The 15 minute gap across six household tickers (June 2026)
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 2026-08-06, from Why Stock Quotes Are Delayed 15 Minutes.
| ticker | median_gap_pct | p99_gap_pct |
|---|---|---|
| AMD | 0.361 | 2.532 |
| NVDA | 0.198 | 1.254 |
| MSFT | 0.157 | 1.008 |
| AAPL | 0.147 | 0.982 |
| KO | 0.108 | 0.669 |
| SPY | 0.071 | 0.593 |
- 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 |
|---|---|---|---|
ticker |
text | 6 distinct values (AAPL, AMD, KO…) | |
median_gap_pct |
number | 0.071 to 0.361 | percent |
p99_gap_pct |
number | 0.593 to 2.532 | 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_bars AS
(
SELECT
ticker,
toTimeZone(window_start, 'America/New_York') AS et,
toTimeZone(window_start, 'America/New_York') + INTERVAL 15 MINUTE AS et_later,
toFloat64(close) AS px
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN ('SPY', 'KO', 'AAPL', 'MSFT', 'NVDA', 'AMD')
AND close > 0
AND window_start >= '2026-06-01 00:00:00'
AND window_start < '2026-07-01 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
)
SELECT
a.ticker AS ticker,
round(quantileDeterministic(0.5)(abs(b.px / a.px - 1) * 100, toUInt64(toUnixTimestamp(a.et))), 3) AS median_gap_pct,
round(quantileDeterministic(0.99)(abs(b.px / a.px - 1) * 100, toUInt64(toUnixTimestamp(a.et))), 3) AS p99_gap_pct
FROM regular_bars AS a
INNER JOIN regular_bars AS b ON b.ticker = a.ticker AND b.et = a.et_later
GROUP BY ticker
ORDER BY median_gap_pct DESC