intraday_profile
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 us-stock-market-hours-german-time.
| et_time | german_time | avg_volume_millions | avg_range_pct |
|---|---|---|---|
| 09:00 | 15:00 | 0.23 | 0.019 |
| 09:30 | 15:30 | 4.06 | 0.055 |
| 10:00 | 16:00 | 2.94 | 0.044 |
| 10:30 | 16:30 | 2.51 | 0.039 |
| 11:00 | 17:00 | 2.66 | 0.035 |
| 11:30 | 17:30 | 2.03 | 0.032 |
| 12:00 | 18:00 | 1.84 | 0.028 |
| 12:30 | 18:30 | 1.61 | 0.026 |
| 13:00 | 19:00 | 1.65 | 0.025 |
| 13:30 | 19:30 | 1.46 | 0.022 |
| 14:00 | 20:00 | 1.88 | 0.025 |
| 14:30 | 20:30 | 2.28 | 0.025 |
| 15:00 | 21:00 | 2.64 | 0.026 |
| 15:30 | 21:30 | 7.7 | 0.032 |
| 16:00 | 22:00 | 5.06 | 0.021 |
| 16:30 | 22:30 | 0.29 | 0.01 |
- Rows × columns
- 16 × 4
- 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 | 16 distinct values (09:00, 09:30, 10:00…) | |
german_time |
text | 16 distinct values (15:00, 15:30, 16:00…) | |
avg_volume_millions |
number | 0.23 to 7.7 | count |
avg_range_pct |
number | 0.01 to 0.055 | 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
(
SELECT toHour(toTimeZone(toDateTime(concat(toString(max(date)), ' 12:00:00'), 'America/New_York'), 'Europe/Berlin')) - 12
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'SPY'
) AS german_offset_hours
SELECT
formatDateTime(toDateTime(bucket_min * 60, 'UTC'), '%H:%i') AS et_time,
formatDateTime(toDateTime(((bucket_min + german_offset_hours * 60) % 1440) * 60, 'UTC'), '%H:%i') AS german_time,
round(sum(volume) / countDistinct(session_date) / 1e6, 2) AS avg_volume_millions,
round(avg(bar_range_pct), 3) AS avg_range_pct
FROM
(
SELECT
toDate(et) AS session_date,
intDiv(toHour(et) * 60 + toMinute(et), 30) * 30 AS bucket_min,
volume,
toFloat64(high - low) / toFloat64(close) * 100 AS bar_range_pct
FROM
(
SELECT
toTimeZone(window_start, 'America/New_York') AS et,
volume,
high,
low,
close
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= today() - 60
AND window_start < today() - 1
)
WHERE (toHour(et) * 60 + toMinute(et)) >= 540
AND (toHour(et) * 60 + toMinute(et)) < 1020
)
GROUP BY bucket_min
ORDER BY bucket_min
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