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The eight widest prior-close to regular-open distances in AAPL, Sep 2023 to Sep 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 2026-09-27, from Overnight Trading Order Types: Limit Only.

as of table 8×5read in context →
The eight widest prior-close to regular-open distances in AAPL, Sep 2023 to Sep 2026 — 8 rows by 5 columns, computed from US exchange, SIP and OPRA data.
session_labelprior_closesession_opengap_pctopen_side
Aug 5, 2024219.86199.099.45below
Jul 31, 2026333.43304.818.58below
Apr 3, 2025223.89205.548.2below
May 3, 2024173.03186.647.87above
Apr 14, 2025198.15211.446.71above
May 12, 2025198.53210.976.27above
Apr 7, 2025188.38177.25.93below
Apr 10, 2025198.85189.064.92below
Rows × columns
8 × 5
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 The eight widest prior-close to regular-open distances in AAPL, Sep 2023 to Sep 2026, derived from the stored result.
ColumnTypeRangeNotes
session_label text 8 distinct values (Apr 10, 2025, Apr 14, 2025, Apr 3, 2025…)
prior_close number 173.03 to 333.43 US dollars
session_open number 177.2 to 304.81 US dollars
gap_pct number 4.92 to 9.45 percent
open_side text 2 distinct values (above, below)

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
        date,
        toFloat64(any(open))  AS open_px,
        toFloat64(any(close)) AS close_px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'AAPL'
      AND date >= '2023-09-01'
      AND date <  '2026-09-01'
    GROUP BY date
),
gapped AS
(
    SELECT
        date,
        open_px,
        any(close_px) OVER (ORDER BY date ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prior_close_px
    FROM daily
)
SELECT
    formatDateTime(date, '%b %e, %Y')                    AS session_label,
    round(prior_close_px, 2)                             AS prior_close,
    round(open_px, 2)                                    AS session_open,
    round(abs(open_px / prior_close_px - 1) * 100, 2)    AS gap_pct,
    if(open_px >= prior_close_px, 'above', 'below')      AS open_side
FROM gapped
WHERE prior_close_px > 0
ORDER BY gap_pct DESC
LIMIT 8
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