hasil_pasaran

Name: hasil_pasaran
Creator: Strasmore
Published: 2026-10-24
License: https://www.strasmore.com/terms/

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 2026-10-24, from what-is-a-dividend-for-malaysian-investors.

as of 2026-10-24 table 5×5read in context →

hasil_pasaran — 5 rows by 5 columns, computed 2026-10-24 from US exchange, SIP and OPRA data.
ticker	payments_12m	ttm_dividend_usd	price_as_of	yield_pct
AAPL	4	1.06	23 Oct 2026	0.3
JNJ	4	5.28	23 Oct 2026	2
KO	4	2.1	23 Oct 2026	2.27
MSFT	4	3.64	23 Oct 2026	0.69
SPY	4	7.5827	23 Oct 2026	1

Rows × columns: 5 × 5
Computed: 2026-10-24
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 hasil_pasaran, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	5 distinct values (AAPL, JNJ, KO…)
`payments_12m`	number	every row is 4
`ttm_dividend_usd`	number	1.06 to 7.5827	US dollars
`price_as_of`	text	1 distinct value (23 Oct 2026)
`yield_pct`	number	0.3 to 2.27	percent

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 2026-10-24, 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.

SELECT
    dv.ticker                                                          AS ticker,
    dv.payments_12m                                                    AS payments_12m,
    round(dv.ttm_dividend_usd, 4)                                      AS ttm_dividend_usd,
    formatDateTime(px.last_date, '%d %b %Y')                           AS price_as_of,
    round(dv.ttm_dividend_usd / toFloat64(px.last_close) * 100, 2)     AS yield_pct
FROM
(
    SELECT
        ticker,
        count()          AS payments_12m,
        sum(cash_usd)    AS ttm_dividend_usd
    FROM
    (
        SELECT
            ticker,
            ex_dividend_date,
            toFloat64(max(cash_amount))  AS cash_usd
        FROM global_markets.stocks_dividends
        WHERE ticker IN ('AAPL', 'JNJ', 'KO', 'MSFT', 'SPY')
          AND ex_dividend_date >= today() - 365
          AND ex_dividend_date <  today()
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
) AS dv
INNER JOIN
(
    SELECT
        ticker,
        argMax(close, date)  AS last_close,
        max(date)            AS last_date
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'JNJ', 'KO', 'MSFT', 'SPY')
      AND date >= today() - 30
    GROUP BY ticker
) AS px ON px.ticker = dv.ticker
ORDER BY dv.ticker

SQL to run

SELECT
    dv.ticker                                                          AS ticker,
    dv.payments_12m                                                    AS payments_12m,
    round(dv.ttm_dividend_usd, 4)                                      AS ttm_dividend_usd,
    formatDateTime(px.last_date, '%d %b %Y')                           AS price_as_of,
    round(dv.ttm_dividend_usd / toFloat64(px.last_close) * 100, 2)     AS yield_pct
FROM
(
    SELECT
        ticker,
        count()          AS payments_12m,
        sum(cash_usd)    AS ttm_dividend_usd
    FROM
    (
        SELECT
            ticker,
            ex_dividend_date,
            toFloat64(max(cash_amount))  AS cash_usd
        FROM global_markets.stocks_dividends
        WHERE ticker IN ('AAPL', 'JNJ', 'KO', 'MSFT', 'SPY')
          AND ex_dividend_date >= today() - 365
          AND ex_dividend_date <  today()
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
) AS dv
INNER JOIN
(
    SELECT
        ticker,
        argMax(close, date)  AS last_close,
        max(date)            AS last_date
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'JNJ', 'KO', 'MSFT', 'SPY')
      AND date >= today() - 30
    GROUP BY ticker
) AS px ON px.ticker = dv.ticker
ORDER BY dv.ticker

⌘/Ctrl + Enter

Gunakan data ini dalam pembantu AI anda

Dibuka sedia untuk ditanya, dengan data halaman ini. Percuma, tanpa akaun.

Claude ChatGPT Gemini Muse Ejen anda sendiri