thetaOwl

QQQ

Invesco QQQ TrustClose $740.61EOD only
Max Pain
$730.00
Next expiry Jun 5, 2026
Expected Move
±$5.53
0.8% from close
Price Gap
-10.61
Distance to max pain
IV Rank
62
High premium
P/C OI
1.71
Slightly put-heavy
Consensus
8.5/10
Range bias
Published snapshot: Jun 4, 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 4, 2026 close
QQQ AI Consensus Report
Analysis based on market close June 5, 2026

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

Conviction
7.5

out of 10

7.5 not higher because extreme put OI ratio (1.67) signals contrarian squeeze risk that could cap conviction; if spot breaks below 660, conviction would rise to 9.

Where Perspectives Agree

All three perspectives converge on bearish bias: negative dealer gamma, spot below max pain $735, and heavy put flow indicate downside pressure toward 680-685 support.

Where They Diverge

No significant conflicts — all personas agree on bearish structure with slight differences in trade timing (theta prefers waiting for vol compression).

Top Trade
via directional

Buy QQQ June 26 $705/$700 bear put spread for net debit — direct bearish position aligned with directional and flow thesis.

Key Risk

Break below $660 flips dealer gamma from negative to positive, removing downside acceleration and potentially triggering a gamma squeeze toward $680+.

How to Use These Reports
This ai consensus reflects the market close on June 5, 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.