thetaOwl

QQQ

Invesco QQQ TrustClose $714.51EOD only
Max Pain
$701.00
Next expiry May 22, 2026
Expected Move
±$6.50
0.9% from close
Price Gap
-13.51
Distance to max pain
IV Rank
42
Middle-high premium
P/C OI
1.71
Slightly put-heavy
Consensus
7.0/10
Range bias
Published snapshot: May 21, 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
May 21, 2026 close
QQQ AI Consensus Report
Analysis based on market close May 21, 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 mixed flow signal with put accumulation reduces conviction from strong bullish alignment to moderately bullish; a clean break above $716 would raise conviction to 8.

Where Perspectives Agree

All personas converge on pinning action near $710 max pain, with dealer long gamma and low VIX supporting mean-reversion into expiry.

Where They Diverge

Flow reveals heavy put buying at $709-$715 strikes, which contradicts the pure bullish pin thesis by indicating downside hedging, weakening directional confidence.

Top Trade
via theta

Sell 2026-06-12 $710/$705 put spread for $1.25 credit — defined risk, profits from pin, expires before FOMC.

Key Risk

Break below $691.46 invalidates the pin and dealer gamma support, triggering a downside acceleration toward $673.

How to Use These Reports
This ai consensus reflects the market close on May 21, 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.