dst_shift
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 2026-10-16, from us-market-volume-by-hour-lagos-time.
| month | month_label | busiest_30min_wat | busiest_30min_et | lagos_minus_ny_hours |
|---|---|---|---|---|
| 2025-12 | Dec 2025 | 22:00 | 16:00 | 6 |
| 2026-01 | Jan 2026 | 21:30 | 15:30 | 6 |
| 2026-02 | Feb 2026 | 21:30 | 15:30 | 6 |
| 2026-03 | Mar 2026 | 20:30 | 15:30 | 5 |
| 2026-04 | Apr 2026 | 20:30 | 15:30 | 5 |
| 2026-05 | May 2026 | 20:30 | 15:30 | 5 |
| 2026-06 | Jun 2026 | 20:30 | 15:30 | 5 |
| 2026-07 | Jul 2026 | 20:30 | 15:30 | 5 |
| 2026-08 | Aug 2026 | 20:30 | 15:30 | 5 |
| 2026-09 | Sep 2026 | 20:30 | 15:30 | 5 |
- Rows × columns
- 10 × 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 |
|---|---|---|---|
month |
text | 10 distinct values (2025-12, 2026-01, 2026-02…) | |
month_label |
text | 10 distinct values (Apr 2026, Aug 2026, Dec 2025…) | |
busiest_30min_wat |
text | 3 distinct values (20:30, 21:30, 22:00) | |
busiest_30min_et |
text | 2 distinct values (15:30, 16:00) | |
lagos_minus_ny_hours |
number | 5 to 6 |
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 buckets AS
(
SELECT
toStartOfInterval(window_start, INTERVAL 30 MINUTE) AS bucket,
sum(volume) AS bucket_volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= '2025-12-01 00:00:00'
AND window_start < '2026-10-01 00:00:00'
GROUP BY bucket
),
monthly AS
(
SELECT
toStartOfMonth(bucket) AS month_start,
argMax(bucket, bucket_volume) AS top_bucket,
max(bucket_volume) AS top_volume
FROM buckets
GROUP BY month_start
)
SELECT
formatDateTime(month_start, '%Y-%m') AS month,
formatDateTime(month_start, '%b %Y') AS month_label,
formatDateTime(toTimeZone(top_bucket, 'Africa/Lagos'), '%H:%i') AS busiest_30min_wat,
formatDateTime(toTimeZone(top_bucket, 'America/New_York'), '%H:%i') AS busiest_30min_et,
modulo(toHour(toTimeZone(top_bucket, 'Africa/Lagos'))
- toHour(toTimeZone(top_bucket, 'America/New_York')) + 24, 24) AS lagos_minus_ny_hours
FROM monthly
ORDER BY month_start
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