thai_clock_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 2026-10-09, from us-premarket-and-after-hours-thai-time.
| ict_clock | et_clock | aapl_share_pct | etsy_share_pct |
|---|---|---|---|
| 15:00 | 04:00 | 0.237 | 0.014 |
| 15:30 | 04:30 | 0.056 | 0.001 |
| 16:00 | 05:00 | 0.048 | 0.001 |
| 16:30 | 05:30 | 0.05 | 0.003 |
| 17:00 | 06:00 | 0.049 | 0.021 |
| 17:30 | 06:30 | 0.082 | 0.006 |
| 18:00 | 07:00 | 0.16 | 0.011 |
| 18:30 | 07:30 | 0.162 | 0.009 |
| 19:00 | 08:00 | 0.24 | 0.012 |
| 19:30 | 08:30 | 0.28 | 0.036 |
| 20:00 | 09:00 | 0.524 | 0.056 |
| 03:00 | 16:00 | 3.612 | 1.963 |
| 03:30 | 16:30 | 0.331 | 0.001 |
| 04:00 | 17:00 | 0.173 | 0.004 |
| 04:30 | 17:30 | 0.159 | 0.002 |
| 05:00 | 18:00 | 0.059 | 0.001 |
| 05:30 | 18:30 | 0.052 | 0 |
| 06:00 | 19:00 | 0.038 | 0 |
| 06:30 | 19:30 | 0.064 | 0.002 |
- Rows × columns
- 19 × 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 |
|---|---|---|---|
ict_clock |
text | 19 distinct values (03:00, 03:30, 04:00…) | |
et_clock |
text | 19 distinct values (04:00, 04:30, 05:00…) | |
aapl_share_pct |
number | 0.038 to 3.612 | percent |
etsy_share_pct |
number | 0 to 1.963 | 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,
toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York')) AS et_minute,
formatDateTime(toStartOfInterval(toTimeZone(window_start, 'Asia/Bangkok'), INTERVAL 30 MINUTE), '%H:%i') AS ict_clock,
formatDateTime(toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 30 MINUTE), '%H:%i') AS et_bucket,
toFloat64(volume) AS vol
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('AAPL', 'ETSY')
AND window_start >= '2026-09-01 00:00:00'
AND window_start < '2026-10-01 00:00:00'
),
day_totals AS
(
SELECT
sumIf(vol, ticker = 'AAPL') AS aapl_day,
sumIf(vol, ticker = 'ETSY') AS etsy_day
FROM bars
WHERE et_minute >= 240 AND et_minute < 1200
)
SELECT
ict_clock,
any(et_bucket) AS et_clock,
round(100 * sumIf(vol, ticker = 'AAPL') / any(aapl_day), 3) AS aapl_share_pct,
round(100 * sumIf(vol, ticker = 'ETSY') / any(etsy_day), 3) AS etsy_share_pct
FROM bars
CROSS JOIN day_totals
WHERE (et_minute >= 240 AND et_minute < 570)
OR (et_minute >= 960 AND et_minute < 1200)
GROUP BY ict_clock
ORDER BY min(et_minute)
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