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Kütüphaneler: Takvim - sayfa 10

Yeni yorum

Takvim verilerinin uygunluğu üzerine.


Karşılaştırma için başka bir kaynağın çalışması.

Kütüphane, etkinlik modifikasyonuna izin verecek şekilde güncellendi. 
#include <fxsaber\Calendar\Calendar.mqh> // https://www.mql5.com/tr/code/32430

void OnStart()
{
  CALENDAR Calendar;
  
  const string Currencies[] = {SymbolInfoString(_Symbol, SYMBOL_CURRENCY_BASE),
                               SymbolInfoString(_Symbol, SYMBOL_CURRENCY_PROFIT)};
  
  // Sembol para birimlerine göre yaklaşan önemli olayları aldı.
  Calendar.Set(Currencies);
  
  Print(Calendar.ToString()); // Çıktılarını aldım.
  
  EVENT Events[];
  
  if (Calendar.GetEvents(Events) > 0) // Tüm olayları dahili formatta aldım.
  {    
    Events[0].Importance = (ENUM_CALENDAR_EVENT_IMPORTANCE)27; // Olayın önemini değiştirdi.

    Calendar = Events; // Etkinlikleri Takvim'e yerleştirin.
    
    Print(Calendar.ToString()); // Çıktılarını aldım.
  }
}


Sonuç.

2024.03.06 16:45 CAD 3 BoC Interest Rate Decision (boc-interest-rate-decision), Canada (CA) |  |  | 5.0% | 
2024.03.06 17:00 CAD 3 Ivey PMI (ivey-pmi), Canada (CA) |  | 56.4 | 56.5 | 
2024.03.08 15:30 CAD 3 Employment Change (employment-change), Canada (CA) |  | 33.3 K | 37.3 K | 

2024.03.06 16:45 CAD 27 BoC Interest Rate Decision (boc-interest-rate-decision), Canada (CA) |  |  | 5.0% | 
2024.03.06 17:00 CAD 3 Ivey PMI (ivey-pmi), Canada (CA) |  | 56.4 | 56.5 | 
2024.03.08 15:30 CAD 3 Employment Change (employment-change), Canada (CA) |  | 33.3 K | 37.3 K |

Ticaret, otomatik ticaret sistemleri ve ticaret stratejilerinin test edilmesi üzerine forum

Kütüphaneler: Takvim

fxsaber, 2023.04.13 00:07 pm.

Görünüşe göre ticaret sunucusuyla eşleşen bir Takvim düzelticim var.

#property script_show_inputs

input ulong inEventID = 840030006; // EventID
input string inName = ""; // Name -> EventID (Tarım Dışı İstihdam -> 840030016)
input datetime inFrom = D'2020.01.01';
input bool inDST = true;

void OnStart()
{
  CALENDAR Calendar;
    
  if (inName == "")
  {
    Calendar.Set(inEventID);
    Calendar.FilterByTime(inFrom, TimeCurrent());
    
    Calendar.CorrectTime(); // MQL takvimi özelliklerini atlayın: https://www.mql5.com/ru/forum/444094/page14#comment_46213385
    
    if (inDST)
      Calendar.DST(); // Ticaret sunucusu Avrupa saati ile senkronize edilmişse çağırın.
  
    for (int i = Calendar.GetAmount() - 1; i >= 0; i--)
    {
      const EVENT Event = Calendar[i];    
      const datetime ChartNews = ChartNewsTime(Event.time); // https://www.mql5.com/ru/forum/357793/page5#comment_44225999
      
      if (Event.time != ChartNews)    
        Print("-" + (string)Event.EventID + ": " + TimeToString(ChartNews) + " != " + Event.ToString());
      else
        Print("+" + (string)Event.EventID + ": " + TimeToString(ChartNews) + " == " + Event.ToString());
    }
  }
  else // Olay kimliğini isme göre al.
  {
    string Currencies[2];
    
    // Geçerli karakterin para birimlerini alın.
    Currencies[0] = ::SymbolInfoString(_Symbol, SYMBOL_CURRENCY_BASE);
    Currencies[1] = ::SymbolInfoString(_Symbol, SYMBOL_CURRENCY_PROFIT);
    
    if (Calendar.Set(Currencies, CALENDAR_IMPORTANCE_MODERATE, inFrom) && Calendar.FilterByName(inName))
      for (int i = Calendar.GetAmount() - 1; i >= 0; i--)
        Print((string)Calendar[i].EventID + ": " + Calendar[i].ToString());
  }
}


Sonuç.

+840030016: 2023.04.07 15:30 == 2023.04.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 236 K | -8 K | 311 K | 326 K
+840030016: 2023.03.10 15:30 == 2023.03.10 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 311 K | -35 K | 517 K | 504 K
+840030016: 2023.02.03 15:30 == 2023.02.03 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 517 K | 16 K | 223 K | 260 K
+840030016: 2023.01.06 15:30 == 2023.01.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 223 K | 57 K | 263 K | 256 K
+840030016: 2022.12.02 15:30 == 2022.12.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 263 K | -30 K | 261 K | 284 K
+840030016: 2022.11.04 14:30 == 2022.11.04 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 261 K | -97 K | 263 K | 315 K
+840030016: 2022.10.07 15:30 == 2022.10.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 263 K | 33 K | 315 K | 
+840030016: 2022.09.02 15:30 == 2022.09.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 315 K | 156 K | 528 K | 526 K

Web takvimiyle eşleşiyor. Herhangi bir bariz tutarsızlık gören varsa, bana bildirin.

Şimdi takvimi geriye dönük testler için kullanmak doğru gibi görünüyor.

Bu sonucu aldım:

OnStart > DST: false
+840030006: 2024.03.12 14:30 == 2024.03.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.3% | 0.4% | 
-840030006: 2024.02.13 15:30 != 2024.02.13 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.2% | 0.3% | 
-840030006: 2024.01.11 15:30 != 2024.01.11 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.3% | 0.3% | 
-840030006: 2023.12.12 15:30 != 2023.12.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.3% | 0.2% | 
-840030006: 2023.11.14 15:30 != 2023.11.14 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.2% | 0.3% | 0.3% | 
-840030006: 2023.10.12 15:30 != 2023.10.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.4% | 0.3% | 
-840030006: 2023.09.13 15:30 != 2023.09.13 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.4% | 0.2% | 
-840030006: 2023.08.10 15:30 != 2023.08.10 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.2% | 0.4% | 0.2% | 
-840030006: 2023.07.12 15:30 != 2023.07.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.2% | 0.4% | 0.4% | 
-840030006: 2023.06.13 15:30 != 2023.06.13 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.4% | 0.4% | 
-840030006: 2023.05.10 15:30 != 2023.05.10 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.5% | 0.4% | 
-840030006: 2023.04.12 15:30 != 2023.04.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.5% | 0.5% | 
+840030006: 2023.03.14 14:30 == 2023.03.14 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.5% | 0.5% | 0.4% | 
-840030006: 2023.02.14 15:30 != 2023.02.14 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.5% | 0.3% | 0.4%
-840030006: 2023.01.12 15:30 != 2023.01.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.5% | 0.2% | 

OnStart > DST: true
-840030006: 2024.03.12 14:30 != 2024.03.12 13:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.3% | 0.4% | 
-840030006: 2024.02.13 15:30 != 2024.02.13 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.2% | 0.3% | 
-840030006: 2024.01.11 15:30 != 2024.01.11 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.3% | 0.3% | 
-840030006: 2023.12.12 15:30 != 2023.12.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.3% | 0.2% | 
-840030006: 2023.11.14 15:30 != 2023.11.14 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.2% | 0.3% | 0.3% | 
-840030006: 2023.10.12 15:30 != 2023.10.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.4% | 0.3% | 
-840030006: 2023.09.13 15:30 != 2023.09.13 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.4% | 0.2% | 
-840030006: 2023.08.10 15:30 != 2023.08.10 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.2% | 0.4% | 0.2% | 
-840030006: 2023.07.12 15:30 != 2023.07.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.2% | 0.4% | 0.4% | 
-840030006: 2023.06.13 15:30 != 2023.06.13 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.4% | 0.4% | 
-840030006: 2023.05.10 15:30 != 2023.05.10 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.5% | 0.4% | 
-840030006: 2023.04.12 15:30 != 2023.04.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.5% | 0.5% | 
-840030006: 2023.03.14 14:30 != 2023.03.14 13:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.5% | 0.5% | 0.4% | 
-840030006: 2023.02.14 15:30 != 2023.02.14 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.4% | 0.5% | 0.3% | 0.4%
-840030006: 2023.01.12 15:30 != 2023.01.12 14:30 USD 2 Core CPI m/m (consumer-price-index-ex-food-energy-mm), United States (US) | 0.3% | 0.5% | 0.2% |
fxsaber #:

Görünüşe göre ticaret sunucusuyla eşleşen bir Takvim düzeltici olduğu ortaya çıktı.

Sonuç.

Web Takvimi ile eşleşiyor. Herhangi bir bariz tutarsızlık gören olursa bana haber versin.

Şimdi takvimi geriye dönük testler için kullanmak doğru gibi görünüyor.

Tutarsızlıklar her yerde görülmektedir:

OnStart > DST: false
-840200001: 2024.03.06 15:30 != 2024.03.06 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 1.367 M | 4.491 M | 4.199 M | 
-840200001: 2024.02.28 15:30 != 2024.02.28 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 4.199 M | 3.930 M | 3.514 M | 
+840200001: 2024.02.22 17:00 == 2024.02.22 17:00 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 3.514 M | 6.807 M | 12.018 M | 
+840200001: 2024.02.14 16:30 == 2024.02.14 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 12.018 M | 3.392 M | 5.520 M | 
-840200001: 2024.02.07 17:30 != 2024.02.07 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 5.520 M | -3.716 M | 1.234 M | 
-840200001: 2024.01.31 15:30 != 2024.01.31 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 1.234 M | -6.860 M | -9.233 M | 
+840200001: 2024.01.24 16:30 == 2024.01.24 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | -9.233 M | -0.744 M | -2.492 M | 
+840200001: 2024.01.18 17:00 == 2024.01.18 17:00 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | -2.492 M | 4.112 M | 1.338 M | 
-840200001: 2024.01.10 17:30 != 2024.01.10 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 1.338 M | -2.280 M | -5.503 M | 
+840200001: 2024.01.04 17:00 == 2024.01.04 17:00 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | -5.503 M | -2.499 M | -7.114 M | 

OnStart > DST: true
-840200001: 2024.03.06 15:30 != 2024.03.06 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 1.367 M | 4.491 M | 4.199 M | 
-840200001: 2024.02.28 15:30 != 2024.02.28 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 4.199 M | 3.930 M | 3.514 M | 
+840200001: 2024.02.22 17:00 == 2024.02.22 17:00 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 3.514 M | 6.807 M | 12.018 M | 
+840200001: 2024.02.14 16:30 == 2024.02.14 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 12.018 M | 3.392 M | 5.520 M | 
-840200001: 2024.02.07 17:30 != 2024.02.07 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 5.520 M | -3.716 M | 1.234 M | 
-840200001: 2024.01.31 15:30 != 2024.01.31 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 1.234 M | -6.860 M | -9.233 M | 
+840200001: 2024.01.24 16:30 == 2024.01.24 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | -9.233 M | -0.744 M | -2.492 M | 
+840200001: 2024.01.18 17:00 == 2024.01.18 17:00 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | -2.492 M | 4.112 M | 1.338 M | 
-840200001: 2024.01.10 17:30 != 2024.01.10 16:30 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | 1.338 M | -2.280 M | -5.503 M | 
+840200001: 2024.01.04 17:00 == 2024.01.04 17:00 USD 3 EIA Crude Oil Stocks Change (eia-crude-oil-stocks-change), United States (US) | -5.503 M | -2.499 M | -7.114 M |

//---

Lütfen bunu kendiniz de kontrol edin.

Anatoli Kazharski #:

Yönetim kurulu genelindetutarsızlıklar gözlemlenmektedir

Fiyat teklifleri üzerinde zayıf bir etkisi olduğu için 840200001-event ile karşılaştırılamaz - sol sütun zamanı yanlış hesaplanabilir.
fxsaber #:
840200001-event ile karşılaştırma yapamazsınız, çünkü teklifler üzerinde zayıf bir etkisi vardır - sol sütunun zamanı yanlış hesaplanabilir.

Teşekkürler, daha yakından baktım ve önerilen yöntemi anladım.

Bazı durumlarda fiyatın ne kadar değiştiğini görmek için belirli bir zaman aralığına (olaydan önce ve sonra) bakmanın daha ilginç olacağını düşünüyorum.

Anatoli Kazharski #:

Tutarsızlıklar gözlemleniyor

Kütüphaneyi güncelledikten sonra Takvim, herhangi bir brokerdeki teklif geçmişi ile senkronize edilmelidir.


Kontrol edin (EURUSD üzerinde çalıştırın).

#property script_show_inputs

input ulong inEventID = 840030016; // EventID (840030016 - Tarım Dışı İstihdam)
input datetime inFrom = D'2020.01.01';

// Zaman çubuğu boyutu.
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);
}

// Boyuta göre en büyük çubuğun zamanı (diziden zamana göre).
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)]);
}

// Fiyat verileriyle ilgili en olası haber zamanı (güçlü tepki).
datetime ChartNewsTime( const datetime &Time )
{
  datetime Times[3];
      
  Times[0] = Time;
  Times[1] = Times[0] - 3600;
  Times[2] = Times[0] + 3600;
  
  return(GetMaxBarSizeTime(Times));
}

#include <fxsaber\Calendar\Calendar.mqh> // https://www.mql5.com/tr/code/32430
#define  PRINT(A) Print(#A + " = " + (string)(A))

void OnStart()
{ 
  PRINT(AccountInfoString(ACCOUNT_SERVER));
  PRINT(TimeTradeServer());
  PRINT(DST::IsEurope());            // Avrupa DST Yönetmeliği.
  PRINT(DST::GetRollover());         // Devir Süresi.
  PRINT(DST::TimeServerGMTOffset()); // GMT sunucu ofseti.
  
  CALENDAR Calendar;
    
  Calendar.Set(inEventID);
  Calendar.FilterByTime(inFrom, TimeCurrent());
  
  Calendar.AutoDST();

  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("-" + (string)Event.EventID + ": " + TimeToString(ChartNews) + " != " + Event.ToString());
    else
      Print("+" + (string)Event.EventID + ": " + TimeToString(ChartNews) + " == " + Event.ToString());
  }
}


Sonuç.

AccountInfoString(ACCOUNT_SERVER) = RannForex-Server
TimeTradeServer() = 2024.03.14 09:26:54
DST::IsEurope() = 1
DST::GetRollover() = 2024.03.13 23:00:00
DST::TimeServerGMTOffset() = -7200
+840030016: 2024.03.08 15:30 == 2024.03.08 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 275 K | 220 K | 353 K | 229 K
+840030016: 2024.02.02 15:30 == 2024.02.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 353 K | 186 K | 216 K | 333 K
+840030016: 2024.01.05 15:30 == 2024.01.05 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 216 K | 1 K | 199 K | 173 K
+840030016: 2023.12.08 15:30 == 2023.12.08 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 199 K | -3 K | 150 K | 
+840030016: 2023.11.03 14:30 == 2023.11.03 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 150 K | -8 K | 336 K | 297 K
+840030016: 2023.10.06 15:30 == 2023.10.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 336 K | 1 K | 187 K | 227 K
+840030016: 2023.09.01 15:30 == 2023.09.01 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 187 K | 12 K | 187 K | 157 K
+840030016: 2023.08.04 15:30 == 2023.08.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 187 K | -1 K | 209 K | 185 K
+840030016: 2023.07.07 15:30 == 2023.07.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 209 K | -19 K | 339 K | 306 K
+840030016: 2023.06.02 15:30 == 2023.06.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 339 K | 1 K | 253 K | 294 K
+840030016: 2023.05.05 15:30 == 2023.05.05 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 253 K | 23 K | 236 K | 165 K
+840030016: 2023.04.07 15:30 == 2023.04.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 236 K | -8 K | 311 K | 326 K
+840030016: 2023.03.10 15:30 == 2023.03.10 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 311 K | -35 K | 517 K | 504 K
+840030016: 2023.02.03 15:30 == 2023.02.03 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 517 K | 16 K | 223 K | 260 K
+840030016: 2023.01.06 15:30 == 2023.01.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 223 K | 57 K | 263 K | 256 K
+840030016: 2022.12.02 15:30 == 2022.12.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 263 K | -30 K | 261 K | 284 K
+840030016: 2022.11.04 14:30 == 2022.11.04 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 261 K | -97 K | 263 K | 315 K
+840030016: 2022.10.07 15:30 == 2022.10.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 263 K | 33 K | 315 K | 
+840030016: 2022.09.02 15:30 == 2022.09.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 315 K | 156 K | 528 K | 526 K
+840030016: 2022.08.05 15:30 == 2022.08.05 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 528 K | -19 K | 372 K | 398 K
+840030016: 2022.07.08 15:30 == 2022.07.08 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 372 K | -229 K | 390 K | 384 K
+840030016: 2022.06.03 15:30 == 2022.06.03 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 390 K | -19 K | 428 K | 436 K
+840030016: 2022.05.06 15:30 == 2022.05.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 428 K | 317 K | 431 K | 428 K
+840030016: 2022.04.01 15:30 == 2022.04.01 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 431 K | 80 K | 678 K | 750 K
+840030016: 2022.03.04 15:30 == 2022.03.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 678 K | -413 K | 467 K | 481 K
+840030016: 2022.02.04 15:30 == 2022.02.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 467 K | -192 K | 199 K | 510 K
+840030016: 2022.01.07 15:30 == 2022.01.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 199 K | 379 K | 210 K | 249 K
+840030016: 2021.12.03 15:30 == 2021.12.03 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 210 K | 330 K | 531 K | 546 K
+840030016: 2021.11.05 14:30 == 2021.11.05 14:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 531 K | -54 K | 194 K | 312 K
+840030016: 2021.10.08 15:30 == 2021.10.08 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 194 K | -302 K | 235 K | 366 K
+840030016: 2021.09.03 15:30 == 2021.09.03 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 235 K | 23 K | 943 K | 1053 K
+840030016: 2021.08.06 15:30 == 2021.08.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 943 K | 381 K | 850 K | 938 K
+840030016: 2021.07.02 15:30 == 2021.07.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 850 K | 3 K | 559 K | 583 K
+840030016: 2021.06.04 15:30 == 2021.06.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 559 K | -396 K | 266 K | 278 K
+840030016: 2021.05.07 15:30 == 2021.05.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 266 K | -1 K | 916 K | 770 K
+840030016: 2021.04.02 15:30 == 2021.04.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 916 K | 409 K | 379 K | 468 K
+840030016: 2021.03.05 15:30 == 2021.03.05 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 379 K | -137 K | 49 K | 166 K
+840030016: 2021.02.05 15:30 == 2021.02.05 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 49 K | -497 K | -140 K | -227 K
+840030016: 2021.01.08 15:30 == 2021.01.08 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | -140 K | 207 K | 245 K | 336 K
+840030016: 2020.12.04 15:30 == 2020.12.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 245 K | 528 K | 638 K | 610 K
+840030016: 2020.11.06 15:30 == 2020.11.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 638 K | -76324 K | 661 K | 672 K
-840030016: 2020.10.02 16:30 != 2020.10.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 661 K | 78356 K | 1371 K | 1489 K
+840030016: 2020.09.04 15:30 == 2020.09.04 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 1371 K | -74433 K | 1763 K | 1734 K
+840030016: 2020.08.07 15:30 == 2020.08.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 1763 K | 4511 K | 4800 K | 4791 K
+840030016: 2020.07.02 15:30 == 2020.07.02 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 4800 K | -12034 K | 2509 K | 2699 K
+840030016: 2020.06.05 15:30 == 2020.06.05 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 2509 K | -10000 K | -20500 K | -20687 K
+840030016: 2020.05.08 15:30 == 2020.05.08 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | -20500 K | 139 K | -701 K | -870 K
+840030016: 2020.04.03 15:30 == 2020.04.03 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | -701 K | 163 K | 273 K | 275 K
+840030016: 2020.03.06 15:30 == 2020.03.06 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 273 K | 161 K | 225 K | 273 K
+840030016: 2020.02.07 15:30 == 2020.02.07 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 225 K | 161 K | 145 K | 147 K
+840030016: 2020.01.10 15:30 == 2020.01.10 15:30 USD 3 Nonfarm Payrolls (nonfarm-payrolls), United States (US) | 145 K | 168 K | 266 K | 256 K


Sonbahar Avrupa/ABD senkronizasyonu sırasında doğruluğunu kontrol etmek gerekecektir.

Artık takvimi geri testlerde kullanabilirsiniz (teslimatta örnek EA güncellendi).


ZY Bu yazarın çalışmalarına bakmanızı tavsiye ederim.

amrali
amrali
  • www.mql5.com
Trader's profile 
  static int TimeServerGMTOffset( void )
  {
    MqlCalendarValue Value[1];

    ::CalendarValueHistoryByEvent(840030016, Value, D'2023.09.01', D'2023.09.02');

    // EVENT::CorrectTime(Value[0].time);

    return((-3 + (24 - DST::GetHour(Value[0].time - 31 * HOUR / 2)) % 24) * HOUR);
  }

Bu fonksiyonun doğruluğu hakkında kötü hislerim var.

Kalkülüsten limitler kullanarak: (x % 24) için çıkış aralığı 0 ila 23'tür, bu nedenle fonksiyonun çıkış aralığı -3 ila 20'dir. bu nedenle -5'lik bir sunucu temsil edilemez.

amrali #:

Bu işlevin doğruluğu konusunda içimde kötü bir his var.

Kalkülüsten limitler kullanarak: (x % 24) için çıkış aralığı 0 ila 23'tür, bu nedenle fonksiyonun çıkış aralığı -3 ila 20'dir. bu nedenle -5'lik bir sunucu temsil edilemez.

Haklısınız, teşekkür ederim.

doğrudan 12:30'dan çıkarır (-3 + 31*/2 yerine):

int TimeServerGMTOffset(void)
  {
   MqlCalendarValue Value[1];

   ::CalendarValueHistoryByEvent(840030016, Value, D'2023.09.01', D'2023.09.02');

   return((int)(D'2023.09.01 12:30' - Value[0].time));
  }
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