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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 2026-09-14, from US Stocks 23/5 Trading: The December 2026 Plan.

as of series 19×5read in context →
SPY daily bar volume vs. the regular-session slice (trailing month) — 19 rows by 5 columns, computed from US exchange, SIP and OPRA data.
session_datesession_labeldaily_bar_millionsregular_session_millionsoutside_regular_pct
2026-08-17Aug 1734.428.417.44
2026-08-18Aug 1843.934.421.62
2026-08-19Aug 1940.33123.11
2026-08-20Aug 2045.53816.61
2026-08-21Aug 2139.233.714.06
2026-08-24Aug 2432.427.216.01
2026-08-25Aug 2527.42412.45
2026-08-26Aug 2628.822.920.41
2026-08-27Aug 2734.628.816.74
2026-08-28Aug 2836.731.613.96
2026-08-31Aug 3138.829.823.25
2026-09-01Sep 141.132.221.78
2026-09-02Sep 229.622.424.22
2026-09-03Sep 343.535.518.41
2026-09-04Sep 434.126.821.39
2026-09-08Sep 844.731.828.85
2026-09-09Sep 932.827.516.23
2026-09-10Sep 1042.737.312.82
2026-09-11Sep 1145.536.918.93
Rows × columns
19 × 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 2026-08-17 to 2026-09-11
session_label text 19 distinct values (Aug 17, Aug 18, Aug 19…)
daily_bar_millions number 27.4 to 45.5
regular_session_millions number 22.4 to 38
outside_regular_pct number 12.45 to 28.85 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.

the exact SQL behind every number
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(window_start, 'America/New_York')) AS et_date,
        sum(volume)                                          AS regular_volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= today() - 30
      AND window_start <  today() - 2
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
    GROUP BY et_date
) AS intraday ON intraday.et_date = daily.date
ORDER BY daily.date

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