STRASMORE/EXPLORE 2,433 QUERIES

dxyz_monthly

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 31×5read in context →
dxyz_monthly — 31 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
2026-09-0131.3134.530.110.58
Rows × columns
31 × 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, derived from the stored result.
ColumnTypeRangeNotes
month date 2024-03-01 to 2026-09-01
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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