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Share of SPY's regular-session volume by five-minute ET bucket

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 2026-11-07, from MOC and MOO Order Cutoff Times: NYSE & Nasdaq.

as of series 79×2read in context →
Share of SPY's regular-session volume by five-minute ET bucket — 79 rows by 2 columns, computed from US exchange, SIP and OPRA data.
et_timepct_of_session_volume
09:303.292
09:351.675
09:401.545
09:451.789
09:501.348
09:551.332
10:001.479
10:051.31
10:101.241
10:151.203
10:201.266
10:251.346
10:301.231
10:351.046
10:401.137
10:451.066
10:501.07
10:551.157
11:001.207
11:051.159
11:101.065
11:151.519
11:201.15
11:250.921
11:300.916
11:351.078
11:400.909
11:450.824
11:500.815
11:550.775
12:001.003
12:050.719
12:100.656
12:150.796
12:200.739
12:250.711
12:300.847
12:350.631
12:400.681
12:450.768
12:500.752
12:550.729
13:000.791
13:050.684
13:100.795
13:150.651
13:200.867
13:250.742
13:300.657
13:350.68
13:400.734
13:450.757
13:500.638
13:550.724
14:001.151
14:050.848
14:100.746
14:150.787
14:200.784
14:250.788
14:301.158
14:351.081
14:400.919
14:450.939
14:501.294
14:550.993
15:001.219
15:051.017
15:101.108
15:151.229
15:201.352
15:251.225
15:301.49
15:351.589
15:401.782
15:452.684
15:504.287
15:5510.052
16:003.852
Rows × columns
79 × 2
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 Share of SPY's regular-session volume by five-minute ET bucket, derived from the stored result.
ColumnTypeRangeNotes
et_time text 79 distinct values (09:30, 09:35, 09:40…)
pct_of_session_volume number 0.631 to 10.052 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 buckets AS
(
    SELECT
        formatDateTime(toDateTime(intDiv(et_minute_of_day, 5) * 5 * 60, 'UTC'), '%H:%i') AS et_time,
        toFloat64(sum(volume))                                                        AS bucket_volume
    FROM
    (
        SELECT
            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 >= today() - 75
          AND window_start <  today() - 2
    )
    WHERE et_minute_of_day >= 570 AND et_minute_of_day <= 959
    GROUP BY et_time
    UNION ALL
    SELECT
        '16:00'           AS et_time,
        sum(print_shares) AS bucket_volume
    FROM
    (
        SELECT
            toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS session_date,
            toFloat64(maxIf(size, has(conditions, 8)))            AS print_shares
        FROM global_markets.stocks_trades
        WHERE ticker = 'SPY'
          AND sip_timestamp >= today() - 75
          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
    )
)
SELECT
    et_time,
    round(100 * bucket_volume / sum(bucket_volume) OVER (), 3) AS pct_of_session_volume
FROM buckets
ORDER BY et_time
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