indian_holiday_sessions
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 us-market-holidays-in-ist.
| indian_holiday | spy_move_pct | spy_volume_mn |
|---|---|---|
| होली, 14 मार्च 2025 | 1.2 | 62.7 |
| स्वतंत्रता दिवस, 15 अगस्त 2025 | 0.39 | 68.6 |
| गांधी जयंती, 2 अक्तूबर 2025 | 0.18 | 56.9 |
| दिवाली सप्ताह, 22 अक्तूबर 2025 | 0.63 | 80.6 |
| गणतंत्र दिवस, 26 जनवरी 2026 | 0.32 | 60.5 |
- Rows × columns
- 5 × 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 |
|---|---|---|---|
indian_holiday |
text | 5 distinct values | |
spy_move_pct |
number | 0.18 to 1.2 | percent |
spy_volume_mn |
number | 56.9 to 80.6 | count |
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
d.label AS indian_holiday,
round(abs(toFloat64(a.close) / toFloat64(a.open) - 1) * 100, 2) AS spy_move_pct,
round(toFloat64(a.volume) / 1000000, 1) AS spy_volume_mn
FROM
(
SELECT
pair.1 AS label,
toDate(pair.2) AS session_day
FROM
(
SELECT arrayJoin([
('होली, 14 मार्च 2025', '2025-03-14'),
('स्वतंत्रता दिवस, 15 अगस्त 2025', '2025-08-15'),
('गांधी जयंती, 2 अक्तूबर 2025', '2025-10-02'),
('दिवाली सप्ताह, 22 अक्तूबर 2025', '2025-10-22'),
('गणतंत्र दिवस, 26 जनवरी 2026', '2026-01-26')
]) AS pair
)
) AS d
INNER JOIN
(
SELECT
date,
open,
close,
volume
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= toDate('2025-03-01')
AND date <= toDate('2026-02-01')
) AS a ON a.date = d.session_day
ORDER BY d.session_day
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