hourly_volume
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 2026-10-08, from us-premarket-and-after-hours-east-africa-time.
| eat_time | spy_shares_millions | aapl_shares_millions |
|---|---|---|
| 11:00 | 0.1 | 0.1 |
| 12:00 | 0.04 | 0.03 |
| 13:00 | 0.07 | 0.04 |
| 14:00 | 0.2 | 0.11 |
| 15:00 | 0.44 | 0.17 |
| 16:00 | 4.12 | 5.63 |
| 17:00 | 5.22 | 5.62 |
| 18:00 | 4.81 | 4.2 |
| 19:00 | 3.27 | 3.14 |
| 20:00 | 2.93 | 3 |
| 21:00 | 4.32 | 3.37 |
| 22:00 | 10.78 | 6.15 |
| 23:00 | 5.88 | 1.3 |
| 00:00 | 0.36 | 0.11 |
| 01:00 | 0.12 | 0.04 |
| 02:00 | 0.04 | 0.03 |
- Rows × columns
- 16 × 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 |
|---|---|---|---|
eat_time |
text | 16 distinct values (00:00, 01:00, 02:00…) | |
spy_shares_millions |
number | 0.04 to 10.78 | count |
aapl_shares_millions |
number | 0.03 to 6.15 | count |
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(toTimeZone(window_start, 'Africa/Nairobi'), '%H:00') AS eat_time,
round(toFloat64(sumIf(volume, ticker = 'SPY'))
/ countDistinct(toDate(toTimeZone(window_start, 'America/New_York'))) / 1e6, 2) AS spy_shares_millions,
round(toFloat64(sumIf(volume, ticker = 'AAPL'))
/ countDistinct(toDate(toTimeZone(window_start, 'America/New_York'))) / 1e6, 2) AS aapl_shares_millions
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'AAPL')
AND window_start >= '2026-09-01'
AND window_start < '2026-10-01'
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) >= 240
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) < 1200
GROUP BY eat_time
ORDER BY min(window_start)
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