State Street SPDR S&P 500 ETF (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 (SPY) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $819.54B, listed on AMEX, carrying a beta of 1.01 to the broader market. SPY is the best-recognized and oldest US listed ETF and typically tops rankings for largest AUM and greatest trading volume. public since 1993-01-22.

Snapshot as of Aug 28, 2026.

Spot Price
$769.35
ATM IV
11.6%
IV Rank
4.7%
IV Percentile
4.4%
HV 20-Day
12.1%
IV Skew 25Δ
0.035

As of Aug 28, 2026, State Street SPDR S&P 500 ETF (SPY) at $769.35 has an ATM IV of 11.6%, implying a 30-day one-standard-deviation range of approximately ±$25.67. IV rank is 4.7% (subdued, distribution priced tighter than usual). IV percentile is 4.4%. The 25-delta skew is +0.035: 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 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 11.6% 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 SPY probability distribution

The probability cone above is the option-market-implied distribution of where State Street SPDR S&P 500 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 11.6% and spot at $769.35, the 1σ band is approximately ±4.0% over a 30-day horizon. Recent realized HV-20 of 12.1% runs 0.5 vol points above current implied, an inverted regime where premium buyers are underpaying.

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 4.7%, 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 implied volatility by strike, top contracts ranked by IV in the nightly options scanSPY Implied Volatility Skew (Top Contracts)10%15%20%25%30%35%$500$550$600$650$700$750$800Strike ($)Implied VolatilityCall IVPut IV
Chart aggregates top-ranked contracts by strike from the institutional-grade nightly options scan. Sparse coverage on long-tail tickers reflects the scan's S&P 500/400/600 + ETF focus.

SPY highest implied-volatility contracts

TypeStrikeExpirationVolumeOIIVBidAsk
PUT$761.00Sep 30, 202622.1K20812.6%$7.56$7.59
PUT$765.00Sep 4, 202630.0K52.5K10.6%$2.44$2.46
PUT$580.00Sep 11, 202618.1K19123.8%$0.03$0.04
PUT$770.00Aug 31, 202673.9K13.4K6.5%$2.12$2.13
PUT$720.00Sep 3, 20267.7K10514.4%$0.05$0.06
PUT$770.00Aug 31, 202673.9K13.4K6.5%$2.12$2.13
CALL$772.00Aug 31, 202672.0K4.3K6.2%$0.73$0.74
CALL$775.00Aug 31, 202670.1K5.1K6.0%$0.17$0.18
CALL$770.00Aug 31, 202660.6K10.5K6.5%$1.53$1.54
PUT$760.00Aug 31, 202625.7K37.0K8.8%$0.15$0.16

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 Aug 28, 2026, with SPY at $769.35 and ATM IV at 11.6%, the implied 30-day one-standard-deviation range is approximately ±$25.67, or about $743.68 to $795.02. 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.