sutti_overlap_2026
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.
| sthiti | divas |
|---|---|
| NSE बंद, अमेरिकी बाजार चालू | 11 |
| अमेरिकी बाजार बंद, NSE चालू | 7 |
| दोन्ही बाजार बंद | 1 |
- Rows × columns
- 3 × 2
- 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 |
|---|---|---|---|
sthiti |
text | 3 distinct values | |
divas |
number | 1 to 11 |
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
nse_sutti AS
(
SELECT toDate(arrayJoin([
'2026-01-15', '2026-01-26', '2026-03-03', '2026-03-26',
'2026-03-31', '2026-04-03', '2026-04-14', '2026-05-01',
'2026-05-28', '2026-06-26', '2026-09-14', '2026-10-02',
'2026-10-20', '2026-11-10', '2026-11-24', '2026-12-25'
])) AS sutti_date
),
us_sessions AS
(
SELECT
date AS us_date,
max(volume) AS day_volume
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= '2026-01-01'
GROUP BY date
)
SELECT
sthiti,
count() AS divas
FROM
(
SELECT
day,
multiIf(nse_bandh AND us_chalu, 'NSE बंद, अमेरिकी बाजार चालू',
nse_bandh, 'दोन्ही बाजार बंद',
'अमेरिकी बाजार बंद, NSE चालू') AS sthiti
FROM
(
SELECT
cal.day AS day,
cal.day IN (SELECT sutti_date FROM nse_sutti) AS nse_bandh,
ifNull(toFloat64(u.day_volume), 0) > 0 AS us_chalu
FROM
(
SELECT toDate('2026-01-01') + arrayJoin(range(366)) AS day
) AS cal
LEFT JOIN us_sessions AS u ON u.us_date = cal.day
WHERE toDayOfWeek(cal.day) BETWEEN 1 AND 5
AND cal.day <= today() - 3
)
WHERE NOT (us_chalu AND NOT nse_bandh)
)
GROUP BY sthiti
ORDER BY divas DESC
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