This page reflects HLNE options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.
Published Snapshot
May 19, 2026 close
Max Pain — HLNE
Data as of market close May 19, 2026
Nearest listed expiration 2026-06-18 shows max pain at $90.00 (5.89 above spot). Use this page to evaluate pin-risk zones, strike pressure, and open-interest concentration before selecting trade structure.
Max Pain Strike
$90.00
Nearest expiry
Expected Move
±$12.10
±14.4%
Days to Expiry
30
Calendar days
Total Call OI
44
Nearest expiry
Total Put OI
161
Nearest expiry
P/C OI Ratio
3.66
Put-heavy
Spot Price
$84.11
Published close
Consensus
-
Open report for full read
Max Pain by Expiration
Pain by Strike
Drill into expiration
Selected: 2026-06-18
Expiration
Max Pain Strike
Last Updated
2026-04-17
$105.00
4/17/2026, 11:14:11 PM
2026-05-15
$95.00
5/15/2026, 11:17:13 PM
2026-06-18NextUpdated
$90.00
5/19/2026, 11:14:56 PM
2026-08-21
$105.00
5/19/2026, 11:14:56 PM
2026-11-20
$80.00
5/19/2026, 11:14:56 PM
Selected expiration: 2026-06-18 at max pain $90.00.
HLNE pain by strike for 2026-06-18 expiration
Strike
Call Pain
Put Pain
Total Pain
60
0
293000
293000
65
0
227500
227500
70
0
163500
163500
75
0
100000
100000
80
0
59000
59000
85
0
23500
23500
90
1000
10500
11500
95
15500
0
15500
100
34000
0
34000
110
72000
0
72000
115
94000
0
94000
120
116500
0
116500
How to Read Max Pain
Compare pin-risk and strike-pressure across expirations from the latest published close.
What max pain measures
Max pain is the strike where option holders would collectively lose the most at expiration, based on open interest across the listed chain.
How traders use it
It is most useful as a possible pinning zone, especially when spot is already trading near a crowded strike into expiration.
What can break it
Strong directional flows, news, or fast spot moves can overwhelm any pinning tendency, so max pain should support a thesis rather than drive it alone.
The closer you are to expiration, the more useful this becomes as context and the less useful it is as a standalone prediction.