STRASMORE/EXPLORE 2,170 QUERIES

How many listed names sit in each round lot tier

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 2026-08-22, from Why Odd Lots Don't Set the NBBO.

as of ranking 3×3read in context →
How many listed names sit in each round lot tier — 3 rows by 3 columns, computed from US exchange, SIP and OPRA data.
bucketround_lot_sizelisted_stocks
Up to $250.001009335
$250.01 to $1,000.0040283
$1,000.01 to $10,000.001024
Rows × columns
3 × 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 How many listed names sit in each round lot tier, derived from the stored result.
ColumnTypeRangeNotes
bucket text 3 distinct values
round_lot_size number 10 to 100
listed_stocks number 24 to 9,335

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
    multiIf(tier = 1, 'Up to $250.00',
            tier = 2, '$250.01 to $1,000.00',
            tier = 3, '$1,000.01 to $10,000.00',
                      'Above $10,000.00')                    AS bucket,
    multiIf(tier = 1, 100, tier = 2, 40, tier = 3, 10, 1)    AS round_lot_size,
    count()                                                  AS listed_stocks
FROM
(
    SELECT
        ticker,
        multiIf(any(close) <= 250,   1,
                any(close) <= 1000,  2,
                any(close) <= 10000, 3,
                                     4) AS tier
    FROM global_markets.stocks_daily_aggs
    WHERE date = (SELECT max(date) FROM global_markets.stocks_daily_aggs WHERE date >= today() - 10)
      AND close > 0
    GROUP BY ticker
)
GROUP BY tier
ORDER BY tier

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