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 2026-10-03, from us-market-volume-by-hour-philippine-time.
| session_date | new_york_open | manila_open | manila_close | manila_open_clock |
|---|---|---|---|---|
| 2025-10-27 | 09:30 | 21:30 | 04:00 | 21.5 |
| 2025-10-28 | 09:30 | 21:30 | 04:00 | 21.5 |
| 2025-10-29 | 09:30 | 21:30 | 04:00 | 21.5 |
| 2025-10-30 | 09:30 | 21:30 | 04:00 | 21.5 |
| 2025-10-31 | 09:30 | 21:30 | 04:00 | 21.5 |
| 2025-11-03 | 09:30 | 22:30 | 05:00 | 22.5 |
| 2025-11-04 | 09:30 | 22:30 | 05:00 | 22.5 |
| 2025-11-05 | 09:30 | 22:30 | 05:00 | 22.5 |
| 2025-11-06 | 09:30 | 22:30 | 05:00 | 22.5 |
| 2025-11-07 | 09:30 | 22:30 | 05:00 | 22.5 |
- Rows × columns
- 10 × 5
- 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 | 2025-10-27 to 2025-11-07 | |
new_york_open |
text | 1 distinct value (09:30) | |
manila_open |
text | 2 distinct values (21:30, 22:30) | |
manila_close |
text | 2 distinct values (04:00, 05:00) | |
manila_open_clock |
number | 21.5 to 22.5 | 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
toString(toDate(toTimeZone(window_start, 'America/New_York'))) AS session_date,
formatDateTime(min(toTimeZone(window_start, 'America/New_York')), '%H:%i') AS new_york_open,
formatDateTime(min(toTimeZone(window_start, 'Asia/Manila')), '%H:%i') AS manila_open,
formatDateTime(max(toTimeZone(window_start, 'Asia/Manila')) + toIntervalMinute(1), '%H:%i') AS manila_close,
round(toHour(min(toTimeZone(window_start, 'Asia/Manila')))
+ toMinute(min(toTimeZone(window_start, 'Asia/Manila'))) / 60, 2) AS manila_open_clock
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toDateTime('2025-10-27 00:00:00')
AND window_start < toDateTime('2025-11-08 00:00:00')
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 toDate(toTimeZone(window_start, 'America/New_York'))
ORDER BY toDate(toTimeZone(window_start, 'America/New_York'))
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