Day 180 counted from the pricing date: nine US listings

WITH ipos AS (
    SELECT tupleElement(pair, 1) AS ticker,
           toDate(tupleElement(pair, 2)) AS pricing_date
    FROM (
        SELECT arrayJoin([('LYFT', '2019-03-28'), ('UBER', '2019-05-09'),
                          ('DASH', '2020-12-08'), ('ABNB', '2020-12-09'),
                          ('HOOD', '2021-07-28'), ('RIVN', '2021-11-09'),
                          ('CAVA', '2023-06-14'), ('BIRK', '2023-10-10'),
                          ('RDDT', '2024-03-20')]) AS pair
    )
),
sessions AS (
    SELECT DISTINCT toDate(toTimeZone(window_start, 'America/New_York')) AS session_date
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker = 'SPY'
      AND window_start >= toDateTime('2019-03-01 00:00:00')
      AND window_start < toDateTime('2026-08-01 00:00:00')
)
SELECT i.ticker AS ticker,
       formatDateTimeInJodaSyntax(i.pricing_date, 'MMM d, yyyy') AS pricing_date_label,
       formatDateTimeInJodaSyntax(addDays(i.pricing_date, 180), 'MMM d, yyyy') AS day_180_label,
       formatDateTime(addDays(i.pricing_date, 180), '%W') AS day_180_weekday,
       countIf(s.session_date > i.pricing_date
               AND s.session_date <= addDays(i.pricing_date, 180)) AS market_opens,
       formatDateTimeInJodaSyntax(
           minIf(s.session_date, s.session_date >= addDays(i.pricing_date, 180)),
           'MMM d, yyyy') AS next_open_session_label
FROM ipos AS i
CROSS JOIN sessions AS s
GROUP BY i.ticker, i.pricing_date
ORDER BY (minIf(s.session_date, s.session_date >= addDays(i.pricing_date, 180))
          > addDays(i.pricing_date, 180)) DESC,
         i.pricing_date ASC