qqq_por_hora
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 buying-qqq-from-spain-and-mexico.
| et_time | share_pct | volume_millions |
|---|---|---|
| 08:00 | 1.58 | 10.2 |
| 09:00 | 13.46 | 87 |
| 10:00 | 15.82 | 102.2 |
| 11:00 | 12.31 | 79.5 |
| 12:00 | 9.75 | 63 |
| 13:00 | 7.98 | 51.6 |
| 14:00 | 10.27 | 66.4 |
| 15:00 | 21.67 | 140 |
| 16:00 | 7.15 | 46.2 |
- Rows × columns
- 9 × 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 | 9 distinct values (08:00, 09:00, 10:00…) | |
share_pct |
number | 1.58 to 21.67 | percent |
volume_millions |
number | 10.2 to 140 | 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
et_time,
round(100 * hour_volume / sum(hour_volume) OVER (), 2) AS share_pct,
round(hour_volume / 1000000, 1) AS volume_millions
FROM
(
SELECT
formatDateTime(toStartOfHour(toTimeZone(window_start, 'America/New_York')), '%H:%i') AS et_time,
toFloat64(sum(volume)) AS hour_volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'QQQ'
AND window_start >= toDateTime('2026-09-01 04:00:00')
AND window_start < toDateTime('2026-10-01 04:00:00')
AND toHour(toTimeZone(window_start, 'America/New_York')) BETWEEN 8 AND 16
GROUP BY et_time
)
ORDER BY et_time
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