STRASMORE/EXPLORE 2,948 QUERIES

widest_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 2026-10-02, from amzn-premarket-and-after-hours-prices.

as of ranking 8×3read in context →
widest_gaps — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
labelovernight_gap_pctday_session_move_pct
Aug 2, 2024-9.410.69
May 12, 20259.14-0.98
Aug 5, 2024-8.154.42
Aug 1, 2025-7.22-1.13
Nov 1, 20246.76-0.54
Apr 3, 2025-6.64-2.51
Apr 4, 2025-6.312.31
Feb 2, 20246.221.55
Rows × columns
8 × 3
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 widest_gaps, derived from the stored result.
ColumnTypeRangeNotes
label text 8 distinct values (Apr 3, 2025, Apr 4, 2025, Aug 1, 2025…)
overnight_gap_pct number -9.41 to 9.14 percent
day_session_move_pct number -2.51 to 4.42 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
        date,
        any(toFloat64(open))  AS open_px,
        any(toFloat64(close)) AS close_px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'AMZN'
      AND date >= '2023-10-01'
      AND date <  '2025-10-01'
    GROUP BY date
),
gapped AS
(
    SELECT
        date,
        open_px,
        close_px,
        any(close_px) OVER (ORDER BY date ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_close
    FROM daily
)
SELECT
    formatDateTime(date, '%b %e, %Y')          AS label,
    round(100 * (open_px / prev_close - 1), 2) AS overnight_gap_pct,
    round(100 * (close_px / open_px - 1), 2)   AS day_session_move_pct
FROM gapped
WHERE prev_close > 0
ORDER BY abs(open_px / prev_close - 1) DESC
LIMIT 8
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