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 $792.69B, listed on AMEX, carrying a beta of 1.00 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 1993-01-29.
Snapshot as of Jul 15, 2026.
- Spot Price
- $753.97
- ATM IV
- 12.9%
- IV Rank
- 12.4%
- IV Percentile
- 20.6%
- HV 20-Day
- 13.8%
- IV Skew 25Δ
- 0.044
As of Jul 15, 2026, State Street SPDR S&P 500 ETF (SPY) at $753.97 has an ATM IV of 12.9%, implying a 30-day one-standard-deviation range of approximately ±$27.88. IV rank is 12.4% (subdued, distribution priced tighter than usual). IV percentile is 20.6%. The 25-delta skew is +0.044: 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 12.9% 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 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 12.9% and spot at $753.97, the 1σ band is approximately ±4.5% over a 30-day horizon. Recent realized HV-20 of 13.8% runs 0.9 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 12.4%, 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 →
SPY highest implied-volatility contracts
| Type | Strike | Expiration | Volume | OI | IV | Bid | Ask |
|---|---|---|---|---|---|---|---|
| PUT | $734.00 | Jul 22, 2026 | 25.6K | 136 | 14.1% | $0.52 | $0.53 |
| PUT | $750.00 | Jul 17, 2026 | 49.4K | 57.6K | 12.3% | $1.13 | $1.14 |
| CALL | $755.00 | Jul 16, 2026 | 111.3K | 4.1K | 10.3% | $1.20 | $1.21 |
| CALL | $760.00 | Jul 17, 2026 | 52.2K | 54.0K | 9.6% | $0.39 | $0.40 |
| PUT | $754.00 | Jul 16, 2026 | 78.0K | 897 | 10.7% | $1.70 | $1.71 |
| CALL | $755.00 | Jul 17, 2026 | 55.1K | 24.5K | 10.6% | $1.99 | $2.00 |
| CALL | $754.00 | Jul 16, 2026 | 87.4K | 2.2K | 10.7% | $1.71 | $1.72 |
| CALL | $750.00 | Jul 17, 2026 | 15.3K | 37.0K | 12.3% | $5.31 | $5.36 |
| PUT | $550.00 | Jul 31, 2026 | 1 | 302.1K | 28.6% | $0.03 | $0.04 |
| PUT | $753.00 | Jul 16, 2026 | 78.2K | 2.4K | 11.2% | $1.30 | $1.32 |
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 Jul 15, 2026, with SPY at $753.97 and ATM IV at 12.9%, the implied 30-day one-standard-deviation range is approximately ±$27.88, or about $726.09 to $781.85. 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.