profil_horaire
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 2026-10-09, from us-stock-market-hours-paris-time.
| creneau_paris | volume_millions | part_pct |
|---|---|---|
| 10h | 4.7 | 0.25 |
| 11h | 1.8 | 0.09 |
| 12h | 2.7 | 0.14 |
| 13h | 9.1 | 0.47 |
| 14h | 18.6 | 0.97 |
| 15h | 195.3 | 10.15 |
| 16h | 251 | 13.04 |
| 17h | 216.8 | 11.27 |
| 18h | 161.1 | 8.37 |
| 19h | 142.9 | 7.42 |
| 20h | 187.5 | 9.74 |
| 21h | 468.2 | 24.33 |
| 22h | 244.5 | 12.7 |
| 23h | 13.9 | 0.72 |
| 00h | 4.8 | 0.25 |
| 01h | 1.7 | 0.09 |
- 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 |
|---|---|---|---|
creneau_paris |
text | 16 distinct values (00h, 01h, 10h…) | |
volume_millions |
number | 1.7 to 468.2 | count |
part_pct |
number | 0.09 to 24.33 | 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.
SELECT
concat(formatDateTime(toTimeZone(a.window_start, 'Europe/Paris'), '%H'), 'h') AS creneau_paris,
round(sum(a.volume) / 1e6, 1) AS volume_millions,
round(100 * sum(a.volume) / max(tot.total), 2) AS part_pct
FROM global_markets.delayed_stocks_minute_aggs AS a
CROSS JOIN
(
SELECT sum(volume) AS total
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= today() - 70
AND window_start < today() - 2
) AS tot
WHERE a.ticker = 'SPY'
AND a.window_start >= today() - 70
AND a.window_start < today() - 2
GROUP BY
formatDateTime(toTimeZone(a.window_start, 'Europe/Paris'), '%H'),
(toHour(toTimeZone(a.window_start, 'Europe/Paris')) + 14) % 24
ORDER BY (toHour(toTimeZone(a.window_start, 'Europe/Paris')) + 14) % 24
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