STRASMORE/EXPLORE 2,170 QUERIES

July 1's corporate calendar and information flow, in one row

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 2026-07-26, from Market Recap: July 1, 2026, The Day in Numbers.

as of scalar 1×14read in context →
ex dividend records
746
monthly payers
572
quarterly payers
123
monthly payer pct
76.7
splits executed
9
ipos listed
3
sec filings
4,283
insider form4 filings
1,072
filings 8k
248
ipo names
BSP — Bending Spoons S.p.A.; ITG — ITG Inc.; LIME — Neutron Holdings Inc.
news articles
201
news publishers
3
most covered ticker
MSFT
most covered articles
16
Rows × columns
1 × 14
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 July 1's corporate calendar and information flow, in one row, derived from the stored result.
ColumnTypeRangeNotes
ex_dividend_records number every row is 746
monthly_payers number every row is 572
quarterly_payers number every row is 123
monthly_payer_pct number every row is 76.7 percent
splits_executed number every row is 9
ipos_listed number every row is 3
sec_filings number every row is 4,283
insider_form4_filings number every row is 1,072
filings_8k number every row is 248
ipo_names text 1 distinct value
news_articles number every row is 201
news_publishers number every row is 3
most_covered_ticker text 1 distinct value (MSFT)
most_covered_articles number every row is 16

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
    (
        SELECT (count(), uniqExact(publisher))
        FROM global_markets.stocks_news
        WHERE toDate(toTimeZone(published_utc, 'America/New_York')) = '2026-07-01'
    ) AS news,
    (
        SELECT (argMax(t, n), max(n))
        FROM (
            SELECT t, count() AS n
            FROM (
                SELECT arrayJoin(tickers) AS t
                FROM global_markets.stocks_news
                WHERE toDate(toTimeZone(published_utc, 'America/New_York')) = '2026-07-01'
            )
            WHERE t != 'SPCX'
            GROUP BY t
        )
    ) AS top_news
SELECT
    (SELECT count() FROM global_markets.stocks_dividends WHERE ex_dividend_date = '2026-07-01') AS ex_dividend_records,
    (SELECT countIf(frequency = 12) FROM global_markets.stocks_dividends WHERE ex_dividend_date = '2026-07-01') AS monthly_payers,
    (SELECT countIf(frequency = 4) FROM global_markets.stocks_dividends WHERE ex_dividend_date = '2026-07-01') AS quarterly_payers,
    (SELECT round(100.0 * countIf(frequency = 12) / count(), 1) FROM global_markets.stocks_dividends WHERE ex_dividend_date = '2026-07-01') AS monthly_payer_pct,
    (SELECT count() FROM global_markets.stocks_splits WHERE execution_date = '2026-07-01') AS splits_executed,
    (SELECT count() FROM global_markets.stocks_ipos WHERE listing_date = '2026-07-01') AS ipos_listed,
    (SELECT uniqExact(accession_number) FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-07-01') AS sec_filings,
    (SELECT uniqExactIf(accession_number, form_type = '4') FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-07-01') AS insider_form4_filings,
    (SELECT uniqExactIf(accession_number, form_type = '8-K') FROM global_markets.stocks_sec_edgar_index WHERE filing_date = '2026-07-01') AS filings_8k,
    (SELECT arrayStringConcat(groupArray(concat(ticker, ' — ', issuer_name)), '; ') FROM (
        SELECT ticker, issuer_name FROM global_markets.stocks_ipos WHERE listing_date = '2026-07-01' ORDER BY ticker
    )) AS ipo_names,
    news.1 AS news_articles,
    news.2 AS news_publishers,
    top_news.1 AS most_covered_ticker,
    top_news.2 AS most_covered_articles

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisMarket Recap: July 1, 2026, The Day in Numbers
Session check: SPY's observed minute-bar span scalar 1×6 → One row for the whole options day: volume, same-day expiry, put/call skew, and the busiest contract scalar 1×21 → SPY's open-to-close move ranked against the trailing month of sessions (rank 1 = biggest absolute move) scalar 1×4 → Every quarter-opening session since 2004: SPY's open-to-close move, with July 1 ranked inside it scalar 1×9 → Advancers, decliners, and new quarterly highs vs lows among tickers with at least $1M traded on July 1 scalar 1×12 → The day's last twelve news articles tagging MU, SNDK, STX, WDC or META (one licensed feed) table 12×4 → See all 2,170 queries →