STRASMORE/EXPLORE 2,830 QUERIES

Evening volume share and the gap to the official close

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 Tradegate vs Xetra: Hours and Prices.

as of ranking 6×3read in context →
Evening volume share and the gap to the official close — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
symbolpost_close_volume_pctpost_close_move_pct
MSFT12.70.191
SPY12.590.352
KO7.210.633
NVDA7.050.616
AAPL6.920.237
JNJ4.790.038
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 Evening volume share and the gap to the official close, derived from the stored result.
ColumnTypeRangeNotes
symbol text 6 distinct values (AAPL, JNJ, KO…)
post_close_volume_pct number 4.79 to 12.7 percent
post_close_move_pct number 0.038 to 0.633 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
    t.symbol                                                                      AS symbol,
    t.post_close_volume_pct                                                       AS post_close_volume_pct,
    round(abs(100 * (b.last_evening_close / t.closing_print_price - 1)), 3)       AS post_close_move_pct
FROM
(
    SELECT
        ticker                                                                        AS symbol,
        round(100 * sumIf(toFloat64(size), NOT has(conditions, 8)
                          AND toHour(toTimeZone(sip_timestamp, 'America/New_York')) * 60
                            + toMinute(toTimeZone(sip_timestamp, 'America/New_York')) >= 960)
                  / sum(toFloat64(size)), 2)                                          AS post_close_volume_pct,
        toFloat64(argMaxIf(price, size, has(conditions, 8)))                          AS closing_print_price
    FROM global_markets.stocks_trades
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO', 'JNJ')
      AND sip_timestamp >= toDateTime('2026-06-10 08:00:00')
      AND sip_timestamp <  toDateTime('2026-06-11 00:00:00')
      AND NOT hasAny(conditions, [15, 16, 38])
    GROUP BY ticker
    HAVING countIf(has(conditions, 8)) > 0
) AS t
INNER JOIN
(
    SELECT
        ticker                                                                        AS symbol,
        toFloat64(argMaxIf(close, window_start,
                           toHour(toTimeZone(window_start, 'America/New_York')) * 60
                             + toMinute(toTimeZone(window_start, 'America/New_York')) >= 960)) AS last_evening_close
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO', 'JNJ')
      AND window_start >= toDateTime('2026-06-10 08:00:00')
      AND window_start <  toDateTime('2026-06-11 00:00:00')
    GROUP BY ticker
    HAVING countIf(toHour(toTimeZone(window_start, 'America/New_York')) * 60
                     + toMinute(toTimeZone(window_start, 'America/New_York')) >= 960) > 0
) AS b ON b.symbol = t.symbol
ORDER BY post_close_volume_pct DESC
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