forward_iv
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-09-27, from how-much-to-risk-per-trade.
| month | month_label | atm_iv_pct | one_day_move_pct |
|---|---|---|---|
| 2024-09-01 | Sep 2024 | 24.6 | 1.55 |
| 2024-10-01 | Oct 2024 | 26.6 | 1.68 |
| 2024-11-01 | Nov 2024 | 19.9 | 1.25 |
| 2024-12-01 | Dec 2024 | 19.1 | 1.2 |
| 2025-01-01 | Jan 2025 | 27 | 1.7 |
| 2025-02-01 | Feb 2025 | 23.2 | 1.46 |
| 2025-03-01 | Mar 2025 | 29.1 | 1.84 |
| 2025-04-01 | Apr 2025 | 43.4 | 2.74 |
| 2025-05-01 | May 2025 | 30.8 | 1.94 |
| 2025-06-01 | Jun 2025 | 27.3 | 1.72 |
| 2025-07-01 | Jul 2025 | 29.3 | 1.85 |
| 2025-08-01 | Aug 2025 | 25 | 1.57 |
| 2025-09-01 | Sep 2025 | 23.6 | 1.49 |
| 2025-10-01 | Oct 2025 | 27.8 | 1.75 |
| 2025-11-01 | Nov 2025 | 23.4 | 1.48 |
| 2025-12-01 | Dec 2025 | 20.4 | 1.29 |
| 2026-01-01 | Jan 2026 | 27.4 | 1.72 |
| 2026-02-01 | Feb 2026 | 25.7 | 1.62 |
| 2026-03-01 | Mar 2026 | 28.6 | 1.8 |
| 2026-04-01 | Apr 2026 | 28.8 | 1.81 |
| 2026-05-01 | May 2026 | 23.5 | 1.48 |
| 2026-06-01 | Jun 2026 | 25.1 | 1.58 |
| 2026-07-01 | Jul 2026 | 29.7 | 1.87 |
| 2026-08-01 | Aug 2026 | 24.7 | 1.56 |
- Rows × columns
- 24 × 4
- Period covered
- to
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
month |
date | 2024-09-01 to 2026-08-01 | |
month_label |
text | 24 distinct values (Apr 2025, Apr 2026, Aug 2025…) | |
atm_iv_pct |
number | 19.1 to 43.4 | percent |
one_day_move_pct |
number | 1.2 to 2.74 | percent |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
SELECT
toString(month_start) AS month,
formatDateTime(month_start, '%b %Y') AS month_label,
round(100 * avg(implied_volatility), 1) AS atm_iv_pct,
round(100 * avg(implied_volatility) / sqrt(252), 2) AS one_day_move_pct
FROM
(
SELECT
toStartOfMonth(date) AS month_start,
implied_volatility
FROM global_markets.options_greeks
WHERE underlying_symbol = 'AAPL'
AND date >= '2024-09-01'
AND date < '2026-09-01'
AND iv_converged = 1
AND volume > 0
AND days_to_expiry BETWEEN 20 AND 45
AND abs(toFloat64(strike_price) / toFloat64(underlying_close) - 1) < 0.05
)
GROUP BY month_start
ORDER BY month_start
Use dis data for your AI assistant
E go open ready to query, with dis page data. Free, no account.