thetaOwl

MU

Micron Technology, Inc.Close $803.63EOD only
Max Pain
$600.00
Next expiry May 15, 2026
Expected Move
±$54.83
6.8% from close
Price Gap
-203.63
Distance to max pain
IV Rank
100
High premium
P/C OI
1.27
Slightly put-heavy
Consensus
7.0/10
Bullish tilt
Published snapshot: May 13, 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 13, 2026 close
MU AI Consensus Report
Analysis based on market close May 14, 2026

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

Conviction
7.0

out of 10

7 not 8 because earnings 41 days out and spot far above max pain ($600) introduce downside risk; short-term alignment is strong but longer-term uncertainty caps conviction.

Where Perspectives Agree

Bullish pin near $785-795 with dealer long gamma and heavy call accumulation supporting upside, but spot above max pain creates reversion risk.

Where They Diverge

Theta's short-vega strategies (put credit spreads) benefit from IV contraction, while earnings' short strangle is vega-short and theta-long, but flow's aggressive call buying suggests upside momentum that could overcome pinning.

Top Trade
via theta

Sell 2026-06-26 $665/$540 put credit spread for net credit

Key Risk

Break below $620 (gamma flip level) triggers dealer gamma reversal and accelerated selling to $600 max pain, invalidating bullish pin.

How to Use These Reports
This ai consensus reflects the market close on May 14, 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.