thetaOwl

QQQ

Invesco QQQ TrustClose $644.33EOD only
Max Pain
$644.00
Next expiry Apr 22, 2026
Expected Move
±$6.52
1.0% from close
Price Gap
-0.33
Distance to max pain
IV Rank
33
Middle-high premium
P/C OI
1.55
Slightly put-heavy
Consensus
5.0/10
Range bias
Published snapshot: Apr 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
Apr 21, 2026 close
QQQ AI Consensus Report
Analysis based on market close April 22, 2026

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

Conviction
6.5

out of 10

6.5 because dealer gamma and spot positioning align across personas supporting a pin, but institutional put accumulation creates an asymmetric tail risk that can invalidate the setup quickly, limiting conviction below high single digits.

Where Perspectives Agree

Short-term mildly bullish pin: dealer gamma and spot>MP bias the market to hold near current levels, creating an opportunity for premium sellers and defined-risk directional trades into the May cycle.

Where They Diverge

Flow signals show large institutional put accumulation and unusual sell-side prints that imply protective positioning and risk of a downside re-pricing, which directly undermines the directional pin thesis supported by dealer GEX.

Top Trade
via theta

Sell May 08 645/644 put spread for ~$0.20 credit (theta strategy).

Key Risk

Drop below $643 on sustained volume (large put execution or roll-trigger) flips dealer gamma from supporting to selling, accelerating downside toward $637 and invalidating the pin thesis.

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