Direxion Daily Robotics, Artificial Intelligence & Automation Index Bull 2X ETF (UBOT) 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.
Direxion Daily Robotics, Artificial Intelligence & Automation Index Bull 2X ETF (UBOT) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $48.7M, listed on AMEX, carrying a beta of 3.17 to the broader market. The Daily Robotics, Artificial Intelligence & Automation Index Bull 2X ETF seeks daily investment results, before fees and expenses, of 200% of the performance of the Indxx Global Robotics and Artificial Intelligence Thematic Index. public since 2018-04-19.
Snapshot as of May 29, 2026.
- Spot Price
- $29.74
- ATM IV
- 50.1%
- IV Rank
- 5.8%
- IV Percentile
- 57.9%
- HV 20-Day
- 52.8%
- IV Skew 25Δ
- 0.037
As of May 29, 2026, Direxion Daily Robotics, Artificial Intelligence & Automation Index Bull 2X ETF (UBOT) at $29.74 has an ATM IV of 50.1%, implying a 30-day one-standard-deviation range of approximately ±$4.27. IV rank is 5.8% (subdued, distribution priced tighter than usual). IV percentile is 57.9%. The 25-delta skew is +0.037: 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 UBOT probability analysis Data Feeds Strategy Selection
Strategy selection on Direxion Daily Robotics, Artificial Intelligence & Automation Index Bull 2X 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 50.1% 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 UBOT probability distribution
The probability cone above is the option-market-implied distribution of where Direxion Daily Robotics, Artificial Intelligence & Automation Index Bull 2X 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 50.1% and spot at $29.74, the 1σ band is approximately ±17.3% over a 30-day horizon. Recent realized HV-20 of 52.8% runs 2.7 vol points above current implied, an inverted regime where premium buyers are underpaying.
UBOT 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 UBOT 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 UBOT IV rank at 5.8%, 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 UBOT probability analysis questions
- What is the UBOT 30-day expected price range?
- As of May 29, 2026, with UBOT at $29.74 and ATM IV at 50.1%, the implied 30-day one-standard-deviation range is approximately ±$4.27, or about $25.47 to $34.01. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does UBOT risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future UBOT 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 UBOT 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.