thetaOwl

HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.86EOD only
Max Pain
$79.50
Next expiry May 22, 2026
Expected Move
±$0.31
0.4% from close
Price Gap
-0.36
Distance to max pain
IV Rank
9
Low premium
P/C OI
3.92
Slightly put-heavy
Consensus
7.5/10
Bearish tilt
Published snapshot: May 20, 2026 close
End-of-day snapshot

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

Published Snapshot
May 20, 2026 close
HYG 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
7.5

out of 10

7.5 not 9 because the conflict between selling vs buying puts reduces signal alignment, even though the bearish direction is unanimous.

Where Perspectives Agree

All personas converge on a bearish thesis with $79 as the critical gamma flip level.

Where They Diverge

Theta recommends selling put credit spreads (bearish too, but selling premium) while flow shows aggressive institutional put buying — opposite positioning within the same bearish view.

Top Trade
via directional

Buy Jun 18 $79/$78 bear put spread for $0.40 debit — defined risk, targets gamma break below $79.

Key Risk

Break below $79 flips dealer gamma from short to long, triggering stop-loss cascade and accelerating downside toward $78.

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.