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AGIQ vs. SFY
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

AGIQ vs. SFY - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in SoFi Agentic AI ETF (AGIQ) and SoFi Select 500 ETF (SFY). 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 7.36% return, which is significantly lower than SFY's 13.74% return.


AGIQ

1D
-0.48%
1M
2.91%
6M
3.36%
YTD
7.36%
1Y
3Y*
5Y*
10Y*

SFY

1D
0.51%
1M
2.10%
6M
11.92%
YTD
13.74%
1Y
26.60%
3Y*
25.30%
5Y*
14.56%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

AGIQ vs. SFY - Yearly Performance Comparison


2026 (YTD)2025
AGIQ
SoFi Agentic AI ETF
7.36%13.79%
SFY
SoFi Select 500 ETF
13.74%8.12%

Correlation

The correlation between AGIQ and SFY 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 Sep 3, 2025

0.84

AGIQ vs. SFY - Sectors Allocation Comparison


Sectors
AGIQ
SFY

Technology

56.0%
44.1%

Industrials

14.9%
5.9%

Healthcare

13.4%
10.6%

Consumer Cyclical

9.5%
7.7%

Communication Services

6.0%
9.7%

Basic Materials

-

1.7%

Consumer Defensive

-

3.2%

Energy

-

2.0%

Financial Services

-

11.1%

Real Estate

-

1.5%

Utilities

-

2.1%

Technology

AGIQ
56.0%
SFY
44.1%

Industrials

AGIQ
14.9%
SFY
5.9%

Healthcare

AGIQ
13.4%
SFY
10.6%

Consumer Cyclical

AGIQ
9.5%
SFY
7.7%

Communication Services

AGIQ
6.0%
SFY
9.7%

Basic Materials

AGIQ

-

SFY
1.7%

Consumer Defensive

AGIQ

-

SFY
3.2%

Energy

AGIQ

-

SFY
2.0%

Financial Services

AGIQ

-

SFY
11.1%

Real Estate

AGIQ

-

SFY
1.5%

Utilities

AGIQ

-

SFY
2.1%

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Return for Risk

AGIQ vs. SFY — Risk / Return Rank

Compare risk-adjusted metric ranks to identify better-performing investments over the past 12 months.

AGIQ

Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.


SFY
SFY Risk / Return Rank: 6363
Overall Rank
SFY Sharpe Ratio Rank: 6464
Sharpe Ratio Rank
SFY Sortino Ratio Rank: 5959
Sortino Ratio Rank
SFY Omega Ratio Rank: 6161
Omega Ratio Rank
SFY Calmar Ratio Rank: 6161
Calmar Ratio Rank
SFY Martin Ratio Rank: 6767
Martin Ratio Rank
The rank (0–100) shows how this investment's returns compare to the risk taken. Higher = better. Based on the past 12 months of data, combining Sharpe, Sortino, and other metrics used by quantitative funds and institutional investors.

AGIQ vs. SFY - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SoFi Agentic AI ETF (AGIQ) and SoFi Select 500 ETF (SFY). 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.


AGIQSFYDifference
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

2.44

Martin ratioReturn relative to average drawdown

9.75

AGIQ vs. SFY - Sharpe Ratio Comparison


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Drawdowns

AGIQ vs. SFY - Drawdown Comparison

The maximum AGIQ drawdown since its inception was -19.72%, smaller than the maximum SFY drawdown of -33.25%. Use the drawdown chart below to compare losses from any high point for AGIQ and SFY.


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Drawdown Indicators


AGIQSFYDifference

Max Drawdown

Largest peak-to-trough decline

-19.72%

-33.25%

+13.53%

Max Drawdown (1Y)

Largest decline over 1 year

-10.79%

Max Drawdown (3Y)

Largest decline over 3 years

-21.04%

Max Drawdown (5Y)

Largest decline over 5 years

-27.72%

Current Drawdown

Current decline from peak

-4.90%

-1.69%

-3.21%

Average Drawdown

Average peak-to-trough decline

-6.20%

-6.14%

-0.06%

Ulcer Index

Depth and duration of drawdowns from previous peaks

2.70%

Volatility

AGIQ vs. SFY - Volatility Comparison


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Volatility by Period


AGIQSFYDifference

Volatility (1M)

Calculated over the trailing 1-month period

5.82%

Volatility (6M)

Calculated over the trailing 6-month period

12.62%

Volatility (1Y)

Calculated over the trailing 1-year period

24.15%

15.66%

+8.49%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

24.15%

19.23%

+4.92%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

24.15%

20.22%

+3.93%

AGIQ vs. SFY - Expense Ratio Comparison

AGIQ has a 0.69% expense ratio, which is higher than SFY's 0.00% expense ratio.


Dividends

AGIQ vs. SFY - Dividend Comparison

AGIQ's dividend yield for the trailing twelve months is around 1.88%, more than SFY's 0.83% yield.


PositionTTM2025202420232022202120202019
AGIQ
SoFi Agentic AI ETF
1.88%0.38%0.00%0.00%0.00%0.00%0.00%0.00%
SFY
SoFi Select 500 ETF
0.83%0.96%0.99%1.40%1.61%0.90%1.18%1.02%

Frequently Asked Questions


AGIQ and SFY 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, SFY is cheaper at 0.00% per year. The better choice depends on whether you care most about return, fees, risk, or income.

SFY is cheaper with a 0.00% expense ratio, compared with 0.69% for AGIQ.

AGIQ has the higher dividend yield at 1.88%, compared with 0.83% for SFY.

AGIQ is categorized as Technology Equities, while SFY is Large Cap Growth Equities. AGIQ tracks BITA US Agentic AI Select Index, while SFY tracks Solactive SoFi US 500 Growth Index. Their fees differ too: 0.69% for AGIQ and 0.00% for SFY.

Portfolio Optimizer

Find the right allocation for AGIQ and SFY

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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