Hello,
I took the ‘T3 velocity’ indicator and I modified using three different curves.
It results of a new oscillator that give 3 different time horizons of the price behaviour: short, intermediate and long ones.
The 3 different periods can be modified in the indicator parameters window.
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//Tracy //short=8 //vfactor=.7 Data=customclose x1=(exponentialaverage[short](Data))*(1+vfactor) x2=(exponentialaverage[short](exponentialaverage[short](Data)))*vfactor gd=x1-x2 x11=(exponentialaverage[short](gd))*(1+vfactor) x21=(exponentialaverage[short](exponentialaverage[short](gd)))*vfactor gd1=x11-x21 x12=(exponentialaverage[short](gd1))*(1+vfactor) x22=(exponentialaverage[short](exponentialaverage[short](gd1)))*vfactor first=x12-x22 y1=(exponentialaverage[short](Data))*(1+vfactor/2) y2=(exponentialaverage[short](exponentialaverage[short](Data)))*vfactor/2 ygd=y1-y2 y11=(exponentialaverage[short](ygd))*(1+vfactor/2) y21=(exponentialaverage[short](exponentialaverage[short](ygd)))*vfactor/2 ygd1=y11-y21 y12=(exponentialaverage[short](ygd1))*(1+vfactor/2) y22=(exponentialaverage[short](exponentialaverage[short](ygd1)))*vfactor/2 second=y12-y22 S = first - second[1] //T+2 //intermediate =32 //vfactor=0.7 x10=(exponentialaverage[intermediate ](Data))*(1+vfactor) x20=(exponentialaverage[intermediate ](exponentialaverage[intermediate ](Data)))*vfactor gd2=x10-x20 x110=(exponentialaverage[intermediate ](gd2))*(1+vfactor) x210=(exponentialaverage[intermediate ](exponentialaverage[intermediate ](gd2)))*vfactor gd20=x110-x210 x120=(exponentialaverage[intermediate ](gd20))*(1+vfactor) x220=(exponentialaverage[intermediate ](exponentialaverage[intermediate ](gd20)))*vfactor first1=x120-x220 y10=(exponentialaverage[intermediate ](Data))*(1+vfactor/2) y20=(exponentialaverage[intermediate ](exponentialaverage[intermediate ](Data)))*vfactor/2 ygd2=y10-y20 y110=(exponentialaverage[intermediate ](ygd2))*(1+vfactor/2) y210=(exponentialaverage[intermediate ](exponentialaverage[intermediate ](ygd2)))*vfactor/2 ygd20=y110-y210 y120=(exponentialaverage[intermediate ](ygd20))*(1+vfactor/2) y220=(exponentialaverage[intermediate ](exponentialaverage[intermediate ](ygd20)))*vfactor/2 second1=y120-y220 S1 = first1 - second1[1] //T+3 //long=64 //vfactor=.7 x100=(exponentialaverage[long](Data))*(1+vfactor) x200=(exponentialaverage[long](exponentialaverage[long](Data)))*vfactor gd3=x100-x200 x1100=(exponentialaverage[long](gd3))*(1+vfactor) x2100=(exponentialaverage[long](exponentialaverage[long](gd3)))*vfactor gd30=x1100-x2100 x1200=(exponentialaverage[long](gd30))*(1+vfactor) x2200=(exponentialaverage[long](exponentialaverage[long](gd30)))*vfactor first2=x1200-x2200 y100=(exponentialaverage[long](Data))*(1+vfactor/2) y200=(exponentialaverage[long](exponentialaverage[long](Data)))*vfactor/2 ygd3=y100-y200 y1100=(exponentialaverage[long](ygd3))*(1+vfactor/2) y2100=(exponentialaverage[long](exponentialaverage[long](ygd3)))*vfactor/2 ygd30=y1100-y2100 y1200=(exponentialaverage[long](ygd30))*(1+vfactor/2) y2200=(exponentialaverage[long](exponentialaverage[long](ygd30)))*vfactor/2 second2=y1200-y2200 S2 = first2 - second2[1] return S coloured (255,0,0) as "SHORT" , S1 coloured (0,160,0) as "INTERMEDIATE", S2 coloured (0,0,255) as "LONG" , 0 coloured (1,1,1) as "level 0" |
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At least, here it is 🙂 Thanks for your contribution to the prorealtime code library. Every valuable contribution is welcome!
Hello,
I have not found better tool for analyzing divergences.
Congrats !
Ciao , tu come lo usi?
Ciao tatankayotanka…..ho provato a caricare il tuo indicatore ciclico, ma quando chiedo la convalida, mi da questo errore: Caratteri mancanti.Suggerimenti:fine del codice.