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SMCI

Super Micro Computer, Inc.Close $30.46EOD only
Max Pain
$32.00
Next expiry Jun 18, 2026
Expected Move
±$2.91
9.6% from close
Price Gap
+1.54
Distance to max pain
IV Rank
80
High premium
P/C OI
0.70
Slightly call-heavy
Consensus
7.5/10
Bullish tilt
Published snapshot: Jun 12, 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 12, 2026 close
SMCI AI Consensus Report
Analysis based on market close June 12, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
7.5

out of 10

7.5 not 8.5 because the vol conflict between short vol (theta) and long vol (earnings) reduces signal purity; if vol expectations converge, conviction would rise.

Where Perspectives Agree

Bullish pin near $32 with strong dealer gamma support and institutional call flow reinforcing upside bias.

Where They Diverge

Theta's short volatility strategy (selling puts) conflicts with Earnings' long volatility straddle, creating diverging expectations on near-term realized volatility.

Top Trade
via theta

Sell 2026-07-17 $26.00/$24.00 put spread for $0.80 credit

Key Risk

Break below $30 flips dealer gamma long and triggers stop-loss cascade, invalidating all bullish setups.

How to Use These Reports
This ai consensus reflects the market close on June 12, 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.