First Trust NASDAQ-100 Ex-Technology Sector Index Fund (QQXT) 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.
First Trust NASDAQ-100 Ex-Technology Sector Index Fund (QQXT) operates in the Financial Services sector, specifically the Asset Management - Global industry, with a market capitalization near $1.09B, listed on NASDAQ, carrying a beta of 0.67 to the broader market. The First Trust NASDAQ-100 Ex-Technology Sector Index Fund is an exchange-traded fund designed to mirror the financial performance of the Nasdaq-100 Ex-Tech Sector Index. public since 2007-05-07.
Snapshot as of Jul 15, 2026.
- Spot Price
- $98.50
- ATM IV
- 13.4%
- IV Rank
- 1.0%
- IV Percentile
- 34.9%
- HV 20-Day
- 12.8%
- IV Skew 25Δ
- 0.018
As of Jul 15, 2026, First Trust NASDAQ-100 Ex-Technology Sector Index Fund (QQXT) at $98.50 has an ATM IV of 13.4%, implying a 30-day one-standard-deviation range of approximately ±$3.78. IV rank is 1.0% (subdued, distribution priced tighter than usual). IV percentile is 34.9%. The 25-delta skew is +0.018: 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 QQXT probability analysis Data Feeds Strategy Selection
Strategy selection on First Trust NASDAQ-100 Ex-Technology Sector Index Fund 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 13.4% 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 QQXT probability distribution
The probability cone above is the option-market-implied distribution of where First Trust NASDAQ-100 Ex-Technology Sector Index Fund 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 13.4% and spot at $98.50, the 1σ band is approximately ±4.6% over a 30-day horizon. Recent realized HV-20 of 12.8% runs 0.6 vol points below the current implied, suggesting the chain is pricing more dispersion than the underlying has been delivering.
QQXT 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 QQXT 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 QQXT IV rank at 1.0%, 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 →
Frequently asked QQXT probability analysis questions
- What is the QQXT 30-day expected price range?
- As of Jul 15, 2026, with QQXT at $98.50 and ATM IV at 13.4%, the implied 30-day one-standard-deviation range is approximately ±$3.78, or about $94.72 to $102.28. IV rank is subdued, so the priced distribution is tighter than the 1-year typical width.
- What does QQXT risk-neutral density tell us?
- Risk-neutral density is the probability distribution of future QQXT 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 QQXT 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.