Odd lots versus round lots in one AAPL session: prints and shares
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 2026-10-05, from Why a Limit Order Didn't Fill: 5 Causes.
| trade_size_bucket | prints | pct_of_prints | pct_of_shares |
|---|---|---|---|
| 1 to 99 (odd lot) | 618678 | 93.3 | 45.3 |
| 100 to 499 | 40936 | 6.2 | 27.4 |
| 500 to 999 | 2109 | 0.3 | 5.7 |
| 1,000 to 9,999 | 1186 | 0.2 | 9.1 |
| 10,000 and up | 26 | 0 | 12.4 |
- Rows × columns
- 5 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
trade_size_bucket |
text | 5 distinct values | |
prints |
number | 26 to 618,678 | |
pct_of_prints |
number | 0 to 93.3 | percent |
pct_of_shares |
number | 5.7 to 45.3 | 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
bucket AS trade_size_bucket,
prints,
round(100 * prints / sum(prints) OVER (), 1) AS pct_of_prints,
round(100 * shares / sum(shares) OVER (), 1) AS pct_of_shares
FROM
(
SELECT
multiIf(size < 100, '1 to 99 (odd lot)',
size < 500, '100 to 499',
size < 1000, '500 to 999',
size < 10000, '1,000 to 9,999',
'10,000 and up') AS bucket,
count() AS prints,
sum(size) AS shares
FROM global_markets.stocks_trades
WHERE ticker = 'AAPL'
AND sip_timestamp >= '2026-09-15 00:00:00'
AND sip_timestamp < '2026-09-16 00:00:00'
AND (toHour(toTimeZone(sip_timestamp, 'America/New_York')) * 60
+ toMinute(toTimeZone(sip_timestamp, 'America/New_York'))) >= 570
AND (toHour(toTimeZone(sip_timestamp, 'America/New_York')) * 60
+ toMinute(toTimeZone(sip_timestamp, 'America/New_York'))) < 960
GROUP BY bucket
)
ORDER BY indexOf(['1 to 99 (odd lot)', '100 to 499', '500 to 999', '1,000 to 9,999', '10,000 and up'], trade_size_bucket)
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