STRASMORE/EXPLORE 2,830 QUERIES

lot_sizes

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 2026-09-30, from partial-assignment-of-short-options.

as of ranking 6×3read in context →
lot_sizes — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
lot_sizetradespct_of_trades
1 contract8087557.4
2 to 42839520.1
5 to 91479510.5
10 to 24118818.4
25 to 9942323
100 or more7980.6
Rows × columns
6 × 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 lot_sizes, derived from the stored result.
ColumnTypeRangeNotes
lot_size text 6 distinct values (1 contract, 10 to 24, 100 or more…)
trades number 798 to 80,875 count
pct_of_trades number 0.6 to 57.4 percent

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(size = 1,   '1 contract',
            size <= 4,  '2 to 4',
            size <= 9,  '5 to 9',
            size <= 24, '10 to 24',
            size <= 99, '25 to 99',
                        '100 or more')             AS lot_size,
    count()                                        AS trades,
    round(100 * count() / sum(count()) OVER (), 1) AS pct_of_trades
FROM global_markets.options_trades
WHERE underlying_symbol = 'AAPL'
  AND sip_timestamp >= '2026-05-14 00:00:00'
  AND sip_timestamp <  '2026-05-15 00:00:00'
GROUP BY lot_size
ORDER BY min(size)
⌘/Ctrl + Enter

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