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SMCI

Super Micro Computer, Inc.Close $46.90EOD only
Max Pain
$40.50
Next expiry Jun 5, 2026
Expected Move
±$1.73
3.7% from close
Price Gap
-6.40
Distance to max pain
IV Rank
50
Middle-high premium
P/C OI
0.76
Slightly call-heavy
Consensus
7.5/10
Bullish tilt
Published snapshot: Jun 4, 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
Jun 4, 2026 close
SMCI AI Consensus Report
Analysis based on market close June 5, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
8.5

out of 10

8.5 not 9.5 because macro headwinds (QQQ -4.8%) could override the strong micro alignment; a confirmed hold above $40 would raise conviction.

Where Perspectives Agree

All personas converge on a bullish pin near $40, supported by strong gamma, positive flow, and max pain alignment.

Where They Diverge

Earnings notes deep OTM put buying as tail risk, but Flow treats it as noise; no direct incompatibility across theses.

Top Trade
via theta

Sell 2026-07-02 $40/$38 put spread for ~$0.50 credit — defined risk, profits from pin, expires in 27 days.

Key Risk

Break below $40 invalidates the pin and triggers max pain flips; downside accelerates toward $30 gamma flip level.

How to Use These Reports
This ai consensus reflects the market close on June 5, 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.