thetaOwl

ORCL

Oracle CorporationClose $140.27EOD only
Max Pain
$155.00
Next expiry Jul 10, 2026
Expected Move
±$9.07
6.5% from close
Price Gap
+14.73
Distance to max pain
IV Rank
38
Middle-high premium
P/C OI
0.92
Balanced positioning
Consensus
5.5/10
Bullish tilt
Published snapshot: Jul 2, 2026 close
End-of-day snapshot

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

Published Snapshot
Jul 2, 2026 close
ORCL AI Consensus Report
Analysis based on market close May 22, 2026

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

You are viewing an older report from May 22, 2026. A newer ai consensus report is available for June 26, 2026.

View latest report
Conviction
8.5

out of 10

8.5 not 9.5 because the lack of earnings catalyst and resistance at $195-200 cap conviction, but near-perfect alignment across GEX, flow, and gamma pinning justifies high score.

Where Perspectives Agree

All three personas converge on a bullish thesis for ORCL, supported by positive GEX ($102.8M), strong call flow ($47.8M net premium), and dealer gamma pinning near $185, driving upward drift despite resistance at $195-200.

Where They Diverge

No conflicts: Directional sees bullish bias with upside capped, Theta recommends short put spreads at support, and Flow confirms heavy call accumulation – all aligned.

Top Trade
via theta

Sell 2026-06-12 $185/$175 put spread for $1.00 credit – defined risk, profits from pin, expires after expected upward drift.

Key Risk

Break below $185 invalidates the pin thesis, flips dealer gamma short, and accelerates selloff to $175.

How to Use These Reports
This ai consensus reflects the market close on May 22, 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.