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AGIQ vs. FTXL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

AGIQ vs. FTXL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in SoFi Agentic AI ETF (AGIQ) and First Trust Nasdaq Semiconductor ETF (FTXL). 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 10.78% return, which is significantly lower than FTXL's 110.86% return.


AGIQ

1D
-0.24%
1M
11.12%
YTD
10.78%
6M
8.45%
1Y
3Y*
5Y*
10Y*

FTXL

1D
-2.24%
1M
21.46%
YTD
110.86%
6M
111.07%
1Y
214.18%
3Y*
61.46%
5Y*
34.02%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

AGIQ vs. FTXL - Yearly Performance Comparison


2026 (YTD)2025
AGIQ
SoFi Agentic AI ETF
10.78%14.42%
FTXL
First Trust Nasdaq Semiconductor ETF
110.86%33.69%

Correlation

The correlation between AGIQ and FTXL is 0.60, 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 Sep 4, 2025

0.60

AGIQ vs. FTXL - Sectors Allocation Comparison


Sectors
AGIQ
FTXL

Technology

56.0%
99.5%

Industrials

14.9%
0.5%

Healthcare

13.4%

-

Consumer Cyclical

9.5%

-

Communication Services

6.0%

-

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

-

Financial Services

-

-

Real Estate

-

-

Utilities

-

-

Technology

AGIQ
56.0%
FTXL
99.5%

Industrials

AGIQ
14.9%
FTXL
0.5%

Healthcare

AGIQ
13.4%
FTXL

-

Consumer Cyclical

AGIQ
9.5%
FTXL

-

Communication Services

AGIQ
6.0%
FTXL

-

Basic Materials

AGIQ

-

FTXL

-

Consumer Defensive

AGIQ

-

FTXL

-

Energy

AGIQ

-

FTXL

-

Financial Services

AGIQ

-

FTXL

-

Real Estate

AGIQ

-

FTXL

-

Utilities

AGIQ

-

FTXL

-

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Return for Risk

AGIQ vs. FTXL — Risk / Return Rank

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

AGIQ

FTXL
FTXL Risk / Return Rank: 9797
Overall Rank
FTXL Sharpe Ratio Rank: 9898
Sharpe Ratio Rank
FTXL Sortino Ratio Rank: 9696
Sortino Ratio Rank
FTXL Omega Ratio Rank: 9595
Omega Ratio Rank
FTXL Calmar Ratio Rank: 9898
Calmar Ratio Rank
FTXL Martin Ratio Rank: 9898
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. FTXL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SoFi Agentic AI ETF (AGIQ) and First Trust Nasdaq Semiconductor ETF (FTXL). 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.


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

AGIQ vs. FTXL - Sharpe Ratio Comparison


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Sharpe Ratios by Period


AGIQFTXLDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

6.00

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.95

Sharpe Ratio (All Time)

Calculated using the full available price history

1.61

0.93

+0.68

Drawdowns

AGIQ vs. FTXL - Drawdown Comparison

The maximum AGIQ drawdown since its inception was -19.72%, smaller than the maximum FTXL drawdown of -43.87%. Use the drawdown chart below to compare losses from any high point for AGIQ and FTXL.


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Drawdown Indicators


AGIQFTXLDifference

Max Drawdown

Largest peak-to-trough decline

-19.72%

-43.87%

+24.15%

Max Drawdown (1Y)

Largest decline over 1 year

-14.51%

Max Drawdown (3Y)

Largest decline over 3 years

-41.57%

Max Drawdown (5Y)

Largest decline over 5 years

-43.87%

Current Drawdown

Current decline from peak

-1.88%

-2.24%

+0.36%

Average Drawdown

Average peak-to-trough decline

-6.15%

-10.55%

+4.40%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.88%

Volatility

AGIQ vs. FTXL - Volatility Comparison


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Volatility by Period


AGIQFTXLDifference

Volatility (1M)

Calculated over the trailing 1-month period

14.14%

Volatility (6M)

Calculated over the trailing 6-month period

29.04%

Volatility (1Y)

Calculated over the trailing 1-year period

23.17%

35.94%

-12.77%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

23.17%

36.03%

-12.86%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

23.17%

34.25%

-11.08%

AGIQ vs. FTXL - Expense Ratio Comparison

AGIQ has a 0.69% expense ratio, which is higher than FTXL's 0.60% expense ratio.


Dividends

AGIQ vs. FTXL - Dividend Comparison

AGIQ's dividend yield for the trailing twelve months is around 0.34%, more than FTXL's 0.13% yield.


PositionTTM2025202420232022202120202019201820172016
AGIQ
SoFi Agentic AI ETF
0.34%0.38%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
FTXL
First Trust Nasdaq Semiconductor ETF
0.13%0.28%0.54%0.60%0.89%0.25%0.48%0.92%0.71%0.47%0.12%

Frequently Asked Questions


AGIQ and FTXL have a correlation of 0.60, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.

On fees, FTXL is cheaper at 0.60% per year. The better choice depends on whether you care most about return, fees, risk, or income.

FTXL is cheaper with a 0.60% expense ratio, compared with 0.69% for AGIQ.

AGIQ has the higher dividend yield at 0.34%, compared with 0.13% for FTXL.

AGIQ is categorized as Technology Equities, while FTXL is Semiconductors. AGIQ tracks BITA US Agentic AI Select Index, while FTXL tracks Nasdaq U.S. Smart Semiconductor Index. They also come from different issuers: SoFi and First Trust. Their fees differ too: 0.69% for AGIQ and 0.60% for FTXL.

Portfolio Optimizer

Find the right allocation for AGIQ and FTXL

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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