STRASMORE/EXPLORE 2,500 QUERIES

paglipat_ng_orasan

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 us-stock-market-hours-philippine-time.

as of table 6×5read in context →
paglipat_ng_orasan — 6 rows by 5 columns, computed from US exchange, SIP and OPRA data.
petsa_isopetsa_ng_paglipatdating_open_phtbagong_open_phtlead_oras_pht
2023-11-066 Nov 202321:3022:3013
2024-03-1111 Mar 202422:3021:3012
2024-11-044 Nov 202421:3022:3013
2025-03-1010 Mar 202522:3021:3012
2025-11-033 Nov 202521:3022:3013
2026-03-099 Mar 202622:3021:3012
Rows × columns
6 × 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 paglipat_ng_orasan, derived from the stored result.
ColumnTypeRangeNotes
petsa_iso date 2023-11-06 to 2026-03-09
petsa_ng_paglipat text 6 distinct values (10 Mar 2025, 11 Mar 2024, 3 Nov 2025…)
dating_open_pht text 2 distinct values (21:30, 22:30)
bagong_open_pht text 2 distinct values (21:30, 22:30)
lead_oras_pht number 12 to 13

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 petsa_iso,
    formatDateTime(session_date, '%e %b %Y')      AS petsa_ng_paglipat,
    dating_open_pht,
    open_pht                                      AS bagong_open_pht,
    round(lead_minutes / 60, 2)                   AS lead_oras_pht
FROM
(
    SELECT
        session_date,
        open_pht,
        lead_minutes,
        any(open_pht) OVER (ORDER BY session_date ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS dating_open_pht
    FROM
    (
        SELECT
            session_date,
            max(open_pht)     AS open_pht,
            max(lead_minutes) AS lead_minutes
        FROM
        (
            SELECT
                toDate(toTimeZone(window_start, 'America/New_York'))              AS session_date,
                formatDateTime(toTimeZone(window_start, 'Asia/Manila'), '%H:%i')  AS open_pht,
                (toHour(toTimeZone(window_start, 'Asia/Manila')) * 60
                    + toMinute(toTimeZone(window_start, 'Asia/Manila')))
                - (toHour(toTimeZone(window_start, 'America/New_York')) * 60
                    + toMinute(toTimeZone(window_start, 'America/New_York')))     AS lead_minutes
            FROM global_markets.delayed_stocks_minute_aggs
            WHERE ticker = 'SPY'
              AND window_start >= today() - 1150
              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
    )
)
WHERE dating_open_pht != '' AND dating_open_pht != open_pht
ORDER BY session_date
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