STRASMORE/EXPLORE 3,127 QUERIES

The most recent early-close session on the SPY tape, split by session window

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 Stock Market Hours: Open 9:30, Close 4:00 ET.

as of scalar 1×13read in context →
session date
2025-12-24
weekday
Wednesday
morning session bars
210
last bar et
16:59
last bar minute of day
1,019
total shares m
39.9
premarket pct
1.2
regular pct
89.6
post close 30min pct
7.8
evening pct
1.4
first 30min pct
10.9
last 30min pct
24.2
close minus open pct
13.3
Rows × columns
1 × 13
Period covered
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 The most recent early-close session on the SPY tape, split by session window, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2025-12-24
weekday text 1 distinct value (Wednesday)
morning_session_bars number every row is 210
last_bar_et text 1 distinct value (16:59)
last_bar_minute_of_day number every row is 1,019
total_shares_m number every row is 39.9 count
premarket_pct number every row is 1.2 percent
regular_pct number every row is 89.6 percent
post_close_30min_pct number every row is 7.8 percent
evening_pct number every row is 1.4 percent
first_30min_pct number every row is 10.9 percent
last_30min_pct number every row is 24.2 percent
close_minus_open_pct number every row is 13.3 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.

WITH
(
    SELECT max(d)
    FROM
    (
        SELECT
            toDate(toTimeZone(window_start, 'America/New_York')) AS d,
            countIf((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) AS rth_bars
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY'
          AND window_start >= today() - 400
          AND window_start < today() - 2
        GROUP BY d
        HAVING rth_bars >= 150 AND rth_bars <= 240
    )
) AS half_day
SELECT
    toString(half_day)                          AS session_date,
    formatDateTime(half_day, '%W')              AS weekday,
    b.morning_session_bars                      AS morning_session_bars,
    b.last_bar_et                               AS last_bar_et,
    b.last_bar_minute_of_day                    AS last_bar_minute_of_day,
    t.total_shares_m                            AS total_shares_m,
    t.premarket_pct                             AS premarket_pct,
    t.regular_pct                               AS regular_pct,
    t.post_close_30min_pct                      AS post_close_30min_pct,
    t.evening_pct                               AS evening_pct,
    t.first_30min_pct                           AS first_30min_pct,
    t.last_30min_pct                            AS last_30min_pct,
    round(t.last_30min_pct - t.first_30min_pct, 1) AS close_minus_open_pct
FROM
(
    SELECT
        countIf(et_min >= 570 AND et_min < 780)     AS morning_session_bars,
        formatDateTime(max(et_ts), '%H:%i')         AS last_bar_et,
        max(et_min)                                 AS last_bar_minute_of_day
    FROM
    (
        SELECT
            toTimeZone(window_start, 'America/New_York') AS et_ts,
            toHour(toTimeZone(window_start, 'America/New_York')) * 60
            + toMinute(toTimeZone(window_start, 'America/New_York')) AS et_min
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker = 'SPY'
          AND window_start >= today() - 400
          AND toDate(toTimeZone(window_start, 'America/New_York')) = half_day
    )
) AS b
CROSS JOIN
(
    SELECT
        round(sum(shares) / 1e6, 1)                                                                   AS total_shares_m,
        round(100.0 * sumIf(shares, NOT is_close AND et_min < 570) / sum(shares), 1)                  AS premarket_pct,
        round(100.0 * sumIf(shares, is_close OR (et_min >= 570 AND et_min < 780)) / sum(shares), 1)   AS regular_pct,
        round(100.0 * sumIf(shares, NOT is_close AND et_min >= 780 AND et_min < 810) / sum(shares), 1) AS post_close_30min_pct,
        round(100.0 * sumIf(shares, NOT is_close AND et_min >= 810) / sum(shares), 1)                 AS evening_pct,
        round(100.0 * sumIf(shares, NOT is_close AND et_min >= 570 AND et_min < 600) / sum(shares), 1) AS first_30min_pct,
        round(100.0 * sumIf(shares, is_close OR (et_min >= 750 AND et_min < 780)) / sum(shares), 1)   AS last_30min_pct
    FROM
    (
        SELECT
            toFloat64(size)    AS shares,
            has(conditions, 8) AS is_close,
            toHour(toTimeZone(sip_timestamp, 'America/New_York')) * 60
            + toMinute(toTimeZone(sip_timestamp, 'America/New_York')) AS et_min
        FROM global_markets.stocks_trades
        WHERE ticker = 'SPY'
          AND sip_timestamp >= toDateTime(half_day, 'America/New_York')
          AND sip_timestamp <  toDateTime(half_day + 1, 'America/New_York')
          AND NOT hasAny(conditions, [15, 16, 38])
    )
) AS t
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