thetaOwl
HomeOptionsCVNAReports

CVNA

Carvana Co.Close $66.19EOD only
Max Pain
$67.00
Next expiry Jun 5, 2026
Expected Move
±$2.13
3.2% from close
Price Gap
+0.81
Distance to max pain
IV Rank
56
Middle-high premium
P/C OI
0.87
Slightly call-heavy
Consensus
6.5/10
Bullish tilt
Published snapshot: Jun 4, 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 4, 2026 close
CVNA AI Consensus Report
Analysis based on market close June 4, 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 flow is mixed (net negative premium despite positive GEX), reducing conviction in pure bullish pin.

Where Perspectives Agree

Bullish tilt with range-bound pin near $67, supported by dealer gamma and call accumulation.

Where They Diverge

Theta's short put spread expects support at $60, but earnings' elevated put skew suggests hedging for downside break — conflicting directional bias.

Top Trade
via theta

Sell 2026-06-26 $60/$55 put spread for $0.85 credit — defined-risk bull put spread, profits from pin above support.

Key Risk

Break below $60 flips dealer gamma long, removing support — accelerates to $55 gap fill.

How to Use These Reports
This ai consensus reflects the market close on June 4, 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.