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Miha Kralj 35a6702b06 fix(docs): correct .md documentation across errors, dynamics, filters, forecasts, momentum, numerics, oscillators, reversals, statistics, trends, volatility, volume
Deep review of all indicator categories verified .md headers against .cs WarmupPeriod, parameters, inputs, and outputs. Fixes include warmup corrections, parameter documentation, output type accuracy, and Pine Script alignment.
2026-03-10 18:38:23 -07:00

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// Licensed under the Apache License, Version 2.0
// © mihakralj
//@version=6
indicator("Bollinger Band Width (BBW)", "BBW", overlay=false)
//@function Calculates Bollinger Band Width as the difference between upper and lower bands
//@param source Series to calculate Bollinger Bands from
//@param period Lookback period for calculations
//@param multiplier Standard deviation multiplier for band width
//@returns BBW value representing the width between Bollinger Bands
//@optimized for performance and dirty data
bbw(series float source, simple int period, simple float multiplier) =>
var int p = math.max(1, period), var int head = 0, var int count = 0
var array<float> buffer = array.new_float(p, na)
var float sum = 0.0, var float sumSq = 0.0
float oldest = array.get(buffer, head)
if not na(oldest)
sum -= oldest
sumSq -= oldest * oldest
count -= 1
float current_val = nz(source)
sum += current_val
sumSq += current_val * current_val
count += 1
array.set(buffer, head, current_val)
head := (head + 1) % p
float basis = nz(sum / count, source)
float dev = count > 1 ? multiplier * math.sqrt(math.max(0.0, sumSq / count - basis * basis)) : 0.0
basis != 0.0 ? 2 * dev / basis : 0.0
// ---------- Main loop ----------
// Inputs
i_period = input.int(20, "Period", minval=1)
i_source = input.source(close, "Source")
i_multiplier = input.float(2.0, "StdDev Multiplier", minval=0.001)
// Calculation
bbw_value = bbw(i_source, i_period, i_multiplier)
// Plot
plot(bbw_value, "BBW", color=color.yellow, linewidth=2)