STRASMORE/EXPLORE 2,170 QUERIES

Symbol count and average daily range, by price bucket

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 Non-Marginable Securities: Reg T vs House.

as of ranking 6×3read in context →
Symbol count and average daily range, by price bucket — 6 rows by 3 columns, computed from US exchange, SIP and OPRA data.
price_bucketlisting_countavg_daily_range_pct
Under $169514.14
$1 to $38139.22
$3 to $54778.37
$5 to $109106.03
$10 to $5065612.19
$50 and up28952.36
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 Symbol count and average daily range, by price bucket, derived from the stored result.
ColumnTypeRangeNotes
price_bucket text 6 distinct values ($1 to $3, $10 to $50, $3 to $5…)
listing_count number 477 to 6,561 count
avg_daily_range_pct number 2.19 to 14.14 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.

the exact SQL behind every number
SELECT
    multiIf(last_close <  1, 'Under $1',
            last_close <  3, '$1 to $3',
            last_close <  5, '$3 to $5',
            last_close < 10, '$5 to $10',
            last_close < 50, '$10 to $50',
                             '$50 and up')  AS price_bucket,
    count()                                 AS listing_count,
    round(avg(avg_range_pct), 2)            AS avg_daily_range_pct
FROM
(
    SELECT
        ticker,
        argMax(close, date)                                 AS last_close,
        avg(100 * toFloat64(high - low) / toFloat64(close)) AS avg_range_pct
    FROM global_markets.stocks_daily_aggs
    WHERE date >= today() - 120
      AND volume > 0
      AND close > 0
    GROUP BY ticker
    HAVING count() >= 40
)
GROUP BY price_bucket
ORDER BY min(last_close)

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