What is the SHAZ 30-day expected price range?

As of Jul 15, 2026, with SHAZ at $70.09 and ATM IV at 119.9%, the implied 30-day one-standard-deviation range is approximately ±$24.09, or about $46.00 to $94.18.

What does SHAZ risk-neutral density tell us?

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

SharonAI Holdings, Inc. Class A Common Stock (SHAZ) 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.

SharonAI Holdings, Inc. Class A Common Stock (SHAZ) operates in the Technology sector, specifically the Information Technology Services industry, with a market capitalization near $691.6M, listed on NASDAQ, employing roughly 25 people, carrying a beta of 6.08 to the broader market. SharonAI Holdings Inc. Led by James Edward Manning, public since 2025-12-18.

Snapshot as of Jul 15, 2026.

Spot Price: $70.09
ATM IV: 119.9%
HV 20-Day: 140.0%
IV Skew 25Δ: -0.115

As of Jul 15, 2026, SharonAI Holdings, Inc. Class A Common Stock (SHAZ) at $70.09 has an ATM IV of 119.9%, implying a 30-day one-standard-deviation range of approximately ±$24.09. The 25-delta skew is -0.115: downside tail priced richer than upside, biasing probability mass below 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 SHAZ probability analysis Data Feeds Strategy Selection

Strategy selection on SharonAI Holdings, Inc. Class A Common Stock 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 119.9% 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 SHAZ probability distribution

The probability cone above is the option-market-implied distribution of where SharonAI Holdings, Inc. Class A Common Stock 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 119.9% and spot at $70.09, the 1σ band is approximately ±41.4% over a 30-day horizon. Recent realized HV-20 of 140.0% runs 20.1 vol points above current implied, an inverted regime where premium buyers are underpaying.

SHAZ 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. SHAZ's put-skewed 25-delta surface (-0.115) means downside risk-neutral probabilities are higher than upside - the empirical bias is well-documented. 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 SHAZ 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 SHAZ probability analysis questions

What is the SHAZ 30-day expected price range?: As of Jul 15, 2026, with SHAZ at $70.09 and ATM IV at 119.9%, the implied 30-day one-standard-deviation range is approximately ±$24.09, or about $46.00 to $94.18.
What does SHAZ risk-neutral density tell us?: Risk-neutral density is the probability distribution of future SHAZ 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 SHAZ 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.