STRASMORE/EXPLORE 2,170 QUERIES

Average shares per print, monthly, MSFT and KO

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 2026-08-06, from Iceberg Orders Explained: Hidden Liquidity.

as of series 90×4read in context →
Average shares per print, monthly, MSFT and KO — 90 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthmonth_labelmsft_shares_per_printko_shares_per_print
2019-01-01Jan 2019137.4175
2019-02-01Feb 2019137209.9
2019-03-01Mar 2019135.9207
2019-04-01Apr 2019129176.6
2019-05-01May 2019117.2162.6
2019-06-01Jun 2019122.7169.2
2019-07-01Jul 2019122.1163.4
2019-08-01Aug 2019119152.7
2019-09-01Sep 2019107.2142.8
2019-10-01Oct 2019118.3143.2
2019-11-01Nov 2019126.8158.8
2019-12-01Dec 2019125161.4
2020-01-01Jan 2020116.5168.1
2020-02-01Feb 2020108.6136.9
2020-03-01Mar 2020102127.8
2020-04-01Apr 2020107.8122.5
2020-05-01May 2020106.5125.1
2020-06-01Jun 2020100.6120.5
2020-07-01Jul 202087.9136
2020-08-01Aug 202091.1131
2020-09-01Sep 202082.5128.7
2020-10-01Oct 202086121.5
2020-11-01Nov 202085.9125.5
2020-12-01Dec 202093.7126.3
2021-01-01Jan 202182.8134.1
2021-02-01Feb 202175.8129.7
2021-03-01Mar 202167.1136.5
2021-04-01Apr 202171.2126.5
2021-05-01May 202171.5139.7
2021-06-01Jun 202177.8135.1
2021-07-01Jul 202174.4139.3
2021-08-01Aug 202172.8124.7
2021-09-01Sep 202166.1139.4
2021-10-01Oct 202169.1142.2
2021-11-01Nov 202165.3135.7
2021-12-01Dec 202163.2152.7
2022-01-01Jan 202261.5137
2022-02-01Feb 202260.4131.6
2022-03-01Mar 202260.7120.9
2022-04-01Apr 202265.6110.7
2022-05-01May 202269.1112.4
2022-06-01Jun 202270108.3
2022-07-01Jul 202270.1104.1
2022-08-01Aug 202267.388.3
2022-09-01Sep 202271.894.7
2022-10-01Oct 202275.396.9
2022-11-01Nov 202276.194.1
2022-12-01Dec 202274.793.9
2023-01-01Jan 202372.597.4
2023-02-01Feb 202371.3100
2023-03-01Mar 20236895
2023-04-01Apr 202363.480.7
2023-05-01May 202360.382.6
2023-06-01Jun 202352.886
2023-07-01Jul 20235677.3
2023-08-01Aug 202350.565.6
2023-09-01Sep 20235180.6
2023-10-01Oct 20235686
2023-11-01Nov 20235682.4
2023-12-01Dec 202355.685.8
2024-01-01Jan 202448.785.6
2024-02-01Feb 20244685.9
2024-03-01Mar 202443.282.7
2024-04-01Apr 202440.780.6
2024-05-01May 202439.865
2024-06-01Jun 202436.564.4
2024-07-01Jul 202434.964.1
2024-08-01Aug 202438.971.3
2024-09-01Sep 20243965.7
2024-10-01Oct 202438.359.5
2024-11-01Nov 202445.978.1
2024-12-01Dec 202447.994.2
2025-01-01Jan 202544.792.2
2025-02-01Feb 202546.492.7
2025-03-01Mar 202545.195.9
2025-04-01Apr 202547.586.5
2025-05-01May 202546.986.5
2025-06-01Jun 202543.495.3
2025-07-01Jul 20254099.4
2025-08-01Aug 202542.484.3
2025-09-01Sep 202537.389.7
2025-10-01Oct 202531.954.7
2025-11-01Nov 202530.756
2025-12-01Dec 202531.552.9
2026-01-01Jan 202633.758.2
2026-02-01Feb 202636.757.5
2026-03-01Mar 202635.845.4
2026-04-01Apr 202636.243.3
2026-05-01May 202638.740.5
2026-06-01Jun 202639.547.7
Rows × columns
90 × 4
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 Average shares per print, monthly, MSFT and KO, derived from the stored result.
ColumnTypeRangeNotes
month date 2019-01-01 to 2026-06-01
month_label text 90 distinct values (Apr 2019, Apr 2020, Apr 2021…)
msft_shares_per_print number 30.7 to 137.4 count
ko_shares_per_print number 40.5 to 209.9 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.

the exact SQL behind every number 
SELECT
    toString(month_start)                                                            AS month,
    formatDateTime(month_start, '%b %Y')                                             AS month_label,
    round(sumIf(volume, ticker = 'MSFT') / sumIf(transactions, ticker = 'MSFT'), 1)  AS msft_shares_per_print,
    round(sumIf(volume, ticker = 'KO')   / sumIf(transactions, ticker = 'KO'), 1)    AS ko_shares_per_print
FROM
(
    SELECT
        toStartOfMonth(toDate(toTimeZone(window_start, 'America/New_York'))) AS month_start,
        ticker,
        volume,
        transactions
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('MSFT', 'KO')
      AND window_start >= toDateTime('2019-01-01 00:00:00', 'UTC')
      AND window_start <  toDateTime('2026-07-01 00:00:00', 'UTC')
)
GROUP BY month_start
HAVING sumIf(transactions, ticker = 'MSFT') > 0
   AND sumIf(transactions, ticker = 'KO') > 0
ORDER BY month_start

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