Amplify Digital Payments ETF (IPAY) Options History
Historical options analytics archive for IPAY with monthly max pain, implied volatility, gamma exposure, and put/call data.
131 months of complete options data available.
IPAY monthly aggregates
Month-by-month rollups derived from the daily snapshot archive for IPAY. 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).
| Month | Days | Avg ATM IV | Avg IV Rank | End Max Pain | End Net GEX | End Net DEX | Avg P/C |
|---|---|---|---|---|---|---|---|
| 2026-06 | 21 | 28.1% | 3.2% | $45.00 | -$8.0K | $131.6K | 0.00 |
| 2026-05 | 20 | 77.9% | 21.1% | - | -$14.1K | $176.2K | 0.00 |
| 2026-04 | 21 | 41.5% | 27.0% | $43.00 | -$16.9K | $188.0K | 5.86 |
| 2026-03 | 21 | 40.1% | 25.7% | $46.00 | -$13.3K | $294.8K | 0.00 |
| 2026-02 | 19 | 33.5% | 19.5% | $45.00 | $506 | $2.6K | 0.05 |
| 2026-01 | 20 | 31.1% | 17.0% | $50.00 | $458 | $5.0K | 0.29 |
This archive aggregates IPAY's daily end-of-day options snapshots into monthly summaries, spanning 2015-08 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 IPAY 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 28.1%, a month-end max-pain strike around $45.00, an average put/call ratio of 0.00.
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
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2020
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2019
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2018
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2017
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2016
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2015
Frequently asked IPAY history questions
- How much options history is available for IPAY?
- This archive holds 131 months of IPAY options analytics, spanning 2015-08 through 2026-06. Each entry is a monthly rollup of IPAY'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 IPAY archive.
- What data does each monthly IPAY aggregate contain?
- Every monthly row summarizes that month of IPAY 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 28.1%, an average IV rank of 3.2%, a month-end max-pain strike around $45.00, an average put/call ratio of 0.00.
- How is the IPAY options-history archive built and how often does it update?
- The archive is derived from IPAY'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 IPAY's volatility regime shifts around earnings and macro events, and compare current dealer positioning against historical norms.