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SPY volume per minute into the close, June 2026 session average

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 2026-08-07, from Time in Force Explained: Day, GTC, IOC, FOK.

as of series 16×2read in context →
SPY volume per minute into the close, June 2026 session average — 16 rows by 2 columns, computed from US exchange, SIP and OPRA data.
et_timevolume_millions
15:450.22
15:460.28
15:470.24
15:480.25
15:490.26
15:500.55
15:510.39
15:520.35
15:530.33
15:540.42
15:550.59
15:560.5
15:570.59
15:580.93
15:592.05
16:000.39
Rows × columns
16 × 2
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for SPY volume per minute into the close, June 2026 session average, derived from the stored result.
ColumnTypeRangeNotes
et_time text 16 distinct values (15:45, 15:46, 15:47…)
volume_millions number 0.22 to 2.05 count

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
    formatDateTime(toTimeZone(window_start, 'America/New_York'), '%H:%i') AS et_time,
    round(sum(volume) / countDistinct(toDate(toTimeZone(window_start, 'America/New_York'))) / 1e6, 2) AS volume_millions
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
  AND window_start >= toDateTime('2026-06-01 08:00:00', 'UTC')
  AND window_start <  toDateTime('2026-07-01 00:00:00', 'UTC')
  AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
       + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 945 AND 960
GROUP BY et_time
ORDER BY et_time
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