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Biggest gainers and decliners: July 30 close vs July 29 close, $5M+ traded, splits excluded

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 30, 2026, The Day in Numbers.

as of ranking 16×4read in context →
Biggest gainers and decliners: July 30 close vs July 29 close, $5M+ traded, splits excluded — 16 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerboardday_pctday_dollar_m
CYCUgainers489.5474.4
GCTKgainers166.6165.5
NUWEgainers134.2325.1
PNgainers117.896.1
DFNSgainers61.1548.4
IREXgainers60.822.9
IREgainers60.494.4
IREGgainers59.210.9
IREZdecliners-61.290.8
NBIZdecliners-53.7170.9
BEZdecliners-52.970.4
SNDQdecliners-51.91006.8
CCBdecliners-43.676.9
CORDdecliners-4359.9
YYAIdecliners-42.15.4
CBRZdecliners-39.66.4
Rows × columns
16 × 4
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 Biggest gainers and decliners: July 30 close vs July 29 close, $5M+ traded, splits excluded, derived from the stored result.
ColumnTypeRangeNotes
ticker text 16 distinct values (BEZ, CBRZ, CCB…)
board text 2 distinct values (decliners, gainers)
day_pct number -61.2 to 489.5 percent
day_dollar_m number 5.4 to 1,006.8

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 ticker, board, day_pct, day_dollar_m
FROM (
    SELECT 'gainers' AS board, ticker, round((c30 / c29 - 1) * 100, 1) AS day_pct, round(dv / 1e6, 1) AS day_dollar_m
    FROM (
        SELECT ticker,
               argMaxIf(toFloat64(close), window_start, window_start >= '2026-07-29 13:30:00' AND window_start < '2026-07-29 20:00:00') AS c29,
               argMaxIf(toFloat64(close), window_start, window_start >= '2026-07-30 13:30:00' AND window_start < '2026-07-30 20:00:00') AS c30,
               sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-30 13:30:00') AS dv
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker NOT IN ('SPCX')
          AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits WHERE execution_date > '2026-07-29' AND execution_date <= '2026-07-30')
          AND window_start >= '2026-07-29 13:30:00' AND window_start < '2026-07-30 20:00:00'
        GROUP BY ticker
        HAVING c29 > 0 AND c30 > 0 AND dv >= 5000000
    )
    ORDER BY day_pct DESC
    LIMIT 8
    UNION ALL
    SELECT 'decliners' AS board, ticker, round((c30 / c29 - 1) * 100, 1) AS day_pct, round(dv / 1e6, 1) AS day_dollar_m
    FROM (
        SELECT ticker,
               argMaxIf(toFloat64(close), window_start, window_start >= '2026-07-29 13:30:00' AND window_start < '2026-07-29 20:00:00') AS c29,
               argMaxIf(toFloat64(close), window_start, window_start >= '2026-07-30 13:30:00' AND window_start < '2026-07-30 20:00:00') AS c30,
               sumIf(toFloat64(close) * toFloat64(volume), window_start >= '2026-07-30 13:30:00') AS dv
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE ticker NOT IN ('SPCX')
          AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits WHERE execution_date > '2026-07-29' AND execution_date <= '2026-07-30')
          AND window_start >= '2026-07-29 13:30:00' AND window_start < '2026-07-30 20:00:00'
        GROUP BY ticker
        HAVING c29 > 0 AND c30 > 0 AND dv >= 5000000
    )
    ORDER BY day_pct ASC
    LIMIT 8
)
ORDER BY board DESC, abs(day_pct) DESC

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