Librerie: Calendario - pagina 5

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BillionerClub #:

Non capita spesso, ma quando si uniscono gli array, l'array finale presenta errori sotto forma di mancanza di ordinamento, perché gli elementi più recenti dell'array dovrebbero avere un periodo di tempo più lungo.

Non ho mai notato una cosa del genere. Provate a creare uno script per riprodurlo.

 

Forum sul trading, sui sistemi di trading automatizzati e sulla verifica delle strategie di trading

Biblioteche: Calendario

BillionerClub, 2022.11.04 07:43 pm.

   int totall = Calendar+=Calendar3;

for(int i=0;i<totall;i++)
  {
   Print(TimeToString(Calendar[i].time));
  }
Aggiungere prima della fusione. 
Calendar.Save("Calendar.bin");
Calendar3.Save("Calendar3.bin");

E allega i file bin generati. Così sarò in grado di replicarlo.

 
fxsaber #:
Aggiungere prima dell'unione.

E allegare i file bin generati. Poi posso rifarlo.

Link al file allegato

 

Non sarà possibile riprodurre senza aggiungere la classe EVENTO.

  ENUM_CALENDAR_EVENT_SECTOR Sector;
  ENUM_CALENDAR_EVENT_TYPE EventType;
  ENUM_CALENDAR_EVENT_SECTOR Sector;
  ENUM_CALENDAR_EVENT_UNIT Unit;
  ENUM_CALENDAR_EVENT_MULTIPLIER Multiplier;
  ENUM_CALENDAR_EVENT_TIMEMODE TimeMode;
  ENUM_CALENDAR_EVENT_TYPE EventType;
  STRING4 CurrencySymbol;

  EVENT( void ) : time(0), Importance(CALENDAR_IMPORTANCE_NONE), id(0), EventID(0),
                  Actual(LONG_MIN), Previous(LONG_MIN), Revised(LONG_MIN), Forecast(LONG_MIN),
                  Unit(CALENDAR_UNIT_NONE), Multiplier(CALENDAR_MULTIPLIER_NONE), TimeMode(CALENDAR_TIMEMODE_DATETIME ),Sector(CALENDAR_SECTOR_NONE),EventType(CALENDAR_TYPE_HOLIDAY)
  {
Calendar.Set(NULL,CALENDAR_IMPORTANCE_MODERATE,currentday,MaxTime);
Calendar3.SetHolydays(NULL,CALENDAR_TYPE_HOLIDAY,currentday,MaxTime);
  int SetHolydays( const string sCurrency = NULL, const ENUM_CALENDAR_EVENT_TYPE EventType = CALENDAR_TYPE_HOLIDAY,
           const datetime From = -1, const datetime To = -WEEK )
  {
    int Amount = 0;

    MqlCalendarValue Values[];

    if (::CalendarValueHistory(Values, (From >= 0) ? From : ::TimeTradeServer(), (To < 0) ? ::TimeTradeServer() - To : To, NULL, sCurrency))
    {
      const int Size = ::ArrayResize(this.Events, ::ArraySize(Values));

      for (int i = 0; i < Size; i++)
      {
        if (this.Events[Amount].Set(Values[i]) && (this.Events[Amount].EventType == EventType))
        {
          Amount++;
        }
      }
    }

    return(::ArrayResize(this.Events, Amount));
  }
  
 
BillionerClub #:

Collegamento al file allegato 

#include <fxsaber\Calendar\Calendar.mqh>

void OnStart()
{
  CALENDAR Calendar;
  
  Calendar.Load("Calendar.bin");

  Print(Calendar.ToString());
}


2022.11.04 17:00 USD 2 Baker Hughes US Oil Rig Count(baker-hughes-us-oil-rig-count), United States(US) |  |  | 610 | 
2022.11.04 17:00 USD 2 Baker Hughes US Total Rig Count(baker-hughes-us-total-rig-count), United States(US) |  |  | 768 | 
2022.11.08 AllDay EUR 2 Economic and Financial Affairs Council Meeting(economic-financial-affairs-council-meeting), European Union(EU) |  |  |  | 
2022.11.07 ≈02:00 CNY 2 Trade Balance USD(trade-balance-usd), China(CN) |  | $83.12 B | $84.74 B | 
2022.11.07 ≈02:00 CNY 2 Trade Balance(trade-balance), China(CN) |  | ¥565.34 B | ¥573.57 B |

Il motivo è questo. L'ordinamento per unione funziona solo se entrambi i calendari sono ordinati. In questo caso il calendario originale non è ordinato per tempo.

 
fxsaber #:

il calendario originale non è ordinato per tempo.

Il motivo è questo.

#include <fxsaber\Calendar\Calendar.mqh>

void OnStart()
{
  CALENDAR Calendar;
  
  const int Size = Calendar.Set(NULL, CALENDAR_IMPORTANCE_NONE, 0, INT_MAX); // Ha preso l'intero calendario.

  for (int i = 1; i < Size; i++)
    if (Calendar[i].time < Calendar[i - 1].time)
    {
      Print("----------");
      Print(Calendar[i - 1].ToString());
      Print(Calendar[i].ToString());
    }  
}


...............

2022.11.01 AllDay EUR 0 День всех святых(all-saints-day), Италия(IT) |  |  |  | 
2022.10.31 04:00 SGD 1 Объём банковского кредитования(bank-loans), Сингапур(SG) | R$838.81 B | R$846.787 B | R$842.813 B | 
----------
2022.11.02 AllDay BRL 0 День поминовения усопших(all-souls-day), Бразилия(BR) |  |  |  | 
2022.11.01 05:30 AUD 2 Заявление Резервного Банка Австралии по процентной ставке(rba-rate-statement), Австралия(AU) |  |  |  | 
----------
2022.11.03 AllDay JPY 0 День культуры(culture-day), Япония(JP) |  |  |  | 
2022.11.02 09:00 EUR 1 Объем экспорта м/м(exports-mm), Германия(DE) | -0.5% | -0.7% | 1.6% | 2.9%
----------
2022.11.07 AllDay EUR 2 Заседание Еврогруппы(eurogroup-meeting), Европейский Союз(EU) |  |  |  | 
2022.11.04 07:00 SGD 2 Розничные продажи м/м(retail-sales-mm), Сингапур(SG) | 3.3% | 0.3% | -1.3% | -1.2%
----------
2022.11.08 AllDay EUR 2 Заседание совета по экономическим и финансовым вопросам(economic-financial-affairs-council-meeting), Европейский Союз(EU) |  |  |  | 
2022.11.07 ≈04:00 CNY 2 Торговый баланс USD(trade-balance-usd), Китай(CN) |  | $83.12 B | $84.74 B | 
----------
2022.11.11 AllDay EUR 2 Заседание совета по экономическим и финансовым вопросам(economic-financial-affairs-council-meeting), Европейский Союз(EU) |  |  |  | 
2022.11.10 09:00 NOK 2 Индекс потребительских цен м/м(cpi-mm), Норвегия(NO) |  | 0.5% | 1.4% | 

............
ZY Segnalazione di bug. @BillionerClub, grazie per la segnalazione!
 
fxsaber #:

il calendario originale non è ordinato per tempo.

Opzione per risolvere il problema.

  int Set( const string sCurrency = NULL, const ENUM_CALENDAR_EVENT_IMPORTANCE MinImportance = CALENDAR_IMPORTANCE_HIGH,
           const datetime From = -1, const datetime To = -WEEK )
  {
    int Amount = 0;

    MqlCalendarValue Values[];
    
    if (::CalendarValueHistory(Values, (From >= 0) ? From : ::TimeTradeServer(), (To < 0) ? ::TimeTradeServer() - To : To, NULL, sCurrency))
    {      
      // https://www.mql5.com/ru/forum/434546/page11#comment_43037160
      if (::TerminalInfoInteger(TERMINAL_BUILD) < 3481)) // Indicare la build in cui si risolve il problema.
        ArraySortStruct2(Values, time); // https://www.mql5.com/ru/forum/170952/page222#comment_40289584
      
      const int Size = ::ArrayResize(this.Events, ::ArraySize(Values));

      for (int i = 0; i < Size; i++)
        if (this.Events[Amount].Set(Values[i]) && (this.Events[Amount].Importance >= MinImportance))
          Amount++;
    }

    return(::ArrayResize(this.Events, Amount));
  }


Scrivere in global scoping.

ArraySortStruct2_Define(time) // https://www.mql5.com/ru/forum/170952/page222#comment_40289584
 
fxsaber #:


Il motivo è questo. L'ordinamento per unione funziona solo se entrambi i calendari sono ordinati. In questo caso, il calendario di origine non è ordinato per orario.

Grazie. Senza di te non l'avrei mai capito )) tutto sembra troppo corretto e ha superato tutti i controlli.

 

Vi prego di aiutarmi a capire se i calendari sono corretti o meno.

Ho preso le buste paga note e ho confrontato diversi calendari. Sembra che corrispondano al momento del rilascio delle notizie.

// Emette i dati dei Nonfarm Payrolls.

#include <fxsaber\Calendar\Calendar.mqh> // https://www.mql5.com/it/code/32430

void OnStart()
{
  CALENDAR Calendar;
  
  Calendar.Set(840030016); // Buste paga non agricole (nonfarm-payrolls), Stati Uniti (US)
  Calendar.FilterByTime(D'2019.01.01', D'2023.01.01');
  
  for (int i = Calendar.GetAmount() - 1; i >= 0; i--)
    Print(Calendar[i].ToString());
}


2022.12.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 263 K | -30 K | 261 K | 284 K
2022.11.04 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 261 K | -97 K | 263 K | 315 K
2022.10.07 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 263 K | 33 K | 315 K | 
2022.09.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 315 K | 156 K | 528 K | 526 K
2022.08.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 528 K | -19 K | 372 K | 398 K
2022.07.08 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 372 K | -229 K | 390 K | 384 K
2022.06.03 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 390 K | -19 K | 428 K | 436 K
2022.05.06 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 428 K | 317 K | 431 K | 428 K
2022.04.01 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 431 K | 80 K | 678 K | 750 K
2022.03.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 678 K | -413 K | 467 K | 481 K
2022.02.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 467 K | -192 K | 199 K | 510 K
2022.01.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 199 K | 379 K | 210 K | 249 K
2021.12.03 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 210 K | 330 K | 531 K | 546 K
2021.11.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 531 K | -54 K | 194 K | 312 K
2021.10.08 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 194 K | -302 K | 235 K | 366 K
2021.09.03 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 235 K | 23 K | 943 K | 1053 K
2021.08.06 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 943 K | 381 K | 850 K | 938 K
2021.07.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 850 K | 3 K | 559 K | 583 K
2021.06.04 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 559 K | -396 K | 266 K | 278 K
2021.05.07 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 266 K | -1 K | 916 K | 770 K
2021.04.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 916 K | 409 K | 379 K | 468 K
2021.03.05 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 379 K | -137 K | 49 K | 166 K
2021.02.05 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 49 K | -497 K | -140 K | -227 K
2021.01.08 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | -140 K | 207 K | 245 K | 336 K
2020.12.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 245 K | 528 K | 638 K | 610 K
2020.11.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 638 K | -76324 K | 661 K | 672 K
2020.10.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 661 K | 78356 K | 1371 K | 1489 K
2020.09.04 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 1371 K | -74433 K | 1763 K | 1734 K
2020.08.07 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 1763 K | 4511 K | 4800 K | 4791 K
2020.07.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 4800 K | -12034 K | 2509 K | 2699 K
2020.06.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 2509 K | -10000 K | -20500 K | -20687 K
2020.05.08 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | -20500 K | 139 K | -701 K | -870 K
2020.04.03 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | -701 K | 163 K | 273 K | 275 K
2020.03.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 273 K | 161 K | 225 K | 273 K
2020.02.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 225 K | 161 K | 145 K | 147 K
2020.01.10 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 145 K | 168 K | 266 K | 256 K
2019.12.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 266 K | 168 K | 128 K | 156 K
2019.11.01 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 128 K | 172 K | 136 K | 180 K
2019.10.04 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 136 K | 174 K | 130 K | 168 K
2019.09.06 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 130 K | 177 K | 164 K | 159 K
2019.08.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 164 K | 178 K | 224 K | 193 K
2019.07.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 224 K | 176 K | 75 K | 72 K
2019.06.07 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 75 K | 170 K | 263 K | 224 K
2019.05.03 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 263 K | 167 K | 196 K | 189 K
2019.04.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 196 K | 176 K | 20 K | 33 K
2019.03.08 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 20 K | 173 K | 304 K | 311 K
2019.02.01 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 304 K | 168 K | 312 K | 222 K
2019.01.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 312 K | 170 K | 155 K | 176 K

I dati del calendario tabellare non corrispondono ai dati dei prezzi. Lo script mostra i dati nel fuso orario del broker, in modo da poterli confrontare su qualsiasi server di trading.

Sembra che i calendari forexfactori e investing mostrino gli stessi dati di MQL5.

Chi altro ha dati sui prezzi che non coincidono con le date del calendario?


ZЫ Se i calendari mentono, allora come fanno i Market Advisor a bypassare le notizie nei backtest?

Изменение числа занятых в несельскохозяйственном секторе - экономический индикатор США
Изменение числа занятых в несельскохозяйственном секторе - экономический индикатор США
  • www.mql5.com
Изменение числа занятых в несельскохозяйственном секторе (Nonfarm Payrolls) — показатель, отражающий количество новых рабочих мест, созданных в отчетном месяце, во всех отраслях экономики США, кроме
 
fxsaber #:

ZЫ Se i calendari mentono, come fanno i Market Advisor ad aggirare le notizie nei backtest?

Sembra che mentano davvero. Automazione per trovare le discrepanze.

// Confronta le date dei Nonfarm Payrolls nel calendario e nella cronologia dei prezzi. Eseguito su coppie USD.

#include <fxsaber\Calendar\Calendar.mqh> // https://www.mql5.com/it/code/32430

// Dimensione della barra del tempo.
double GetBarSize( const datetime Time )
{
  MqlRates Rates[];
  
  return(CopyRates(_Symbol, PERIOD_M1, iBarShift(_Symbol, PERIOD_M1, Time), 1, Rates) != 1 ? 0 : Rates[0].high - Rates[0].low);
}

// Tempo della barra più grande per dimensione (in base al tempo dell'array).
datetime GetMaxBarSizeTime( const datetime &Times[] )
{
  double Values[];
  
  for (int i = ArrayResize(Values, ArraySize(Times)) - 1; i >= 0; i--)
    Values[i] = GetBarSize(Times[i]);
  
  return(Times[ArrayMaximum(Values)]);
}

// Momento più probabile di notizie sui dati di prezzo (forte reazione).
datetime ChartNewsTime( const datetime &Time )
{
  datetime Times[3];
      
  Times[0] = Time;
  Times[1] = Times[0] - 3600;
  Times[2] = Times[0] + 3600;
  
  return(GetMaxBarSizeTime(Times));
}

void OnStart()
{
  CALENDAR Calendar;
  
  Calendar.Set(840030016); // Buste paga non agricole (nonfarm-payrolls), Stati Uniti (US)
  Calendar.FilterByTime(D'2019.01.01', D'2023.01.01');
  
  for (int i = Calendar.GetAmount() - 1; i >= 0; i--)
  {
    const EVENT Event = Calendar[i];    
    const datetime ChartNews = ChartNewsTime(Event.time);
    
    if (Event.time != ChartNews)    
      Print(TimeToString(ChartNews) + " != " + Event.ToString());
  }
}


Le discrepanze in ogni riga qui sotto.

2022.10.07 15:30 != 2022.10.07 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 263 K | 33 K | 315 K | 
2022.09.02 15:30 != 2022.09.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 315 K | 156 K | 528 K | 526 K
2022.08.05 15:30 != 2022.08.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 528 K | -19 K | 372 K | 398 K
2022.07.08 15:30 != 2022.07.08 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 372 K | -229 K | 390 K | 384 K
2022.06.03 15:30 != 2022.06.03 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 390 K | -19 K | 428 K | 436 K
2022.05.06 15:30 != 2022.05.06 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 428 K | 317 K | 431 K | 428 K
2022.04.01 15:30 != 2022.04.01 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 431 K | 80 K | 678 K | 750 K
2021.10.08 15:30 != 2021.10.08 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 194 K | -302 K | 235 K | 366 K
2021.09.03 15:30 != 2021.09.03 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 235 K | 23 K | 943 K | 1053 K
2021.08.06 15:30 != 2021.08.06 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 943 K | 381 K | 850 K | 938 K
2021.07.02 15:30 != 2021.07.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 850 K | 3 K | 559 K | 583 K
2021.06.04 15:30 != 2021.06.04 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 559 K | -396 K | 266 K | 278 K
2021.05.07 15:30 != 2021.05.07 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 266 K | -1 K | 916 K | 770 K
2021.04.02 15:30 != 2021.04.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 916 K | 409 K | 379 K | 468 K
2020.10.02 15:30 != 2020.10.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 661 K | 78356 K | 1371 K | 1489 K
2020.09.04 15:30 != 2020.09.04 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 1371 K | -74433 K | 1763 K | 1734 K
2020.08.07 15:30 != 2020.08.07 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 1763 K | 4511 K | 4800 K | 4791 K
2020.07.02 15:30 != 2020.07.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 4800 K | -12034 K | 2509 K | 2699 K
2020.06.05 15:30 != 2020.06.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 2509 K | -10000 K | -20500 K | -20687 K
2020.05.08 15:30 != 2020.05.08 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | -20500 K | 139 K | -701 K | -870 K
2020.04.03 15:30 != 2020.04.03 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | -701 K | 163 K | 273 K | 275 K
2019.10.04 15:30 != 2019.10.04 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 136 K | 174 K | 130 K | 168 K
2019.09.06 15:30 != 2019.09.06 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 130 K | 177 K | 164 K | 159 K
2019.08.02 15:30 != 2019.08.02 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 164 K | 178 K | 224 K | 193 K
2019.07.05 15:30 != 2019.07.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 224 K | 176 K | 75 K | 72 K
2019.06.07 15:30 != 2019.06.07 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 75 K | 170 K | 263 K | 224 K
2019.05.03 15:30 != 2019.05.03 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 263 K | 167 K | 196 K | 189 K
2019.04.05 15:30 != 2019.04.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 196 K | 176 K | 20 K | 33 K

A sinistra c'è l'ora della notizia sulla reazione del prezzo, a destra il calendario.


Sembra che dovremmo fare un correttore automatico nelle date del calendario.

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