mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-29 18:17:43 +00:00
19f956521d
- Added PineScript row to property tables in 375 .md files linking to companion .pine files - Docsify plugin intercepts .pine link clicks, fetches and renders content as syntax-highlighted code blocks - 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
41 lines
1.7 KiB
Plaintext
41 lines
1.7 KiB
Plaintext
// 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)
|