sessoes_brt
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 2026-11-01, from us-stock-market-hours-brasilia-time.
| sessao | nova_york_et | brasilia_verao_eua | brasilia_padrao_eua |
|---|---|---|---|
| Pré-mercado | 04:00 às 09:30 | 05:00 às 10:30 | 06:00 às 11:30 |
| Pregão regular | 09:30 às 16:00 | 10:30 às 17:00 | 11:30 às 18:00 |
| After-hours | 16:00 às 20:00 | 17:00 às 21:00 | 18:00 às 22:00 |
| Pregão encurtado (véspera de feriado) | 09:30 às 13:00 | 10:30 às 14:00 | 11:30 às 15:00 |
- Rows × columns
- 4 × 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 |
|---|---|---|---|
sessao |
text | 4 distinct values | |
nova_york_et |
text | 4 distinct values | |
brasilia_verao_eua |
text | 4 distinct values | |
brasilia_padrao_eua |
text | 4 distinct values |
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
tupleElement(bloco, 2) AS sessao,
concat(tupleElement(bloco, 3), ' às ', tupleElement(bloco, 4)) AS nova_york_et,
concat(
formatDateTime(toDateTime(concat('2026-06-16 ', tupleElement(bloco, 3), ':00'), 'America/New_York'), '%H:%i', 'America/Sao_Paulo'),
' às ',
formatDateTime(toDateTime(concat('2026-06-16 ', tupleElement(bloco, 4), ':00'), 'America/New_York'), '%H:%i', 'America/Sao_Paulo')
) AS brasilia_verao_eua,
concat(
formatDateTime(toDateTime(concat('2026-02-10 ', tupleElement(bloco, 3), ':00'), 'America/New_York'), '%H:%i', 'America/Sao_Paulo'),
' às ',
formatDateTime(toDateTime(concat('2026-02-10 ', tupleElement(bloco, 4), ':00'), 'America/New_York'), '%H:%i', 'America/Sao_Paulo')
) AS brasilia_padrao_eua
FROM
(
SELECT arrayJoin([
(1, 'Pré-mercado', '04:00', '09:30'),
(2, 'Pregão regular', '09:30', '16:00'),
(3, 'After-hours', '16:00', '20:00'),
(4, 'Pregão encurtado (véspera de feriado)', '09:30', '13:00')
]) AS bloco
)
ORDER BY tupleElement(bloco, 1)
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.