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QuanTAlib/lib/volatility/bbw/bbw.pine
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Miha Kralj 86fe32a682 SIMD Refactor: Merge simd-dev into dev (#55)
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: aider (openrouter/anthropic/claude-sonnet-4) <aider@aider.chat>
Co-authored-by: Warp <agent@warp.dev>
2026-01-18 19:02:03 -08:00

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// The MIT License (MIT)
// © 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) =>
if period <= 0 or multiplier <= 0.0
runtime.error("Period and multiplier must be greater than 0")
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
2 * dev
// ---------- 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)