open_share
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 2026-09-26, from the-10-am-rule-in-stocks.
| symbol | range_share_pct | volume_share_pct |
|---|---|---|
| KO | 62.2 | 14.2 |
| NVDA | 60.3 | 18.4 |
| AAPL | 60.2 | 17.6 |
| MSFT | 59.9 | 17.7 |
| QQQ | 46.1 | 14.1 |
| SPY | 38.8 | 11.3 |
- Rows × columns
- 6 × 3
- 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 |
|---|---|---|---|
symbol |
text | 6 distinct values (AAPL, KO, MSFT…) | |
range_share_pct |
number | 38.8 to 62.2 | percent |
volume_share_pct |
number | 11.3 to 18.4 | 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.
WITH bars AS (
SELECT
ticker,
toDate(toTimeZone(window_start, 'America/New_York')) AS trade_day,
toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York')) AS et_minute,
high,
low,
volume
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'QQQ', 'AAPL', 'MSFT', 'NVDA', 'KO')
AND window_start >= '2023-01-01'
AND window_start < '2026-01-01'
),
regular AS (
SELECT *
FROM bars
WHERE et_minute >= 570 AND et_minute < 960
),
per_day AS (
SELECT
ticker,
trade_day,
max(high) AS day_high,
min(low) AS day_low,
sum(volume) AS day_volume,
maxIf(high, et_minute < 600) AS open_high,
minIf(low, et_minute < 600) AS open_low,
sumIf(volume, et_minute < 600) AS open_volume,
countIf(et_minute < 600) AS open_bars
FROM regular
GROUP BY ticker, trade_day
HAVING open_bars >= 25
AND day_high > day_low
AND day_volume > 0
)
SELECT
ticker AS symbol,
round(avg(100 * toFloat64(open_high - open_low) / toFloat64(day_high - day_low)), 1) AS range_share_pct,
round(avg(100 * toFloat64(open_volume) / toFloat64(day_volume)), 1) AS volume_share_pct
FROM per_day
GROUP BY ticker
ORDER BY range_share_pct DESC
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