thetaOwl

QQQ

Invesco QQQ TrustClose $744.00EOD only
Max Pain
$717.00
Next expiry Jun 16, 2026
Expected Move
±$6.82
0.9% from close
Price Gap
-27.00
Distance to max pain
IV Rank
100
High premium
P/C OI
1.59
Slightly put-heavy
Consensus
7.5/10
Bullish tilt
Published snapshot: Jun 15, 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 15, 2026 close
QQQ AI Consensus Report
Analysis based on market close June 16, 2026

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

Conviction
8.5

out of 10

8.5 not 9 because mixed flow (positive DEX vs negative GEX) and lottery call volume introduce slight uncertainty, though core bearish alignment is strong.

Where Perspectives Agree

Both personas agree QQQ is bearish with downside momentum towards 713-720, supported by negative dealer gamma, heavy put flow, and spot below max pain.

Where They Diverge

No material conflicts; flow confirms directional bearish thesis without contradicting signals.

Top Trade
via directional

Buy 2026-07-02 $717.00/$696.00 bear put spread for $10.50 debit.

Key Risk

A bounce back above max pain (~$725) flips dealer gamma positive, removing downside pressure and accelerating a reversal towards $740+.

How to Use These Reports
This ai consensus reflects the market close on June 16, 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.