Cash-tape sessions by weekday over the trailing window
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 2026-10-04, from ES Futures Trading Hours and the Daily Break.
| weekday | session_count | avg_volume_millions | earliest_print_et |
|---|---|---|---|
| Monday | 16 | 44.6 | 04:00 |
| Tuesday | 17 | 46.1 | 04:00 |
| Wednesday | 17 | 46.9 | 04:00 |
| Thursday | 17 | 49.2 | 04:00 |
| Friday | 14 | 45.9 | 04:00 |
- Rows × columns
- 5 × 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 |
|---|---|---|---|
weekday |
text | 5 distinct values (Friday, Monday, Thursday…) | |
session_count |
number | 14 to 17 | count |
avg_volume_millions |
number | 44.6 to 49.2 | count |
earliest_print_et |
text | 1 distinct value (04:00) |
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 sessions AS
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS d,
sum(volume) AS vol,
min(toTimeZone(window_start, 'America/New_York')) AS first_bar
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= today() - 120
AND window_start < today() - 2
GROUP BY d
)
SELECT
any(formatDateTime(d, '%W')) AS weekday,
count() AS session_count,
round(avg(vol) / 1e6, 1) AS avg_volume_millions,
min(formatDateTime(first_bar, '%H:%i')) AS earliest_print_et
FROM sessions
GROUP BY toDayOfWeek(d)
ORDER BY toDayOfWeek(d)
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