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HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.94EOD only
Max Pain
$79.50
Next expiry Jun 26, 2026
Expected Move
±$0.23
0.3% from close
Price Gap
-0.44
Distance to max pain
IV Rank
2
Low premium
P/C OI
3.28
Slightly put-heavy
Consensus
6.5/10
Bearish tilt
Published snapshot: Jun 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
Jun 22, 2026 close
HYG AI Consensus Report
Analysis based on market close June 23, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
6.0

out of 10

6 not 7 because bearish flow and low IV cap conviction; not 5 because GEX and MP provide near-term support.

Where Perspectives Agree

Bullish pin near $80 with GEX support and max pain, but bearish flow and put buying suggest downside risk $79.

Where They Diverge

Flow's heavy put buying contradicts theta's short put thesis that relies on $79 support holding; directional bearish split mirrors flow but conflicts with gamma pinning.

Top Trade
via directional

Buy 2026-07-10 $78.50/$77.50 put spread for $0.40 debit.

Key Risk

Break below $79 flips dealer gamma to long, removing pin support and accelerating to $78 or lower.

How to Use These Reports
This ai consensus reflects the market close on June 23, 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.