thetaOwl

HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.85EOD only
Max Pain
$79.50
Next expiry Jun 26, 2026
Expected Move
±$0.26
0.3% from close
Price Gap
-0.35
Distance to max pain
IV Rank
4
Low premium
P/C OI
3.28
Slightly put-heavy
Consensus
6.5/10
Bearish tilt
Published snapshot: Jun 24, 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 24, 2026 close
HYG AI Consensus Report
Analysis based on market close June 25, 2026

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

Conviction
6.0

out of 10

6 not 7 because the gamma flip at $79 introduces binary risk that undermines the pin thesis, and extreme put activity signals potential for a break despite current pinning.

Where Perspectives Agree

All personas see bearish bias with short-term pin near $80 due to GEX and max pain, but downside risk looms below $79.

Where They Diverge

Directional and flow expect a break below $79 to accelerate selling, while theta's iron condor relies on price staying within $79-$81, directly conflicting on breakdown risk.

Top Trade
via theta

Sell 2026-07-10 $80/$81 call spread for $0.30 credit — defined risk, profits from pin, bearish coverage.

Key Risk

Break below $79 flips dealer gamma from short to long, removing pin support and triggering accelerated selling to $78 or lower.

How to Use These Reports
This ai consensus reflects the market close on June 25, 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.