STRASMORE/EXPLORE 2,830 QUERIES

Round lot size for a basket of familiar tickers, from the latest close

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 2026-09-26, from Why Odd Lots Don't Set the NBBO.

as of ranking 9×3read in context →
Round lot size for a basket of familiar tickers, from the latest close — 9 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickerclose_priceround_lot_size
NVR6297.610
COST922.7640
SPY771.3540
MSFT516.1740
AAPL341.0740
NVDA225.07100
BKNG163.95100
KO87.81100
F12.71100
Rows × columns
9 × 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 Round lot size for a basket of familiar tickers, from the latest close, derived from the stored result.
ColumnTypeRangeNotes
ticker text 9 distinct values (AAPL, BKNG, COST…)
close_price number 12.71 to 6,297.6 US dollars
round_lot_size number 10 to 100

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
    ticker,
    round(toFloat64(any(close)), 2) AS close_price,
    multiIf(any(close) <= 250,   100,
            any(close) <= 1000,  40,
            any(close) <= 10000, 10,
                                 1)  AS round_lot_size
FROM global_markets.stocks_daily_aggs
WHERE date = (SELECT max(date) FROM global_markets.stocks_daily_aggs WHERE date >= today() - 10)
  AND ticker IN ('F', 'KO', 'NVDA', 'AAPL', 'MSFT', 'SPY', 'COST', 'BKNG', 'NVR')
GROUP BY ticker
ORDER BY close_price DESC
⌘/Ctrl + Enter

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