AAPL median shares per traded minute, and the share of minutes that traded at all (ET)
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 2026-10-11, from Premarket and After-Hours Trading Hours (ET).
| et_time | median_minute_volume | pct_minutes_traded |
|---|---|---|
| 04:00 | 654 | 81 |
| 04:30 | 433 | 71 |
| 05:00 | 420 | 68.1 |
| 05:30 | 418 | 66 |
| 06:00 | 382 | 68.9 |
| 06:30 | 496 | 70.6 |
| 07:00 | 1041 | 93.7 |
| 07:30 | 909 | 91 |
| 08:00 | 1231 | 96.7 |
| 08:30 | 1418 | 95.7 |
| 09:00 | 3103 | 99 |
| 09:30 | 114597 | 100 |
| 10:00 | 70123 | 100 |
| 10:30 | 52268 | 100 |
| 11:00 | 46786 | 100 |
| 11:30 | 43573 | 100 |
| 12:00 | 39392 | 100 |
| 12:30 | 31564 | 100 |
| 13:00 | 29898 | 100 |
| 13:30 | 30733 | 100 |
| 14:00 | 32305 | 100 |
| 14:30 | 36519 | 100 |
| 15:00 | 45853 | 100 |
| 15:30 | 76204 | 100 |
| 16:00 | 1175 | 92.7 |
| 16:30 | 539 | 81.3 |
| 17:00 | 270 | 62.9 |
| 17:30 | 284 | 58.4 |
| 18:00 | 325 | 64.3 |
| 18:30 | 286 | 61.3 |
| 19:00 | 222 | 61.7 |
| 19:30 | 361 | 76.2 |
- Rows × columns
- 32 × 3
- 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 |
|---|---|---|---|
et_time |
text | 32 distinct values (04:00, 04:30, 05:00…) | |
median_minute_volume |
number | 222 to 114,597 | count |
pct_minutes_traded |
number | 58.4 to 100 | 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 full_sessions AS (
SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS session_date
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'AAPL'
AND window_start >= now() - INTERVAL 30 DAY
AND toDate(toTimeZone(window_start, 'America/New_York')) < toDate(toTimeZone(now(), 'America/New_York'))
GROUP BY session_date
HAVING max(toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 1140
)
SELECT formatDateTime(toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
round(quantileDeterministic(0.5)(toFloat64(volume), toUInt64(window_start))) AS median_minute_volume,
round(100 * count() / (30 * max(uniqExact(toDate(toTimeZone(window_start, 'America/New_York')))) OVER ()), 1) AS pct_minutes_traded
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'AAPL'
AND window_start >= now() - INTERVAL 30 DAY
AND toDate(toTimeZone(window_start, 'America/New_York')) IN (SELECT session_date FROM full_sessions)
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 240 AND 1199
GROUP BY et_time
ORDER BY et_time
在你的 AI 助手中使用这些数据
打开即可查询，已带上本页数据。免费，无需账号。