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 $814.49B, 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 Oct 14, 2026.
- Spot Price
- $768.70
- ATM IV
- 13.5%
- IV Rank
- 16.4%
- IV Percentile
- 40.5%
- HV 20-Day
- 11.5%
- IV Skew 25Δ
- 0.050
As of Oct 14, 2026, State Street SPDR S&P 500 ETF (SPY) at $768.70 has an ATM IV of 13.5%, implying a 30-day one-standard-deviation range of approximately ±$29.75. IV rank is 16.4% (subdued, distribution priced tighter than usual). IV percentile is 40.5%. The 25-delta skew is +0.050: 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 13.5% 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 13.5% and spot at $768.70, the 1σ band is approximately ±4.7% over a 30-day horizon. Recent realized HV-20 of 11.5% runs 2.0 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 16.4%, 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 | $772.00 | Oct 16, 2026 | 31.2K | 52.2K | 13.9% | $4.90 | $4.91 |
| CALL | $768.00 | Oct 15, 2026 | 35.9K | 163 | 15.4% | $2.90 | $2.91 |
| CALL | $773.00 | Oct 15, 2026 | 70.7K | 417 | 14.5% | $0.82 | $0.83 |
| PUT | $770.00 | Oct 16, 2026 | 62.3K | 29.3K | 14.4% | $3.79 | $3.80 |
| PUT | $765.00 | Oct 16, 2026 | 48.7K | 31.6K | 15.9% | $1.93 | $1.94 |
| CALL | $767.00 | Oct 15, 2026 | 17.3K | 116 | 15.7% | $3.53 | $3.54 |
| PUT | $773.00 | Oct 16, 2026 | 21.3K | 26.5K | 13.8% | $5.53 | $5.57 |
| PUT | $751.00 | Oct 20, 2026 | 12.9K | 113 | 15.2% | $0.78 | $0.79 |
| CALL | $774.00 | Oct 15, 2026 | 47.3K | 598 | 14.5% | $0.61 | $0.62 |
| PUT | $755.00 | Oct 30, 2026 | 5.7K | 87.9K | 15.4% | $4.03 | $4.07 |
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 Oct 14, 2026, with SPY at $768.70 and ATM IV at 13.5%, the implied 30-day one-standard-deviation range is approximately ±$29.75, or about $738.95 to $798.45. 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.