STRASMORE/EXPLORE 2,549 QUERIES

open_by_zone

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 2026-09-24, from us-stock-market-hours-mountain-time.

as of series 14×6read in context →
open_by_zone — 14 rows by 6 columns, computed from US exchange, SIP and OPRA data.
monthdenver_openphoenix_open_earliestphoenix_open_latestdenver_gap_hoursphoenix_gap_hours
2025-0807:3006:3006:3023
2025-0907:3006:3006:3023
2025-1007:3006:3006:3023
2025-1107:3007:3007:3022
2025-1207:3007:3007:3022
2026-0107:3007:3007:3022
2026-0207:3007:3007:3022
2026-0307:3006:3007:3022.77
2026-0407:3006:3006:3023
2026-0507:3006:3006:3023
2026-0607:3006:3006:3023
2026-0707:3006:3006:3023
2026-0807:3006:3006:3023
2026-0907:3006:3006:3023
Rows × columns
14 × 6
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 open_by_zone, derived from the stored result.
ColumnTypeRangeNotes
month text 14 distinct values (2025-08, 2025-09, 2025-10…)
denver_open text 1 distinct value (07:30)
phoenix_open_earliest text 2 distinct values (06:30, 07:30)
phoenix_open_latest text 2 distinct values (06:30, 07:30)
denver_gap_hours number every row is 2
phoenix_gap_hours number 2 to 3

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 session_opens AS
(
    SELECT
        toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
        min(window_start)                                    AS open_utc
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= today() - 400
      AND window_start <  today() - 2
      AND toHour(toTimeZone(window_start, 'America/New_York'))   = 9
      AND toMinute(toTimeZone(window_start, 'America/New_York')) = 30
    GROUP BY session_date
)
SELECT
    formatDateTime(toStartOfMonth(session_date), '%Y-%m')                 AS month,
    min(formatDateTime(toTimeZone(open_utc, 'America/Denver'),  '%H:%i')) AS denver_open,
    min(formatDateTime(toTimeZone(open_utc, 'America/Phoenix'), '%H:%i')) AS phoenix_open_earliest,
    max(formatDateTime(toTimeZone(open_utc, 'America/Phoenix'), '%H:%i')) AS phoenix_open_latest,
    round(avg(toHour(toTimeZone(open_utc, 'America/New_York'))
              - toHour(toTimeZone(open_utc, 'America/Denver'))), 2)       AS denver_gap_hours,
    round(avg(toHour(toTimeZone(open_utc, 'America/New_York'))
              - toHour(toTimeZone(open_utc, 'America/Phoenix'))), 2)      AS phoenix_gap_hours
FROM session_opens
GROUP BY month
ORDER BY month
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