State Street SPDR S&P 500 ETF Trust (SPY) 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 500 ETF Trust (SPY) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $770.72B, listed on AMEX, carrying a beta of 1.00 to the broader market. The State Street SPDR S&P 500 ETF Trust seeks to provide investment results that, before expenses, correspond generally to the price and yield performance of the S&P 500 Index (the “Index”)The S&P 500 Index is a diversified large cap U. public since 1993-01-29.

Snapshot as of May 29, 2026.

Spot Price

$757.30

ATM IV

12.8%

IV Rank

11.5%

IV Percentile

16.7%

HV 20-Day

9.8%

IV Skew 25Δ

0.036

As of May 29, 2026, State Street SPDR S&P 500 ETF Trust (SPY) at $757.30 has an ATM IV of 12.8%, implying a 30-day one-standard-deviation range of approximately ±$27.68. IV rank is 11.5% (subdued, distribution priced tighter than usual). IV percentile is 16.7%. The 25-delta skew is +0.036: 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 SPY probability analysis Data Feeds Strategy Selection

Strategy selection on State Street SPDR S&P 500 ETF Trust 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 12.8% 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 SPY probability distribution

The probability cone above is the option-market-implied distribution of where State Street SPDR S&P 500 ETF Trust 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 12.8% and spot at $757.30, the 1σ band is approximately ±4.4% over a 30-day horizon. Recent realized HV-20 of 9.8% runs 2.9 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

SPY 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 SPY 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 SPY IV rank at 11.5%, 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 →

SPY highest implied-volatility contracts

Top 10 contracts from the institutional-grade nightly options scan; ranked by iv within the broader S&P 500/400/600 + ETF universe.

Frequently asked SPY probability analysis questions

What is the SPY 30-day expected price range?

As of May 29, 2026, with SPY at $757.30 and ATM IV at 12.8%, the implied 30-day one-standard-deviation range is approximately ±$27.68, or about $729.62 to $784.98. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.

What does SPY risk-neutral density tell us?

Risk-neutral density is the probability distribution of future SPY 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 SPY 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.