thetaOwl

CVNA

Carvana Co.Close $64.83EOD only
Max Pain
$67.00
Next expiry Jun 26, 2026
Expected Move
±$3.88
6.0% from close
Price Gap
+2.17
Distance to max pain
IV Rank
50
Middle-high premium
P/C OI
0.84
Slightly call-heavy
Consensus
7.5/10
Range bias
Published snapshot: Jun 23, 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 23, 2026 close
CVNA AI Consensus Report
Analysis based on market close June 24, 2026

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

Conviction
6.0

out of 10

6 not 7 because elevated put volume and earnings uncertainty reduce conviction despite strong gamma pin; if put volume subsides, conviction rises to 8.

Where Perspectives Agree

Bullish pin toward $67 supported by dealer gamma and max pain, with strong put support at $60 limiting downside.

Where They Diverge

Flow's elevated put volume (PCR 1.05) contradicts the bullish consensus, indicating hedging. Also, theta's short premium trades conflict with directional's long vol bias near earnings.

Top Trade
via theta

Sell 2026-07-31 $67/$66 put spread for $0.40 credit

Key Risk

Break below $60 flips dealer gamma long, triggering accelerated selling to $56 support.

How to Use These Reports
This ai consensus reflects the market close on June 24, 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.