STRASMORE/EXPLORE 3,293 QUERIES

Share of volume printed outside the regular session, five names, same four weeks

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 2026-09-28, from What Are Tokenized Stocks? Rights & Settlement.

as of ranking 5×3read in context →
Share of volume printed outside the regular session, five names, same four weeks — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickeroff_hours_volume_pcttotal_volume_millions
SPY14.15705.5
NVDA8.182387.5
MSFT5.23357.1
AAPL4.1768.2
KO1.85253.7
Rows × columns
5 × 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 Share of volume printed outside the regular session, five names, same four weeks, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, KO, MSFT…)
off_hours_volume_pct number 1.85 to 14.15 percent
total_volume_millions number 253.7 to 2,387.5 count

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
    b.ticker                                                                                AS ticker,
    round(100 * sum(b.off_hours) / sum(b.bar_shares + p.closing_print), 2)                 AS off_hours_volume_pct,
    round(sum(b.bar_shares + p.closing_print) / 1e6, 1)                                     AS total_volume_millions
FROM
(
    SELECT
        ticker,
        d,
        sumIf(v, minute_of_day < 570 OR minute_of_day > 960) AS off_hours,
        sum(v)                                               AS bar_shares
    FROM
    (
        SELECT
            ticker,
            toDate(toTimeZone(window_start, 'America/New_York'))        AS d,
            toFloat64(volume)                                           AS v,
            toHour(toTimeZone(window_start, 'America/New_York')) * 60
              + toMinute(toTimeZone(window_start, 'America/New_York')) AS minute_of_day
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO')
          AND window_start >= toDateTime('2026-08-17 08:00:00', 'UTC')
          AND window_start <  toDateTime('2026-09-12 00:00:00', 'UTC')
    )
    GROUP BY ticker, d
) AS b
LEFT JOIN
(
    SELECT
        ticker,
        toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS d,
        toFloat64(maxIf(size, has(conditions, 8)))            AS closing_print
    FROM global_markets.stocks_trades
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO')
      AND sip_timestamp >= toDateTime('2026-08-17 08:00:00', 'UTC')
      AND sip_timestamp <  toDateTime('2026-09-12 00:00:00', 'UTC')
      AND toHour(toTimeZone(sip_timestamp, 'America/New_York')) = 16
      AND toMinute(toTimeZone(sip_timestamp, 'America/New_York')) < 10
    GROUP BY ticker, d
    HAVING countIf(has(conditions, 8)) > 0
) AS p ON p.ticker = b.ticker AND p.d = b.d
GROUP BY ticker
ORDER BY off_hours_volume_pct DESC
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