What is the J 30-day expected price range?

As of May 29, 2026, with J at $120.18 and ATM IV at 35.8%, the implied 30-day one-standard-deviation range is approximately ±$12.33, or about $107.85 to $132.51.

What does J risk-neutral density tell us?

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

Jacobs Solutions Inc. (J) 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.

Jacobs Solutions Inc. (J) operates in the Industrials sector, specifically the Engineering & Construction industry, with a market capitalization near $13.69B, listed on NYSE, employing roughly 45,000 people, carrying a beta of 0.71 to the broader market. Jacobs Solutions Inc. Led by Robert V. Pragada, public since 1980-03-17.

Snapshot as of May 29, 2026.

Spot Price: $120.18
ATM IV: 35.8%
IV Rank: 61.2%
IV Percentile: 86.1%
HV 20-Day: 54.3%
IV Skew 25Δ: 0.010

As of May 29, 2026, Jacobs Solutions Inc. (J) at $120.18 has an ATM IV of 35.8%, implying a 30-day one-standard-deviation range of approximately ±$12.33. IV rank is 61.2% (near its 1-year median). IV percentile is 86.1%. The 25-delta skew is +0.010: roughly symmetric wings. 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 J probability analysis Data Feeds Strategy Selection

Strategy selection on Jacobs Solutions 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 35.8% 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 J probability distribution

The probability cone above is the option-market-implied distribution of where Jacobs Solutions 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 35.8% and spot at $120.18, the 1σ band is approximately ±12.4% over a 30-day horizon. Recent realized HV-20 of 54.3% runs 18.5 vol points above current implied, an inverted regime where premium buyers are underpaying.

J 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 J 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 J probability analysis questions

What is the J 30-day expected price range?: As of May 29, 2026, with J at $120.18 and ATM IV at 35.8%, the implied 30-day one-standard-deviation range is approximately ±$12.33, or about $107.85 to $132.51.
What does J risk-neutral density tell us?: Risk-neutral density is the probability distribution of future J 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 J 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.