iv_vs_rv
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 2026-10-02, from why-would-anyone-sell-a-put-option.
| month | implied_vol_pct | realized_vol_pct_next_month | vol_spread |
|---|---|---|---|
| Jan 2024 | 23.5 | 12.3 | 11.1 |
| Feb 2024 | 19.6 | 25.3 | -5.7 |
| Mar 2024 | 21 | 23.5 | -2.5 |
| Apr 2024 | 27.1 | 24.3 | 2.9 |
| May 2024 | 21.5 | 33.2 | -11.7 |
| Jun 2024 | 22 | 24.7 | -2.7 |
| Jul 2024 | 26.7 | 23.1 | 3.6 |
| Aug 2024 | 24.8 | 23.5 | 1.4 |
| Sep 2024 | 24.2 | 21 | 3.1 |
| Oct 2024 | 26.3 | 15.1 | 11.2 |
| Nov 2024 | 19.6 | 16.3 | 3.3 |
| Dec 2024 | 18.4 | 30.6 | -12.2 |
| Jan 2025 | 27.8 | 26.1 | 1.7 |
| Feb 2025 | 23.2 | 30.9 | -7.7 |
| Mar 2025 | 28.9 | 77.5 | -48.6 |
| Apr 2025 | 41.8 | 33 | 8.9 |
| May 2025 | 30.3 | 18.3 | 12.1 |
| Jun 2025 | 27.2 | 14.4 | 12.9 |
| Jul 2025 | 29.9 | 28.7 | 1.2 |
| Aug 2025 | 25.7 | 28.5 | -2.8 |
| Sep 2025 | 23.7 | 22.8 | 0.9 |
| Oct 2025 | 28.4 | 15.2 | 13.2 |
| Nov 2025 | 23.3 | 11.9 | 11.5 |
| Dec 2025 | 19.8 | 20.2 | -0.4 |
| Jan 2026 | 27.9 | 35 | -7.2 |
| Feb 2026 | 25 | 18.9 | 6 |
| Mar 2026 | 28.8 | 23.5 | 5.3 |
| Apr 2026 | 30.1 | 17.2 | 12.9 |
| May 2026 | 23.4 | 35.3 | -11.9 |
| Jun 2026 | 24.3 | 39.3 | -15 |
| Jul 2026 | 28.8 | 18.8 | 10 |
| Aug 2026 | 24.8 | 22.5 | 2.4 |
- Rows × columns
- 32 × 4
- 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 |
text | 32 distinct values (Apr 2024, Apr 2025, Apr 2026…) | |
implied_vol_pct |
number | 18.4 to 41.8 | percent |
realized_vol_pct_next_month |
number | 11.9 to 77.5 | percent |
vol_spread |
number | -48.6 to 13.2 |
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
formatDateTime(i.m, '%b %Y') AS month,
round(i.implied_vol, 1) AS implied_vol_pct,
round(r.realized_vol, 1) AS realized_vol_pct_next_month,
round(i.implied_vol - r.realized_vol, 1) AS vol_spread
FROM
(
SELECT
toStartOfMonth(date) AS m,
addMonths(toStartOfMonth(date), 1) AS next_m,
avg(implied_volatility) * 100 AS implied_vol
FROM global_markets.options_greeks
WHERE underlying_symbol = 'AAPL'
AND delta < 0
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
AND date BETWEEN '2024-01-01' AND '2026-08-31'
GROUP BY m, next_m
) AS i
INNER JOIN
(
SELECT
toStartOfMonth(d) AS m,
stddevSamp(log(close_px / prev_px)) * sqrt(252) * 100 AS realized_vol
FROM
(
SELECT
date AS d,
close_px,
lagInFrame(close_px, 1) OVER (ORDER BY date ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_px
FROM
(
SELECT
date,
max(toFloat64(close)) AS close_px
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'AAPL'
AND date BETWEEN '2023-12-01' AND '2026-09-26'
GROUP BY date
) AS daily
) AS lagged
WHERE prev_px > 0
GROUP BY m
HAVING count() >= 15
) AS r ON r.m = i.next_m
ORDER BY i.m
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.