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AAPL's ten deepest overnight gaps down since October 2016, and where the session low went

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 2026-10-05, from Protective Put vs Stop-Loss Order.

as of series 10×4read in context →
AAPL's ten deepest overnight gaps down since October 2016, and where the session low went — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
dategap_date_labelgap_down_pctsession_low_below_prev_close_pct
2019-01-03Jan 3, 20198.8310.08
2020-02-28Feb 28, 20205.946.27
2020-03-09Mar 9, 20208.759.01
2020-03-12Mar 12, 20207.089.96
2020-03-16Mar 16, 202012.9613.66
2020-09-08Sep 8, 20205.86.84
2024-08-05Aug 5, 20249.4510.85
2025-04-03Apr 3, 20258.210.11
2025-04-07Apr 7, 20255.947.3
2026-07-31Jul 31, 20268.5810.03
Rows × columns
10 × 4
Period covered
to
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 AAPL's ten deepest overnight gaps down since October 2016, and where the session low went, derived from the stored result.
ColumnTypeRangeNotes
date date 2019-01-03 to 2026-07-31
gap_date_label text 10 distinct values (Apr 3, 2025, Apr 7, 2025, Aug 5, 2024…)
gap_down_pct number 5.8 to 12.96 percent
session_low_below_prev_close_pct number 6.27 to 13.66 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
    toString(session_date)                    AS date,
    formatDateTime(session_date, '%b %e, %Y') AS gap_date_label,
    round(abs(overnight_move_pct), 2)         AS gap_down_pct,
    round(abs(low_vs_prev_close_pct), 2)      AS session_low_below_prev_close_pct
FROM
(
    SELECT
        session_date,
        round((toFloat64(open) / toFloat64(prev_close) - 1) * 100, 3) AS overnight_move_pct,
        round((toFloat64(low) / toFloat64(prev_close) - 1) * 100, 3)  AS low_vs_prev_close_pct
    FROM
    (
        SELECT
            session_date,
            open,
            low,
            any(close) OVER (ORDER BY session_date ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_close
        FROM
        (
            SELECT
                date       AS session_date,
                any(open)  AS open,
                any(low)   AS low,
                any(close) AS close
            FROM global_markets.stocks_daily_aggs
            WHERE ticker = 'AAPL'
              AND date >= '2016-10-01'
              AND date <= '2026-09-30'
              AND date NOT IN (SELECT execution_date FROM global_markets.stocks_splits WHERE ticker = 'AAPL')
            GROUP BY date
        )
    )
    WHERE prev_close > 0
    ORDER BY overnight_move_pct ASC
    LIMIT 10
)
ORDER BY session_date
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