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ORCL

Oracle CorporationClose $205.81EOD only

Max Pain

$207.50

Next expiry Jun 12, 2026

Expected Move

±$25.80

12.5% from close

Price Gap

+1.69

Distance to max pain

IV Rank

100

High premium

P/C OI

0.90

Slightly call-heavy

Consensus

8.5/10

Bullish tilt

Published snapshot: Jun 9, 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

Jun 9, 2026 close

ORCL AI Consensus Report

Analysis based on market close June 10, 2026

Directional Theta Gang Flow Earnings Consensus

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

Conviction

7.0

out of 10

7 not 8 because the earnings event in 2 days and high IV introduce binary risk that could invalidate the pin thesis, despite strong alignment in GEX and flow.

Where Perspectives Agree

All personas agree on bullish bias with pinning near $200-208, supported by positive GEX and flow, but tempered by macro headwinds and downside hedging.

Where They Diverge

Earnings persona detects heavy put activity on low strikes as downside hedging, directly contradicting the directional bullish continuation thesis; flow also notes unusual put buying near expiration.

Top Trade

via theta

Sell 2026-06-18 $200.00/$180.00 put credit spread for $1.20 credit

Key Risk

Break below $190 flips dealer gamma from long to short, removing the pin and accelerating downside to $180 support.

How to Use These Reports

This ai consensus reflects the market close on June 10, 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.