thetaOwl

AMAT

Applied Materials, Inc.Close $668.00EOD only
Max Pain
$555.00
Next expiry Jun 26, 2026
Expected Move
±$13.75
2.1% from close
Price Gap
-113.00
Distance to max pain
IV Rank
29
Middle-high premium
P/C OI
1.01
Balanced positioning
Consensus
6.5/10
Range bias
Published snapshot: Jun 25, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 25, 2026 close
AMAT AI Consensus Report
Analysis based on market close June 25, 2026

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

Conviction
6.5

out of 10

6.5 not 7.5 because earnings event in 49 days creates uncertainty that tempers the otherwise strong GEX/flow alignment, and the conflicting IV outlook reduces conviction.

Where Perspectives Agree

Bullish pinning near $667 supported by dealer long gamma, heavy call flow, and high IV, with short-term upside bias but capped by $680/$700 resistance.

Where They Diverge

Earnings perspective anticipates IV crush post-earnings (49 days out) which contradicts theta's premium-selling thesis, and the directional view's mean reversion risk clashes with flow's sustained bullish call buying.

Top Trade
via theta

Sell 2026-07-17 $650/$640 put credit spread for ~$3.00 credit

Key Risk

Break below $582 flips dealer gamma short to long, removing pinning support and accelerating decline towards $555 max pain.

How to Use These Reports
This ai consensus reflects the market close on June 25, 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.