minutes_active
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 what-is-liquidity.
| ticker | slots_with_a_trade | active_share_pct | shares_traded_label |
|---|---|---|---|
| KO | 390 | 100 | 8.27 million |
| SPY | 390 | 100 | 37.26 million |
| AAPL | 390 | 100 | 58.95 million |
| HOG | 343 | 87.9 | 1.08 million |
| DJCO | 102 | 26.2 | 42.45 thousand |
| NATH | 26 | 6.7 | 18.56 thousand |
- Rows × columns
- 6 × 4
- 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 |
|---|---|---|---|
ticker |
text | 6 distinct values (AAPL, DJCO, HOG…) | |
slots_with_a_trade |
number | 26 to 390 | |
active_share_pct |
number | 6.7 to 100 | percent |
shares_traded_label |
text | 6 distinct values |
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,
count() AS slots_with_a_trade,
round(count() / 390 * 100, 1) AS active_share_pct,
formatReadableQuantity(sum(minute_volume)) AS shares_traded_label
FROM
(
SELECT
ticker,
window_start,
max(toFloat64(volume)) AS minute_volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'AAPL', 'KO', 'HOG', 'NATH', 'DJCO')
AND window_start >= toDateTime('2026-09-10 08:00:00', 'UTC')
AND window_start < toDateTime('2026-09-11 01:00:00', 'UTC')
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, window_start
HAVING minute_volume > 0
)
GROUP BY ticker
ORDER BY slots_with_a_trade DESC
Use dis data for your AI assistant
E go open ready to query, with dis page data. Free, no account.