STRASMORE/EXPLORE 2,882 QUERIES

randzeiten_volumen

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 2026-10-01, from us-market-volume-by-hour-german-time.

as of ranking 16×3read in context →
randzeiten_volumen — 16 rows by 3 columns, computed from US exchange, SIP and OPRA data.
berlin_zeitvolumen_anteil_pctvolumen_mrd_aktien
10:000.450.06
11:000.140.02
12:000.160.02
13:000.620.08
14:000.930.12
15:0015.612.08
16:0016.352.18
17:0012.231.63
18:009.941.33
19:008.481.13
20:009.081.21
21:0019.292.58
22:005.330.71
23:000.920.12
00:000.290.04
01:000.170.02
Rows × columns
16 × 3
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for randzeiten_volumen, derived from the stored result.
ColumnTypeRangeNotes
berlin_zeit text 16 distinct values (00:00, 01:00, 10:00…)
volumen_anteil_pct number 0.14 to 19.29 percent
volumen_mrd_aktien number 0.02 to 2.58

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
    berlin_zeit,
    round(100 * stunden_volumen / sum(stunden_volumen) OVER (), 2) AS volumen_anteil_pct,
    round(stunden_volumen / 1e9, 2)                                AS volumen_mrd_aktien
FROM
(
    SELECT
        modulo(berlin_stunde + 14, 24)                          AS sitzungsordnung,
        concat(leftPad(toString(berlin_stunde), 2, '0'), ':00')  AS berlin_zeit,
        sum(volume)                                             AS stunden_volumen
    FROM
    (
        SELECT
            toHour(toTimeZone(window_start, 'Europe/Berlin')) AS berlin_stunde,
            volume
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO')
          AND window_start >= '2026-07-01'
          AND window_start <  '2026-09-26'
    )
    GROUP BY berlin_stunde, berlin_zeit
)
ORDER BY sitzungsordnung
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.