State Street SPDR S&P Global Infrastructure ETF (GII) Options History

Historical options analytics archive for GII with monthly max pain, implied volatility, gamma exposure, and put/call data.

72 months of complete options data available.

GII monthly aggregates over the last 6 months: ATM IV, max pain, net GEX, and put/call ratioAverage ATM IVAverage ATM IV15%20%25%30%35%40%26-0126-0226-0326-0426-0526-06MonthIVMonth-End Max PainMonth-End Max Pain$66$68$70$72$74$76$7826-0226-0326-0326-0426-0426-0526-0526-0626-06MonthStrike ($)Month-End Net GEXMonth-End Net GEX-$30.0K-$25.0K-$20.0K-$15.0K-$10.0K-$5.0K$026-0126-0226-0326-0426-0526-06MonthGEXAverage P/C RatioAverage P/C Ratio0.000.020.040.060.080.100.120.1426-0426-0426-0426-0526-0526-05MonthP/C
Month-by-month aggregates from the GII daily snapshot archive. IV and P/C are averages across days in the month; max pain and net GEX are end-of-month values.

GII monthly aggregates

Month-by-month rollups derived from the daily snapshot archive for GII. Volatility and put/call columns are averages across trading days within the month; max pain, net GEX, and net DEX are the end-of-month values (last trading day of the month).

MonthDaysAvg ATM IVAvg IV RankEnd Max PainEnd Net GEXEnd Net DEXAvg P/C
2026-062117.7%3.0%$78.00-$32.6K$242.3K-
2026-052018.9%3.3%$78.00-$19.0K$235.9K0.00
2026-042120.8%2.9%$74.00-$34.2K$137.0K0.14
2026-032244.7%13.2%$66.00-$590-$4.3K-
2026-021914.6%4.7%$72.00-$99-$7.6K-
2026-012015.9%5.7%-$103-$7.0K-

This archive aggregates GII's daily end-of-day options snapshots into monthly summaries, spanning 2007-02 through 2026-06. Each month rolls up the underlying snapshot archive, which provides continuous end-of-day coverage from 2007 to present: implied-volatility levels, IV rank, and the put/call ratio are time-averaged across the month; total call and put volume are summed; and dealer positioning (net gamma and delta exposure) and the max-pain strike are taken at the month's final trading day. The result is a long-horizon view of how GII option pricing, volatility regime, and dealer hedging pressure evolved month over month, useful for backtesting strategy assumptions and for studying volatility-regime shifts around earnings and macro events. The most recent aggregated month (2026-06) shows an average ATM implied volatility near 17.7%, a month-end max-pain strike around $78.00.

2026

Jan | Feb | Mar | Apr | May | Jun

2025

Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec

2024

Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec

2023

Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec

2022

Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec

2021

Jun | Jul | Aug | Sep | Oct | Nov | Dec

2007

Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec

Frequently asked GII history questions

How much options history is available for GII?
This archive holds 72 months of GII options analytics, spanning 2007-02 through 2026-06. Each entry is a monthly rollup of GII's daily end-of-day options snapshot record, which provides continuous coverage from 2007 to present. Use the year-grouped links on this page to jump to any specific month within the GII archive.
What data does each monthly GII aggregate contain?
Every monthly row summarizes that month of GII option activity: time-averaged ATM implied volatility and IV rank, the month-end max-pain strike, end-of-month net dealer gamma (GEX) and delta (DEX) exposure, the average put/call ratio, and total call and put volume. For example, 2026-06 recorded an average ATM implied volatility near 17.7%, an average IV rank of 3.0%, a month-end max-pain strike around $78.00.
How is the GII options-history archive built and how often does it update?
The archive is derived from GII's daily end-of-day options snapshots, which capture spot, the full listed chain, implied volatility, and dealer-positioning exposures each trading day. Those daily records are rolled up into the monthly summaries shown here and refreshed as new end-of-day data lands. Traders use the long-horizon view to backtest strategy assumptions, study how GII's volatility regime shifts around earnings and macro events, and compare current dealer positioning against historical norms.