STRASMORE/EXPLORE 3,214 QUERIES

volume_split

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 2026-10-08, from us-premarket-and-after-hours-east-africa-time.

as of ranking 5×4read in context →
volume_split — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerpremarket_pctregular_pctafterhours_pct
NVDA4.3589.965.69
MSFT2.6892.065.26
SPY2.5782.4414.99
AAPL1.8993.624.49
KO0.7992.716.51
Rows × columns
5 × 4
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_split, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, KO, MSFT…)
premarket_pct number 0.79 to 4.35 percent
regular_pct number 82.44 to 93.62 percent
afterhours_pct number 4.49 to 14.99 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
    ticker,
    round(100 * toFloat64(sumIf(volume, et_minute >= 240 AND et_minute < 570))
              / toFloat64(sum(volume)), 2) AS premarket_pct,
    round(100 * toFloat64(sumIf(volume, et_minute >= 570 AND et_minute < 960))
              / toFloat64(sum(volume)), 2) AS regular_pct,
    round(100 * toFloat64(sumIf(volume, et_minute >= 960))
              / toFloat64(sum(volume)), 2) AS afterhours_pct
FROM
(
    SELECT
        ticker,
        volume,
        toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York')) AS et_minute
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'KO', 'SPY')
      AND window_start >= '2026-09-01'
      AND window_start <  '2026-10-01'
)
WHERE et_minute >= 240 AND et_minute < 1200
GROUP BY ticker
ORDER BY premarket_pct DESC
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