{"slug":"professional-vs-non-professional-market-data","qid":"feed_load","label":"Quote message rate by symbol, 10:00 to 11:00 a.m. ET on Jun 16, 2026","post_title":"Professional vs Non-Professional Market Data","post_url":"/blog/professional-vs-non-professional-market-data#q-feed_load","columns":["ticker","messages_per_second","messages_in_the_hour"],"rows":[{"ticker":"SPY","messages_per_second":287,"messages_in_the_hour":"1.03 million"},{"ticker":"NVDA","messages_per_second":183,"messages_in_the_hour":"658.34 thousand"},{"ticker":"AAPL","messages_per_second":59,"messages_in_the_hour":"213.96 thousand"},{"ticker":"KO","messages_per_second":34,"messages_in_the_hour":"122.78 thousand"},{"ticker":"MSFT","messages_per_second":23,"messages_in_the_hour":"82.10 thousand"}],"shape":"ranking","sql":"SELECT\n    ticker,\n    toUInt32(round(count() / 3600)) AS messages_per_second,\n    formatReadableQuantity(count()) AS messages_in_the_hour\nFROM global_markets.cache_stocks_quotes\nWHERE ticker IN ('AAPL', 'KO', 'MSFT', 'NVDA', 'SPY')\n  AND sip_timestamp >= toDateTime('2026-06-16 14:00:00', 'UTC')\n  AND sip_timestamp <  toDateTime('2026-06-16 15:00:00', 'UTC')\nGROUP BY ticker\nORDER BY count() DESC","computed_at":"2026-08-08T15:12:13.569443+00:00","elapsed":0.001996119}