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AMZN

Amazon.com, Inc.Close $246.03EOD only
Max Pain
$255.00
Next expiry Jun 8, 2026
Expected Move
±$5.29
2.1% from close
Price Gap
+8.97
Distance to max pain
IV Rank
51
Middle-high premium
P/C OI
0.64
Slightly call-heavy
Consensus
5.0/10
Range bias
Published snapshot: Jun 5, 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 5, 2026 close
AMZN AI Consensus Report
Analysis based on market close June 8, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
6.5

out of 10

6.5 not 7.5 because mixed flow and theta's downside risk from weak put OI prevent higher confidence despite alignment on pinning to $250.

Where Perspectives Agree

All personas see bullish drift to $250 max pain, supported by pinning gamma and positive GEX, with flow showing aggressive call buying at 245-250.

Where They Diverge

Theta's short strangle risks downside if break below $240, but directional's support at $240 and flow's put hedging at 240-245 indicate mixed sentiment that caps upside conviction.

Top Trade
via theta

Sell 2026-07-17 $235/$230 put spread for $1.00 credit.

Key Risk

Break below $240 invalidates the pin thesis and accelerates downside to $233 support.

How to Use These Reports
This ai consensus reflects the market close on June 8, 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.