ist_taas_profile
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.
| ist_taas | purna_divas_mn | ardha_divas_mn |
|---|---|---|
| 20:00 | 13.5 | 8.9 |
| 21:00 | 7.7 | 8.4 |
| 22:00 | 7 | 9.6 |
| 23:00 | 6.5 | 12.3 |
| 00:00 | 7.2 | 0 |
| 01:00 | 8.9 | 0 |
| 02:00 | 12.2 | 0 |
- Rows × columns
- 7 × 3
- 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 |
|---|---|---|---|
ist_taas |
text | 7 distinct values (00:00, 01:00, 02:00…) | |
purna_divas_mn |
number | 6.5 to 13.5 | |
ardha_divas_mn |
number | 0 to 12.3 |
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
ist_taas,
round(sumIf(vol, et_date = toDate('2025-11-26')) / 1e6, 1) AS purna_divas_mn,
round(sumIf(vol, et_date = toDate('2025-11-28')) / 1e6, 1) AS ardha_divas_mn
FROM
(
SELECT
formatDateTime(toStartOfHour(toTimeZone(window_start, 'Asia/Kolkata')), '%H:%i') AS ist_taas,
toDate(toTimeZone(window_start, 'America/New_York')) AS et_date,
window_start AS ts,
toFloat64(volume) AS vol
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= '2025-11-26 14:00:00'
AND window_start < '2025-11-29 00:00:00'
AND toDate(toTimeZone(window_start, 'America/New_York')) IN (toDate('2025-11-26'), toDate('2025-11-28'))
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 ist_taas
ORDER BY min(ts)
या डेटासोबत तुमच्या AI सहाय्यकात काम करा
या पानावरील डेटासह, क्वेरीसाठी तयार उघडते. मोफत, खात्याशिवाय.