STRASMORE/EXPLORE 2,749 QUERIES

overnight_gaps

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 can-you-buy-a-put-without-owning-the-stock.

as of ranking 5×4read in context →
overnight_gaps — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
symbolavg_overnight_gap_pctlargest_up_gap_pctlargest_down_gap_pct
MSFT0.7812.18.6
NVDA1.076.34.2
KO0.445.41.9
AAPL0.513.38.6
SPY0.392.61.6
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 overnight_gaps, derived from the stored result.
ColumnTypeRangeNotes
symbol text 5 distinct values (AAPL, KO, MSFT…)
avg_overnight_gap_pct number 0.39 to 1.07 percent
largest_up_gap_pct number 2.6 to 12.1 percent
largest_down_gap_pct number 1.6 to 8.6 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
    symbol,
    round(avg(abs(gap_pct)), 2) AS avg_overnight_gap_pct,
    round(max(gap_pct), 1)      AS largest_up_gap_pct,
    round(abs(min(gap_pct)), 1) AS largest_down_gap_pct
FROM
(
    SELECT
        ticker                        AS symbol,
        100 * (open / prev_close - 1) AS gap_pct
    FROM
    (
        SELECT
            ticker,
            date,
            open,
            any(close) OVER (PARTITION BY ticker ORDER BY date
                             ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_close
        FROM
        (
            SELECT
                ticker,
                date,
                toFloat64(any(open))  AS open,
                toFloat64(any(close)) AS close
            FROM global_markets.stocks_daily_aggs
            WHERE ticker IN ('AAPL', 'KO', 'MSFT', 'NVDA', 'SPY')
              AND date >= today() - 400
            GROUP BY ticker, date
        )
    )
    WHERE prev_close > 0
)
GROUP BY symbol
ORDER BY largest_up_gap_pct DESC
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