thetaOwl

TSLA

Tesla, Inc.Close $391.00EOD only
Max Pain
$422.50
Next expiry Jun 8, 2026
Expected Move
±$11.60
3.0% from close
Price Gap
+31.50
Distance to max pain
IV Rank
72
High premium
P/C OI
0.71
Slightly call-heavy
Consensus
6.5/10
Bearish tilt
Published snapshot: Jun 5, 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 5, 2026 close
TSLA AI Consensus Report
Analysis based on market close June 8, 2026

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

Conviction
8.0

out of 10

8 not 9 because hedging at resistance and earnings uncertainty cap conviction; would be 9 if earnings were further out or resistance cleared.

Where Perspectives Agree

Bullish pin near $405 with dealer gamma support, high IV, and strong call flow — all personas align on near-term upside bias to $430.

Where They Diverge

Earnings low beat rate and expected vol crush contradict bullish continuation; put hedging at $405-410 may cap upside, conflicting with directional target of $430.

Top Trade
via theta

Sell TSLA 2026-07-17 $400/$395 put spread for $0.75 credit

Key Risk

Break below $400 flips dealer gamma long and triggers put hedging unwinds — downside accelerates to $380.

How to Use These Reports
This ai consensus reflects the market close on June 8, 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.