dst_clock_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 2026-10-09, from us-premarket-and-after-hours-thai-time.
| month | month_label | ict_open_earliest | ict_open_latest | ict_open_earliest_hour | ict_open_latest_hour |
|---|---|---|---|---|---|
| 2024-10-01 | 10/2024 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2024-11-01 | 11/2024 | 20:30 | 21:30 | 20.5 | 21.5 |
| 2024-12-01 | 12/2024 | 21:30 | 21:30 | 21.5 | 21.5 |
| 2025-01-01 | 01/2025 | 21:30 | 21:30 | 21.5 | 21.5 |
| 2025-02-01 | 02/2025 | 21:30 | 21:30 | 21.5 | 21.5 |
| 2025-03-01 | 03/2025 | 20:30 | 21:30 | 20.5 | 21.5 |
| 2025-04-01 | 04/2025 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2025-05-01 | 05/2025 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2025-06-01 | 06/2025 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2025-07-01 | 07/2025 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2025-08-01 | 08/2025 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2025-09-01 | 09/2025 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2025-10-01 | 10/2025 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2025-11-01 | 11/2025 | 21:30 | 21:30 | 21.5 | 21.5 |
| 2025-12-01 | 12/2025 | 21:30 | 21:30 | 21.5 | 21.5 |
| 2026-01-01 | 01/2026 | 21:30 | 21:30 | 21.5 | 21.5 |
| 2026-02-01 | 02/2026 | 21:30 | 21:30 | 21.5 | 21.5 |
| 2026-03-01 | 03/2026 | 20:30 | 21:30 | 20.5 | 21.5 |
| 2026-04-01 | 04/2026 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2026-05-01 | 05/2026 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2026-06-01 | 06/2026 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2026-07-01 | 07/2026 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2026-08-01 | 08/2026 | 20:30 | 20:30 | 20.5 | 20.5 |
| 2026-09-01 | 09/2026 | 20:30 | 20:30 | 20.5 | 20.5 |
- Rows × columns
- 24 × 6
- 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 |
|---|---|---|---|
month |
date | 2024-10-01 to 2026-09-01 | |
month_label |
text | 24 distinct values (01/2025, 01/2026, 02/2025…) | |
ict_open_earliest |
text | 2 distinct values (20:30, 21:30) | |
ict_open_latest |
text | 2 distinct values (20:30, 21:30) | |
ict_open_earliest_hour |
number | 20.5 to 21.5 | US dollars |
ict_open_latest_hour |
number | 20.5 to 21.5 | 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(toStartOfMonth(toDate(toTimeZone(window_start, 'America/New_York')))) AS month,
formatDateTime(toStartOfMonth(toDate(toTimeZone(window_start, 'America/New_York'))), '%m/%Y') AS month_label,
min(formatDateTime(toTimeZone(window_start, 'Asia/Bangkok'), '%H:%i')) AS ict_open_earliest,
max(formatDateTime(toTimeZone(window_start, 'Asia/Bangkok'), '%H:%i')) AS ict_open_latest,
round(min(toHour(toTimeZone(window_start, 'Asia/Bangkok'))
+ toMinute(toTimeZone(window_start, 'Asia/Bangkok')) / 60.0), 2) AS ict_open_earliest_hour,
round(max(toHour(toTimeZone(window_start, 'Asia/Bangkok'))
+ toMinute(toTimeZone(window_start, 'Asia/Bangkok')) / 60.0), 2) AS ict_open_latest_hour
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= '2024-10-01 00:00:00'
AND window_start < '2026-10-01 00:00:00'
AND toHour(toTimeZone(window_start, 'America/New_York')) = 9
AND toMinute(toTimeZone(window_start, 'America/New_York')) = 30
GROUP BY month, month_label
ORDER BY month
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