# Function Linear Decay V2

EXPERIMENTAL:
improved range detection (it now locks range when its last formed on the appropriate side improving readability as it doesnt auto adjust when opposite extreme moves)

Skript med en öppen källkod

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.

Frånsägelse av ansvar

Vill du använda det här skriptet i ett diagram?
```//@version=2
study(title='Function Linear Decay V2', shorttitle='F', overlay=true)
window = input(100)
exponent = input(type=float, defval=1.0)
//rate = input(0.01)
f_linear_decay(_base_rate, _event_value, _n_since_event)=>_event_value + _base_rate * _n_since_event

h_value = na(h_value[1]) ? high : high >= highest(window) ? high : h_value[1]
l_value = na(l_value[1]) ? low : low <= lowest(window) ? low : l_value[1]

h_bar = na(h_bar[1]) ? n : change(h_value) != 0 ? n : h_bar[1]
l_bar = na(l_bar[1]) ? n : change(l_value) != 0 ? n : l_bar[1]

h_range = na(h_range[1]) ? h_value-l_value : change(h_value) != 0 ? h_value-l_value : h_range[1]
l_range = na(l_range[1]) ? h_value-l_value : change(l_value) != 0 ? h_value-l_value : l_range[1]

n_h_bars = pow(n-h_bar, exponent)
n_l_bars = pow(n-l_bar, exponent)

decay01 = max(l_value, f_linear_decay(0-h_range*0.1, h_value, n_h_bars))
decay02 = max(l_value, f_linear_decay(0-h_range*0.05, h_value, n_h_bars))
decay03 = max(l_value, f_linear_decay(0-h_range*0.025, h_value, n_h_bars))
decay04 = max(l_value, f_linear_decay(0-h_range*0.01, h_value, n_h_bars))
decay05 = max(l_value, f_linear_decay(0-h_range*0.005, h_value, n_h_bars))
decay06 = max(l_value, f_linear_decay(0-h_range*0.0025, h_value, n_h_bars))
decay07 = max(l_value, f_linear_decay(0-h_range*0.001, h_value, n_h_bars))
decay08 = max(l_value, f_linear_decay(0-h_range*0.0005, h_value, n_h_bars))
decay09 = max(l_value, f_linear_decay(0-h_range*0.00025, h_value, n_h_bars))
decay10 = max(l_value, f_linear_decay(0-h_range*0.0001, h_value, n_h_bars))
growth01 = min(h_value, f_linear_decay(0+l_range*0.1, l_value, n_l_bars))
growth02 = min(h_value, f_linear_decay(0+l_range*0.05, l_value, n_l_bars))
growth03 = min(h_value, f_linear_decay(0+l_range*0.025, l_value, n_l_bars))
growth04 = min(h_value, f_linear_decay(0+l_range*0.01, l_value, n_l_bars))
growth05 = min(h_value, f_linear_decay(0+l_range*0.005, l_value, n_l_bars))
growth06 = min(h_value, f_linear_decay(0+l_range*0.0025, l_value, n_l_bars))
growth07 = min(h_value, f_linear_decay(0+l_range*0.001, l_value, n_l_bars))
growth08 = min(h_value, f_linear_decay(0+l_range*0.0005, l_value, n_l_bars))
growth09 = min(h_value, f_linear_decay(0+l_range*0.00025, l_value, n_l_bars))
growth10 = min(h_value, f_linear_decay(0+l_range*0.0001, l_value, n_l_bars))

plot(l_value, style=circles, color=lime, linewidth=1, transp=0)
plot(decay01, color=black, linewidth=1, transp=0)
plot(decay02, color=black, linewidth=1, transp=10)
plot(decay03, color=black, linewidth=1, transp=20)
plot(decay04, color=black, linewidth=1, transp=30)
plot(decay05, color=black, linewidth=1, transp=40)
plot(decay06, color=black, linewidth=1, transp=50)
plot(decay07, color=black, linewidth=1, transp=60)
plot(decay08, color=black, linewidth=1, transp=70)
plot(decay09, color=black, linewidth=1, transp=80)
plot(decay10, color=black, linewidth=1, transp=90)

plot(h_value, style=circles, color=red, linewidth=1, transp=0)
plot(growth01, color=black, linewidth=1, transp=0)
plot(growth02, color=black, linewidth=1, transp=10)
plot(growth03, color=black, linewidth=1, transp=20)
plot(growth04, color=black, linewidth=1, transp=30)
plot(growth05, color=black, linewidth=1, transp=40)
plot(growth06, color=black, linewidth=1, transp=50)
plot(growth07, color=black, linewidth=1, transp=60)
plot(growth08, color=black, linewidth=1, transp=70)
plot(growth09, color=black, linewidth=1, transp=80)
plot(growth10, color=black, linewidth=1, transp=90)

plot(h_value-h_range, color=red)
plot(l_value+l_range, color=lime)
```