Recently-passed weekday closures, recovered from the SPY tape
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 2026-10-01, from Stock Market Holidays 2026–2027: NYSE & Nasdaq.
| session_date | weekday | regular_session_bars |
|---|---|---|
| 2026-05-25 | Mon | 0 |
| 2026-06-19 | Fri | 0 |
| 2026-07-03 | Fri | 0 |
| 2026-09-07 | Mon | 0 |
- Rows × columns
- 4 × 3
- 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 |
|---|---|---|---|
session_date |
date | 2026-05-25 to 2026-09-07 | |
weekday |
text | 2 distinct values (Fri, Mon) | |
regular_session_bars |
number | every row is 0 |
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(cal.day) AS session_date,
formatDateTime(cal.day, '%a') AS weekday,
toUInt32(ifNull(t.bars, 0)) AS regular_session_bars
FROM
(
SELECT today() - 150 + arrayJoin(range(146)) AS day
) AS cal
LEFT JOIN
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
count() AS bars
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= today() - 150
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
GROUP BY d
) AS t ON t.d = cal.day
WHERE toDayOfWeek(cal.day) BETWEEN 1 AND 5
AND cal.day <= today() - 5
AND ifNull(t.bars, 0) = 0
ORDER BY cal.day
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.