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SPY volume by Singapore half hour: US winter month vs US summer month

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 2026-11-07, from US Stock Market Hours in Singapore Time.

as of series 34×3read in context →
SPY volume by Singapore half hour: US winter month vs US summer month — 34 rows by 3 columns, computed from US exchange, SIP and OPRA data.
sgt_timejanuary_shares_millionsaugust_shares_millions
00:004.411.93
00:304.131.71
01:003.431.52
01:303.271.48
02:003.011.82
02:302.891.82
03:003.842.19
03:304.586.6
04:005.094.11
04:3012.520.25
05:005.60.16
05:300.660.09
06:000.130.07
06:300.090.02
07:000.080.02
07:300.030.02
08:000.030
08:300.040
16:0000.08
16:3000.02
17:000.050.02
17:300.040.01
18:000.030.02
18:300.030.03
19:000.040.08
19:300.070.11
20:000.130.13
20:300.10.22
21:000.310.21
21:300.333.8
22:000.422.7
22:309.622.5
23:006.532.19
23:305.862.24
Rows × columns
34 × 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 SPY volume by Singapore half hour: US winter month vs US summer month, derived from the stored result.
ColumnTypeRangeNotes
sgt_time text 34 distinct values (00:00, 00:30, 01:00…)
january_shares_millions number 0 to 12.52 count
august_shares_millions number 0 to 6.6 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.

WITH bars AS
(
    SELECT
        toStartOfInterval(toTimeZone(window_start, 'Asia/Singapore'), INTERVAL 30 MINUTE) AS sgt_bucket,
        toDate(toTimeZone(window_start, 'America/New_York'))                              AS et_date,
        volume
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND (
            (window_start >= toDateTime('2026-01-05 05:00:00') AND window_start < toDateTime('2026-01-31 05:00:00'))
         OR (window_start >= toDateTime('2026-08-03 04:00:00') AND window_start < toDateTime('2026-08-29 04:00:00'))
          )
)
SELECT
    formatDateTime(sgt_bucket, '%H:%i') AS sgt_time,
    round(sumIf(volume, et_date < toDate('2026-04-01'))
          / greatest(uniqExactIf(et_date, et_date < toDate('2026-04-01')), 1) / 1e6, 2) AS january_shares_millions,
    round(sumIf(volume, et_date > toDate('2026-04-01'))
          / greatest(uniqExactIf(et_date, et_date > toDate('2026-04-01')), 1) / 1e6, 2) AS august_shares_millions
FROM bars
GROUP BY sgt_time
HAVING january_shares_millions + august_shares_millions > 0
ORDER BY sgt_time
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