thetaOwl

HOOD

Robinhood Markets, Inc.Close $76.75EOD only
Max Pain
$78.00
Next expiry May 15, 2026
Expected Move
±$3.31
4.3% from close
Price Gap
+1.25
Distance to max pain
IV Rank
41
Middle-high premium
P/C OI
0.70
Slightly call-heavy
Consensus
7.0/10
Bullish tilt
Published snapshot: May 13, 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
May 13, 2026 close
HOOD AI Consensus Report
Analysis based on market close May 13, 2026

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

Conviction
6.0

out of 10

6 not 7 because the conflicting signals between bullish flow/call buying and the rangebound thesis reduce alignment; higher alignment would require clearer break of resistance or support.

Where Perspectives Agree

All personas converge on a pinning scenario between $70 and $78, with max pain at $78 and dealer gamma supporting the range.

Where They Diverge

Directional and flow's bullish call buying point to upside toward $78, directly contradicting earnings and theta's iron condor strategies that profit from rangebound action and expect resistance to hold.

Top Trade
via theta

Sell 2026-06-12 $75/$70 put spread and $78/$80 call spread for $0.75 credit (iron condor).

Key Risk

Break below $70 triggers dealer gamma flip to short, accelerating downside to $70 support failure and further decline to $66.

How to Use These Reports
This ai consensus reflects the market close on May 13, 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.