Our Indexes

The world's leading
independent volatility indexes.

Five precision-engineered indexes that strip away the distortions of legacy vol measures — giving you a clean, real-time read on what options are actually pricing.

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VolDex®
A better way to measure option volatility
VolDex® focuses on the options that matter most—at-the-money (ATM) options with near-term expirations—giving a cleaner, more accurate view of implied volatility.

By isolating these highly liquid and actively traded contracts, VolDex avoids the distortion caused by less relevant, far out-of-the-money options. The result is a more precise snapshot of market expectations for price movement and investor sentiment—without the noise.
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CallDex®
A clearer signal of bullish sentiment & expected volatility
CallDex® tracks the cost of out-of-the-money call options to gauge market sentiment for the next 30 days. It uses call options that are one standard deviation out-of-the-money to measure what investors are expecting in terms of both volatility and potential price direction.

Higher CallDex values generally suggest traders are anticipating bigger moves or a possible market rally. Lower values indicate a calmer outlook or reduced interest in upside exposure.
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PutDex®
Focused on downside risk pricing
PutDex® delivers a clear, strike-specific measure of implied volatility by concentrating on one key data point: the normalized cost of a 30-day, one standard deviation out-of-the-money (OTM) SPY put option.

This approach isolates the segment of the options market most directly associated with downside protection, removing the noise from less relevant strike prices. The result precisely indicates market sentiment around tail risk, hedging activity, and bearish positioning.

By zeroing in on these put options—widely used by institutional investors to protect against market declines—PutDex offers valuable insight into how much investors are willing to pay to insure against losses over the next month.
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RiskDex®
A Clear Signal of Expected Market Direction
RiskDex® measures investor sentiment by comparing the normalized cost of 30-day, one standard deviation out-of-the-money (OTM) SPY put and call options. This simple ratio reveals whether the market is more focused on downside protection or upside opportunity — offering a direct view of expected equity direction over the next month.

Unlike traditional volatility indexes, which reflect overall price movement, RiskDex highlights directional bias. A rising RiskDex indicates OTM put prices are increasing at a faster rate than OTM call prices and suggests growing concerns about potential declines; a lower reading signals confidence or complacency.

This makes RiskDex a valuable tool for traders and risk managers seeking clarity on where the market thinks it's headed—not just how volatile it might be.
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TailDex®
A smarter signal for downside risk & tail hedging demand
TailDex® measures the price of deep out-of-the-money put options to assess bearish sentiment and demand for tail risk protection over the next 30 days. By focusing on puts that are three standard deviations OTM, it reflects how concerned traders are about a major downside move, often called a 'tail event'.

Higher TailDex values suggest rising demand for crash protection or increased fear of large selloffs. Lower values imply a calmer market tone and less urgency to hedge against tail risk.
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Rich vs Cheap, Across Names

Vol Relative-Value Screener · Foundations

Free to read

Rich vs Cheap, Across Names

One implied-vol number tells you nothing by itself. Comparing it cross-sectionally — against every other name at the same moment — tells you where the edge is sitting today.

A single implied-vol reading answers nothing on its own. NVDA vol at 60%: rich or cheap? It depends on what NVDA usually does — that's the time-series question — and it depends on what every other name is doing right now — that's the cross-sectional question. Cross-sectional relative value is the comparison of implied vol, VRP, and skew across all names at a single point in time. The Vol Relative-Value Screener is built to make that comparison systematic.

Why cross-sectional ranking matters

Options don't exist in isolation. If you're looking to sell premium, the question isn't just "is AAPL vol elevated?" It's "which name in the universe is paying me the most per unit of risk I'm taking on?" If you want to buy protection cheaply, the question is "where is implied vol most depressed — not just versus its own history, but versus the universe today?" Cross-sectional ranking answers both in one pass.

This matters even more when all names are elevated. A broad vol spike — a macro shock, a sudden regime shift — can push every name's implied vol above its own historical 75th percentile simultaneously. On the Cones tool, every name looks rich. On the Screener, you can still rank them and find the relatively richest — the one where implied is stretched furthest beyond what the cross-section would predict for its normal vol level.

Sorting the universe by VRP — one moment in time VRP (implied − realized) VRP = 0 NVDATSLAAMD METASPYQQQ IWMTLTGLD IEFSLV RICH CHEAP

Sorting the universe by VRP at one moment. Names to the left have positive VRP — implied is running above realized, so sellers are being paid. Names to the right have negative VRP — implied is below realized, so protection is cheap. This ranking changes every day.

The Variance Risk Premium as the cross-sectional signal

The Variance Risk Premium (VRP) — implied vol minus realized vol — is the backbone of the cross-sectional ranking because it's normalized. A 60% implied on NVDA and a 15% implied on IEF can't be compared directly; but if NVDA's VRP is +12% and IEF's VRP is −3%, the comparison is immediate: NVDA is rich (sellers paid), IEF is cheap (protection underpriced). The VRP strips out the level effect and gives you the premium in the same unit for every name.

The other columns add context

VRP is the headline signal but the screener gives you more. Term Slope tells you whether vol is in contango or backwardation for each name — the shape of the implied curve in just two columns. RiskDex® adds directional skew: is this name pricing downside fear? The 1-year columns — IV Rank, IV %ile, and the VolDex® z-score — add the time-series layer back in, so you can see whether the richest name cross-sectionally is also historically elevated (double signal) or merely elevated in cross-section while being modest versus its own history (weaker signal). Each column adds a dimension; the ranking across all of them is the trade idea.

Pair ideas: sell the rich, buy the cheap

The natural output of a cross-sectional screener is a vol pair: sell premium on the richest name, buy premium on the cheapest, and pocket the spread. The position is less exposed to a broad vol move — if the whole market reprices, you're partially hedged — and more exposed to the relative correction that the screen is predicting. That's the classic vol relative-value trade structure, and the screener is the entry point for finding the two legs.

The calendar caveat

Rich is often rich for a reason: earnings, a product launch, a macro event falling inside the option window. Always check the calendar before acting on a screener's richest name. If the richness is pure event premium and you sell it, you're actually short the event — a different trade than selling rich realized-vol mismatch. Know what you own.

Do it live

Understanding cross-sectional RV is free. To run the live ranking across all 24 names: ETFs with ETF Analytics, single names and metal/crypto ETFs with ETF + Equities, full trailing-year history for rank/percentile/z-score with Everything.

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Educational content from Nations Indexes. VolDex® and RiskDex® are registered marks of Nations Indexes. Diagrams are schematic. Nothing here is investment advice.