AAPL daily volume and its trailing 20-session average, millions of shares
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 2026-10-04, from Free Stock Market Data API in Python.
| session | volume_millions | avg_20d_millions |
|---|---|---|
| 2026-08-17 | 38.2 | 51.9 |
| 2026-08-18 | 53.4 | 52.5 |
| 2026-08-19 | 50.5 | 53 |
| 2026-08-20 | 41 | 53.1 |
| 2026-08-21 | 46.9 | 53 |
| 2026-08-24 | 34.7 | 52.3 |
| 2026-08-25 | 25.9 | 51 |
| 2026-08-26 | 34 | 49.9 |
| 2026-08-27 | 32.4 | 47.8 |
| 2026-08-28 | 38.6 | 43.1 |
| 2026-08-31 | 41.2 | 41.4 |
| 2026-09-01 | 53.2 | 40.6 |
| 2026-09-02 | 33.8 | 39.8 |
| 2026-09-03 | 37.2 | 39.4 |
| 2026-09-04 | 39.6 | 39.7 |
| 2026-09-08 | 35.5 | 39.2 |
| 2026-09-09 | 65.6 | 40.6 |
| 2026-09-10 | 70 | 42 |
| 2026-09-11 | 50.7 | 42.5 |
| 2026-09-14 | 39.3 | 43.1 |
| 2026-09-15 | 31.7 | 42.8 |
| 2026-09-16 | 36 | 41.9 |
| 2026-09-17 | 36.7 | 41.2 |
| 2026-09-18 | 86.6 | 43.5 |
| 2026-09-21 | 35 | 42.9 |
| 2026-09-22 | 40.7 | 43.2 |
| 2026-09-23 | 31.7 | 43.5 |
| 2026-09-24 | 24.7 | 43 |
| 2026-09-25 | 30 | 42.9 |
| 2026-09-28 | 32.8 | 42.6 |
| 2026-09-29 | 38.5 | 42.5 |
| 2026-09-30 | 50 | 42.3 |
| 2026-10-01 | 36.3 | 42.4 |
| 2026-10-02 | 33.3 | 42.2 |
- Rows × columns
- 34 × 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 |
|---|---|---|---|
session |
date | 2026-08-17 to 2026-10-02 | |
volume_millions |
number | 24.7 to 86.6 | count |
avg_20d_millions |
number | 39.2 to 53.1 |
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
session,
volume_millions,
avg_20d_millions
FROM
(
SELECT
toString(d) AS session,
round(vol / 1e6, 1) AS volume_millions,
round(avg(vol) OVER (ORDER BY d ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) / 1e6, 1) AS avg_20d_millions,
count() OVER (ORDER BY d ROWS BETWEEN 19 PRECEDING AND CURRENT ROW) AS sessions_in_window
FROM
(
SELECT
date AS d,
toFloat64(max(volume)) AS vol
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'AAPL'
AND date >= today() - 75
AND date < today()
GROUP BY date
)
)
WHERE sessions_in_window = 20
ORDER BY session
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