{"slug":"how-pre-ipo-shares-trade","qid":"dxyz_2026_weekly","label":"dxyz_2026_weekly","post_title":"how-pre-ipo-shares-trade","post_url":"/blog/how-pre-ipo-shares-trade#q-dxyz_2026_weekly","columns":["week","week_close","week_high","week_low","volume_millions"],"rows":[{"week":"2026-03-30","week_close":28.45,"week_high":29.88,"week_low":26,"volume_millions":12.44},{"week":"2026-04-06","week_close":28,"week_high":29.19,"week_low":26.75,"volume_millions":7.35},{"week":"2026-04-13","week_close":30,"week_high":30.62,"week_low":27.96,"volume_millions":9.14},{"week":"2026-04-20","week_close":29.44,"week_high":30.41,"week_low":28.43,"volume_millions":6.92},{"week":"2026-04-27","week_close":34.71,"week_high":34.95,"week_low":28.62,"volume_millions":8.16},{"week":"2026-05-04","week_close":54.6,"week_high":55,"week_low":34.93,"volume_millions":20.79},{"week":"2026-05-11","week_close":47.62,"week_high":71.24,"week_low":42.5,"volume_millions":44.36},{"week":"2026-05-18","week_close":66.64,"week_high":70.7,"week_low":46.56,"volume_millions":35.4},{"week":"2026-05-25","week_close":52.5,"week_high":72.87,"week_low":49.26,"volume_millions":30.74},{"week":"2026-06-01","week_close":41.79,"week_high":52.65,"week_low":39.15,"volume_millions":29.61},{"week":"2026-06-08","week_close":28.97,"week_high":42.9,"week_low":28.66,"volume_millions":41.24},{"week":"2026-06-15","week_close":27.8,"week_high":30.37,"week_low":26.4,"volume_millions":20.78},{"week":"2026-06-22","week_close":25.2,"week_high":28.27,"week_low":23.8,"volume_millions":11.75},{"week":"2026-06-29","week_close":24.84,"week_high":26.39,"week_low":23.6,"volume_millions":4.36},{"week":"2026-07-06","week_close":27.67,"week_high":29.16,"week_low":23.98,"volume_millions":5.07},{"week":"2026-07-13","week_close":25.97,"week_high":28.3,"week_low":25.12,"volume_millions":4.86},{"week":"2026-07-20","week_close":23.3,"week_high":26.18,"week_low":22.18,"volume_millions":5.04},{"week":"2026-07-27","week_close":22.89,"week_high":23.59,"week_low":20.85,"volume_millions":5.76},{"week":"2026-08-03","week_close":25.89,"week_high":26.15,"week_low":22.5,"volume_millions":4.34},{"week":"2026-08-10","week_close":32,"week_high":33.38,"week_low":26,"volume_millions":9.19},{"week":"2026-08-17","week_close":34.43,"week_high":34.89,"week_low":31.15,"volume_millions":7.39},{"week":"2026-08-24","week_close":34.74,"week_high":36.08,"week_low":31.55,"volume_millions":5.65},{"week":"2026-08-31","week_close":32.7,"week_high":33.19,"week_low":30.19,"volume_millions":4.92},{"week":"2026-09-07","week_close":32.11,"week_high":34.5,"week_low":31.2,"volume_millions":3.48},{"week":"2026-09-14","week_close":31.31,"week_high":32.1,"week_low":30.1,"volume_millions":3.86}],"shape":"series","sql":"SELECT\n    toString(toStartOfWeek(toDate(date), 1))    AS week,\n    round(argMax(toFloat64(close), date), 2)    AS week_close,\n    round(max(toFloat64(high)), 2)              AS week_high,\n    round(min(toFloat64(low)), 2)               AS week_low,\n    round(sum(toFloat64(volume)) / 1e6, 2)      AS volume_millions\nFROM global_markets.stocks_daily_aggs\nWHERE ticker = 'DXYZ'\n  AND date >= '2026-03-30'\nGROUP BY week\nORDER BY week","computed_at":"2026-09-20T15:26:09.557808+00:00","elapsed":0.002251941}