STRASMORE/EXPLORE 2,549 QUERIES

volume_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 2026-09-24, from b3-after-market-vs-us-after-hours.

as of ranking 16×3read in context →
volume_por_hora — 16 rows by 3 columns, computed from US exchange, SIP and OPRA data.
hora_nova_yorkhora_brasiliapct_do_volume
04:0005:000.48
05:0006:000.17
06:0007:000.18
07:0008:000.7
08:0009:001.19
09:0010:0016
10:0011:0016.17
11:0012:0012.11
12:0013:009.33
13:0014:008.21
14:0015:009.13
15:0016:0018.64
16:0017:006.03
17:0018:001.26
18:0019:000.23
19:0020:000.18
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 volume_por_hora, derived from the stored result.
ColumnTypeRangeNotes
hora_nova_york text 16 distinct values (04:00, 05:00, 06:00…)
hora_brasilia text 16 distinct values (05:00, 06:00, 07:00…)
pct_do_volume number 0.17 to 18.64 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
    hora_nova_york,
    hora_brasilia,
    round(100 * volume_total / sum(volume_total) OVER (), 2) AS pct_do_volume
FROM
(
    SELECT
        concat(leftPad(toString(toHour(toTimeZone(window_start, 'America/New_York'))), 2, '0'), ':00') AS hora_nova_york,
        argMax(
            concat(leftPad(toString(toHour(toTimeZone(window_start, 'America/Sao_Paulo'))), 2, '0'), ':00'),
            window_start
        )                                                                                              AS hora_brasilia,
        sum(volume)                                                                                    AS volume_total
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO')
      AND window_start >= today() - 45
      AND window_start <  today() - 2
      AND toHour(toTimeZone(window_start, 'America/New_York')) BETWEEN 4 AND 19
    GROUP BY hora_nova_york
)
ORDER BY hora_nova_york
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