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Share of volume printed outside 9:30 to 4:00 ET, seven household names (trailing month)

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 2026-09-14, from US Stocks 23/5 Trading: The December 2026 Plan.

as of ranking 7×4read in context →
Share of volume printed outside 9:30 to 4:00 ET, seven household names (trailing month) — 7 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerpremarket_pctafter_hours_pctoutside_regular_pct
SPY2.8912.3715.26
NVDA3.87.8611.65
MSFT4.814.849.65
AAPL2.744.487.22
KO0.725.646.36
AMZN2.483.215.7
TSLA2.752.064.81
Rows × columns
7 × 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 Share of volume printed outside 9:30 to 4:00 ET, seven household names (trailing month), derived from the stored result.
ColumnTypeRangeNotes
ticker text 7 distinct values (AAPL, AMZN, KO…)
premarket_pct number 0.72 to 4.81 percent
after_hours_pct number 2.06 to 12.37 percent
outside_regular_pct number 4.81 to 15.26 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.

the exact SQL behind every number
SELECT
    ticker,
    round(100 * toFloat64(sumIf(volume, minute_of_day < 570)) / toFloat64(sum(volume)), 2)  AS premarket_pct,
    round(100 * toFloat64(sumIf(volume, minute_of_day >= 960)) / toFloat64(sum(volume)), 2) AS after_hours_pct,
    round(100 * toFloat64(sumIf(volume, minute_of_day < 570 OR minute_of_day >= 960))
              / toFloat64(sum(volume)), 2)                                                 AS outside_regular_pct
FROM
(
    SELECT
        ticker,
        volume,
        toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York')) AS minute_of_day
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'TSLA', 'AMZN', 'KO')
      AND window_start >= today() - 30
      AND window_start <  today() - 2
)
GROUP BY ticker
HAVING sum(volume) > 0
ORDER BY outside_regular_pct DESC

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