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Top 6 by dollars traded, top 4 by shares traded: July 29 regular hours

Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-08-01, from Market Recap: July 29, 2026, The Day in Numbers.

as of table 10×5read in context →
Top 6 by dollars traded, top 4 by shares traded: July 29 regular hours — 10 rows by 5 columns, computed from US exchange, SIP and OPRA data.
leaderboardtickerdollar_volume_bnshares_mimplied_avg_price
by dollars tradedMU44.9957.8778.37
by dollars tradedSPY42.2957.6734.2
by dollars tradedQQQ32.4548.5669.07
by dollars tradedNVDA22.26115.6192.56
by dollars tradedSNDK22.02211048.57
by dollars tradedAAPL13.9941341.22
by shares tradedSNXX1.27173.47.32
by shares tradedSOFI2.64172.915.27
by shares tradedGSUN0.05168.40.3
by shares tradedBITO1.19136.78.71
Rows × columns
10 × 5
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for Top 6 by dollars traded, top 4 by shares traded: July 29 regular hours, derived from the stored result.
ColumnTypeRangeNotes
leaderboard text 2 distinct values (by dollars traded, by shares traded)
ticker text 10 distinct values (AAPL, BITO, GSUN…)
dollar_volume_bn number 0.05 to 44.99 count
shares_m number 21 to 173.4 count
implied_avg_price number 0.3 to 1,048.57 US dollars

Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.

the exact SQL behind every number 
SELECT leaderboard, ticker, dollar_volume_bn, shares_m,
    round(1000 * dollar_volume_bn / shares_m, 2) AS implied_avg_price
FROM (
    SELECT
        'by dollars traded' AS leaderboard,
        ticker,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 2) AS dollar_volume_bn,
        round(sum(toFloat64(volume)) / 1e6, 1) AS shares_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= '2026-07-29 13:30:00' AND window_start < '2026-07-29 20:00:00'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
    ORDER BY dollar_volume_bn DESC
    LIMIT 6
    UNION ALL
    SELECT
        'by shares traded' AS leaderboard,
        ticker,
        round(sum(toFloat64(close) * toFloat64(volume)) / 1e9, 2) AS dollar_volume_bn,
        round(sum(toFloat64(volume)) / 1e6, 1) AS shares_m
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE window_start >= '2026-07-29 13:30:00' AND window_start < '2026-07-29 20:00:00'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
    ORDER BY shares_m DESC
    LIMIT 4
)
ORDER BY leaderboard, if(leaderboard = 'by shares traded', shares_m, dollar_volume_bn) DESC

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More from this analysisMarket Recap: July 29, 2026, The Day in Numbers
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