Investors looking for exposure to the digital economy often find themselves weighing thematic funds that target related but separate segments of the internet value chain. ESPO and FMET form a natural comparison: both are passive, index-based ETFs with a technology tilt, yet they track different slices of the market. ESPO narrows in on video gaming, esports, and associated hardware, while FMET spans the wider ecosystem supporting the metaverse and next-generation digital experiences, including semiconductors, software, and digital infrastructure. This side-by-side look highlights where the funds align and where they differ, along with how their structures and positioning could influence results over varying market cycles. I also checked this using Tickeron’s AI Screener to see how the two line up against peers.
ESPO is a passively managed thematic ETF that follows the MarketVector Global Video Gaming & eSports Index. That benchmark is market-capitalization-weighted and focuses on global companies with significant revenue from video gaming, esports, and related hardware and services. The fund typically holds 25 to 29 names, which creates a concentrated portfolio where the top ten holdings can account for roughly 60% of net assets.
Historical top holdings have included Tencent Holdings, Nintendo, NetEase (NTES), Electronic Arts (EA), Take-Two Interactive (TTWO), Roblox (RBLX), Aristocrat Leisure, Nexon, Capcom, Konami, and Unity Software (U). Sector exposure centers on Communication Services and Information Technology, with notable international and emerging-markets representation. The fund has a net expense ratio of 0.55% and rebalances the index on a semi-annual basis.
FMET is a passively managed thematic ETF that tracks the Fidelity Metaverse Index. This market-capitalization-weighted index covers global companies involved in developing, manufacturing, distributing, or selling products and services tied to the metaverse. The fund holds roughly 60–66 positions, providing broader diversification than a pure gaming vehicle, with top-ten concentration typically around 44% of assets.
Holdings have historically included Apple (AAPL), Microsoft (MSFT), Alphabet (GOOGL), Meta Platforms (META), NVIDIA (NVDA), Advanced Micro Devices (AMD), Qualcomm (QCOM), Adobe (ADBE), Equinix (EQIX), and Digital Realty Trust (DLR), as well as non-U.S. names such as Samsung Electronics and Tencent. Sector weights lean toward Information Technology (roughly 53%), Communication Services (roughly 37%), and Real Estate (roughly 8%). The net expense ratio is 0.39%, and about three-quarters of assets are in U.S. equities. From what I see, the lower fee and wider spread of holdings give FMET a noticeable edge in cost efficiency.
Both funds operate where consumer technology, artificial intelligence, and digital entertainment intersect—an area marked by fast innovation and sensitivity to valuations. The gaming sector continues to draw support from mobile growth, live-service models, and cloud gaming, while the metaverse theme has expanded into AI infrastructure, semiconductors, and digital content tools. I’m watching this closely because catalysts such as AI-related capital spending, game franchise releases, regulatory pressures on large platforms, and interest-rate shifts all influence these holdings. Concentration risk and thematic volatility stand out as the main structural concerns.
Over recent cycles the two funds have behaved differently despite their thematic overlap. FMET’s emphasis on mega-cap technology, semiconductors, and AI infrastructure has helped it capture broader technology gains, with its large-cap, U.S.-heavy stance contributing to relatively lower idiosyncratic volatility. ESPO, by comparison, responds more directly to individual game publishers’ earnings and sentiment around gaming monetization, which can lead to more variable and often higher-volatility returns. Geographic differences add another layer: ESPO’s larger emerging-market and international weighting brings foreign-exchange and regional risks, while FMET is more tied to U.S. policy and mega-cap multiples. In my view, the decision comes down to an investor’s tolerance for concentration, geographic preferences, and sensitivity to fees.
When I compare funds like these, I often turn to Tickeron’s AI-powered tools to cross-check structural differences and trend signals. The AI Screener lets me filter ETFs by holdings count, expense ratios, sector weights, and geographic exposure in a single view, which helps confirm the diversification and cost advantages I noted earlier. It’s become a regular part of my process for keeping these analyses grounded in data rather than intuition alone.
Based on the structural details, Tickeron’s AI currently favors FMET over ESPO. FMET combines a lower expense ratio, wider diversification across roughly 60–66 holdings, and greater weight in mega-cap technology and AI-related infrastructure names that have shown steadier momentum. Its lower top-ten concentration and U.S.-centric large-cap tilt also suggest smoother relative positioning. ESPO delivers purer exposure to gaming and esports but comes with higher concentration risk, a higher fee, and greater emerging-market and currency sensitivity. The assessment rests on cost efficiency, diversification, and trend consistency rather than a specific return forecast.
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The Moving Average Convergence Divergence (MACD) for ESPO turned positive on November 05, 2026. Looking at past instances where ESPO's MACD turned positive, the stock continued to rise in 46 of 51 cases over the following month. The odds of a continued upward trend are 90%.
The Momentum Indicator moved above the 0 level on November 05, 2026. You may want to consider a long position or call options on ESPO as a result. In 64 of 77 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 83%.
ESPO moved above its 50-day moving average on November 04, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for ESPO crossed bullishly above the 50-day moving average on October 09, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In 10 of 11 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are 90%.
Following a +5.71% 3-day Advance, the price is estimated to grow further. Considering data from situations where ESPO advanced for three days, in 280 of 331 cases, the price rose further within the following month. The odds of a continued upward trend are 85%.
ESPO may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Aroon Indicator entered an Uptrend today. In 209 of 239 cases where ESPO Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 87%.
The 10-day RSI Indicator for ESPO moved out of overbought territory on November 10, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 43 similar instances where the indicator moved out of overbought territory. In 38 of the 43 cases, the stock moved lower in the following days. This puts the odds of a move lower at 88%.
The Stochastic Oscillator has been in the overbought zone for 2 days. Expect a price pull-back in the near future.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where ESPO 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 84%.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows