplay("TP Multiplier", "ATR multiplier for take profit", "Risk");
_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;
_entryPrice = 0;
_stopLoss = 0;
_takeProfit = 0;
}
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
var fastEma = new ExponentialMovingAverage { Length = FastPeriod };
var slowEma = new ExponentialMovingAverage { Length = SlowPeriod };
var stdDev = new StandardDeviation { Length = StdPeriod };
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(fastEma, slowEma, stdDev, 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, decimal stdVal)
{
if (candle.State != CandleStates.Finished)
return;
// Check SL/TP for open positions
if (Position > 0)
{
if (candle.LowPrice <= _stopLoss || candle.HighPrice >= _takeProfit)
{
SellMarket();
_entryPrice = 0;
}
}
else if (Position < 0)
{
if (candle.HighPrice >= _stopLoss || candle.LowPrice <= _takeProfit)
{
BuyMarket();
_entryPrice = 0;
}
}
if (_hasPrev && stdVal > 0)
{
var crossUp = _prevFast <= _prevSlow && fast > slow;
var crossDown = _prevFast >= _prevSlow && fast < slow;
if (crossUp && Position <= 0)
{
BuyMarket();
_entryPrice = candle.ClosePrice;
_stopLoss = _entryPrice - stdVal * SlMultiplier;
_takeProfit = _entryPrice + stdVal * TpMultiplier;
}
else if (crossDown && Position >= 0)
{
SellMarket();
_entryPrice = candle.ClosePrice;
_stopLoss = _entryPrice + stdVal * SlMultiplier;
_takeProfit = _entryPrice - stdVal * TpMultiplier;
}
}
_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, StandardDeviation
from StockSharp.Algo.Strategies import Strategy
class m_trainer_strategy(Strategy):
def __init__(self):
super(m_trainer_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._std_period = self.Param("StdPeriod", 14) \
.SetDisplay("StdDev Period", "StdDev period for SL/TP", "Indicators")
self._sl_multiplier = self.Param("SlMultiplier", 2.0) \
.SetDisplay("SL Multiplier", "ATR multiplier for stop loss", "Risk")
self._tp_multiplier = self.Param("TpMultiplier", 3.0) \
.SetDisplay("TP Multiplier", "ATR multiplier for take profit", "Risk")
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
self._entry_price = 0.0
self._stop_loss = 0.0
self._take_profit = 0.0
@property
def fast_period(self):
return self._fast_period.Value
@property
def slow_period(self):
return self._slow_period.Value
@property
def std_period(self):
return self._std_period.Value
@property
def sl_multiplier(self):
return self._sl_multiplier.Value
@property
def tp_multiplier(self):
return self._tp_multiplier.Value
@property
def candle_type(self):
return self._candle_type.Value
def OnReseted(self):
super(m_trainer_strategy, self).OnReseted()
self._prev_fast = 0.0
self._prev_slow = 0.0
self._has_prev = False
self._entry_price = 0.0
self._stop_loss = 0.0
self._take_profit = 0.0
def OnStarted2(self, time):
super(m_trainer_strategy, self).OnStarted2(time)
fast_ema = ExponentialMovingAverage()
fast_ema.Length = self.fast_period
slow_ema = ExponentialMovingAverage()
slow_ema.Length = self.slow_period
std_dev = StandardDeviation()
std_dev.Length = self.std_period
subscription = self.SubscribeCandles(self.candle_type)
subscription.Bind(fast_ema, slow_ema, std_dev, 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, std_val):
if candle.State != CandleStates.Finished:
return
# Check SL/TP for open positions
if self.Position > 0:
if candle.LowPrice <= self._stop_loss or candle.HighPrice >= self._take_profit:
self.SellMarket()
self._entry_price = 0
elif self.Position < 0:
if candle.HighPrice >= self._stop_loss or candle.LowPrice <= self._take_profit:
self.BuyMarket()
self._entry_price = 0
if self._has_prev and std_val > 0:
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()
self._entry_price = candle.ClosePrice
self._stop_loss = self._entry_price - std_val * self.sl_multiplier
self._take_profit = self._entry_price + std_val * self.tp_multiplier
elif cross_down and self.Position >= 0:
self.SellMarket()
self._entry_price = candle.ClosePrice
self._stop_loss = self._entry_price + std_val * self.sl_multiplier
self._take_profit = self._entry_price - std_val * self.tp_multiplier
self._prev_fast = fast
self._prev_slow = slow
self._has_prev = True
def CreateClone(self):
return m_trainer_strategy()