thetaOwl

AAPL

Apple Inc.Close $266.17EOD only
Max Pain
$270.00
Next expiry Apr 22, 2026
Expected Move
±$3.67
1.4% from close
Price Gap
+3.83
Distance to max pain
IV Rank
23
Low premium
P/C OI
0.68
Slightly call-heavy
Consensus
6.5/10
Range bias
Published snapshot: Apr 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
Apr 21, 2026 close
AAPL AI Consensus Report
Analysis based on market close April 22, 2026

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

Conviction
6.0

out of 10

Score 6 because strong GEX/flow alignment supports near-term pinning but the unhedged earnings binary and potential IV repricing materially raise tail risk, preventing a higher conviction.

Where Perspectives Agree

Slightly bullish pin around $268 with dealer gamma support that mops up intraday moves and biases for reversion to the magnet, making defined bullish/neutral premium selling and modest directional longs the common playbook.

Where They Diverge

Earnings term-structure and upcoming event risk create a binary that undermines the pin: while flow and GEX imply accumulation and stability, earnings positioning suggests a post-event unwind that would negate dealer-driven pinning and could reverse the bias.

Top Trade
via theta

Sell May 15 265/250 put spread for credit (defined-risk bullish premium sell, expires before any large-term expiries).

Key Risk

A sustained break and close below $262 flips dealer gamma (removes the pin), triggering accelerated downside toward the $250 support/gap and invalidating the bullish/premium-selling thesis.

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