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.
| session_label | prior_close | session_open | gap_pct | open_side |
|---|---|---|---|---|
| Aug 5, 2024 | 219.86 | 199.09 | 9.45 | below |
| Jul 31, 2026 | 333.43 | 304.81 | 8.58 | below |
| Apr 3, 2025 | 223.89 | 205.54 | 8.2 | below |
| May 3, 2024 | 173.03 | 186.64 | 7.87 | above |
| Apr 14, 2025 | 198.15 | 211.44 | 6.71 | above |
| May 12, 2025 | 198.53 | 210.97 | 6.27 | above |
| Apr 7, 2025 | 188.38 | 177.2 | 5.93 | below |
| Apr 10, 2025 | 198.85 | 189.06 | 4.92 | below |
- Rows × columns
- 8 × 5
- 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 |
|---|---|---|---|
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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