How many of the 390 session minutes each US symbol traded in
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 2026-08-08, from How OHLCV Bars Are Built From Ticks.
| minutes_traded_bucket | stock_count |
|---|---|
| 1-39 | 4677 |
| 40-78 | 1155 |
| 79-117 | 747 |
| 118-156 | 602 |
| 157-195 | 475 |
| 196-234 | 470 |
| 235-273 | 476 |
| 274-312 | 518 |
| 313-351 | 644 |
| 352-390 | 2020 |
- Rows × columns
- 10 × 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 |
|---|---|---|---|
minutes_traded_bucket |
text | 10 distinct values (1-39, 118-156, 157-195…) | |
stock_count |
number | 470 to 4,677 | 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.
WITH per_symbol AS
(
SELECT
ticker,
count() AS populated_minutes
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= '2026-06-10 00:00:00'
AND window_start < '2026-06-11 06:00:00'
AND toDate(toTimeZone(window_start, 'America/New_York')) = '2026-06-10'
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
GROUP BY ticker
)
SELECT
multiIf(
populated_minutes <= 39, '1-39',
populated_minutes <= 78, '40-78',
populated_minutes <= 117, '79-117',
populated_minutes <= 156, '118-156',
populated_minutes <= 195, '157-195',
populated_minutes <= 234, '196-234',
populated_minutes <= 273, '235-273',
populated_minutes <= 312, '274-312',
populated_minutes <= 351, '313-351',
'352-390') AS minutes_traded_bucket,
count() AS stock_count
FROM per_symbol
GROUP BY minutes_traded_bucket
ORDER BY min(populated_minutes)
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