STRASMORE/EXPLORE 3,094 QUERIES

nime_rooz_ha

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 2026-10-05, from us-stock-market-hours-tehran-time.

as of series 3×5read in context →
nime_rooz_ha — 3 rows by 5 columns, computed from US exchange, SIP and OPRA data.
session_dateweekdayclose_etclose_tehranregular_bars
2025-07-03Thu13:0120:31211
2025-11-28Fri13:0121:31211
2025-12-24Wed13:0121:31211
Rows × columns
3 × 5
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 nime_rooz_ha, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2025-07-03 to 2025-12-24
weekday text 3 distinct values (Fri, Thu, Wed)
close_et text 1 distinct value (13:01)
close_tehran text 2 distinct values (20:31, 21:31)
regular_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
    toString(session_date) AS session_date,
    weekday,
    close_et,
    close_tehran,
    regular_bars
FROM
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York'))                                            AS session_date,
        formatDateTime(toDate(toTimeZone(min(window_start), 'America/New_York')), '%a')                 AS weekday,
        formatDateTime(toTimeZone(max(window_start) + INTERVAL 1 MINUTE, 'America/New_York'), '%H:%i')  AS close_et,
        formatDateTime(toTimeZone(max(window_start) + INTERVAL 1 MINUTE, 'Asia/Tehran'), '%H:%i')       AS close_tehran,
        countDistinct(window_start)                                                                     AS regular_bars
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= today() - 520
      AND window_start <  today() - 2
      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 session_date
    HAVING regular_bars BETWEEN 150 AND 300
)
ORDER BY session_date
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