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EURUSD pairs combined slopes V2

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First, thanks to @samtsui for looking over my script and find errors in the math. This is Version 2 of EURUSD             combined slopes. I add color to a columns display. As with any indicator adjust the setting to your style. The script calculates the slope of the moving averages for the most correlated pairs to EURUSD             . The slopes are then simply all added together. I idea is to get a view of the global pressures on EURUSD             . Each pair is multiplied by a correlation factor equal to the length of time set in the inputs, this means pairs that are "out of favor" do not impact the sum of slopes. Instead of technical analysis on one pair, it does multiple in one indicator in one screen.

Comments pros/cons...errors in calculations are welcomed.
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//@version=2
study(title="EURUSD pairs combined slopes", 
     shorttitle="EURUSD pairs combined slopes")
// Add the inputs
l = input(title="Length", type=integer,
     defval=15, minval=5)
smaLength = input(title="EMA length", type=integer,
     defval=21, minval=5)
p0 = input(title="Other data series", type=symbol,defval="FX_IDC:chfhkd")
p1 = input(title="Other data series", type=symbol,defval="FX_IDC:eurhkd")
p2 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpaud")
p3 = input(title="Other data series", type=symbol,defval="FX_IDC:usdchf")
p4 = input(title="Other data series", type=symbol,defval="FX_IDC:usdnok")
p5 = input(title="Other data series", type=symbol,defval="FX_IDC:usdsek") 
p6 = input(title="Other data series", type=symbol,defval="FX_IDC:cadhkd")
p7 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpnzd")
p8 = input(title="Other data series", type=symbol,defval="FX_IDC:usdcad")
p9 = input(title="Other data series", type=symbol,defval="FX_IDC:eurusd")
p10 = input(title="Other data series", type=symbol,defval="FX_IDC:audjpy")
p11 = input(title="Other data series", type=symbol,defval="FX_IDC:gbpsgd")
p12 = input(title="Other data series", type=symbol,defval="FX_IDC:usdcnh")
p13 = input(title="Other data series", type=symbol,defval="FX_IDC:usdjpy")
p14 = input(title="Other data series", type=symbol,defval="FX_IDC:eurgbp")
// Get the additional data series
s0= security(p0, period, close)
s1= security(p1, period, close)
s2= security(p2, period, close)
s3= security(p3, period, close)
s4= security(p4, period, close)
s5= security(p5, period, close)
s6= security(p6, period, close)
s7= security(p7, period, close)
s8= security(p8, period, close)
s9= security(p9, period, close)
s10= security(p10, period, close)
s11= security(p11, period, close)
s12= security(p12, period, close)
s13= security(p13, period, close)
s14= security(p14, period, close)
// Calculate correlation and slopes
corr0 = correlation(close, s0, l)
corr1 = correlation(close, s1, l)
corr2 = correlation(close, s2, l)
corr3 = correlation(close, s3, l)
corr4 = correlation(close, s4, l)
corr5 = correlation(close, s5, l)
corr6 = correlation(close, s6, l)
corr7 = correlation(close, s7, l)
corr8 = correlation(close, s8, l)
corr9 = correlation(close, s9, l)
corr10 = correlation(close, s10, l)
corr11 = correlation(close, s11, l)
corr12 = correlation(close, s12, l)
corr13 = correlation(close, s13, l)
corr14 = correlation(close, s14, l)
sma0 = sma(s0, l)
sma1 = sma(s1, l)
sma2 = sma(s2, l)
sma3 = sma(s3, l)
sma4 = sma(s4, l)
sma5 = sma(s5, l)
sma6 = sma(s6, l)
sma7 = sma(s7, l)
sma8 = sma(s8, l)
sma9 = sma(s9, l)
sma10 = sma(s10, l)
sma11 = sma(s11, l)
sma12 = sma(s12, l)
sma13 = sma(s13, l)
sma14 = sma(s14, l)
m0 = (sma0-sma0[1])*corr0
m1 = (sma1-sma1[1])*corr1
m2 = (sma2-sma2[1])*corr2
m3 = (sma3-sma3[1])*corr3
m4 = (sma4-sma4[1])*corr4
m5 = (sma5-sma5[1])*corr5
m6 = (sma6-sma6[1])*corr6
m7 = (sma7-sma7[1])*corr7
m8 = (sma8-sma8[1])*corr8
m9 = (sma9-sma9[1])*corr9
m10 = ((sma10-sma10[1])*corr10)/100
m11 = (sma11-sma11[1])*corr11
m12 = (sma12-sma12[1])*corr12
m13 = ((sma13-sma13[1])*corr13)/100
m14 = (sma14-sma14[1])*corr14

compm = m0+m1+m2+m3+m4+m5+m6+m7+m8+m9+m10+m11+m12+m13+m14
// m0+m1+m2+m3+m4+m5+m6+m7+m8+m9+m10+m11+m12+m13+m14
compmave = sma(compm, smaLength)

// Plot values
hline(0, color=white, linewidth=1)
dircolor =  iff( compm > 0, green, red)
plot(series=compm,color=dircolor,title="Combined Slope", style=columns)
plot(series=compmave, color=blue, linewidth=3 ,title="Count Average")
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