AAPL's ten deepest overnight gaps down since October 2016, and where the session low went
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 2026-10-05, from Protective Put vs Stop-Loss Order.
| date | gap_date_label | gap_down_pct | session_low_below_prev_close_pct |
|---|---|---|---|
| 2019-01-03 | Jan 3, 2019 | 8.83 | 10.08 |
| 2020-02-28 | Feb 28, 2020 | 5.94 | 6.27 |
| 2020-03-09 | Mar 9, 2020 | 8.75 | 9.01 |
| 2020-03-12 | Mar 12, 2020 | 7.08 | 9.96 |
| 2020-03-16 | Mar 16, 2020 | 12.96 | 13.66 |
| 2020-09-08 | Sep 8, 2020 | 5.8 | 6.84 |
| 2024-08-05 | Aug 5, 2024 | 9.45 | 10.85 |
| 2025-04-03 | Apr 3, 2025 | 8.2 | 10.11 |
| 2025-04-07 | Apr 7, 2025 | 5.94 | 7.3 |
| 2026-07-31 | Jul 31, 2026 | 8.58 | 10.03 |
- Rows × columns
- 10 × 4
- Period covered
- to
- 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 |
|---|---|---|---|
date |
date | 2019-01-03 to 2026-07-31 | |
gap_date_label |
text | 10 distinct values (Apr 3, 2025, Apr 7, 2025, Aug 5, 2024…) | |
gap_down_pct |
number | 5.8 to 12.96 | percent |
session_low_below_prev_close_pct |
number | 6.27 to 13.66 | 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.
SELECT
toString(session_date) AS date,
formatDateTime(session_date, '%b %e, %Y') AS gap_date_label,
round(abs(overnight_move_pct), 2) AS gap_down_pct,
round(abs(low_vs_prev_close_pct), 2) AS session_low_below_prev_close_pct
FROM
(
SELECT
session_date,
round((toFloat64(open) / toFloat64(prev_close) - 1) * 100, 3) AS overnight_move_pct,
round((toFloat64(low) / toFloat64(prev_close) - 1) * 100, 3) AS low_vs_prev_close_pct
FROM
(
SELECT
session_date,
open,
low,
any(close) OVER (ORDER BY session_date ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_close
FROM
(
SELECT
date AS session_date,
any(open) AS open,
any(low) AS low,
any(close) AS close
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'AAPL'
AND date >= '2016-10-01'
AND date <= '2026-09-30'
AND date NOT IN (SELECT execution_date FROM global_markets.stocks_splits WHERE ticker = 'AAPL')
GROUP BY date
)
)
WHERE prev_close > 0
ORDER BY overnight_move_pct ASC
LIMIT 10
)
ORDER BY session_date
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