This page reflects NIC 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 — NIC
Data as of market close Oct 2, 2026
Nearest listed expiration 2026-10-16 shows max pain at $145.00 (21.47 below spot). Use this page to evaluate pin-risk zones, strike pressure, and open-interest concentration before selecting trade structure.
Max Pain Strike
$145.00
Nearest expiry
Expected Move
±$4.25
±2.5%
Days to Expiry
14
Calendar days
Total Call OI
304
Nearest expiry
Total Put OI
22
Nearest expiry
P/C OI Ratio
0.07
Put-heavy
Spot Price
$166.47
Published close
Consensus
-
Open report for full read
Max Pain by Expiration
Pain by Strike
Drill into expiration
Selected: 2026-10-16
Expiration
Max Pain Strike
Last Updated
2026-08-21
$165.00
8/21/2026, 11:23:44 PM
2026-09-18
$165.00
9/18/2026, 11:24:53 PM
2026-10-16NextUpdated
$145.00
10/2/2026, 11:23:40 PM
2027-01-15
$155.00
10/2/2026, 11:23:40 PM
Selected expiration: 2026-10-16 at max pain $145.00.
NIC pain by strike for 2026-10-16 expiration
Strike
Call Pain
Put Pain
Total Pain
105
0
99000
99000
110
0
88000
88000
125
0
55000
55000
140
0
25000
25000
145
2500
20000
22500
160
25000
5000
30000
165
32500
2500
35000
170
122000
0
122000
175
214000
0
214000
180
364000
0
364000
190
667000
0
667000
220
1579000
0
1579000
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.