liquidity_by_hour
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 2026-09-29, from us-stock-market-hours-uae-time.
| et_hour_label | gst_hour_label | avg_volume_millions | volume_share_pct |
|---|---|---|---|
| 04:00 | 12:00 | 0.1 | 0.23 |
| 05:00 | 13:00 | 0.04 | 0.11 |
| 06:00 | 14:00 | 0.06 | 0.15 |
| 07:00 | 15:00 | 0.19 | 0.46 |
| 08:00 | 16:00 | 0.44 | 1.05 |
| 09:00 | 17:00 | 4.19 | 9.87 |
| 10:00 | 18:00 | 5.3 | 12.49 |
| 11:00 | 19:00 | 4.99 | 11.76 |
| 12:00 | 20:00 | 3.26 | 7.69 |
| 13:00 | 21:00 | 2.99 | 7.05 |
| 14:00 | 22:00 | 4.43 | 10.45 |
| 15:00 | 23:00 | 10.19 | 24.02 |
| 16:00 | 00:00 | 5.7 | 13.44 |
| 17:00 | 01:00 | 0.41 | 0.96 |
| 18:00 | 02:00 | 0.08 | 0.19 |
| 19:00 | 03:00 | 0.04 | 0.1 |
- 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_hour_label |
text | 16 distinct values (04:00, 05:00, 06:00…) | |
gst_hour_label |
text | 16 distinct values (00:00, 01:00, 02:00…) | |
avg_volume_millions |
number | 0.04 to 10.19 | count |
volume_share_pct |
number | 0.1 to 24.02 | 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
toTimeZone(window_start, 'America/New_York') AS et_ts,
toTimeZone(window_start, 'Asia/Dubai') AS gst_ts,
toHour(et_ts) AS et_hour,
toHour(gst_ts) AS gst_hour_of_day,
toDate(et_ts) AS et_date,
toFloat64(volume) AS share_volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toDateTime('2026-09-01 04:00:00', 'UTC')
AND window_start < toDateTime('2026-09-26 04:00:00', 'UTC')
),
hourly AS
(
SELECT
et_hour,
any(gst_hour_of_day) AS gst_hour,
sum(share_volume) AS hour_volume
FROM bars
WHERE et_hour BETWEEN 4 AND 19
GROUP BY et_hour
),
sess AS
(
SELECT countDistinct(et_date) AS n FROM bars
),
totals AS
(
SELECT sum(hour_volume) AS window_volume FROM hourly
)
SELECT
formatDateTime(toDateTime(et_hour * 3600, 'UTC'), '%H:%i') AS et_hour_label,
formatDateTime(toDateTime(gst_hour * 3600, 'UTC'), '%H:%i') AS gst_hour_label,
round(hour_volume / (SELECT n FROM sess) / 1e6, 2) AS avg_volume_millions,
round(100 * hour_volume / (SELECT window_volume FROM totals), 2) AS volume_share_pct
FROM hourly
ORDER BY et_hour
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.