STRASMORE/EXPLORE 2,500 QUERIES

us_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 krx-after-hours-trading.

as of series 32×3read in context →
us_clock_volume — 32 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timeaapl_share_pctko_share_pct
04:000.2720.171
04:300.0560.035
05:000.0530.03
05:300.0520.023
06:000.050.021
06:300.0990.019
07:000.3870.057
07:300.3960.04
08:000.3750.072
08:300.4940.097
09:001.1870.212
09:3015.56913.778
10:009.0828.512
10:307.3416.783
11:006.8036.463
11:305.8095.148
12:004.8274.888
12:304.4844.389
13:004.2163.992
13:304.3463.885
14:004.994.474
14:305.4865.19
15:005.6016.343
15:3012.88420.048
16:003.914.718
16:300.4580.203
17:000.4660.082
17:300.1120.269
18:000.0570.016
18:300.0430.014
19:000.0380.01
19:300.0570.019
Rows × columns
32 × 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 us_clock_volume, derived from the stored result.
ColumnTypeRangeNotes
et_time text 32 distinct values (04:00, 04:30, 05:00…)
aapl_share_pct number 0.038 to 15.569 percent
ko_share_pct number 0.01 to 20.048 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
    formatDateTime(toStartOfInterval(b.et_ts, INTERVAL 30 MINUTE), '%H:%i')             AS et_time,
    round(100 * toFloat64(sumIf(b.volume, b.ticker = 'AAPL')) / toFloat64(any(t.aapl_total)), 3) AS aapl_share_pct,
    round(100 * toFloat64(sumIf(b.volume, b.ticker = 'KO'))   / toFloat64(any(t.ko_total)),   3) AS ko_share_pct
FROM
(
    SELECT
        ticker,
        toTimeZone(window_start, 'America/New_York') AS et_ts,
        volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'KO')
      AND window_start >= today() - 45
      AND window_start <  today() - 2
      AND toHour(toTimeZone(window_start, 'America/New_York')) >= 4
      AND toHour(toTimeZone(window_start, 'America/New_York')) < 20
) AS b
CROSS JOIN
(
    SELECT
        sumIf(volume, ticker = 'AAPL') AS aapl_total,
        sumIf(volume, ticker = 'KO')   AS ko_total
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'KO')
      AND window_start >= today() - 45
      AND window_start <  today() - 2
      AND toHour(toTimeZone(window_start, 'America/New_York')) >= 4
      AND toHour(toTimeZone(window_start, 'America/New_York')) < 20
) AS t
GROUP BY et_time
ORDER BY et_time
⌘/Ctrl + Enter

Work with this data in your AI assistant

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

More from this analysiskrx-after-hours-trading
us_quoted_spread series 24×3 closing_print series 11×2 The 2s10s spread by month, full history series 604×5 One SPY $600 LEAPS call's price over two years (expired Jan 16 2026) series 470×2 3m10y and 2s10s spreads, monthly averages over twenty years series 241×4 2s10s spread, monthly average: last 20 years series 240×2 See all 2,500 queries →