thetaOwl

TSLA

Tesla, Inc.Close $375.53EOD only
Max Pain
$395.00
Next expiry Jun 26, 2026
Expected Move
±$11.38
3.0% from close
Price Gap
+19.47
Distance to max pain
IV Rank
11
Low premium
P/C OI
0.71
Slightly call-heavy
Consensus
6.0/10
Bullish tilt
Published snapshot: Jun 24, 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 24, 2026 close
TSLA 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
6.5

out of 10

6.5 not 7.5 due to binary earnings risk in 27 days and conflicting front-week put IV, which could negate the pin thesis if spot drops through $349.

Where Perspectives Agree

Bullish pin to $390 max pain confirmed by dealer gamma support, aggressive call accumulation at 372.5-377.5, and elevated IV enabling premium collection.

Where They Diverge

Aggressive front-week call buying contradicts the extreme 158% put IV in 1DTE, indicating market pricing downside risk that near-term bullish positioning ignores.

Top Trade
via theta

Sell 2026-07-24 $370.00/$345.00 put spread for $3.00 credit

Key Risk

Break below $349 flips dealer gamma long and triggers stop-loss cascade, accelerating downside to $300 gamma flip level.

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.