State Street SPDR S&P Health Care Services ETF (XHS) 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 Health Care Services ETF (XHS) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $84.6M, listed on AMEX, carrying a beta of 1.10 to the broader market. The State Street SPDR S&P Health Care Services ETF seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of S&P Health Care Services Select Industry Index (the "Index")Seeks to provide exposure to health care services segment of the S&P TMI, which comprises the following sub-industries: Health Care Distributors, Health Care Facilities, Health Care Services, and Managed Health CareSeeks 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 2011-09-29.
Snapshot as of May 29, 2026.
- Spot Price
- $114.80
- ATM IV
- 58.5%
- IV Rank
- 9.5%
- IV Percentile
- 98.0%
- HV 20-Day
- 16.8%
- IV Skew 25Δ
- 0.011
As of May 29, 2026, State Street SPDR S&P Health Care Services ETF (XHS) at $114.80 has an ATM IV of 58.5%, implying a 30-day one-standard-deviation range of approximately ±$19.25. IV rank is 9.5% (subdued, distribution priced tighter than usual). IV percentile is 98.0%. The 25-delta skew is +0.011: 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 XHS probability analysis Data Feeds Strategy Selection
Strategy selection on State Street SPDR S&P Health Care Services 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 58.5% 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 XHS probability distribution
The probability cone above is the option-market-implied distribution of where State Street SPDR S&P Health Care Services 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 58.5% and spot at $114.80, the 1σ band is approximately ±20.2% over a 30-day horizon. Recent realized HV-20 of 16.8% runs 41.7 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.
XHS 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 XHS 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 XHS IV rank at 9.5%, 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 XHS probability analysis questions
- What is the XHS 30-day expected price range?
- As of May 29, 2026, with XHS at $114.80 and ATM IV at 58.5%, the implied 30-day one-standard-deviation range is approximately ±$19.25, or about $95.55 to $134.05. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does XHS risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future XHS 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 XHS 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.