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QQQ

Invesco QQQ TrustClose $740.62EOD only
Max Pain
$732.00
Next expiry Jun 22, 2026
Expected Move
±$8.89
1.2% from close
Price Gap
-8.62
Distance to max pain
IV Rank
100
High premium
P/C OI
1.59
Slightly put-heavy
Consensus
7.0/10
Bullish tilt
Published snapshot: Jun 18, 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 18, 2026 close
QQQ AI Consensus Report
Analysis based on market close June 22, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
4.0

out of 10

4 not 5 because conflicting signals between bullish flow and bearish directional/theta reduce conviction; a clear catalyst is needed to tip the balance.

Where Perspectives Agree

Negative GEX and put-heavy flow create a bearish tilt, but the pin at Max Pain $738 and 0DTE call buying introduce uncertainty.

Where They Diverge

Flow notes massive 0DTE call buying (bullish signal) which directly contradicts the directional and theta bearish breakdown thesis.

Top Trade
via theta

Buy 2026-07-10 $725.00/$724.00 bear put spread for $0.55 debit.

Key Risk

Break above $745 triggers short squeeze and invalidates bearish thesis, while break below $730 could accelerate to $718.

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