STRASMORE/EXPLORE 2,500 QUERIES

half_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 2026-09-23, from do-mutual-funds-trade-on-holidays.

as of ranking 6×3read in context →
half_sessions — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
half_day_labellast_bar_etregular_session_bars
Jul 3, 202401:00 PM211
Nov 29, 202401:00 PM211
Dec 24, 202401:00 PM211
Jul 3, 202501:00 PM211
Nov 28, 202501:00 PM211
Dec 24, 202501:00 PM211
Rows × columns
6 × 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 half_sessions, derived from the stored result.
ColumnTypeRangeNotes
half_day_label text 6 distinct values (Dec 24, 2024, Dec 24, 2025, Jul 3, 2024…)
last_bar_et text 1 distinct value (01:00 PM)
regular_session_bars number every row is 211

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
    concat(formatDateTime(d, '%b '), toString(toDayOfMonth(d)), ', ', toString(toYear(d)))     AS half_day_label,
    formatDateTime(toTimeZone(last_bar, 'America/New_York'), '%I:%i %p')                       AS last_bar_et,
    bars                                                                                       AS regular_session_bars
FROM
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York')) AS d,
        max(window_start)                                    AS last_bar,
        count()                                              AS bars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= '2024-01-01 00:00:00'
      AND window_start <  '2026-09-01 00:00:00'
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
    GROUP BY d
    HAVING bars BETWEEN 1 AND 300
)
ORDER BY d
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