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
54
Middle-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 22, 2026

Consensus-supported lens with chain history and key metrics in the rail.

Conviction
5.5

out of 10

5.5 not 7 because strong bearish flow undermines the bullish consensus; not 4 because GEX and vol still support pinning near current levels.

Where Perspectives Agree

All personas identify dealer gamma pinning near $710-$720, suggesting short-term price stability and support for mean-reversion trades.

Where They Diverge

Flow's aggressive put buying at 717-720 indicates bearish hedging, directly contradicting the bullish pin thesis from directional and theta.

Top Trade
via theta

Sell 2026-06-12 $710/$708 put credit spread for $0.65 credit

Key Risk

Break below $695 (theta invalidation) or sustained breach below $717 (flow bearish confirmation) would trigger downside acceleration to $700 support.

How to Use These Reports
This ai consensus reflects the market close on May 22, 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.