Files
QuanTAlib/lib/volatility/_index.md
T
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

4.3 KiB

Volatility Indicators

"Volatility is the price of admission. The question is whether the ride is worth it."

Volatility measures the magnitude of price changes, independent of direction. Low volatility indicates consolidation and coiling energy; high volatility indicates explosive movement and trend development. These indicators answer "how much?" and "how fast?", not "which way?".

Core volatility concepts:

  • Range-Based: High minus Low, with or without gap adjustment (TR, ATR)
  • Return-Based: Standard deviation of log returns (HV, EWMA)
  • Estimator-Based: Statistical models using OHLC combinations (Garman-Klass, Yang-Zhang)
  • Normalized: Percentage or [0,1] scaled for cross-asset comparison (ATRP, ATRN)

Implementation Status

Indicator Full Name Status Description
ADR Average Daily Range Simple High-Low range without gap adjustment
ATR Average True Range Standard volatility measure accounting for gaps via True Range
ATRN ATR Normalized ATR normalized to [0,1] based on historical min/max
ATRP ATR Percent ATR as percentage of close price
BBW Bollinger Band Width 📋 Distance between upper and lower Bollinger Bands
BBWN BB Width Normalized 📋 BBW normalized to [0,1] range
BBWP BB Width Percentile 📋 BBW percentile rank over lookback
CCV Close-to-Close Volatility 📋 Annualized volatility from log returns
CV Conditional Volatility 📋 GARCH(1,1) model for time-varying volatility
CVI Chaikin Volatility 📋 Rate of change in smoothed High-Low range
EWMA EWMA Volatility 📋 Exponentially weighted squared returns
GKV Garman-Klass Volatility 📋 Efficient OHLC-based estimator
HLV High-Low Volatility 📋 Range-based volatility without close
HV Historical Volatility 📋 Standard deviation of returns
JVOLTY Jurik Volatility 📋 Low-lag, smooth Jurik volatility
JVOLTYN Jurik Volatility Normalized 📋 JVOLTY normalized to [0,1]
MASSI Mass Index 📋 Range expansion/contraction for reversal detection
NATR Normalized ATR 📋 ATR as percentage (equivalent to ATRP)
PV Parkinson Volatility 📋 High-Low estimator assuming no drift
RSV Rogers-Satchell Volatility 📋 OHLC estimator with drift adjustment
RV Realized Volatility 📋 High-frequency intraday volatility
RVI Relative Volatility Index 📋 Directional volatility measure
TR True Range 📋 Single-bar volatility with gap capture
UI Ulcer Index 📋 Downside risk and drawdown depth/duration
VOV Volatility of Volatility 📋 Second derivative: how fast volatility changes
VR Volatility Ratio 📋 Current TR relative to average TR
YZV Yang-Zhang Volatility 📋 OHLC plus overnight gap estimator

Legend: Implemented | 📋 Planned

Indicator Selection Guide

Use Case Recommended Rationale
Position Sizing ATR, ATRP Standard for risk-based sizing
Stop Loss Distance ATR Absolute measure in price units
Cross-Asset Comparison ATRP, ATRN Normalized for different price scales
Regime Detection ATRN [0,1] scale with clear thresholds
Intraday Analysis ADR Gaps irrelevant for same-session
Gap-Sensitive Analysis ATR True Range captures overnight gaps

Volatility Regime Interpretation

ATRN Range ATRP Typical Regime Implications
0.8 - 1.0 > 5% Crisis/Extreme Widen stops, reduce size, expect whipsaws
0.5 - 0.8 2-5% Elevated Trending conditions, standard trend-following
0.2 - 0.5 1-2% Normal Balanced conditions, mixed strategies
0.0 - 0.2 < 1% Compressed Consolidation, mean-reversion, breakout setups

ATR Family Comparison

Indicator Output Use Case
ATR Absolute price units Stop distance, position sizing in same asset
ATRP Percentage (0-100%) Cross-asset comparison, percentage-based sizing
ATRN Normalized [0,1] Regime detection, volatility ranking
ADR Absolute price units Intraday analysis, gap-insensitive