thetaOwl

META

Meta Platforms, Inc.Close $600.21EOD only
Max Pain
$587.50
Next expiry Jun 17, 2026
Expected Move
±$9.55
1.6% from close
Price Gap
-12.71
Distance to max pain
IV Rank
100
High premium
P/C OI
0.46
Slightly call-heavy
Consensus
8.5/10
Bullish tilt
Published snapshot: Jun 16, 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 16, 2026 close
META AI Consensus Report
Analysis based on market close June 17, 2026

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

Conviction
6.0

out of 10

6 not 7 because the extreme 0DTE skew and conflicting flow (noisy retail vs genuine hedging) reduce alignment; if spot holds above $580, conviction rises to 8.

Where Perspectives Agree

All perspectives note spot trading below $590 max pain with negative gamma and massive 0DTE call buying, reinforcing a pin to $590 or gamma squeeze.

Where They Diverge

Theta's bearish put spread recommendation directly contradicts the bullish flow and directional signals, as speculative call volumes suggest upside while theta sees downside protection needs.

Top Trade
via earnings

Sell 2026-07-02 $570 put / $592.50 call strangle for ~$8.00 credit — profits from pin at $590 and time decay pre-expiration.

Key Risk

Break below $556 support invalidates pin thesis and flips dealer gamma long, accelerating downside to $540.

How to Use These Reports
This ai consensus reflects the market close on June 17, 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.