What is the DAT 30-day expected price range?

As of May 29, 2026, with DAT at $44.78 and ATM IV at 34.0%, the implied 30-day one-standard-deviation range is approximately ±$4.36, or about $40.42 to $49.14. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.

What does DAT risk-neutral density tell us?

Risk-neutral density is the probability distribution of future DAT 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 DAT 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.

ProShares - Big Data Refiners ETF (DAT) 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 - Big Data Refiners ETF (DAT) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $5.2M, listed on AMEX, carrying a beta of 1.14 to the broader market. The fund invests in securities that ProShare Advisors believes, in combination, should track the performance of the index. public since 2021-09-30.

Snapshot as of May 29, 2026.

Spot Price: $44.78
ATM IV: 34.0%
IV Rank: 20.0%
IV Percentile: 52.4%
HV 20-Day: 44.0%
IV Skew 25Δ: 0.048

As of May 29, 2026, ProShares - Big Data Refiners ETF (DAT) at $44.78 has an ATM IV of 34.0%, implying a 30-day one-standard-deviation range of approximately ±$4.36. IV rank is 20.0% (subdued, distribution priced tighter than usual). IV percentile is 52.4%. The 25-delta skew is +0.048: upside tail priced richer than downside, biasing probability mass above 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 DAT probability analysis Data Feeds Strategy Selection

Strategy selection on ProShares - Big Data Refiners 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 34.0% 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 DAT probability distribution

The probability cone above is the option-market-implied distribution of where ProShares - Big Data Refiners 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 34.0% and spot at $44.78, the 1σ band is approximately ±11.7% over a 30-day horizon. Recent realized HV-20 of 44.0% runs 10.0 vol points above current implied, an inverted regime where premium buyers are underpaying.

DAT 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 DAT 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 DAT IV rank at 20.0%, 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 DAT probability analysis questions

What is the DAT 30-day expected price range?: As of May 29, 2026, with DAT at $44.78 and ATM IV at 34.0%, the implied 30-day one-standard-deviation range is approximately ±$4.36, or about $40.42 to $49.14. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
What does DAT risk-neutral density tell us?: Risk-neutral density is the probability distribution of future DAT 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 DAT 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.