STRASMORE/EXPLORE 3,171 QUERIES

volume_per_jam_wib

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-jakarta-time.

as of ranking 16×4read in context →
volume_per_jam_wib — 16 rows by 4 columns, computed from US exchange, SIP and OPRA data.
wib_labeljam_etvolume_juta_lembarpersen_volume
15:0004:0020.22
16:0005:000.90.1
17:0006:001.40.16
18:0007:004.30.48
19:0008:009.21.03
20:0009:0086.59.64
21:0010:00109.612.22
22:0011:00101.111.27
23:0012:0068.67.65
00:0013:0061.66.86
01:0014:0090.810.12
02:0015:00226.525.25
03:0016:00123.513.77
04:0017:007.60.85
05:0018:002.60.29
06:0019:000.80.09
Rows × columns
16 × 4
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 volume_per_jam_wib, derived from the stored result.
ColumnTypeRangeNotes
wib_label text 16 distinct values (00:00, 01:00, 02:00…)
jam_et text 16 distinct values (04:00, 05:00, 06:00…)
volume_juta_lembar number 0.8 to 226.5 count
persen_volume number 0.09 to 25.25 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 menit AS
(
    SELECT
        formatDateTime(toTimeZone(window_start, 'Asia/Jakarta'), '%H:00')     AS wib_label,
        formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:00') AS jam_et,
        toHour(toTimeZone(window_start, 'America/New_York'))                  AS urut_et,
        toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York'))            AS et_minute,
        volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= '2026-09-01 00:00:00'
      AND window_start <  '2026-10-01 00:00:00'
),
sesi AS
(
    SELECT *
    FROM menit
    WHERE et_minute >= 240
      AND et_minute <  1200
),
total AS
(
    SELECT sum(volume) AS semua
    FROM sesi
)
SELECT
    wib_label,
    jam_et,
    round(toFloat64(sum(volume)) / 1e6, 1)                         AS volume_juta_lembar,
    round(100 * toFloat64(sum(volume)) / toFloat64(any(semua)), 2) AS persen_volume
FROM sesi
CROSS JOIN total
GROUP BY wib_label, jam_et, urut_et
ORDER BY urut_et
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