接受SL/TP订单

 

该分支将处理因触发未结头寸 的SL/TP水平而产生的订单。

我写了一个复杂但有用的功能,即获取作为指定SL/TP订单触发器的tick。

#define  SEARCH_TICK(A, B)                             \
{                                                     \
  if (!(Ticks[Pos].##A  B Price) && ((Pos <= 1) ||     \
      (!StopLevel && (Ticks[Pos - 1].##A == Price)))) \
    Tick = Ticks[Pos];                                \
  else                                                \
  {                                                   \
    while ((Pos >= 0) && !(Ticks[Pos].##A  B Price))   \
      Tick = Ticks[Pos--];                            \
                                                      \
    if (!Tick.time)                                   \
    {                                                 \
      while ((Pos >= 0) && (Ticks[Pos].##A  B Price))  \
        Pos--;                                        \
                                                      \
      while ((Pos >= 0) && !(Ticks[Pos].##A  B Price)) \
        Tick = Ticks[Pos--];                          \
    }                                                 \
  }                                                   \
}

// Получение тика, который акцептировал TP/SL-ордер.
bool GetAcceptedTick( const ulong Ticket, MqlTick &Tick, const bool PrintFlag = false )
{
  bool Res = false;

  if (!IsStopped() && HistoryOrderSelect2(Ticket))
  {
    const ENUM_ORDER_REASON Reason = (ENUM_ORDER_REASON)HistoryOrderGetInteger(Ticket, ORDER_REASON);

    if ((Reason == ORDER_REASON_TP) || (Reason == ORDER_REASON_SL))
    {
      const long CreateTime = HistoryOrderGetInteger(Ticket, ORDER_TIME_SETUP_MSC);
      const long DoneTime = HistoryOrderGetInteger(Ticket, ORDER_TIME_DONE_MSC);
      const string Symb = HistoryOrderGetString(Ticket, ORDER_SYMBOL);
      const ENUM_ORDER_STATE State = (ENUM_ORDER_STATE)HistoryOrderGetInteger(Ticket, ORDER_STATE);
      const ENUM_ORDER_TYPE Type = (ENUM_ORDER_TYPE)HistoryOrderGetInteger(Ticket, ORDER_TYPE);
      const double Price = HistoryOrderGetDouble(Ticket, ORDER_PRICE_OPEN);

      const ulong TicketOpen = HistoryOrderGetInteger(Ticket, ORDER_POSITION_ID);

      if (SymbolInfoInteger(Symb, SYMBOL_EXIST) && TicketOpen && HistoryOrderSelect2(TicketOpen))
      {
      #define  TOSTRING(A) ", " + #A + " = " + (string)(A)
        const int digits = (int)SymbolInfoInteger(Symb, SYMBOL_DIGITS);

        const int StopLevel = (int)SymbolInfoInteger(Symb, SYMBOL_TRADE_STOPS_LEVEL);
        long PositionCreated = HistoryOrderGetInteger(TicketOpen, ORDER_TIME_DONE_MSC);
        
        // Условие может сработать при частичном исполнении.
        if ((PositionCreated >= CreateTime) && HistorySelectByPosition(TicketOpen) && HistoryDealsTotal())
        {
          PositionCreated = HistoryDealGetInteger(HistoryDealGetTicket(0), DEAL_TIME_MSC);
          
          HistoryOrderSelect(TicketOpen); // Не HistoryOrderSelect2, т.к. нужно HistoryOrdersTotal() <= 1.
        }

      #define  HOUR (3600 * 1000)
        long From = MathMax(PositionCreated,    // Время открытия позиции
                            CreateTime - HOUR); // Час - просто с запасом.

        MqlTick Ticks[];

        ResetLastError();
        int Pos = CopyTicksRange(Symb, Ticks, COPY_TICKS_INFO, From, CreateTime) - 1;

        if ((Pos < 0) && !_LastError && (From == PositionCreated))
          Pos = CopyTicksRange(Symb, Ticks, COPY_TICKS_INFO, From -= HOUR, CreateTime) - 1;

        if (Pos >= 0)
        {
          const MqlTick LastTick = Ticks[Pos];

          Tick.time = 0;

          if (Type == ORDER_TYPE_BUY)
          {
            if (Reason == ORDER_REASON_TP)
              SEARCH_TICK(ask, >)
            else
              SEARCH_TICK(ask, <)
          }
          else if (Reason == ORDER_REASON_TP)
            SEARCH_TICK(bid, <)
          else
            SEARCH_TICK(bid, >)

          if (!(Res = /*(Pos >= 0) && */ Tick.time))
            Alert(__FUNCSIG__ + ": Error!"); // Ошибка при расчетах
          else if (PrintFlag) // Выводим найденный тик.
          {
            Print("Last Tick " + TickToString(LastTick, digits));

            Print("Accepted Tick " + TickToString(Tick, digits));
            Print("Accepted Length = " + (string)(CreateTime - Tick.time_msc) + " ms.");
          }
        }
        else // В случае ошибки CopyTicks - сообщаем.
          Alert(__FUNCSIG__ + ": CopyTicksRange(" + Symb + ", " + TimeToString(From) + ", " +
                                                TimeToString(CreateTime) + ") = " + (string)(Pos + 1) + TOSTRING(_LastError));

        if (PrintFlag || !Res) // Распечатываем данные ордера.
          Print("Order " + (string)Ticket + " " + EnumToString(Type) + " " + Symb + " " + TimeToString(CreateTime) + " " +
                           DoubleToString(Price, digits) + " " + EnumToString(Reason) + " " + EnumToString(State) + " " +
                           TimeToString(DoneTime) + ", Position " + (string)TicketOpen + " created " +
                           TimeToString(PositionCreated) + TOSTRING(StopLevel) + "\n");
      }
    }
  }

  return(Res);
}

// Преобразование времени в миллисекундах в строку.
string TimeToString( const long time, const int FlagTime = TIME_DATE | TIME_SECONDS)
{
  return(TimeToString((datetime)time / 1000, FlagTime) + "." + IntegerToString(time % 1000, 3, '0'));
}

// Преобразование тика в строку.
string TickToString( const MqlTick &Tick, const int digits )
{
  return(TimeToString(Tick.time_msc) + " " + DoubleToString(Tick.bid, digits) + " " + DoubleToString(Tick.ask, digits));
}

// Правильный выбор исторического ордера.
bool HistoryOrderSelect2( const ulong Ticket)
{
  return(((HistoryOrderGetInteger(Ticket, ORDER_TICKET) == Ticket) || HistoryOrderSelect(Ticket)));
}


这一伟大功能的应用是创建这一分支的原因。我确信我没有抓住代码中的所有错误,但为了历史和理解它真的很困难, 我已经给出了完整的清单。

 

在调查TP订单执行时,我注意到一些TP订单的创建与接受它们的点位有很大的滞后。

汇报显示,这种情况不仅在不同的经纪商上重复出现,而且在与交易服务器在同一台机器上的终端上进行交易时也是如此。也就是说,有一个非常低的ping,并且是交易服务器的唯一交易账户。



编写GetAcceptedTick 函数使我们能够彻底调查这个问题并建设性地展示这个问题。


脚本。

因此,下面的脚本位于预告片中。

// Скрипт выводит самое длительное или конкретное акцептирование SL/TP-ордера.
#property script_show_inputs

input datetime inFrom = D'2020.01.01'; // С какого времени проверять ордера
input ulong inTicket = 0;              // Отдельно проверяемый тикет

// Возвращает самый медленный TP/SL-ордер с определенной даты.
ulong GetSlowestOrder( const datetime From );

// Распечатывает подробности акцепта SL/TP-ордера.
void PrintOrder( const ulong MaxTicket );

void OnStart()
{
  Print("\n\nStart " + MQLInfoString(MQL_PROGRAM_NAME) + TOSTRING(inFrom) + TOSTRING(inTicket) + "\n");
  
  PrintOrder(inTicket ? inTicket : GetSlowestOrder(inFrom));
}


在MQ-Demo上运行的结果。

Total Orders (from 2020.09.01 00:00:00) = 58493, calculated = 439
Calculation time = 00:00:11.328, Performance = 38.0 orders/sec.

ServerName: MetaQuotes-Demo

Last Tick 2020.09.30 19:07:32.917 1.80181 1.80205
Accepted Tick 2020.09.30 19:07:32.716 1.80178 1.80202
Accepted Length = 357 ms.
Order 726444166 ORDER_TYPE_BUY GBPAUD 2020.09.30 19:07:33.073 1.80206 ORDER_REASON_TP ORDER_STATE_FILLED 2020.09.30 19:07:33.082, Position created 2020.09.30 17:21:17.933, StopLevel = 0

Orders (2) before 726444166 with PositionID = 725926764:
------------------------
Checked Orders = 0
------------------------


该脚本声称找到了一个TP订单和一个触发其产生的tick(文本中用颜色突出显示)。看起来,如果价格已经达到交易服务器上未平仓头寸的TP水平(特别是在模拟交易中),相应的TP订单应该立即创建(不一定执行)。然而,在这种情况下,它不是立即发生的,而是在357毫秒后发生的。


让我先说一下,即使是一毫秒的延迟也不算太少。在时间上是一个有意义的动词,在algotrading。


验证。

我们不要盲目地相信脚本,要手动检查这种情况。因此,这里是我们的订单。


脚本所发现的相应的接受勾可以在这里看到。


箭头显示的是TP订单诞生的点位之间。截图清楚地表明,脚本是正确的,TP订单的创建在交易服务器方面发生了巨大的滞后。


底线。

现在有一个工具,在通过TP/SL水平交易时,显示贸易服务器方面的滞后值。目前,它们是巨大的。而这无疑是该平台的一个严重缺点,需要加以纠正。

不幸的是,不可能登记接受待定订单,因为终端方面没有这一信息。但几乎无一例外的是,在执行订单时,TP/SL订单方存在明显的滞后,不能不影响滞后。因为原因似乎是同一性质的。


总而言之,MT5平台目前在这些情况下具体落后于100%。并要求进行修复,直到出现零滞后。


我鼓励你们分享你们账户的结果。为改善MT5作出贡献!

附加的文件:
 
fxsaber:

鼓励你分享你的账户的结果。帮助改进MT5!

Total Orders (from 2020.11.01 00:00:00) = 21725, calculated = 10465
Calculation time = 00:04:33.609, Performance = 38.0 orders/sec.

ServerName: RannForex-Server

Last Tick 2020.11.16 00:34:35.201 104.630 104.640
Accepted Tick 2020.11.16 00:34:06.309 104.627 104.639
Accepted Length = 28894 ms.
Order 1715452 ORDER_TYPE_SELL USDJPY 2020.11.16 00:34:35.203 104.627 ORDER_REASON_TP ORDER_STATE_REJECTED 2020.11.16 00:34:35.217, Position created 2020.11.16 00:33:51.196, StopLevel = 0

Orders (4) before 1715452 with PositionID = 1715287:
-----------------------
Last Tick 2020.11.16 00:34:06.309 104.627 104.639
Accepted Tick 2020.11.16 00:34:06.309 104.627 104.639
Accepted Length = 3 ms.
Order 1715425 ORDER_TYPE_SELL USDJPY 2020.11.16 00:34:06.312 104.625 ORDER_REASON_TP ORDER_STATE_REJECTED 2020.11.16 00:34:06.327, Position created 2020.11.16 00:33:51.196, StopLevel = 0

Checked Orders = 1
------------------------

28秒的滞后!在这些情况下,可能最好已经联系了经纪人。

 
2020.11.25 02:42:17.718 CheckOrders (EURUSD,H1) ServerName: ICMarkets-MT5
2020.11.25 02:42:17.718 CheckOrders (EURUSD,H1) 
2020.11.25 02:42:17.718 CheckOrders (EURUSD,H1) Last Tick 2020.11.24 23:00:49.327 1.33569 1.33570
2020.11.25 02:42:17.718 CheckOrders (EURUSD,H1) Accepted Tick 2020.11.24 23:00:49.327 1.33569 1.33570
2020.11.25 02:42:17.718 CheckOrders (EURUSD,H1) Accepted Length = 7 ms.
2020.11.25 02:42:17.718 CheckOrders (EURUSD,H1) Order 106887648 ORDER_TYPE_BUY GBPUSD 2020.11.24 23:00:49.334 1.33572 ORDER_REASON_TP ORDER_STATE_FILLED 2020.11.24 23:00:49.830, Position created 2020.11.24 22:57:47.071, StopLevel = 0
2020.11.25 02:42:17.718 CheckOrders (EURUSD,H1) 
2020.11.25 02:42:17.719 CheckOrders (EURUSD,H1) Orders (2) before 106887648 with PositionID = 106886713:
2020.11.25 02:42:17.719 CheckOrders (EURUSD,H1) ------------------------
2020.11.25 02:42:17.719 CheckOrders (EURUSD,H1) Checked Orders = 0
2020.11.25 02:42:17.719 CheckOrders (EURUSD,H1) ------------------------
2020.11.25 02:47:22.624 CheckOrders (EURUSD,H1) ServerName: ICMarkets-MT5
2020.11.25 02:47:22.624 CheckOrders (EURUSD,H1) 
2020.11.25 02:47:22.633 CheckOrders (EURUSD,H1) Last Tick 2020.11.18 12:44:37.354 1.18748 1.18748
2020.11.25 02:47:22.633 CheckOrders (EURUSD,H1) Accepted Tick 2020.11.18 12:44:37.354 1.18748 1.18748
2020.11.25 02:47:22.633 CheckOrders (EURUSD,H1) Accepted Length = 17 ms.
2020.11.25 02:47:22.633 CheckOrders (EURUSD,H1) Order 105637485 ORDER_TYPE_SELL EURUSD 2020.11.18 12:44:37.371 1.18749 ORDER_REASON_SL ORDER_STATE_FILLED 2020.11.18 12:44:37.476, Position created 2020.11.17 22:24:15.116, StopLevel = 0
2020.11.25 02:47:22.633 CheckOrders (EURUSD,H1) 
2020.11.25 02:47:22.634 CheckOrders (EURUSD,H1) Orders (2) before 105637485 with PositionID = 105516718:
2020.11.25 02:47:22.634 CheckOrders (EURUSD,H1) ------------------------
2020.11.25 02:47:22.634 CheckOrders (EURUSD,H1) Checked Orders = 0
2020.11.25 02:47:22.634 CheckOrders (EURUSD,H1) ------------------------
 
2020.11.25 02:50:58.687 CheckOrders (EURUSD,H1) ServerName: OctaFX-Real
2020.11.25 02:50:58.687 CheckOrders (EURUSD,H1) 
2020.11.25 02:50:58.687 CheckOrders (EURUSD,H1) Last Tick 2020.11.23 18:14:35.081 1.18108 1.18115
2020.11.25 02:50:58.687 CheckOrders (EURUSD,H1) Accepted Tick 2020.11.23 18:14:35.081 1.18108 1.18115
2020.11.25 02:50:58.687 CheckOrders (EURUSD,H1) Accepted Length = 11 ms.
2020.11.25 02:50:58.687 CheckOrders (EURUSD,H1) Order 8950107 ORDER_TYPE_SELL EURUSD 2020.11.23 18:14:35.092 1.18105 ORDER_REASON_TP ORDER_STATE_FILLED 2020.11.23 18:14:35.104, Position created 2020.11.23 18:11:38.678, StopLevel = 20
2020.11.25 02:50:58.687 CheckOrders (EURUSD,H1) 
2020.11.25 02:50:58.688 CheckOrders (EURUSD,H1) Orders (2) before 8950107 with PositionID = 8950014:
2020.11.25 02:50:58.688 CheckOrders (EURUSD,H1) ------------------------
2020.11.25 02:50:58.688 CheckOrders (EURUSD,H1) Checked Orders = 0
2020.11.25 02:50:58.688 CheckOrders (EURUSD,H1) ------------------------
 
2020.11.25 02:54:37.912 CheckOrders (EURUSD,H1) ServerName: Pepperstone-MT5-Live01
2020.11.25 02:54:37.912 CheckOrders (EURUSD,H1) 
2020.11.25 02:54:37.934 CheckOrders (EURUSD,H1) Last Tick 2020.09.03 01:00:02.426 106.199 106.199
2020.11.25 02:54:37.934 CheckOrders (EURUSD,H1) Accepted Tick 2020.09.03 01:00:02.426 106.199 106.199
2020.11.25 02:54:37.934 CheckOrders (EURUSD,H1) Accepted Length = 4 ms.
2020.11.25 02:54:37.934 CheckOrders (EURUSD,H1) Order 18982771 ORDER_TYPE_SELL USDJPY 2020.09.03 01:00:02.430 106.191 ORDER_REASON_TP ORDER_STATE_FILLED 2020.09.03 01:00:02.466, Position created 2020.09.02 22:57:47.081, StopLevel = 0
2020.11.25 02:54:37.934 CheckOrders (EURUSD,H1) 
2020.11.25 02:54:37.935 CheckOrders (EURUSD,H1) Orders (2) before 18982771 with PositionID = 18975080:
2020.11.25 02:54:37.935 CheckOrders (EURUSD,H1) ------------------------
2020.11.25 02:54:37.935 CheckOrders (EURUSD,H1) Checked Orders = 0
2020.11.25 02:54:37.935 CheckOrders (EURUSD,H1) ------------------------
 

Fxsaber的另一个大脑爆炸。我甚至不知道该说什么。

我认为唯一可行的解决方案是与经纪人一起找到瓶颈,如果可能的话,尝试修复它。

如果要进行内部修复,你就必须

- 经受住开发商的一连串批评,并证明滞后已经发生(考虑到你可能不知道的事情,例如,经纪人的服务器硬件)

- 说服你,这是很关键的

- 等待修复

- 热心地推动经纪人升级到最新的版本,这可能比前面所有的项目都要难得多。

 
而老生常谈的MT并不适合HFTs )
 
ServerName: RannForex-Server
Accepted Length = 28894 ms.

这里有一个强烈的怀疑,那就是你所交易的经纪人的技术非常酷。

在自定义极限处理插件中,有一些东西正在减慢速度。

 
Andrey Khatimlianskii:

这就是对你所交易的经纪人的非常酷的技术的强烈怀疑。

...经纪人的服务器可以是你想要的任何东西,也可能是交流区中关于滞后的主题链接,我们只能猜测。

 
Andrei Trukhanovich:

对于内部修复,你将不得不

- 你将不得不承受来自开发商的一连串批评,并证明滞后的发生(考虑到你可能不知道的细微差别,例如,经纪人的服务器部分的硬件)。

关于交易、自动交易系统和测试交易策略的论坛

接受SL/TP订单

fxsaber, 2020.11.25 00:47

MQ-Demo 上运行的结果。

Total Orders (from 2020.09.01 00:00:00) = 58493, calculated = 439
Calculation time = 00:00:11.328, Performance = 38.0 orders/sec.

ServerName: MetaQuotes-Demo


在另一个主题中已经反复说过,即使是终端机也在因大量的因素而放慢速度。因此,更为复杂的交易服务器必然会更加缓慢。我仍然希望算法优化仍然是可能的。即使是5毫秒的滞后,也已经非常糟糕了。更不用说数百毫秒了。

原因: