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MU

Micron Technology, Inc.Close $935.89EOD only
Max Pain
$925.00
Next expiry Jun 12, 2026
Expected Move
±$83.90
9.0% from close
Price Gap
-10.89
Distance to max pain
IV Rank
89
High premium
P/C OI
1.47
Slightly put-heavy
Consensus
7.0/10
Bullish tilt
Published snapshot: Jun 9, 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 9, 2026 close
MU AI Consensus Report
Analysis based on market close June 10, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
7.0

out of 10

7 not 8 because the high put/call OI and extreme put IV indicate bearish hedging that could offset bullish flow if spot stalls.

Where Perspectives Agree

Bullish pin to $920 with dealer gamma support and institutional call buying, though put/call OI >1.4 shows residual hedging.

Where They Diverge

High IV and put skew suggest aggressive hedging that could cap upside if spot fails to reach max pain; earnings event in 14 days adds binary risk.

Top Trade
via theta

Sell 2026-07-17 $720/$710 put spread for ~$0.50 credit

Key Risk

Break below $730 triggers dealer gamma flip, accelerating downside to $710 and invalidating the pin thesis.

How to Use These Reports
This ai consensus reflects the market close on June 10, 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.