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
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
Coming Soon: www.ChrisMoodyTrading.com
//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)
