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MU

Micron Technology, Inc.Close $1080.53EOD only

Max Pain

$1020.00

Next expiry Sep 25, 2026

Expected Move

±$23.85

2.2% from close

Price Gap

-60.53

Distance to max pain

IV Rank

Low premium

P/C OI

1.10

Balanced positioning

Consensus

7.0/10

Bullish tilt

Published snapshot: Sep 24, 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

Sep 24, 2026 close

MU AI Consensus Report

Analysis based on market close June 26, 2026

Directional Theta Gang Flow Earnings Consensus

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

Conviction

7.0

out of 10

7 not 8 because the downside trigger conflict between $1000 and $1085 reduces certainty, and earnings 89 days away introduces time decay risk for short-term trades.

Where Perspectives Agree

All personas converge on a bullish pin near $1085 supported by dealer long gamma, with positive flow and high vol favoring premium selling.

Where They Diverge

Theta's short put thesis relies on spot staying above $1000, but directional warns that a break below $1085 could trigger a gamma flip to $1000, creating a conflict on the downside invalidation level.

Top Trade

via theta

Sell 2026-07-24 $985/$980 put spread for $0.50 credit — defined risk, profits from pin above $985, expires in 28 days.

Key Risk

Break below $1000 flips dealer gamma long, removing the pin, and accelerates downside to $950 support.

How to Use These Reports

This ai consensus reflects the market close on June 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.