STRASMORE/EXPLORE 2,595 QUERIES

kontrata

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 2026-09-25, from what-is-notional-value.

as of ranking 5×4read in context →
kontrata — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
symbolpetsa_labelclose_usdposition_size_usd
SPYSep 25, 2026770.2777026.6
MSFTSep 25, 2026497.2249721.5
AAPLSep 25, 2026336.2633626.5
NVDASep 25, 2026226.122609.8
KOSep 25, 2026888800.5
Rows × columns
5 × 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 kontrata, derived from the stored result.
ColumnTypeRangeNotes
symbol text 5 distinct values (AAPL, KO, MSFT…)
petsa_label text 1 distinct value (Sep 25, 2026)
close_usd number 88 to 770.27 US dollars
position_size_usd number 8,800.5 to 77,026.6 US dollars

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 huling_araw AS
(
    SELECT
        ticker,
        max(date) AS araw
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'KO', 'SPY')
      AND date >= today() - 21
    GROUP BY ticker
)
SELECT
    s.ticker                                                   AS symbol,
    formatDateTime(max(s.date), '%b %e, %Y')                   AS petsa_label,
    round(argMax(toFloat64(s.close), s._ingest_time), 2)       AS close_usd,
    round(argMax(toFloat64(s.close), s._ingest_time) * 100, 2) AS position_size_usd
FROM global_markets.stocks_daily_aggs AS s
INNER JOIN huling_araw AS h
    ON h.ticker = s.ticker AND h.araw = s.date
GROUP BY s.ticker
ORDER BY position_size_usd DESC
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