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Odd lot share of prints and of volume, minute by minute

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 2026-08-08, from How OHLCV Bars Are Built From Ticks.

as of series 15×4read in context →
Odd lot share of prints and of volume, minute by minute — 15 rows by 4 columns, computed from US exchange, SIP and OPRA data.
et_timeodd_lot_print_pctodd_lot_volume_pctprint_count
09:3079.53.318124
09:3155.311.44198
09:3263.514.44942
09:3369.918.34617
09:3471.217.64789
09:3557.512.44584
09:3656.612.34895
09:3751.712.14840
09:385313.85397
09:394611.47294
09:405713.65533
09:4160.212.16700
09:4249.29.65081
09:4353.410.33976
09:4455.39.83843
Rows × columns
15 × 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 Odd lot share of prints and of volume, minute by minute, derived from the stored result.
ColumnTypeRangeNotes
et_time date 09:30 to 09:44
odd_lot_print_pct number 46 to 79.5 percent
odd_lot_volume_pct number 3.3 to 18.3 percent
print_count number 3,843 to 18,124 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
    formatDateTime(toStartOfMinute(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i') AS et_time,
    round(100 * countIf(has(conditions, 37)) / count(), 1)                            AS odd_lot_print_pct,
    round(100 * toFloat64(sumIf(size, has(conditions, 37))) / toFloat64(sum(size)), 1) AS odd_lot_volume_pct,
    count()                                                                           AS print_count
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
  AND sip_timestamp >= '2026-06-10 13:30:00'
  AND sip_timestamp <  '2026-06-10 13:45:00'
GROUP BY et_time
ORDER BY et_time

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