thetaOwl

MU

Micron Technology, Inc.Close $1051.77EOD only
Max Pain
$1035.00
Next expiry Jun 26, 2026
Expected Move
±$135.43
12.9% from close
Price Gap
-16.77
Distance to max pain
IV Rank
56
Middle-high premium
P/C OI
1.49
Slightly put-heavy
Consensus
7.5/10
Bullish tilt
Published snapshot: Jun 23, 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
Jun 23, 2026 close
MU AI Consensus Report
Analysis based on market close June 24, 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 in 2 days create binary risk that current gamma pinning cannot guarantee; high confidence in pin but limited conviction in sustained breakout above $1050.

Where Perspectives Agree

Bullish pin to $1000 with dealer gamma support, capped by $1050 max pain, reinforced by net call flow and pre-earnings positioning.

Where They Diverge

Earnings expects post-event IV crush and put skew, contradicting continued bullish upside; heavy call accumulation at 1020-1055 is offset by deep OTM put hedging.

Top Trade
via directional

Buy 2026-07-10 $1000/$1045 call spread for $20 debit

Key Risk

Break below $1000 flips dealer gamma long, triggering selling that accelerates to $980 support.

How to Use These Reports
This ai consensus reflects the market close on June 24, 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.