Invesco DB US Dollar Index Bullish Fund (UUP) 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.
Invesco DB US Dollar Index Bullish Fund (UUP) operates in the Financial Services sector, specifically the Asset Management - Leveraged industry, with a market capitalization near $162.2M, listed on AMEX, carrying a beta of -0.19 to the broader market. The Invesco DB US Dollar Index Bullish (Fund) seeks to track changes, whether positive or negative, in the level of the Deutsche Bank Long USD Currency Portfolio Index - Excess ReturnTM (DB Long USD Currency Portfolio Index ER or Index) plus the interest income from the Fund's holdings of primarily US Treasury securities and money market income less the Fund's expenses. public since 2007-03-01.
Snapshot as of May 29, 2026.
- Spot Price
- $27.68
- ATM IV
- 57.3%
- IV Rank
- 20.5%
- IV Percentile
- 97.2%
- HV 20-Day
- 4.0%
- IV Skew 25Δ
- 0.020
As of May 29, 2026, Invesco DB US Dollar Index Bullish Fund (UUP) at $27.68 has an ATM IV of 57.3%, implying a 30-day one-standard-deviation range of approximately ±$4.55. IV rank is 20.5% (subdued, distribution priced tighter than usual). IV percentile is 97.2%. The 25-delta skew is +0.020: roughly symmetric wings. 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 UUP probability analysis Data Feeds Strategy Selection
Strategy selection on Invesco DB US Dollar Index Bullish Fund 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 57.3% 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 UUP probability distribution
The probability cone above is the option-market-implied distribution of where Invesco DB US Dollar Index Bullish Fund 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 57.3% and spot at $27.68, the 1σ band is approximately ±19.8% over a 30-day horizon. Recent realized HV-20 of 4.0% runs 53.3 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.
UUP 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. 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 UUP 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 UUP IV rank at 20.5%, 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 →
Frequently asked UUP probability analysis questions
- What is the UUP 30-day expected price range?
- As of May 29, 2026, with UUP at $27.68 and ATM IV at 57.3%, the implied 30-day one-standard-deviation range is approximately ±$4.55, or about $23.13 to $32.23. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does UUP risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future UUP 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 UUP 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.