AAPL realized volatility: 20-session against 60-session lookback
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 2026-09-26, from Historical Volatility vs Implied Volatility.
| date | hv_20d_pct | hv_60d_pct |
|---|---|---|
| 2025-11-17 | 16 | 22.9 |
| 2025-11-20 | 15 | 22.9 |
| 2025-11-25 | 14.9 | 23.1 |
| 2025-12-01 | 15.5 | 22.1 |
| 2025-12-04 | 16.8 | 20.8 |
| 2025-12-09 | 17 | 20.6 |
| 2025-12-12 | 15.2 | 20.5 |
| 2025-12-17 | 15.2 | 18.2 |
| 2025-12-22 | 13.7 | 17.9 |
| 2025-12-26 | 12.5 | 17.9 |
| 2025-12-31 | 9.8 | 17.8 |
| 2026-01-06 | 11.3 | 18.2 |
| 2026-01-09 | 11.1 | 16.6 |
| 2026-01-14 | 10.6 | 16.1 |
| 2026-01-20 | 15.4 | 15.6 |
| 2026-01-23 | 15.1 | 14.5 |
| 2026-01-28 | 19.7 | 16 |
| 2026-02-02 | 25.1 | 18.1 |
| 2026-02-05 | 24.9 | 18.8 |
| 2026-02-10 | 25.5 | 18.5 |
| 2026-02-13 | 32.9 | 21.5 |
| 2026-02-19 | 32.3 | 22.6 |
| 2026-02-24 | 31.9 | 22.7 |
| 2026-02-27 | 34.1 | 23.4 |
| 2026-03-04 | 30.9 | 23.2 |
| 2026-03-09 | 29.5 | 23.4 |
| 2026-03-12 | 29.8 | 23.7 |
| 2026-03-17 | 21.2 | 24 |
| 2026-03-20 | 20.4 | 24.1 |
| 2026-03-25 | 18.7 | 24.3 |
| 2026-03-30 | 16.2 | 24.5 |
| 2026-04-02 | 19.9 | 24.9 |
| 2026-04-08 | 22.4 | 25.7 |
| 2026-04-13 | 19.6 | 25.7 |
| 2026-04-16 | 21.1 | 25.3 |
| 2026-04-21 | 24.5 | 26.4 |
| 2026-04-24 | 26.2 | 26.2 |
| 2026-04-29 | 24.1 | 25.2 |
| 2026-05-04 | 26.6 | 25.6 |
| 2026-05-07 | 25.7 | 26 |
| 2026-05-12 | 25.9 | 23.4 |
| 2026-05-15 | 22.9 | 22.5 |
| 2026-05-20 | 19.2 | 22.1 |
| 2026-05-26 | 17.4 | 21 |
| 2026-05-29 | 17.2 | 21 |
| 2026-06-03 | 17.9 | 22.1 |
| 2026-06-08 | 19 | 22.3 |
| 2026-06-11 | 23.3 | 23.2 |
| 2026-06-16 | 24.8 | 23.3 |
| 2026-06-22 | 24.6 | 23.5 |
| 2026-06-25 | 32 | 26.8 |
| 2026-06-30 | 35.8 | 27.5 |
| 2026-07-06 | 38.9 | 28.5 |
| 2026-07-09 | 35.3 | 28.5 |
| 2026-07-14 | 34.7 | 28 |
| 2026-07-17 | 36.4 | 28.1 |
| 2026-07-22 | 37.5 | 28.1 |
| 2026-07-27 | 28.6 | 28.8 |
| 2026-07-30 | 28.5 | 28.4 |
| 2026-08-04 | 38.2 | 32.7 |
| 2026-08-07 | 38 | 32.5 |
| 2026-08-12 | 35.3 | 32.6 |
| 2026-08-17 | 34.2 | 32.6 |
| 2026-08-20 | 36 | 33.1 |
| 2026-08-25 | 32.6 | 33 |
| 2026-08-28 | 19 | 32.4 |
| 2026-09-02 | 18.9 | 32.5 |
| 2026-09-08 | 21.1 | 32 |
| 2026-09-11 | 23.7 | 32.5 |
| 2026-09-16 | 23.6 | 32.4 |
| 2026-09-21 | 21.5 | 29.4 |
| 2026-09-24 | 21.8 | 28.5 |
- Rows × columns
- 72 × 3
- 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 |
|---|---|---|---|
date |
date | 2025-11-17 to 2026-09-24 | |
hv_20d_pct |
number | 9.8 to 38.9 | percent |
hv_60d_pct |
number | 14.5 to 33.1 | 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.
WITH
daily AS
(
SELECT
date AS session_date,
toFloat64(close) AS close_px,
lagInFrame(toFloat64(close)) OVER
(ORDER BY date ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'AAPL'
AND date >= today() - 400
AND date < today()
),
returns AS
(
SELECT
session_date,
log(close_px / prev_close) AS r,
row_number() OVER (ORDER BY session_date) AS n
FROM daily
WHERE prev_close > 0
),
rolling AS
(
SELECT
session_date,
n,
round(100 * sqrt(252) * stddevSamp(r) OVER
(ORDER BY n ROWS BETWEEN 19 PRECEDING AND CURRENT ROW), 1) AS hv_20d_pct,
round(100 * sqrt(252) * stddevSamp(r) OVER
(ORDER BY n ROWS BETWEEN 59 PRECEDING AND CURRENT ROW), 1) AS hv_60d_pct
FROM returns
)
SELECT
toString(session_date) AS date,
hv_20d_pct,
hv_60d_pct
FROM rolling
WHERE n >= 60
AND (n % 3) = 0
ORDER BY date
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