STRASMORE/EXPLORE 2,948 QUERIES

liquidity_and_print_gaps

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 2026-10-02, from how-long-a-market-order-takes-to-fill.

as of ranking 5×3read in context →
liquidity_and_print_gaps — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
print_count_bucketnamesmedian_seconds_between_prints
1. under 100 prints3357731.2
2. 100 to 999 prints347279.3
3. 1,000 to 9,999 prints30086.8
4. 10,000 to 99,999 prints25291.1
5. 100,000 prints or more1850.2
Rows × columns
5 × 3
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 liquidity_and_print_gaps, derived from the stored result.
ColumnTypeRangeNotes
print_count_bucket text 5 distinct values
names number 185 to 3,472
median_seconds_between_prints number 0.2 to 731.2

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
    multiIf(session_prints <    100, '1. under 100 prints',
            session_prints <   1000, '2. 100 to 999 prints',
            session_prints <  10000, '3. 1,000 to 9,999 prints',
            session_prints < 100000, '4. 10,000 to 99,999 prints',
                                     '5. 100,000 prints or more')  AS print_count_bucket,
    count()                                                        AS names,
    round(23400.0 / quantileDeterministic(0.5)(
        toFloat64(session_prints), cityHash64(ticker)), 1)          AS median_seconds_between_prints
FROM
(
    SELECT
        ticker,
        max(transactions) AS session_prints
    FROM global_markets.stocks_daily_aggs
    WHERE date = '2026-09-16'
      AND transactions > 0
      AND ifNull(otc, 0) = 0
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
)
GROUP BY print_count_bucket
ORDER BY print_count_bucket
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