STRASMORE/EXPLORE 2,433 QUERIES

Stocks NBBO update count: July 30 vs July 29, 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 2026-08-02, from Market Recap: July 30, 2026, The Day in Numbers.

as of scalar 1×6read in context →
jul30 updates m
560.75
jul29 updates m
722.65
day over day pct
-22.4
jul30 spy updates m
5.55
jul30 qqq updates m
6.75
jul30 nvda updates m
2.39
Rows × columns
1 × 6
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for Stocks NBBO update count: July 30 vs July 29, with named-ticker updates (millions), derived from the stored result.
ColumnTypeRangeNotes
jul30_updates_m number every row is 560.75
jul29_updates_m number every row is 722.65
day_over_day_pct number every row is -22.4 percent
jul30_spy_updates_m number every row is 5.55
jul30_qqq_updates_m number every row is 6.75
jul30_nvda_updates_m number every row is 2.39

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.

SELECT
    round(countIf(toDate(sip_timestamp) = toDate('2026-07-30')) / 1e6, 2) AS jul30_updates_m,
    round(countIf(toDate(sip_timestamp) = toDate('2026-07-29')) / 1e6, 2) AS jul29_updates_m,
    round((countIf(toDate(sip_timestamp) = toDate('2026-07-30')) / countIf(toDate(sip_timestamp) = toDate('2026-07-29')) - 1) * 100, 1) AS day_over_day_pct,
    round(countIf(toDate(sip_timestamp) = toDate('2026-07-30') AND ticker = 'SPY') / 1e6, 2) AS jul30_spy_updates_m,
    round(countIf(toDate(sip_timestamp) = toDate('2026-07-30') AND ticker = 'QQQ') / 1e6, 2) AS jul30_qqq_updates_m,
    round(countIf(toDate(sip_timestamp) = toDate('2026-07-30') AND ticker = 'NVDA') / 1e6, 2) AS jul30_nvda_updates_m
FROM global_markets.cache_stocks_quotes
WHERE sip_timestamp >= '2026-07-29 00:00:00' AND sip_timestamp < '2026-07-31 00:00:00'
⌘/Ctrl + Enter
More from this analysisMarket Recap: July 30, 2026, The Day in Numbers
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