STRASMORE/EXPLORE 2,985 QUERIES

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 30, 2026, The Day in Numbers.

as of series 13×3read in context →
Shares traded per 30-minute bucket, regular hours, closing auction prints in the final bucket (billions) — 13 rows by 3 columns, computed from US exchange, SIP and OPRA data.
et_timeshares_bnpct_of_biggest_bucket
09:302.0544.3
10:001.5533.5
10:301.3629.4
11:001.1925.7
11:300.9721
12:000.919.5
12:300.8819
13:000.8217.7
13:300.7816.9
14:000.817.3
14:300.9219.9
15:001.0823.3
15:304.63100
Rows × columns
13 × 3
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 0.78 to 4.63 count
pct_of_biggest_bucket number 16.9 to 100 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
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 >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00'
    UNION ALL
    SELECT
        '15:30' AS et_time,
        toFloat64(size) AS shares
    FROM global_markets.stocks_trades
    WHERE sip_timestamp >= '2026-06-30 20:00:00' AND sip_timestamp < '2026-06-30 20:15:00'
      AND has(conditions, 8)
)
GROUP BY et_time
ORDER BY et_time
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More from this analysisMarket Recap: June 30, 2026, The Day in Numbers
The news feed on June 30: article count and the day's last headline for each name in this recap series 7×5 → The six busiest option contracts of June 30, by contracts traded series 6×7 → Q2 2026 end to end: each index ETF from the April 1 open to the June 30 close, regular hours series 4×7 → Volume leaders two ways: top 6 by dollars traded, top 4 by shares traded (one reused-symbol listing excluded pending entity verification) table 10×6 → The ten S&P sector funds on June 30: change vs Monday's close, and how far each sat behind the leader table 10×7 → Top 5 gainers and top 5 decliners among names with $10M+ traded on June 30 (one reused-symbol listing excluded) table 10×8 → See all 2,985 queries →