gap_down_counts
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 2026-10-03, from why-stop-orders-fill-below-the-stop-price.
| symbol | session_count | opens_1pct_below | opens_3pct_below | deepest_gap_down_abs_pct |
|---|---|---|---|---|
| NVDA | 1441 | 305 | 47 | 14.18 |
| XOM | 1441 | 173 | 18 | 6.34 |
| AAPL | 1441 | 151 | 14 | 9.45 |
| MSFT | 1441 | 149 | 12 | 8.65 |
| SPY | 1441 | 83 | 4 | 3.99 |
| KO | 1441 | 31 | 2 | 5.29 |
- Rows × columns
- 6 × 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 |
|---|---|---|---|
symbol |
text | 6 distinct values (AAPL, KO, MSFT…) | |
session_count |
number | every row is 1,441 | count |
opens_1pct_below |
number | 31 to 305 | |
opens_3pct_below |
number | 2 to 47 | |
deepest_gap_down_abs_pct |
number | 3.99 to 14.18 | 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 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 ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO', 'XOM')
AND date >= '2021-01-01'
AND date < '2026-10-01'
GROUP BY ticker, date
),
gaps AS
(
SELECT
ticker,
round((open_px / prev_close - 1) * 100, 2) AS gap_pct
FROM
(
SELECT
ticker,
date,
open_px,
any(close_px) OVER (PARTITION BY ticker ORDER BY date ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prev_close
FROM sessions
)
WHERE prev_close > 0
)
SELECT
ticker AS symbol,
count() AS session_count,
countIf(gap_pct <= -1) AS opens_1pct_below,
countIf(gap_pct <= -3) AS opens_3pct_below,
round(abs(min(gap_pct)), 2) AS deepest_gap_down_abs_pct
FROM gaps
GROUP BY ticker
ORDER BY opens_3pct_below DESC
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