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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 2026-08-22, 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
09:303.141
09:351.868
09:401.611
09:451.732
09:501.565
09:551.38
10:001.579
10:051.243
10:101.335
10:151.433
10:201.29
10:251.316
10:301.381
10:351.139
10:401.066
10:451.163
10:501.225
10:551.029
11:001.064
11:051.021
11:100.901
11:151
11:200.955
11:251.026
11:300.995
11:350.961
11:401.239
11:451.072
11:500.941
11:550.841
12:000.945
12:051.03
12:100.801
12:151.006
12:200.811
12:250.819
12:300.86
12:350.867
12:400.766
12:450.774
12:500.662
12:550.806
13:000.829
13:050.872
13:100.795
13:150.869
13:200.81
13:250.86
13:300.848
13:350.705
13:400.707
13:450.71
13:500.799
13:550.716
14:001.154
14:050.957
14:100.901
14:150.901
14:200.814
14:250.881
14:300.944
14:350.953
14:400.983
14:451.066
14:501.021
14:550.922
15:001.168
15:051.193
15:101.25
15:151.384
15:201.406
15:251.413
15:301.768
15:351.81
15:401.864
15:452.622
15:504.112
15:559.58
16:000.751
Rows × columns
79 × 2
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 Share of SPY's regular-session volume by five-minute ET bucket, derived from the stored result.
ColumnTypeRangeNotes
et_time date 09:30 to 16:00
pct_of_session_volume number 0.662 to 9.58 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
    formatDateTime(toDateTime(bucket_minute * 60, 'UTC'), '%H:%i')        AS et_time,
    round(100 * bucket_volume / sum(bucket_volume) OVER (), 3)           AS pct_of_session_volume
FROM
(
    SELECT
        intDiv(et_minute_of_day, 5) * 5 AS bucket_minute,
        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 <= 960
    GROUP BY bucket_minute
)
ORDER BY et_time

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