thetaOwl

CVNA

Carvana Co.Close $67.91EOD only
Max Pain
$67.00
Next expiry Jun 26, 2026
Expected Move
±$3.35
4.9% from close
Price Gap
-0.91
Distance to max pain
IV Rank
52
Middle-high premium
P/C OI
0.84
Slightly call-heavy
Consensus
6.0/10
Bullish tilt
Published snapshot: Jun 24, 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 24, 2026 close
CVNA AI Consensus Report
Analysis based on market close June 25, 2026

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

Conviction
6.0

out of 10

6 not 7 because flow bearish signals reduce alignment; not lower because GEX pinning and high IV still support defined-risk trades.

Where Perspectives Agree

Bullish pin to $67 supported by dealer gamma, high IV, and put OI concentration — all personas reinforce the magnet despite mixed flow.

Where They Diverge

Flow shows negative net premium and bearish put volume, contradicting the directional bullish thesis; earnings IV crush expectation undermines theta's short-vol positioning.

Top Trade
via earnings

Sell 2026-07-24 $67 put / buy 2026-07-31 $67 put calendar for $1.20 debit — pin and IV crush play.

Key Risk

Break below $60 flips dealer gamma long, removing pin support — accelerates to $56 put OI concentration.

How to Use These Reports
This ai consensus reflects the market close on June 25, 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.