ProShares - Ultra VIX Short-Term Futures ETF (UVXY) 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.
ProShares - Ultra VIX Short-Term Futures ETF (UVXY) operates in the Financial Services sector, specifically the Asset Management - Leveraged industry, with a market capitalization near $99.4M, listed on CBOE, carrying a beta of -3.29 to the broader market. The ProShares Ultra VIX Short-Term Futures ETF aims to deliver daily investment outcomes, prior to the deduction of fees and expenses, that are one-and-a-half times (1. public since 2011-10-04.
Snapshot as of Oct 14, 2026.
- Spot Price
- $16.80
- ATM IV
- 87.6%
- IV Rank
- 16.5%
- IV Percentile
- 42.9%
- HV 20-Day
- 47.8%
- IV Skew 25Δ
- -0.375
As of Oct 14, 2026, ProShares - Ultra VIX Short-Term Futures ETF (UVXY) at $16.80 has an ATM IV of 87.6%, implying a 30-day one-standard-deviation range of approximately ±$4.22. IV rank is 16.5% (subdued, distribution priced tighter than usual). IV percentile is 42.9%. The 25-delta skew is -0.375: 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 UVXY probability analysis Data Feeds Strategy Selection
Strategy selection on ProShares - Ultra VIX Short-Term Futures ETF 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 87.6% 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 UVXY probability distribution
The probability cone above is the option-market-implied distribution of where ProShares - Ultra VIX Short-Term Futures ETF 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 87.6% and spot at $16.80, the 1σ band is approximately ±30.2% over a 30-day horizon. Recent realized HV-20 of 47.8% runs 39.8 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.
UVXY 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. UVXY's put-skewed 25-delta surface (-0.375) 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 UVXY 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 UVXY IV rank at 16.5%, 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 →
UVXY highest implied-volatility contracts
| Type | Strike | Expiration | Volume | OI | IV | Bid | Ask |
|---|---|---|---|---|---|---|---|
| CALL | $110.00 | Jan 15, 2027 | 0 | 940 | 272.8% | $0.16 | $0.42 |
| CALL | $111.00 | Jan 15, 2027 | 6 | 1.0K | 272.3% | $0.19 | $0.32 |
| CALL | $100.00 | Jan 15, 2027 | 1 | 945 | 264.4% | $0.25 | $0.64 |
| PUT | $100.00 | Jan 15, 2027 | 0 | 522 | 264.4% | $81.60 | $85.40 |
| CALL | $75.00 | Jan 15, 2027 | 0 | 294 | 226.0% | $0.01 | $0.80 |
Top 5 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.
Frequently asked UVXY probability analysis questions
- What is the UVXY 30-day expected price range?
- As of Oct 14, 2026, with UVXY at $16.80 and ATM IV at 87.6%, the implied 30-day one-standard-deviation range is approximately ±$4.22, or about $12.58 to $21.02. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does UVXY risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future UVXY 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 UVXY 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.