STRASMORE/EXPLORE 2,595 QUERIES

release_ladder

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 2026-09-25, from figma-lockup-expiration.

as of ranking 5×4read in context →
release_ladder — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
labelvolume_ratiofive_session_pcttwenty_session_pct
Sep 5 2025 employee release2.59-2.73-2.79
Nov 7 2025 IPO lockup ends3.6-16.2-18.12
Feb 20 2026 tranche 22.5613.65-8.24
May 18 2026 tranche 31.96-4.19-21.55
Aug 7 2026 final tranche1.296.050.63
Rows × columns
5 × 4
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 release_ladder, derived from the stored result.
ColumnTypeRangeNotes
label text 5 distinct values
volume_ratio number 1.29 to 3.6 count
five_session_pct number -16.2 to 13.65 percent
twenty_session_pct number -21.55 to 0.63 percent

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 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
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