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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How to Read the Implied-Move Calendar

Implied-Move Calendar · Foundations

Free to read

How to Read the Implied-Move Calendar

Pick an underlying, scan the curve for kinks, match kinks to labeled events, read the marginal event contribution. Four moves.

The tool plots the ATM straddle-implied move for every listed expiration of your chosen underlying. The y-axis is the implied move in percentage; the x-axis is calendar days to expiration. Everything you need to know about the market's event pricing is already on that chart — here is how to work it.

Step 1 — pick the underlying and set the view

Choose the underlying from the ticker input. The chart immediately populates with one dot per listed expiration, connected into the term-structure curve. On ETF Analytics the universe is ETFs; on ETF + Equities, any optionable single name is available. The default view shows all listed expirations; you can zoom to a window around the nearest catalyst if you prefer.

Step 2 — find the smooth baseline, then find the kinks

On a no-event week, implied moves grow with time in a roughly smooth, concave-up curve — earlier expirations are smaller moves, later ones are larger. Scan for departures from that smooth shape: any expiration where the curve steps up more than the surrounding points is a kink. Kinks are event premium made visible.

Reading the curve: smooth baseline vs. kink calendar days to expiration → implied move % kink = event premium earnings smooth baseline

The dashed line is the smooth baseline — what implied moves would look like with no event. The amber dot is the kink at the expiration that captures earnings. Schematic; not a live chart.

Step 3 — match the kink to the calendar label

Below each kink the tool overlays the named-event calendar label when the event feed has that date populated — EARNINGS, FOMC, CPI, and similar. Where the label is present, the kink is identified. Where the feed has not yet connected a date, the kink is still visible in the curve; you can match it manually to a known event date. The methodology page describes the current state of each event feed.

Step 4 — read the marginal event contribution

The kink's height above the smooth baseline is the marginal implied move attributed to the event alone — the market's estimate of the event's stand-alone magnitude. To isolate it: read the implied move at the kinked expiration, then read the implied move at the prior expiration (which should sit on or near the baseline). The difference — adjusted for the time between expirations — approximates what the market is pricing for the event itself, stripped of the diffusive drift between the two dates.

Common misread

Comparing the kinked expiry's implied move directly to a later, smooth expiry gives a misleading ratio — later expirations always have larger moves because they cover more time. Always compare the kinked expiry to the surrounding expirations to isolate the event contribution. The marginal-move panel on the tool does this automatically when event feeds are connected.

What the historical track tells you

When the historical-event track is populated for a name, the tool flags whether this underlying has historically over- or under-delivered relative to its implied move around similar events. An underlying that habitually moves less than implied is a premium-selling candidate going into events; one that habitually exceeds its implied move is a premium-buying candidate. This track is listed in the methodology as a pending feed for names outside the initial launch set.

Do it live

Reading the chart is free. To pull a live calendar on your underlying: ETFs with ETF Analytics, single stocks with ETF + Equities, and the full term-structure history with Everything.

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Educational content from Nations Indexes. VolDex® is a registered mark of Nations Indexes. Diagrams are schematic. Implied move is a ~1SD estimate (~68% band), not a cap on the actual move. Nothing here is investment advice.