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SPY across recent weekends and holiday weekends: Friday's close vs. the reopening print

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 2026-08-25, from Is the Stock Market Open Today?.

as of series 11×6read in context →
SPY across recent weekends and holiday weekends: Friday's close vs. the reopening print — 11 rows by 6 columns, computed from US exchange, SIP and OPRA data.
last_session_beforereopening_sessiondays_darkclose_before_breakreopening_printgap_pct
Fri 2026-06-12Mon 2026-06-153741.63751.851.38
Thu 2026-06-18Mon 2026-06-224746.56747.70.15
Fri 2026-06-26Mon 2026-06-293729.09736.521.02
Thu 2026-07-02Mon 2026-07-064744.8748.740.53
Fri 2026-07-10Mon 2026-07-133754.9752.47-0.32
Fri 2026-07-17Mon 2026-07-203743.2747.060.52
Fri 2026-07-24Mon 2026-07-273738.85744.910.82
Fri 2026-07-31Mon 2026-08-033746.81749.440.35
Fri 2026-08-07Mon 2026-08-103773.2772.6-0.08
Fri 2026-08-14Mon 2026-08-173776.3776.18-0.02
Fri 2026-08-21Mon 2026-08-243766.95763.28-0.48
Rows × columns
11 × 6
Period covered
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 SPY across recent weekends and holiday weekends: Friday's close vs. the reopening print, derived from the stored result.
ColumnTypeRangeNotes
last_session_before text 11 distinct values
reopening_session date Mon 2026-0
days_dark number 3 to 4
close_before_break text 11 distinct values (729.09, 738.85, 741.63…)
reopening_print text 11 distinct values (736.52, 744.91, 747.06…)
gap_pct number -0.48 to 1.38 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.

the exact SQL behind every number
WITH daily AS (
    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           round(argMin(toFloat64(open), window_start), 2) AS open_px,
           round(argMax(toFloat64(close), window_start), 2) AS close_px
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= today() - 75
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY d
),
paired AS (
    SELECT d,
           open_px,
           lagInFrame(d) OVER (ORDER BY d) AS prev_d,
           lagInFrame(close_px) OVER (ORDER BY d) AS prev_close
    FROM daily
)
SELECT concat(formatDateTime(prev_d, '%a '), toString(prev_d)) AS last_session_before,
       concat(formatDateTime(d, '%a '), toString(d)) AS reopening_session,
       dateDiff('day', prev_d, d) AS days_dark,
       toString(prev_close) AS close_before_break,
       toString(open_px) AS reopening_print,
       round((open_px - prev_close) / prev_close * 100, 2) AS gap_pct
FROM paired
WHERE prev_close > 0 AND dateDiff('day', prev_d, d) >= 3
ORDER BY d

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