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Shares traded per 30-minute bucket, regular hours, closing auction prints in the final bucket (billions)

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 2026-09-28, from Market Recap: June 29, 2026, The Day in Numbers.

as of series 13×4read in context →
Shares traded per 30-minute bucket, regular hours, closing auction prints in the final bucket (billions) — 13 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timeshares_bnpct_of_biggest_bucketpct_above_trough
09:302.359.8199.9
10:001.949.3147.6
10:301.4236.985.1
11:001.233260.6
11:301.128.643.7
12:000.9123.718.8
12:300.852210.4
13:000.922420.2
13:300.7719.90
14:000.8221.26.4
14:300.8221.47.4
15:001.0527.336.9
15:303.85100401.8
Rows × columns
13 × 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 Shares traded per 30-minute bucket, regular hours, closing auction prints in the final bucket (billions), derived from the stored result.
ColumnTypeRangeNotes
et_time text 13 distinct values (09:30, 10:00, 10:30…)
shares_bn number 0.77 to 3.85 count
pct_of_biggest_bucket number 19.9 to 100 percent
pct_above_trough number 0 to 401.8 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
    et_time,
    round(sum(shares) / 1e9, 2) AS shares_bn,
    round(100 * sum(shares) / max(sum(shares)) OVER (), 1) AS pct_of_biggest_bucket,
    round(100 * (sum(shares) / min(sum(shares)) OVER () - 1), 1) AS pct_above_trough
FROM
(
    SELECT
        formatDateTime(toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
        toFloat64(volume) AS shares
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= '2026-06-29 13:30:00' AND window_start < '2026-06-29 20:00:00'
    UNION ALL
    SELECT
        '15:30' AS et_time,
        toFloat64(size) AS shares
    FROM global_markets.stocks_trades
    WHERE sip_timestamp >= '2026-06-29 20:00:00' AND sip_timestamp < '2026-06-29 20:15:00'
      AND has(conditions, 8)
)
GROUP BY et_time
ORDER BY et_time
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