First Trust Dorsey Wright Momentum & Low Volatility ETF (DVOL) 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.
First Trust Dorsey Wright Momentum & Low Volatility ETF (DVOL) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $71.2M, listed on NASDAQ, carrying a beta of 0.60 to the broader market. First Trust Exchange-Traded Fund VI - First Trust Dorsey Wright Momentum & Low Volatility ETF is an exchange traded fund launched and managed by First Trust Advisors L. Led by Dave Butler Gerard O'Reilly, public since 2018-10-18.
Snapshot as of Jul 15, 2026.
- Spot Price
- $37.13
- ATM IV
- 36.4%
- IV Rank
- 10.1%
- IV Percentile
- 33.3%
- HV 20-Day
- 8.2%
- IV Skew 25Δ
- 0.007
As of Jul 15, 2026, First Trust Dorsey Wright Momentum & Low Volatility ETF (DVOL) at $37.13 has an ATM IV of 36.4%, implying a 30-day one-standard-deviation range of approximately ±$3.87. IV rank is 10.1% (subdued, distribution priced tighter than usual). IV percentile is 33.3%. The 25-delta skew is +0.007: 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 DVOL probability analysis Data Feeds Strategy Selection
Strategy selection on First Trust Dorsey Wright Momentum & Low Volatility 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 36.4% 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 DVOL probability distribution
The probability cone above is the option-market-implied distribution of where First Trust Dorsey Wright Momentum & Low Volatility 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 36.4% and spot at $37.13, the 1σ band is approximately ±12.6% over a 30-day horizon. Recent realized HV-20 of 8.2% runs 28.2 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.
DVOL 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 DVOL 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 DVOL IV rank at 10.1%, 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 DVOL probability analysis questions
- What is the DVOL 30-day expected price range?
- As of Jul 15, 2026, with DVOL at $37.13 and ATM IV at 36.4%, the implied 30-day one-standard-deviation range is approximately ±$3.87, or about $33.26 to $41.00. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does DVOL risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future DVOL 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 DVOL 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.