STRASMORE/EXPLORE 2,500 QUERIES

et_clock_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 2026-09-23, from dax-futures-fdax-fdxm-fdxs.

as of ranking 8×3read in context →
et_clock_volume — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_hourvolume_millionsshare_of_volume_pct
09:008.9514.3
10:008.8314.1
11:009.8915.8
12:006.911
13:005.118.2
14:004.537.2
15:0015.2324.4
16:002.974.8
Rows × columns
8 × 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 et_clock_volume, derived from the stored result.
ColumnTypeRangeNotes
et_hour text 8 distinct values (09:00, 10:00, 11:00…)
volume_millions number 2.97 to 15.23 count
share_of_volume_pct number 4.8 to 24.4 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.

WITH bars AS
(
    SELECT
        formatDateTime(toStartOfHour(toTimeZone(window_start, 'America/New_York')), '%H:00') AS et_hour,
        toFloat64(volume) AS vol
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'EWG'
      AND window_start >= '2026-06-01 00:00:00'
      AND window_start <  '2026-09-01 00:00:00'
),
totals AS
(
    SELECT sum(vol) AS all_vol
    FROM bars
)
SELECT
    et_hour,
    round(sum(vol) / 1e6, 2)                 AS volume_millions,
    round(100 * sum(vol) / any(all_vol), 1)  AS share_of_volume_pct
FROM bars
CROSS JOIN totals
GROUP BY et_hour
HAVING 100 * sum(vol) / any(all_vol) >= 0.5
ORDER BY et_hour
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