{"slug":"nvda-earnings-may-2023-ai-boom","qid":"day_tape","label":"NVDA on May 25, 2023: trading the day after the guidance","post_title":"NVDA's May 2023 Earnings: The AI Gap","post_url":"/blog/nvda-earnings-may-2023-ai-boom#q-day_tape","columns":["prior_close","rth_open","gap_pct","rth_low","low_et","rth_high","high_et","rth_close","day_change_pct","low_vs_prior_pct","day_shares_m","rth_minute_bars"],"rows":[{"prior_close":305.41,"rth_open":385.23,"gap_pct":26.1,"rth_low":366.35,"low_et":"09:38","rth_high":394.8,"high_et":"11:27","rth_close":379.79,"day_change_pct":24.4,"low_vs_prior_pct":20,"day_shares_m":151.4,"rth_minute_bars":390}],"shape":"scalar","sql":"WITH\n    (\n        SELECT argMaxIf(toFloat64(close), window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)\n        FROM global_markets.delayed_stocks_minute_aggs\n        WHERE ticker = 'NVDA'\n          AND window_start >= toDateTime('2023-05-24 00:00:00') AND window_start < toDateTime('2023-05-25 04:00:00')\n    ) AS prior_rth_close\nSELECT\n    round(prior_rth_close, 2) AS prior_close,\n    round(toFloat64(argMinIf(open, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)), 2) AS rth_open,\n    round((toFloat64(argMinIf(open, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)) / prior_rth_close - 1) * 100, 1) AS gap_pct,\n    round(minIf(toFloat64(low), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS rth_low,\n    formatDateTime(toTimeZone(argMinIf(window_start, (toFloat64(low), toInt64(toUnixTimestamp(window_start))), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 'America/New_York'), '%H:%i') AS low_et,\n    round(maxIf(toFloat64(high), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 2) AS rth_high,\n    formatDateTime(toTimeZone(argMaxIf(window_start, (toFloat64(high), -toInt64(toUnixTimestamp(window_start))), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959), 'America/New_York'), '%H:%i') AS high_et,\n    round(toFloat64(argMaxIf(close, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)), 2) AS rth_close,\n    round((toFloat64(argMaxIf(close, window_start, (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959)) / prior_rth_close - 1) * 100, 1) AS day_change_pct,\n    round((minIf(toFloat64(low), (toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) / prior_rth_close - 1) * 100, 1) AS low_vs_prior_pct,\n    round(toFloat64(sum(volume)) / 1e6, 1) AS day_shares_m,\n    countIf((toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959) AS rth_minute_bars\nFROM global_markets.delayed_stocks_minute_aggs\nWHERE ticker = 'NVDA'\n  AND window_start >= toDateTime('2023-05-25 04:00:00') AND window_start < toDateTime('2023-05-25 23:59:00')","computed_at":"2026-07-26T06:09:43.226248+00:00","elapsed":0.078894005}