SPY daily bar volume vs. the regular-session slice (trailing month)
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 2026-09-28, from US Stocks 23/5 Trading: The December 2026 Plan.
| session_date | session_label | daily_bar_millions | regular_session_millions | outside_regular_pct |
|---|---|---|---|---|
| 2026-08-31 | Aug 31 | 38.8 | 31.4 | 19.12 |
| 2026-09-01 | Sep 1 | 41.1 | 33.8 | 17.84 |
| 2026-09-02 | Sep 2 | 29.6 | 23.2 | 21.48 |
| 2026-09-03 | Sep 3 | 43.5 | 36.7 | 15.77 |
| 2026-09-04 | Sep 4 | 34.1 | 27.5 | 19.35 |
| 2026-09-08 | Sep 8 | 44.7 | 34.1 | 23.77 |
| 2026-09-09 | Sep 9 | 32.8 | 28.5 | 13.09 |
| 2026-09-10 | Sep 10 | 42.7 | 38.6 | 9.64 |
| 2026-09-11 | Sep 11 | 45.5 | 38 | 16.42 |
| 2026-09-14 | Sep 14 | 44 | 39.8 | 9.5 |
| 2026-09-15 | Sep 15 | 46.2 | 37.2 | 19.39 |
| 2026-09-16 | Sep 16 | 59.2 | 51.6 | 12.88 |
| 2026-09-17 | Sep 17 | 49.7 | 36.1 | 27.31 |
| 2026-09-18 | Sep 18 | 65.4 | 73.7 | -12.7 |
| 2026-09-21 | Sep 21 | 50.5 | 43.5 | 13.93 |
| 2026-09-22 | Sep 22 | 34.8 | 29.6 | 14.85 |
| 2026-09-23 | Sep 23 | 54.9 | 39.3 | 28.48 |
| 2026-09-24 | Sep 24 | 44 | 33.7 | 23.44 |
- Rows × columns
- 18 × 5
- Period covered
- to
- 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 |
|---|---|---|---|
session_date |
date | 2026-08-31 to 2026-09-24 | |
session_label |
text | 18 distinct values (Aug 31, Sep 1, Sep 10…) | |
daily_bar_millions |
number | 29.6 to 65.4 | |
regular_session_millions |
number | 23.2 to 73.7 | |
outside_regular_pct |
number | -12.7 to 28.48 | 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.
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
toString(daily.date) AS session_date,
concat(formatDateTime(daily.date, '%b'), ' ', toString(toDayOfMonth(daily.date))) AS session_label,
round(toFloat64(daily.day_volume) / 1e6, 1) AS daily_bar_millions,
round(toFloat64(intraday.regular_volume) / 1e6, 1) AS regular_session_millions,
round(100 * (toFloat64(daily.day_volume) - toFloat64(intraday.regular_volume))
/ toFloat64(daily.day_volume), 2) AS outside_regular_pct
FROM
(
SELECT
date,
max(volume) AS day_volume
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
AND date >= today() - 30
AND date < today() - 2
GROUP BY date
) AS daily
INNER JOIN
(
SELECT
toDate(toTimeZone(sip_timestamp, 'America/New_York')) AS et_date,
sumIf(toFloat64(size), has(conditions, 8)
OR (toHour(toTimeZone(sip_timestamp, 'America/New_York')) * 60
+ toMinute(toTimeZone(sip_timestamp, 'America/New_York'))) BETWEEN 570 AND 959) AS regular_volume
FROM global_markets.stocks_trades
WHERE ticker = 'SPY'
AND sip_timestamp >= today() - 30
AND sip_timestamp < today() - 2
AND NOT hasAny(conditions, [15, 16, 38])
GROUP BY et_date
HAVING countIf(has(conditions, 8)) > 0
) AS intraday ON intraday.et_date = daily.date
ORDER BY daily.date
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