This page reflects GHRS options positioning from the latest published market-close snapshot. Intraday price and contract changes are not displayed.
Published Snapshot
Oct 2, 2026 close
Max Pain — GHRS
Data as of market close Oct 2, 2026
Nearest listed expiration 2027-01-15 shows max pain at $20.00 (2.94 below spot). Use this page to evaluate pin-risk zones, strike pressure, and open-interest concentration before selecting trade structure.
Max Pain Strike
$20.00
Nearest expiry
Expected Move
±$7.70
±33.6%
Days to Expiry
105
Calendar days
Total Call OI
146
Nearest expiry
Total Put OI
27
Nearest expiry
P/C OI Ratio
0.18
Put-heavy
Spot Price
$22.94
Published close
Consensus
-
Open report for full read
Max Pain by Expiration
Pain by Strike
Drill into expiration
Selected: 2027-01-15
Expiration
Max Pain Strike
Last Updated
2026-08-21
$25.00
8/21/2026, 11:14:31 PM
2026-09-18
$30.00
9/18/2026, 11:15:25 PM
2026-10-16NextUpdated
$25.00
10/2/2026, 11:15:05 PM
2027-01-15
$20.00
10/2/2026, 11:15:05 PM
2027-04-16
$30.00
10/2/2026, 11:15:05 PM
Selected expiration: 2027-01-15 at max pain $20.00.
GHRS pain by strike for 2027-01-15 expiration
Strike
Call Pain
Put Pain
Total Pain
12.5
0
44000
44000
15
250
37250
37500
17.5
500
30500
31000
20
750
24000
24750
22.5
25500
17500
43000
25
51000
11000
62000
30
105000
500
105500
35
167500
0
167500
40
233500
0
233500
45
306000
0
306000
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.