STRASMORE/EXPLORE 3,022 QUERIES

ticker_percentiles

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 2026-10-04, from what-is-a-good-relative-volume.

as of ranking 8×4read in context →
ticker_percentiles — 8 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickermedian_rvolp90_rvolp99_rvol
MSFT0.921.473.1
XOM0.941.342.61
KO0.911.352.43
AAPL0.921.412.42
JNJ0.931.392.3
SPY0.951.351.93
NVDA0.931.271.82
PG0.951.341.81
Rows × columns
8 × 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 ticker_percentiles, derived from the stored result.
ColumnTypeRangeNotes
ticker text 8 distinct values (AAPL, JNJ, KO…)
median_rvol number 0.91 to 0.95
p90_rvol number 1.27 to 1.47
p99_rvol number 1.81 to 3.1

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
dedup AS
(
    SELECT
        ticker,
        date,
        toFloat64(max(volume)) AS vol
    FROM global_markets.stocks_daily_aggs
    WHERE date >= today() - 400
      AND ticker IN ('SPY', 'AAPL', 'MSFT', 'NVDA', 'KO', 'XOM', 'JNJ', 'PG')
    GROUP BY ticker, date
),
rv AS
(
    SELECT
        ticker,
        date,
        vol / avg(vol) OVER (PARTITION BY ticker ORDER BY date ROWS BETWEEN 20 PRECEDING AND 1 PRECEDING) AS rvol
    FROM dedup
)
SELECT
    ticker,
    round(quantileDeterministic(0.5)(rvol, toUInt64(date)), 2)  AS median_rvol,
    round(quantileDeterministic(0.9)(rvol, toUInt64(date)), 2)  AS p90_rvol,
    round(quantileDeterministic(0.99)(rvol, toUInt64(date)), 2) AS p99_rvol
FROM rv
WHERE date >= today() - 370
  AND isFinite(rvol)
GROUP BY ticker
ORDER BY p99_rvol DESC
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