iPath Series B S&P 500 VIX Short-Term Futures ETN (VXX) Probability Analysis

Probability analysis extracts the risk-neutral probability distribution implied by option prices. It shows the market-implied likelihood of the underlying reaching various price levels by expiration.

iPath Series B S&P 500 VIX Short-Term Futures ETN (VXX) operates in the Financial Services sector, specifically the Asset Management - Leveraged industry, with a market capitalization near $410.0M, listed on CBOE, employing roughly 93,000 people, carrying a beta of -1.96 to the broader market. These iPath Series B S&P 500 VIX Short-Term Futures ETNs are unsecured debt instruments, issued by Barclays Bank PLC. public since 2018-01-19.

Snapshot as of Aug 28, 2026.

Spot Price
$18.30
ATM IV
51.8%
IV Rank
13.4%
IV Percentile
12.3%
HV 20-Day
22.9%
IV Skew 25Δ
-0.187

As of Aug 28, 2026, iPath Series B S&P 500 VIX Short-Term Futures ETN (VXX) at $18.30 has an ATM IV of 51.8%, implying a 30-day one-standard-deviation range of approximately ±$2.72. IV rank is 13.4% (subdued, distribution priced tighter than usual). IV percentile is 12.3%. The 25-delta skew is -0.187: downside tail priced richer than upside, biasing probability mass below spot. Under lognormal assumptions roughly 68% of outcomes fall within ±1σ and 95% within ±2σ; risk-neutral probability analysis refines this by extracting the market-implied distribution directly from options prices, capturing the fat tails that real markets exhibit.

How VXX probability analysis Data Feeds Strategy Selection

Strategy selection on iPath Series B S&P 500 VIX Short-Term Futures ETN options does not derive from any single metric in isolation. The probability analysis view above sits inside a broader read: ATM IV currently sits at 51.8% and dealer gamma exposure is positive, so dealer hedging is mechanically mean-reverting. Combine the probability analysis data here with the volatility-skew surface, dealer-gamma exposure, max-pain level, and upcoming-events calendar to build a positioning thesis. Risk-defined structures (credit spreads, debit spreads, iron condors) are usually safer than naked positions while the regime is uncertain; the data on this page anchors the inputs but does not by itself constitute a trade thesis.

How to read the VXX probability distribution

The probability cone above is the option-market-implied distribution of where iPath Series B S&P 500 VIX Short-Term Futures ETN spot could end up at expiration. It's derived from the implied-volatility surface via a risk-neutral pricing transformation, not from historical realized returns. With ATM IV at 51.8% and spot at $18.30, the 1σ band is approximately ±17.9% over a 30-day horizon. Recent realized HV-20 of 22.9% runs 28.9 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

VXX risk-neutral vs real-world probabilities

The probabilities derived from option prices reflect the market's risk-adjusted view, not the realized statistical distribution. Risk-neutral probabilities include the equity risk premium and skew preferences priced into options, so they tend to overstate tail probability and understate upside drift relative to actually-realized outcomes. VXX's put-skewed 25-delta surface (-0.187) means downside risk-neutral probabilities are higher than upside - the empirical bias is well-documented. For probability-of-touch calculations and assignment-risk modeling, risk-neutral is the right benchmark. For position-sizing your own conviction, blend with realized-volatility-based statistics from the HV columns.

Trading the VXX distribution

Probability-driven strategies aim to capture mispricings between the implied distribution and your own probability assessment. Premium-selling structures (credit spreads, iron condors, cash-secured puts) profit when the implied distribution overprices tail probability relative to realized; premium-buying (debit spreads, long calls/puts, long straddles) profits in the reverse. With VXX IV rank at 13.4%, the chain is pricing tighter tails than recent realized history; buyers get cheaper optionality but need a real catalyst to monetize. Always pair probability-driven strategy selection with a stop loss or wing-defined risk - the implied distribution is a snapshot, and regime shifts can invalidate it intraday.

Learn how risk-neutral density is reported and how to read the data →

VXX implied volatility by strike, top contracts ranked by IV in the nightly options scanVXX Implied Volatility Skew (Top Contracts)170%172%174%176%$100$105$110$115$120$125Strike ($)Implied Volatility
Chart aggregates top-ranked contracts by strike from the institutional-grade nightly options scan. Sparse coverage on long-tail tickers reflects the scan's S&P 500/400/600 + ETF focus.

VXX highest implied-volatility contracts

TypeStrikeExpirationVolumeOIIVBidAsk
CALL$125.00Jan 15, 2027541.7K177.8%$0.08$0.21
CALL$100.00Jan 15, 202791.0K168.9%$0.11$0.32

Top 2 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.

Frequently asked VXX probability analysis questions

What is the VXX 30-day expected price range?
As of Aug 28, 2026, with VXX at $18.30 and ATM IV at 51.8%, the implied 30-day one-standard-deviation range is approximately ±$2.72, or about $15.58 to $21.02. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
What does VXX risk-neutral density tell us?
Risk-neutral density is the probability distribution of future VXX price implied by listed option prices. Extracted via Breeden-Litzenberger (twice-differentiating the call price function with respect to strike), it represents the pricing kernel rather than the real-world probability of outcomes. Persistent skew or fat-tail features in the density reflect how the market is pricing tail risk.
How does VXX ATM IV translate to a probability range?
ATM IV is annualized; multiplying by sqrt(t/365) scales it to the chosen tenor. Under lognormal assumptions, the resulting standard deviation defines the ±1σ band that contains roughly 68% of outcomes, ±2σ for 95%. Empirical equity returns have fatter tails than log-normal, so the implied tail probabilities under-state realized tail frequency in stressed regimes.