ict_hour_volume
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 2026-09-24, from us-stock-market-hours-thai-time.
| ict_time | avg_volume_millions |
|---|---|
| 15:00 | 0.12 |
| 16:00 | 0.04 |
| 17:00 | 0.05 |
| 18:00 | 0.2 |
| 19:00 | 0.25 |
| 20:00 | 6.57 |
| 21:00 | 6.38 |
| 22:00 | 4.97 |
| 23:00 | 4.04 |
| 00:00 | 3.52 |
| 01:00 | 3.82 |
| 02:00 | 8.06 |
| 03:00 | 1.96 |
| 04:00 | 0.25 |
| 05:00 | 0.07 |
| 06:00 | 0.05 |
- Rows × columns
- 16 × 2
- 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 |
|---|---|---|---|
ict_time |
text | 16 distinct values (00:00, 01:00, 02:00…) | |
avg_volume_millions |
number | 0.04 to 8.06 | 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.
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
toHour(toTimeZone(window_start, 'Asia/Bangkok')) AS ict_hour,
formatDateTime(toStartOfHour(toTimeZone(window_start, 'Asia/Bangkok')), '%H:00') AS ict_time,
toDate(toTimeZone(window_start, 'America/New_York')) AS us_session_date,
volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'AAPL'
AND window_start >= today() - 100
AND window_start < today() - 2
)
SELECT
ict_time,
round(sum(volume) / countDistinct(us_session_date) / 1e6, 2) AS avg_volume_millions
FROM bars
GROUP BY ict_hour, ict_time
ORDER BY (ict_hour + 9) % 24
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