STRASMORE/EXPLORE 3,293 QUERIES

kvue_separation

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-jnj-stock-for-indian-investors.

as of table 2×5read in context →
kvue_separation — 2 rows by 5 columns, computed from US exchange, SIP and OPRA data.
symbollisted_fromstart_offsetavg_close_usdavg_daily_volume_m
JNJ01/05/20230159.5212.6
KVUE04/05/2023322.6624.9
Rows × columns
2 × 5
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 kvue_separation, derived from the stored result.
ColumnTypeRangeNotes
symbol text 2 distinct values (JNJ, KVUE)
listed_from text 2 distinct values (01/05/2023, 04/05/2023)
start_offset number 0 to 3
avg_close_usd number 22.66 to 159.52 US dollars
avg_daily_volume_m number 12.6 to 24.9 count

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.

SELECT
    ticker                                              AS symbol,
    formatDateTime(min(date), '%d/%m/%Y')               AS listed_from,
    dateDiff('day', toDate('2023-05-01'), min(date))    AS start_offset,
    round(avg(toFloat64(close)), 2)                     AS avg_close_usd,
    round(avg(toFloat64(volume)) / 1e6, 1)              AS avg_daily_volume_m
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('JNJ', 'KVUE')
  AND date >= toDate('2023-05-01')
  AND date <= toDate('2023-12-29')
GROUP BY ticker
ORDER BY ticker
⌘/Ctrl + Enter

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