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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Reading an implied-volatility number

Learning CenterVolatility 101 › Reading an implied-volatility number

Reading an implied-volatility number

BeginnerFree7 min read

An implied-volatility reading is an annualized percentage, but most moves you care about happen over days or weeks — so the first skill is converting it to a horizon you can use. A quick rule: divide the annual figure by about 16 to get a rough one-day expected move (16 is the square root of the ~256 trading days in a year). So 20% annual implied volatility implies a daily move of roughly 1.25%. For a month, divide by about 3.5 (the square root of 12): that same 20% implies a monthly move near 5.8%.

The second skill is context. A 20% reading means nothing in isolation — it is high for a sleepy bond ETF and low for a single tech stock into earnings. What matters is where today’s number sits relative to its own history. Is it in the top decile of the last year, or the bottom quartile? That percentile framing is how professionals decide whether volatility is cheap or expensive.

A worked example

Same number, opposite verdict

NVDA’s VolDex® reads 55 into earnings; a broad ETF reads 14. Convert first: 55 ÷ 16 ≈ a 3.4% expected daily move for NVDA; 14 ÷ 16 ≈ 0.9% for the ETF.

But is 55 “high”? Only against NVDA’s own record. If NVDA routinely runs 45–70, a 55 is unremarkable — mid-range. Meanwhile the ETF at 14 might sit in the 90th percentile of its own year, which is genuinely stretched. The lower raw number is the more extreme reading. Percentile beats level, every time.

The third skill is to watch the change, not just the level. A jump in implied volatility often signals that new risk has been recognized; a steady bleed lower usually accompanies grinding, complacent markets. The direction and speed of the move carry as much information as the number itself. And finally, remember what the number is not: it is not a forecast of direction, and it is not a promise. It is the market’s probability-weighted expectation of magnitude — and, like any expectation, often wrong, which is precisely why the gap between implied and realized is tradeable.

Common pitfalls

Comparing raw IV across names. A 30 on one stock and a 30 on another are not the same signal; each must be ranked against its own history.

Reacting to the level, not the change. A reading holding steady at a high level is very different from one spiking there today.

Treating IV as a direction call. It measures expected magnitude, not which way the price will go.

One distinction to keep straight as the habit forms: IV percentile (the share of days over the past year when implied volatility was lower than today) and IV rank (where today sits between the year’s low and high) can disagree, especially after a single large spike. Percentile is usually the steadier read, because one outlier day stretches the range but barely moves the distribution.

What to do with this

Read every implied-volatility number in three moves: convert it to your trading horizon, rank it against its own history as a percentile, then check whether it is rising or falling. Only after those three steps does a raw figure become a decision. Next, we look at why puts and calls almost never carry the same implied volatility — the skew.

Next lesson · continue the courseSkew: why puts and calls cost different amounts →

See it live

Percentiles turn a raw reading into a verdict. Every index and underlying carries live lifetime and 52-week percentiles inside ETF Analytics.

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