Sprott Active Gold & Silver Miners ETF (GBUG) 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.
Sprott Active Gold & Silver Miners ETF (GBUG) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $77.4M, listed on NASDAQ, carrying a beta of 0.14 to the broader market. The fund seeks to achieve its investment objective by investing 80% of its net assets in shares of gold and silver, focused companies that are engaged in exploring, developing and mining; or royalty and streaming companies engaged in the financing of gold and silver assets. public since 2025-02-20.
Snapshot as of Aug 28, 2026.
- Spot Price
- $52.40
- ATM IV
- 49.8%
- IV Rank
- 5.4%
- IV Percentile
- 16.7%
- HV 20-Day
- 48.1%
- IV Skew 25Δ
- -0.160
As of Aug 28, 2026, Sprott Active Gold & Silver Miners ETF (GBUG) at $52.40 has an ATM IV of 49.8%, implying a 30-day one-standard-deviation range of approximately ±$7.48. IV rank is 5.4% (subdued, distribution priced tighter than usual). IV percentile is 16.7%. The 25-delta skew is -0.160: 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 GBUG probability analysis Data Feeds Strategy Selection
Strategy selection on Sprott Active Gold & Silver Miners 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 49.8% 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 GBUG probability distribution
The probability cone above is the option-market-implied distribution of where Sprott Active Gold & Silver Miners 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 49.8% and spot at $52.40, the 1σ band is approximately ±17.2% over a 30-day horizon. Recent realized HV-20 of 48.1% runs 1.7 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.
GBUG 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. GBUG's put-skewed 25-delta surface (-0.160) 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 GBUG 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 GBUG IV rank at 5.4%, 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 GBUG probability analysis questions
- What is the GBUG 30-day expected price range?
- As of Aug 28, 2026, with GBUG at $52.40 and ATM IV at 49.8%, the implied 30-day one-standard-deviation range is approximately ±$7.48, or about $44.92 to $59.88. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does GBUG risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future GBUG 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 GBUG 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.