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HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.91EOD only
Max Pain
$79.50
Next expiry May 29, 2026
Expected Move
±$0.41
0.5% from close
Price Gap
-0.41
Distance to max pain
IV Rank
8
Low premium
P/C OI
3.84
Slightly put-heavy
Consensus
9.0/10
Bearish tilt
Published snapshot: May 22, 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 22, 2026 close
HYG AI Consensus Report
Analysis based on market close May 26, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
9.0

out of 10

9.0 not 10 because extreme bearish positioning (put/call OI 3.9) risks crowding and potential reversal on credit improvement.

Where Perspectives Agree

All perspectives converge on a bearish thesis targeting a decline toward $79, supported by negative dealer gamma, heavy put flow, and elevated put IV.

Where They Diverge

No significant conflicts; all three personas align on bearish bias and downside risk.

Top Trade
via directional

Buy Jun 18 $79.50/$78.50 put spread for $0.50 debit

Key Risk

Break below $79 flips dealer gamma long and triggers stop-loss cascades, accelerating downside toward $78.

How to Use These Reports
This ai consensus reflects the market close on May 26, 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.