thetaOwl

META

Meta Platforms, Inc.Close $566.98EOD only
Max Pain
$585.00
Next expiry Jun 15, 2026
Expected Move
±$10.72
1.9% from close
Price Gap
+18.02
Distance to max pain
IV Rank
100
High premium
P/C OI
0.46
Slightly call-heavy
Consensus
7.0/10
Bullish tilt
Published snapshot: Jun 12, 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
Jun 12, 2026 close
META AI Consensus Report
Analysis based on market close June 12, 2026

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

Conviction
7.0

out of 10

7 not 8 because theta's caution and distant earnings uncertainty temper strong alignment; conviction rises to 9 if spot breaks above $578 this week.

Where Perspectives Agree

All personas converge on a bullish bias toward the $578-$585 gamma pinning zone, driven by heavy institutional call flow and positive GEX alignment.

Where They Diverge

Theta suggests waiting due to spot below max pain and high gamma risk, while flow and directional see the current level as an entry opportunity, creating a timing conflict.

Top Trade
via flow

Buy 2026-06-18 $575/$585 call spread for $1.25 debit.

Key Risk

Break below $537 invalidates bullish thesis — flips dealer gamma long and accelerates downside to $520 support.

How to Use These Reports
This ai consensus reflects the market close on June 12, 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.