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 Implied Move Is Computed

Implied-Move Calendar · Advanced

Free to read

How the Implied Move Is Computed

ATM straddle price, the 1.25 correction, variance-additivity, kink isolation, and which feeds are live vs. pending — the full recipe.

The Implied-Move Calendar is built from live option chain data and a small set of well-established calculations. Here is exactly what is computed, what is estimated, and what is still connecting.

Step 1 — extract the ATM straddle

For each listed expiration, the tool identifies the strike closest to the current underlying price — the at-the-money strike. It reads the mid-price of the call and the mid-price of the put at that strike and sums them to form the ATM straddle price. Mid-price (the average of bid and ask) is used in place of last trade to avoid stale prints and to capture current market conditions.

From the option chain to the implied move ATM call mid ATM put mid + straddle price ÷ 1.25 ÷ spot price implied move % = (call mid + put mid) ÷ 1.25 ÷ S ≈ one standard deviation by expiration

The straddle price is divided by 1.25 to correct for the fact that a straddle price slightly exceeds the pure 1SD dollar move, then divided by spot price to convert to a percentage.

Step 2 — the 1.25 correction

The formal 1SD dollar move from options theory is σ · S · √T, where σ is the annualized implied vol, S is spot, and T is time in years. The ATM straddle price equals approximately 0.8 × σ · S · √T under a log-normal model, which means the straddle price is roughly 1.25 times the implied vol's 1SD dollar move (since 1 ÷ 0.8 = 1.25). Dividing the straddle price by 1.25 brings the figure back to a proper 1SD estimate before the final division by spot price. In practice, skew and interest rates introduce small deviations; the 1.25 factor is the standard market approximation used on trading desks.

Step 3 — variance additivity and kink isolation

The curve is smooth when no events fall in the window. When an event does fall inside a window, the expiration that first captures it prices higher than the prior expiration — not because more calendar time has passed but because a discrete, expected variance contribution has been added. The tool estimates the smooth baseline by interpolating across expirations that appear event-free, then computes the kink as the residual above that baseline at the kinked expiration. This residual, converted back to a percentage move, is the event's marginal implied move.

Step 4 — the named-event calendar overlay

The tool attempts to match each kink to a labeled event from its calendar feeds. The following feeds are currently live: equity earnings dates (sourced from the earnings-calendar API); FOMC meeting dates (sourced from the Federal Reserve public calendar). The following are pending connection: CPI and PPI release dates; PCE dates; NFP (Non-Farm Payroll) dates; individual-company-specific events (analyst days, product launches). When a pending feed has not yet connected for a given underlying, the kink is still computed and displayed in the term structure; only the automatic label is absent. Users can match pending events manually by cross-referencing the kink date with the economic calendar.

Step 5 — historical over/under track

For names in the initial launch set with sufficient history, the tool flags whether the underlying has historically over- or under-delivered relative to its implied move at the same type of event. This historical track is computed as the ratio of the actual post-event move to the pre-event implied move, averaged across past events of the same type. Note: this historical track is currently a pending feature for names outside the initial set; the methodology will be updated as coverage expands.

Do it live

The methodology is free. To compute live implied moves and kinks on your underlyings: ETFs with ETF Analytics, single names with ETF + Equities, and full term-structure history as a CSV with Everything.

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Educational content from Nations Indexes. VolDex® is a registered mark of Nations Indexes. The 1.25 straddle-to-1SD approximation is a standard market convention; actual figures vary with skew and interest rates. Named-event feed coverage is described above. Diagrams are schematic. Nothing here is investment advice.