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367 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 | 367 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
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