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.
| ticker | premarket_pct | after_hours_pct | outside_regular_pct |
|---|---|---|---|
| SPY | 2.89 | 12.37 | 15.26 |
| NVDA | 3.8 | 7.86 | 11.65 |
| MSFT | 4.81 | 4.84 | 9.65 |
| AAPL | 2.74 | 4.48 | 7.22 |
| KO | 0.72 | 5.64 | 6.36 |
| AMZN | 2.48 | 3.21 | 5.7 |
| TSLA | 2.75 | 2.06 | 4.81 |
- Rows × columns
- 7 × 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 |
|---|---|---|---|
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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