thetaOwl

HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.90EOD only
Max Pain
$79.50
Next expiry May 22, 2026
Expected Move
±$0.24
0.3% from close
Price Gap
-0.40
Distance to max pain
IV Rank
3
Low premium
P/C OI
3.88
Slightly put-heavy
Consensus
8.0/10
Bearish tilt
Published snapshot: May 21, 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 21, 2026 close
HYG AI Consensus Report
Analysis based on market close May 21, 2026

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

Conviction
8.0

out of 10

8 not 9 because Theta's put credit spread introduces a conflicting bullish element, though all other signals align bearishly. Removal of that trade would raise conviction to 9.

Where Perspectives Agree

All perspectives converge on bearish outlook: negative GEX, heavy put flow, and spot near max pain at $80 point to downside pressure toward $79 support.

Where They Diverge

Theta's suggested bullish put credit spread (sell $79/$77 put spread) contradicts the bearish consensus from Directional and Flow, which expect price to break below $79.

Top Trade
via directional

Buy 2026-06-26 $79/$75.50 bear put spread for a debit of approximately $0.70.

Key Risk

Break below $79 triggers dealer gamma flip from short to long, accelerating selling toward the $78.50 gap fill as put hedging and stop-losses compound downside.

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