intraday_path
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 2026-09-26, from when-do-index-funds-trade.
| et_time | voo_change_pct | qqq_change_pct |
|---|---|---|
| 04:00 | -0.02 | -0.02 |
| 04:30 | -0.05 | -0.04 |
| 05:00 | -0.09 | -0.07 |
| 05:30 | 0.15 | 0.17 |
| 06:00 | 0.17 | 0.24 |
| 06:30 | 0.28 | 0.37 |
| 07:00 | 0.31 | 0.41 |
| 07:30 | 0.35 | 0.45 |
| 08:00 | 0.37 | 0.45 |
| 08:30 | 0.44 | 0.5 |
| 09:00 | 0.4 | 0.45 |
| 09:30 | 0.32 | 0.49 |
| 10:00 | 0.05 | 0.15 |
| 10:30 | -0.1 | -0.15 |
| 11:00 | 0.04 | 0.02 |
| 11:30 | 0 | -0.03 |
| 12:00 | 0.06 | 0 |
| 12:30 | 0.07 | -0.01 |
| 13:00 | -0.04 | -0.1 |
| 13:30 | 0.02 | -0.07 |
| 14:00 | 0.07 | -0.02 |
| 14:30 | 0.05 | -0.11 |
| 15:00 | -0.02 | -0.16 |
| 15:30 | 0.03 | -0.13 |
| 16:00 | 0.12 | -0.05 |
| 16:30 | 0.12 | -0.02 |
| 17:00 | 0.13 | -0.08 |
| 17:30 | 0.09 | -0.1 |
| 18:00 | 0.11 | -0.08 |
| 18:30 | 0.16 | -0.02 |
| 19:00 | 0.12 | -0.06 |
| 19:30 | 0.14 | -0.04 |
- Rows × columns
- 32 × 3
- 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 |
text | 32 distinct values (04:00, 04:30, 05:00…) | |
voo_change_pct |
number | -0.1 to 0.44 | percent |
qqq_change_pct |
number | -0.16 to 0.5 | 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.
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.
WITH
bars AS
(
SELECT
ticker,
toTimeZone(window_start, 'America/New_York') AS et,
toFloat64(close) AS px
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('VOO', 'QQQ')
AND window_start >= toDateTime('2026-09-15 04:00:00')
AND window_start < toDateTime('2026-09-16 04:00:00')
),
firsts AS
(
SELECT
ticker,
argMin(px, et) AS open_px
FROM bars
GROUP BY ticker
)
SELECT
formatDateTime(toStartOfInterval(b.et, INTERVAL 30 MINUTE), '%H:%i') AS et_time,
round(100 * (argMaxIf(b.px, b.et, b.ticker = 'VOO') / anyIf(f.open_px, f.ticker = 'VOO') - 1), 2) AS voo_change_pct,
round(100 * (argMaxIf(b.px, b.et, b.ticker = 'QQQ') / anyIf(f.open_px, f.ticker = 'QQQ') - 1), 2) AS qqq_change_pct
FROM bars AS b
INNER JOIN firsts AS f ON f.ticker = b.ticker
GROUP BY et_time
HAVING countIf(b.ticker = 'VOO') > 0
AND countIf(b.ticker = 'QQQ') > 0
ORDER BY et_time
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.