AINT vs. AIUP
AINT (FINQ Dollar Neutral U.S. Large Cap AI-Managed Equity ETF) and AIUP (FINQ FIRST U.S. Large Cap AI-Managed Equity ETF) are both exchange-traded funds - AINT is a Equity Market Neutral fund actively managed by FINQ, while AIUP is a Large Cap Blend Equities fund actively managed by FINQ. Both are actively managed. A 0.75 correlation means they provide meaningful diversification when combined. AINT charges 1.25%/yr vs 0.70%/yr for AIUP.
Performance
AINT vs. AIUP - Performance Comparison
Loading charts...
Returns By Period
AINT
- 1D
- -0.66%
- 1M
- 4.52%
- 6M
- —
- YTD
- —
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
AIUP
- 1D
- 0.88%
- 1M
- 5.76%
- 6M
- —
- YTD
- —
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
AINT vs. AIUP - Yearly Performance Comparison
| 2026 (YTD) | |
|---|---|
AINT FINQ Dollar Neutral U.S. Large Cap AI-Managed Equity ETF | 14.31% |
AIUP FINQ FIRST U.S. Large Cap AI-Managed Equity ETF | 14.43% |
Correlation
The correlation between AINT and AIUP is 0.75, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.
| Correlation | |
|---|---|
Correlation (All Time) Calculated using the full available price history since Feb 6, 2026 | 0.75 |
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
AINT vs. AIUP - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for FINQ Dollar Neutral U.S. Large Cap AI-Managed Equity ETF (AINT) and FINQ FIRST U.S. Large Cap AI-Managed Equity ETF (AIUP). 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.
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
Loading charts...
Drawdowns
AINT vs. AIUP - Drawdown Comparison
The maximum AINT drawdown since its inception was -15.90%, which is greater than AIUP's maximum drawdown of -11.32%. Use the drawdown chart below to compare losses from any high point for AINT and AIUP.
Loading charts...
Drawdown Indicators
| AINT | AIUP | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -15.90% | -11.32% | -4.58% |
Current DrawdownCurrent decline from peak | -10.55% | -0.85% | -9.70% |
Average DrawdownAverage peak-to-trough decline | -6.52% | -2.99% | -3.53% |
Volatility
AINT vs. AIUP - Volatility Comparison
Loading charts...
Volatility by Period
| AINT | AIUP | Difference | |
|---|---|---|---|
Volatility (1Y)Calculated over the trailing 1-year period | 29.39% | 23.58% | +5.81% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 29.39% | 23.58% | +5.81% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 29.39% | 23.58% | +5.81% |
AINT vs. AIUP - Expense Ratio Comparison
AINT has a 1.25% expense ratio, which is higher than AIUP's 0.70% expense ratio.
Dividends
AINT vs. AIUP - Dividend Comparison
Neither AINT nor AIUP has paid dividends to shareholders.
Frequently Asked Questions
AINT and AIUP have a correlation of 0.75, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
On fees, AIUP is cheaper at 0.70% per year. The better choice depends on whether you care most about return, fees, risk, or income.
AIUP is cheaper with a 0.70% expense ratio, compared with 1.25% for AINT.
AINT and AIUP have nearly identical dividend yields, around 0.00%.
AINT is categorized as Equity Market Neutral, while AIUP is Large Cap Blend Equities. Their fees differ too: 1.25% for AINT and 0.70% for AIUP.
Find the right allocation for AINT and AIUP
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