thetaOwl

META

Meta Platforms, Inc.Close $627.57EOD only
Max Pain
$612.50
Next expiry Jun 5, 2026
Expected Move
±$9.75
1.6% from close
Price Gap
-15.07
Distance to max pain
IV Rank
62
High premium
P/C OI
0.46
Slightly call-heavy
Consensus
8.0/10
Bullish tilt
Published snapshot: Jun 4, 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 4, 2026 close
META AI Consensus Report
Analysis based on market close June 4, 2026

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

Conviction
8.0

out of 10

8 not 9 because earnings casts doubt with low confidence and neutral strategies, despite strong alignment among directional, theta, and flow.

Where Perspectives Agree

Bullish pinning near $640 with dealer GEX support, but near-term resistance at $660 and put hedging cap upside.

Where They Diverge

Earnings perspective (0/10 confidence) sees limited upside due to put hedging and flat call skew, contradicting the bullish drift to $660 from directional and flow.

Top Trade
via theta

Sell 2026-07-17 $610/$605 put spread for $0.50 credit — defined risk, profits from pin near $612.5 support.

Key Risk

Break below $612.5 support flips dealer gamma long and accelerates decline to $600, invalidating the pinning thesis.

How to Use These Reports
This ai consensus reflects the market close on June 4, 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.