dst_shift_trace
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 2026-10-05, from us-stock-market-hours-vietnam-time.
| date | ict_open | ict_last_bar | ict_open_hour |
|---|---|---|---|
| 2025-10-27 | 20:30 | 02:59 | 20.5 |
| 2025-10-28 | 20:30 | 02:59 | 20.5 |
| 2025-10-29 | 20:30 | 02:59 | 20.5 |
| 2025-10-30 | 20:30 | 02:59 | 20.5 |
| 2025-10-31 | 20:30 | 02:59 | 20.5 |
| 2025-11-03 | 21:30 | 03:59 | 21.5 |
| 2025-11-04 | 21:30 | 03:59 | 21.5 |
| 2025-11-05 | 21:30 | 03:59 | 21.5 |
| 2025-11-06 | 21:30 | 03:59 | 21.5 |
| 2025-11-07 | 21:30 | 03:59 | 21.5 |
- Rows × columns
- 10 × 4
- 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 |
|---|---|---|---|
date |
date | 2025-10-27 to 2025-11-07 | |
ict_open |
text | 2 distinct values (20:30, 21:30) | |
ict_last_bar |
text | 2 distinct values (02:59, 03:59) | |
ict_open_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.
WITH session_bars AS
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
window_start
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= '2025-10-27 00:00:00'
AND window_start < '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
)
SELECT
toString(session_date) AS date,
formatDateTime(toTimeZone(min(window_start), 'Asia/Ho_Chi_Minh'), '%H:%i') AS ict_open,
formatDateTime(toTimeZone(max(window_start), 'Asia/Ho_Chi_Minh'), '%H:%i') AS ict_last_bar,
round(toHour(toTimeZone(min(window_start), 'Asia/Ho_Chi_Minh'))
+ toMinute(toTimeZone(min(window_start), 'Asia/Ho_Chi_Minh')) / 60.0, 2) AS ict_open_hour
FROM session_bars
GROUP BY session_date
ORDER BY session_date
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.