thetaOwl

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 18, 2026

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

Conviction
7.0

out of 10

7 not 8 because the mean reversion risk from theta weakens the bullish alignment; if spot holds above $720 for a few days, conviction would rise to 8.

Where Perspectives Agree

All personas converge on a bullish pinning scenario near $740, supported by positive dealer gamma and heavy call accumulation, with upside capped at $764 resistance.

Where They Diverge

Theta warns of mean reversion risk from spot being 7% above max pain ($692), conflicting with directional's outright bullish bias and flow's pinning thesis — if spot mean-reverts, the bullish structure fails.

Top Trade
via directional

Sell 2026-07-17 $709/$670 put credit spread for $1.20 credit — defined risk, profits from bullish pinning above $709.

Key Risk

Break below $660 flips dealer gamma long and triggers dealer hedging, accelerating downside to $640 — all personas agree this invalidates the pin thesis.

How to Use These Reports
This ai consensus reflects the market close on June 18, 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.