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ORCL

Oracle CorporationClose $165.16EOD only

Max Pain

$190.00

Next expiry Jun 26, 2026

Expected Move

±$7.78

4.7% from close

Price Gap

+24.84

Distance to max pain

IV Rank

Low premium

P/C OI

0.98

Balanced positioning

Consensus

5.5/10

Bearish tilt

Published snapshot: Jun 23, 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 23, 2026 close

ORCL AI Consensus Report

Analysis based on market close June 24, 2026

Directional Theta Gang Flow Earnings Consensus

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

Conviction

6.5

out of 10

6.5 not 7.5 because conflicting call buying in flow undermines full bearish alignment; not lower because GEX, IV skew, and earnings term structure all support premium selling or downside.

Where Perspectives Agree

All personas see bearish pressure from negative dealer gamma, high IV, and spot below max pain at $185, favoring downside or range-bound premium selling.

Where They Diverge

Flow shows aggressive call buying at $160-$165, indicating institutional bullish bets, which contradicts the bearish directional thesis from GEX and net premium.

Top Trade

via earnings

Sell 2026-07-02 $150 put / buy 2026-07-31 $140 put for $2.10 credit (put diagonal).

Key Risk

Break below $150 flips dealer gamma long and triggers cascade; downside accelerates to $140.

How to Use These Reports

This ai consensus reflects the market close on June 24, 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.