thetaOwl

MU

Micron Technology, Inc.Close $751.00EOD only
Max Pain
$690.00
Next expiry May 29, 2026
Expected Move
±$65.55
8.7% from close
Price Gap
-61.00
Distance to max pain
IV Rank
74
High premium
P/C OI
1.31
Slightly put-heavy
Consensus
7.0/10
Bullish tilt
Published snapshot: May 22, 2026 close
End-of-day snapshot

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

Published Snapshot
May 22, 2026 close
MU AI Consensus Report
Analysis based on market close May 26, 2026

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

Conviction
6.5

out of 10

6.5 not 7.5 because despite bullish flow and gamma alignment, the earnings event in 29 days creates binary risk that undermines directional confidence and splits trade structures.

Where Perspectives Agree

Bullish pin to $900 with dealer gamma support from $880-$920, but earnings event on June 24 introduces IV and directional uncertainty.

Where They Diverge

Directional sees upside to $1060 via call buying, while theta and earnings recommend short premium at resistance, directly conflicting on directional exposure.

Top Trade
via theta

Sell 2026-05-29 $900/$905 call spread for $0.50 credit

Key Risk

Break below $640 flips dealer gamma long, removing pin support — downside accelerates to $580 gap fill.

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.