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CVNA

Carvana Co.Close $70.04EOD only
Max Pain
$74.00
Next expiry Jun 18, 2026
Expected Move
±$3.41
4.9% from close
Price Gap
+3.96
Distance to max pain
IV Rank
74
High premium
P/C OI
0.86
Slightly call-heavy
Consensus
6.5/10
Bullish tilt
Published snapshot: Jun 16, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 16, 2026 close
CVNA AI Consensus Report
Analysis based on market close June 17, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
6.0

out of 10

6 not 7 or 5 because strong bearish flow and directional alignment are offset by theta's opposing credit spread strategy and earnings' bullish historical beat rate, reducing conviction.

Where Perspectives Agree

Bearish bias with downside momentum driven by bearish flow, high IV, and dealer short gamma; key support at $60 could break.

Where They Diverge

Theta recommends credit spreads (bullish) while flow and directional advocate bearish puts; earnings bullish call spread conflicts with bearish flow.

Top Trade
via flow

Buy 2026-08-21 $64/$58 bear put spread for $2.10 debit

Key Risk

Break below $60 triggers gamma flip and accelerates downside to $57, invalidating all bullish structures.

How to Use These Reports
This ai consensus reflects the market close on June 17, 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.