STRASMORE/EXPLORE 3,171 QUERIES

session_clock_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 2026-10-07, from us-stock-market-hours-india-time.

as of series 32×3read in context →
session_clock_ist — 32 rows by 3 columns, computed from US exchange, SIP and OPRA data.
ist_timeet_timeavg_bucket_volume_mn
13:3004:000.08
14:0004:300.02
14:3005:000.02
15:0005:300.02
15:3006:000.03
16:0006:300.04
16:3007:000.09
17:0007:300.11
17:3008:000.14
18:0008:300.26
18:3009:000.23
19:0009:304.09
19:3010:003.05
20:0010:302.55
20:3011:002.58
21:0011:301.98
21:3012:001.95
22:0012:301.65
22:3013:001.73
23:0013:301.47
23:3014:001.9
00:0014:302.22
00:3015:002.57
01:0015:307.93
01:3016:004.88
02:0016:300.31
02:3017:000.17
03:0017:300.12
03:3018:000.07
04:0018:300.03
04:3019:000.02
05:0019:300.03
Rows × columns
32 × 3
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for session_clock_ist, derived from the stored result.
ColumnTypeRangeNotes
ist_time text 32 distinct values (00:00, 00:30, 01:00…)
et_time text 32 distinct values (04:00, 04:30, 05:00…)
avg_bucket_volume_mn number 0.02 to 7.93 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.

WITH bars AS
(
    SELECT
        toTimeZone(window_start, 'America/New_York') AS et,
        toTimeZone(window_start, 'Asia/Kolkata')     AS ist,
        window_start,
        volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= today() - 90
      AND window_start <  today() - 2
)
SELECT
    argMax(formatDateTime(toStartOfInterval(ist, INTERVAL 30 MINUTE), '%H:%i'), window_start) AS ist_time,
    formatDateTime(toStartOfInterval(et, INTERVAL 30 MINUTE), '%H:%i')                        AS et_time,
    round(toFloat64(sum(volume)) / countDistinct(toDate(et)) / 1e6, 2)                        AS avg_bucket_volume_mn
FROM bars
WHERE (toHour(et) * 60 + toMinute(et)) >= 240
  AND (toHour(et) * 60 + toMinute(et)) <  1200
GROUP BY et_time
ORDER BY min(toHour(et) * 60 + toMinute(et))
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