Apple's eight widest downside opening gaps since 2021
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 2026-10-06, from Buy Stop vs Sell Stop Orders: How Each Fires.
| gap_label | prev_close | open_price | gap_pct |
|---|---|---|---|
| Aug 5, 2024 | 219.86 | 199.09 | -9.45 |
| Jul 31, 2026 | 333.43 | 304.81 | -8.58 |
| Apr 3, 2025 | 223.89 | 205.54 | -8.2 |
| Apr 7, 2025 | 188.38 | 177.2 | -5.93 |
| Apr 10, 2025 | 198.85 | 189.06 | -4.92 |
| Feb 24, 2022 | 160.07 | 152.58 | -4.68 |
| Apr 4, 2025 | 203.19 | 193.89 | -4.58 |
| Sep 7, 2023 | 182.91 | 175.18 | -4.23 |
- Rows × columns
- 8 × 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 |
|---|---|---|---|
gap_label |
text | 8 distinct values (Apr 10, 2025, Apr 3, 2025, Apr 4, 2025…) | |
prev_close |
number | 160.07 to 333.43 | US dollars |
open_price |
number | 152.58 to 304.81 | US dollars |
gap_pct |
number | -9.45 to -4.23 | 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 px AS
(
SELECT
date,
toFloat64(open) AS open_px,
toFloat64(lagInFrame(close, 1) OVER (ORDER BY date)) AS prev_close
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'AAPL'
AND date >= '2021-01-01'
AND date < '2026-10-01'
AND date NOT IN (SELECT execution_date FROM global_markets.stocks_splits WHERE ticker = 'AAPL')
)
SELECT
formatDateTime(date, '%b %e, %Y') AS gap_label,
round(prev_close, 2) AS prev_close,
round(open_px, 2) AS open_price,
round(100 * (open_px / prev_close - 1), 2) AS gap_pct
FROM px
WHERE prev_close > 0
ORDER BY gap_pct ASC
LIMIT 8
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