NVDA: the ten largest overnight moves, July 2024 to June 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 2026-08-03, from How to Find a Stock's Earnings Date.
| gap_label | gap_pct | abs_gap_pct |
|---|---|---|
| Mon Aug 5, 2024 | -14.49 | 14.49 |
| Mon Jan 27, 2025 | -12.65 | 12.65 |
| Wed Jul 31, 2024 | 8.33 | 8.33 |
| Tue Apr 8, 2025 | 6.56 | 6.56 |
| Mon Apr 7, 2025 | -6.49 | 6.49 |
| Wed Apr 16, 2025 | -6.11 | 6.11 |
| Thu Apr 3, 2025 | -5.65 | 5.65 |
| Wed Mar 12, 2025 | 5.59 | 5.59 |
| Thu May 29, 2025 | 5.47 | 5.47 |
| Fri Aug 2, 2024 | -5.46 | 5.46 |
- Rows × columns
- 10 × 3
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
gap_label |
text | 10 distinct values | |
gap_pct |
number | -14.49 to 8.33 | percent |
abs_gap_pct |
number | 5.46 to 14.49 | 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 toDate(toTimeZone(window_start, 'America/New_York')) AS session,
argMin(close, window_start) AS first_price,
argMax(close, window_start) AS last_price
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'NVDA'
AND toDate(toTimeZone(window_start, 'America/New_York')) >= toDate('2024-07-01')
AND toDate(toTimeZone(window_start, 'America/New_York')) <= toDate('2026-06-30')
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY session
),
overnight AS (
SELECT session,
first_price,
lagInFrame(last_price) OVER (ORDER BY session
ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prior_close
FROM daily
)
SELECT formatDateTime(session, '%a %b %e, %Y') AS gap_label,
round((toFloat64(first_price) / toFloat64(prior_close) - 1) * 100, 2) AS gap_pct,
round(abs(toFloat64(first_price) / toFloat64(prior_close) - 1) * 100, 2) AS abs_gap_pct
FROM overnight
WHERE toFloat64(prior_close) > 0
AND abs(toFloat64(first_price) / toFloat64(prior_close) - 1) < 0.3
ORDER BY abs(toFloat64(first_price) / toFloat64(prior_close) - 1) DESC
LIMIT 10
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