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SPY daily bar volume vs. the regular-session slice (trailing 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 2026-10-24, from US Stocks 23/5 Trading: The December 2026 Plan.

as of series 20×5read in context →
SPY daily bar volume vs. the regular-session slice (trailing month) — 20 rows by 5 columns, computed from US exchange, SIP and OPRA data.
session_datesession_labeldaily_bar_millionsregular_session_millionsoutside_regular_pct
2026-09-24Sep 244433.723.44
2026-09-25Sep 2536.731.214.95
2026-09-28Sep 2842.73713.4
2026-09-29Sep 2936.931.614.4
2026-09-30Sep 3062.145.926.14
2026-10-01Oct 147.740.914.22
2026-10-02Oct 246.339.215.34
2026-10-05Oct 544.837.117.28
2026-10-06Oct 636.13016.83
2026-10-07Oct 73126.314.99
2026-10-08Oct 840.432.918.52
2026-10-09Oct 922.619.613.41
2026-10-12Oct 1218.716.99.77
2026-10-13Oct 1325.922.214.34
2026-10-14Oct 1455.74813.77
2026-10-15Oct 1543.336.615.42
2026-10-16Oct 1664.454.914.66
2026-10-19Oct 1938.732.216.81
2026-10-20Oct 20353014.4
2026-10-21Oct 2131.92812.35
Rows × columns
20 × 5
Period covered
to
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 daily bar volume vs. the regular-session slice (trailing month), derived from the stored result.
ColumnTypeRangeNotes
session_date date 2026-09-24 to 2026-10-21
session_label text 20 distinct values (Oct 1, Oct 12, Oct 13…)
daily_bar_millions number 18.7 to 64.4
regular_session_millions number 16.9 to 54.9
outside_regular_pct number 9.77 to 26.14 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
    toString(daily.date)                                                                AS session_date,
    concat(formatDateTime(daily.date, '%b'), ' ', toString(toDayOfMonth(daily.date)))   AS session_label,
    round(toFloat64(daily.day_volume) / 1e6, 1)                                         AS daily_bar_millions,
    round(toFloat64(intraday.regular_volume) / 1e6, 1)                                  AS regular_session_millions,
    round(100 * (toFloat64(daily.day_volume) - toFloat64(intraday.regular_volume))
              / toFloat64(daily.day_volume), 2)                                         AS outside_regular_pct
FROM
(
    SELECT
        date,
        max(volume) AS day_volume
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date >= today() - 30
      AND date <  today() - 2
    GROUP BY date
) AS daily
INNER JOIN
(
    SELECT
        toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS et_date,
        sumIf(toFloat64(size), has(conditions, 8)
              OR (toHour(toTimeZone(sip_timestamp, 'America/New_York')) * 60
                  + toMinute(toTimeZone(sip_timestamp, 'America/New_York'))) BETWEEN 570 AND 959) AS regular_volume
    FROM global_markets.stocks_trades
    WHERE ticker = 'SPY'
      AND sip_timestamp >= today() - 30
      AND sip_timestamp <  today() - 2
      AND NOT hasAny(conditions, [15, 16, 38])
    GROUP BY et_date
    HAVING countIf(has(conditions, 8)) > 0
) AS intraday ON intraday.et_date = daily.date
ORDER BY daily.date
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More from this analysisUS Stocks 23/5 Trading: The December 2026 Plan
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