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TSLA

Tesla, Inc.Close $392.50EOD only

Max Pain

$375.00

Next expiry Apr 24, 2026

Expected Move

±$23.27

5.9% from close

Price Gap

-17.50

Distance to max pain

IV Rank

Low premium

P/C OI

0.77

Slightly call-heavy

Consensus

6.0/10

Consensus signal

Published snapshot: Apr 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

Apr 20, 2026 close

TSLA AI Consensus Report

Analysis based on market close April 21, 2026

Directional Theta Gang Flow Earnings Consensus

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

Conviction

6.0

out of 10

Score 6 because dealer gamma and rich theta make the range durable short-term, but elevated IV and the upcoming event/catalyst risk can invalidate the thesis quickly, so conviction is middling.

Where Perspectives Agree

Price is effectively pinned in the $380–$390 max-pain band with dealer gamma and theta supply keeping TSLA range-bound absent a catalyst.

Where They Diverge

Earnings-term structure (high near-term IV) implies a post-event reprice/fade risk that would break the pin and produce directional moves, which directly conflicts with flow signals pointing to institutional accumulation and continuation inside the pin.

Top Trade

via theta

Sell 2026-05-08 iron condor: sell $370/$340 put wing and sell $395/$430 call wing for net credit (expected credit ~$4.50).

Key Risk

A decisive break below $365 (sustained close and follow-through) flips dealer gamma, removes the pin and accelerates downside toward the $340 support/gap-fill, invalidating the range/theta thesis.

How to Use These Reports

This ai consensus reflects the market close on April 21, 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.