STRASMORE/EXPLORE 2,985 QUERIES

derived_signal

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 2026-10-03, from market-data-licensing-for-app-developers.

as of series 12×3read in context →
derived_signal — 12 rows by 3 columns, computed from US exchange, SIP and OPRA data.
monthrealized_vol_pctreturn_count
2025-096.2920
2025-1013.423
2025-1114.9419
2025-128.1622
2026-011020
2026-0213.0319
2026-0317.8222
2026-0411.4321
2026-059.5120
2026-0617.2621
2026-0711.8222
2026-0810.0521
Rows × columns
12 × 3
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 derived_signal, derived from the stored result.
ColumnTypeRangeNotes
month text 12 distinct values (2025-09, 2025-10, 2025-11…)
realized_vol_pct number 6.29 to 17.82 percent
return_count number 19 to 23 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.

WITH daily AS
(
    SELECT
        date,
        toFloat64(close) AS px,
        lagInFrame(toFloat64(close)) OVER (ORDER BY date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'SPY'
      AND date >= '2025-09-01'
      AND date <  '2026-09-01'
)
SELECT
    formatDateTime(toStartOfMonth(date), '%Y-%m')             AS month,
    round(stddevPop(px / prev_px - 1) * sqrt(252) * 100, 2)   AS realized_vol_pct,
    count()                                                   AS return_count
FROM daily
WHERE prev_px > 0
GROUP BY month
ORDER BY month
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