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627 kez görüntülendi
Merhabalar aşağıdaki formülü indikatör çizgisi olarak data serisi üzerine nasıl çıkarabilirim

 

(ref(h,-1)+ref(l,-1)+ref(c,-1))/3

ref(c,-1)-((ref(h,-1)-ref(l,-1))*1.1/4.0)

ref(c,-1)+((ref(h,-1)-ref(l,-1))*1.1/2.0)
Grafik kategorisinde (65 puan) tarafından | 627 kez görüntülendi

1 cevap

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En İyi Cevap
merhaba,

(ref(h,-1)+ref(l,-1)+ref(c,-1))/3;

ref(c,-1)-((ref(h,-1)-ref(l,-1))*1.1/4.0);

ref(c,-1)+((ref(h,-1)-ref(l,-1))*1.1/2.0)

şeklinde bölge kısmını data serisi üzeri olarak işaretleyip

kullanabilirsiniz,

bilgilerinize
(40,149 puan) tarafından
tarafından seçilmiş
0 0
Peki periyod kısmını nasıl sabitleyebilirim. Yani günlük periyod değerleri görmek istiyorum ama matriksten 5-10-15 gibi grafiklere bakacağım.
1 0
MERHABA,

formüldeki H yerine

mov[GUN](H,1,s)

c yerine

mov[GUN](C,1,s)

L yerine

mov[GUN](L,1,s)

 

yazmanız gerekir

bilgilerinize
0 0
(ref(mov[GUN](H,1,s),-1)+ref(mov[GUN](C,1,s),-1)+ref(mov[GUN](L,1,s),-1))/3;

 

Sanırım parantez hatası yapıyorum, sadece 1 satırı düzeltebilirmisiniz, Yardımlarınız için ayrıca çok  çok teşekkür ederim
1 0
merhaba,

(ref(mov[GUN](H,1,s),-1)+ref(mov[GUN](C,1,s),-1)+ref(mov[GUN](L,1,s),-1))/3

şeklinde kullanabilirsiniz,

ancak şunu da bilmeniz gerekir ref(mov[GUN](H,1,s),-1) bir önceki günü değil çalıştırdığınız periyodun bir önceki günlük değerini alır,

bilgilerinize
0 0

ben 5dk lık periyodta  bir önceki günün günlük değerlerini görmek istiyorum, aşağıdaki gibi seçenekli yapamazmıyım ?

 

<img alt="" 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

1 0
merhaba

gönderdiğiniz resim bizlere ulaşmadı

 

ancak dünkü değerlere göre

AL:=dayofmonth()><ref(dayofmonth(),-1);
KA:=valuewhen(1,AL,ref(c,-1));  
YU:=valuewhen(1,AL,ref(highestsince(1,AL,h),-1));  
DU:=valuewhen(1,AL,ref(lowestsince(1,AL,l),-1));
(YU+YU+KA)/3

şeklinde inceleyiniz,

bilgilerinize
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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