STRASMORE/EXPLORE 3,256 QUERIES

Opening and closing windows as a share of regular-session 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 2026-10-04, from MOC and MOO Order Cutoff Times: NYSE & Nasdaq.

as of ranking 8×3read in context →
Opening and closing windows as a share of regular-session volume — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickerclose_window_pctopen_window_pct
JNJ33.64.28
KO33.044.47
PG30.164.56
XOM28.913.24
AAPL23.775.28
MSFT23.515.79
NVDA18.085.16
SPY13.453.19
Rows × columns
8 × 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 Opening and closing windows as a share of regular-session volume, derived from the stored result.
ColumnTypeRangeNotes
ticker text 8 distinct values (AAPL, JNJ, KO…)
close_window_pct number 13.45 to 33.6 percent
open_window_pct number 3.19 to 5.79 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.

SELECT
    b.ticker                                                                           AS ticker,
    round(100 * (b.close_bars + p.print_shares) / (b.session_bars + p.print_shares), 2) AS close_window_pct,
    round(100 * b.open_bars / (b.session_bars + p.print_shares), 2)                     AS open_window_pct
FROM
(
    SELECT
        ticker,
        toFloat64(sumIf(volume, et_minute_of_day >= 955)) AS close_bars,
        toFloat64(sumIf(volume, et_minute_of_day <  575)) AS open_bars,
        toFloat64(sum(volume))                            AS session_bars
    FROM
    (
        SELECT
            ticker,
            toHour(toTimeZone(window_start, 'America/New_York')) * 60
                + toMinute(toTimeZone(window_start, 'America/New_York')) AS et_minute_of_day,
            volume
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO', 'JNJ', 'PG', 'XOM')
          AND window_start >= today() - 75
          AND window_start <  today() - 2
    )
    WHERE et_minute_of_day >= 570 AND et_minute_of_day <= 959
    GROUP BY ticker
) AS b
INNER JOIN
(
    SELECT ticker, sum(closing_print) AS print_shares
    FROM
    (
        SELECT
            ticker,
            toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS session_date,
            toFloat64(maxIf(size, has(conditions, 8)))            AS closing_print
        FROM global_markets.stocks_trades
        WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO', 'JNJ', 'PG', 'XOM')
          AND sip_timestamp >= today() - 75
          AND sip_timestamp <  today() - 2
          AND toHour(sip_timestamp, 'America/New_York') IN (13, 16)
          AND toMinute(sip_timestamp, 'America/New_York') < 10
        GROUP BY ticker, session_date
    )
    GROUP BY ticker
) AS p ON p.ticker = b.ticker
ORDER BY close_window_pct DESC
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