ADT Inc. (ADT) Options History
Historical options analytics archive for ADT with monthly max pain, implied volatility, gamma exposure, and put/call data.
145 months of complete options data available.
ADT monthly aggregates
Month-by-month rollups derived from the daily snapshot archive for ADT. 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 | 62.9% | 12.9% | $6.00 | $75.3K | -$883.7K | 0.94 |
| 2026-05 | 20 | 68.6% | 18.8% | $4.00 | $41.7K | $152.7K | 4.79 |
| 2026-04 | 21 | 58.1% | 18.2% | $8.00 | $75.9K | $281.1K | 5.21 |
| 2026-03 | 22 | 107.2% | 65.3% | $7.00 | $11.1K | $2.7M | 3.59 |
| 2026-02 | 19 | 39.3% | 49.7% | $8.00 | $322.4K | -$2.4M | 0.34 |
| 2026-01 | 20 | 29.9% | 28.5% | $8.00 | $273.2K | -$1.8M | 0.34 |
This archive aggregates ADT's daily end-of-day options snapshots into monthly summaries, spanning 2012-10 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 ADT 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 62.9%, a month-end max-pain strike around $6.00, an average put/call ratio of 0.94.
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
Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2016
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
Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec
2012
Frequently asked ADT history questions
- How much options history is available for ADT?
- This archive holds 145 months of ADT options analytics, spanning 2012-10 through 2026-06. Each entry is a monthly rollup of ADT'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 ADT archive.
- What data does each monthly ADT aggregate contain?
- Every monthly row summarizes that month of ADT 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 62.9%, an average IV rank of 12.9%, a month-end max-pain strike around $6.00, an average put/call ratio of 0.94.
- How is the ADT options-history archive built and how often does it update?
- The archive is derived from ADT'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 ADT's volatility regime shifts around earnings and macro events, and compare current dealer positioning against historical norms.