Every Figma lockup release date: release-day turnover and the sessions after

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 bars AS
(
    SELECT
        date,
        volume,
        close,
        avg(volume) OVER (ORDER BY date ROWS BETWEEN 20 PRECEDING AND 1 PRECEDING) AS avg_volume_20,
        row_number() OVER (ORDER BY date)                                          AS seq
    FROM
    (
        SELECT
            date,
            argMax(toFloat64(volume), _ingest_time) AS volume,
            argMax(toFloat64(close), _ingest_time)  AS close
        FROM global_markets.stocks_daily_aggs
        WHERE ticker = 'FIG'
          AND date >= '2025-07-31'
        GROUP BY date
    )
),
releases AS
(
    SELECT
        tupleElement(r, 1)         AS label,
        toDate(tupleElement(r, 2)) AS release_date,
        toDate(tupleElement(r, 3)) AS base_date
    FROM
    (
        SELECT arrayJoin([
            ('Sep 5 2025 employee release', '2025-09-05', '2025-09-04'),
            ('Nov 7 2025 IPO lockup ends',  '2025-11-07', '2025-11-06'),
            ('Feb 20 2026 tranche 2',       '2026-02-20', '2026-02-19'),
            ('May 18 2026 tranche 3',       '2026-05-18', '2026-05-15'),
            ('Aug 7 2026 final tranche',    '2026-08-07', '2026-08-06')
        ]) AS r
    )
),
keyed AS
(
    SELECT
        rel.label        AS label,
        rel.release_date AS release_date,
        rel.base_date    AS base_date,
        b.seq            AS release_seq
    FROM releases AS rel
    INNER JOIN bars AS b ON b.date = rel.release_date
)
SELECT
    k.label AS label,
    round(anyIf(b.volume / b.avg_volume_20, b.date = k.release_date), 2)                                                      AS volume_ratio,
    round(100 * (anyIf(b.close, toInt32(b.seq) = toInt32(k.release_seq) + 5)  / anyIf(b.close, b.date = k.base_date) - 1), 2) AS five_session_pct,
    round(100 * (anyIf(b.close, toInt32(b.seq) = toInt32(k.release_seq) + 20) / anyIf(b.close, b.date = k.base_date) - 1), 2) AS twenty_session_pct
FROM keyed AS k
CROSS JOIN bars AS b
GROUP BY label, k.release_seq
ORDER BY k.release_seq