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DXYZ monthly closes and ranges since its March 2024 listing

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 2026-11-01, from How Pre-IPO Shares Trade Before the Ticker.

as of series 32×5read in context →
DXYZ monthly closes and ranges since its March 2024 listing — 32 rows by 5 columns, computed from US exchange, SIP and OPRA data.
monthmonth_end_closemonth_highmonth_lowvolume_millions
2024-03-0125328.254.35
2024-04-0117.4910516.6661.7
2024-05-0114.8718.212.6622.01
2024-06-0115.2218.2910.719.78
2024-07-0112.2816.1511.77.16
2024-08-0113.0314.1595.22
2024-09-019.9512.859.863.15
2024-10-0110.7913.59.638.41
2024-11-0141.265010.9107.02
2024-12-0158.8677.3539.256.14
2025-01-0154.6867.6948.4823.25
2025-02-0140.656.4534.8813.42
2025-03-0135.3946.825.1911.29
2025-04-0137.0940.9725.2111.93
2025-05-0142.4650.53511.29
2025-06-0138.0944.534.589.27
2025-07-0129.740.4829.6213.03
2025-08-0127.3632.0525.99.93
2025-09-0121.327.9521.029.4
2025-10-0128.5832.9321.319.27
2025-11-0122.5128.5119.716.88
2025-12-0130.6340.9822.1848.74
2026-01-0134.3336.6626.8428.41
2026-02-0128.4235.726.2719.23
2026-03-0126.783423.8142.52
2026-04-0132.5633.6826.7537.94
2026-05-0152.572.8732.2133.22
2026-06-0125.7652.6523.8105.66
2026-07-0122.8929.1620.8522.84
2026-08-0132.1336.0822.528.25
2026-09-0130.8534.52916.49
2026-10-0125.5333.4824.918.8
Rows × columns
32 × 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 monthly closes and ranges since its March 2024 listing, derived from the stored result.
ColumnTypeRangeNotes
month date 2024-03-01 to 2026-10-01
month_end_close number 9.95 to 58.86 US dollars
month_high number 12.85 to 105 US dollars
month_low number 8.25 to 48.48 US dollars
volume_millions number 3.15 to 133.22 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(toStartOfMonth(toDate(date)))     AS month,
    round(argMax(toFloat64(close), date), 2)    AS month_end_close,
    round(max(toFloat64(high)), 2)              AS month_high,
    round(min(toFloat64(low)), 2)               AS month_low,
    round(sum(toFloat64(volume)) / 1e6, 2)      AS volume_millions
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'DXYZ'
  AND date >= '2024-03-01'
GROUP BY month
ORDER BY month
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