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XTL vs. FMET
Performance
Return for Risk
Drawdowns
Volatility
Dividends

Performance

XTL vs. FMET - Performance Comparison

The chart below illustrates the hypothetical performance of a $10,000 investment in SPDR S&P Telecom ETF (XTL) and Fidelity Metaverse ETF (FMET). The values are adjusted to include any dividend payments, if applicable.

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Returns By Period

In the year-to-date period, XTL achieves a 62.17% return, which is significantly higher than FMET's 11.46% return.


XTL

1D
3.28%
1M
8.43%
YTD
62.17%
6M
70.46%
1Y
143.57%
3Y*
50.79%
5Y*
20.95%
10Y*
16.95%

FMET

1D
0.18%
1M
9.41%
YTD
11.46%
6M
11.72%
1Y
30.24%
3Y*
17.27%
5Y*
10Y*
*Multi-year figures are annualized to reflect compound growth (CAGR)

XTL vs. FMET - Yearly Performance Comparison


2026 (YTD)2025202420232022
XTL
SPDR S&P Telecom ETF
62.17%44.95%34.89%-1.17%-7.35%
FMET
Fidelity Metaverse ETF
11.46%21.93%6.76%39.18%-16.56%

Correlation

The correlation between XTL and FMET is 0.62, which is moderate. They share some common price drivers but move independently often enough to provide real diversification benefit when combined.


Correlation
Correlation (1Y)
Calculated over the trailing 1-year period

0.62

Correlation (3Y)
Calculated over the trailing 3-year period

0.61

Correlation (All Time)
Calculated using the full available price history since Apr 22, 2022

0.64

The correlation between XTL and FMET has been stable across timeframes, ranging from 0.61 to 0.64 - a consistent structural relationship.

XTL vs. FMET - Sectors Allocation Comparison


Sectors
XTL
FMET

Technology

61.4%
56.5%

Communication Services

36.1%
35.2%

Real Estate

2.6%
8.3%

Basic Materials

-

-

Consumer Cyclical

-

-

Consumer Defensive

-

-

Energy

-

-

Financial Services

-

-

Healthcare

-

-

Industrials

-

-

Utilities

-

-

Technology

XTL
61.4%
FMET
56.5%

Communication Services

XTL
36.1%
FMET
35.2%

Real Estate

XTL
2.6%
FMET
8.3%

Basic Materials

XTL

-

FMET

-

Consumer Cyclical

XTL

-

FMET

-

Consumer Defensive

XTL

-

FMET

-

Energy

XTL

-

FMET

-

Financial Services

XTL

-

FMET

-

Healthcare

XTL

-

FMET

-

Industrials

XTL

-

FMET

-

Utilities

XTL

-

FMET

-

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Return for Risk

XTL vs. FMET — Risk / Return Rank

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

XTL
XTL Risk / Return Rank: 9696
Overall Rank
XTL Sharpe Ratio Rank: 9797
Sharpe Ratio Rank
XTL Sortino Ratio Rank: 9595
Sortino Ratio Rank
XTL Omega Ratio Rank: 9494
Omega Ratio Rank
XTL Calmar Ratio Rank: 9696
Calmar Ratio Rank
XTL Martin Ratio Rank: 9797
Martin Ratio Rank

FMET
FMET Risk / Return Rank: 3636
Overall Rank
FMET Sharpe Ratio Rank: 4444
Sharpe Ratio Rank
FMET Sortino Ratio Rank: 4242
Sortino Ratio Rank
FMET Omega Ratio Rank: 4343
Omega Ratio Rank
FMET Calmar Ratio Rank: 2828
Calmar Ratio Rank
FMET Martin Ratio Rank: 2626
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.

XTL vs. FMET - Risk-Adjusted Trends Comparison

This table presents a comparison of risk-adjusted performance metrics for SPDR S&P Telecom ETF (XTL) and Fidelity Metaverse ETF (FMET). 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.


XTLFMETDifference

Sharpe ratio

Return per unit of total volatility

5.02

1.56

+3.46

Sortino ratio

Return per unit of downside risk

5.29

2.16

+3.13

Omega ratio

Gain probability vs. loss probability

1.70

1.28

+0.42

Calmar ratio

Return relative to maximum drawdown

9.91

1.39

+8.52

Martin ratio

Return relative to average drawdown

45.66

3.70

+41.96

XTL vs. FMET - Sharpe Ratio Comparison

The current XTL Sharpe Ratio is 5.02, which is higher than the FMET Sharpe Ratio of 1.56. The chart below compares the historical Sharpe Ratios of XTL and FMET, calculated using daily returns over the previous 12 months. A higher Sharpe Ratio indicates better risk-adjusted performance relative to the risk-free rate.


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Sharpe Ratios by Period


XTLFMETDifference

Sharpe Ratio (1Y)

Calculated over the trailing 1-year period

5.02

1.56

+3.46

Sharpe Ratio (5Y)

Calculated over the trailing 5-year period

0.84

Sharpe Ratio (10Y)

Calculated over the trailing 10-year period

0.72

Sharpe Ratio (All Time)

Calculated using the full available price history

0.54

0.56

-0.02

Drawdowns

XTL vs. FMET - Drawdown Comparison

The maximum XTL drawdown since its inception was -37.01%, which is greater than FMET's maximum drawdown of -29.22%. Use the drawdown chart below to compare losses from any high point for XTL and FMET.


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Drawdown Indicators


XTLFMETDifference

Max Drawdown

Largest peak-to-trough decline

-37.01%

-29.22%

-7.79%

Max Drawdown (1Y)

Largest decline over 1 year

-14.70%

-23.00%

+8.30%

Max Drawdown (3Y)

Largest decline over 3 years

-22.79%

-25.02%

+2.23%

Max Drawdown (5Y)

Largest decline over 5 years

-37.01%

Max Drawdown (10Y)

Largest decline over 10 years

-37.01%

Current Drawdown

Current decline from peak

0.00%

0.00%

0.00%

Average Drawdown

Average peak-to-trough decline

-9.77%

-7.48%

-2.29%

Ulcer Index

Depth and duration of drawdowns from previous peaks

3.19%

8.63%

-5.44%

Volatility

XTL vs. FMET - Volatility Comparison

SPDR S&P Telecom ETF (XTL) has a higher volatility of 8.05% compared to Fidelity Metaverse ETF (FMET) at 5.87%. This indicates that XTL's price experiences larger fluctuations and is considered to be riskier than FMET based on this measure. The chart below showcases a comparison of their rolling one-month volatility.


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Volatility by Period


XTLFMETDifference

Volatility (1M)

Calculated over the trailing 1-month period

8.05%

5.87%

+2.18%

Volatility (6M)

Calculated over the trailing 6-month period

22.61%

14.67%

+7.94%

Volatility (1Y)

Calculated over the trailing 1-year period

28.78%

19.48%

+9.30%

Volatility (5Y)

Calculated over the trailing 5-year period, annualized

25.04%

24.20%

+0.84%

Volatility (10Y)

Calculated over the trailing 10-year period, annualized

23.51%

24.20%

-0.69%

XTL vs. FMET - Expense Ratio Comparison

XTL has a 0.35% expense ratio, which is lower than FMET's 0.39% expense ratio.


Dividends

XTL vs. FMET - Dividend Comparison

XTL's dividend yield for the trailing twelve months is around 0.80%, more than FMET's 0.50% yield.


PositionTTM20252024202320222021202020192018201720162015
FMET
Fidelity Metaverse ETF
0.50%0.81%0.44%0.40%0.18%0.00%0.00%0.00%0.00%0.00%0.00%0.00%
XTL
SPDR S&P Telecom ETF
0.80%1.05%0.62%0.80%0.74%1.25%0.88%0.92%1.90%2.08%1.11%1.38%

Frequently Asked Questions


XTL and FMET 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.

XTL has higher volatility (8.05%) compared to FMET (5.87%). In terms of maximum drawdown, XTL dropped -37.01% vs FMET's -29.22%.

On 3-year performance, XTL leads with 50.79% vs 17.27% for FMET. On fees, XTL is cheaper at 0.35% per year. On volatility, FMET has been the lower-risk option at 5.87%. The better choice depends on whether you care most about return, fees, risk, or income.

Over the 3-year period, XTL has performed better with a 50.79% return vs 17.27%. Past performance does not guarantee future results, so compare this with risk, fees, and fund exposure.

XTL is cheaper with a 0.35% expense ratio, compared with 0.39% for FMET.

XTL has the higher dividend yield at 0.80%, compared with 0.50% for FMET.

They also come from different issuers: State Street and Fidelity. Their fees differ too: 0.35% for XTL and 0.39% for FMET.

XTL currently has the higher Sharpe Ratio (5.02 vs 1.56), meaning it's delivered slightly more return per unit of risk over the trailing 12 months. However, this ranking shifts over time - use the Risk/Return Score above for a more comprehensive view that combines Sharpe, Sortino, and other measures used by quantitative funds.

Portfolio Optimizer

Find the right allocation for XTL and FMET

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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