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AGIQ vs. EPAI
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

AGIQ vs. EPAI - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in SoFi Agentic AI ETF (AGIQ) and Harbor AI Inflection Strategy ETF (EPAI). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, AGIQ achieves a 5.61% return, which is significantly lower than EPAI's 30.69% return.


AGIQ

1D
1.95%
1M
-1.21%
6M
6.78%
YTD
5.61%
1Y
3Y*
5Y*
10Y*
ALL TIME*

EPAI

1D
0.91%
1M
-8.20%
6M
17.61%
YTD
30.69%
1Y
3Y*
5Y*
10Y*
ALL TIME*
*Multi-year figures are annualized to reflect compound growth (CAGR)

Liquidity Comparison


PositionAvg. Volume Value (2W)Avg. Volume Value (1M)Avg. Volume Value (3M)
$89.14K$98.01K$199.12K
$21.40K$19.89K$32.98K

AGIQ vs. EPAI - Yearly Performance Comparison


2026 (YTD)2025
AGIQ
SoFi Agentic AI ETF
5.61%1.98%
EPAI
Harbor AI Inflection Strategy ETF
30.69%-0.33%

Correlation

The correlation between AGIQ and EPAI is 0.62, which is moderate. They have sometimes moved together and sometimes differently, sharing some price drivers without tracking each other closely.


Correlation
Correlation (All Time)
Calculated using the full available price history since Dec 18, 2025

0.62

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Return for Risk

AGIQ vs. EPAI - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SoFi Agentic AI ETF (AGIQ) and Harbor AI Inflection Strategy ETF (EPAI). 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.

AGIQ vs. EPAI - Sharpe Ratio Comparison


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Drawdowns

AGIQ vs. EPAI - Drawdown Comparison

The maximum AGIQ drawdown since its inception was -19.72%, smaller than the maximum EPAI drawdown of -23.61%. Use the drawdown chart below to compare losses from any high point for AGIQ and EPAI.


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Drawdown Indicators


AGIQEPAIDifference

Max Drawdown

Largest peak-to-trough decline

-19.72%

-23.61%

+3.89%

Current Drawdown

Current decline from peak

-6.46%

-17.92%

+11.46%

Average Drawdown

Average peak-to-trough decline

-6.27%

-4.26%

-2.01%

Volatility

AGIQ vs. EPAI - Volatility Comparison


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Volatility by Period


AGIQEPAIDifference

Volatility (1Y)

Calculated over the trailing 1-year period

23.79%

36.90%

-13.11%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

23.79%

36.90%

-13.11%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

23.79%

36.90%

-13.11%

AGIQ vs. EPAI - Expense Ratio Comparison

AGIQ has a 0.69% expense ratio, which is lower than EPAI's 0.88% expense ratio.


Dividends

AGIQ vs. EPAI - Dividend Comparison

AGIQ's dividend yield for the trailing twelve months is around 1.91%, while EPAI has not paid dividends to shareholders.


PositionTTM2025
AGIQ
SoFi Agentic AI ETF
1.91%0.38%
EPAI
Harbor AI Inflection Strategy ETF
0.00%0.00%

Frequently Asked Questions


AGIQ and EPAI have a correlation of 0.62, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, AGIQ is cheaper at 0.69% per year. The better choice depends on whether you care most about return, fees, risk, or income.

AGIQ is cheaper with a 0.69% expense ratio, compared with 0.88% for EPAI.

AGIQ has the higher dividend yield at 1.91%, compared with 0.00% for EPAI.

AGIQ is categorized as Artificial Intelligence, while EPAI is Technology Equities. They also come from different issuers: SoFi and Harbor. Their fees differ too: 0.69% for AGIQ and 0.88% for EPAI.

Portfolio Optimizer

Find the right allocation for AGIQ and EPAI

Add both to a portfolio and optimize allocations for your target — whether that's maximizing returns, minimizing drawdowns, or balancing risk across holdings.

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