STRASMORE/EXPLORE 3,256 QUERIES

Eight mega-caps: change vs July 27 and regular-hours dollars, July 28

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 28, 2026, The Day in Numbers.

as of table 8×5read in context →
Eight mega-caps: change vs July 27 and regular-hours dollars, July 28 — 8 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tickerprior_closeday_closepct_chgday_dollar_bn
AAPL336.92340.20.9713.19
AMZN231.36230.94-0.187.09
AVGO383.35380.74-0.685.71
GOOGL326.56333.732.27.51
META593.93593.66-0.055.25
MSFT389.13393.471.1210.41
NVDA196.52196.980.2321.11
TSLA309.24307.48-0.5710.38
Rows × columns
8 × 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 Eight mega-caps: change vs July 27 and regular-hours dollars, July 28, derived from the stored result.
ColumnTypeRangeNotes
ticker text 8 distinct values (AAPL, AMZN, AVGO…)
prior_close number 196.52 to 593.93 US dollars
day_close number 196.98 to 593.66 US dollars
pct_chg number -0.68 to 2.2 percent
day_dollar_bn number 5.25 to 21.11

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.

Run it yourself

This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.

WITH per_name AS (
    SELECT
        ticker,
        toFloat64(argMaxIf(close, window_start, window_start < '2026-07-28 00:00:00')) AS prior_close,
        toFloat64(argMaxIf(close, window_start, window_start >= '2026-07-28 00:00:00')) AS day_close,
        round(sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-28 00:00:00') / 1e9, 2) AS day_dollar_bn
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('AAPL', 'AMZN', 'AVGO', 'GOOGL', 'META', 'MSFT', 'NVDA', 'TSLA')
      AND ((window_start >= '2026-07-27 13:30:00' AND window_start < '2026-07-27 20:00:00')
        OR (window_start >= '2026-07-28 13:30:00' AND window_start < '2026-07-28 20:00:00'))
    GROUP BY ticker
)
SELECT
    ticker,
    round(prior_close, 2) AS prior_close,
    round(day_close, 2) AS day_close,
    round((day_close / prior_close - 1) * 100, 2) AS pct_chg,
    day_dollar_bn
FROM per_name
ORDER BY ticker
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisMarket Recap: July 28, 2026, The Day in Numbers
Top 6 by dollars traded, top 4 by shares traded: July 28 regular hours table 10×5 → Seven names: RTH median quoted spread in basis points, with quote-quality counts, July 28 table 7×5 → SPY / QQQ / DIA / IWM: July 28 vs the July 27 close, regular hours table 4×10 → Biggest gainers and decliners: July 28 close vs July 27 close, $5M+ traded, splits excluded ranking 16×4 → Sector ETFs, July 28 close vs July 27 close, ranked ranking 11×3 → Treasury curve prints on file, July 23 through July 28 series 4×5 → See all 3,256 queries →