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 the Volatility Cones Are Built

Volatility Cones · Desk

Free to read

How the Cones Are Built

Realized vol, overlapping windows, percentiles, and the VolDex® overlay — the full recipe behind the chart.

The cone is a distribution of realized volatility at each horizon, with today's implied vol dropped on top. Here is exactly how each piece is computed.

Realized volatility

For a window of h trading days, realized vol is the annualized standard deviation of daily log returns over that window: take the close-to-close returns, compute their standard deviation, and scale by √252 to put it in annual terms. That makes every horizon directly comparable to implied vol, which is already quoted annualized.

Realized vol for one window σ  = √252 · stdev( ln(Pₕ / Pₕ₋₁) ) one h-day window daily returns → standard deviation → annualize

Each realized-vol observation is the annualized standard deviation of daily returns inside one h-day window.

Overlapping windows

To build a distribution we need many observations of each horizon. The tool slides the window one day at a time across the lookback, so for a history of T days and a horizon of h days it gathers T − h + 1 overlapping observations. Overlapping sampling is the classic Burghardt–Lane construction: it maximizes the number of readings at the cost of some serial dependence between them. That trade-off is well understood and is the standard way desks have built cones since 1990.

Percentile bands

For each horizon the tool sorts those observations and reads off five summary points — minimum, 25th percentile, median, 75th percentile, maximum. Plotted side by side across the seven horizons, those points become the cone: wide at short horizons where realized vol is noisy, converging toward the median at long horizons where it averages out.

The horizons

Seven fixed windows span roughly one week to one year of trading — from a 7-day horizon out to 252 days. Short windows capture event-driven, jumpy vol; long windows capture the underlying's structural vol regime. Reading one against another is the realized-vol term structure.

The VolDex® overlay and the tags

On top of the realized distribution sits today's Nations VolDex® implied vol — the clean at-the-money reading — at each horizon. The tag is mechanical: above the 75th percentile is RICH, below the 25th is CHEAP, in between is fair. Because the dot and the bands are both annualized vol, the comparison is apples to apples.

How it maps to the Nations suite

The cone is the historical-context layer under VolDex®. VolDex® tells you the level of implied vol; the cone tells you that level's percentile against realized history. Pair it with the VolDex® Term Structure tool (the implied curve across tenors) and the Skew Deconstruction tool (the implied curve across strikes) and you have implied vol read three ways — across time, across strikes, and against its own realized past.

Do it live

The method is free. Run it on ETFs with ETF Analytics, single names with ETF + Equities, and export the full realized-vol series as a CSV with Everything.

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Educational content from Nations Indexes. VolDex® is a registered mark of Nations Indexes. Overlapping-window estimates carry known serial dependence; figures are schematic. Nothing here is investment advice.

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