AINF.L vs. TECL
AINF.L (iShares AI Infrastructure UCITS ETF USD Accumulating) and TECL (Direxion Daily Technology Bull 3X Shares) are both exchange-traded funds - AINF.L is a Technology Equities fund managed by iShares, while TECL is a Leveraged Equities fund tracking the Technology Select Sector Index (300%). Over the past year, AINF.L returned 120.54% vs 252.73% for TECL. A 0.67 correlation means they provide meaningful diversification when combined.
Performance
AINF.L vs. TECL - Performance Comparison
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Different Trading Currencies
AINF.L is traded in GBP, while TECL is traded in USD. To make them comparable, the TECL values have been converted to GBP using the latest available exchange rates.
Returns By Period
In the year-to-date period, AINF.L achieves a 57.58% return, which is significantly lower than TECL's 116.44% return.
AINF.L
- 1D
- -1.95%
- 1M
- 22.71%
- YTD
- 57.58%
- 6M
- 57.54%
- 1Y
- 120.54%
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
TECL
- 1D
- -4.56%
- 1M
- 56.52%
- YTD
- 116.44%
- 6M
- 105.22%
- 1Y
- 252.73%
- 3Y*
- 74.43%
- 5Y*
- 43.64%
- 10Y*
- 54.76%
AINF.L vs. TECL - Yearly Performance Comparison
| 2026 (YTD) | 2025 | 2024 | |
|---|---|---|---|
AINF.L iShares AI Infrastructure UCITS ETF USD Accumulating | 57.58% | 34.74% | 0.43% |
TECL Direxion Daily Technology Bull 3X Shares | 116.44% | 28.73% | -7.67% |
Correlation
The correlation between AINF.L and TECL is 0.74, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (1Y) Calculated over the trailing 1-year period | 0.74 |
Correlation (All Time) Calculated using the full available price history since Dec 10, 2024 | 0.67 |
The correlation between AINF.L and TECL has been stable across timeframes, ranging from 0.67 to 0.74 - a consistent structural relationship.
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Return for Risk
AINF.L vs. TECL — Risk / Return Rank
AINF.L
TECL
AINF.L vs. TECL - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for iShares AI Infrastructure UCITS ETF USD Accumulating (AINF.L) and Direxion Daily Technology Bull 3X Shares (TECL). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
| AINF.L | TECL | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | +0.96 | ||
| Sortino ratioReturn per unit of downside risk | +2.17 | ||
| Omega ratioGain probability vs. loss probability | 1.77 | 1.48 | +0.29 |
| Calmar ratioReturn relative to maximum drawdown | 10.78 | 5.47 | +5.31 |
| Martin ratioReturn relative to average drawdown | 36.61 | 15.03 | +21.58 |
Data is calculated on a 1-year rolling basis and updated daily. The trend shows the change in the indicator over the past month. | |||
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Sharpe Ratios by Period
| AINF.L | TECL | Difference | |
|---|---|---|---|
Sharpe Ratio (1Y)Calculated over the trailing 1-year period | 5.14 | 4.19 | +0.96 |
Sharpe Ratio (5Y)Calculated over the trailing 5-year period | — | 0.61 | — |
Sharpe Ratio (10Y)Calculated over the trailing 10-year period | — | 0.77 | — |
Sharpe Ratio (All Time)Calculated using the full available price history | 2.52 | 0.78 | +1.74 |
Drawdowns
AINF.L vs. TECL - Drawdown Comparison
The maximum AINF.L drawdown since its inception was -28.79%, smaller than the maximum TECL drawdown of -74.54%. Use the drawdown chart below to compare losses from any high point for AINF.L and TECL.
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Drawdown Indicators
| AINF.L | TECL | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -28.79% | -74.54% | +45.75% |
Max Drawdown (1Y)Largest decline over 1 year | -11.12% | -46.53% | +35.41% |
Max Drawdown (3Y)Largest decline over 3 years | — | -66.38% | — |
Max Drawdown (5Y)Largest decline over 5 years | — | -74.54% | — |
Max Drawdown (10Y)Largest decline over 10 years | — | -74.54% | — |
Current DrawdownCurrent decline from peak | -1.95% | -7.09% | +5.14% |
Average DrawdownAverage peak-to-trough decline | -5.03% | -17.70% | +12.67% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 3.28% | 16.90% | -13.62% |
Volatility
AINF.L vs. TECL - Volatility Comparison
The current volatility for iShares AI Infrastructure UCITS ETF USD Accumulating (AINF.L) is 9.19%, while Direxion Daily Technology Bull 3X Shares (TECL) has a volatility of 20.90%. This indicates that AINF.L experiences smaller price fluctuations and is considered to be less risky than TECL based on this measure. The chart below showcases a comparison of their rolling one-month volatility.
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Volatility by Period
| AINF.L | TECL | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 9.19% | 20.90% | -11.71% |
Volatility (6M)Calculated over the trailing 6-month period | 17.58% | 48.39% | -30.81% |
Volatility (1Y)Calculated over the trailing 1-year period | 23.30% | 60.78% | -37.48% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 26.52% | 71.80% | -45.28% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 26.52% | 70.99% | -44.47% |
Dividends
AINF.L vs. TECL - Dividend Comparison
AINF.L has not paid dividends to shareholders, while TECL's dividend yield for the trailing twelve months is around 3.30%.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 |
|---|---|---|---|---|---|---|---|---|---|---|
AINF.L iShares AI Infrastructure UCITS ETF USD Accumulating | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
TECL Direxion Daily Technology Bull 3X Shares | 3.30% | 7.19% | 0.29% | 0.28% | 0.22% | 0.32% | 0.52% | 0.25% | 0.47% | 0.10% |
Frequently Asked Questions
AINF.L and TECL have a correlation of 0.74, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
AINF.L is categorized as Technology Equities, while TECL is Leveraged Equities. They also come from different issuers: iShares and Direxion.
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