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AAPL

Apple Inc.Close $290.55EOD only

Max Pain

$305.00

Next expiry Jun 10, 2026

Expected Move

±$4.02

1.4% from close

Price Gap

+14.45

Distance to max pain

IV Rank

Middle-high premium

P/C OI

0.71

Slightly call-heavy

Consensus

8.5/10

Bullish tilt

Published snapshot: Jun 9, 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 9, 2026 close

AAPL AI Consensus Report

Analysis based on market close June 10, 2026

Directional Theta Gang Flow Earnings Consensus

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

Conviction

8.0

out of 10

8 not 9 because macro headwinds (SPY -1.58%, QQQ -2.0%) and upcoming earnings (July 30) introduce uncertainty that could disrupt the pin, despite strong alignment across signals.

Where Perspectives Agree

All four personas converge on a bullish bias targeting $295 max pain, supported by strong dealer gamma, bullish flow, and favorable IV for premium selling.

Where They Diverge

Theta's put credit spread at $285 assumes price stability, while directional and earnings see upside to $295+; if macro selloff (SPY/QQQ weak) drags AAPL below $285, the pinning thesis fails.

Top Trade

via theta

Sell 2026-07-02 $285/$280 put credit spread for $1.00 credit

Key Risk

Break below $280 support flips dealer gamma from pinning to hedging, accelerating decline to $270; all personas agree this invalidates the bullish thesis.

How to Use These Reports

This ai consensus reflects the market close on June 10, 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.