STRASMORE/EXPLORE 2,985 QUERIES

auction_share_by_session

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 2026-10-03, from closing-auction-share-of-daily-volume.

as of series 42×3read in context →
auction_share_by_session — 42 rows by 3 columns, computed from US exchange, SIP and OPRA data.
sessionauction_pctday_volume_millions
2026-08-0326.8623.2
2026-08-0419.4717.1
2026-08-0519.4715.9
2026-08-0624.7913.6
2026-08-0728.2411.2
2026-08-1021.0913.7
2026-08-1136.1516
2026-08-1217.7212.7
2026-08-1324.4510.1
2026-08-1421.449.2
2026-08-1715.9212.1
2026-08-1820.6612.5
2026-08-1913.5616
2026-08-2017.6314.9
2026-08-2117.8415.6
2026-08-2416.6114.8
2026-08-2516.9711.9
2026-08-2617.3217.1
2026-08-2726.2813.5
2026-08-2815.919.9
2026-08-3139.4923.8
2026-09-0124.3314.8
2026-09-0230.118.5
2026-09-0322.8513.8
2026-09-0416.1417.3
2026-09-0812.9719.4
2026-09-0918.4712.3
2026-09-1021.0812
2026-09-1120.3310
2026-09-1412.3514.1
2026-09-1518.213.2
2026-09-1644.4717.1
2026-09-1740.8216.6
2026-09-1841.0528
2026-09-2131.5818.1
2026-09-2234.617.3
2026-09-2321.5313
2026-09-2416.0513.2
2026-09-2516.5212.2
2026-09-2818.3414.5
2026-09-2922.1613.7
2026-09-3029.8515.8
Rows × columns
42 × 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 auction_share_by_session, derived from the stored result.
ColumnTypeRangeNotes
session date 2026-08-03 to 2026-09-30
auction_pct number 12.35 to 44.47 percent
day_volume_millions number 9.2 to 28 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.

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
    closing_print AS
    (
        SELECT
            toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS session,
            max(size)                                             AS auction_shares
        FROM global_markets.stocks_trades
        WHERE ticker = 'KO'
          AND sip_timestamp >= toDateTime('2026-08-03 00:00:00')
          AND sip_timestamp <  toDateTime('2026-10-01 00:00:00')
          AND toHour(toTimeZone(sip_timestamp, 'America/New_York')) = 16
          AND toMinute(toTimeZone(sip_timestamp, 'America/New_York')) = 0
        GROUP BY session
    ),
    day_volume AS
    (
        SELECT
            date        AS session,
            max(volume) AS day_shares
        FROM global_markets.stocks_daily_aggs
        WHERE ticker = 'KO'
          AND date >= '2026-08-03'
          AND date <  '2026-10-01'
        GROUP BY session
    )
SELECT
    session,
    round(100 * toFloat64(auction_shares) / toFloat64(day_shares), 2) AS auction_pct,
    round(toFloat64(day_shares) / 1e6, 1)                             AS day_volume_millions
FROM closing_print
INNER JOIN day_volume USING (session)
ORDER BY session
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