STRASMORE/EXPLORE 2,433 QUERIES

auction_by_name

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 2026-09-20, from is-cross-trading-legal.

as of ranking 5×3read in context →
auction_by_name — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickeropening_cross_pctclosing_cross_pct
MSFT2.842.65
AAPL2.161.06
SPY0.910.84
NVDA1.760.25
KO4.270.18
Rows × columns
5 × 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 auction_by_name, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, KO, MSFT…)
opening_cross_pct number 0.91 to 4.27 percent
closing_cross_pct number 0.18 to 2.65 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 * toFloat64(sumIf(volume, et_min = 570)) / toFloat64(sum(volume)), 2) AS opening_cross_pct,
    round(100 * toFloat64(sumIf(volume, et_min = 960)) / toFloat64(sum(volume)), 2) AS closing_cross_pct
FROM
(
    SELECT
        ticker,
        volume,
        toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York')) AS et_min
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO')
      AND window_start >= toDateTime('2026-06-10 00:00:00', 'UTC')
      AND window_start <  toDateTime('2026-06-11 05:00:00', 'UTC')
)
GROUP BY ticker
HAVING sum(volume) > 0
ORDER BY closing_cross_pct DESC
⌘/Ctrl + Enter
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