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HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.94EOD only
Max Pain
$80.00
Next expiry Jun 18, 2026
Expected Move
±$0.32
0.4% from close
Price Gap
+0.06
Distance to max pain
IV Rank
30
Middle-high premium
P/C OI
3.84
Slightly put-heavy
Consensus
7.0/10
Bearish tilt
Published snapshot: Jun 12, 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 12, 2026 close
HYG AI Consensus Report
Analysis based on market close June 15, 2026
DirectionalTheta GangFlowEarningsConsensus

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

Conviction
7.0

out of 10

7 not 8 because theta's bullish put credit spread introduces a structural conflict that reduces perfect alignment; strong agreement between directional and flow keeps conviction above neutral.

Where Perspectives Agree

All three personas agree on bearish bias with negative dealer gamma (-$2.3B) and heavy put flow pinning HYG to $80 max pain, with downside risk to $79.

Where They Diverge

Theta's put credit spread (sell $80/$79) is bullish on price, directly contradicting directional and flow's bearish thesis.

Top Trade
via directional

Buy 2026-07-02 $79.50/$79.00 bear put spread for $0.20 debit.

Key Risk

Break below $79 triggers gamma flip, invalidating pin thesis and accelerating selling to $78 or lower.

How to Use These Reports
This ai consensus reflects the market close on June 15, 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.