thetaOwl

META

Meta Platforms, Inc.Close $605.06EOD only
Max Pain
$605.00
Next expiry May 22, 2026
Expected Move
±$12.50
2.1% from close
Price Gap
-0.06
Distance to max pain
IV Rank
32
Middle-high premium
P/C OI
0.46
Slightly call-heavy
Consensus
8.5/10
Bullish tilt
Published snapshot: May 20, 2026 close
End-of-day snapshot

This page reflects META options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.

Published Snapshot
May 20, 2026 close
META AI Consensus Report
Analysis based on market close May 15, 2026

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

You are viewing an older report from May 15, 2026. A newer ai consensus report is available for May 20, 2026.

View latest report
Conviction
9.0

out of 10

9 not 10 because high vol regime and gamma flip at $600 add tail risk despite alignment.

Where Perspectives Agree

All personas agree on bullish pin to $605-$610 with dealer gamma support key.

Where They Diverge

No significant conflicts across persona conclusions; all signals align (bullish flow, gamma support, low IV for theta selling).

Top Trade
via theta

Sell Jul 17 $605/$595 put spread for $1.00 credit — defined risk, profits from pin, aligned with theta and directional risks.

Key Risk

Break below $600 flips dealer gamma, accelerating decline to $595 and below.

How to Use These Reports
This ai consensus reflects the market close on May 15, 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.