STRASMORE/EXPLORE 3,256 QUERIES

SPY: opening and closing window share of session volume, by month

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 series 25×3read in context →
SPY: opening and closing window share of session volume, by month — 25 rows by 3 columns, computed from US exchange, SIP and OPRA data.
monthclose_window_pctopen_window_pct
2024-1012.673.54
2024-1112.713.57
2024-1214.453.11
2025-0112.163.94
2025-0212.723.55
2025-0311.242.81
2025-049.092.59
2025-059.692.96
2025-069.142.71
2025-079.122.76
2025-088.982.91
2025-099.543.19
2025-108.873.24
2025-118.493.25
2025-129.93.13
2026-018.783.57
2026-027.733.22
2026-037.642.81
2026-049.733.36
2026-0511.832.9
2026-0612.472.78
2026-0712.473.23
2026-0812.853.16
2026-0914.23.19
2026-109.83.19
Rows × columns
25 × 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 SPY: opening and closing window share of session volume, by month, derived from the stored result.
ColumnTypeRangeNotes
month text 25 distinct values (2024-10, 2024-11, 2024-12…)
close_window_pct number 7.64 to 14.45 percent
open_window_pct number 2.59 to 3.94 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(b.month_start, '%Y-%m')                                             AS month,
    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
        month_start,
        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
            toStartOfMonth(toTimeZone(window_start, 'America/New_York'))     AS month_start,
            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 = 'SPY'
          AND window_start >= toStartOfMonth(today() - 730)
          AND window_start <  today() - 2
    )
    WHERE et_minute_of_day >= 570 AND et_minute_of_day <= 959
    GROUP BY month_start
) AS b
INNER JOIN
(
    SELECT toStartOfMonth(session_date) AS month_start, sum(closing_print) AS print_shares
    FROM
    (
        SELECT
            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 = 'SPY'
          AND sip_timestamp >= toStartOfMonth(today() - 730)
          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 session_date
    )
    GROUP BY month_start
) AS p ON p.month_start = b.month_start
ORDER BY b.month_start
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