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0 beğenilme 0 beğenilmeme
214 kez görüntülendi
Merhabalar,

Pmax ile hazırladığım bir strateji mevcut durumda. Ben bu stratejiyi, bitcoinin fiyatını çekerek tüm bakiyemi kullanılmasını sağlayacak şekilde hazırlamıştım.

Ancak yeni stratejimde, stratejiye birden fazla sembol ekledim ve şu anda eklediğim sembollerin fiyatına nasıl ulaşacağım hakkında bilgim yok. Tek sembol kullanırken, OnDataUpdate fonksiyonu içerisinde şu atamayı yaptığımda, close değişkenine btcusdt'nin fiyatını atıyordu ve bakiyemin tamamı ile işlem yapmasını sağlıyordum.

var barDataModel = GetBarData();
var Close = barData.BarData.Close;

Ancak şuanda 3 adet sembol ile çalıştığım için bu 3 sembolun ayrı ayrı son fiyatlarını nasıl alabilirim acaba?
Algoritmik Trading kategorisinde (47 puan) tarafından | 214 kez görüntülendi

1 cevap

0 beğenilme 0 beğenilmeme

Merhaba,

Oninit methodunda addsymbol fonksiyonu ile işlem yapacağınız sembolleri ekledikten sonra

AddSymbol(Symbol,SymbolPeriod.Min);
AddSymbol("BTC_USDT_BIN",SymbolPeriod.Min);

ondataupdate methodunda aşağıdaki gibi çekebilirsiniz.

// Bardata verileri 
var barDataModel = GetBarData();
var barDataModel1 = GetBarData("BTC_USDT_BIN",SymbolPeriod.Min);

// Son fiyat 
var sembol1 = barDataModel.Close[barDataModel.Close.Count-1];			
var sembol2 = barDataModel1.Close[barDataModel1.Close.Count-1];

 

(6,848 puan) tarafından
0 0

Hocam bu şekilde yaptığımda sürekli olarak aynı fiyatı döndürüyor. 

 

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

Hoş geldiniz, Matriks Destek Platformu sizlere sorularınızın hızlıca cevaplanması için bir ortam sağlar. Sorduğunuz ve cevapladığınız soruların ve yorumlarınızın aldığı oylar üzerinden puan kazanırsınız. Puan sistemine bağlı kampanyamızla ücretsiz kullanım avantajlarından faydalanabilirsiniz.



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