anual
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.
| year | indice_pct | triple_papel_pct | producto_pct |
|---|---|---|---|
| 2016 | 8.2 | 24.6 | 18.6 |
| 2017 | 30.3 | 90.9 | 112.9 |
| 2018 | -2.7 | -8 | -23.8 |
| 2019 | 37.3 | 111.8 | 130.4 |
| 2020 | 45.1 | 135.4 | 100.1 |
| 2021 | 28.6 | 85.9 | 91.3 |
| 2022 | -33.7 | -101.1 | -79.8 |
| 2023 | 54.8 | 164.5 | 199.8 |
| 2024 | 27 | 81 | 64.4 |
| 2025 | 20.4 | 61.2 | 34.1 |
- Rows × columns
- 10 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
year |
text | 10 distinct values (2016, 2017, 2018…) | |
indice_pct |
number | -33.7 to 54.8 | percent |
triple_papel_pct |
number | -101.1 to 164.5 | percent |
producto_pct |
number | -79.8 to 199.8 | 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.
SELECT
toString(toYear(date)) AS year,
round((argMaxIf(toFloat64(close), date, ticker = 'QQQ')
/ argMinIf(toFloat64(close), date, ticker = 'QQQ') - 1) * 100, 1) AS indice_pct,
round((argMaxIf(toFloat64(close), date, ticker = 'QQQ')
/ argMinIf(toFloat64(close), date, ticker = 'QQQ') - 1) * 300, 1) AS triple_papel_pct,
round((argMaxIf(toFloat64(close), date, ticker = 'TQQQ')
/ argMinIf(toFloat64(close), date, ticker = 'TQQQ') - 1) * 100, 1) AS producto_pct
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('QQQ', 'TQQQ')
AND date >= '2016-01-01'
AND date < toStartOfYear(today())
GROUP BY year
HAVING countIf(ticker = 'QQQ') > 100
AND countIf(ticker = 'TQQQ') > 100
ORDER BY year
Trabaja con estos datos en tu asistente de IA
Se abre listo para consultar, con los datos de esta página. Gratis, sin cuenta.