thetaOwl

TSLA

Tesla, Inc.Close $381.61EOD only
Max Pain
$402.50
Next expiry Jun 24, 2026
Expected Move
±$8.32
2.2% from close
Price Gap
+20.89
Distance to max pain
IV Rank
9
Low premium
P/C OI
0.73
Slightly call-heavy
Consensus
6.0/10
Bearish tilt
Published snapshot: Jun 23, 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 23, 2026 close
TSLA 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 the bearish flow signal is strong enough to cap conviction; a clear pin would raise to 8.

Where Perspectives Agree

Bullish pin to 375-380 with dealer short gamma amplifying any directional break, supported by elevated IV and heavy call accumulation near 375-380.

Where They Diverge

Flow's heavy negative net premium (-$704M) and put buying at 375/377.5 suggest downside risk, contradicting the bullish gamma squeeze thesis from directional and theta.

Top Trade
via theta

Sell Jul17 Iron Condor: 350/325 put wing and 410/440 call wing for ~$2.50 credit; profits from pin at 375-380.

Key Risk

Break below $347.83 flips dealer gamma long and triggers stop-loss cascade, accelerating downside to $300.

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.