thetaOwl

HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.83EOD only
Max Pain
$79.50
Next expiry Jun 5, 2026
Expected Move
±$0.19
0.2% from close
Price Gap
-0.33
Distance to max pain
IV Rank
2
Low premium
P/C OI
3.84
Slightly put-heavy
Consensus
9.0/10
Bearish tilt
Published snapshot: Jun 4, 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 4, 2026 close
HYG AI Consensus Report
Analysis based on market close June 4, 2026

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

Conviction
9.0

out of 10

9 out of 10 because all three reports have 9/10 confidence and reinforce each other; notch down from 10 due to missing earnings persona and potential pin behavior limiting downside velocity.

Where Perspectives Agree

All personas strongly agree on bearish bias with high confidence: put flow dominance, negative gamma -$1.7B, and pin at $80 imply downside risk toward $79 support.

Where They Diverge

No major conflicts; all three personas (directional, theta, flow) align on bearish thesis and recommend bear put spreads or short call spreads.

Top Trade
via theta

Sell 2026-06-18 $80.50/$81.00 call spread for $0.15 credit — defined risk, profits from pin at $80, and aligned with bearish flow and low IV.

Key Risk

Break below $79 triggers dealer gamma flip and accelerated downside to $78.50, invalidating the pin thesis and confirming bearish continuation.

How to Use These Reports
This ai consensus reflects the market close on June 4, 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.