STRASMORE/EXPLORE 2,948 QUERIES

monthly_shift

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 2026-10-02, from us-stock-market-hours-korea-time.

as of series 12×4read in context →
monthly_shift — 12 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthmonth_labelbusiest_minute_kstkst_minutes
2025-10-012025년 10월04:59299
2025-11-012025년 11월06:12372
2025-12-012025년 12월05:59359
2026-01-012026년 1월05:59359
2026-02-012026년 2월05:59359
2026-03-012026년 3월05:12312
2026-04-012026년 4월04:59299
2026-05-012026년 5월05:11311
2026-06-012026년 6월04:59299
2026-07-012026년 7월04:59299
2026-08-012026년 8월04:59299
2026-09-012026년 9월04:59299
Rows × columns
12 × 4
Period covered
to
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 monthly_shift, derived from the stored result.
ColumnTypeRangeNotes
month date 2025-10-01 to 2026-09-01
month_label text 12 distinct values (2025년 10월, 2025년 11월, 2025년 12월…)
busiest_minute_kst text 5 distinct values (04:59, 05:11, 05:12…)
kst_minutes number 299 to 372

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 day_peak AS
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York'))                            AS et_day,
        argMax(formatDateTime(toTimeZone(window_start, 'Asia/Seoul'), '%H:%i'), volume)  AS peak_kst,
        argMax(toHour(toTimeZone(window_start, 'Asia/Seoul')) * 60
               + toMinute(toTimeZone(window_start, 'Asia/Seoul')), volume)              AS peak_minutes
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2025-10-01 00:00:00')
      AND window_start <  toDateTime('2026-10-01 00:00:00')
      AND volume > 0
    GROUP BY et_day
),
by_month AS
(
    SELECT
        toStartOfMonth(et_day) AS et_month,
        peak_kst,
        peak_minutes,
        count()                AS hits
    FROM day_peak
    GROUP BY et_month, peak_kst, peak_minutes
)
SELECT
    toString(et_month)                                                           AS month,
    concat(toString(toYear(et_month)), '년 ', toString(toMonth(et_month)), '월')  AS month_label,
    argMax(peak_kst, hits)                                                       AS busiest_minute_kst,
    argMax(peak_minutes, hits)                                                   AS kst_minutes
FROM by_month
GROUP BY et_month
ORDER BY et_month
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