ProShares - UltraPro Short Russell2000 (SRTY) 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 - UltraPro Short Russell2000 (SRTY) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $81.0M, listed on AMEX, carrying a beta of -3.72 to the broader market. ProShares UltraPro Short Russell2000 seeks daily investment results, before fees and expenses, that correspond to three times the inverse (-3x) of the daily performance of the Russell 2000 Index. public since 2010-02-11.
Snapshot as of May 29, 2026.
- Spot Price
- $24.48
- ATM IV
- 61.5%
- IV Rank
- 11.6%
- IV Percentile
- 17.9%
- HV 20-Day
- 58.5%
- IV Skew 25Δ
- -0.102
As of May 29, 2026, ProShares - UltraPro Short Russell2000 (SRTY) at $24.48 has an ATM IV of 61.5%, implying a 30-day one-standard-deviation range of approximately ±$4.32. IV rank is 11.6% (subdued, distribution priced tighter than usual). IV percentile is 17.9%. The 25-delta skew is -0.102: 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 SRTY probability analysis Data Feeds Strategy Selection
Strategy selection on ProShares - UltraPro Short Russell2000 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 61.5% 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 SRTY probability distribution
The probability cone above is the option-market-implied distribution of where ProShares - UltraPro Short Russell2000 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 61.5% and spot at $24.48, the 1σ band is approximately ±21.2% over a 30-day horizon. Recent realized HV-20 of 58.5% runs 3.0 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.
SRTY 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. SRTY's put-skewed 25-delta surface (-0.102) 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 SRTY 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 SRTY IV rank at 11.6%, 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 SRTY probability analysis questions
- What is the SRTY 30-day expected price range?
- As of May 29, 2026, with SRTY at $24.48 and ATM IV at 61.5%, the implied 30-day one-standard-deviation range is approximately ±$4.32, or about $20.16 to $28.80. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does SRTY risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future SRTY 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 SRTY 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.