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AMD

Advanced Micro Devices, Inc.Close $284.49EOD only
Max Pain
$255.00
Next expiry Apr 24, 2026
Expected Move
±$13.88
4.9% from close
Price Gap
-29.49
Distance to max pain
IV Rank
41
Middle-high premium
P/C OI
1.05
Balanced positioning
Consensus
6.0/10
Bullish tilt
Published snapshot: Apr 21, 2026 close
End-of-day snapshot

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

Published Snapshot
Apr 21, 2026 close
AMD AI Consensus Report
Analysis based on market close April 22, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
7.0

out of 10

7 because flow+GEX alignment and pinning give durable directional edge, but elevated IV, tail/backtest risk and an earnings binary reduce a higher score until those event/IV risks clear.

Where Perspectives Agree

Market structure and dealer gamma are net-bullish with a pinning regime that favors continuation toward higher strikes absent a binary event.

Where They Diverge

Theta-driven premium selling is at odds with elevated IV, tail-risk and imminent earnings — selling premium would be undermined by a vol spike; directional long bias is exposed to a mean-reversion toward the midpoint that would punish one-sided long risk without hedges.

Top Trade
via directional

Buy May 15 2026 315/335 bull-call spread for a debit (~$6.50) — directional call spread to capture pin-driven continuation with limited downside.

Key Risk

Break and daily close below $300 flips dealer-gamma and removes the pin, triggering rapid downside to the $285 gap-fill and invalidating the continuation thesis.

How to Use These Reports
This ai consensus reflects the market close on April 22, 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.