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HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.43EOD only
Max Pain
$80.00
Next expiry Jun 12, 2026
Expected Move
±$0.54
0.7% from close
Price Gap
+0.57
Distance to max pain
IV Rank
13
Low premium
P/C OI
3.78
Slightly put-heavy
Consensus
9.0/10
Bearish tilt
Published snapshot: Jun 5, 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 5, 2026 close
HYG AI Consensus Report
Analysis based on market close June 8, 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 structure conflicts with bearish consensus; if Theta's trade is a hedge, conviction rises to 8.5.

Where Perspectives Agree

Bearish pin to $79 — negative dealer gamma, put-heavy flow, and low vol all reinforce downside break risk.

Where They Diverge

Theta recommends selling put credit spread (bullish) while Directional and Flow are bearish — incompatible trade direction suggests divergent risk views.

Top Trade
via directional

Buy June 26 $79.50 put for ~$0.30 — direct bearish exposure, limited risk.

Key Risk

Break below $79 flips dealer gamma long, accelerating decline to $78.20 support.

How to Use These Reports
This ai consensus reflects the market close on June 8, 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.