dst_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 2026-09-26, from forex-trading-hours-in-israel.
| session_date | calendar_text | israel_open_label | israel_open_hour | israel_close_hour |
|---|---|---|---|---|
| 2025-10-17 | 17/10/2025 | 16:30 | 16.5 | 23 |
| 2025-10-20 | 20/10/2025 | 16:30 | 16.5 | 23 |
| 2025-10-21 | 21/10/2025 | 16:30 | 16.5 | 23 |
| 2025-10-22 | 22/10/2025 | 16:30 | 16.5 | 23 |
| 2025-10-23 | 23/10/2025 | 16:30 | 16.5 | 23 |
| 2025-10-24 | 24/10/2025 | 16:30 | 16.5 | 23 |
| 2025-10-27 | 27/10/2025 | 15:30 | 15.5 | 22 |
| 2025-10-28 | 28/10/2025 | 15:30 | 15.5 | 22 |
| 2025-10-29 | 29/10/2025 | 15:30 | 15.5 | 22 |
| 2025-10-30 | 30/10/2025 | 15:30 | 15.5 | 22 |
| 2025-10-31 | 31/10/2025 | 15:30 | 15.5 | 22 |
| 2025-11-03 | 03/11/2025 | 16:30 | 16.5 | 23 |
| 2025-11-04 | 04/11/2025 | 16:30 | 16.5 | 23 |
| 2025-11-05 | 05/11/2025 | 16:30 | 16.5 | 23 |
| 2025-11-06 | 06/11/2025 | 16:30 | 16.5 | 23 |
| 2025-11-07 | 07/11/2025 | 16:30 | 16.5 | 23 |
| 2025-11-10 | 10/11/2025 | 16:30 | 16.5 | 23 |
| 2025-11-11 | 11/11/2025 | 16:30 | 16.5 | 23 |
| 2025-11-12 | 12/11/2025 | 16:30 | 16.5 | 23 |
| 2025-11-13 | 13/11/2025 | 16:30 | 16.5 | 23 |
| 2025-11-14 | 14/11/2025 | 16:30 | 16.5 | 23 |
- Rows × columns
- 21 × 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 | 2025-10-17 to 2025-11-14 | |
calendar_text |
text | 21 distinct values (03/11/2025, 04/11/2025, 05/11/2025…) | |
israel_open_label |
text | 2 distinct values (15:30, 16:30) | |
israel_open_hour |
number | 15.5 to 16.5 | US dollars |
israel_close_hour |
number | 22 to 23 | 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(d) AS session_date,
formatDateTime(d, '%d/%m/%Y') AS calendar_text,
israel_open_label,
israel_open_hour,
israel_close_hour
FROM
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
formatDateTime(toTimeZone(min(window_start), 'Asia/Jerusalem'), '%H:%i') AS israel_open_label,
round(toHour(toTimeZone(min(window_start), 'Asia/Jerusalem'))
+ toMinute(toTimeZone(min(window_start), 'Asia/Jerusalem')) / 60, 2) AS israel_open_hour,
round(toHour(toTimeZone(max(window_start) + toIntervalMinute(1), 'Asia/Jerusalem'))
+ toMinute(toTimeZone(max(window_start) + toIntervalMinute(1), 'Asia/Jerusalem')) / 60, 2) AS israel_close_hour
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toDateTime('2025-10-17 00:00:00')
AND window_start < toDateTime('2025-11-15 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 d
)
ORDER BY d
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