QTUM vs. AIPO
QTUM (Defiance Quantum ETF) and AIPO (Defiance AI & Power Infrastructure ETF) are both exchange-traded funds - QTUM is a Technology Equities fund tracking the BlueStar Machine Learning and Quantum Computing Index, while AIPO is a Building & Construction fund tracking the MarketVector™ US Listed AI and Power Infrastructure Index. Both are passively managed. Their correlation of 0.84 suggests significant overlap in exposure. QTUM charges 0.40%/yr vs 0.69%/yr for AIPO.
Performance
QTUM vs. AIPO - Performance Comparison
Loading charts...
Returns By Period
In the year-to-date period, QTUM achieves a 30.78% return, which is significantly lower than AIPO's 32.32% return.
QTUM
- 1D
- -3.40%
- 1M
- -11.80%
- 6M
- 21.36%
- YTD
- 30.78%
- 1Y
- 54.31%
- 3Y*
- 40.96%
- 5Y*
- 25.84%
- 10Y*
- —
AIPO
- 1D
- -4.06%
- 1M
- -9.52%
- 6M
- 21.25%
- YTD
- 32.32%
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
QTUM vs. AIPO - Yearly Performance Comparison
| 2026 (YTD) | 2025 | |
|---|---|---|
QTUM Defiance Quantum ETF | 30.78% | 17.77% |
AIPO Defiance AI & Power Infrastructure ETF | 32.32% | 9.46% |
Correlation
The correlation between QTUM and AIPO is 0.84, indicating a strong positive relationship between their price movements. Combining them offers limited diversification - they tend to fall together during downturns.
| Correlation | |
|---|---|
Correlation (All Time) Calculated using the full available price history since Jul 25, 2025 | 0.84 |
QTUM vs. AIPO - Sectors Allocation Comparison
Sectors
QTUM
AIPO
Technology
Industrials
Communication Services
Consumer Cyclical
-
Healthcare
-
Financial Services
Basic Materials
-
-
Consumer Defensive
-
-
Energy
-
Real Estate
-
Utilities
-
Technology
QTUM
AIPO
Industrials
QTUM
AIPO
Communication Services
QTUM
AIPO
Consumer Cyclical
QTUM
AIPO
-
Healthcare
QTUM
AIPO
-
Financial Services
QTUM
AIPO
Basic Materials
QTUM
-
AIPO
-
Consumer Defensive
QTUM
-
AIPO
-
Energy
QTUM
-
AIPO
Real Estate
QTUM
-
AIPO
Utilities
QTUM
-
AIPO
Compare stocks, funds, or ETFs
Search for stocks, ETFs, and funds for a quick comparison or use the comparison tool for more options.
Return for Risk
QTUM vs. AIPO — Risk / Return Rank
QTUM
AIPO
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
QTUM vs. AIPO - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for Defiance Quantum ETF (QTUM) and Defiance AI & Power Infrastructure ETF (AIPO). 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.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| QTUM | AIPO | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | — | — | |
| Sortino ratioReturn per unit of downside risk | — | — | |
| Omega ratioGain probability vs. loss probability | 1.30 | — | — |
| Calmar ratioReturn relative to maximum drawdown | 3.58 | — | — |
| Martin ratioReturn relative to average drawdown | 11.44 | — | — |
Loading charts...
Drawdowns
QTUM vs. AIPO - Drawdown Comparison
The maximum QTUM drawdown since its inception was -38.45%, which is greater than AIPO's maximum drawdown of -17.31%. Use the drawdown chart below to compare losses from any high point for QTUM and AIPO.
Loading charts...
Drawdown Indicators
| QTUM | AIPO | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -38.45% | -17.31% | -21.14% |
Max Drawdown (1Y)Largest decline over 1 year | -15.26% | — | — |
Max Drawdown (3Y)Largest decline over 3 years | -25.39% | — | — |
Max Drawdown (5Y)Largest decline over 5 years | -38.45% | — | — |
Current DrawdownCurrent decline from peak | -15.19% | -15.82% | +0.63% |
Average DrawdownAverage peak-to-trough decline | -8.22% | -4.77% | -3.45% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 4.76% | — | — |
Volatility
QTUM vs. AIPO - Volatility Comparison
Loading charts...
Volatility by Period
| QTUM | AIPO | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 11.07% | — | — |
Volatility (6M)Calculated over the trailing 6-month period | 25.30% | — | — |
Volatility (1Y)Calculated over the trailing 1-year period | 30.57% | 36.08% | -5.51% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 27.47% | 36.08% | -8.61% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 27.59% | 36.08% | -8.49% |
QTUM vs. AIPO - Expense Ratio Comparison
QTUM has a 0.40% expense ratio, which is lower than AIPO's 0.69% expense ratio.
Dividends
QTUM vs. AIPO - Dividend Comparison
QTUM's dividend yield for the trailing twelve months is around 0.82%, more than AIPO's 0.01% yield.
| Position | TTM | 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 |
|---|---|---|---|---|---|---|---|---|---|
AIPO Defiance AI & Power Infrastructure ETF | 0.01% | 0.01% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
QTUM Defiance Quantum ETF | 0.82% | 1.01% | 0.61% | 0.81% | 1.46% | 0.48% | 0.42% | 0.61% | 0.21% |
Frequently Asked Questions
QTUM and AIPO have a correlation of 0.84, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, QTUM is cheaper at 0.40% per year. The better choice depends on whether you care most about return, fees, risk, or income.
QTUM is cheaper with a 0.40% expense ratio, compared with 0.69% for AIPO.
QTUM has the higher dividend yield at 0.82%, compared with 0.01% for AIPO.
QTUM is categorized as Technology Equities, while AIPO is Building & Construction. QTUM tracks BlueStar Machine Learning and Quantum Computing Index, while AIPO tracks MarketVector™ US Listed AI and Power Infrastructure Index. Their fees differ too: 0.40% for QTUM and 0.69% for AIPO.
Find the right allocation for QTUM and AIPO
Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.
Open Portfolio Optimizer