What is the W 30-day expected price range?

As of May 29, 2026, with W at $72.83 and ATM IV at 67.8%, the implied 30-day one-standard-deviation range is approximately ±$14.16, or about $58.67 to $86.99.

What does W risk-neutral density tell us?

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

Wayfair Inc. (W) 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.

Wayfair Inc. (W) operates in the Consumer Cyclical sector, specifically the Specialty Retail industry, with a market capitalization near $8.85B, listed on NYSE, employing roughly 12,100 people, carrying a beta of 3.02 to the broader market. Wayfair Inc. Led by Niraj S. Shah, public since 2014-10-02.

Snapshot as of May 29, 2026.

Spot Price: $72.83
ATM IV: 67.8%
IV Rank: 42.0%
IV Percentile: 57.9%
HV 20-Day: 64.5%
IV Skew 25Δ: 0.035

As of May 29, 2026, Wayfair Inc. (W) at $72.83 has an ATM IV of 67.8%, implying a 30-day one-standard-deviation range of approximately ±$14.16. IV rank is 42.0% (near its 1-year median). IV percentile is 57.9%. 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 W probability analysis Data Feeds Strategy Selection

Strategy selection on Wayfair Inc. 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 67.8% 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 W probability distribution

The probability cone above is the option-market-implied distribution of where Wayfair Inc. 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 67.8% and spot at $72.83, the 1σ band is approximately ±23.4% over a 30-day horizon. Recent realized HV-20 of 64.5% runs 3.3 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.

W 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 W 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. 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 →

Frequently asked W probability analysis questions

What is the W 30-day expected price range?: As of May 29, 2026, with W at $72.83 and ATM IV at 67.8%, the implied 30-day one-standard-deviation range is approximately ±$14.16, or about $58.67 to $86.99.
What does W risk-neutral density tell us?: Risk-neutral density is the probability distribution of future W 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 W 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.