Direxion Daily S&P Oil & Gas Exp. & Prod. Bull 2X ETF (GUSH) 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 S&P Oil & Gas Exp. & Prod. Bull 2X ETF (GUSH) operates in the Financial Services sector, specifically the Asset Management - Leveraged industry, with a market capitalization near $313.1M, listed on AMEX, carrying a beta of 0.01 to the broader market. The Direxion Daily S&P Oil & Gas Exploration & Production Bull and Bear 2X ETFs aim to generate daily returns that, prior to considering fees and expenses, equate to double (200%) the performance, or double (200%) the inverse performance, of the S&P Oil & Gas Exploration & Production Select Industry Index. public since 2015-05-29.

Snapshot as of Jul 16, 2026.

Spot Price
$35.53
ATM IV
61.5%
IV Rank
38.4%
IV Percentile
57.5%
HV 20-Day
48.7%
IV Skew 25Δ
-0.007

As of Jul 16, 2026, Direxion Daily S&P Oil & Gas Exp. & Prod. Bull 2X ETF (GUSH) at $35.53 has an ATM IV of 61.5%, implying a 30-day one-standard-deviation range of approximately ±$6.26. IV rank is 38.4% (near its 1-year median). IV percentile is 57.5%. 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 GUSH probability analysis Data Feeds Strategy Selection

Strategy selection on Direxion Daily S&P Oil & Gas Exp. & Prod. 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 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 GUSH probability distribution

The probability cone above is the option-market-implied distribution of where Direxion Daily S&P Oil & Gas Exp. & Prod. 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 61.5% and spot at $35.53, the 1σ band is approximately ±21.2% over a 30-day horizon. Recent realized HV-20 of 48.7% runs 12.8 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

GUSH 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 GUSH 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. 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 GUSH probability analysis questions

What is the GUSH 30-day expected price range?
As of Jul 16, 2026, with GUSH at $35.53 and ATM IV at 61.5%, the implied 30-day one-standard-deviation range is approximately ±$6.26, or about $29.27 to $41.79.
What does GUSH risk-neutral density tell us?
Risk-neutral density is the probability distribution of future GUSH 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 GUSH 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.