{"slug":"block-trade-discounts-and-bought-deals","qid":"block_days","label":"A hypothetical $250 million sale against each name's daily dollar volume","post_title":"Block Trade Discounts and Bought Deals","post_url":"/blog/block-trade-discounts-and-bought-deals#q-block_days","columns":["ticker","daily_dollar_volume_millions","block_share_pct"],"rows":[{"ticker":"NVDA","daily_dollar_volume_millions":29248.5,"block_share_pct":0.9},{"ticker":"AAPL","daily_dollar_volume_millions":16825.3,"block_share_pct":1.5},{"ticker":"MSFT","daily_dollar_volume_millions":15950.6,"block_share_pct":1.6},{"ticker":"WMT","daily_dollar_volume_millions":2794.3,"block_share_pct":8.9},{"ticker":"KO","daily_dollar_volume_millions":1467.6,"block_share_pct":17},{"ticker":"PG","daily_dollar_volume_millions":1343.1,"block_share_pct":18.6},{"ticker":"F","daily_dollar_volume_millions":731.9,"block_share_pct":34.2}],"shape":"ranking","sql":"SELECT\n    ticker,\n    round(avg(toFloat64(close) * volume) / 1e6, 1)         AS daily_dollar_volume_millions,\n    round(100 * 250e6 / avg(toFloat64(close) * volume), 1) AS block_share_pct\nFROM\n(\n    SELECT\n        ticker,\n        date,\n        max(close)  AS close,\n        max(volume) AS volume\n    FROM global_markets.stocks_daily_aggs\n    WHERE ticker IN ('NVDA', 'AAPL', 'MSFT', 'WMT', 'PG', 'KO', 'F')\n      AND date >= '2026-06-01'\n      AND date <  '2026-09-01'\n    GROUP BY ticker, date\n)\nGROUP BY ticker\nORDER BY block_share_pct ASC","computed_at":"2026-10-05T15:49:02.058154+00:00","elapsed":0.002681205}