{"slug":"dow-jones-nasdaq-share-price-for-indian-investors","qid":"ndx_weights","label":"ndx_weights","post_title":"dow-jones-nasdaq-share-price-for-indian-investors","post_url":"/blog/lang/hi/dow-jones-nasdaq-share-price-for-indian-investors#q-ndx_weights","columns":["ticker","cap_weight_pct","price_weight_pct"],"rows":[{"ticker":"NVDA","cap_weight_pct":17.68,"price_weight_pct":3.08},{"ticker":"AAPL","cap_weight_pct":16.83,"price_weight_pct":4.86},{"ticker":"GOOGL","cap_weight_pct":14.4,"price_weight_pct":4.95},{"ticker":"MSFT","cap_weight_pct":13.5,"price_weight_pct":7.67},{"ticker":"AMZN","cap_weight_pct":9.26,"price_weight_pct":3.61},{"ticker":"META","cap_weight_pct":6.33,"price_weight_pct":10.48},{"ticker":"AVGO","cap_weight_pct":5.54,"price_weight_pct":4.84},{"ticker":"TSLA","cap_weight_pct":4.83,"price_weight_pct":5.29},{"ticker":"AMD","cap_weight_pct":3.09,"price_weight_pct":7.85},{"ticker":"COST","cap_weight_pct":1.46,"price_weight_pct":13.87},{"ticker":"CSCO","cap_weight_pct":1.46,"price_weight_pct":1.55},{"ticker":"NFLX","cap_weight_pct":1.02,"price_weight_pct":1},{"ticker":"TXN","cap_weight_pct":0.86,"price_weight_pct":3.9},{"ticker":"AMGN","cap_weight_pct":0.79,"price_weight_pct":6.15},{"ticker":"QCOM","cap_weight_pct":0.64,"price_weight_pct":2.49},{"ticker":"PEP","cap_weight_pct":0.59,"price_weight_pct":1.83},{"ticker":"TMUS","cap_weight_pct":0.57,"price_weight_pct":2.23},{"ticker":"ISRG","cap_weight_pct":0.51,"price_weight_pct":6.05},{"ticker":"ADBE","cap_weight_pct":0.33,"price_weight_pct":3.59},{"ticker":"INTU","cap_weight_pct":0.3,"price_weight_pct":4.71}],"shape":"ranking","sql":"SELECT\n    ticker,\n    round(100 * mcap / sum(mcap) OVER (), 2)           AS cap_weight_pct,\n    round(100 * close_usd / sum(close_usd) OVER (), 2) AS price_weight_pct\nFROM\n(\n    SELECT\n        d.ticker    AS ticker,\n        d.close_usd AS close_usd,\n        r.mcap      AS mcap\n    FROM\n    (\n        SELECT\n            ticker,\n            round(toFloat64(any(close)), 2) AS close_usd\n        FROM global_markets.stocks_daily_aggs\n        WHERE date = (SELECT max(date) FROM global_markets.stocks_daily_aggs WHERE ticker = 'SPY')\n          AND ticker IN ('AAPL','ADBE','AMD','AMGN','AMZN','AVGO','COST','CSCO','GOOGL','INTU','ISRG','META','MSFT','NFLX','NVDA','PEP','QCOM','TMUS','TSLA','TXN')\n        GROUP BY ticker\n    ) AS d\n    INNER JOIN\n    (\n        SELECT\n            ticker,\n            toFloat64(argMax(market_cap, date)) AS mcap\n        FROM global_markets.stocks_ratios\n        WHERE date >= today() - 60\n          AND ticker IN ('AAPL','ADBE','AMD','AMGN','AMZN','AVGO','COST','CSCO','GOOGL','INTU','ISRG','META','MSFT','NFLX','NVDA','PEP','QCOM','TMUS','TSLA','TXN')\n        GROUP BY ticker\n        HAVING toFloat64(argMax(market_cap, date)) > 0\n    ) AS r\n      ON d.ticker = r.ticker\n)\nORDER BY cap_weight_pct DESC","computed_at":"2026-10-16T15:29:30.017452+00:00","elapsed":0.179077314}