thetaOwl

AAPL

Apple Inc.Close $291.13EOD only
Max Pain
$292.50
Next expiry Jun 15, 2026
Expected Move
±$3.87
1.3% from close
Price Gap
+1.37
Distance to max pain
IV Rank
56
Middle-high premium
P/C OI
0.71
Slightly call-heavy
Consensus
8.0/10
Bullish tilt
Published snapshot: Jun 12, 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
Jun 12, 2026 close
AAPL AI Consensus Report
Analysis based on market close June 12, 2026

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

Conviction
8.0

out of 10

8 not 9 because the earnings event 48 days out creates uncertainty in vol regime; current low VIX could amplify move, and spot below max pain may cause pin to hold or fade.

Where Perspectives Agree

Bullish pin to $295 driven by strong GEX support, bullish flow with $91.4M net premium, and high dealer gamma pinning.

Where They Diverge

Earnings persona's long straddle recommendation conflicts with theta's premium-selling strategy; straddle implies expected vol expansion, while theta bets on continued pin.

Top Trade
via theta

Sell 2026-07-17 $280/$275 put spread for $1.20 credit

Key Risk

Break below $280 puts support flips dealer gamma long, removing the pin and accelerating decline to $240 gamma flip level.

How to Use These Reports
This ai consensus reflects the market close on June 12, 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.