Invest System 4.5 策略 (C#)
概述
Invest System 4.5 原本是一个 MetaTrader 5 智能交易系统,此处将其迁移到 StockSharp 高层策略 API。策略在 EUR/USD 上运行,根据上一根已经收盘的 4 小时蜡烛的方向进行交易。每个新的 4 小时时段只允许开一笔单,仓位规模会根据实际盈亏以及账户权益的增长自动调整。
实现完全依赖高层 API:策略自动订阅 4 小时蜡烛用于判断趋势,同时订阅分钟级别蜡烛用于监控进场窗口;StartProtection 方法用来一次性设置以点数表示的止损和止盈。
交易流程
- 方向判断:每当 4 小时蜡烛收盘时记录其涨跌方向。收阳意味着下一根 4 小时期间只寻找多头入场,收阴则只考虑空头。如果开收价相同则沿用上一根蜡烛的方向。
- 进场窗口:新 4 小时蜡烛开启后,打开一个固定时长(默认 15 分钟)的进场窗口。在窗口有效期内,策略观察更低周期(默认 1 分钟)的收盘数据,只要条件满足就会在窗口内发送一张市价单,随后立即关闭窗口。
- 单次持仓:策略不加仓、不做网格,任何时候最多只持有一笔仓位。如果仍有持仓,将忽略新的信号直到下一根 4 小时蜡烛开始。
- 盈亏记录:当仓位完全平仓后,记录本次交易的实际盈亏,用于触发下面的分级加仓规则。
仓位管理
策略复刻了原 EA 的两层资金管理机制:
- 权益阶梯:首次运行时保存初始余额。当账户权益达到初始余额的 2 倍、3 倍直至 6 倍时,基础手数按比例提升。一级使用
BaseLot,二级翻倍,三级为三倍,以此类推。额外手数 (Lot2、Lot3、Lot4) 根据原始比例(×2、×7、×14)自动计算。 - Plan B 模式:在交易之间维护一个当前手数。
- 基础手数亏损后,将手数提高到
Lot3。 - 如果在
Lot3上继续亏损,则启动 Plan B:重新映射手数,使基础手数变为Lot2,激进手数变为Lot4。当前手数不会立即改变,但下次亏损会使用新的激进手数。达到新的权益高点时 Plan B 自动退出。 - 盈利交易会把手数恢复到当前阶梯的基础手数。 借助上述规则,可以在 StockSharp 中完整复现 MT5 中的阶梯式加仓行为。
- 基础手数亏损后,将手数提高到
风险控制
- 使用
StartProtection以点值设置固定止损与止盈。这两个保护订单在策略启动时一次性配置,效果等同于原 EA 在每笔订单上附加相同的价差。 - 仅使用市价单。策略不执行分批减仓或对冲,平仓动作由保护单自动完成。
参数
| 参数 | 说明 | 默认值 | 优化范围 |
|---|---|---|---|
StopLossPips |
止损点数,设为 0 可关闭止损。 |
240 | 120 – 360,步长 20 |
TakeProfitPips |
止盈点数,设为 0 可关闭止盈。 |
40 | 20 – 80,步长 10 |
EntryWindowMinutes |
新的 4 小时蜡烛开始后允许进场的分钟数。 | 15 | 5 – 30,步长 5 |
SignalCandleType |
监控进场窗口所用的低周期蜡烛类型(默认 1 分钟)。 | 1 分钟蜡烛 | – |
TrendCandleType |
判断方向所用的高周期蜡烛类型(默认 4 小时)。 | 4 小时蜡烛 | – |
BaseLot |
初始基础手数,其它手数会按照既定比例推导。 | 0.1 | 0.05 – 0.3,步长 0.05 |
目录结构
2772_Invest_System_45/
├── CS/
│ └── InvestSystem45Strategy.cs
├── README.md
├── README_ru.md
└── README_zh.md
使用说明
- 需要确保所选证券同时提供 4 小时和分钟级蜡烛数据,
OnStarted会自动创建对应订阅。 - 点值通过
Security.PriceStep计算,并在遇到三位或五位小数报价时乘以 10,以匹配 MetaTrader 的点数定义。 - 阶梯逻辑依赖
Portfolio.CurrentValue的实时更新。在仿真或回测时,请确认投资组合模型会及时刷新该数值,否则手数调整会失真。 - 根据需求,本版本仅提供 C# 实现,不包含 Python 代码。
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()