thetaOwl

CVNA

Carvana Co.Close $64.10EOD only
Max Pain
$76.00
Next expiry Jun 18, 2026
Expected Move
±$4.46
7.0% from close
Price Gap
+11.90
Distance to max pain
IV Rank
65
High premium
P/C OI
0.86
Slightly call-heavy
Consensus
4.0/10
Consensus signal
Published snapshot: Jun 12, 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 12, 2026 close
CVNA AI Consensus Report
Analysis based on market close June 12, 2026

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

Conviction
4.0

out of 10

4 not 5 because while directional and earnings align, flow's bearish signals and negative GEX undercut conviction; a break below $60 would confirm flow's view.

Where Perspectives Agree

Key level $60 is pivotal — all personas agree break below invalidates bullish case.

Where They Diverge

Flow net premium -$9.6M and put volume dominance directly contradict directional/earnings bullish thesis, creating high uncertainty.

Top Trade
via earnings

Sell 2026-07-24 $60/$58 put spread and $67/$69 call spread for net credit — defined risk, profits from pin in $60-$67 range.

Key Risk

Break below $60 flips dealer gamma long and accelerates downside to $55 — invalidates all bullish and neutral theta strategies.

How to Use These Reports
This ai consensus reflects the market close on June 12, 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.