LazyBear

Indicators: Butterworth & Super Smoother filters

These indicators, from John Ehlers' book "Cybernetic Analysis for Stocks and Futures", are EMA alternatives.

The basic idea behind all these is to try to get smoothing with as little lag as possible. As you can see from the chart, they are much smoother, have better response, and a closer match to market prices.

Basically, all the responsiveness of a faster EMA , with the smoothing of a slower EMA :)
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//
// @author LazyBear
// 
// If you use this code in its original/modified form, do drop me a note. 
//
study("Two Pole Super Smoother Filter [LazyBear]", shorttitle="2PSSF_LB", overlay=true)
p=hl2
length=input(13)

a1=exp(-1.414*3.14159/length)
b1=2*a1*cos(1.414*180/length)
coef2=b1
coef3=-a1*a1
coef1=1-coef2-coef3
f2 = coef1*p+coef2*nz(f2[1])+coef3*nz(f2[2])
plot(f2,"2-Pole Super Smoother", color=black, linewidth=2)
Where is the rest of the code? 3 pole Super Smoother, 2 pole Butterworth and 3 pole Butterworth
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