STRASMORE/EXPLORE 2,170 QUERIES

SPY: median shares traded per minute, by 30-minute clock bucket (ET, last 30 days, extended hours)

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 2026-08-22, from What Is RVOL (Relative Volume)? How to Read It.

as of series 32×2read in context →
SPY: median shares traded per minute, by 30-minute clock bucket (ET, last 30 days, extended hours) — 32 rows by 2 columns, computed from US exchange, SIP and OPRA data.
et_timemedian_minute_volume_k
04:000.6
04:300.3
05:000.3
05:300.3
06:000.4
06:300.5
07:001.1
07:301.6
08:002.2
08:303.3
09:004.7
09:30113.2
10:0082.9
10:3077.6
11:0064.3
11:3052.3
12:0049.3
12:3043.5
13:0043.4
13:3036.8
14:0052.2
14:3054.8
15:0071
15:30152.6
16:0021.7
16:302.7
17:001.1
17:300.7
18:000.9
18:300.4
19:000.4
19:300.6
Rows × columns
32 × 2
Period covered
to
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: median shares traded per minute, by 30-minute clock bucket (ET, last 30 days, extended hours), derived from the stored result.
ColumnTypeRangeNotes
et_time date 04:00 to 19:30
median_minute_volume_k number 0.3 to 152.6 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.

the exact SQL behind every number
SELECT formatDateTime(toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
       round(quantileDeterministic(0.5)(toFloat64(volume), toUInt64(toUnixTimestamp(window_start))) / 1000, 1) AS median_minute_volume_k
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
  AND window_start >= now() - INTERVAL 30 DAY
  AND toDate(toTimeZone(window_start, 'America/New_York')) < toDate(toTimeZone(now(), 'America/New_York'))
GROUP BY et_time
HAVING et_time >= '04:00' AND et_time < '20:00'
ORDER BY et_time

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