hilo_outside_regular
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 2026-10-08, from dse-last-trade-price-vs-closing-price.
| symbol | high_above_regular_pct | low_below_regular_pct |
|---|---|---|
| JNJ | 1.6 | 1.6 |
| KO | 1.6 | 0 |
| MSFT | 0 | 0 |
| SPY | 0 | 1.6 |
| AAPL | 0 | 0 |
| NVDA | 0 | 0 |
- 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, JNJ, KO…) | |
high_above_regular_pct |
number | 0 to 1.6 | percent |
low_below_regular_pct |
number | 0 to 1.6 | 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
regular AS
(
SELECT
ticker,
toDate(toTimeZone(window_start, 'America/New_York')) AS session_date,
max(high) AS regular_high,
min(low) AS regular_low
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO', 'JNJ')
AND window_start >= '2026-07-01 00:00:00'
AND window_start < '2026-10-01 00:00:00'
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
GROUP BY ticker, session_date
),
daily_bars AS
(
SELECT
ticker,
date AS session_date,
any(high) AS daily_high,
any(low) AS daily_low
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO', 'JNJ')
AND date >= '2026-07-01'
AND date < '2026-10-01'
GROUP BY ticker, session_date
)
SELECT
r.ticker AS symbol,
round(100 * countIf(toFloat64(d.daily_high) > toFloat64(r.regular_high)) / count(), 1) AS high_above_regular_pct,
round(100 * countIf(toFloat64(d.daily_low) < toFloat64(r.regular_low)) / count(), 1) AS low_below_regular_pct
FROM regular AS r
INNER JOIN daily_bars AS d
ON r.ticker = d.ticker AND r.session_date = d.session_date
GROUP BY symbol
ORDER BY high_above_regular_pct DESC
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