STRASMORE/EXPLORE 3,214 QUERIES

ventana_2022

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 2026-10-08, from leveraged-etfs-from-spain.

as of series 14×4read in context →
ventana_2022 — 14 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthindice_base100triple_papel_base100producto_base100
2021-1197.592.492.3
2021-1298.595.493.9
2022-0189.969.669.8
2022-0285.857.559.2
2022-0389.769.265.7
2022-0477.532.641.2
2022-0576.328.937.3
2022-0669.48.127.1
2022-0778.134.337.7
2022-0874.122.231.4
2022-0966.2-1.521.8
2022-1068.86.423.7
2022-1172.617.826.6
2022-1265.9-2.319.5
Rows × columns
14 × 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 ventana_2022, derived from the stored result.
ColumnTypeRangeNotes
month text 14 distinct values (2021-11, 2021-12, 2022-01…)
indice_base100 number 65.9 to 98.5
triple_papel_base100 number -2.3 to 95.4
producto_base100 number 19.5 to 93.9

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
    (SELECT argMin(toFloat64(close), date)
     FROM global_markets.stocks_daily_aggs
     WHERE ticker = 'QQQ'
       AND date BETWEEN '2021-11-19' AND '2021-11-30')  AS base_indice,
    (SELECT argMin(toFloat64(close), date)
     FROM global_markets.stocks_daily_aggs
     WHERE ticker = 'TQQQ'
       AND date BETWEEN '2021-11-19' AND '2021-11-30')  AS base_producto
SELECT
    formatDateTime(toStartOfMonth(date), '%Y-%m')                                    AS month,
    round(argMaxIf(toFloat64(close), date, ticker = 'QQQ') * 100 / base_indice, 1)    AS indice_base100,
    round(100 * (1 + 3 * (argMaxIf(toFloat64(close), date, ticker = 'QQQ')
                          / base_indice - 1)), 1)                                    AS triple_papel_base100,
    round(argMaxIf(toFloat64(close), date, ticker = 'TQQQ') * 100 / base_producto, 1) AS producto_base100
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('QQQ', 'TQQQ')
  AND date >= '2021-11-19'
  AND date <= '2022-12-31'
GROUP BY month
HAVING countIf(ticker = 'QQQ')  > 0
   AND countIf(ticker = 'TQQQ') > 0
ORDER BY month
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