thetaOwl

SMCI

Super Micro Computer, Inc.Close $35.46EOD only
Max Pain
$30.50
Next expiry Jun 26, 2026
Expected Move
±$3.36
9.5% from close
Price Gap
-4.96
Distance to max pain
IV Rank
32
Middle-high premium
P/C OI
0.76
Slightly call-heavy
Consensus
7.5/10
Bullish tilt
Published snapshot: Jun 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
Jun 22, 2026 close
SMCI AI Consensus Report
Analysis based on market close June 23, 2026

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

Conviction
6.5

out of 10

6.5 not 8 because earnings event 42 days out introduces uncertainty that could break the pin, and high IV risks compression.

Where Perspectives Agree

Bullish pin near $30 with dealer gamma support, bullish flow accumulation, and elevated IV favoring premium selling.

Where They Diverge

Earnings persona notes heavy put hedging at near strikes, which could signal downside risk if spot breaks $30, while flow interprets that as hedging not bearish.

Top Trade
via theta

Sell 2026-09-18 $30/$28 put spread for $0.85 credit

Key Risk

Break below $30 flips dealer gamma from long to short, removing pin support and accelerating decline to $28.

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