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Five famous lockup expirations: expiry-day price change and volume multiple vs. the prior session

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 2026-07-26, from IPO Lockup Expiration: Meaning & Release Date.

as of series 5×7read in context →
Five famous lockup expirations: expiry-day price change and volume multiple vs. the prior session — 5 rows by 7 columns, computed from US exchange, SIP and OPRA data.
tickerexpiry_sessionprior_closeexpiry_closeexpiry_day_change_pctexpiry_shares_mvolume_multiple
FB2012-11-1419.8822.3612.52163.1
TWTR2014-05-0638.7231.86-17.7123.812.3
SNAP2017-07-3113.8213.68-1.146.82.9
LYFT2019-08-1952.5151.67-1.622.93.9
UBER2019-11-0628.0126.94-3.9114.22.3
Rows × columns
5 × 7
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 Five famous lockup expirations: expiry-day price change and volume multiple vs. the prior session, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (FB, LYFT, SNAP…)
expiry_session date 2012-11-14 to 2019-11-06
prior_close number 13.82 to 52.51 US dollars
expiry_close number 13.68 to 51.67 US dollars
expiry_day_change_pct number -17.7 to 12.5 percent
expiry_shares_m number 22.9 to 216 count
volume_multiple number 2.3 to 12.3 count

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.

the exact SQL behind every number
WITH daily AS (
    SELECT ticker,
           toDate(toTimeZone(window_start, 'America/New_York')) AS d,
           argMax(close, window_start) AS close,
           sum(toFloat64(volume)) AS vol
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ((ticker = 'FB'   AND window_start >= toDateTime('2012-11-12 00:00:00') AND window_start < toDateTime('2012-11-15 00:00:00'))
        OR (ticker = 'TWTR' AND window_start >= toDateTime('2014-05-04 00:00:00') AND window_start < toDateTime('2014-05-07 00:00:00'))
        OR (ticker = 'SNAP' AND window_start >= toDateTime('2017-07-27 00:00:00') AND window_start < toDateTime('2017-08-01 00:00:00'))
        OR (ticker = 'LYFT' AND window_start >= toDateTime('2019-08-15 00:00:00') AND window_start < toDateTime('2019-08-20 00:00:00'))
        OR (ticker = 'UBER' AND window_start >= toDateTime('2019-11-04 00:00:00') AND window_start < toDateTime('2019-11-07 00:00:00')))
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
    GROUP BY ticker, d
),
packed AS (
    SELECT ticker, arraySort(x -> x.1, groupArray((d, close, vol))) AS rows
    FROM daily
    GROUP BY ticker
)
SELECT ticker,
       toString(rows[-1].1) AS expiry_session,
       round(rows[-2].2, 2) AS prior_close,
       round(rows[-1].2, 2) AS expiry_close,
       round((rows[-1].2 / rows[-2].2 - 1) * 100, 1) AS expiry_day_change_pct,
       round(rows[-1].3 / 1e6, 1) AS expiry_shares_m,
       round(rows[-1].3 / rows[-2].3, 1) AS volume_multiple
FROM packed
ORDER BY expiry_session

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