thetaOwl

QQQ

Invesco QQQ TrustClose $717.54EOD only
Max Pain
$712.00
Next expiry May 26, 2026
Expected Move
±$7.45
1.0% from close
Price Gap
-5.54
Distance to max pain
IV Rank
64
High premium
P/C OI
1.71
Slightly put-heavy
Consensus
5.5/10
Range bias
Published snapshot: May 22, 2026 close
End-of-day snapshot

This page reflects QQQ options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.

Published Snapshot
May 22, 2026 close
QQQ AI Consensus Report
Analysis based on market close May 26, 2026

Historical consensus-supported lens with full content, report chain context, and metric rail.

Conviction
9.0

out of 10

9 out of 10 because all three perspectives have high confidence (9/10) and no contradictory signals, but the heavy put volume ratio (1.16) indicates institutional hedging that may limit upside acceleration, preventing a 10.

Where Perspectives Agree

All personas confirm bullish bias with pinning near $717 max pain, supported by positive dealer gamma, normal vol, and upside call activity.

Where They Diverge

No major conflicts; theta's short put spreads and directional's bull call spreads align on bullish drift, though flow notes heavy put hedging that may cap upside but does not contradict thesis.

Top Trade
via directional

Buy 2026-06-18 $728/$760 bull call spread for $2.50 debit — defined risk, targets $736-$744 resistance, aligns with directional drift.

Key Risk

QQQ closing below $717 (max pain) flips dealer gamma from short to long, removing pinning support and accelerating downside toward $700.

How to Use These Reports
This ai consensus reflects the market close on May 26, 2026.
What the reports do

Each report translates the same market-close options snapshot into a specific lens such as directional bias, premium-selling posture, flow quality, or earnings setup.

How traders use them

Reports are most useful for narrowing the playbook, surfacing entry and risk context, and deciding which raw data page to inspect next.

What to remember

These are interpretation layers, not execution guarantees. Validate the setup against chain liquidity, expected move, and exposure before sizing risk.

If the report conviction and the raw data disagree, slow down and resolve the mismatch before sizing risk.