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Where Friday volume sits on the clock: SPY, 15-minute buckets, full Friday sessions over the past year

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 2026-08-04, from When Is the COT Report Released?.

as of series 26×3read in context →
Where Friday volume sits on the clock: SPY, 15-minute buckets, full Friday sessions over the past year — 26 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timeshare_of_session_pctavg_volume_millions
09:306.984.79
09:455.053.46
10:005.213.57
10:154.262.92
10:303.782.59
10:454.282.94
11:004.22.88
11:153.652.5
11:303.22.2
11:453.312.27
12:002.721.87
12:152.751.89
12:302.261.55
12:452.351.61
13:002.61.78
13:152.321.59
13:302.51.72
13:452.391.64
14:002.741.88
14:152.661.82
14:302.621.8
14:4532.06
15:003.292.26
15:153.792.6
15:304.923.38
15:4513.179.03
Rows × columns
26 × 3
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 Where Friday volume sits on the clock: SPY, 15-minute buckets, full Friday sessions over the past year, derived from the stored result.
ColumnTypeRangeNotes
et_time date 09:30 to 15:45
share_of_session_pct number 2.26 to 13.17 percent
avg_volume_millions number 1.55 to 9.03 count

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
WITH raw AS (
    SELECT toTimeZone(window_start, 'America/New_York') AS et,
           volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2025-08-01 00:00:00')
      AND window_start < toDateTime('2026-08-01 00:00:00')
),
bars AS (
    SELECT toDate(et) AS session_date,
           toHour(et) * 60 + toMinute(et) AS minute_of_day,
           intDiv((toHour(et) * 60 + toMinute(et)) - 570, 15) AS bucket,
           volume AS shares
    FROM raw
    WHERE toDayOfWeek(et) = 5
      AND (toHour(et) * 60 + toMinute(et)) BETWEEN 570 AND 959
),
full_sessions AS (
    SELECT session_date
    FROM bars
    GROUP BY session_date
    HAVING sumIf(shares, minute_of_day >= 930) >= 0.05 * sum(shares)
)
SELECT formatDateTime(toDateTime(toDate('2026-01-02')) + (570 + b.bucket * 15) * 60, '%H:%i') AS et_time,
       round(100 * sum(b.shares) / sum(sum(b.shares)) OVER (), 2) AS share_of_session_pct,
       round(sum(b.shares) / uniqExact(b.session_date) / 1000000, 2) AS avg_volume_millions
FROM bars AS b
INNER JOIN full_sessions AS s ON b.session_date = s.session_date
GROUP BY b.bucket
ORDER BY b.bucket

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