{"slug":"broker-exercise-cutoff-times","qid":"expiry_trace","label":"NVDA on July 17, 2026: the close and the post close window","post_title":"Broker Exercise Cut-Off Times Explained","post_url":"/blog/broker-exercise-cutoff-times#q-expiry_trace","columns":["window_start","last_price","volume"],"rows":[{"window_start":"2026-07-17 15:00:00","last_price":203.09,"volume":752849.127852},{"window_start":"2026-07-17 15:05:00","last_price":202.73,"volume":834397.168228},{"window_start":"2026-07-17 15:10:00","last_price":202.27,"volume":1334989.507006},{"window_start":"2026-07-17 15:15:00","last_price":202.22,"volume":1743111.083038},{"window_start":"2026-07-17 15:20:00","last_price":202.11,"volume":932888.988362},{"window_start":"2026-07-17 15:25:00","last_price":202.96,"volume":1172158.55454},{"window_start":"2026-07-17 15:30:00","last_price":202.96,"volume":1542219.588672},{"window_start":"2026-07-17 15:35:00","last_price":202.6,"volume":1216369.761656},{"window_start":"2026-07-17 15:40:00","last_price":203.05,"volume":1253277.37153},{"window_start":"2026-07-17 15:45:00","last_price":203.4,"volume":1236181.696929},{"window_start":"2026-07-17 15:50:00","last_price":203.51,"volume":1668208.230461},{"window_start":"2026-07-17 15:55:00","last_price":202.64,"volume":4098225.326701},{"window_start":"2026-07-17 16:00:00","last_price":202.37,"volume":678813.652423},{"window_start":"2026-07-17 16:05:00","last_price":202.26,"volume":101879.619959},{"window_start":"2026-07-17 16:10:00","last_price":202.31,"volume":74064.676719},{"window_start":"2026-07-17 16:15:00","last_price":202.45,"volume":28251.109439},{"window_start":"2026-07-17 16:20:00","last_price":202.44,"volume":42204.9941},{"window_start":"2026-07-17 16:25:00","last_price":202.5,"volume":12972.524536},{"window_start":"2026-07-17 16:30:00","last_price":202.52,"volume":19125.168721},{"window_start":"2026-07-17 16:35:00","last_price":202.56,"volume":37619.57491},{"window_start":"2026-07-17 16:40:00","last_price":202.55,"volume":13348.407278},{"window_start":"2026-07-17 16:45:00","last_price":202.51,"volume":50818.548891},{"window_start":"2026-07-17 16:50:00","last_price":202.7,"volume":14233.219145},{"window_start":"2026-07-17 16:55:00","last_price":202.73,"volume":24802.404127},{"window_start":"2026-07-17 17:00:00","last_price":202.77,"volume":15096.657775},{"window_start":"2026-07-17 17:05:00","last_price":202.8,"volume":30467.890378},{"window_start":"2026-07-17 17:10:00","last_price":202.62,"volume":10080.115248},{"window_start":"2026-07-17 17:15:00","last_price":202.65,"volume":8212.012243},{"window_start":"2026-07-17 17:20:00","last_price":202.64,"volume":7284.205245},{"window_start":"2026-07-17 17:25:00","last_price":202.75,"volume":5909.800901}],"shape":"table","sql":"SELECT\n    bucket                               AS window_start,\n    round(argMax(px, ts), 2)             AS last_price,\n    sum(vol)                             AS volume\nFROM\n(\n    SELECT\n        toStartOfInterval(toTimeZone(window_start, 'America/New_York'), INTERVAL 5 MINUTE) AS bucket,\n        window_start     AS ts,\n        toFloat64(close) AS px,\n        volume           AS vol\n    FROM global_markets.delayed_stocks_minute_aggs\n    WHERE ticker = 'NVDA'\n      AND window_start >= toDateTime('2026-07-17 19:00:00', 'UTC')\n      AND window_start <  toDateTime('2026-07-17 21:30:00', 'UTC')\n)\nGROUP BY bucket\nORDER BY bucket","computed_at":"2026-08-22T04:03:40.923294+00:00","elapsed":0.036313985}