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.
| et_time | median_minute_volume_k |
|---|---|
| 04:00 | 0.6 |
| 04:30 | 0.3 |
| 05:00 | 0.3 |
| 05:30 | 0.3 |
| 06:00 | 0.4 |
| 06:30 | 0.5 |
| 07:00 | 1.1 |
| 07:30 | 1.6 |
| 08:00 | 2.2 |
| 08:30 | 3.3 |
| 09:00 | 4.7 |
| 09:30 | 113.2 |
| 10:00 | 82.9 |
| 10:30 | 77.6 |
| 11:00 | 64.3 |
| 11:30 | 52.3 |
| 12:00 | 49.3 |
| 12:30 | 43.5 |
| 13:00 | 43.4 |
| 13:30 | 36.8 |
| 14:00 | 52.2 |
| 14:30 | 54.8 |
| 15:00 | 71 |
| 15:30 | 152.6 |
| 16:00 | 21.7 |
| 16:30 | 2.7 |
| 17:00 | 1.1 |
| 17:30 | 0.7 |
| 18:00 | 0.9 |
| 18:30 | 0.4 |
| 19:00 | 0.4 |
| 19:30 | 0.6 |
- 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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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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