Invest System 4.5 es un asesor experto de MetaTrader 5 que ha sido portado a la API de estrategia de alto nivel de StockSharp. La estrategia opera el par EUR/USD siguiendo la dirección de la vela de 4 horas completada anterior. Se permite una sola operación durante los primeros minutos de la nueva sesión de 4 horas y el dimensionamiento de posición se adapta al rendimiento realizado y al crecimiento de la cuenta.
El código se basa exclusivamente en la API de alto nivel: se utilizan suscripciones automáticas de velas para monitorear tanto el sesgo direccional de 4 horas como la ventana de entrada de marco temporal inferior, mientras que el helper StartProtection integrado aplica niveles estáticos de take-profit y stop-loss expresados en pips.
Lógica de trading
Sesgo direccional – al cierre de cada vela de 4 horas terminada, la estrategia almacena si la vela cerró alcista o bajista. Una vela alcista habilita solo entradas largas para la próxima sesión, mientras que una vela bajista habilita solo cortos. Si la vela cierra exactamente en su apertura, se mantiene la dirección anterior.
Timing de entrada – cuando comienza una nueva vela de 4 horas, se abre una ventana de entrada. La ventana permanece válida por un número configurable de minutos (15 por defecto). La estrategia observa velas de marco temporal inferior (1 minuto por defecto) y puede enviar como máximo una orden de mercado si se satisfacen todos los filtros mientras la ventana está activa.
Posición única – la estrategia nunca pirámide. Si ya hay una posición abierta, no se procesan nuevas señales hasta la próxima sesión de 4 horas. Una vez enviada una orden, la ventana de entrada se cierra inmediatamente para replicar el comportamiento de MetaTrader.
Seguimiento de ganancias y pérdidas – cuando una posición se cierra completamente, se captura el PnL realizado para impulsar la lógica adaptativa de lotes descrita a continuación.
Reglas de dimensionamiento de posición
El asesor experto original usa dos capas de gestión de dinero:
Hitos de capital: el saldo inicial de la cuenta se almacena en la primera actualización. Cuando el capital supera 2×, 3× … 6× el saldo inicial, el tamaño del lote base aumenta proporcionalmente. La Etapa 1 comienza en BaseLot, la etapa 2 lo duplica, la etapa 3 lo triplica, y así sucesivamente. Los tamaños de lote secundarios (Lot2, Lot3, Lot4) se derivan usando los multiplicadores originales (×2, ×7 y ×14 respectivamente).
Escalada Plan B: se mantiene un único valor de volumen global entre operaciones.
Después de una operación perdedora con el lote base, el volumen se eleva al segundo lote (Lot3).
Si ocurre otra pérdida mientras se opera con el segundo lote, se activa el "Plan B". El Plan B reasigna las opciones de lote internas de modo que el lote base se convierte en Lot2 y el lote agresivo en Lot4. El volumen actual no cambia inmediatamente, pero cualquier pérdida posterior empuja la estrategia al lote agresivo. El Plan B se cancela automáticamente cuando la cuenta alcanza un nuevo máximo de capital.
Una operación rentable siempre restablece el volumen actual al lote base para la etapa activa.
Estas reglas reproducen fielmente la escalada de lotes en cascada de la versión MetaTrader sin iterar manualmente a través de órdenes o usar colecciones.
Gestión de riesgos
StartProtection configura tanto el stop-loss como el take-profit en unidades de precio absoluto derivadas del tamaño del pip. Los stops y objetivos se registran solo una vez cuando se inicia la estrategia, tal como el EA original adjunta los valores a cada orden.
Solo se usan órdenes de mercado. La propia estrategia no realiza posiciones de cobertura, escalado ni salidas parciales; las salidas ocurren a través de las órdenes de protección configuradas.
Parámetros de la estrategia
Parámetro
Descripción
Por defecto
Rango de optimización
StopLossPips
Distancia del stop-loss en pips. Use 0 para deshabilitar el stop.
240
120 – 360, paso 20
TakeProfitPips
Distancia del take-profit en pips. Use 0 para deshabilitar el objetivo.
40
20 – 80, paso 10
EntryWindowMinutes
Duración de la ventana de entrada después de que se abre cada nueva vela de 4 horas.
15
5 – 30, paso 5
SignalCandleType
Serie de velas usada para monitorear la ventana de entrada (1 minuto por defecto).
Marco temporal de 1 minuto
–
TrendCandleType
Vela de marco temporal superior usada para construir el sesgo direccional (4 horas por defecto).
Marco temporal de 4 horas
–
BaseLot
Tamaño de lote inicial para la etapa 1. Los demás tamaños de lote se derivan automáticamente.
La estrategia espera que el instrumento adjunto proporcione tanto la serie de velas de 4 horas como la serie de marco temporal más rápido. Estas suscripciones se crean automáticamente dentro de OnStarted.
El tamaño del pip se determina a partir de Security.PriceStep y se ajusta para cotizaciones fraccionarias (3 o 5 decimales) para coincidir con el tratamiento de MetaTrader de los valores de pip.
Debido a que el robot original usa umbrales de saldo de cuenta, la implementación de StockSharp lee Portfolio.CurrentValue en cada actualización de vela de entrada. Al ejecutar en simulación, asegúrese de que el modelo de portafolio actualice el capital actual para que el escalado de lotes permanezca consistente.
La traducción a Python se omite intencionalmente según lo solicitado.
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>
/// Invest System 4.5 strategy converted from MetaTrader.
/// Trades in the direction of the previous 4-hour candle within the first minutes of the new session.
/// </summary>
public class InvestSystem45Strategy : Strategy
{
private readonly StrategyParam<int> _stopLossPips;
private readonly StrategyParam<int> _takeProfitPips;
private readonly StrategyParam<int> _entryWindowMinutes;
private readonly StrategyParam<DataType> _signalCandleType;
private readonly StrategyParam<DataType> _trendCandleType;
private readonly StrategyParam<decimal> _baseLot;
private decimal _pipSize;
private decimal _minBalance;
private decimal _maxBalance;
private int _lotStage;
private bool _planBActive;
private decimal _stageLot1;
private decimal _stageLot2;
private decimal _stageLot3;
private decimal _stageLot4;
private decimal _lotOption1;
private decimal _lotOption2;
private decimal _currentVolume;
private bool _needsPostTradeAdjustment;
private bool _hasOpenPosition;
private decimal _pnlAtEntry;
private decimal _lastTradePnL;
private int _trendDirection;
private DateTime? _entryWindowStart;
private DateTime? _entryWindowEnd;
private bool _entryWindowActive;
private decimal _entryPrice;
private decimal _stopPrice;
private decimal _takePrice;
/// <summary>
/// Stop loss distance expressed in pips.
/// </summary>
public int StopLossPips
{
get => _stopLossPips.Value;
set => _stopLossPips.Value = value;
}
/// <summary>
/// Take profit distance expressed in pips.
/// </summary>
public int TakeProfitPips
{
get => _takeProfitPips.Value;
set => _takeProfitPips.Value = value;
}
/// <summary>
/// Minutes allowed for entries after a new trend candle opens.
/// </summary>
public int EntryWindowMinutes
{
get => _entryWindowMinutes.Value;
set => _entryWindowMinutes.Value = value;
}
/// <summary>
/// Candle type that drives entry timing.
/// </summary>
public DataType SignalCandleType
{
get => _signalCandleType.Value;
set => _signalCandleType.Value = value;
}
/// <summary>
/// Higher timeframe candle used to define trade direction.
/// </summary>
public DataType TrendCandleType
{
get => _trendCandleType.Value;
set => _trendCandleType.Value = value;
}
/// <summary>
/// Base lot size used to derive martingale steps.
/// </summary>
public decimal BaseLot
{
get => _baseLot.Value;
set => _baseLot.Value = value;
}
/// <summary>
/// Initialize <see cref="InvestSystem45Strategy"/>.
/// </summary>
public InvestSystem45Strategy()
{
_stopLossPips = Param(nameof(StopLossPips), 240)
.SetNotNegative()
.SetDisplay("Stop Loss (pips)", "Stop loss distance in pips", "Risk")
.SetOptimize(120, 360, 20);
_takeProfitPips = Param(nameof(TakeProfitPips), 40)
.SetNotNegative()
.SetDisplay("Take Profit (pips)", "Take profit distance in pips", "Risk")
.SetOptimize(20, 80, 10);
_entryWindowMinutes = Param(nameof(EntryWindowMinutes), 15)
.SetGreaterThanZero()
.SetDisplay("Entry Window", "Minutes after 4H open when entries are allowed", "Timing")
.SetOptimize(5, 30, 5);
_signalCandleType = Param(nameof(SignalCandleType), TimeSpan.FromMinutes(5).TimeFrame())
.SetDisplay("Signal Candles", "Candles used to time entries", "Timing");
_trendCandleType = Param(nameof(TrendCandleType), TimeSpan.FromHours(4).TimeFrame())
.SetDisplay("Trend Candles", "Higher timeframe candles for direction", "Timing");
_baseLot = Param(nameof(BaseLot), 0.1m)
.SetGreaterThanZero()
.SetDisplay("Base Lot", "Starting lot size before scaling", "Risk")
.SetOptimize(0.05m, 0.3m, 0.05m);
}
/// <inheritdoc />
public override IEnumerable<(Security sec, DataType dt)> GetWorkingSecurities()
{
if (Security is null)
yield break;
yield return (Security, SignalCandleType);
if (!SignalCandleType.Equals(TrendCandleType))
yield return (Security, TrendCandleType);
}
/// <inheritdoc />
protected override void OnReseted()
{
base.OnReseted();
ResetState();
}
/// <inheritdoc />
protected override void OnStarted2(DateTime time)
{
base.OnStarted2(time);
ResetState();
_pipSize = CalculatePipSize();
// Recreate lot options according to current stage and plan mode.
RecalculateLotOptions();
var trendSubscription = SubscribeCandles(TrendCandleType);
trendSubscription.Bind(ProcessTrendCandle).Start();
var entrySubscription = SubscribeCandles(SignalCandleType);
entrySubscription.Bind(ProcessEntryCandle).Start();
var area = CreateChartArea();
if (area != null)
{
DrawCandles(area, entrySubscription);
DrawOwnTrades(area);
}
}
/// <inheritdoc />
protected override void OnPositionReceived(Position position)
{
base.OnPositionReceived(position);
if (Position != 0m)
{
// Record entry state to compute realized PnL later.
if (!_hasOpenPosition)
{
_hasOpenPosition = true;
_needsPostTradeAdjustment = true;
_pnlAtEntry = PnL;
}
_entryWindowActive = false;
return;
}
if (!_hasOpenPosition)
return;
_hasOpenPosition = false;
_lastTradePnL = PnL - _pnlAtEntry;
// Mirror MetaTrader profit calculation for Plan B rules.
HandlePostTradeAdjustment();
}
private void ProcessTrendCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
// Store direction from the last completed 4H candle.
if (candle.ClosePrice > candle.OpenPrice)
{
_trendDirection = 1;
}
else if (candle.ClosePrice < candle.OpenPrice)
{
_trendDirection = -1;
}
_entryWindowStart = candle.CloseTime;
_entryWindowEnd = _entryWindowStart?.AddMinutes(EntryWindowMinutes);
// Open a new entry window immediately at the next candle open.
_entryWindowActive = true;
}
private void ProcessEntryCandle(ICandleMessage candle)
{
if (candle.State != CandleStates.Finished)
return;
// Check SL/TP for open positions.
if (Position > 0m && _entryPrice > 0m)
{
if (_stopPrice > 0m && candle.LowPrice <= _stopPrice)
{
SellMarket(Position);
ResetTargets();
return;
}
if (_takePrice > 0m && candle.HighPrice >= _takePrice)
{
SellMarket(Position);
ResetTargets();
return;
}
}
else if (Position < 0m && _entryPrice > 0m)
{
if (_stopPrice > 0m && candle.HighPrice >= _stopPrice)
{
BuyMarket(Math.Abs(Position));
ResetTargets();
return;
}
if (_takePrice > 0m && candle.LowPrice <= _takePrice)
{
BuyMarket(Math.Abs(Position));
ResetTargets();
return;
}
}
// Update balance-dependent scaling before evaluating signals.
UpdateBalanceState();
if (!_entryWindowActive || !_entryWindowStart.HasValue || !_entryWindowEnd.HasValue)
return;
var openTime = candle.OpenTime;
if (openTime < _entryWindowStart.Value)
return;
if (openTime > _entryWindowEnd.Value)
{
_entryWindowActive = false;
return;
}
if (_trendDirection == 0)
return;
if (Position != 0m)
return;
// Lazy initialize volume when strategy is ready.
if (_currentVolume <= 0m)
_currentVolume = _lotOption1;
if (_currentVolume <= 0m)
return;
if (_trendDirection > 0)
{
BuyMarket(_currentVolume);
}
else
{
SellMarket(_currentVolume);
}
// Allow only one trade per 4H candle similar to MetaTrader logic.
_entryWindowActive = false;
}
private void HandlePostTradeAdjustment()
{
if (!_needsPostTradeAdjustment)
return;
_needsPostTradeAdjustment = false;
// Apply lot escalation rules after each closed trade.
UpdateBalanceState();
if (_lastTradePnL < 0m)
{
if (_currentVolume == _lotOption2 && !_planBActive)
{
_planBActive = true;
RecalculateLotOptions();
}
else if (_currentVolume == _lotOption1)
{
_currentVolume = _lotOption2;
}
else
{
_currentVolume = _lotOption2;
}
}
else if (_lastTradePnL > 0m)
{
_currentVolume = _lotOption1;
}
}
private void UpdateBalanceState()
{
var balance = Portfolio?.CurrentValue;
if (balance is null || balance.Value <= 0m)
return;
if (_minBalance <= 0m)
{
_minBalance = balance.Value;
_maxBalance = balance.Value;
}
if (balance.Value > _maxBalance)
{
_maxBalance = balance.Value;
if (_planBActive)
{
_planBActive = false;
RecalculateLotOptions();
}
}
var newStage = 1;
if (_minBalance > 0m)
{
// Check for equity milestones to scale base lots.
for (var stage = 6; stage >= 2; stage--)
{
if (balance.Value > _minBalance * stage)
{
newStage = stage;
break;
}
}
}
if (newStage != _lotStage)
{
_lotStage = newStage;
RecalculateLotOptions();
}
}
private decimal CalculatePipSize()
{
var step = Security?.PriceStep ?? 1m;
var decimals = Security?.Decimals ?? 0;
if (decimals == 3 || decimals == 5)
step *= 10m;
return step;
}
/// <inheritdoc />
protected override void OnOwnTradeReceived(MyTrade trade)
{
base.OnOwnTradeReceived(trade);
if (trade?.Trade == null) return;
if (Position != 0m && _entryPrice == 0m)
{
_entryPrice = trade.Trade.Price;
var slDist = StopLossPips * _pipSize;
var tpDist = TakeProfitPips * _pipSize;
if (Position > 0m)
{
_stopPrice = slDist > 0m ? _entryPrice - slDist : 0m;
_takePrice = tpDist > 0m ? _entryPrice + tpDist : 0m;
}
else
{
_stopPrice = slDist > 0m ? _entryPrice + slDist : 0m;
_takePrice = tpDist > 0m ? _entryPrice - tpDist : 0m;
}
}
if (Position == 0m)
ResetTargets();
}
private void ResetTargets()
{
_entryPrice = 0m;
_stopPrice = 0m;
_takePrice = 0m;
}
private void ResetState()
{
_pipSize = 0m;
_minBalance = 0m;
_maxBalance = 0m;
_lotStage = 1;
_planBActive = false;
_stageLot1 = 0m;
_stageLot2 = 0m;
_stageLot3 = 0m;
_stageLot4 = 0m;
_lotOption1 = 0m;
_lotOption2 = 0m;
_currentVolume = 0m;
_needsPostTradeAdjustment = false;
_hasOpenPosition = false;
_pnlAtEntry = 0m;
_lastTradePnL = 0m;
_trendDirection = 0;
_entryWindowStart = null;
_entryWindowEnd = null;
_entryWindowActive = false;
_entryPrice = 0m;
_stopPrice = 0m;
_takePrice = 0m;
}
private void RecalculateLotOptions()
{
var baseLot = BaseLot * _lotStage;
_stageLot1 = baseLot;
_stageLot2 = baseLot * 2m;
_stageLot3 = baseLot * 7m;
_stageLot4 = baseLot * 14m;
// Stage-specific lot multipliers replicate the original configuration.
if (_planBActive)
{
_lotOption1 = _stageLot2;
_lotOption2 = _stageLot4;
}
else
{
_lotOption1 = _stageLot1;
_lotOption2 = _stageLot3;
}
if (_currentVolume <= 0m)
_currentVolume = _lotOption1;
}
}
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.Strategies import Strategy
class invest_system45_strategy(Strategy):
def __init__(self):
super(invest_system45_strategy, self).__init__()
self._stop_loss_pips = self.Param("StopLossPips", 240)
self._take_profit_pips = self.Param("TakeProfitPips", 40)
self._entry_window_minutes = self.Param("EntryWindowMinutes", 15)
self._signal_candle_type = self.Param("SignalCandleType", DataType.TimeFrame(TimeSpan.FromMinutes(5)))
self._trend_candle_type = self.Param("TrendCandleType", DataType.TimeFrame(TimeSpan.FromHours(4)))
self._base_lot = self.Param("BaseLot", 0.1)
self._pip_size = 0.0
self._min_balance = 0.0
self._max_balance = 0.0
self._lot_stage = 1
self._plan_b_active = False
self._stage_lot1 = 0.0
self._stage_lot2 = 0.0
self._stage_lot3 = 0.0
self._stage_lot4 = 0.0
self._lot_option1 = 0.0
self._lot_option2 = 0.0
self._current_volume = 0.0
self._needs_post_trade_adjustment = False
self._has_open_position = False
self._pnl_at_entry = 0.0
self._last_trade_pnl = 0.0
self._trend_direction = 0
self._entry_window_start = None
self._entry_window_end = None
self._entry_window_active = False
self._entry_price = 0.0
self._stop_price = 0.0
self._take_price = 0.0
@property
def StopLossPips(self):
return self._stop_loss_pips.Value
@property
def TakeProfitPips(self):
return self._take_profit_pips.Value
@property
def EntryWindowMinutes(self):
return self._entry_window_minutes.Value
@property
def SignalCandleType(self):
return self._signal_candle_type.Value
@property
def TrendCandleType(self):
return self._trend_candle_type.Value
@property
def BaseLot(self):
return self._base_lot.Value
def OnStarted2(self, time):
super(invest_system45_strategy, self).OnStarted2(time)
self._reset_state()
self._pip_size = self._calculate_pip_size()
self._recalculate_lot_options()
trend_sub = self.SubscribeCandles(self.TrendCandleType)
trend_sub.Bind(self._process_trend_candle).Start()
entry_sub = self.SubscribeCandles(self.SignalCandleType)
entry_sub.Bind(self._process_entry_candle).Start()
area = self.CreateChartArea()
if area is not None:
self.DrawCandles(area, entry_sub)
self.DrawOwnTrades(area)
def _process_trend_candle(self, candle):
if candle.State != CandleStates.Finished:
return
if float(candle.ClosePrice) > float(candle.OpenPrice):
self._trend_direction = 1
elif float(candle.ClosePrice) < float(candle.OpenPrice):
self._trend_direction = -1
self._entry_window_start = candle.CloseTime
self._entry_window_end = candle.CloseTime.AddMinutes(self.EntryWindowMinutes)
self._entry_window_active = True
def _process_entry_candle(self, candle):
if candle.State != CandleStates.Finished:
return
pos = float(self.Position)
# SL/TP management
if pos > 0 and self._entry_price > 0:
if self._stop_price > 0 and float(candle.LowPrice) <= self._stop_price:
self.SellMarket(pos)
self._on_position_closed()
return
if self._take_price > 0 and float(candle.HighPrice) >= self._take_price:
self.SellMarket(pos)
self._on_position_closed()
return
elif pos < 0 and self._entry_price > 0:
if self._stop_price > 0 and float(candle.HighPrice) >= self._stop_price:
self.BuyMarket(abs(pos))
self._on_position_closed()
return
if self._take_price > 0 and float(candle.LowPrice) <= self._take_price:
self.BuyMarket(abs(pos))
self._on_position_closed()
return
self._update_balance_state()
if not self._entry_window_active or self._entry_window_start is None or self._entry_window_end is None:
return
open_time = candle.OpenTime
if open_time < self._entry_window_start:
return
if open_time > self._entry_window_end:
self._entry_window_active = False
return
if self._trend_direction == 0:
return
if float(self.Position) != 0:
return
if self._current_volume <= 0:
self._current_volume = self._lot_option1
if self._current_volume <= 0:
return
close = float(candle.ClosePrice)
if self._trend_direction > 0:
self.BuyMarket(self._current_volume)
self._entry_price = close
sl_dist = self.StopLossPips * self._pip_size
tp_dist = self.TakeProfitPips * self._pip_size
self._stop_price = close - sl_dist if sl_dist > 0 else 0.0
self._take_price = close + tp_dist if tp_dist > 0 else 0.0
else:
self.SellMarket(self._current_volume)
self._entry_price = close
sl_dist = self.StopLossPips * self._pip_size
tp_dist = self.TakeProfitPips * self._pip_size
self._stop_price = close + sl_dist if sl_dist > 0 else 0.0
self._take_price = close - tp_dist if tp_dist > 0 else 0.0
self._has_open_position = True
self._needs_post_trade_adjustment = True
self._pnl_at_entry = float(self.PnL)
self._entry_window_active = False
def _update_balance_state(self):
portfolio = self.Portfolio
if portfolio is None:
return
balance = portfolio.CurrentValue
if balance is None or float(balance) <= 0:
return
bal = float(balance)
if self._min_balance <= 0:
self._min_balance = bal
self._max_balance = bal
if bal > self._max_balance:
self._max_balance = bal
if self._plan_b_active:
self._plan_b_active = False
self._recalculate_lot_options()
new_stage = 1
if self._min_balance > 0:
for stage in range(6, 1, -1):
if bal > self._min_balance * stage:
new_stage = stage
break
if new_stage != self._lot_stage:
self._lot_stage = new_stage
self._recalculate_lot_options()
def _calculate_pip_size(self):
sec = self.Security
if sec is None:
return 1.0
step = float(sec.PriceStep) if sec.PriceStep is not None else 1.0
decimals = int(sec.Decimals) if sec.Decimals is not None else 0
if decimals == 3 or decimals == 5:
step *= 10.0
return step
def _recalculate_lot_options(self):
base_lot = float(self.BaseLot) * self._lot_stage
self._stage_lot1 = base_lot
self._stage_lot2 = base_lot * 2.0
self._stage_lot3 = base_lot * 7.0
self._stage_lot4 = base_lot * 14.0
if self._plan_b_active:
self._lot_option1 = self._stage_lot2
self._lot_option2 = self._stage_lot4
else:
self._lot_option1 = self._stage_lot1
self._lot_option2 = self._stage_lot3
if self._current_volume <= 0:
self._current_volume = self._lot_option1
def _handle_post_trade_adjustment(self):
if not self._needs_post_trade_adjustment:
return
self._needs_post_trade_adjustment = False
self._update_balance_state()
if self._last_trade_pnl < 0:
if self._current_volume == self._lot_option2 and not self._plan_b_active:
self._plan_b_active = True
self._recalculate_lot_options()
else:
self._current_volume = self._lot_option2
elif self._last_trade_pnl > 0:
self._current_volume = self._lot_option1
def OnOwnTradeReceived(self, trade):
super(invest_system45_strategy, self).OnOwnTradeReceived(trade)
if trade is None or trade.Trade is None:
return
pos = float(self.Position)
if pos != 0 and self._entry_price == 0:
self._entry_price = float(trade.Trade.Price)
sl_dist = self.StopLossPips * self._pip_size
tp_dist = self.TakeProfitPips * self._pip_size
if pos > 0:
self._stop_price = self._entry_price - sl_dist if sl_dist > 0 else 0.0
self._take_price = self._entry_price + tp_dist if tp_dist > 0 else 0.0
else:
self._stop_price = self._entry_price + sl_dist if sl_dist > 0 else 0.0
self._take_price = self._entry_price - tp_dist if tp_dist > 0 else 0.0
if pos == 0:
self._reset_targets()
def OnPositionReceived(self, position):
super(invest_system45_strategy, self).OnPositionReceived(position)
pos = float(self.Position)
if pos != 0:
if not self._has_open_position:
self._has_open_position = True
self._needs_post_trade_adjustment = True
self._pnl_at_entry = float(self.PnL)
self._entry_window_active = False
return
if not self._has_open_position:
return
self._has_open_position = False
self._last_trade_pnl = float(self.PnL) - self._pnl_at_entry
self._handle_post_trade_adjustment()
def _on_position_closed(self):
self._reset_targets()
if self._has_open_position:
self._has_open_position = False
self._last_trade_pnl = float(self.PnL) - self._pnl_at_entry
self._handle_post_trade_adjustment()
def _reset_targets(self):
self._entry_price = 0.0
self._stop_price = 0.0
self._take_price = 0.0
def _reset_state(self):
self._pip_size = 0.0
self._min_balance = 0.0
self._max_balance = 0.0
self._lot_stage = 1
self._plan_b_active = False
self._stage_lot1 = 0.0
self._stage_lot2 = 0.0
self._stage_lot3 = 0.0
self._stage_lot4 = 0.0
self._lot_option1 = 0.0
self._lot_option2 = 0.0
self._current_volume = 0.0
self._needs_post_trade_adjustment = False
self._has_open_position = False
self._pnl_at_entry = 0.0
self._last_trade_pnl = 0.0
self._trend_direction = 0
self._entry_window_start = None
self._entry_window_end = None
self._entry_window_active = False
self._entry_price = 0.0
self._stop_price = 0.0
self._take_price = 0.0
def OnReseted(self):
super(invest_system45_strategy, self).OnReseted()
self._reset_state()
def CreateClone(self):
return invest_system45_strategy()