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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 2026-11-07, 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
SPYNov 6, 2026735.2973529
MSFTNov 6, 2026530.6153061
AAPLNov 6, 2026342.3734237
NVDANov 6, 2026186.6418664
KONov 6, 202695.679567
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 (Nov 6, 2026)
close_usd number 95.67 to 735.29 US dollars
position_size_usd number 9,567 to 73,529 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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