Same concept as Bollinger Bands Width % applied to Hull Bands.
//@version=2 study(title='[RS]Hull Bands W% V1', shorttitle='HBW%', overlay=false) length = input(2) overbought = input(70) oversold = input(30) f_hull(_mode, _src, _length)=> _base_0 = ema(_src, _length) _base_1 = ema(_base_0, _length*2) _base_2 = ema(_base_1, _length*3) _base_3 = ema(_base_2, _length*4) _return = _mode > 0 ? max(_src, max(_base_0, max(_base_1, max(_base_2, _base_3)))) : min(_src, min(_base_0, min(_base_1, min(_base_2, _base_3)))) top = f_hull(+1, high, length) bot = f_hull(-1, low, length) hbw_c = ((close-bot)/(top-bot))*100 hbw_h = ((high-bot)/(top-bot))*100 hbw_l = ((low-bot)/(top-bot))*100 hbw_top = f_hull(+1, highest(hbw_h, length), length) hbw_bot = f_hull(-1, lowest(hbw_l, length), length) ob_hbw_h = hbw_h >= overbought ? hbw_h : overbought os_hbw_l = hbw_l <= oversold ? hbw_l : oversold plot(title='Decay', series=hbw_top, style=circles, color=maroon) plot(title='Price', series=hbw_c, color=black) //plot(hbw_h, color=black) //plot(hbw_l, color=black) plot(title='Growth', series=hbw_bot, style=circles, color=green) hline(title='OB', price=overbought, color=maroon) hline(title='OS', price=oversold, color=green) plot(title='OB Area', series=ob_hbw_h, style=area, color=green, transp=60, histbase=overbought) plot(title='OS Area', series=os_hbw_l, style=area, color=maroon, transp=60, histbase=oversold)