STRASMORE/EXPLORE 3,214 QUERIES

recuperacion

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 46×4read in context →
recuperacion — 46 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthindice_base100triple_papel_base100producto_base100
2022-12100100100
2023-01110.6131.9132.4
2023-02110.2130.7127.9
2023-03120.5161.6163.4
2023-04121.1163.4163.3
2023-05130.7192.1200.9
2023-06138.7216.2237
2023-07144.1232.3261.9
2023-08142225.9245.3
2023-09134.5203.6205.9
2023-10131.8195.3189.5
2023-11146238.1253.6
2023-12153.8261.4293.1
2024-01156.6269.8304.3
2024-02164.9294.6348.9
2024-03166.7300.2355.8
2024-04159.5278.4304.8
2024-05169.3307.8361.4
2024-06179.9339.8426.7
2024-07176.9330.7394.7
2024-08178.9336.6396.6
2024-09183.3349.9419
2024-10181.7345.1401.4
2024-11191.4374.3461.8
2024-12192376457.4
2025-01196.1388.4478.2
2025-02190.8372.5433.1
2025-03176.1328.3331.2
2025-04178.6335.7317.2
2025-05194.9384.8404.6
2025-06207.2421.5479.8
2025-07212.2436.6509.9
2025-08214.2442.6516.5
2025-09225.5476.4597.7
2025-10236.2508.7674.7
2025-11232.6497.7630.5
2025-12230.7492.1609.5
2026-01233.5500.6624.3
2026-02228.1484.2572.5
2026-03216.8450.3481.8
2026-04250.8552.3734.6
2026-05277.3631.8977.6
2026-06276.6629.7936.4
2026-07258.4575.1747.1
2026-08269.2607.5831.4
2026-09277.8633.4902.1
Rows × columns
46 × 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 recuperacion, derived from the stored result.
ColumnTypeRangeNotes
month text 46 distinct values (2022-12, 2023-01, 2023-02…)
indice_base100 number 100 to 277.8
triple_papel_base100 number 100 to 633.4
producto_base100 number 100 to 977.6

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 argMax(toFloat64(close), date)
     FROM global_markets.stocks_daily_aggs
     WHERE ticker = 'QQQ'
       AND date BETWEEN '2022-12-01' AND '2022-12-31')  AS base_indice,
    (SELECT argMax(toFloat64(close), date)
     FROM global_markets.stocks_daily_aggs
     WHERE ticker = 'TQQQ'
       AND date BETWEEN '2022-12-01' AND '2022-12-31')  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 >= '2022-12-01'
  AND date <  toStartOfMonth(today())
GROUP BY month
HAVING countIf(ticker = 'QQQ')  > 0
   AND countIf(ticker = 'TQQQ') > 0
ORDER BY month
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