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Share of regular-session volume in the opening minute, the 12:30 minute, and the closing cross, August 2026

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 Nasdaq Opening Cross Explained: 4 a.m. to 9:30.

as of ranking 5×4read in context →
Share of regular-session volume in the opening minute, the 12:30 minute, and the closing cross, August 2026 — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickeropening_minute_pctmidday_minute_pctclosing_cross_pct
AAPL2.730.2818.29
AMZN3.250.1413.94
MSFT3.120.1117.06
NVDA2.560.211.95
TSLA1.560.197.76
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 Share of regular-session volume in the opening minute, the 12:30 minute, and the closing cross, August 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, AMZN, MSFT…)
opening_minute_pct number 1.56 to 3.25 percent
midday_minute_pct number 0.11 to 0.28 percent
closing_cross_pct number 7.76 to 18.29 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
    b.ticker                                                                           AS ticker,
    round(100 * sum(b.open_minute)   / sum(b.continuous_shares + p.closing_print), 2) AS opening_minute_pct,
    round(100 * sum(b.midday_minute) / sum(b.continuous_shares + p.closing_print), 2) AS midday_minute_pct,
    round(100 * sum(p.closing_print) / sum(b.continuous_shares + p.closing_print), 2) AS closing_cross_pct
FROM
(
    SELECT
        ticker,
        d,
        sumIf(v, et_min = 570) AS open_minute,
        sumIf(v, et_min = 750) AS midday_minute,
        sum(v)                 AS continuous_shares
    FROM
    (
        SELECT
            ticker,
            toDate(toTimeZone(window_start, 'America/New_York'))        AS d,
            toHour(toTimeZone(window_start, 'America/New_York')) * 60
              + toMinute(toTimeZone(window_start, 'America/New_York')) AS et_min,
            toFloat64(volume)                                           AS v
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'AMZN', 'TSLA')
          AND window_start >= '2026-08-03 04:00:00'
          AND window_start <  '2026-09-01 04:00:00'
    )
    WHERE et_min BETWEEN 570 AND 959
    GROUP BY ticker, d
) AS b
INNER 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', 'AMZN', 'TSLA')
      AND sip_timestamp >= '2026-08-03 04:00:00'
      AND sip_timestamp <  '2026-09-01 04:00:00'
      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
HAVING sum(b.continuous_shares) > 0
ORDER BY ticker
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