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 2026-09-14, from US Stocks 23/5 Trading: The December 2026 Plan.
| session_date | session_label | daily_bar_millions | regular_session_millions | outside_regular_pct |
|---|---|---|---|---|
| 2026-08-17 | Aug 17 | 34.4 | 28.4 | 17.44 |
| 2026-08-18 | Aug 18 | 43.9 | 34.4 | 21.62 |
| 2026-08-19 | Aug 19 | 40.3 | 31 | 23.11 |
| 2026-08-20 | Aug 20 | 45.5 | 38 | 16.61 |
| 2026-08-21 | Aug 21 | 39.2 | 33.7 | 14.06 |
| 2026-08-24 | Aug 24 | 32.4 | 27.2 | 16.01 |
| 2026-08-25 | Aug 25 | 27.4 | 24 | 12.45 |
| 2026-08-26 | Aug 26 | 28.8 | 22.9 | 20.41 |
| 2026-08-27 | Aug 27 | 34.6 | 28.8 | 16.74 |
| 2026-08-28 | Aug 28 | 36.7 | 31.6 | 13.96 |
| 2026-08-31 | Aug 31 | 38.8 | 29.8 | 23.25 |
| 2026-09-01 | Sep 1 | 41.1 | 32.2 | 21.78 |
| 2026-09-02 | Sep 2 | 29.6 | 22.4 | 24.22 |
| 2026-09-03 | Sep 3 | 43.5 | 35.5 | 18.41 |
| 2026-09-04 | Sep 4 | 34.1 | 26.8 | 21.39 |
| 2026-09-08 | Sep 8 | 44.7 | 31.8 | 28.85 |
| 2026-09-09 | Sep 9 | 32.8 | 27.5 | 16.23 |
| 2026-09-10 | Sep 10 | 42.7 | 37.3 | 12.82 |
| 2026-09-11 | Sep 11 | 45.5 | 36.9 | 18.93 |
- Rows × columns
- 19 × 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 | 2026-08-17 to 2026-09-11 | |
session_label |
text | 19 distinct values (Aug 17, Aug 18, Aug 19…) | |
daily_bar_millions |
number | 27.4 to 45.5 | |
regular_session_millions |
number | 22.4 to 38 | |
outside_regular_pct |
number | 12.45 to 28.85 | 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.
the exact SQL behind every number
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(window_start, 'America/New_York')) AS et_date,
sum(volume) AS regular_volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= today() - 30
AND window_start < today() - 2
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 et_date
) AS intraday ON intraday.et_date = daily.date
ORDER BY daily.date
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