State Street SPDR S&P Semiconductor ETF (XSD) 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.
State Street SPDR S&P Semiconductor ETF (XSD) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $3.23B, listed on AMEX, carrying a beta of 2.46 to the broader market. The State Street SPDR S&P Semiconductor ETF seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of the S&P Semiconductor Select Industry Index (the "Index")Seeks to provide exposure to the semiconductors segment of the S&P TMI, which comprises the Semiconductors sub-industrySeeks to track a modified equal weighted index which provides the potential for unconcentrated industry exposure across large, mid and small cap stocksAllows investors to take strategic or tactical positions at a more targeted level than traditional sector based investing public since 2006-02-06.
Snapshot as of May 29, 2026.
- Spot Price
- $614.33
- ATM IV
- 53.4%
- IV Rank
- 86.2%
- IV Percentile
- 98.8%
- HV 20-Day
- 48.0%
- IV Skew 25Δ
- 0.052
As of May 29, 2026, State Street SPDR S&P Semiconductor ETF (XSD) at $614.33 has an ATM IV of 53.4%, implying a 30-day one-standard-deviation range of approximately ±$94.05. IV rank is 86.2% (elevated, distribution priced wider than typical). IV percentile is 98.8%. The 25-delta skew is +0.052: 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 XSD probability analysis Data Feeds Strategy Selection
Strategy selection on State Street SPDR S&P Semiconductor 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 53.4% and dealer gamma exposure is negative, so dealer hedging amplifies directional moves. 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 XSD probability distribution
The probability cone above is the option-market-implied distribution of where State Street SPDR S&P Semiconductor 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 53.4% and spot at $614.33, the 1σ band is approximately ±18.4% over a 30-day horizon. Recent realized HV-20 of 48.0% runs 5.4 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.
XSD 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 XSD 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 XSD IV rank at 86.2%, the chain is pricing fatter tails than recent realized history; sellers earn the gap on average. 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 XSD probability analysis questions
- What is the XSD 30-day expected price range?
- As of May 29, 2026, with XSD at $614.33 and ATM IV at 53.4%, the implied 30-day one-standard-deviation range is approximately ±$94.05, or about $520.28 to $708.38. IV rank is elevated, so the priced distribution is wider than the 1-year typical width.
- What does XSD risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future XSD 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 XSD 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.