thetaOwl

NFLX

Netflix, Inc.Close $81.41EOD only
Max Pain
$84.00
Next expiry Jun 12, 2026
Expected Move
±$2.10
2.6% from close
Price Gap
+2.59
Distance to max pain
IV Rank
53
Middle-high premium
P/C OI
0.81
Slightly call-heavy
Consensus
7.0/10
Bearish tilt
Published snapshot: Jun 9, 2026 close
End-of-day snapshot

This page reflects NFLX options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.

Published Snapshot
Jun 9, 2026 close
NFLX AI Consensus Report
Analysis based on market close June 9, 2026

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

Conviction
7.0

out of 10

7 not higher because while directional, flow, and earnings agree on bearish direction, the vol conflict and binary $75 level reduce certainty. Not lower because three personas have high confidence in their bearish view.

Where Perspectives Agree

Bearish bias with key $75 support; all personas expect downside pressure and caution.

Where They Diverge

Theta recommends selling volatility (call spreads) while earnings suggests long volatility (strangle) for the earnings move, creating a direct conflict on vol exposure.

Top Trade
via directional

Buy 2026-07-17 $75/$70 bear put spread for net debit around $2.50

Key Risk

Break below $75 flips dealer gamma short and confirms downside acceleration, targeting $70 or lower.

How to Use These Reports
This ai consensus reflects the market close on June 9, 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.