session_split
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 2026-10-03, from us-stock-market-hours-lagos-time.
| segment | volume_millions | share_pct | avg_thousand_per_minute |
|---|---|---|---|
| Regular session | 1655.2 | 83.8 | 90.3 |
| After-hours | 273.5 | 13.8 | 29.5 |
| Premarket | 47.3 | 2.4 | 3.5 |
- Rows × columns
- 3 × 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 |
|---|---|---|---|
segment |
text | 3 distinct values (After-hours, Premarket, Regular session) | |
volume_millions |
number | 47.3 to 1,655.2 | count |
share_pct |
number | 2.4 to 83.8 | percent |
avg_thousand_per_minute |
number | 3.5 to 90.3 |
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 bars AS
(
SELECT
toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York')) AS et_min,
toFloat64(volume) AS volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= today() - 70
AND window_start < today() - 2
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) >= 240
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) < 1200
)
SELECT
multiIf(et_min < 570, 'Premarket',
et_min < 960, 'Regular session',
'After-hours') AS segment,
round(sum(volume) / 1e6, 1) AS volume_millions,
round(100 * sum(volume) / (SELECT sum(volume) FROM bars), 1) AS share_pct,
round(avg(volume) / 1000, 1) AS avg_thousand_per_minute
FROM bars
GROUP BY segment
ORDER BY share_pct DESC
Use dis data for your AI assistant
E go open ready to query, with dis page data. Free, no account.