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TSLA

Tesla, Inc.Close $405.05EOD only
Max Pain
$397.50
Next expiry Jun 24, 2026
Expected Move
±$11.47
2.8% from close
Price Gap
-7.55
Distance to max pain
IV Rank
7
Low premium
P/C OI
0.74
Slightly call-heavy
Consensus
6.0/10
Bearish tilt
Published snapshot: Jun 22, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 22, 2026 close
TSLA AI Consensus Report
Analysis based on market close June 23, 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 because theta's range-bound thesis conflicts with bearish momentum, reducing overall conviction; if spot drops below $352, conviction would rise to 8.

Where Perspectives Agree

Bearish near-term bias with downside risk to $352 support — negative GEX, bearish flow, and high IV all point lower.

Where They Diverge

Theta's iron condor assumes range-bound price action, while directional and flow see imminent downside — incompatible if TSLA breaks below $352.

Top Trade
via directional

Buy 2026-07-24 $365 put for a bearish directional play.

Key Risk

Break below $352 flips GEX and invalidates theta's range; downside accelerates to $300.

How to Use These Reports
This ai consensus reflects the market close on June 23, 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.