thetaOwl

QQQ

Invesco QQQ TrustClose $721.34EOD only
Max Pain
$715.00
Next expiry Jun 15, 2026
Expected Move
±$10.27
1.4% from close
Price Gap
-6.34
Distance to max pain
IV Rank
90
High premium
P/C OI
1.55
Slightly put-heavy
Consensus
9.0/10
Bullish tilt
Published snapshot: Jun 12, 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 12, 2026 close
QQQ AI Consensus Report
Analysis based on market close June 15, 2026

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

Conviction
7.5

out of 10

7.5 not 8.5 because while all three are aligned, the proximity to gamma flip at $740 and mean-reversion risk to $717 reduce the conviction. A break below $740 could rapidly invalidate all bullish positions.

Where Perspectives Agree

All three personas converge on a bullish pin near 740-745, supported by dealer gamma and positive flow, despite spot being above max pain.

Where They Diverge

Directional's mean-reversion risk (retrace to $717) directly undermines Theta's short put spread thesis, which relies on support above $717. Flow's identification of the 740 put cluster as a gamma flip area introduces fragility at current levels.

Top Trade
via theta

Sell 2026-07-10 $720/$716 put credit spread for $1.20 credit

Key Risk

Break below $717 (max pain) flips dealer gamma long and triggers downside acceleration toward $689 or lower.

How to Use These Reports
This ai consensus reflects the market close on June 15, 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.