STRASMORE/EXPLORE 2,549 QUERIES

fora_do_pregao

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 b3-after-market-vs-us-after-hours.

as of ranking 6×4read in context →
fora_do_pregao — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerpct_pre_mercadopct_after_hourspct_fora_do_pregao
SPY2.5813.2415.82
NVDA4.036.9110.93
MSFT3.776.2610.03
AAPL3.385.18.49
KO0.765.496.26
TSLA2.652.194.84
Rows × columns
6 × 4
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for fora_do_pregao, derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (AAPL, KO, MSFT…)
pct_pre_mercado number 0.76 to 4.03 percent
pct_after_hours number 2.19 to 13.24 percent
pct_fora_do_pregao number 4.84 to 15.82 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.

SELECT
    ticker,
    round(100 * sumIf(volume, et_min <  570) / sum(volume), 2)                     AS pct_pre_mercado,
    round(100 * sumIf(volume, et_min >= 960) / sum(volume), 2)                     AS pct_after_hours,
    round(100 * sumIf(volume, et_min < 570 OR et_min >= 960) / sum(volume), 2)     AS pct_fora_do_pregao
FROM
(
    SELECT
        ticker,
        volume,
        toHour(toTimeZone(window_start, 'America/New_York')) * 60
            + toMinute(toTimeZone(window_start, 'America/New_York')) AS et_min
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'TSLA', 'SPY', 'KO')
      AND window_start >= today() - 45
      AND window_start <  today() - 2
)
GROUP BY ticker
ORDER BY pct_fora_do_pregao DESC
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