{"slug":"b3-after-market-vs-us-after-hours","qid":"volume_por_hora","label":"volume_por_hora","post_title":"b3-after-market-vs-us-after-hours","post_url":"/blog/lang/pt/b3-after-market-vs-us-after-hours#q-volume_por_hora","columns":["hora_nova_york","hora_brasilia","pct_do_volume"],"rows":[{"hora_nova_york":"04:00","hora_brasilia":"05:00","pct_do_volume":0.48},{"hora_nova_york":"05:00","hora_brasilia":"06:00","pct_do_volume":0.17},{"hora_nova_york":"06:00","hora_brasilia":"07:00","pct_do_volume":0.18},{"hora_nova_york":"07:00","hora_brasilia":"08:00","pct_do_volume":0.7},{"hora_nova_york":"08:00","hora_brasilia":"09:00","pct_do_volume":1.19},{"hora_nova_york":"09:00","hora_brasilia":"10:00","pct_do_volume":16},{"hora_nova_york":"10:00","hora_brasilia":"11:00","pct_do_volume":16.17},{"hora_nova_york":"11:00","hora_brasilia":"12:00","pct_do_volume":12.11},{"hora_nova_york":"12:00","hora_brasilia":"13:00","pct_do_volume":9.33},{"hora_nova_york":"13:00","hora_brasilia":"14:00","pct_do_volume":8.21},{"hora_nova_york":"14:00","hora_brasilia":"15:00","pct_do_volume":9.13},{"hora_nova_york":"15:00","hora_brasilia":"16:00","pct_do_volume":18.64},{"hora_nova_york":"16:00","hora_brasilia":"17:00","pct_do_volume":6.03},{"hora_nova_york":"17:00","hora_brasilia":"18:00","pct_do_volume":1.26},{"hora_nova_york":"18:00","hora_brasilia":"19:00","pct_do_volume":0.23},{"hora_nova_york":"19:00","hora_brasilia":"20:00","pct_do_volume":0.18}],"shape":"ranking","sql":"SELECT\n    hora_nova_york,\n    hora_brasilia,\n    round(100 * volume_total / sum(volume_total) OVER (), 2) AS pct_do_volume\nFROM\n(\n    SELECT\n        concat(leftPad(toString(toHour(toTimeZone(window_start, 'America/New_York'))), 2, '0'), ':00') AS hora_nova_york,\n        argMax(\n            concat(leftPad(toString(toHour(toTimeZone(window_start, 'America/Sao_Paulo'))), 2, '0'), ':00'),\n            window_start\n        )                                                                                              AS hora_brasilia,\n        sum(volume)                                                                                    AS volume_total\n    FROM global_markets.delayed_stocks_minute_aggs\n    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'SPY', 'KO')\n      AND window_start >= today() - 45\n      AND window_start <  today() - 2\n      AND toHour(toTimeZone(window_start, 'America/New_York')) BETWEEN 4 AND 19\n    GROUP BY hora_nova_york\n)\nORDER BY hora_nova_york","computed_at":"2026-09-24T15:10:22.668097+00:00","elapsed":0.298151874}