{"slug":"professional-vs-non-professional-market-data","qid":"quote_rate","label":"AAPL quote messages per 15 minutes, pinned session of Jun 16, 2026","post_title":"Professional vs Non-Professional Market Data","post_url":"/blog/professional-vs-non-professional-market-data#q-quote_rate","columns":["et_time","quote_messages"],"rows":[{"et_time":"08:00","quote_messages":171},{"et_time":"08:15","quote_messages":426},{"et_time":"08:30","quote_messages":154},{"et_time":"08:45","quote_messages":210},{"et_time":"09:00","quote_messages":314},{"et_time":"09:15","quote_messages":951},{"et_time":"09:30","quote_messages":67153},{"et_time":"09:45","quote_messages":48415},{"et_time":"10:00","quote_messages":52977},{"et_time":"10:15","quote_messages":61814},{"et_time":"10:30","quote_messages":59267},{"et_time":"10:45","quote_messages":39898},{"et_time":"11:00","quote_messages":37117},{"et_time":"11:15","quote_messages":44813},{"et_time":"11:30","quote_messages":43218},{"et_time":"11:45","quote_messages":58238},{"et_time":"12:00","quote_messages":50132},{"et_time":"12:15","quote_messages":36652},{"et_time":"12:30","quote_messages":42269},{"et_time":"12:45","quote_messages":33724},{"et_time":"13:00","quote_messages":30110},{"et_time":"13:15","quote_messages":31388},{"et_time":"13:30","quote_messages":29549},{"et_time":"13:45","quote_messages":24597},{"et_time":"14:00","quote_messages":23689},{"et_time":"14:15","quote_messages":22354},{"et_time":"14:30","quote_messages":23217},{"et_time":"14:45","quote_messages":20432},{"et_time":"15:00","quote_messages":25888},{"et_time":"15:15","quote_messages":32490},{"et_time":"15:30","quote_messages":29913},{"et_time":"15:45","quote_messages":109192},{"et_time":"16:00","quote_messages":273},{"et_time":"16:15","quote_messages":88},{"et_time":"16:30","quote_messages":90},{"et_time":"16:45","quote_messages":110}],"shape":"series","sql":"SELECT\n    formatDateTime(toStartOfFifteenMinutes(toTimeZone(sip_timestamp, 'America/New_York')), '%H:%i') AS et_time,\n    count() AS quote_messages\nFROM global_markets.cache_stocks_quotes\nWHERE ticker = 'AAPL'\n  AND sip_timestamp >= toDateTime('2026-06-16 12:00:00', 'UTC')\n  AND sip_timestamp <  toDateTime('2026-06-16 21:00:00', 'UTC')\nGROUP BY et_time\nORDER BY et_time","computed_at":"2026-08-08T15:12:13.472648+00:00","elapsed":0.002218656}