thetaOwl

HYG

iShares iBoxx High Yield Corporate Bond ETFClose $79.87EOD only
Max Pain
$80.00
Next expiry May 15, 2026
Expected Move
±$0.24
0.3% from close
Price Gap
+0.13
Distance to max pain
IV Rank
22
Low premium
P/C OI
5.31
Slightly put-heavy
Consensus
5.5/10
Range bias
Published snapshot: May 12, 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
May 12, 2026 close
HYG AI Consensus Report
Analysis based on market close May 13, 2026

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

Conviction
5.5

out of 10

5.5 not higher because the conflicting trade structures (bullish theta vs bearish directional/flow) reduce alignment; a higher score would require consensus on direction.

Where Perspectives Agree

All three personas converge on short-term pin near $80 with downside vulnerability beneath $79, supported by negative dealer gamma and bearish flow.

Where They Diverge

Theta recommends selling put spreads betting on pin, directly conflicting with Flow and Directional who expect downside break below $79 — these are incompatible time horizons.

Top Trade
via directional

Buy 2026-06-12 $79.00 / sell 2026-06-12 $82.00 bearish risk reversal for net credit approximately $0.50

Key Risk

Break below $79 flips dealer gamma from negative to positive, removing the pin and accelerating downside toward $78 or lower.

How to Use These Reports
This ai consensus reflects the market close on May 13, 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.