thetaOwl

HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.62EOD only
Max Pain
$79.50
Next expiry Jun 12, 2026
Expected Move
±$0.34
0.4% from close
Price Gap
-0.12
Distance to max pain
IV Rank
16
Low premium
P/C OI
3.72
Slightly put-heavy
Consensus
8.5/10
Bearish tilt
Published snapshot: Jun 9, 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 9, 2026 close
HYG AI Consensus Report
Analysis based on market close June 9, 2026

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

Conviction
8.5

out of 10

8.5 not 10 because the pin risk at $80 provides a near-term counterweight, but the alignment of flow, gamma, and directional bias is strong enough to justify high conviction.

Where Perspectives Agree

All three personas converge on a bearish outlook for HYG, with heavy put flow, negative gamma, and expectation of a test or break below $79 support.

Where They Diverge

Theta highlights pin risk at $80 due to high put OI, which could keep price range-bound in the near term, mildly conflicting with directional's conviction of an imminent breakdown below $79.

Top Trade
via directional

Bearish risk reversal: buy 2026-06-26 $78 put / sell 2026-06-26 $81 call for net credit (target ~$0.50).

Key Risk

Break below $79 triggers dealer gamma flip from short to long, accelerating downside momentum toward $78 and below.

How to Use These Reports
This ai consensus reflects the market close on June 9, 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.