ChrisMoody

CM_Pivot Points_M-W-D-4H-1H_Filtered

Famous Filtered Pivots Indicator -Many TimeFrames Available

CM_Pivot Points_M-W-D-4H-1H_Filtered

***Special Thanks to TheLark... AKA ...The Coding Genius For Providing His Expertise...

***New Feature - Ability to turn On/Off Pivot Moving Average
***New Feature - Ability to turn On/Off Filtered Pivots (Explained Below)

Available Timeframes (Change In Inputs Tab):
1 Hour
4 Hour
Daily
Weekly
Monthly
Yearly

***All Features Available in Inputs Tab

-Ability to Plot just 1, or all Pivot Timeframes
-Defaults to Monthly Pivots
-Ability to turn On/Off Pivot Moving Average
-Ability to turn On/Off Filtered Pivots
-Ability to Plot S3 and R3 on 1 Hour and 4 Hour Pivots

***FILTERED PIVOTS!!!

-THIS IS A WAY TO FIND THE HIGHEST PROBABILITY MOVES
-IF CURRENT PIVOT IS GREATER THAN PREVIOUS PIVOT (INCLUDING MARKET THRESHOLD CALCULATION) THEN PIVOT , S1, & R2 PLOT
-IF CURRENT PIVOT IS LESS THAN PREVIOUS PIVOT (INCLUDING MARKET THRESHOLD CALCULATION) THEN PIVOT , S2, & R1 PLOT
-***THIS IS A WAY TO FILTER OUT PIVOTS AND ONLY PLOT THE LEVELS THAT ARE EXPECTED TO BE MAJOR SUPPORT AND RESISTANCE

***VIDEO COMING SOON WHERE i WILL GO OVER IN DETAIL THE THOUGHT PROCESS AND METHODOLOGY
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//Created by ChrisMoody 11-23-14 with Special Thanks to TheLark...AKA...The Coding Genius
study(title="CM_Pivot Points_M-W-D_4H_1H_Filtered", shorttitle="CM_Pivots_Filtered", overlay=true)
pf = input(true,title="Show Filtered Pivots")
sa = input(true,title="Show Pivot Average")
sh = input(false, title="Show 1 Hour Pivots?")
sf = input(false, title="Show 4 Hour Pivots?")
sd = input(false, title="Show Daily Pivots?")
sw = input(false, title="Show Weekly Pivots?")
sm = input(true, title="Show Monthly Pivots?")
sy = input(false, title="Show Yearly Pivots?")
sh3 = input(false, title="Show R3 & S3 Only On 1 Hour & 4 Hour?")

// Classic Pivot
pivot = (high + low + close ) / 3.0
// Filter Cr
bull= pivot > (pivot + pivot[1]) / 2 + .0025
bear= pivot < (pivot + pivot[1]) / 2 - .0025
// Classic Pivots
r1 = pf and bear ? pivot + (pivot - low) : pf and bull ? pivot + (high - low) : pivot + (pivot - low)
s1 = pf and bull ? pivot - (high - pivot) : pf and bear ? pivot - (high - low) : pivot - (high - pivot)
r2 = pf ? na : pivot + (high - low)
s2 = pf ? na : pivot - (high - low)
r3 = sh3 and r1 + (high - low) ? r1 + (high - low) : na
s3 = sh3 and s1 - (high - low) ? s1 - (high - low) : na
//Pivot Average Calculation
smaP = sma(pivot, 3)

//1 Hour Pivots
htime_pivot = security(tickerid, '60', pivot[1])
htime_pivotAvg = security(tickerid, '60', smaP[1])
htime_R1 = security(tickerid, '60', r1[1])
htime_S1 = security(tickerid, '60', s1[1])
htime_R2 = security(tickerid, '60', r2[1])
htime_S2 = security(tickerid, '60', s2[1])
htime_R3 = security(tickerid, '60', r3[1])
htime_S3 = security(tickerid, '60', s3[1])

plot(sa and sh and htime_pivotAvg ? htime_pivotAvg : na, title="Hourly Pivot Average",style=cross, color=orange,linewidth=2)
plot(sh and htime_pivot ? htime_pivot : na, title="Hourly Pivot",style=circles, color=fuchsia,linewidth=2) 
plot(sh and htime_R1 ? htime_R1 : na, title="Hourly R1",style=circles, color=#DC143C,linewidth=2)
plot(sh and htime_S1 ? htime_S1 : na, title="Hourly S1",style=circles, color=lime,linewidth=2)
plot(sh and htime_R2 ? htime_R2 : na, title="Hourly R2",style=circles, color=maroon,linewidth=2)
plot(sh and htime_S2 ? htime_S2 : na, title="Hourly S2",style=circles, color=#228B22,linewidth=2)
plot(sh and htime_R3 ? htime_R3 : na, title="Hourly R3",style=circles, color=#FA8072,linewidth=2)
plot(sh and htime_S3 ? htime_S3 : na, title="Hourly S3",style=circles, color=#CD5C5C,linewidth=2)

//4 Hour Pivots
ftime_pivot = security(tickerid, '240', pivot[1])
ftime_pivotAvg = security(tickerid, '240', smaP[1])
ftime_R1 = security(tickerid, '240', r1[1]) 
ftime_S1 = security(tickerid, '240', s1[1])
ftime_R2 = security(tickerid, '240', r2[1]) 
ftime_S2 = security(tickerid, '240', s2[1])
ftime_R3 = security(tickerid, '240', r3[1]) 
ftime_S3 = security(tickerid, '240', s3[1])

plot(sa and sf and ftime_pivotAvg ? ftime_pivotAvg : na, title="4 Hour Pivot Average",style=cross, color=orange,linewidth=2)
plot(sf and ftime_pivot ? ftime_pivot : na, title="4 Hour Pivot",style=circles, color=fuchsia,linewidth=3) 
plot(sf and ftime_R1 ? ftime_R1 : na, title="4 Hour R1",style=circles, color=#DC143C,linewidth=3) 
plot(sf and ftime_S1 ? ftime_S1 : na, title="4 Hour S1",style=circles, color=lime,linewidth=3) 
plot(sf and ftime_R2 ? ftime_R2 : na, title="4 Hour R2",style=circles, color=maroon,linewidth=3) 
plot(sf and ftime_S2 ? ftime_S2 : na, title="4 Hour S2",style=circles, color=#228B22,linewidth=3) 
plot(sf and ftime_R3 ? ftime_R3 : na, title="4 Hour R3",style=circles, color=#FA8072,linewidth=3) 
plot(sw and ftime_S3 ? ftime_S3 : na, title="4 Hour S3",style=circles, color=#CD5C5C,linewidth=3)

//Daily Pivots 
dtime_pivot = security(tickerid, 'D', pivot[1])
dtime_pivotAvg = security(tickerid, 'D', smaP[1])
dtime_r1 = security(tickerid, 'D', r1[1]) 
dtime_s1 = security(tickerid, 'D', s1[1]) 
dtime_r2 = security(tickerid, 'D', r2[1]) 
dtime_s2 = security(tickerid, 'D', s2[1])

offs_daily = 0
plot(sa and sd and dtime_pivotAvg ? dtime_pivotAvg : na, title="Daily Pivot Average",style=cross, color=orange,linewidth=2)
plot(sd and dtime_pivot ? dtime_pivot : na, title="Daily Pivot",style=circles, color=fuchsia,linewidth=3) 
plot(sd and dtime_r1 ? dtime_r1 : na, title="Daily R1",style=circles, color=#DC143C,linewidth=3) 
plot(sd and dtime_s1 ? dtime_s1 : na, title="Daily S1",style=circles, color=lime,linewidth=3) 
plot(sd and dtime_r2 ? dtime_r2 : na, title="Daily R2",style=circles, color=maroon,linewidth=3) 
plot(sd and dtime_s2 ? dtime_s2 : na, title="Daily S2",style=circles, color=#228B22,linewidth=3) 

//Weekly Pivots 
wtime_pivot = security(tickerid, 'W', pivot[1])
wtime_pivotAvg = security(tickerid, 'W', smaP[1])
wtime_R1 = security(tickerid, 'W', r1[1]) 
wtime_S1 = security(tickerid, 'W', s1[1])
wtime_R2 = security(tickerid, 'W', r2[1]) 
wtime_S2 = security(tickerid, 'W', s2[1])

plot(sa and sw and wtime_pivotAvg ? wtime_pivotAvg : na, title="Weekly Pivot Average",style=cross, color=orange,linewidth=3)
plot(sw and wtime_pivot ? wtime_pivot : na, title="Weekly Pivot",style=circles, color=fuchsia,linewidth=4) 
plot(sw and wtime_R1 ? wtime_R1 : na, title="Weekly R1",style=circles, color=#DC143C,linewidth=4) 
plot(sw and wtime_S1 ? wtime_S1 : na, title="Weekly S1",style=circles, color=lime,linewidth=4) 
plot(sw and wtime_R2 ? wtime_R2 : na, title="Weekly R2",style=circles, color=maroon,linewidth=4) 
plot(sw and wtime_S2 ? wtime_S2 : na, title="Weekly S2",style=circles, color=#228B22,linewidth=4) 

//Monthly Pivots
mtime_pivot = security(tickerid, 'M', pivot[1])
mtime_pivotAvg = security(tickerid, 'M', smaP[1])
mtime_R1 = security(tickerid, 'M', r1[1])
mtime_S1 = security(tickerid, 'M', s1[1])
mtime_R2 = security(tickerid, 'M', r2[1])
mtime_S2 = security(tickerid, 'M', s2[1])

plot(sa and sm and mtime_pivotAvg ? mtime_pivotAvg : na, title="Monthly Pivot Average",style=cross, color=orange,linewidth=4)
plot(sm and mtime_pivot ? mtime_pivot : na, title="Monthly Pivot",style=circles, color=fuchsia,linewidth=5)
plot(sm and mtime_R1 ? mtime_R1 : na, title="Monthly R1",style=circles, color=#DC145C,linewidth=5)
plot(sm and mtime_S1 ? mtime_S1 : na, title="Monthly S1",style=circles, color=lime,linewidth=5)
plot(sm and mtime_R2 ? mtime_R2 : na, title="Monthly R2",style=circles, color=maroon,linewidth=5)
plot(sm and mtime_S2 ? mtime_S2 : na, title="Monthly S2",style=circles, color=#228B22,linewidth=5)

//Yearly Pivots
ytime_pivot = security(tickerid, '12M', pivot[1])
ytime_pivotAvg = security(tickerid, '12M', smaP[1])
ytime_R1 = security(tickerid, '12M', r1[1])
ytime_S1 = security(tickerid, '12M', s1[1])
ytime_R2 = security(tickerid, '12M', r2[1])
ytime_S2 = security(tickerid, '12M', s2[1])

//Yearly Pivots Plots
plot(sa and sy and ytime_pivotAvg ? ytime_pivotAvg : na, title="Yearly Pivot Average",style=cross, color=orange,linewidth=4)
plot(sy and ytime_pivot ? ytime_pivot : na, title="Yearly Pivot",style=cross, color=fuchsia,linewidth=6) 
plot(sy and ytime_R1 ? ytime_R1 : na, title="Yearly R1",style=cross, color=#DC143C,linewidth=6) 
plot(sy and ytime_S1 ? ytime_S1 : na, title="Yearly S1",style=cross, color=lime,linewidth=6) 
plot(sy and ytime_R2 ? ytime_R2 : na, title="Yearly R2",style=cross, color=maroon,linewidth=6) 
plot(sy and ytime_S2 ? ytime_S2 : na, title="Yearly S2",style=cross, color=#228B22,linewidth=6)
Good One. It will help my indicator development to the greater accuracy


+3 返信
hola amigo, ¿como puedo aplicarlo este indicador? me gustaria usarlo .
+6 返信
Hello Chris,

I just wonder that why don't you use lookahead=barmerge.lookahead_off function on your code base?
+16 返信
@fatih_er, can you explain where you would add it? Im guessing when this script was written it wasnt available. Was posted in 2014
+3 返信
NeoButane fatih_er
@fatih_er,

This script uses version 1 of Pine Script's engine, therefore lookahead is always on and there (previously was) no way to turn it off.
Using for pulling data fixes any problems that having lookahead_on would create. Using and lookahead_on is actually ideal for pivot visualization.
返信
This is a really great indicator and I love it. Many thanks for sharing this. Hugely appreciated.
返信
hi chris, I am really glad your amazing indicator. I have a short question and I hope, you will have a time to answer it.

I use camarilla pivots and I noticed that pivots are not stay on constant value in real time market, their end points change up to current candle. How can I keep them on constant value. let me give u an example of my part of formula

s3 = WeekClose - (WeekHigh - WeekLow) * 1.1 / 4
BUY = security(tickerid, Pivots_Time_Frame, s3)
Rule = low <= BUY
plotshape(Rule, style=shape.triangleup, color=green, location=location.belowbar, text='BUY')

Best


+15 返信
Where do I enter the above script for the pivots indicator on MT4?
+17 返信
This looks great, but the pivot points move when you zoom in and out. https://www.youtube.com/watch?v=J4SZGrgzDaY

Got it set up for 4H pivots as dots and daily pivots as lines, but everything is moving as zoom in and out!!
+2 返信
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