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Miha Kralj 19f956521d docs: add PineScript links to all indicator .md files, docsify .pine renderer with comprehensive Prism v6 syntax highlighting
- Added PineScript row to property tables in 375 .md files linking to companion .pine files
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- Comprehensive Prism.languages.pine grammar covering 18 token categories: annotations, types, qualifiers, namespaces, OHLCV builtins, functions, keywords, operators
- Custom CSS tokens using GitHub dark palette for Pine-specific visual differentiation
2026-03-11 15:36:23 -07:00

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// Licensed under the Apache License, Version 2.0
// © mihakralj
//@version=6
indicator("Yang-Zhang Volatility (YZV)", shorttitle="YZV", overlay=false)
//@function Calculates Yang-Zhang Volatility (YZV)
//@param length Lookback period for smoothing daily variance estimates (> 0)
//@returns Yang-Zhang Volatility value for the current bar
//@optimized Uses bias-corrected RMA with OHLC prices for O(1) complexity per bar
yzv(int length) =>
o=open,h=high,l=low,c=close,pc=na(close[1])?open:close[1]
ro=math.log(o/pc),rc=math.log(c/o),rh=math.log(h/o),rl=math.log(l/o)
s_o_sq=ro*ro,s_c_sq=rc*rc
s_rs_sq=rh*(rh-rc)+rl*(rl-rc)
ratio_N=length<=1?1.0:(float(length)+1.0)/(float(length)-1.0)
k_yz=0.34/(1.34+ratio_N)
s_sq_daily=s_o_sq+k_yz*s_c_sq+(1.0-k_yz)*s_rs_sq
var float EPSILON_YZV = 1e-10 // Consistent with VR's EPSILON_ATR
var float raw_rma_val = 0.0
var float e_comp_val = 1.0
float smoothed_s_sq = na
if not na(s_sq_daily)
rma_alpha = 1.0 / float(length)
if na(raw_rma_val[1]) and e_comp_val == 1.0 // First valid calculation for RMA
raw_rma_val := s_sq_daily
else
raw_rma_val := (nz(raw_rma_val[1]) * (length - 1) + s_sq_daily) / length
e_comp_val := (1.0 - rma_alpha) * e_comp_val
smoothed_s_sq := e_comp_val > EPSILON_YZV ? raw_rma_val / (1.0 - e_comp_val) : raw_rma_val
result = math.sqrt(math.max(0.0, nz(smoothed_s_sq)))
result
// Inputs
i_length = input.int(20, title="Length", minval=1, tooltip="The lookback period for smoothing Yang-Zhang daily variance estimates.")
// Calculation
yzvValue = yzv(i_length)
// Plot
plot(yzvValue, title="YZV", color=color.yellow, linewidth=2)