Invesco QQQ Trust, Series 1 (QQQ) 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.

Invesco QQQ Trust, Series 1 (QQQ) operates in the Financial Services sector, specifically the Asset Management industry, with a market capitalization near $510.48B, listed on NASDAQ, carrying a beta of 1.23 to the broader market. Managed by Invesco, the Invesco QQQ Trust, Series 1 functions as an exchange-traded fund (ETF) that commenced operations on March 10, 1999. public since 1999-03-10.

Snapshot as of Aug 28, 2026.

Spot Price

$716.25

ATM IV

16.8%

IV Rank

15.7%

IV Percentile

10.7%

HV 20-Day

18.1%

IV Skew 25Δ

0.042

As of Aug 28, 2026, Invesco QQQ Trust, Series 1 (QQQ) at $716.25 has an ATM IV of 16.8%, implying a 30-day one-standard-deviation range of approximately ±$34.50. IV rank is 15.7% (subdued, distribution priced tighter than usual). IV percentile is 10.7%. The 25-delta skew is +0.042: 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 QQQ probability analysis Data Feeds Strategy Selection

Strategy selection on Invesco QQQ Trust, Series 1 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 16.8% 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 QQQ probability distribution

The probability cone above is the option-market-implied distribution of where Invesco QQQ Trust, Series 1 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 16.8% and spot at $716.25, the 1σ band is approximately ±5.8% over a 30-day horizon. Recent realized HV-20 of 18.1% runs 1.3 vol points above current implied, an inverted regime where premium buyers are underpaying.

QQQ 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 QQQ 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 QQQ IV rank at 15.7%, 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 →

QQQ highest implied-volatility contracts

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 QQQ probability analysis questions

What is the QQQ 30-day expected price range?

As of Aug 28, 2026, with QQQ at $716.25 and ATM IV at 16.8%, the implied 30-day one-standard-deviation range is approximately ±$34.50, or about $681.75 to $750.75. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.

What does QQQ risk-neutral density tell us?

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