This page reflects LYG 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 — LYG
Data as of market close Oct 2, 2026
Nearest listed expiration 2026-10-16 shows max pain at $6.00 (0.50 above spot). Use this page to evaluate pin-risk zones, strike pressure, and open-interest concentration before selecting trade structure.
Max Pain Strike
$6.00
Nearest expiry
Expected Move
±$0.55
±10.0%
Days to Expiry
14
Calendar days
Total Call OI
25,848
Nearest expiry
Total Put OI
1,451
Nearest expiry
P/C OI Ratio
0.06
Put-heavy
Spot Price
$5.50
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
$6.00
8/21/2026, 11:20:52 PM
2026-09-18
$6.00
9/18/2026, 11:20:50 PM
2026-10-16NextUpdated
$6.00
10/2/2026, 11:21:02 PM
2027-01-15
$6.00
10/2/2026, 11:21:02 PM
2027-04-16
$4.00
10/2/2026, 11:21:02 PM
Selected expiration: 2026-10-16 at max pain $6.00.
LYG pain by strike for 2026-10-16 expiration
Strike
Call Pain
Put Pain
Total Pain
1
0
589200
589200
2
100
444100
444200
3
200
299000
299200
4
300
155200
155500
5
500
15600
16100
6
11000
1200
12200
7
2554000
800
2554800
8
5138600
500
5139100
9
7723300
300
7723600
10
10308100
100
10308200
11
12892900
0
12892900
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.