Home Options GOOGLReports

GOOGL

Alphabet Inc.Close $372.19EOD only

Max Pain

$367.50

Next expiry Jun 5, 2026

Expected Move

±$5.35

1.4% from close

Price Gap

-4.69

Distance to max pain

IV Rank

Middle-high premium

P/C OI

0.85

Slightly call-heavy

Consensus

8.5/10

Bullish tilt

Published snapshot: Jun 4, 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 4, 2026 close

GOOGL AI Consensus Report

Analysis based on market close June 4, 2026

Directional Theta Gang Flow Earnings Consensus

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

Conviction

8.5

out of 10

8.5 not 9 because $380 resistance could cap upside and July earnings add binary risk, but alignment across all four personas justifies high conviction.

Where Perspectives Agree

Bullish pin near $370 with upside to $380 — all personas see strong bullish flow, positive GEX, and max pain support with dealer short-gamma pinning.

Where They Diverge

No major conflicts; all align on near-term bullish bias. Divergence only in trade structure (put credit spread vs. call spreads) but all target the same pin.

Top Trade

via theta

Sell Jun 18 $370/$365 put spread for $1.00 credit

Key Risk

Break below $365 invalidates all bullish theses — spot flips dealer gamma long, triggers stop-loss cascade, and opens downside to $350 support.

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.