thetaOwl

QQQ

Invesco QQQ TrustClose $706.52EOD only
Max Pain
$723.00
Next expiry Jun 29, 2026
Expected Move
±$10.71
1.5% from close
Price Gap
+16.48
Distance to max pain
IV Rank
28
Middle-high premium
P/C OI
1.48
Slightly put-heavy
Consensus
6.5/10
Bearish tilt
Published snapshot: Jun 26, 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
Jun 26, 2026 close
QQQ AI Consensus Report
Analysis based on market close May 13, 2026

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

You are viewing an older report from May 13, 2026. A newer ai consensus report is available for June 26, 2026.

View latest report
Conviction
9.0

out of 10

9 not 10 because flow verdict is 'mixed' with hedging that could introduce volatility if spot breaks below the hedging zone, but all three confidence ratings are 9.0 and alignment is strong.

Where Perspectives Agree

Bullish pin to $715 with dealer gamma support — all personas reinforce the thesis.

Where They Diverge

No major conflicts; flow shows heavy put hedging at 705-715 but that aligns with pinning, not a contrary signal.

Top Trade
via theta

Sell 2026-06-18 $693/$662 put spread for $4.50 credit — defined risk, benefits from pin, expires after theta decay.

Key Risk

Break below $700 support invalidates the pin — flips dealer gamma from support to resistance, accelerating downside toward $660.

How to Use These Reports
This ai consensus reflects the market close on May 13, 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.