orasan_ng_pht
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 2026-09-23, from us-stock-market-hours-philippine-time.
| month | open_pht | lead_oras_pht | sessions |
|---|---|---|---|
| 2025-08 | 21:30 | 12 | 21 |
| 2025-09 | 21:30 | 12 | 21 |
| 2025-10 | 21:30 | 12 | 23 |
| 2025-11 | 22:30 | 13 | 19 |
| 2025-12 | 22:30 | 13 | 22 |
| 2026-01 | 22:30 | 13 | 20 |
| 2026-02 | 22:30 | 13 | 19 |
| 2026-03 | 22:30 | 12.23 | 22 |
| 2026-04 | 21:30 | 12 | 21 |
| 2026-05 | 21:30 | 12 | 20 |
| 2026-06 | 21:30 | 12 | 21 |
| 2026-07 | 21:30 | 12 | 22 |
| 2026-08 | 21:30 | 12 | 21 |
| 2026-09 | 21:30 | 12 | 13 |
- Rows × columns
- 14 × 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 |
|---|---|---|---|
month |
text | 14 distinct values (2025-08, 2025-09, 2025-10…) | |
open_pht |
text | 2 distinct values (21:30, 22:30) | |
lead_oras_pht |
number | 12 to 13 | |
sessions |
number | 13 to 23 |
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.
SELECT
formatDateTime(toStartOfMonth(session_date), '%Y-%m') AS month,
max(open_pht) AS open_pht,
round(avg(lead_minutes) / 60, 2) AS lead_oras_pht,
countDistinct(session_date) AS sessions
FROM
(
SELECT
toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
formatDateTime(toTimeZone(window_start, 'Asia/Manila'), '%H:%i') AS open_pht,
(toHour(toTimeZone(window_start, 'Asia/Manila')) * 60
+ toMinute(toTimeZone(window_start, 'Asia/Manila')))
- (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) AS lead_minutes
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker = 'SPY'
AND window_start >= toStartOfMonth(today() - 400)
AND window_start < today() - 2
AND toHour(toTimeZone(window_start, 'America/New_York')) = 9
AND toMinute(toTimeZone(window_start, 'America/New_York')) = 30
)
GROUP BY month
ORDER BY month
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