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// Licensed under the Apache License, Version 2.0
// © mihakralj
//@version=6
indicator("Jurik Volatility", "Jvolty", overlay=false)
//@function Jurik Volatility - extracted volatility component from JMA
//@param source Series to calculate Jvolty from
//@param period Number of bars used in the calculation (>= 1)
//@returns Normalized volatility measure (1 = low volatility, logParam = high volatility)
jvolty(series float source, simple int period) =>
// ---- Precomputed length parameters (constant per series) ----
simple float _LEN0 = period < 1.0000000002 ? 1e-10 : (period - 1.0) / 2.0
simple float _LOG_PARAM = math.max(math.log(math.sqrt(_LEN0)) / math.log(2.0) + 2.0, 0.0)
simple float _SQRT_PARAM = math.sqrt(_LEN0) * _LOG_PARAM
simple float _SQRT_DIV = _SQRT_PARAM / (_SQRT_PARAM + 1.0)
simple float _P_EXP = math.max(_LOG_PARAM - 2.0, 0.5)
// ---- Internal state (persists across bars) ----
var float upperBand = na
var float lowerBand = na
var int bars = 0
// 10-bar local deviation window
var float cycleDelta = 0.0
var int volIndex = 0
var int volCount = 0
var array<float> volWindow = array.new_float(10, 0.0)
// 128-bar volatility distribution
var int distIndex = 0
var int distCount = 0
var array<float> distWindow = array.new_float(128, 0.0)
var array<float> sorted = array.new_float(0)
float current_volty = na
if not na(source)
bars += 1
// ---- First bar: initialize anchors ----
if bars == 1
upperBand := source
lowerBand := source
current_volty := 1.0
else
// 1) Local deviation vs. upperBand / lowerBand
float diffA = source - upperBand
float diffB = source - lowerBand
float absA = math.abs(diffA)
float absB = math.abs(diffB)
float absValue = absA > absB ? absA : absB
float dLocal = absValue + 1e-10
// 2) 10-bar SMA of local deviation -> highD
float oldVol = array.get(volWindow, volIndex)
cycleDelta += dLocal - oldVol
array.set(volWindow, volIndex, dLocal)
volIndex += 1
if volIndex >= 10
volIndex := 0
if volCount < 10
volCount += 1
float highD = volCount > 0 ? cycleDelta / (volCount < 10 ? volCount : 10) : dLocal
// 3) 128-bar volatility distribution + trimmed mean
array.set(distWindow, distIndex, highD)
distIndex += 1
if distIndex >= 128
distIndex := 0
if distCount < 128
distCount += 1
float dRef = highD
if distCount >= 16
int count = distCount
array.clear(sorted)
for i = 0 to count - 1
int idx = distIndex - 1 - i
if idx < 0
idx += 128
array.push(sorted, array.get(distWindow, idx))
array.sort(sorted)
int idxLo = 0
int idxHi = 0
if count >= 128
idxLo := 32
idxHi := 96
else
int slice = int(math.max(5.0, math.round(count * 0.5)))
int drop = (count - slice) / 2
idxLo := drop
idxHi := drop + slice - 1
if idxLo < 0
idxLo := 0
if idxHi >= count
idxHi := count - 1
float sum = 0.0
for i = idxLo to idxHi
sum += array.get(sorted, i)
dRef := sum / float(idxHi - idxLo + 1)
if dRef <= 0.0
dRef := dLocal
// 4) Jurik dynamic exponent
float ratio = absValue / dRef
if ratio < 0.0
ratio := 0.0
float d = math.pow(ratio, _P_EXP)
d := math.min(math.max(d, 1.0), _LOG_PARAM)
// 5) Update upperBand / lowerBand via sqrtDivider ^ sqrt(d)
float adapt = math.pow(_SQRT_DIV, math.sqrt(d))
if source > upperBand
upperBand := source
else
upperBand := source - (source - upperBand) * adapt
if source < lowerBand
lowerBand := source
else
lowerBand := source - (source - lowerBand) * adapt
current_volty := d
current_volty
// ---------- Main loop ----------
// Inputs
i_period = input.int(10, "Period", minval=1, tooltip="Number of bars used in the calculation")
i_source = input.source(close, "Source")
// Calculation
jvolty_value = jvolty(i_source, i_period)
// Plot
plot(jvolty_value, "Jvolty", color=color.orange, linewidth=2)
hline(1.0, "Min Volatility", color=color.gray, linestyle=hline.style_dotted)