thetaOwl

MU

Micron Technology, Inc.Close $981.61EOD only
Max Pain
$500.00
Next expiry Jun 18, 2026
Expected Move
±$100.92
10.3% from close
Price Gap
-481.61
Distance to max pain
IV Rank
100
High premium
P/C OI
1.46
Slightly put-heavy
Consensus
6.0/10
Bullish tilt
Published snapshot: Jun 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
Jun 12, 2026 close
MU AI Consensus Report
Analysis based on market close June 15, 2026

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

Conviction
6.0

out of 10

6 not 7 because earnings event creates a binary outcome that could break the pin thesis despite current alignment; a lower score would understate the strong GEX/flow backing.

Where Perspectives Agree

Bullish near-term pin near $1085 backed by dealer gamma support and positive flow, but earnings event in 9 days introduces binary risk.

Where They Diverge

Earnings expects high IV and potential crush, directly opposing the theta persona's wait-for-better-setup stance; heavy put hedging at 1070-1080 from flow contradicts directional's pure upside call speculation.

Top Trade
via earnings

Sell 2026-06-26 $1000.00/$845.00 put spread and $1250.00/$1480.00 call spread for net credit ~$3.50 (iron condor).

Key Risk

Break below $900 flips dealer gamma from long to short, triggering accelerated downside towards $845 put wall.

How to Use These Reports
This ai consensus reflects the market close on June 15, 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.