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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 5, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
5.0

out of 10

5 not higher because theta's bullish pin thesis undermines bearish consensus; conviction would increase to 7 if spot breaks below $580.

Where Perspectives Agree

Bearish bias with downside risk to $570-$580 driven by negative dealer gamma and institutional put hedging; high IV offers premium selling opportunities but caution.

Where They Diverge

Theta's short put spread expects pin to $615, directly opposing directional/flow bearish outlook for break below $580.

Top Trade
via directional

Buy 2026-07-17 $565/$540 put spread for $12.50 debit

Key Risk

Break below $580 flips dealer gamma long, accelerating downside to $570 and below.

How to Use These Reports
This ai consensus reflects the market close on June 5, 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.