ARKW, ESPO, and XLK represent distinct approaches to technology and innovation investing. ARKW employs active management to target next-generation internet themes, ESPO tracks a specialized global index for video gaming and eSports, and XLK delivers broad exposure to the U.S. technology sector. These ETFs do not track identical indexes but compete within overlapping technology and growth-oriented spaces, offering investors tiered risk exposures and strategic variations ranging from concentrated thematic bets to diversified sector participation.
The ARK Next Generation Internet ETF (ARKW) is an actively managed thematic fund seeking long-term capital appreciation by investing in companies driving innovation in next-generation internet technologies. It does not track a specific index. The fund typically holds 35–55 positions, with notable concentration in top holdings such as Advanced Micro Devices and Tesla. Sector allocations emphasize technology and consumer discretionary areas. Its expense ratio stands at 0.76%. Distinguishing features include ARK Invest’s active research-driven selection process and focus on disruptive innovation themes.
The VanEck Video Gaming and eSports ETF (ESPO) is a passive ETF designed to track the MVIS Global Video Gaming and eSports Index before fees and expenses. It holds approximately 26 securities, with top holdings concentrated in companies such as NetEase, Electronic Arts, and Tencent. Allocations center on communication services and related sectors tied to gaming and esports. The expense ratio is 0.55%. Key characteristics include its rules-based index methodology and targeted exposure to the global video gaming ecosystem.
The Technology Select Sector SPDR ETF (XLK) is a passive fund that seeks to replicate the performance of the Technology Select Sector Index. It typically contains 73–75 holdings, led by major technology firms such as NVIDIA, Apple, and Microsoft. Sector exposure is overwhelmingly in technology, with minor allocations elsewhere. The expense ratio is 0.08%. Distinguishing elements include its broad market-cap-weighted structure, high liquidity, and role as a core technology sector building block.
The technology sector continues to experience capital inflows driven by advancements in artificial intelligence, cloud computing, and digital entertainment. Macroeconomic factors such as interest rate trends and earnings growth among large-cap technology companies influence all three ETFs. Regulatory developments around data privacy, antitrust scrutiny, and content moderation, along with geopolitical tensions affecting global supply chains, represent ongoing sector risks. Earnings momentum in hardware, software, and gaming segments supports thematic interest, while broader market cycles affect risk appetite for concentrated versus diversified exposures.
In recent market cycles, XLK has demonstrated more stable trend consistency due to its broad diversification and lower volatility profile compared with the more concentrated ARKW and ESPO. ARKW’s active approach can lead to greater sensitivity to momentum shifts in innovation themes, while ESPO’s gaming focus introduces exposure to consumer discretionary spending patterns. Drawdowns may vary based on concentration risk, with XLK generally exhibiting lower sensitivity to single-theme disruptions. Performance differences stem from structural variations: active selection in ARKW versus index replication in ESPO and XLK, and sector breadth in XLK versus thematic specificity in the others.
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 helps identify trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening. Investors seeking data-driven insights into ETFs like ARKW, ESPO, and XLK can leverage this platform for efficient market analysis.
Based on observable structural strength, diversification profile, cost efficiency, momentum stability, and risk-adjusted positioning, Tickeron’s AI would currently assign the highest probability of favorable relative positioning to XLK. Its low expense ratio, broad holdings, and sector-wide exposure provide a balanced foundation less susceptible to concentration-driven volatility, though individual investor objectives may favor the thematic specificity of ARKW or ESPO in certain environments.
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.
| ARKW | ESPO | XLK | |
| Gain YTD | -4.529 | -14.869 | 28.088 |
| Net Assets | 1.64B | 239M | 118B |
| Total Expense Ratio | 0.76 | 0.55 | 0.08 |
| Turnover | 44.00 | 53.00 | 5.00 |
| Yield | 1.53 | 1.44 | 0.40 |
| Fund Existence | 12 years | 8 years | 28 years |
| ARKW | ESPO | XLK | |
|---|---|---|---|
| RSI ODDS (%) | 1 day ago 77% | N/A | 1 day ago 72% |
| Stochastic ODDS (%) | 1 day ago 86% | 1 day ago 80% | 1 day ago 84% |
| Momentum ODDS (%) | 1 day ago 88% | 1 day ago 83% | N/A |
| MACD ODDS (%) | 1 day ago 83% | 1 day ago 88% | 1 day ago 88% |
| TrendWeek ODDS (%) | 1 day ago 88% | 1 day ago 83% | 1 day ago 83% |
| TrendMonth ODDS (%) | 1 day ago 89% | 1 day ago 82% | 1 day ago 89% |
| Advances ODDS (%) | 9 days ago 90% | 8 days ago 84% | 8 days ago 88% |
| Declines ODDS (%) | 5 days ago 88% | 5 days ago 84% | 5 days ago 81% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 83% | 1 day ago 90% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 86% | 1 day ago 90% |
A.I.dvisor indicates that over the last year, ARKW has been closely correlated with COIN. These tickers have moved in lockstep 81% of the time. This A.I.-generated data suggests there is a high statistical probability that if ARKW jumps, then COIN could also see price increases.
| Ticker / NAME | Correlation To ARKW | 1D Price Change % | ||
|---|---|---|---|---|
| ARKW | 100% | +2.25% | ||
| COIN - ARKW | 81% Closely correlated | +6.37% | ||
| HOOD - ARKW | 76% Closely correlated | +3.12% | ||
| PLTR - ARKW | 66% Loosely correlated | +0.69% | ||
| OPEN - ARKW | 65% Loosely correlated | -2.49% | ||
| ROKU - ARKW | 63% Loosely correlated | +1.07% | ||
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A.I.dvisor indicates that over the last year, ESPO has been loosely correlated with NVDA. These tickers have moved in lockstep 62% of the time. This A.I.-generated data suggests there is some statistical probability that if ESPO jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To ESPO | 1D Price Change % | ||
|---|---|---|---|---|
| ESPO | 100% | +0.10% | ||
| NVDA - ESPO | 62% Loosely correlated | +1.73% | ||
| U - ESPO | 55% Loosely correlated | -1.27% | ||
| NTES - ESPO | 53% Loosely correlated | -0.68% | ||
| SF - ESPO | 51% Loosely correlated | -0.55% | ||
| BILI - ESPO | 50% Loosely correlated | +2.81% | ||
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A.I.dvisor indicates that over the last year, XLK has been closely correlated with NOW. These tickers have moved in lockstep 97% of the time. This A.I.-generated data suggests there is a high statistical probability that if XLK jumps, then NOW could also see price increases.