thetaOwl

GOOGL

Alphabet Inc.Close $368.53EOD only
Max Pain
$370.00
Next expiry Jun 8, 2026
Expected Move
±$7.90
2.1% from close
Price Gap
+1.47
Distance to max pain
IV Rank
38
Middle-high premium
P/C OI
0.85
Slightly call-heavy
Consensus
8.0/10
Bullish tilt
Published snapshot: Jun 5, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 5, 2026 close
GOOGL AI Consensus Report
Analysis based on market close June 8, 2026

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

Conviction
9.0

out of 10

9 not 10 because the 45-day earnings horizon introduces macro risk that could alter the setup, though current positioning is overwhelmingly aligned.

Where Perspectives Agree

Bullish pin near $365-$368 with dealer gamma support, heavy call flow, and low put/call ratio all reinforce upside momentum.

Where They Diverge

No significant conflicts; all personas agree on bullish bias with minor horizon differences (short-term pin vs. long-term call accumulation) that are complementary.

Top Trade
via earnings

Buy 2026-08-21 $350/$380 call spread for $2.50 debit

Key Risk

Break below $355 flips dealer gamma long and triggers stop-loss cascade, invalidating the pin and accelerating downside to $346 support.

How to Use These Reports
This ai consensus reflects the market close on June 8, 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.