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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Risk-Neutral Density, Explained

Risk-Neutral Density · Foundations

Free to read

Risk-Neutral Density, Explained

One implied-vol number tells you what the at-the-money option costs. The risk-neutral density tells you what the entire options market believes — a full probability distribution across every possible price at expiration.

Every option on the board encodes a belief about the future. A single implied-vol reading captures what the at-the-money option thinks; a full chain of options, from deep puts to far calls, encodes the whole distribution the market is pricing. The Risk-Neutral Density (RND) tool extracts that distribution and draws it: a smooth probability curve over strike prices, telling you how much probability mass the options market assigns to every possible expiration outcome.

The name "risk-neutral" is a technical one. It doesn't mean the market is indifferent to risk — far from it. It means the density is extracted under the pricing measure that options math uses, where all assets grow at the risk-free rate. The distribution you get is real market information, but it has been discounted into a particular mathematical framework. Understanding that distinction is the first key to reading the tool correctly.

What the density shows

The output is a curve plotted over strike prices. The area under any slice of that curve is the risk-neutral probability the market assigns to the underlying finishing in that price range at expiration. The curve's peak — its mode — is the single most-probable outcome. Its tails reveal crash fear (fat left tail), rally potential (fat right tail), or binary tension (two humps). This is implied vol's full story, not its summary statistic.

Risk-neutral density — anatomy of the curve strike price → probability density mode forward −1σ +1σ fat left tail = crash fear

The risk-neutral density curve. The peak (mode) is the most-probable outcome; the forward marks where a fair-value contract settles; the ±1σ implied range is drawn from the smile. A fat left tail — more probability mass than a normal distribution would assign — is the market pricing crash fear. Schematic; not a live chart.

How it is extracted

The mathematical foundation is the Breeden–Litzenberger identity: the risk-neutral density at any strike K equals the second derivative of the call-price function with respect to K, scaled by the risk-free discount factor. In symbols: f(K) = erT · ∂²C/∂K². The idea is elegant — if you could observe call prices at every strike continuously, differentiating twice would hand you the density. In practice, quoted option prices are noisy and sparse. Differentiating raw quotes twice would produce a result dominated by noise. So the tool first fits a smooth implied-volatility smile across all available strikes, converts that smooth smile back into a call-price curve, and then differentiates. The smoothing is where most of the craft lives.

Risk-neutral vs real-world

The density the tool shows is not a forecast of where the underlying will actually go. Investors demand compensation for bearing risk — especially tail risk — and that risk premium shifts probability mass from the distribution you'd forecast to the distribution the market charges you to bear. In practice, the risk-neutral left tail is almost always fatter than the physical (real-world) left tail: crash insurance carries a risk premium, so the market prices crashes as more probable than historical data alone would suggest. The RND tells you what the market is charging; it does not tell you what will happen.

What the tool marks

Three reference lines sit on every density chart. Spot is where the underlying trades right now. The forward is where a cost-of-carry calculation puts fair value at expiration — this is where the distribution is centered under pure risk-neutrality. The ±1σ implied range brackets the region the at-the-money implied vol says contains roughly 68% of the probability. When the density's peak (mode) sits to the left of the forward, it means the distribution is right-skewed — a long right tail. A fatter left tail than right is the normal state for equity indexes and the signature of crash-fear pricing.

Do it live

These ideas are free. To pull a live risk-neutral density yourself: ETFs with ETF Analytics, any optionable single stock with ETF + Equities, and the full density data as a CSV with Everything.

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Educational content from Nations Indexes. VolDex® is a registered mark of Nations Indexes. Diagrams are schematic. Nothing here is investment advice.