STRASMORE/EXPLORE 3,293 QUERIES

AAPL trades per second around the 4:00 p.m. close, September 10, 2026

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 2026-09-17, from Nasdaq Closing Cross Explained: NOII and MOC.

as of series 20×4read in context →
AAPL trades per second around the 4:00 p.m. close, September 10, 2026 — 20 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timetradesvolume_mnpct_of_window
15:59:505640.0330.2
15:59:513630.0250.2
15:59:521420.0110.1
15:59:532640.0190.1
15:59:541990.0150.1
15:59:553400.0240.2
15:59:561610.010.1
15:59:572510.0180.1
15:59:584400.040.3
15:59:591940.0250.2
16:00:003013.31896.8
16:00:01540.1751.3
16:00:02220.0170.1
16:00:03100.0020
16:00:04120.0040
16:00:0570.0020
16:00:06120.0140.1
16:00:07100
16:00:0890.0030
16:00:09700
Rows × columns
20 × 4
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 AAPL trades per second around the 4:00 p.m. close, September 10, 2026, derived from the stored result.
ColumnTypeRangeNotes
et_time text 20 distinct values (15:59:50, 15:59:51, 15:59:52…)
trades number 1 to 564 count
volume_mn number 0 to 13.318 count
pct_of_window number 0 to 96.8 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(toTimeZone(cal.s, 'America/New_York'), '%H:%i:%S')      AS et_time,
    toUInt32(ifNull(t.trades, 0))                                          AS trades,
    round(ifNull(t.shares, 0) / 1e6, 3)                                    AS volume_mn,
    round(100 * ifNull(t.shares, 0) / sum(ifNull(t.shares, 0)) OVER (), 1) AS pct_of_window
FROM
(
    SELECT
        toDateTime('2026-09-10 19:59:50', 'UTC') + arrayJoin(range(20)) AS s,
        toUnixTimestamp(s)                                               AS ts
) AS cal
LEFT JOIN
(
    SELECT
        toUnixTimestamp(toDateTime(sip_timestamp)) AS ts,
        count()                                    AS trades,
        toFloat64(sum(size))                       AS shares
    FROM global_markets.stocks_trades
    WHERE ticker = 'AAPL'
      AND sip_timestamp >= toDateTime('2026-09-10 19:59:50', 'UTC')
      AND sip_timestamp <  toDateTime('2026-09-10 20:00:10', 'UTC')
    GROUP BY ts
) AS t ON t.ts = cal.ts
ORDER BY cal.s
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