ardha_divas_ist
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 does-the-us-market-close-for-indian-holidays.
| us_ardha_divas | et_band_vel | ist_band_vel | ist_band_taas |
|---|---|---|---|
| 27 Nov 2026, Thanksgiving | 13:00 | 23:30 | 23.5 |
| 24 Dec 2026, Christmas | 13:00 | 23:30 | 23.5 |
- Rows × columns
- 2 × 4
- 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 |
|---|---|---|---|
us_ardha_divas |
text | 2 distinct values | |
et_band_vel |
text | 1 distinct value (13:00) | |
ist_band_vel |
text | 1 distinct value (23:30) | |
ist_band_taas |
number | every row is 23.5 |
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
concat(formatDateTime(date, '%d %b %Y'), ', ', any(name)) AS us_ardha_divas,
formatDateTime(toTimeZone(any(close), 'America/New_York'), '%H:%i') AS et_band_vel,
formatDateTime(toTimeZone(any(close), 'Asia/Kolkata'), '%H:%i') AS ist_band_vel,
round(toHour(toTimeZone(any(close), 'Asia/Kolkata'))
+ toMinute(toTimeZone(any(close), 'Asia/Kolkata')) / 60.0, 2) AS ist_band_taas
FROM global_markets.stocks_market_holidays
WHERE date >= today()
AND status = 'early-close'
GROUP BY date
ORDER BY date
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