One session, many prices: VOO in half-hour marks, Wednesday July 22, 2026
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 2026-08-02, from Mutual Funds vs ETFs: What Actually Differs.
| et_time | voo_price | volume |
|---|---|---|
| 04:00 | 685.8 | 18914.241196 |
| 04:30 | 685.8 | 174 |
| 05:00 | 686.23 | 1057.855226 |
| 05:30 | 685.9 | 1065.177594 |
| 06:00 | 686.54 | 8200.181237 |
| 06:30 | 686.47 | 1708 |
| 07:00 | 685.85 | 10609.392414 |
| 07:30 | 685.3 | 20722.300312 |
| 08:00 | 685.18 | 509673.280664 |
| 08:30 | 685.04 | 43734.396262 |
| 09:00 | 686.32 | 32709.348633 |
| 09:30 | 688.26 | 381787.540939 |
| 10:00 | 686.87 | 319265.745788 |
| 10:30 | 687.47 | 150488.182263 |
| 11:00 | 688.82 | 157319.807839 |
| 11:30 | 689.14 | 147454.236192 |
| 12:00 | 689.26 | 116415.504579 |
| 12:30 | 689.25 | 111566.146267 |
| 13:00 | 688.55 | 102694.564332 |
| 13:30 | 688.02 | 110321.800433 |
| 14:00 | 688.01 | 186764.139898 |
| 14:30 | 687.97 | 129859.792631 |
| 15:00 | 687.54 | 265631.577303 |
| 15:30 | 686.98 | 386868.517453 |
| 16:00 | 687.92 | 59096.92596 |
| 16:30 | 687.6 | 16808.165065 |
| 17:00 | 687.23 | 7502.477034 |
| 17:30 | 686.5 | 7367.972299 |
| 18:00 | 685.62 | 11842.400604 |
| 18:30 | 685.66 | 7595.646928 |
| 19:00 | 685.35 | 6669.750178 |
| 19:30 | 686.26 | 5845.393648 |
- Rows × columns
- 32 × 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 | 04:00 to 19:30 | |
voo_price |
number | 685.04 to 689.26 | US dollars |
volume |
number | 174 to 509,673.2807 | 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
WITH bars AS (
SELECT toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 30 MINUTE) AS bucket,
argMax(close, window_start) AS last_price,
sum(volume) AS shares
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'VOO'
AND toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2026-07-22')
GROUP BY bucket
)
SELECT formatDateTime(bucket, '%H:%i') AS et_time,
round(last_price, 2) AS voo_price,
shares AS volume
FROM bars
ORDER BY bucket
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