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 Dealer GEX & the Flip Are Computed

Dealer Gamma · Desk

Free to read

How Dealer GEX & the Flip Are Computed

Open interest, option gamma, a sign convention, and a running sum. The full recipe — and exactly where the assumptions live.

Net Dealer Gamma Exposure turns the visible option chain into an estimate of how dealers must hedge. Here is each step.

Gamma per strike

For every listed strike and expiration, the tool computes the option's gamma from a standard Black–Scholes model using spot, strike, time to expiry, rate, and implied vol. Gamma is the second derivative of option value with respect to price — how fast delta changes.

Scaling to dollars of hedging

Each strike's gamma is multiplied by its open interest, the contract multiplier (100 shares), and a spot-move factor to express it as the dollar delta dealers must trade per unit move. That converts an abstract Greek into an estimate of real hedging flow concentrated at each strike.

GEX at a strike GEX = Γ × OI × 100 × S × sign Γ = option gamma · OI = open interest · S = spot calls → + (long) puts → − (short) standard convention: dealers long calls, short puts

Each strike's gamma exposure is scaled by open interest and signed by the standard dealer convention, then summed.

The sign convention

The signs are where the assumption lives. The standard convention treats dealers as long call gamma and short put gamma — the mirror of a customer base that buys puts for protection and sells calls for yield. Under it, call open interest contributes positive GEX and put open interest negative. It's a well-established heuristic, but it is an assumption: real dealer books vary, and unusual flow can violate it.

Net GEX by strike, and the cumulative profile

Summing signed GEX at each strike gives the Net Dealer GEX by Strike chart. Running that sum across price gives the Cumulative Net GEX profile — the dealers' net gamma as a function of where spot is.

The gamma flip level

The flip is the price where the cumulative profile crosses zero: above it, net dealer gamma is positive (long-gamma, stabilizing); below it, negative (short-gamma, amplifying). Because it depends on open interest and spot, the flip moves as positioning changes and can shift through the session.

Limitations

GEX is a regime heuristic, not a flow model. It assumes the sign convention, uses listed open interest (which lags intraday positioning), can't see OTC or dealer inventory directly, and is sensitive to the implied vols used for the gammas. Read it for regime and concentration, not as a precise prediction of order flow.

How it maps to the Nations suite

Dealer gamma is the positioning lens. Pair it with the implied-vol tools — VolDex® Term Structure (cost across time), Skew Deconstruction (cost across strikes), and Volatility Cones (cost versus realized history) — and you see both what vol costs and how the hedging of it is likely to push price.

Do it live

The method is free. Run it on ETFs with ETF Analytics, single names with ETF + Equities, and export the full GEX-by-strike series with Everything.

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Educational content from Nations Indexes. GEX is an estimate under a standard sign convention; it is a regime heuristic, not a precise flow model, and is sensitive to the inputs described above. Nothing here is investment advice.

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