thetaOwl

HOOD

Robinhood Markets, Inc.Close $93.19EOD only
Max Pain
$81.00
Next expiry Jun 18, 2026
Expected Move
±$6.70
7.2% from close
Price Gap
-12.19
Distance to max pain
IV Rank
85
High premium
P/C OI
0.62
Slightly call-heavy
Consensus
7.5/10
Bullish tilt
Published snapshot: Jun 12, 2026 close
End-of-day snapshot

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

Published Snapshot
Jun 12, 2026 close
HOOD AI Consensus Report
Analysis based on market close June 12, 2026

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

Conviction
7.5

out of 10

7.5 not 8 because resistance at $100 and IV contraction risk could cap gains; not 7 because flow and GEX heavily support bullish pin.

Where Perspectives Agree

Bullish pin to $100 with dealer gamma support, institutional call buying, and elevated IV creating premium selling opportunities.

Where They Diverge

Directional target of $100 faces call OI wall at $100-$105, potentially capping upside despite bullish flow and earnings skew, while theta notes spot is 9.6% above max pain suggesting mean reversion risk.

Top Trade
via theta

Sell 2026-07-10 $85/$84 put spread for $0.50 credit.

Key Risk

Break below $70 flips dealer gamma long and triggers sharp downside to $60 support, invalidating all bullish theses.

How to Use These Reports
This ai consensus reflects the market close on June 12, 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.