Shares traded per 30-minute bucket, regular hours (billions)
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 2026-07-26, from Market Recap: June 30, 2026, The Day in Numbers.
| et_time | shares_bn | pct_of_biggest_bucket |
|---|---|---|
| 09:30 | 2.05 | 76.4 |
| 10:00 | 1.55 | 57.6 |
| 10:30 | 1.36 | 50.6 |
| 11:00 | 1.19 | 44.2 |
| 11:30 | 0.97 | 36.1 |
| 12:00 | 0.9 | 33.6 |
| 12:30 | 0.88 | 32.7 |
| 13:00 | 0.82 | 30.5 |
| 13:30 | 0.78 | 29.1 |
| 14:00 | 0.8 | 29.8 |
| 14:30 | 0.92 | 34.3 |
| 15:00 | 1.08 | 40.1 |
| 15:30 | 2.69 | 100 |
- Rows × columns
- 13 × 3
- 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 | 09:30 to 15:30 | |
shares_bn |
number | 0.78 to 2.69 | count |
pct_of_biggest_bucket |
number | 29.1 to 100 | 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
formatDateTime(toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_time,
round(sum(toFloat64(volume)) / 1e9, 2) AS shares_bn,
round(100 * sum(toFloat64(volume)) / max(sum(toFloat64(volume))) OVER (), 1) AS pct_of_biggest_bucket
FROM global_markets.delayed_stocks_minute_aggs
WHERE window_start >= '2026-06-30 13:30:00' AND window_start < '2026-06-30 20:00:00'
GROUP BY et_time
ORDER BY et_time
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