STRASMORE/EXPLORE 3,127 QUERIES

SPY overnight gaps by weekday: every session, January 2024 through June 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 2026-07-26, from Why Do Stocks Gap Up or Down Overnight?.

as of series 5×4read in context →
SPY overnight gaps by weekday: every session, January 2024 through June 2026 — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
weekdaysessionsavg_abs_gap_pctp90_abs_gap_pct
Monday1190.521.11
Tuesday1310.360.73
Wednesday1270.390.92
Thursday1230.450.91
Friday1250.390.88
Rows × columns
5 × 4
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 overnight gaps by weekday: every session, January 2024 through June 2026, derived from the stored result.
ColumnTypeRangeNotes
weekday text 5 distinct values (Friday, Monday, Thursday…)
sessions number 119 to 131
avg_abs_gap_pct number 0.36 to 0.52 percent
p90_abs_gap_pct number 0.73 to 1.11 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 ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'][dow] AS weekday,
       count() AS sessions,
       round(avg(abs(gap_pct)), 2) AS avg_abs_gap_pct,
       round(quantileDeterministic(0.9)(abs(gap_pct), toUInt64(toYYYYMMDD(day))), 2) AS p90_abs_gap_pct
FROM (
    SELECT day, toDayOfWeek(day) AS dow,
           100 * (rth_open - prior_close) / prior_close AS gap_pct
    FROM (
        SELECT day, rth_open, lagInFrame(rth_close) OVER (ORDER BY day) AS prior_close
        FROM (
            SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS day,
                   argMinIf(toFloat64(open), window_start, rth) AS rth_open,
                   argMaxIf(toFloat64(close), window_start, rth) AS rth_close
            FROM (
            SELECT window_start, open, close,
                   toTimeZone(window_start, 'America/New_York') >= toDateTime(concat(toString(toDate(toTimeZone(window_start, 'America/New_York'))), ' 09:30:00'), 'America/New_York')
                   AND toTimeZone(window_start, 'America/New_York') < toDateTime(concat(toString(toDate(toTimeZone(window_start, 'America/New_York'))), ' 16:00:00'), 'America/New_York') AS rth
                FROM global_markets.delayed_stocks_minute_aggs
                WHERE ticker = 'SPY'
                  AND window_start >= '2023-12-28 04:00:00'
                  AND window_start < '2026-07-01 08:00:00'
            )
            GROUP BY day
        )
    )
    WHERE day >= '2024-01-01' AND prior_close > 0 AND isFinite(prior_close)
)
WHERE dow <= 5
GROUP BY dow
ORDER BY dow
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More from this analysisWhy Do Stocks Gap Up or Down Overnight?
MSFT: how the January 29, 2026 gap formed, 30-minute premarket buckets series 11×8 → Overnight gaps by ticker, H1 2026: average absolute gap and the single biggest gap series 6×5 → SPY's six biggest overnight gaps of H1 2026: and the same day's open-to-close move series 6×3 → MSFT straddle prices at the close before the gap: Jan 28, 2026, Jan 30 expiry table 4×5 → What crossed the wire during SPY's biggest overnight gap of H1 2026 table 2×3 → SPY, H1 2026: average absolute overnight gap vs average absolute intraday move scalar 1×4 → See all 3,127 queries →