thetaOwl

MU

Micron Technology, Inc.Close $766.58EOD only
Max Pain
$565.00
Next expiry May 15, 2026
Expected Move
±$65.50
8.5% from close
Price Gap
-201.58
Distance to max pain
IV Rank
90
High premium
P/C OI
1.29
Slightly put-heavy
Consensus
6.5/10
Bullish tilt
Published snapshot: May 12, 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 12, 2026 close
MU AI Consensus Report
Analysis based on market close May 13, 2026

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

Conviction
7.0

out of 10

7 not 8 because the conflict between bullish flow and hedging put skew reduces confidence; if put hedging fades, conviction rises.

Where Perspectives Agree

Bullish pin near $800 supported by positive GEX and call flow, but capped by call wall near $900.

Where They Diverge

Earnings highlights heavy put hedging near $800 and elevated put skew, suggesting downside risk that contradicts purely bullish flow; also directional's high vol regime conflicts with theta's premium-selling approach.

Top Trade
via theta

Sell 2026-07-17 $710/$580 put credit spread for a net credit.

Key Risk

Break below $620 triggers gamma flip from dealer short to long, accelerating downside to $600 support as put wall at $620 fails.

How to Use These Reports
This ai consensus reflects the market close on May 13, 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.