session_clock_lagos
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 2026-10-09, from us-daylight-saving-switch-lagos-time.
| month | month_label | open_lagos | close_lagos | open_lagos_hours | close_lagos_hours |
|---|---|---|---|---|---|
| 2025-09 | Sep 2025 | 14:30 | 21:00 | 14.5 | 21 |
| 2025-10 | Oct 2025 | 14:30 | 21:00 | 14.5 | 21 |
| 2025-11 | Nov 2025 | 15:30 | 22:00 | 15.5 | 22 |
| 2025-12 | Dec 2025 | 15:30 | 22:00 | 15.5 | 22 |
| 2026-01 | Jan 2026 | 15:30 | 22:00 | 15.5 | 22 |
| 2026-02 | Feb 2026 | 15:30 | 22:00 | 15.5 | 22 |
| 2026-03 | Mar 2026 | 14:30 | 21:00 | 14.5 | 21 |
| 2026-04 | Apr 2026 | 14:30 | 21:00 | 14.5 | 21 |
| 2026-05 | May 2026 | 14:30 | 21:00 | 14.5 | 21 |
| 2026-06 | Jun 2026 | 14:30 | 21:00 | 14.5 | 21 |
| 2026-07 | Jul 2026 | 14:30 | 21:00 | 14.5 | 21 |
| 2026-08 | Aug 2026 | 14:30 | 21:00 | 14.5 | 21 |
| 2026-09 | Sep 2026 | 14:30 | 21:00 | 14.5 | 21 |
| 2026-10 | Oct 2026 | 14:30 | 21:00 | 14.5 | 21 |
- Rows × columns
- 14 × 6
- 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 |
|---|---|---|---|
month |
text | 14 distinct values (2025-09, 2025-10, 2025-11…) | |
month_label |
text | 14 distinct values (Apr 2026, Aug 2026, Dec 2025…) | |
open_lagos |
text | 2 distinct values (14:30, 15:30) | |
close_lagos |
text | 2 distinct values (21:00, 22:00) | |
open_lagos_hours |
number | 14.5 to 15.5 | US dollars |
close_lagos_hours |
number | 21 to 22 | US dollars |
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
formatDateTime(day, '%Y-%m') AS month,
argMax(month_label, day) AS month_label,
argMax(open_label, day) AS open_lagos,
argMax(close_label, day) AS close_lagos,
argMax(open_hours, day) AS open_lagos_hours,
argMax(close_hours, day) AS close_lagos_hours
FROM
(
SELECT
day,
formatDateTime(day, '%b %Y') AS month_label,
formatDateTime(regular_open, '%H:%i') AS open_label,
formatDateTime(regular_close, '%H:%i') AS close_label,
round(toHour(regular_open) + toMinute(regular_open) / 60, 2) AS open_hours,
round(toHour(regular_close) + toMinute(regular_close) / 60, 2) AS close_hours
FROM
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS day,
toTimeZone(min(window_start), 'Africa/Lagos') AS regular_open,
toTimeZone(max(window_start) + toIntervalMinute(1), 'Africa/Lagos') AS regular_close
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= today() - 400
AND window_start < today() - 3
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 day
HAVING count() >= 380
)
)
GROUP BY month
ORDER BY month
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