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Recent US splits, stamped in New York and Beijing time

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 2026-10-06, from US Stock Splits for Chinese Investors.

as of series 12×7read in context →
Recent US splits, stamped in New York and Beijing time — 12 rows by 7 columns, computed from US exchange, SIP and OPRA data.
effective_dateeffective_labeltickerratioshare_multiplieropen_beijingclose_beijing
2026-09-29Sep 29KYBIF3-for-13Sep 29, 21:30Sep 30, 04:00
2026-09-29Sep 29TSOCF4-for-14Sep 29, 21:30Sep 30, 04:00
2026-09-29Sep 29AWBKF5-for-15Sep 29, 21:30Sep 30, 04:00
2026-09-29Sep 29NKNSF2-for-12Sep 29, 21:30Sep 30, 04:00
2026-09-29Sep 29HKTOF3-for-13Sep 29, 21:30Sep 30, 04:00
2026-09-29Sep 29SMFNF2-for-12Sep 29, 21:30Sep 30, 04:00
2026-09-29Sep 29IBIDF2-for-12Sep 29, 21:30Sep 30, 04:00
2026-09-30Sep 30ZCSH3-for-13Sep 30, 21:30Oct 1, 04:00
2026-10-02Oct 2NGKSY3-for-13Oct 2, 21:30Oct 3, 04:00
2026-10-02Oct 2MMSMY2-for-12Oct 2, 21:30Oct 3, 04:00
2026-10-05Oct 5PSKY2-for-12Oct 5, 21:30Oct 6, 04:00
2026-10-05Oct 5TGOSY5-for-15Oct 5, 21:30Oct 6, 04:00
Rows × columns
12 × 7
Period covered
to
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 Recent US splits, stamped in New York and Beijing time, derived from the stored result.
ColumnTypeRangeNotes
effective_date date 2026-09-29 to 2026-10-05
effective_label text 4 distinct values (Oct 2, Oct 5, Sep 29…)
ticker text 12 distinct values (AWBKF, HKTOF, IBIDF…)
ratio text 4 distinct values (2-for-1, 3-for-1, 4-for-1…)
share_multiplier number 2 to 5
open_beijing text 4 distinct values
close_beijing text 4 distinct values (Oct 1, 04:00, Oct 3, 04:00, Oct 6, 04:00…)

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 completed AS
(
    SELECT
        execution_date,
        ticker,
        toFloat64(any(split_to))   AS to_shares,
        toFloat64(any(split_from)) AS from_shares
    FROM global_markets.stocks_splits
    WHERE execution_date >= today() - 120
      AND execution_date <= today()
      AND split_to >= split_from * 2
      AND ticker NOT IN ('SPCX')
    GROUP BY execution_date, ticker
    ORDER BY execution_date DESC
    LIMIT 12
)
SELECT
    toString(execution_date)                AS effective_date,
    formatDateTime(execution_date, '%b %e') AS effective_label,
    ticker,
    concat(
        if(to_shares = floor(to_shares), toString(toUInt32(to_shares)), toString(round(to_shares, 2))),
        '-for-',
        if(from_shares = floor(from_shares), toString(toUInt32(from_shares)), toString(round(from_shares, 2)))
    )                                       AS ratio,
    round(to_shares / from_shares, 2)       AS share_multiplier,
    formatDateTime(toTimeZone(toDateTime(concat(toString(execution_date), ' 09:30:00'), 'America/New_York'), 'Asia/Shanghai'), '%b %e, %H:%i') AS open_beijing,
    formatDateTime(toTimeZone(toDateTime(concat(toString(execution_date), ' 16:00:00'), 'America/New_York'), 'Asia/Shanghai'), '%b %e, %H:%i') AS close_beijing
FROM completed
ORDER BY execution_date
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