STRASMORE/EXPLORE 2,549 QUERIES

price_ladder

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 2026-09-24, from how-much-does-one-share-of-stock-cost.

as of ranking 7×2read in context →
price_ladder — 7 rows by 2 columns, computed from US exchange, SIP and OPRA data.
price_bandstock_count
Under $1366
$1 to $51067
$5 to $201605
$20 to $501703
$50 to $100983
$100 to $500836
$500 and up72
Rows × columns
7 × 2
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 price_ladder, derived from the stored result.
ColumnTypeRangeNotes
price_band text 7 distinct values ($1 to $5, $100 to $500, $20 to $50…)
stock_count number 72 to 1,703 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.

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
    price_band,
    count() AS stock_count
FROM
(
    SELECT
        multiIf(px <   1, 'Under $1',
                px <   5, '$1 to $5',
                px <  20, '$5 to $20',
                px <  50, '$20 to $50',
                px < 100, '$50 to $100',
                px < 500, '$100 to $500',
                          '$500 and up') AS price_band,
        multiIf(px <   1, 0,
                px <   5, 1,
                px <  20, 2,
                px <  50, 3,
                px < 100, 4,
                px < 500, 5,
                          6)             AS band_order
    FROM
    (
        SELECT toFloat64(close) AS px
        FROM global_markets.stocks_daily_aggs
        WHERE date = (SELECT max(date) FROM global_markets.stocks_daily_aggs)
          AND ifNull(otc, 0) = 0
          AND volume > 0
          AND close > 0
    )
)
GROUP BY price_band, band_order
ORDER BY band_order
⌘/Ctrl + Enter

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