thetaOwl

AMD

Advanced Micro Devices, Inc.Close $511.57EOD only
Max Pain
$260.00
Next expiry Jun 18, 2026
Expected Move
±$39.38
7.7% from close
Price Gap
-251.57
Distance to max pain
IV Rank
100
High premium
P/C OI
1.10
Slightly put-heavy
Consensus
8.0/10
Bullish tilt
Published snapshot: Jun 12, 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
Jun 12, 2026 close
AMD 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
7.5

out of 10

7.5 not 8.5 because the conflict between flow's hedging puts and theta's put selling, plus directional's caution about spot being far above Max Pain (increasing pullback risk), prevent full alignment; if spot holds above $540 through earnings, conviction would rise to 9.

Where Perspectives Agree

All personas converge on a bullish bias for AMD with strong GEX/flow support, high IV, and institutional accumulation, targeting $555+ with pinning near current levels.

Where They Diverge

Flow reveals institutional put buying at $535-550 for hedging, conflicting with theta's aggressive put credit spread at $500, which assumes support — if spot declines, those puts could accelerate selling.

Top Trade
via directional

Buy 2026-08-21 $540/$580 bull call spread for $18.50 debit — bullish with defined risk, benefits from gamma pinning and positive flow.

Key Risk

Break below $390 triggers gamma flip from positive to negative (dealer long gamma becomes short), invalidating the pin and accelerating downside to $340-$350 support.

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.