thetaOwl

LRCX

Lam Research CorporationClose $388.92EOD only
Max Pain
$270.00
Next expiry Jun 18, 2026
Expected Move
±$23.25
6.0% from close
Price Gap
-118.92
Distance to max pain
IV Rank
100
High premium
P/C OI
1.14
Slightly put-heavy
Consensus
7.0/10
Bearish tilt
Published snapshot: Jun 15, 2026 close
End-of-day snapshot

This page reflects LRCX options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.

Published Snapshot
Jun 15, 2026 close
LRCX AI Consensus Report
Analysis based on market close June 16, 2026

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

Conviction
7.0

out of 10

7 not 8 because the bearish put flow creates a moderate conflict that tempers alignment; if that activity fades, conviction could rise to 8.5.

Where Perspectives Agree

Bullish pin to $370 — positive dealer gamma, IV support, and flow accumulation all reinforce the magnet.

Where They Diverge

Flow reveals unusual $340 put buying (22.8k vol) signaling bearish downside hedging, directly contradicting the bullish continuation thesis above $370.

Top Trade
via earnings

Buy 2026-08-21 $370/$380 call spread for a net debit — defined risk, profits from pin to $370, 43 days to earnings.

Key Risk

Break below $290 flips dealer gamma negative, removing the pin and accelerating downside toward max pain at $270.

How to Use These Reports
This ai consensus reflects the market close on June 16, 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.