growth_path
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.
| month | aiq_index | botz_index | xlk_index | qqq_index |
|---|---|---|---|---|
| 2021-10 | 104.8 | 104.3 | 106.6 | 107.2 |
| 2021-11 | 104.5 | 100.2 | 111.3 | 109.3 |
| 2021-12 | 105.1 | 99.5 | 114.7 | 110.5 |
| 2022-01 | 95.2 | 82.2 | 106.9 | 100.8 |
| 2022-02 | 88.5 | 81.9 | 101.6 | 96.3 |
| 2022-03 | 89.3 | 80.3 | 104.9 | 100.7 |
| 2022-04 | 76.9 | 66 | 93.3 | 87 |
| 2022-05 | 75.1 | 66 | 92.7 | 85.6 |
| 2022-06 | 68.8 | 56.3 | 83.9 | 77.8 |
| 2022-07 | 74.4 | 62.3 | 95.2 | 87.6 |
| 2022-08 | 71.4 | 57 | 89.2 | 83.1 |
| 2022-09 | 63.4 | 50.1 | 78.4 | 74.2 |
| 2022-10 | 65 | 54.3 | 84.4 | 77.2 |
| 2022-11 | 71.9 | 59.3 | 89.7 | 81.4 |
| 2022-12 | 66.4 | 56.9 | 82.1 | 73.9 |
| 2023-01 | 75.6 | 65.9 | 89.7 | 81.8 |
| 2023-02 | 74.6 | 65.2 | 90.1 | 81.5 |
| 2023-03 | 81.3 | 70.6 | 99.6 | 89.1 |
| 2023-04 | 78.8 | 69 | 99.5 | 89.6 |
| 2023-05 | 86.4 | 75.5 | 108.4 | 96.6 |
| 2023-06 | 92.4 | 79.6 | 114.7 | 102.6 |
| 2023-07 | 98 | 80.7 | 117.7 | 106.5 |
| 2023-08 | 94.4 | 74 | 115.9 | 104.9 |
| 2023-09 | 89 | 68.4 | 108.2 | 99.5 |
| 2023-10 | 86.5 | 63 | 108.2 | 97.4 |
| 2023-11 | 98.3 | 73.2 | 122.2 | 108 |
| 2023-12 | 103.1 | 78.9 | 127 | 113.7 |
| 2024-01 | 103.4 | 79.1 | 130.4 | 115.8 |
| 2024-02 | 110.1 | 86.3 | 136.6 | 121.9 |
| 2024-03 | 112.3 | 88.1 | 137.4 | 123.3 |
| 2024-04 | 106.1 | 82.7 | 129.5 | 117.9 |
| 2024-05 | 110.3 | 85.2 | 138.7 | 125.1 |
| 2024-06 | 117.8 | 85.4 | 149.3 | 133 |
| 2024-07 | 115.7 | 85.3 | 144.4 | 130.8 |
| 2024-08 | 116.9 | 87.4 | 145.4 | 132.2 |
| 2024-09 | 122.9 | 89 | 148.9 | 135.5 |
| 2024-10 | 120.9 | 87.9 | 146.6 | 134.3 |
| 2024-11 | 128.3 | 92.4 | 154.2 | 141.5 |
| 2024-12 | 127.7 | 88.5 | 153.4 | 141.9 |
| 2025-01 | 133.7 | 91.9 | 152.3 | 145 |
| 2025-02 | 129.2 | 88.8 | 148.8 | 141.1 |
| 2025-03 | 120.3 | 78.8 | 136.2 | 130.2 |
| 2025-04 | 121.9 | 79.1 | 138.5 | 132 |
| 2025-05 | 133.2 | 85.5 | 152.3 | 144.1 |
| 2025-06 | 144.4 | 90.4 | 167.1 | 153.2 |
| 2025-07 | 147.3 | 92.7 | 173.3 | 156.9 |
| 2025-08 | 149 | 92.9 | 173.2 | 158.4 |
| 2025-09 | 163.3 | 98.1 | 186 | 166.7 |
| 2025-10 | 175.5 | 104.7 | 198.4 | 174.7 |
| 2025-11 | 165.8 | 97.4 | 188.8 | 171.9 |
| 2025-12 | 168.1 | 100.3 | 190 | 170.6 |
| 2026-01 | 171.8 | 103.3 | 189.9 | 172.7 |
| 2026-02 | 166.1 | 108 | 183.1 | 168.6 |
| 2026-03 | 154.3 | 92 | 175.4 | 160.2 |
| 2026-04 | 184.7 | 106.5 | 210.5 | 185.4 |
| 2026-05 | 222.5 | 111.2 | 252.1 | 205 |
| 2026-06 | 216.9 | 105 | 251.4 | 204.5 |
| 2026-07 | 194.7 | 97.5 | 231.4 | 191 |
| 2026-08 | 212.6 | 99.4 | 246.1 | 199 |
| 2026-09 | 215.4 | 97.5 | 258.3 | 205.4 |
| 2026-10 | 218.1 | 98.8 | 263 | 207.1 |
- Rows × columns
- 61 × 5
- 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 |
|---|---|---|---|
month |
text | 61 distinct values (2021-10, 2021-11, 2021-12…) | |
aiq_index |
number | 63.4 to 222.5 | |
botz_index |
number | 50.1 to 111.2 | |
xlk_index |
number | 78.4 to 263 | |
qqq_index |
number | 73.9 to 207.1 |
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
base AS
(
SELECT
ticker,
argMin(toFloat64(close), date) AS base_close
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AIQ', 'BOTZ', 'XLK', 'QQQ')
AND date >= '2021-10-01'
AND date < '2021-11-01'
GROUP BY ticker
),
monthly AS
(
SELECT
ticker,
toStartOfMonth(date) AS month_start,
argMax(toFloat64(close), date) AS month_close
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AIQ', 'BOTZ', 'XLK', 'QQQ')
AND date >= '2021-10-01'
GROUP BY ticker, month_start
)
SELECT
formatDateTime(m.month_start, '%Y-%m') AS month,
round(maxIf(100 * m.month_close / b.base_close, m.ticker = 'AIQ'), 1) AS aiq_index,
round(maxIf(100 * m.month_close / b.base_close, m.ticker = 'BOTZ'), 1) AS botz_index,
round(maxIf(100 * m.month_close / b.base_close, m.ticker = 'XLK'), 1) AS xlk_index,
round(maxIf(100 * m.month_close / b.base_close, m.ticker = 'QQQ'), 1) AS qqq_index
FROM monthly AS m
INNER JOIN base AS b ON b.ticker = m.ticker
GROUP BY month
HAVING countIf(m.ticker = 'AIQ') = 1
AND countIf(m.ticker = 'BOTZ') = 1
AND countIf(m.ticker = 'XLK') = 1
AND countIf(m.ticker = 'QQQ') = 1
ORDER BY month
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