STRASMORE/EXPLORE 2,170 QUERIES

The window and the screened universe behind every board on this page

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 2026-08-25, from Biggest Stock Movers This Month.

as of scalar 1×5read in context →
first session date
Jul 22
last session date
Aug 19
sessions
21
companies on file
4,081
companies screened
1,147
Rows × columns
1 × 5
Period covered
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 The window and the screened universe behind every board on this page, derived from the stored result.
ColumnTypeRangeNotes
first_session_date date Jul 22
last_session_date date Aug 19
sessions number every row is 21
companies_on_file number every row is 4,081
companies_screened number every row is 1,147

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 
WITH window_days AS (
    SELECT d
    FROM (
        SELECT d, max(d) OVER () AS last_full
        FROM (
            SELECT d
            FROM (
                SELECT d, bars, medianExact(bars) OVER () AS typical_bars
                FROM (
                    SELECT toDate(toTimeZone(window_start, 'America/New_York')) AS d, count() AS bars
                    FROM global_markets.delayed_stocks_minute_aggs
                    WHERE window_start >= now() - INTERVAL 34 DAY
                      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
                      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
                    GROUP BY d
                    HAVING d < toDate(toTimeZone(now(), 'America/New_York'))
                )
            )
            WHERE bars >= 0.85 * typical_bars
        )
    )
    WHERE d > last_full - 30
),
screened AS (
    SELECT ticker
    FROM (
        SELECT ticker,
               toDate(toTimeZone(window_start, 'America/New_York')) AS d,
               argMin(toFloat64(open), window_start) AS o,
               sum(toFloat64(close) * toFloat64(volume)) AS dollars
        FROM global_markets.delayed_stocks_minute_aggs
        WHERE window_start >= now() - INTERVAL 34 DAY
          AND toDate(toTimeZone(window_start, 'America/New_York')) IN (SELECT d FROM window_days)
          AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) >= 570
          AND toHour(toTimeZone(window_start, 'America/New_York')) * 60 + toMinute(toTimeZone(window_start, 'America/New_York')) < 960
          AND ticker NOT IN ('SPCX')
          AND ticker NOT IN ('KORU','SOXL','SOXS','TQQQ','SQQQ','NVDL','NVDS','NVD','TSLL','TSLQ','TSLZ','SPXL','SPXS','UPRO','SPXU','LABU','LABD','FAS','FAZ','TNA','TZA','YINN','YANG','UDOW','SDOW','BOIL','KOLD','UCO','SCO','USD','SSO','SDS','QLD','QID','ERX','ERY','DRN','DRV','CURE','SOXY','MUU','SNXX','UVXY','SVXY','UVIX','SVIX','BULZ','WEBL','WEBS','DPST','DRIP','GUSH','AGQ','ZSL','BITX','ETHU','MSTX','MSTU','CONL','DUST','JNUG','JDST','NUGT')
          AND ticker IN (SELECT ticker FROM global_markets.stocks_ratios
                         WHERE market_cap > 0)
          AND ticker NOT IN (SELECT ticker FROM global_markets.stocks_splits
                             WHERE execution_date BETWEEN today() - 45 AND today())
        GROUP BY ticker, d
    )
    GROUP BY ticker
    HAVING sum(dollars) >= 1000000000 AND argMin(o, d) >= 10 AND count() >= 15
)
SELECT formatDateTime(w.first_d, '%b %e') AS first_session_date,
       formatDateTime(w.last_d, '%b %e') AS last_session_date,
       w.n AS sessions,
       (SELECT count() FROM global_markets.stocks_ratios WHERE market_cap > 0) AS companies_on_file,
       (SELECT count() FROM screened) AS companies_screened
FROM (SELECT min(d) AS first_d, max(d) AS last_d, count() AS n FROM window_days) AS w

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