thetaOwl

AMZN

Amazon.com, Inc.Close $232.79EOD only
Max Pain
$240.00
Next expiry Jun 24, 2026
Expected Move
±$5.53
2.4% from close
Price Gap
+7.21
Distance to max pain
IV Rank
13
Low premium
P/C OI
0.65
Slightly call-heavy
Consensus
6.0/10
Bullish tilt
Published snapshot: Jun 22, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 22, 2026 close
AMZN AI Consensus Report
Analysis based on market close June 23, 2026

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

Conviction
6.5

out of 10

6.5 not 7 or 5 because the pinning thesis is strongly supported by GEX and flow, but the conflict with directional’s market risk and mixed premium flow prevents higher conviction.

Where Perspectives Agree

Bullish pin to $235 max pain — positive dealer gamma, heavy 0DTE call buying, and high earnings beat rate all reinforce the pinning thesis.

Where They Diverge

Directional sees downside risk from broad tech sell-off (QQQ -3.3%) that could break $230.43 support, while flow reports negative net premium (-$15.8M) suggesting bearish hedging contradicts the bullish call accumulation.

Top Trade
via theta

Sell July 24 $225/$220 put spread and $245/$250 call spread (iron condor) for net credit ~$2.50

Key Risk

Break below $230.43 (2d low) flips dealer gamma negative, triggering stop-loss cascade to $220.79 support.

How to Use These Reports
This ai consensus reflects the market close on June 23, 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.