First Trust Industrials/Producer Durables AlphaDEX Fund (FXR) Options History
Historical options analytics archive for FXR with monthly max pain, implied volatility, gamma exposure, and put/call data.
153 months of complete options data available.
FXR monthly aggregates
Month-by-month rollups derived from the daily snapshot archive for FXR. 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 | 19 | 26.7% | 21.4% | - | $0 | $0 | - |
| 2026-05 | 20 | 29.1% | 24.6% | - | $0 | $0 | - |
| 2026-04 | 19 | 28.5% | 23.9% | - | $0 | $0 | - |
| 2026-03 | 22 | 32.0% | 28.6% | - | $0 | $0 | - |
| 2026-02 | 19 | 22.3% | 15.4% | $83.00 | $7.2K | -$192.5K | 0.00 |
| 2026-01 | 20 | 19.3% | 11.4% | - | $9.7K | -$132.6K | - |
This archive aggregates FXR's daily end-of-day options snapshots into monthly summaries, spanning 2013-10 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 FXR 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 26.7%.
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
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2014
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2013
Frequently asked FXR history questions
- How much options history is available for FXR?
- This archive holds 153 months of FXR options analytics, spanning 2013-10 through 2026-06. Each entry is a monthly rollup of FXR'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 FXR archive.
- What data does each monthly FXR aggregate contain?
- Every monthly row summarizes that month of FXR 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 26.7%, an average IV rank of 21.4%.
- How is the FXR options-history archive built and how often does it update?
- The archive is derived from FXR'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 FXR's volatility regime shifts around earnings and macro events, and compare current dealer positioning against historical norms.