Stocks NBBO update count: July 27 vs July 24, with named-ticker updates (millions)
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 2026-08-01, from Market Recap: July 27, 2026, The Day in Numbers.
jul27 updates m
553.53
jul24 updates m
500.88
session over session pct
10.5
jul27 spy updates m
4.84
jul27 qqq updates m
6.78
jul27 nvda updates m
2.93
- Rows × columns
- 1 × 6
- 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 |
|---|---|---|---|
jul27_updates_m |
number | every row is 553.53 | |
jul24_updates_m |
number | every row is 500.88 | |
session_over_session_pct |
number | every row is 10.5 | percent |
jul27_spy_updates_m |
number | every row is 4.84 | |
jul27_qqq_updates_m |
number | every row is 6.78 | |
jul27_nvda_updates_m |
number | every row is 2.93 |
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
round(countIf(toDate(sip_timestamp) = toDate('2026-07-27')) / 1e6, 2) AS jul27_updates_m,
round(countIf(toDate(sip_timestamp) = toDate('2026-07-24')) / 1e6, 2) AS jul24_updates_m,
round((countIf(toDate(sip_timestamp) = toDate('2026-07-27')) / countIf(toDate(sip_timestamp) = toDate('2026-07-24')) - 1) * 100, 1) AS session_over_session_pct,
round(countIf(toDate(sip_timestamp) = toDate('2026-07-27') AND ticker = 'SPY') / 1e6, 2) AS jul27_spy_updates_m,
round(countIf(toDate(sip_timestamp) = toDate('2026-07-27') AND ticker = 'QQQ') / 1e6, 2) AS jul27_qqq_updates_m,
round(countIf(toDate(sip_timestamp) = toDate('2026-07-27') AND ticker = 'NVDA') / 1e6, 2) AS jul27_nvda_updates_m
FROM global_markets.cache_stocks_quotes
WHERE sip_timestamp >= '2026-07-24 00:00:00' AND sip_timestamp < '2026-07-28 00:00:00'
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