STRASMORE/EXPLORE 2,173 QUERIES

NVDA's largest gap-down opens and the 30 minutes that followed

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 2026-08-08, from Stop Order vs Stop-Limit Order: How Each Fills.

as of series 8×3read in context →
NVDA's largest gap-down opens and the 30 minutes that followed — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
session_dateopen_vs_prior_close_pctfirst_30m_low_vs_open_pct
2022-02-24-6.13-0.59
2022-08-08-7.83-0.82
2022-09-01-5.86-2.46
2024-08-05-14.18-1.49
2025-01-27-12.49-0.93
2025-04-03-6.26-0.24
2025-04-07-7.26-0.96
2025-04-16-6.82-0.19
Rows × columns
8 × 3
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 NVDA's largest gap-down opens and the 30 minutes that followed, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2022-02-24 to 2025-04-16
open_vs_prior_close_pct number -14.18 to -5.86 percent
first_30m_low_vs_open_pct number -2.46 to -0.19 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.

the exact SQL behind every number
WITH sessions AS
(
    SELECT
        date,
        toFloat64(open)  AS open_px,
        toFloat64(close) AS close_px,
        row_number() OVER (ORDER BY date)     AS session_n,
        row_number() OVER (ORDER BY date) + 1 AS next_session_n
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'NVDA'
      AND date >= '2021-08-01'
      AND date <  '2026-08-01'
),
gap_days AS
(
    SELECT
        cur.date                                           AS d,
        round(100 * (cur.open_px / prior.close_px - 1), 2) AS gap_pct
    FROM sessions AS cur
    INNER JOIN sessions AS prior ON cur.session_n = prior.next_session_n
    WHERE cur.date NOT IN
    (
        SELECT execution_date
        FROM global_markets.stocks_splits
        WHERE ticker = 'NVDA'
    )
    ORDER BY gap_pct ASC
    LIMIT 8
),
opening_30m AS
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York')) AS d,
        argMin(toFloat64(open), window_start)                AS first_print,
        min(toFloat64(low))                                  AS low_30m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'NVDA'
      AND window_start >= '2021-08-01'
      AND window_start <  '2026-08-01'
      AND toDate(toTimeZone(window_start, 'America/New_York')) IN (SELECT d FROM gap_days)
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 600
    GROUP BY d
)
SELECT
    toString(g.d)                                     AS session_date,
    g.gap_pct                                         AS open_vs_prior_close_pct,
    round(100 * (o.low_30m / o.first_print - 1), 2)   AS first_30m_low_vs_open_pct
FROM gap_days AS g
INNER JOIN opening_30m AS o ON o.d = g.d
ORDER BY g.d

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