thetaOwl

QQQ

Invesco QQQ TrustClose $646.79EOD only
Max Pain
$640.00
Next expiry Apr 21, 2026
Expected Move
±$4.65
0.7% from close
Price Gap
-6.79
Distance to max pain
IV Rank
19
Low premium
P/C OI
1.54
Slightly put-heavy
Consensus
5.5/10
Consensus signal
Published snapshot: Apr 20, 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 20, 2026 close
QQQ AI Consensus Report
Analysis based on market close April 21, 2026

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

Conviction
5.0

out of 10

5 because theta and dealer‑gamma dynamics support a pin/down bias but mixed flow (institutional accumulation) creates meaningful upside risk that prevents higher conviction.

Where Perspectives Agree

Range-bound with a slight bearish tilt into the 640–645 area driven by dealer short‑gamma around max‑pain; premium sellers can monetize muted upside while protective buys are prudent.

Where They Diverge

Flow signals of institutional accumulation contradict the directional short/neutral bias—if money is actually positioning long, dealer gamma and short call selling become vulnerable to a squeeze; earnings/IV structure is neutral and does not materially resolve this mismatch.

Top Trade
via theta

Sell May 15 2026 $670/$690 call spread for ~$0.65 credit (bear call spread, defined risk)

Key Risk

A break below $623.22 triggers dealer gamma rebalancing and accelerates downside to the next structural support (~$610), invalidating the pin/range thesis and causing rapid gap fill.

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