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Quote message rate by symbol, 10:00 to 11:00 a.m. ET on Jun 16, 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 2026-08-08, from Professional vs Non-Professional Market Data.

as of ranking 5×3read in context →
Quote message rate by symbol, 10:00 to 11:00 a.m. ET on Jun 16, 2026 — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
tickermessages_per_secondmessages_in_the_hour
SPY2871.03 million
NVDA183658.34 thousand
AAPL59213.96 thousand
KO34122.78 thousand
MSFT2382.10 thousand
Rows × columns
5 × 3
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 Quote message rate by symbol, 10:00 to 11:00 a.m. ET on Jun 16, 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, KO, MSFT…)
messages_per_second number 23 to 287
messages_in_the_hour text 5 distinct values

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
    ticker,
    toUInt32(round(count() / 3600)) AS messages_per_second,
    formatReadableQuantity(count()) AS messages_in_the_hour
FROM global_markets.cache_stocks_quotes
WHERE ticker IN ('AAPL', 'KO', 'MSFT', 'NVDA', 'SPY')
  AND sip_timestamp >= toDateTime('2026-06-16 14:00:00', 'UTC')
  AND sip_timestamp <  toDateTime('2026-06-16 15:00:00', 'UTC')
GROUP BY ticker
ORDER BY count() DESC
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