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AAPL

Apple Inc.Close $304.99EOD only
Max Pain
$295.00
Next expiry May 22, 2026
Expected Move
±$2.74
0.9% from close
Price Gap
-9.99
Distance to max pain
IV Rank
27
Middle-high premium
P/C OI
0.71
Slightly call-heavy
Consensus
8.5/10
Bullish tilt
Published snapshot: May 21, 2026 close
End-of-day snapshot

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

Published Snapshot
May 21, 2026 close
AAPL AI Consensus Report
Analysis based on market close May 22, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
8.0

out of 10

8 not 9 because the mild conflict on near-term pullback risk and distant earnings event reduce certainty; strong gamma and flow alignment keep it high.

Where Perspectives Agree

Bullish pin near $300 with dealer gamma support, normal IV, and directional drift toward $310-$313.

Where They Diverge

Theta warns spot 3.8% above max pain suggests pullback risk, mildly contradicting bullish drift; earnings notes near-term put hedging that may cap upside short-term.

Top Trade
via theta

Sell 2026-07-17 $300/$290 put wing and $325/$335 call wing iron condor for ~$1.00 credit.

Key Risk

Break below $298 flips dealer gamma and triggers put hedging, accelerating downside to $290 support.

How to Use These Reports
This ai consensus reflects the market close on May 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.