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 highest implied-volatility contracts
| Type | Strike | Expiration | Volume | OI | IV | Bid | Ask |
|---|---|---|---|---|---|---|---|
| PUT | $761.00 | Sep 30, 2026 | 22.1K | 208 | 12.6% | $7.56 | $7.59 |
| PUT | $765.00 | Sep 4, 2026 | 30.0K | 52.5K | 10.6% | $2.44 | $2.46 |
| PUT | $580.00 | Sep 11, 2026 | 18.1K | 191 | 23.8% | $0.03 | $0.04 |
| PUT | $770.00 | Aug 31, 2026 | 73.9K | 13.4K | 6.5% | $2.12 | $2.13 |
| PUT | $720.00 | Sep 3, 2026 | 7.7K | 105 | 14.4% | $0.05 | $0.06 |
| PUT | $770.00 | Aug 31, 2026 | 73.9K | 13.4K | 6.5% | $2.12 | $2.13 |
| CALL | $772.00 | Aug 31, 2026 | 72.0K | 4.3K | 6.2% | $0.73 | $0.74 |
| CALL | $775.00 | Aug 31, 2026 | 70.1K | 5.1K | 6.0% | $0.17 | $0.18 |
| CALL | $770.00 | Aug 31, 2026 | 60.6K | 10.5K | 6.5% | $1.53 | $1.54 |
| PUT | $760.00 | Aug 31, 2026 | 25.7K | 37.0K | 8.8% | $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.