FMET
Price
$38.63Alerts
Change
+$0.83 (+2.20%)
Updated
Nov 11 closing price
Net Assets
40.63M
Intraday BUY SELL Signals
XTL
Price
$188.76Alerts
Change
+$4.33 (+2.35%)
Updated
Nov 11 closing price
Net Assets
377.36M
Intraday BUY SELL Signals
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FMET vs XTL

FMET vs XTL Comparison Chart in %
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A.I.Advisor
Nov 10, 2026

Which ETF would AI Choose? Fidelity Metaverse ETF (FMET) vs. State Street SPDR S&P Telecom ETF (XTL)

Key Takeaways

  • FMET is a global, thematic fund tied to the "metaverse" theme, while XTL is a U.S.-focused telecom equipment and services fund tracking the S&P Telecom Select Industry Index.
  • The two funds overlap in technology and communication services but pursue different strategies: FMET favors large-cap global leaders, whereas XTL uses a modified equal-weight approach tilted toward small- and mid-cap names.
  • XTL is marginally cheaper (0.35% expense ratio vs. 0.39%) but carries higher concentration and volatility risk; FMET offers broader diversification across roughly 65 holdings and multiple regions.
  • Sector exposure differs in quality: FMET leans on mega-cap semiconductors and software, while XTL concentrates in cyclical networking and telecom hardware suppliers.
  • Performance drivers diverge sharply — FMET follows the trajectory of AI and digital-infrastructure giants, while XTL is more sensitive to telecom capital spending cycles.
  • Tickeron AI Verdict: FMET — favored for its superior diversification, lower idiosyncratic risk, and exposure to durable large-cap technology franchises.

Introduction

Investors seeking technology-adjacent growth often compare thematic and industry funds that appear similar on the surface but behave quite differently. FMET and XTL are a useful case study: both are passively managed equity ETFs with heavy technology and communication-services weightings, yet they represent distinct strategies targeting different investor goals. FMET is a forward-looking, globally diversified wager on the evolving internet economy, while XTL is a domestic, equal-weight-style portfolio of telecommunications hardware, software, and service providers. Understanding their structural differences, cost profiles, and risk characteristics is essential for anyone evaluating sector exposure and relative positioning in the current market environment.

Fidelity Metaverse ETF (FMET) Overview

FMET is a passively managed thematic ETF that seeks to track the Fidelity Metaverse Index, a market-capitalization-weighted benchmark of global companies developing, manufacturing, or distributing products and services tied to the emerging "metaverse" ecosystem. The fund holds roughly 65 securities and carries a net expense ratio of 0.39%. Its largest positions read like a who's-who of global technology leaders, including AAPL (Apple), ADBE (Adobe), MSFT (Microsoft), META (Meta Platforms), GOOGL (Alphabet), NVDA (NVIDIA), AMD, and QCOM (Qualcomm), alongside non-U.S. names such as Samsung Electronics and Tencent. Sector allocation is dominated by technology (roughly 54%) and communication services (about 37%), with a smaller real-estate sleeve tied to data-center operators. Geographically, the fund is about three-quarters U.S.-listed but includes meaningful exposure to China and South Korea, making it a genuinely global thematic vehicle.

State Street SPDR S&P Telecom ETF (XTL) Overview

XTL is a passively managed industry ETF that aims to replicate the S&P Telecom Select Industry Index, which represents the telecommunications segment of the broader U.S. total market. Unlike a cap-weighted fund, the index uses a modified equal-weight methodology that redistributes exposure away from a handful of giants and toward a more balanced roster of roughly 40 holdings. Its expense ratio is 0.35%. Top positions typically include CIEN (Ciena), UI (Ubiquiti), VIAV (Viavi Solutions), EXTR (Extreme Networks), ANET (Arista Networks), CSCO (Cisco), MSI (Motorola Solutions), IRDM (Iridium), T (AT&T), and VZ (Verizon). Sector composition skews toward information technology (roughly 59%) and communication services (about 35%), with virtually all holdings U.S.-listed. The equal-weight design, small- and mid-cap tilt, and near-total domestic focus give XTL a distinctly more cyclical and idiosyncratic risk profile than FMET.

Industry and Thematic Backdrop

Both funds sit at the intersection of two powerful investment narratives. FMET is leveraged to the long-term buildout of digital infrastructure — cloud computing, semiconductors, graphics processing, and immersive platforms — themes that have been reinforced by the artificial-intelligence (AI) spending wave and sustained demand for data-center capacity. XTL, by contrast, is more directly exposed to the telecommunications capital-expenditure cycle: fiber network expansion, 5G (fifth-generation wireless) deployment, satellite communications, and enterprise networking gear. That exposure makes XTL sensitive to carrier budgets, supply-chain dynamics, and the funding environment for smaller equipment vendors. Macroeconomic forces such as interest-rate expectations and corporate IT (information technology) spending influence both, but regulatory developments — including spectrum allocation and telecom M&A (mergers and acquisitions) activity — carry outsized relevance for XTL specifically.

Performance and Positioning Comparison

Over recent market cycles, the two funds have exhibited markedly different behavior. FMET's performance has been anchored by the earnings power of its mega-cap constituents, giving it a relatively smoother, quality-driven return profile. XTL has experienced more pronounced swings, reflecting the higher beta and smaller-capitalization nature of its equal-weight holdings; strong rallies in networking and satellite names have periodically produced sharp gains, while cyclical downturns in telecom spending have amplified drawdowns. From a fund performance standpoint, XTL's recent momentum has at times outpaced FMET, but that momentum has come with substantially greater volatility and single-stock risk. Investors weighing relative positioning should recognize that FMET offers broad, global, large-cap exposure, whereas XTL concentrates risk in a narrow domestic niche where individual earnings surprises can move the entire fund.

AI Screener

Tickeron's AI Screener is an AI-powered stock and ETF discovery tool that helps traders and investors filter the market based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. Users can scan thousands of stocks and ETFs using customizable filters such as industry, market capitalization, technical indicators, price patterns, and performance metrics. The screener is designed to surface trade ideas, trending names, breakout candidates, and market opportunities far more efficiently than manual screening. Explore the AI Screener to identify opportunities aligned with your own strategy.

Tickeron AI Verdict

Based on observable structural factors, Tickeron's AI would currently favor FMET. The fund combines broader diversification (roughly 65 global holdings versus about 40 concentrated U.S. names), lower single-stock risk, and exposure to well-capitalized technology franchises with durable cash flows and secular tailwinds. While XTL offers a slightly lower expense ratio and has shown periods of strong cyclical momentum, its equal-weight, small-cap-heavy construction introduces materially higher volatility and idiosyncratic risk. For investors prioritizing structural strength, diversification, and trend consistency within technology and communication services, FMET presents a more balanced risk-reward profile. This assessment is probabilistic in nature and is not intended as personalized investment advice.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

VS
FMET vs. XTL commentary
Nov 12, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is FMET is a Buy and XTL is a Buy.

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SUMMARIES
A.I.Advisor
a Summary for FMET with price predictions
Nov 11, 2026

FMET in upward trend: price rose above 50-day moving average on November 11, 2026

FMET moved above its 50-day moving average on November 11, 2026 date and that indicates a change from a downward trend to an upward trend. In 28 of 30 similar past instances, the stock price increased further within the following month. The odds of a continued upward trend are 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where FMET's RSI Indicator exited the oversold zone, 19 of 22 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 86%.

The Momentum Indicator moved above the 0 level on November 11, 2026. You may want to consider a long position or call options on FMET as a result. In 74 of 83 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 89%.

The Moving Average Convergence Divergence (MACD) for FMET just turned positive on November 11, 2026. Looking at past instances where FMET's MACD turned positive, the stock continued to rise in 34 of 44 cases over the following month. The odds of a continued upward trend are 77%.

Following a +4.12% 3-day Advance, the price is estimated to grow further. Considering data from situations where FMET advanced for three days, in 267 of 310 cases, the price rose further within the following month. The odds of a continued upward trend are 86%.

FMET may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Bearish Trend Analysis

The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.

The 10-day moving average for FMET crossed bearishly below the 50-day moving average on October 23, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 11 of 11 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 90%.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where FMET declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 79%.

The Aroon Indicator for FMET entered a downward trend on November 11, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

A.I.Advisor
a Summary for XTL with price predictions
Nov 11, 2026

XTL's RSI Oscillator recovers from oversold territory

The RSI Oscillator for XTL moved out of oversold territory on November 06, 2026. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 23 similar instances when the indicator left oversold territory. In 22 of the 23 cases the stock moved higher. This puts the odds of a move higher at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 46 of 54 cases where XTL's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 85%.

The Moving Average Convergence Divergence (MACD) for XTL just turned positive on November 11, 2026. Looking at past instances where XTL's MACD turned positive, the stock continued to rise in 47 of 51 cases over the following month. The odds of a continued upward trend are 90%.

Following a +9.00% 3-day Advance, the price is estimated to grow further. Considering data from situations where XTL advanced for three days, in 295 of 354 cases, the price rose further within the following month. The odds of a continued upward trend are 83%.

XTL may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on November 02, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on XTL as a result. In 70 of 80 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 88%.

XTL moved below its 50-day moving average on October 08, 2026 date and that indicates a change from an upward trend to a downward trend.

The 50-day moving average for XTL moved below the 200-day moving average on October 29, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where XTL declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 85%.

The Aroon Indicator for XTL entered a downward trend on November 11, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

TECHNICAL ANALYSIS
Technical Analysis
FMETXTL
RSI
ODDS (%)
Bullish Trend 1 day ago
86%
Bullish Trend 1 day ago
90%
Stochastic
ODDS (%)
Bearish Trend 1 day ago
82%
Bullish Trend 1 day ago
85%
Momentum
ODDS (%)
Bullish Trend 1 day ago
89%
Bearish Trend 1 day ago
88%
MACD
ODDS (%)
Bullish Trend 1 day ago
77%
Bullish Trend 1 day ago
90%
TrendWeek
ODDS (%)
Bullish Trend 1 day ago
87%
Bullish Trend 1 day ago
87%
TrendMonth
ODDS (%)
Bearish Trend 1 day ago
80%
Bearish Trend 1 day ago
88%
Advances
ODDS (%)
Bullish Trend 3 days ago
86%
Bullish Trend 3 days ago
83%
Declines
ODDS (%)
Bearish Trend 10 days ago
79%
Bearish Trend 7 days ago
85%
BollingerBands
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
77%
Aroon
ODDS (%)
Bearish Trend 1 day ago
84%
Bearish Trend 1 day ago
89%
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FMET and

Correlation & Price change

A.I.dvisor indicates that over the last year, FMET has been closely correlated with AMD. These tickers have moved in lockstep 70% of the time. This A.I.-generated data suggests there is a high statistical probability that if FMET jumps, then AMD could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To FMET
1D Price
Change %
FMET100%
+2.20%
AMD - FMET
70%
Closely correlated
+7.32%
QCOM - FMET
62%
Loosely correlated
+1.75%
GDS - FMET
61%
Loosely correlated
+5.65%
NVTS - FMET
60%
Loosely correlated
+7.36%
HIMX - FMET
58%
Loosely correlated
+6.44%
More

XTL and

Correlation & Price change

A.I.dvisor indicates that over the last year, XTL has been closely correlated with CIEN. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if XTL jumps, then CIEN could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To XTL
1D Price
Change %
XTL100%
+2.35%
CIEN - XTL
73%
Closely correlated
+8.80%
ANET - XTL
62%
Loosely correlated
+6.30%
UI - XTL
56%
Loosely correlated
-0.95%
RBBN - XTL
41%
Loosely correlated
+5.00%
CALX - XTL
39%
Loosely correlated
+1.12%
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