tehran_session_map

Name: tehran_session_map
Creator: Strasmore
Published: 2026-10-08
License: https://www.strasmore.com/terms/

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 2026-10-08, from us-daylight-saving-switch-tehran-time.

as of 2026-10-08 series 5×6read in context →

tehran_session_map — 5 rows by 6 columns, computed 2026-10-08 from US exchange, SIP and OPRA data.
milestone	new_york_clock	tehran_edt_clock	tehran_est_clock	tehran_hour_edt	tehran_hour_est
آغاز پیش‌بازار	04:00	11:30	12:30	11.5	12.5
بازگشایی نشست اصلی	09:30	17:00	18:00	17	18
پایان نخستین ساعت	10:30	18:00	19:00	18	19
بسته شدن نشست اصلی	16:00	23:30	00:30	23.5	24.5
پایان پس‌بازار	20:00	03:30	04:30	27.5	28.5

Rows × columns: 5 × 6
Computed: 2026-10-08
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 tehran_session_map, derived from the stored result.
Column	Type	Range
`milestone`	text	5 distinct values
`new_york_clock`	text	5 distinct values (04:00, 09:30, 10:30…)
`tehran_edt_clock`	text	5 distinct values (03:30, 11:30, 17:00…)
`tehran_est_clock`	text	5 distinct values (00:30, 04:30, 12:30…)
`tehran_hour_edt`	number	11.5 to 27.5
`tehran_hour_est`	number	12.5 to 28.5

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 2026-10-08, 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
    milestone,
    new_york_clock,
    formatDateTime(toTimeZone(edt_ts, 'Asia/Tehran'), '%H:%i') AS tehran_edt_clock,
    formatDateTime(toTimeZone(est_ts, 'Asia/Tehran'), '%H:%i') AS tehran_est_clock,
    round((toUnixTimestamp(edt_ts)
           - toUnixTimestamp(toDateTime(concat(toString(edt_date), ' 00:00:00'), 'Asia/Tehran'))) / 3600.0, 2) AS tehran_hour_edt,
    round((toUnixTimestamp(est_ts)
           - toUnixTimestamp(toDateTime(concat(toString(est_date), ' 00:00:00'), 'Asia/Tehran'))) / 3600.0, 2) AS tehran_hour_est
FROM
(
    SELECT
        m.1                                                                  AS sort_order,
        m.2                                                                  AS milestone,
        substring(m.3, 1, 5)                                                 AS new_york_clock,
        edt_date,
        est_date,
        toDateTime(concat(toString(edt_date), ' ', m.3), 'America/New_York') AS edt_ts,
        toDateTime(concat(toString(est_date), ' ', m.3), 'America/New_York') AS est_ts
    FROM
    (
        SELECT
            arrayJoin([
                (1, 'آغاز پیش‌بازار',       '04:00:00'),
                (2, 'بازگشایی نشست اصلی',   '09:30:00'),
                (3, 'پایان نخستین ساعت',    '10:30:00'),
                (4, 'بسته شدن نشست اصلی',   '16:00:00'),
                (5, 'پایان پس‌بازار',       '20:00:00')
            ])            AS m,
            est_date,
            est_date - 4  AS edt_date
        FROM
        (
            SELECT nov1 + ((7 - toDayOfWeek(nov1)) % 7) AS est_date
            FROM ( SELECT toDate('2026-11-01') AS nov1 )
        )
    )
)
ORDER BY sort_order

SQL to run

SELECT
    milestone,
    new_york_clock,
    formatDateTime(toTimeZone(edt_ts, 'Asia/Tehran'), '%H:%i') AS tehran_edt_clock,
    formatDateTime(toTimeZone(est_ts, 'Asia/Tehran'), '%H:%i') AS tehran_est_clock,
    round((toUnixTimestamp(edt_ts)
           - toUnixTimestamp(toDateTime(concat(toString(edt_date), ' 00:00:00'), 'Asia/Tehran'))) / 3600.0, 2) AS tehran_hour_edt,
    round((toUnixTimestamp(est_ts)
           - toUnixTimestamp(toDateTime(concat(toString(est_date), ' 00:00:00'), 'Asia/Tehran'))) / 3600.0, 2) AS tehran_hour_est
FROM
(
    SELECT
        m.1                                                                  AS sort_order,
        m.2                                                                  AS milestone,
        substring(m.3, 1, 5)                                                 AS new_york_clock,
        edt_date,
        est_date,
        toDateTime(concat(toString(edt_date), ' ', m.3), 'America/New_York') AS edt_ts,
        toDateTime(concat(toString(est_date), ' ', m.3), 'America/New_York') AS est_ts
    FROM
    (
        SELECT
            arrayJoin([
                (1, 'آغاز پیش‌بازار',       '04:00:00'),
                (2, 'بازگشایی نشست اصلی',   '09:30:00'),
                (3, 'پایان نخستین ساعت',    '10:30:00'),
                (4, 'بسته شدن نشست اصلی',   '16:00:00'),
                (5, 'پایان پس‌بازار',       '20:00:00')
            ])            AS m,
            est_date,
            est_date - 4  AS edt_date
        FROM
        (
            SELECT nov1 + ((7 - toDayOfWeek(nov1)) % 7) AS est_date
            FROM ( SELECT toDate('2026-11-01') AS nov1 )
        )
    )
)
ORDER BY sort_order

⌘/Ctrl + Enter

با این داده‌ها در دستیار هوش مصنوعی خود کار کنید

آماده‌ی پرس‌وجو باز می‌شود، با داده‌های همین صفحه. رایگان، بدون حساب.

Claude ChatGPT Gemini Muse عامل خودتان