thetaOwl

TSLA

Tesla, Inc.Close $417.26EOD only
Max Pain
$410.00
Next expiry May 22, 2026
Expected Move
±$12.60
3.0% from close
Price Gap
-7.26
Distance to max pain
IV Rank
40
Middle-high premium
P/C OI
0.74
Slightly call-heavy
Consensus
8.0/10
Bullish tilt
Published snapshot: May 20, 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
May 20, 2026 close
TSLA AI Consensus Report
Analysis based on market close May 20, 2026

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

Conviction
8.0

out of 10

8.0 not 8.5 because while all personas are bullish, the significant put accumulation and distance to earnings (63 days) introduce risk that pure pinning may not hold beyond near-term.

Where Perspectives Agree

Bullish pin towards $415-$420 supported by positive GEX, call-heavy flow, and spot above max pain.

Where They Diverge

Heavy put volume at $412.5/$410 from flow warns of downside hedging, subtly conflicting with bullish continuation thesis.

Top Trade
via theta

Sell 2026-06-12 $405/$400 put credit spread for $0.50 credit — defined risk, profits from pin above $405.

Key Risk

Break below $405 support invalidates pin thesis — flips dealer gamma long and triggers stop-loss cascade, accelerating to $380.

How to Use These Reports
This ai consensus reflects the market close on May 20, 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.