thetaOwl

HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.87EOD only
Max Pain
$79.50
Next expiry Jun 26, 2026
Expected Move
±$0.18
0.2% from close
Price Gap
-0.37
Distance to max pain
IV Rank
0
Low premium
P/C OI
3.27
Slightly put-heavy
Consensus
6.0/10
Bullish tilt
Published snapshot: Jun 23, 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 23, 2026 close
HYG AI Consensus Report
Analysis based on market close June 24, 2026

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

Conviction
6.5

out of 10

6.5 out of 10 because the bearish flow and directional drift align, but the positive gamma and pinning reduce confidence below $79. One higher would require flow to confirm a breakdown catalyst; one lower if pinning held stronger.

Where Perspectives Agree

Bearish bias with pinning at $80 due to positive dealer gamma, but heavy institutional put flow signals downside risk.

Where They Diverge

Positive GEX and pinning at $80 suggest spot stability, yet the extreme put/call ratio of 3.6 and net premium outflow of -$50M anticipate a breakdown, creating tension between pinning and bearish flow.

Top Trade
via directional

Buy 2026-07-10 $79.50/$78.50 bear put spread for $0.50 debit

Key Risk

Break below $79.0 flips gamma to positive, accelerating selling to $78.5 and invalidating the pinning thesis.

How to Use These Reports
This ai consensus reflects the market close on June 24, 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.