STRASMORE/EXPLORE 2,648 QUERIES

daily_prints

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 2026-09-26, from when-do-index-funds-trade.

as of series 16×3read in context →
daily_prints — 16 rows by 3 columns, computed from US exchange, SIP and OPRA data.
session_datetrade_prints_thousandsminutes_with_prints
2026-09-02264.1636
2026-09-03246.6619
2026-09-04302.1631
2026-09-08423.5684
2026-09-09322.6650
2026-09-10360.3682
2026-09-11270.1635
2026-09-14367.9680
2026-09-15356659
2026-09-16324.5720
2026-09-17231.4699
2026-09-18276.1622
2026-09-21330.6735
2026-09-22250.6692
2026-09-23272.2663
2026-09-24243.7679
Rows × columns
16 × 3
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 daily_prints, derived from the stored result.
ColumnTypeRangeNotes
session_date date 2026-09-02 to 2026-09-24
trade_prints_thousands number 231.4 to 423.5
minutes_with_prints number 619 to 735

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(toDate(toTimeZone(window_start, 'America/New_York'))) AS session_date,
    round(sum(transactions) / 1000, 1)                             AS trade_prints_thousands,
    count()                                                        AS minutes_with_prints
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'VOO'
  AND window_start >= today() - 24
  AND window_start <  today() - 1
GROUP BY session_date
ORDER BY session_date
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