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Share of regular-session volume in the opening and closing auction prints, July 2026

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 NYSE Imbalance Messages: How to Read Them.

as of ranking 6×3read in context →
Share of regular-session volume in the opening and closing auction prints, July 2026 — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickeropening_print_pctclosing_print_pct
JPM1.928.67
PG2.5122.75
JNJ2.0120.12
HD1.6918.35
KO2.1618.16
XOM1.6117.7
Rows × columns
6 × 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 Share of regular-session volume in the opening and closing auction prints, July 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (HD, JNJ, JPM…)
opening_print_pct number 1.61 to 2.51 percent
closing_print_pct number 17.7 to 28.67 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
    ticker,
    round(100 * sum(opening_print) / sum(closing_print + session_shares), 2) AS opening_print_pct,
    round(100 * sum(closing_print) / sum(closing_print + session_shares), 2) AS closing_print_pct
FROM
(
    SELECT
        ticker,
        toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS trade_date,
        toFloat64(maxIf(size, has(conditions, 17))) AS opening_print,
        toFloat64(maxIf(size, has(conditions, 8)))  AS closing_print,
        toFloat64(sumIf(size, NOT hasAny(conditions, [8, 15, 16, 38])
            AND toHour(toTimeZone(sip_timestamp, 'America/New_York')) * 60
              + toMinute(toTimeZone(sip_timestamp, 'America/New_York')) BETWEEN 570 AND 959)) AS session_shares
    FROM global_markets.stocks_trades
    WHERE ticker IN ('JNJ', 'JPM', 'KO', 'PG', 'HD', 'XOM')
      AND sip_timestamp >= '2026-07-01 00:00:00'
      AND sip_timestamp <  '2026-08-01 00:00:00'
    GROUP BY ticker, trade_date
    HAVING countIf(has(conditions, 8)) > 0
)
GROUP BY ticker
HAVING sum(session_shares) > 0
ORDER BY closing_print_pct DESC
⌘/Ctrl + Enter

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