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SMCI

Super Micro Computer, Inc.Close $35.58EOD only
Max Pain
$31.00
Next expiry May 29, 2026
Expected Move
±$2.83
8.0% from close
Price Gap
-4.58
Distance to max pain
IV Rank
28
Middle-high premium
P/C OI
0.80
Slightly call-heavy
Consensus
7.0/10
Bullish tilt
Published snapshot: May 22, 2026 close
End-of-day snapshot

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

Published Snapshot
May 22, 2026 close
SMCI AI Consensus Report
Analysis based on market close May 26, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
6.5

out of 10

6.5 not 8 because theta's bearish recommendation contradicts the majority bullish signal; if theta were aligned, conviction would be 8.

Where Perspectives Agree

All four personas converge on a bullish pin driven by heavy call accumulation, positive GEX, and upward sloping IV term structure.

Where They Diverge

Theta recommends selling call credit spreads, directly opposing the bullish flow and directional bias — this structural conflict lowers conviction.

Top Trade
via directional

Buy June 18 $37/$43 call spread for $2.10 debit.

Key Risk

Break below $34 flips dealer gamma bearish and triggers selloff to $31 max pain.

How to Use These Reports
This ai consensus reflects the market close on May 26, 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.