STRASMORE/EXPLORE 2,948 QUERIES

vol_trend

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 2026-10-02, from thematic-etfs-vs-sector-etfs.

as of series 24×4read in context →
vol_trend — 24 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthaiq_vol_pctxlk_vol_pctqqq_vol_pct
2024-1015.319.415.4
2024-1115.617.816.2
2024-1219.619.320
2025-0121.428.220.4
2025-0222.423.318.9
2025-0332.329.927
2025-0461.566.658.8
2025-0521.122.719.7
2025-0615.31312
2025-0711.110.47.8
2025-0818.617.515.4
2025-0910.712.28.1
2025-1025.821.918.8
2025-1128.925.822
2025-1216.117.712.9
2026-0119.11913.6
2026-0229.228.218.7
2026-0330.927.322
2026-0424.51915.2
2026-0528.623.516.1
2026-0650.643.533.1
2026-0736.533.623.7
2026-0824.926.617.9
2026-0921.118.315.7
Rows × columns
24 × 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 vol_trend, derived from the stored result.
ColumnTypeRangeNotes
month text 24 distinct values (2024-10, 2024-11, 2024-12…)
aiq_vol_pct number 10.7 to 61.5 percent
xlk_vol_pct number 10.4 to 66.6 percent
qqq_vol_pct number 7.8 to 58.8 percent

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 px AS
(
    SELECT
        ticker,
        date,
        toFloat64(close)                                                      AS px,
        lagInFrame(toFloat64(close)) OVER (PARTITION BY ticker ORDER BY date)  AS prev_px
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AIQ', 'XLK', 'QQQ')
      AND date >= toStartOfMonth(today() - 730)
)
SELECT
    formatDateTime(toStartOfMonth(date), '%Y-%m')                                              AS month,
    round(100 * sqrt(252) * stddevSampIf(px / prev_px - 1, ticker = 'AIQ'  AND prev_px > 0), 1) AS aiq_vol_pct,
    round(100 * sqrt(252) * stddevSampIf(px / prev_px - 1, ticker = 'XLK'  AND prev_px > 0), 1) AS xlk_vol_pct,
    round(100 * sqrt(252) * stddevSampIf(px / prev_px - 1, ticker = 'QQQ'  AND prev_px > 0), 1) AS qqq_vol_pct
FROM px
GROUP BY month
HAVING countIf(ticker = 'AIQ' AND prev_px > 0) > 10
   AND countIf(ticker = 'XLK' AND prev_px > 0) > 10
   AND countIf(ticker = 'QQQ' AND prev_px > 0) > 10
ORDER BY month
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