Volatility
Compare implied and realized measures, expected ranges, windows, percentiles, and estimator choices.
Open the volatility guideivol.xyz turns volatility, VIX, trading volume, volume profile, footprint data, and cross-asset risk into clear visual systems. No mystery metrics. Every view names its horizon, unit, source, and limits.
Volatility and volume answer different questions. Choose a route that matches the horizon and market structure you need to understand.
Compare implied and realized measures, expected ranges, windows, percentiles, and estimator choices.
Open the volatility guideUnderstand the SPX option-derived index, constant 30-day horizon, spikes, futures curve, and limits.
Open the VIX guideRead activity through time, volume by price, footprint cells, delta, and liquidity context.
Open volume chart guidesExplore surfaces, regime heatmaps, cross-asset comparisons, and synchronized event views.
Open visualization libraryThe image below uses synthetic data to demonstrate the design language: price path, volatility bands, volume concentration, surface shape, and cross-asset state.
A line, profile, heatmap, footprint, or surface can each be correct—and still be wrong for the question.
Use lines and aligned small multiples for realized volatility, implied volatility, VIX, returns, and rolling relationships. Keep horizons explicit and avoid deceptive dual axes.
Use volume profile or footprint views to organize activity by price. Publish the anchor, session, row size, data coverage, and classification method.
Use heatmaps and percentiles for breadth, then preserve native units in small multiples. Missing observations are not calm observations.
A VIX-linked product usually follows a futures index, not spot VIX. Understand curve shape, roll, compounding, fees, and issuer structure before comparing returns.
Cross-asset volatility charts can reveal shared stress and local shocks, but only after units, horizons, calendars, and index methodologies are aligned.
Large moves tend to arrive in groups. Explore rolling volatility, autocorrelation, regime bands, transitions, and the uncertainty behind every state label.
Realized volatility summarizes observed return variation, but the chart depends on window, sampling, estimator, session, and annualization choices.
A volatility surface maps implied volatility across strike and expiration. Learn what the shape reveals and how to visualize it without hiding the method.
Footprint charts place volume inside each price bar. Learn what bid/ask cells, delta, and imbalance show—and what they cannot prove about market intent.
A trustworthy visualization states the instrument, horizon, units, timestamp, session, source coverage, transformation, and whether the values are observed, calculated, modeled, or illustrative.
Define: What is measured?
Locate: Which asset, venue, strike, expiration, and session?
Normalize: Raw units, percentiles, or standardized values?
Disclose: What is missing, filtered, interpolated, or synthetic?
Limit: What can the chart not establish?
No. Implied volatility primarily describes the magnitude of movement priced into options for a defined strike and horizon. Direction requires other evidence and should not be inferred from IV alone.
Not necessarily. Heavy trading can occur near one price, while thin liquidity can produce a large move on relatively little volume. Activity, liquidity, direction, and variability should be charted as separate dimensions.
Spot VIX is a calculated index. Tradeable products usually reference VIX futures or futures indexes, so curve shape, roll, fees, and daily reset mechanics can make returns differ from spot VIX.
No. Homepage graphics are explicitly synthetic design examples. Source-linked articles explain authoritative methodologies, while any future live or delayed data would require a visible timestamp and data-status label.
Move from a headline number to the full structure: history, horizon, strike, price, activity, and regime.