STRASMORE/EXPLORE 3,256 QUERIES

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 2026-10-08, from Is the Stock Market Open Today?.

as of series 10×6read in context →
SPY across recent weekends and holiday weekends: Friday's close vs. the reopening print — 10 rows by 6 columns, computed from US exchange, SIP and OPRA data.
last_session_beforereopening_sessiondays_darkclose_before_breakreopening_printgap_pct
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 2026-08-243765.69764.78-0.12
Fri 2026-08-28Mon 2026-08-313769.34767.33-0.26
Fri 2026-09-04Tue 2026-09-084770.23769.07-0.15
Fri 2026-09-11Mon 2026-09-143764.2759-0.68
Fri 2026-09-18Mon 2026-09-213761.64766.250.61
Fri 2026-09-25Mon 2026-09-283771.3768.35-0.38
Fri 2026-10-02Mon 2026-10-053769.65769.690.01
Rows × columns
10 × 6
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 10 distinct values
reopening_session text 10 distinct values
days_dark number 3 to 4
close_before_break text 10 distinct values (746.81, 761.64, 764.2…)
reopening_print text 10 distinct values (749.44, 759, 764.78…)
gap_pct number -0.68 to 0.61 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.

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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