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HYG

iShares iBoxx High Yield Corporate Bond ETFClose $80.03EOD only
Max Pain
$80.00
Next expiry Jun 18, 2026
Expected Move
±$0.35
0.4% from close
Price Gap
-0.03
Distance to max pain
IV Rank
47
Middle-high premium
P/C OI
3.86
Slightly put-heavy
Consensus
7.0/10
Bearish tilt
Published snapshot: Jun 16, 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 16, 2026 close
HYG AI Consensus Report
Analysis based on market close June 17, 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 the conflict between theta's bullish put spread and the bearish flow/gamma reduces alignment; conviction would increase if flow confirms support or breakdown accelerates.

Where Perspectives Agree

All perspectives identify $79 as pivotal support; negative dealer gamma and heavy put flow reinforce bearish bias despite theta's opposing bullish trade.

Where They Diverge

Theta recommends a put credit spread (bullish on $79 holding), directly contradicting directional and flow bearish thesis expecting a breakdown below $79.

Top Trade
via directional

Buy 2026-07-17 $79.00/$78.00 put spread for $0.45 debit

Key Risk

Break below $79 flips dealer gamma long and triggers accelerated selling to $78 gap fill, invalidating the theta pin thesis.

How to Use These Reports
This ai consensus reflects the market close on June 17, 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.