STRASMORE/EXPLORE 2,433 QUERIES

dxyz_2026_weekly

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 2026-09-20, from how-pre-ipo-shares-trade.

as of series 25×5read in context →
dxyz_2026_weekly — 25 rows by 5 columns, computed from US exchange, SIP and OPRA data.
weekweek_closeweek_highweek_lowvolume_millions
2026-03-3028.4529.882612.44
2026-04-062829.1926.757.35
2026-04-133030.6227.969.14
2026-04-2029.4430.4128.436.92
2026-04-2734.7134.9528.628.16
2026-05-0454.65534.9320.79
2026-05-1147.6271.2442.544.36
2026-05-1866.6470.746.5635.4
2026-05-2552.572.8749.2630.74
2026-06-0141.7952.6539.1529.61
2026-06-0828.9742.928.6641.24
2026-06-1527.830.3726.420.78
2026-06-2225.228.2723.811.75
2026-06-2924.8426.3923.64.36
2026-07-0627.6729.1623.985.07
2026-07-1325.9728.325.124.86
2026-07-2023.326.1822.185.04
2026-07-2722.8923.5920.855.76
2026-08-0325.8926.1522.54.34
2026-08-103233.38269.19
2026-08-1734.4334.8931.157.39
2026-08-2434.7436.0831.555.65
2026-08-3132.733.1930.194.92
2026-09-0732.1134.531.23.48
2026-09-1431.3132.130.13.86
Rows × columns
25 × 5
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 dxyz_2026_weekly, derived from the stored result.
ColumnTypeRangeNotes
week date 2026-03-30 to 2026-09-14
week_close number 22.89 to 66.64 US dollars
week_high number 23.59 to 72.87 US dollars
week_low number 20.85 to 49.26 US dollars
volume_millions number 3.48 to 44.36 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.

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
    toString(toStartOfWeek(toDate(date), 1))    AS week,
    round(argMax(toFloat64(close), date), 2)    AS week_close,
    round(max(toFloat64(high)), 2)              AS week_high,
    round(min(toFloat64(low)), 2)               AS week_low,
    round(sum(toFloat64(volume)) / 1e6, 2)      AS volume_millions
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'DXYZ'
  AND date >= '2026-03-30'
GROUP BY week
ORDER BY week
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