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SMCI

Super Micro Computer, Inc.Close $29.18EOD only

Max Pain

$26.00

Next expiry Apr 24, 2026

Expected Move

±$1.35

4.6% from close

Price Gap

-3.18

Distance to max pain

IV Rank

Low premium

P/C OI

0.84

Slightly call-heavy

Consensus

5.5/10

Range bias

Published snapshot: Apr 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

Apr 22, 2026 close

SMCI AI Consensus Report

Analysis based on market close April 23, 2026

Directional Theta Gang Flow Earnings Consensus

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

Conviction

6.0

out of 10

Score 6 because dealer gamma and current positioning favor the pin but mixed flow and an earnings/binary event can rapidly invalidate it; not higher due to those event-driven and flow contradictions.

Where Perspectives Agree

Market is pinned toward $27 in the short run with dealer gamma creating a magnet and amplifying moves around that level, producing a neutral-to-slight-bull bias absent a catalyst.

Where They Diverge

Flow signals of selective institutional accumulation contrast with event/earnings sensitivity; the earnings-term structure and any imminent binary event would incentivize de-risking and IV repricing that directly undermine the pin despite current positioning.

Top Trade

via theta

Sell May 15 2026 $25/$22 put spread for a net credit (defined-risk theta play).

Key Risk

Break and daily close below $24 flips dealer gamma exposure, removes the pin and accelerates downside into the $22/$20 support zone, invalidating the neutral-to-slight-bull thesis.

How to Use These Reports

This ai consensus reflects the market close on April 23, 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.