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ORCL

Oracle CorporationClose $189.76EOD only
Max Pain
$170.00
Next expiry May 15, 2026
Expected Move
±$7.43
3.9% from close
Price Gap
-19.76
Distance to max pain
IV Rank
85
High premium
P/C OI
0.81
Slightly call-heavy
Consensus
6.0/10
Range bias
Published snapshot: May 13, 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
May 13, 2026 close
ORCL AI Consensus Report
Analysis based on market close May 14, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
8.0

out of 10

8 not 9 because the 13% gap above max pain and high put skew introduce tail risk; still strongly aligned across GEX, flow, and theta.

Where Perspectives Agree

All personas converge on a bullish pin toward $200-210, supported by strong dealer gamma, heavy call accumulation, and defined-risk income opportunities.

Where They Diverge

Directional sees extension to $200-210 but theta flags high short-dated put skew and gamma flip at $150, while flow shows put hedging at $190/$187.5, creating a tension between upside and downside protection.

Top Trade
via theta

Sell 2026-06-12 $180.00/$162.50 put spread for $0.50 credit — defined risk, profits from pin, aligns with theta and flow.

Key Risk

Break below $150 flips dealer gamma long, invalidating the pin thesis and accelerating downside toward $140.

How to Use These Reports
This ai consensus reflects the market close on May 14, 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.