STRASMORE/EXPLORE 2,948 QUERIES

extended_hours_clock

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 2026-10-02, from amzn-premarket-and-after-hours-prices.

as of ranking 16×3read in context →
extended_hours_clock — 16 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_houravg_shares_thousandsshare_of_day_pct
04:0047.30.13
05:0035.60.09
06:0040.30.11
07:0071.60.19
08:00399.31.06
09:007475.219.79
10:006445.217.06
11:004371.811.57
12:0034509.13
13:003169.78.39
14:003902.310.33
15:006865.818.18
16:001247.83.3
17:001450.38
18:0061.90.16
19:0041.90.11
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 extended_hours_clock, derived from the stored result.
ColumnTypeRangeNotes
et_hour text 16 distinct values (04:00, 05:00, 06:00…)
avg_shares_thousands number 35.6 to 7,475.2 count
share_of_day_pct number 0.09 to 19.79 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 hourly AS
(
    SELECT
        formatDateTime(toStartOfHour(toTimeZone(window_start, 'America/New_York')), '%H:%i') AS et_hour,
        round(sum(volume)
              / countDistinct(toDate(toTimeZone(window_start, 'America/New_York')))
              / 1000, 1)                                                                     AS avg_shares_thousands
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'AMZN'
      AND window_start >= '2025-09-02 04:00:00'
      AND window_start <  '2025-10-01 04:00:00'
    GROUP BY et_hour
)
SELECT
    et_hour,
    avg_shares_thousands,
    round(100 * avg_shares_thousands / sum(avg_shares_thousands) OVER (), 2) AS share_of_day_pct
FROM hourly
ORDER BY et_hour
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