Invesco RAFI Emerging Markets ETF (PXH) Options History
Historical options analytics archive for PXH with monthly max pain, implied volatility, gamma exposure, and put/call data.
141 months of complete options data available.
PXH monthly aggregates
Month-by-month rollups derived from the daily snapshot archive for PXH. 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 | 20 | 40.1% | 4.1% | - | $150 | -$3.3K | 0.50 |
| 2026-05 | 19 | 35.1% | 3.1% | - | $124 | -$4.1K | 0.00 |
| 2026-04 | 21 | 100.6% | 18.8% | $26.00 | $15.8K | -$358.0K | - |
| 2026-03 | 20 | 52.8% | 41.0% | - | $12.3K | -$184.0K | - |
| 2026-02 | 19 | 26.4% | 5.4% | $29.00 | $13.2K | -$295.4K | - |
| 2026-01 | 20 | 29.5% | 8.6% | $29.00 | $13.7K | -$243.6K | 0.00 |
This archive aggregates PXH's daily end-of-day options snapshots into monthly summaries, spanning 2007-10 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 PXH 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 40.1%, an average put/call ratio of 0.50.
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
2008
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug
2007
Frequently asked PXH history questions
- How much options history is available for PXH?
- This archive holds 141 months of PXH options analytics, spanning 2007-10 through 2026-06. Each entry is a monthly rollup of PXH'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 PXH archive.
- What data does each monthly PXH aggregate contain?
- Every monthly row summarizes that month of PXH 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 40.1%, an average IV rank of 4.1%, an average put/call ratio of 0.50.
- How is the PXH options-history archive built and how often does it update?
- The archive is derived from PXH'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 PXH's volatility regime shifts around earnings and macro events, and compare current dealer positioning against historical norms.