thetaOwl

GOOGL

Alphabet Inc.Close $343.71EOD only
Max Pain
$350.00
Next expiry Jun 26, 2026
Expected Move
±$6.40
1.9% from close
Price Gap
+6.29
Distance to max pain
IV Rank
8
Low premium
P/C OI
0.76
Slightly call-heavy
Consensus
5.0/10
Bullish tilt
Published snapshot: Jun 25, 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 25, 2026 close
GOOGL AI Consensus Report
Analysis based on market close June 26, 2026

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

Conviction
4.5

out of 10

4.5 not higher because flow bullish but directional and theta both flag $320 gamma flip risk as a credible downside trigger; earnings confidence is also low at 4.0, reducing overall conviction.

Where Perspectives Agree

All personas agree GOOGL is near-term bullish-leaning pinning to $350 max pain, with negative gamma amplifying any move above or below.

Where They Diverge

Directional sees neutral-leaning with downside risk if gamma flip at $320 triggers, contradicting flow's bullish accumulation thesis; earnings expects pin to $350 while theta sells puts below $320, conflicting on direction.

Top Trade
via theta

Sell 2026-07-24 $320/$315 put spread for $1.50 credit

Key Risk

Break below $320 flips dealer gamma from negative to positive, accelerating selloff to $300 support and invalidating all bullish tactics.

How to Use These Reports
This ai consensus reflects the market close on June 26, 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.