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IVES vs. FTXL
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

IVES vs. FTXL - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in Dan IVES Wedbush AI Revolution ETF (IVES) 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, IVES achieves a 27.14% return, which is significantly lower than FTXL's 115.70% return.


IVES

1D
-2.92%
1M
18.28%
YTD
27.14%
6M
24.59%
1Y
3Y*
5Y*
10Y*

FTXL

1D
2.21%
1M
30.59%
YTD
115.70%
6M
113.17%
1Y
225.15%
3Y*
61.52%
5Y*
34.63%
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

IVES vs. FTXL - Yearly Performance Comparison


2026 (YTD)2025
IVES
Dan IVES Wedbush AI Revolution ETF
27.14%25.06%
FTXL
First Trust Nasdaq Semiconductor ETF
115.70%49.00%

Correlation

The correlation between IVES and FTXL is 0.66, 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 Jun 5, 2025

0.66

IVES vs. FTXL - Sectors Allocation Comparison


Sectors
IVES
FTXL

Technology

67.8%
99.5%

Consumer Cyclical

12.9%

-

Communication Services

11.8%

-

Industrials

4.3%
0.5%

Financial Services

1.7%

-

Utilities

1.7%

-

Basic Materials

-

-

Consumer Defensive

-

-

Energy

-

-

Healthcare

-

-

Real Estate

-

-

Technology

IVES
67.8%
FTXL
99.5%

Consumer Cyclical

IVES
12.9%
FTXL

-

Communication Services

IVES
11.8%
FTXL

-

Industrials

IVES
4.3%
FTXL
0.5%

Financial Services

IVES
1.7%
FTXL

-

Utilities

IVES
1.7%
FTXL

-

Basic Materials

IVES

-

FTXL

-

Consumer Defensive

IVES

-

FTXL

-

Energy

IVES

-

FTXL

-

Healthcare

IVES

-

FTXL

-

Real Estate

IVES

-

FTXL

-

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Return for Risk

IVES vs. FTXL — Risk / Return Rank

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

IVES

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: 9696
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.

IVES vs. FTXL - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for Dan IVES Wedbush AI Revolution ETF (IVES) 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.

IVES vs. FTXL - Sharpe Ratio Comparison


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Sharpe Ratios by Period


IVESFTXLDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

6.33

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.97

Sharpe Ratio (All Time)

Calculated using the full available price history

2.32

0.94

+1.38

Drawdowns

IVES vs. FTXL - Drawdown Comparison

The maximum IVES drawdown since its inception was -22.64%, smaller than the maximum FTXL drawdown of -43.87%. Use the drawdown chart below to compare losses from any high point for IVES and FTXL.


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Drawdown Indicators


IVESFTXLDifference

Max Drawdown

Largest peak-to-trough decline

-22.64%

-43.87%

+21.23%

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

-3.69%

0.00%

-3.69%

Average Drawdown

Average peak-to-trough decline

-5.63%

-10.56%

+4.93%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.88%

Volatility

IVES vs. FTXL - Volatility Comparison


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Volatility by Period


IVESFTXLDifference

Volatility (1M)

Calculated over the trailing 1-month period

14.28%

Volatility (6M)

Calculated over the trailing 6-month period

28.98%

Volatility (1Y)

Calculated over the trailing 1-year period

25.77%

35.94%

-10.17%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

25.77%

36.02%

-10.25%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

25.77%

34.25%

-8.48%

IVES vs. FTXL - Expense Ratio Comparison

IVES has a 0.75% expense ratio, which is higher than FTXL's 0.60% expense ratio.


Dividends

IVES vs. FTXL - Dividend Comparison

IVES's dividend yield for the trailing twelve months is around 0.33%, more than FTXL's 0.12% yield.


PositionTTM2025202420232022202120202019201820172016
FTXL
First Trust Nasdaq Semiconductor ETF
0.12%0.28%0.54%0.60%0.89%0.25%0.48%0.92%0.71%0.47%0.12%
IVES
Dan IVES Wedbush AI Revolution ETF
0.33%0.41%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%0.00%

Frequently Asked Questions


IVES and FTXL have a correlation of 0.66, 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 0.75% for IVES.

IVES has the higher dividend yield at 0.33%, compared with 0.12% for FTXL.

IVES is categorized as Technology Equities, while FTXL is Semiconductors. IVES tracks Solactive Wedbush Artificial Intelligence Index, while FTXL tracks Nasdaq U.S. Smart Semiconductor Index. They also come from different issuers: Wedbush and First Trust. Their fees differ too: 0.75% for IVES and 0.60% for FTXL.

Portfolio Optimizer

Find the right allocation for IVES 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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