Weekly share turnover across US companies, four-week average
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 2026-10-04, from Rule 144 and Selling Restricted Stock.
| turnover_bucket | companies |
|---|---|
| under 1% | 996 |
| 1% to 2% | 311 |
| 2% to 4% | 893 |
| 4% to 8% | 1321 |
| 8% or more | 1143 |
- Rows × columns
- 5 × 2
- 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 |
|---|---|---|---|
turnover_bucket |
text | 5 distinct values (1% to 2%, 2% to 4%, 4% to 8%…) | |
companies |
number | 311 to 1,321 |
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(
weekly_turnover_pct < 1, 'under 1%',
weekly_turnover_pct < 2, '1% to 2%',
weekly_turnover_pct < 4, '2% to 4%',
weekly_turnover_pct < 8, '4% to 8%',
'8% or more') AS turnover_bucket,
count() AS companies
FROM
(
SELECT 100 * (v.weekly_volume / s.shares_out) AS weekly_turnover_pct
FROM
(
SELECT
ticker,
toFloat64(sum(volume)) / 4 AS weekly_volume
FROM global_markets.stocks_daily_aggs
WHERE date >= today() - 32
AND date < today() - 4
AND ticker NOT IN ('SPCX')
GROUP BY ticker
HAVING weekly_volume > 0
) AS v
INNER JOIN
(
SELECT
arrayJoin(tickers) AS ticker,
toFloat64(argMax(basic_shares_outstanding, (filing_date, period_end))) AS shares_out,
max(period_end) AS latest_period
FROM global_markets.stocks_income_statements
GROUP BY ticker
HAVING shares_out > 1000000
AND latest_period >= today() - 400
) AS s ON s.ticker = v.ticker
)
GROUP BY turnover_bucket
ORDER BY min(weekly_turnover_pct)
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