Overnight gap between one close and the next open, year 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 2026-10-08, from Stock Order Types Explained: The Core Four.
| symbol | avg_gap_pct | worst_gap_pct | gap_over_1pct_count |
|---|---|---|---|
| NVDA | 1.09 | 6.3 | 113 |
| MSFT | 0.83 | 12.13 | 69 |
| AAPL | 0.51 | 8.58 | 29 |
| PG | 0.48 | 5.04 | 25 |
| KO | 0.46 | 5.41 | 26 |
| SPY | 0.4 | 2.6 | 17 |
- Rows × columns
- 6 × 4
- 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 |
|---|---|---|---|
symbol |
text | 6 distinct values (AAPL, KO, MSFT…) | |
avg_gap_pct |
number | 0.4 to 1.09 | percent |
worst_gap_pct |
number | 2.6 to 12.13 | percent |
gap_over_1pct_count |
number | 17 to 113 | count |
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 sessions AS
(
SELECT
ticker,
date,
toFloat64(any(open)) AS open_px,
toFloat64(any(close)) AS close_px
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO', 'PG')
AND date >= '2025-10-01'
AND date < '2026-10-01'
GROUP BY ticker, date
),
gaps AS
(
SELECT
ticker,
abs(open_px / prev_close - 1) * 100 AS gap_pct
FROM
(
SELECT
ticker,
open_px,
lagInFrame(close_px) OVER (
PARTITION BY ticker
ORDER BY date ASC
ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_close
FROM sessions
)
WHERE prev_close > 0
)
SELECT
ticker AS symbol,
round(avg(gap_pct), 2) AS avg_gap_pct,
round(max(gap_pct), 2) AS worst_gap_pct,
countIf(gap_pct >= 1) AS gap_over_1pct_count
FROM gaps
GROUP BY ticker
ORDER BY avg_gap_pct DESC
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