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 Archive & Statistics Are Built

Everything! Analytics · Advanced

Free to read

How the Archive & Statistics Are Built

Daily archive construction, percentile rank calculation, z-score definition, the difference between lifetime and 52-week windows, and the honest limits of each — the full recipe.

The Everything! statistics are computed on-site from the Nations Indexes daily archive. Every number in the statistics column — percentile rank, z-score, high, low — has a specific definition. Here is exactly how each is built and what its limits are.

The daily archive

The archive is a daily time series of index values for each Nations index on each tracked underlying. Coverage begins at the earliest date for which clean, reliable options data existed for that underlying — for the major ETFs, that traces back to 2005. For individual names, coverage begins at the point where Nations indexes could be computed reliably, which varies by underlying. Each daily observation is a single closing-level reading of the index, computed from end-of-day options prices using the same methodology as the live reading. The archive is additive: each trading day appends a new row.

Archive structure — one row per trading day DateUnderlyingIndexLevelStat flags 2005-01-03SPYVolDex® 2024-12-31SPYVolDex®18.7%ile, z 2025-06-27SPYVolDex®22.487th, +1.9 ← full history (earliest clean data, varies by underlying) ← today →

Each row in the archive is a single trading day's closing-level observation. The full archive for major ETFs traces back to 2005. Coverage start dates vary by underlying. The live reading is appended as each trading day closes.

Percentile rank — lifetime

The lifetime percentile rank for today's reading is computed as: of all daily closing-level observations in the full archive for this underlying and index, what fraction are strictly below today's value? Multiply by 100 to express as a percentage. This is the standard empirical percentile (the fraction of the distribution below the current value), with no distributional assumption — it is computed directly from the sorted archive. The lifetime window uses every observation from the first available date through the most recent close.

Percentile rank — 52-week

The 52-week percentile rank is computed identically, but the reference set is restricted to the 252 most recent trading-day observations (approximately one calendar year). A reading can be at the 90th lifetime percentile and the 55th 52-week percentile if the recent period has been broadly elevated — and that gap is informative. If both are high, the reading is extreme by any lens. If only the lifetime is high, the current regime may simply be elevated; within it, today is not unusual.

Z-score — lifetime and 52-week

The z-score is: (today's reading − mean of the reference set) ÷ standard deviation of the reference set. For the lifetime z-score, the reference set is the full archive. For the 52-week z-score, it is the trailing 252 observations. A z-score of +2.0 means today is two standard deviations above the mean of its reference period — roughly the top 2–3% under a normal distribution. The distribution of Nations indexes is not always normal (it can be right-skewed, especially for vol indexes during stress), so z-scores are best interpreted alongside the empirical percentile rank rather than read as normal-distribution probabilities.

Z-score and percentile rank — same reading, two measures index level (schematic distribution) frequency mean today top ~13% z ≈ +1.1 · %ile ≈ 87th

Illustrative. The same reading expressed two ways: its z-score (+1.1, distance from the mean in standard deviations) and its empirical percentile rank (87th, fraction of history below today). The two measures are complementary — percentile is distribution-free; z-score is sensitive to the shape.

Lifetime high and low; 52-week high and low

The lifetime high and low are the maximum and minimum closing-level observations in the full archive. The 52-week high and low are the maximum and minimum of the trailing 252 trading days. These anchor the range and are useful for quickly seeing how much room today's reading has above and below it — especially when checking whether a current extreme is also a historical extreme.

Data revisions and limitations

Options market data, particularly for earlier years, can carry minor revisions as data sources are corrected or supplemented. The archive is updated periodically to incorporate improvements. Coverage start dates represent the earliest point at which Nations deems data clean enough for statistical use; earlier data, where it exists, may be excluded because of liquidity or quality concerns. These decisions are documented in the index methodologies.

Finally: regime change is real. A distribution built from 2005 data includes the 2008–2009 crisis, the 2020 crash, the 2022 rate shock, and many quieter years. If the current market regime differs structurally from the historical mix (e.g., persistently higher or lower structural vol), the lifetime statistics will reflect the blended history, not the current regime alone. That is precisely why the 52-week statistics exist — and why neither measure is a substitute for judgment about the current environment.

Do it live

The methodology is free. The full archive, computed statistics, and CSV download are exclusive to Everything!. Live index readings start with ETF Analytics (ETFs) or ETF + Equities (single names).

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Educational content from Nations Indexes. VolDex®, CallDex®, PutDex®, RiskDex®, TailDex®, TermDex® are marks of Nations Indexes. Percentile and z-score computations use empirical methods described above; figures are schematic. Nothing here is investment advice.