MACD EA Strategy
This strategy is a StockSharp port of the MetaTrader 5 expert advisor MACD EA (barabashkakvn's edition).mq5 from folder MQL/20010. It recreates the same MACD crossover logic, partial profit taking, and money-management features while using the high-level StockSharp API.
Trading logic
- Signal source – A classic MACD indicator is calculated with configurable fast, slow, and signal periods. The strategy examines the difference between the MACD line and the signal line two and four completed candles ago. A bullish crossover (difference turns from negative to positive) opens a long trade, while the opposite condition opens a short trade.
- Position management – Every order is protected by configurable stop-loss and take-profit offsets measured in pips. The offsets are converted to prices by using the instrument price step and multiplying by ten when the instrument has 3 or 5 decimal places, mimicking the original EA's point adjustment.
- Partial profit – When enabled, half of the open position is closed once price travels
PartialProfitPipsin the trade direction. The remaining portion keeps running. - Breakeven – After price advances
BreakevenPipsin favor, the strategy enables a breakeven guard. If price returns to the original entry level, the position is closed at the entry price, just like the EA moves the stop to breakeven. - Opposite MACD signal – An opposite MACD crossover closes any remaining exposure immediately, ensuring that the strategy never keeps a position against the indicator trend.
Money management
When UseMoneyManagement is enabled, the position size increases after consecutive losing trades. The next trade uses a multiplier based on the number of consecutive losses (x2 after one loss, x3 after two losses, up to x7 for six or more losses). The multiplier is combined with the RiskMultiplier parameter to reproduce the martingale-style sizing of the original code. Winning trades reset the loss counter to zero.
Parameters
| Parameter | Description |
|---|---|
FastPeriod / SlowPeriod / SignalPeriod |
MACD calculation lengths. |
StopLossPips |
Distance to the protective stop in pips (0 disables it). |
TakeProfitPips |
Distance to the profit target in pips (0 disables it). |
PartialProfitPips |
Pips needed to close half of the position (0 disables partial exit). |
BreakevenPips |
Pips required before breakeven mode is armed (0 disables breakeven). |
UseMoneyManagement |
Enables dynamic position sizing based on the loss streak. |
RiskMultiplier |
Additional multiplier applied when money management is active. |
BaseVolume |
Base trade volume before any scaling. |
CandleType |
Candle series used for indicator calculations. |
Notes
- The strategy uses
SubscribeCandlesand indicator binding to follow the recommended high-level API pattern. - A separate Python version is not yet available. Only the C# implementation in the
CSfolder is provided. - Tests were not added or modified as requested.
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>
/// MACD crossover strategy converted from the "MACD EA" MetaTrader expert advisor.
/// Implements partial profit taking, breakeven logic, and optional money management scaling.
/// </summary>
public class MacdEaStrategy : Strategy
{
private readonly StrategyParam<int> _fastPeriod;
private readonly StrategyParam<int> _slowPeriod;
private readonly StrategyParam<int> _signalPeriod;
private readonly StrategyParam<int> _stopLossPips;
private readonly StrategyParam<int> _takeProfitPips;
private readonly StrategyParam<int> _partialProfitPips;
private readonly StrategyParam<int> _breakevenPips;
private readonly StrategyParam<bool> _useMoneyManagement;
private readonly StrategyParam<decimal> _riskMultiplier;
private readonly StrategyParam<decimal> _baseVolume;
private readonly StrategyParam<DataType> _candleType;
private MovingAverageConvergenceDivergenceSignal _macd;
private readonly List<decimal> _macdDiffs = new();
private decimal? _entryPrice;
private decimal _currentPositionVolume;
private int _entryDirection;
private bool _partialTaken;
private bool _breakevenActive;
private decimal _tradePnl;
private int _consecutiveLosses;
/// <summary>
/// Fast moving average period.
/// </summary>
public int FastPeriod
{
get => _fastPeriod.Value;
set => _fastPeriod.Value = value;
}
/// <summary>
/// Slow moving average period.
/// </summary>
public int SlowPeriod
{
get => _slowPeriod.Value;
set => _slowPeriod.Value = value;
}
/// <summary>
/// Signal moving average period.
/// </summary>
public int SignalPeriod
{
get => _signalPeriod.Value;
set => _signalPeriod.Value = value;
}
/// <summary>
/// Stop-loss distance in pips.
/// </summary>
public int StopLossPips
{
get => _stopLossPips.Value;
set => _stopLossPips.Value = value;
}
/// <summary>
/// Take-profit distance in pips.
/// </summary>
public int TakeProfitPips
{
get => _takeProfitPips.Value;
set => _takeProfitPips.Value = value;
}
/// <summary>
/// Profit target for closing half of the position in pips.
/// </summary>
public int PartialProfitPips
{
get => _partialProfitPips.Value;
set => _partialProfitPips.Value = value;
}
/// <summary>
/// Breakeven activation distance in pips.
/// </summary>
public int BreakevenPips
{
get => _breakevenPips.Value;
set => _breakevenPips.Value = value;
}
/// <summary>
/// Enables money management scaling when true.
/// </summary>
public bool UseMoneyManagement
{
get => _useMoneyManagement.Value;
set => _useMoneyManagement.Value = value;
}
/// <summary>
/// Multiplier applied to the base volume when money management is enabled.
/// </summary>
public decimal RiskMultiplier
{
get => _riskMultiplier.Value;
set => _riskMultiplier.Value = value;
}
/// <summary>
/// Base order volume.
/// </summary>
public decimal BaseVolume
{
get => _baseVolume.Value;
set => _baseVolume.Value = value;
}
/// <summary>
/// Candle type used for calculations.
/// </summary>
public DataType CandleType
{
get => _candleType.Value;
set => _candleType.Value = value;
}
/// <summary>
/// Initializes a new instance of <see cref="MacdEaStrategy"/>.
/// </summary>
public MacdEaStrategy()
{
_fastPeriod = Param(nameof(FastPeriod), 55)
.SetGreaterThanZero()
.SetDisplay("Fast MA", "Fast moving average period", "Indicators")
.SetOptimize(10, 120, 5);
_slowPeriod = Param(nameof(SlowPeriod), 69)
.SetGreaterThanZero()
.SetDisplay("Slow MA", "Slow moving average period", "Indicators")
.SetOptimize(20, 200, 5);
_signalPeriod = Param(nameof(SignalPeriod), 90)
.SetGreaterThanZero()
.SetDisplay("Signal MA", "Signal moving average period", "Indicators")
.SetOptimize(10, 150, 5);
_stopLossPips = Param(nameof(StopLossPips), 80)
.SetNotNegative()
.SetDisplay("Stop Loss", "Stop-loss distance in pips", "Risk")
.SetOptimize(0, 200, 10);
_takeProfitPips = Param(nameof(TakeProfitPips), 500)
.SetNotNegative()
.SetDisplay("Take Profit", "Take-profit distance in pips", "Risk")
.SetOptimize(0, 800, 20);
_partialProfitPips = Param(nameof(PartialProfitPips), 70)
.SetNotNegative()
.SetDisplay("Partial Profit", "Pips to close half the position", "Risk")
.SetOptimize(0, 200, 10);
_breakevenPips = Param(nameof(BreakevenPips), 0)
.SetNotNegative()
.SetDisplay("Breakeven", "Distance to activate breakeven", "Risk")
.SetOptimize(0, 200, 10);
_useMoneyManagement = Param(nameof(UseMoneyManagement), false)
.SetDisplay("Use MM", "Enable money management scaling", "Money Management");
_riskMultiplier = Param(nameof(RiskMultiplier), 1m)
.SetGreaterThanZero()
.SetDisplay("Risk Multiplier", "Multiplier applied to base volume", "Money Management")
.SetOptimize(0.5m, 5m, 0.5m);
_baseVolume = Param(nameof(BaseVolume), 1m)
.SetGreaterThanZero()
.SetDisplay("Base Volume", "Default order size", "General")
.SetOptimize(0.1m, 5m, 0.1m);
_candleType = Param(nameof(CandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Candle Type", "Primary timeframe", "General");
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
return [(Security, CandleType)];
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
_macdDiffs.Clear();
_entryPrice = null;
_currentPositionVolume = 0m;
_entryDirection = 0;
_partialTaken = false;
_breakevenActive = false;
_tradePnl = 0m;
_consecutiveLosses = 0;
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
Volume = BaseVolume;
_macd = new MovingAverageConvergenceDivergenceSignal
{
Macd = { ShortMa = { Length = FastPeriod }, LongMa = { Length = SlowPeriod } },
SignalMa = { Length = SignalPeriod }
};
var subscription = SubscribeCandles(CandleType);
subscription
.Bind(ProcessCandle)
.Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, subscription);
DrawOwnTrades(area);
}
}
private void ProcessCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
var result = _macd.Process(candle);
if (!_macd.IsFormed)
return;
var macdValue = result as MovingAverageConvergenceDivergenceSignalValue;
if (macdValue == null)
return;
var macdLine = macdValue.Macd ?? 0m;
var signalLine = macdValue.Signal ?? 0m;
var diff = macdLine - signalLine;
_macdDiffs.Add(diff);
if (_macdDiffs.Count > 50)
_macdDiffs.RemoveRange(0, _macdDiffs.Count - 50);
if (_macdDiffs.Count < 5)
return;
var diffTwo = _macdDiffs[^3];
var diffFour = _macdDiffs[^5];
var bullish = diffTwo > 0m && diffFour < 0m;
var bearish = diffTwo < 0m && diffFour > 0m;
var pip = GetPipSize();
if (Position > 0m)
{
if (HandleLongPosition(candle, bearish, pip))
return;
}
else if (Position < 0m)
{
if (HandleShortPosition(candle, bullish, pip))
return;
}
if (Position != 0m)
return;
var volume = CalculateOrderVolume();
if (volume <= 0m)
return;
if (bullish)
{
BuyMarket(volume);
InitializeTradeState(candle.ClosePrice, volume, 1);
}
else if (bearish)
{
SellMarket(volume);
InitializeTradeState(candle.ClosePrice, volume, -1);
}
}
private bool HandleLongPosition(ICandleMessage candle, bool bearishSignal, decimal pip)
{
if (_entryPrice is not decimal entry)
return false;
var remainingVolume = _currentPositionVolume > 0m ? _currentPositionVolume : Math.Abs(Position);
remainingVolume = NormalizeVolume(remainingVolume);
if (remainingVolume <= 0m)
return false;
var stop = StopLossPips > 0 ? entry - StopLossPips * pip : (decimal?)null;
var take = TakeProfitPips > 0 ? entry + TakeProfitPips * pip : (decimal?)null;
var partial = PartialProfitPips > 0 ? entry + PartialProfitPips * pip : (decimal?)null;
var breakeven = BreakevenPips > 0 ? entry + BreakevenPips * pip : (decimal?)null;
if (stop is decimal stopPrice && candle.LowPrice <= stopPrice)
{
CloseLong(remainingVolume, stopPrice);
return true;
}
if (take is decimal takePrice && candle.HighPrice >= takePrice)
{
CloseLong(remainingVolume, takePrice);
return true;
}
if (!_partialTaken && partial is decimal partialPrice && candle.HighPrice >= partialPrice)
{
var halfVolume = NormalizeVolume(remainingVolume / 2m);
if (halfVolume > 0m)
{
SellMarket(halfVolume);
RegisterPnl(partialPrice, halfVolume);
_currentPositionVolume = Math.Max(0m, _currentPositionVolume - halfVolume);
_partialTaken = true;
return true;
}
}
if (breakeven is decimal breakevenPrice && !_breakevenActive && candle.HighPrice >= breakevenPrice)
_breakevenActive = true;
if (_breakevenActive && candle.LowPrice <= entry)
{
CloseLong(remainingVolume, entry);
return true;
}
if (bearishSignal)
{
CloseLong(remainingVolume, candle.ClosePrice);
return true;
}
return false;
}
private bool HandleShortPosition(ICandleMessage candle, bool bullishSignal, decimal pip)
{
if (_entryPrice is not decimal entry)
return false;
var remainingVolume = _currentPositionVolume > 0m ? _currentPositionVolume : Math.Abs(Position);
remainingVolume = NormalizeVolume(remainingVolume);
if (remainingVolume <= 0m)
return false;
var stop = StopLossPips > 0 ? entry + StopLossPips * pip : (decimal?)null;
var take = TakeProfitPips > 0 ? entry - TakeProfitPips * pip : (decimal?)null;
var partial = PartialProfitPips > 0 ? entry - PartialProfitPips * pip : (decimal?)null;
var breakeven = BreakevenPips > 0 ? entry - BreakevenPips * pip : (decimal?)null;
if (stop is decimal stopPrice && candle.HighPrice >= stopPrice)
{
CloseShort(remainingVolume, stopPrice);
return true;
}
if (take is decimal takePrice && candle.LowPrice <= takePrice)
{
CloseShort(remainingVolume, takePrice);
return true;
}
if (!_partialTaken && partial is decimal partialPrice && candle.LowPrice <= partialPrice)
{
var halfVolume = NormalizeVolume(remainingVolume / 2m);
if (halfVolume > 0m)
{
BuyMarket(halfVolume);
RegisterPnl(partialPrice, halfVolume);
_currentPositionVolume = Math.Max(0m, _currentPositionVolume - halfVolume);
_partialTaken = true;
return true;
}
}
if (breakeven is decimal breakevenPrice && !_breakevenActive && candle.LowPrice <= breakevenPrice)
_breakevenActive = true;
if (_breakevenActive && candle.HighPrice >= entry)
{
CloseShort(remainingVolume, entry);
return true;
}
if (bullishSignal)
{
CloseShort(remainingVolume, candle.ClosePrice);
return true;
}
return false;
}
private void CloseLong(decimal volume, decimal exitPrice)
{
volume = NormalizeVolume(volume);
if (volume <= 0m)
return;
SellMarket(volume);
RegisterPnl(exitPrice, volume);
_currentPositionVolume = Math.Max(0m, _currentPositionVolume - volume);
FinalizeTradeIfClosed();
}
private void CloseShort(decimal volume, decimal exitPrice)
{
volume = NormalizeVolume(volume);
if (volume <= 0m)
return;
BuyMarket(volume);
RegisterPnl(exitPrice, volume);
_currentPositionVolume = Math.Max(0m, _currentPositionVolume - volume);
FinalizeTradeIfClosed();
}
private void InitializeTradeState(decimal entryPrice, decimal volume, int direction)
{
_entryPrice = entryPrice;
_currentPositionVolume = NormalizeVolume(Math.Abs(volume));
_entryDirection = direction;
_partialTaken = false;
_breakevenActive = false;
_tradePnl = 0m;
}
private decimal CalculateOrderVolume()
{
var volume = BaseVolume;
if (UseMoneyManagement)
{
var multiplier = _consecutiveLosses switch
{
0 => 1m,
1 => 2m,
2 => 3m,
3 => 4m,
4 => 5m,
5 => 6m,
_ => 7m,
};
volume *= multiplier * RiskMultiplier;
}
return NormalizeVolume(volume);
}
private decimal NormalizeVolume(decimal volume)
{
if (volume <= 0m)
return 0m;
var sec = Security;
if (sec == null)
return volume;
var step = sec.VolumeStep ?? 1m;
if (step <= 0m)
step = 1m;
var steps = Math.Floor(volume / step);
volume = steps * step;
if (volume < step)
return 0m;
return volume;
}
private decimal GetPipSize()
{
var sec = Security;
var step = sec?.PriceStep ?? 1m;
if (step <= 0m)
return 1m;
var tmp = step;
var decimals = 0;
while (decimals < 10 && decimal.Truncate(tmp) != tmp)
{
tmp *= 10m;
decimals++;
}
if (decimals == 3 || decimals == 5)
return step * 10m;
return step;
}
private void RegisterPnl(decimal exitPrice, decimal volume)
{
if (_entryPrice is not decimal entry || _entryDirection == 0)
return;
var pnl = (exitPrice - entry) * volume * _entryDirection;
_tradePnl += pnl;
}
private void FinalizeTradeIfClosed()
{
if (_currentPositionVolume > 0m)
return;
if (_tradePnl > 0m)
_consecutiveLosses = 0;
else if (_tradePnl < 0m)
_consecutiveLosses++;
else
_consecutiveLosses = 0;
ResetTradeState();
}
private void ResetTradeState()
{
_entryPrice = null;
_currentPositionVolume = 0m;
_entryDirection = 0;
_partialTaken = false;
_breakevenActive = false;
_tradePnl = 0m;
}
}
import clr
clr.AddReference("StockSharp.Messages")
clr.AddReference("StockSharp.Algo")
clr.AddReference("StockSharp.Algo.Indicators")
clr.AddReference("StockSharp.Algo.Strategies")
from System import TimeSpan, Math
from StockSharp.Messages import DataType, CandleStates
from StockSharp.Algo.Indicators import MovingAverageConvergenceDivergenceSignal, CandleIndicatorValue
from StockSharp.Algo.Strategies import Strategy
class macd_ea_strategy(Strategy):
def __init__(self):
super(macd_ea_strategy, self).__init__()
self._fast_period = self.Param("FastPeriod", 55)
self._slow_period = self.Param("SlowPeriod", 69)
self._signal_period = self.Param("SignalPeriod", 90)
self._stop_loss_pips = self.Param("StopLossPips", 80)
self._take_profit_pips = self.Param("TakeProfitPips", 500)
self._partial_profit_pips = self.Param("PartialProfitPips", 70)
self._breakeven_pips = self.Param("BreakevenPips", 0)
self._use_money_management = self.Param("UseMoneyManagement", False)
self._risk_multiplier = self.Param("RiskMultiplier", 1.0)
self._base_volume = self.Param("BaseVolume", 1.0)
self._candle_type = self.Param("CandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._macd = None
self._macd_diffs = []
self._entry_price = None
self._current_position_volume = 0.0
self._entry_direction = 0
self._partial_taken = False
self._breakeven_active = False
self._trade_pnl = 0.0
self._consecutive_losses = 0
@property
def FastPeriod(self):
return self._fast_period.Value
@property
def SlowPeriod(self):
return self._slow_period.Value
@property
def SignalPeriod(self):
return self._signal_period.Value
@property
def StopLossPips(self):
return self._stop_loss_pips.Value
@property
def TakeProfitPips(self):
return self._take_profit_pips.Value
@property
def PartialProfitPips(self):
return self._partial_profit_pips.Value
@property
def BreakevenPips(self):
return self._breakeven_pips.Value
@property
def UseMoneyManagement(self):
return self._use_money_management.Value
@property
def RiskMultiplier(self):
return self._risk_multiplier.Value
@property
def BaseVolume(self):
return self._base_volume.Value
@property
def CandleType(self):
return self._candle_type.Value
def OnStarted2(self, time):
super(macd_ea_strategy, self).OnStarted2(time)
self.Volume = float(self.BaseVolume)
self._macd = MovingAverageConvergenceDivergenceSignal()
self._macd.Macd.ShortMa.Length = self.FastPeriod
self._macd.Macd.LongMa.Length = self.SlowPeriod
self._macd.SignalMa.Length = self.SignalPeriod
subscription = self.SubscribeCandles(self.CandleType)
subscription.Bind(self._process_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, subscription)
self.DrawOwnTrades(area)
def _process_candle(self, candle):
if candle.State != CandleStates.Finished:
return
civ = CandleIndicatorValue(self._macd, candle)
civ.IsFinal = True
result = self._macd.Process(civ)
if not self._macd.IsFormed:
return
try:
macd_line = float(result.Macd) if result.Macd is not None else 0.0
signal_line = float(result.Signal) if result.Signal is not None else 0.0
except:
return
diff = macd_line - signal_line
self._macd_diffs.append(diff)
if len(self._macd_diffs) > 50:
self._macd_diffs = self._macd_diffs[-50:]
if len(self._macd_diffs) < 5:
return
diff_two = self._macd_diffs[-3]
diff_four = self._macd_diffs[-5]
bullish = diff_two > 0 and diff_four < 0
bearish = diff_two < 0 and diff_four > 0
pip = self._get_pip_size()
pos = float(self.Position)
if pos > 0:
if self._handle_long_position(candle, bearish, pip):
return
elif pos < 0:
if self._handle_short_position(candle, bullish, pip):
return
if float(self.Position) != 0:
return
volume = self._calculate_order_volume()
if volume <= 0:
return
if bullish:
self.BuyMarket(volume)
self._init_trade_state(float(candle.ClosePrice), volume, 1)
elif bearish:
self.SellMarket(volume)
self._init_trade_state(float(candle.ClosePrice), volume, -1)
def _handle_long_position(self, candle, bearish_signal, pip):
if self._entry_price is None:
return False
entry = self._entry_price
remaining = self._current_position_volume if self._current_position_volume > 0 else abs(float(self.Position))
if remaining <= 0:
return False
stop = entry - self.StopLossPips * pip if self.StopLossPips > 0 else None
take = entry + self.TakeProfitPips * pip if self.TakeProfitPips > 0 else None
partial = entry + self.PartialProfitPips * pip if self.PartialProfitPips > 0 else None
breakeven = entry + self.BreakevenPips * pip if self.BreakevenPips > 0 else None
if stop is not None and float(candle.LowPrice) <= stop:
self.SellMarket(remaining)
self._register_pnl(stop, remaining)
self._current_position_volume = 0.0
self._finalize_trade()
return True
if take is not None and float(candle.HighPrice) >= take:
self.SellMarket(remaining)
self._register_pnl(take, remaining)
self._current_position_volume = 0.0
self._finalize_trade()
return True
if not self._partial_taken and partial is not None and float(candle.HighPrice) >= partial:
half = remaining / 2.0
if half > 0:
self.SellMarket(half)
self._register_pnl(partial, half)
self._current_position_volume = max(0.0, self._current_position_volume - half)
self._partial_taken = True
return True
if breakeven is not None and not self._breakeven_active and float(candle.HighPrice) >= breakeven:
self._breakeven_active = True
if self._breakeven_active and float(candle.LowPrice) <= entry:
self.SellMarket(remaining)
self._register_pnl(entry, remaining)
self._current_position_volume = 0.0
self._finalize_trade()
return True
if bearish_signal:
self.SellMarket(remaining)
self._register_pnl(float(candle.ClosePrice), remaining)
self._current_position_volume = 0.0
self._finalize_trade()
return True
return False
def _handle_short_position(self, candle, bullish_signal, pip):
if self._entry_price is None:
return False
entry = self._entry_price
remaining = self._current_position_volume if self._current_position_volume > 0 else abs(float(self.Position))
if remaining <= 0:
return False
stop = entry + self.StopLossPips * pip if self.StopLossPips > 0 else None
take = entry - self.TakeProfitPips * pip if self.TakeProfitPips > 0 else None
partial = entry - self.PartialProfitPips * pip if self.PartialProfitPips > 0 else None
breakeven = entry - self.BreakevenPips * pip if self.BreakevenPips > 0 else None
if stop is not None and float(candle.HighPrice) >= stop:
self.BuyMarket(remaining)
self._register_pnl(stop, remaining)
self._current_position_volume = 0.0
self._finalize_trade()
return True
if take is not None and float(candle.LowPrice) <= take:
self.BuyMarket(remaining)
self._register_pnl(take, remaining)
self._current_position_volume = 0.0
self._finalize_trade()
return True
if not self._partial_taken and partial is not None and float(candle.LowPrice) <= partial:
half = remaining / 2.0
if half > 0:
self.BuyMarket(half)
self._register_pnl(partial, half)
self._current_position_volume = max(0.0, self._current_position_volume - half)
self._partial_taken = True
return True
if breakeven is not None and not self._breakeven_active and float(candle.LowPrice) <= breakeven:
self._breakeven_active = True
if self._breakeven_active and float(candle.HighPrice) >= entry:
self.BuyMarket(remaining)
self._register_pnl(entry, remaining)
self._current_position_volume = 0.0
self._finalize_trade()
return True
if bullish_signal:
self.BuyMarket(remaining)
self._register_pnl(float(candle.ClosePrice), remaining)
self._current_position_volume = 0.0
self._finalize_trade()
return True
return False
def _init_trade_state(self, entry_price, volume, direction):
self._entry_price = entry_price
self._current_position_volume = abs(volume)
self._entry_direction = direction
self._partial_taken = False
self._breakeven_active = False
self._trade_pnl = 0.0
def _calculate_order_volume(self):
volume = float(self.BaseVolume)
if self.UseMoneyManagement:
losses = self._consecutive_losses
if losses == 0:
mult = 1.0
elif losses == 1:
mult = 2.0
elif losses == 2:
mult = 3.0
elif losses == 3:
mult = 4.0
elif losses == 4:
mult = 5.0
elif losses == 5:
mult = 6.0
else:
mult = 7.0
volume *= mult * float(self.RiskMultiplier)
return volume
def _get_pip_size(self):
sec = self.Security
step = float(sec.PriceStep) if sec is not None and sec.PriceStep is not None else 1.0
if step <= 0:
return 1.0
tmp = step
decimals = 0
while decimals < 10 and int(tmp) != tmp:
tmp *= 10.0
decimals += 1
if decimals == 3 or decimals == 5:
return step * 10.0
return step
def _register_pnl(self, exit_price, volume):
if self._entry_price is None or self._entry_direction == 0:
return
pnl = (exit_price - self._entry_price) * volume * self._entry_direction
self._trade_pnl += pnl
def _finalize_trade(self):
if self._current_position_volume > 0:
return
if self._trade_pnl > 0:
self._consecutive_losses = 0
elif self._trade_pnl < 0:
self._consecutive_losses += 1
else:
self._consecutive_losses = 0
self._reset_trade_state()
def _reset_trade_state(self):
self._entry_price = None
self._current_position_volume = 0.0
self._entry_direction = 0
self._partial_taken = False
self._breakeven_active = False
self._trade_pnl = 0.0
def OnReseted(self):
super(macd_ea_strategy, self).OnReseted()
self._macd_diffs = []
self._entry_price = None
self._current_position_volume = 0.0
self._entry_direction = 0
self._partial_taken = False
self._breakeven_active = False
self._trade_pnl = 0.0
self._consecutive_losses = 0
def CreateClone(self):
return macd_ea_strategy()