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AAPL

Apple Inc.Close $335.92EOD only
Max Pain
$335.00
Next expiry Sep 25, 2026
Expected Move
±$3.54
1.1% from close
Price Gap
-0.92
Distance to max pain
IV Rank
10
Low premium
P/C OI
0.74
Slightly call-heavy
Consensus
8.5/10
Bullish tilt
Published snapshot: Sep 24, 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
Sep 24, 2026 close
AAPL AI Consensus Report
Analysis based on market close June 26, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
8.5

out of 10

8.5 not 9.5 because market weakness and potential gamma flip below $277.5 introduce tail risk, but strong alignment and high confidence from all personas justify a high score.

Where Perspectives Agree

All three personalities converge on a bullish pin near $282.50, supported by dealer gamma, heavy call flow, and elevated put IV making put credit spreads attractive.

Where They Diverge

No fundamental conflict: Theta's short put spread aligns with directional bullish bias, though near-term gamma risk from 0 DTE skew could cause intraday noise.

Top Trade
via theta

Sell 2026-07-24 $280.00/$275.00 put spread for $1.20 credit

Key Risk

Break below $277.50 flips dealer gamma long and triggers stop-loss cascade, invalidating the bullish pin and accelerating decline toward $240 support.

How to Use These Reports
This ai consensus reflects the market close on June 26, 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.