Investors seeking amplified exposure to U.S. technology and internet themes often evaluate leveraged ETFs like TECL and WEBL. These products do not compete directly as identical substitutes but offer differentiated leveraged strategies within the broader technology and digital sectors. TECL delivers broad technology sector leverage, while WEBL targets internet-specific companies. In the current environment of ongoing digital transformation and artificial intelligence adoption, both ETFs provide tools for expressing short-term views on sector momentum, though their daily-reset structure demands active monitoring.
TECL seeks daily investment results, before fees and expenses, of 300% of the performance of the Technology Select Sector Index. The fund is passively managed and non-diversified, utilizing swap agreements and other derivatives for synthetic exposure. It holds approximately 70-90 positions, dominated by cash equivalents and index swaps, with equity exposure concentrated in large-cap technology names. Top holdings typically include NVDA, AAPL, MSFT, AVGO, and MU. Sector allocation centers on semiconductors and semiconductor equipment (around 50%), software, and technology hardware. The net expense ratio stands at 0.87%. Launched in 2008, TECL resets exposure daily and carries the inherent risks of leveraged products.
WEBL seeks daily investment results, before fees and expenses, of 300% of the performance of the Dow Jones Internet Composite Index. Like TECL, it is passively managed and non-diversified, relying on swaps for leveraged exposure. The fund typically maintains around 40-50 holdings, primarily cash and derivatives, with equity weightings in internet-focused firms. Prominent holdings include AMZN, META, CSCO, GOOGL, and ANET. Sector weights emphasize interactive media and services, communications equipment, application software, and broadline retail. The net expense ratio is 0.96%. Introduced in 2019, WEBL also features daily rebalancing and is designed for short-term use.
The technology and internet sectors continue to benefit from structural tailwinds including artificial intelligence integration, cloud computing expansion, and e-commerce growth. Macroeconomic factors such as interest rate trajectories influence capital allocation toward growth-oriented technology names. Regulatory scrutiny around data privacy, antitrust, and semiconductor supply chains presents ongoing considerations. Both ETFs' underlying indices reflect capital flows into digital infrastructure and online platforms, though TECL captures a wider array of hardware and semiconductor producers while WEBL isolates internet commerce and services. Sector risks include valuation compression in high-growth areas and sensitivity to shifts in corporate spending.
Over recent market cycles, TECL has exhibited higher sensitivity to semiconductor cycles and broad technology earnings, often amplifying moves in chipmakers and hardware suppliers. WEBL has shown pronounced responses to internet advertising trends, consumer online spending, and platform-specific developments. Both products demonstrate elevated volatility characteristic of 3x daily leverage, with performance diverging based on sector rotation between hardware-centric and services-centric technology subsectors. TECL's broader index may provide more consistent exposure during general technology rallies, while WEBL can capture outsized moves in internet-specific themes. Relative positioning favors TECL for diversified technology leverage and WEBL for targeted internet thematic bets.
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 comparing leveraged technology ETFs may find value in using the tool to uncover additional opportunities aligned with their strategies.
Based on observable structural factors, Tickeron’s AI would currently assign a higher probability of favor to TECL. The ETF offers lower costs, broader technology sector exposure with strong semiconductor representation, greater liquidity, and a longer operating history. WEBL provides valuable narrow internet thematic leverage but carries a higher expense ratio and narrower focus. Selection ultimately depends on an investor’s specific thesis regarding technology subsectors and risk tolerance for daily-reset leveraged products.
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| TECL | WEBL | TECL / WEBL | |
| Gain YTD | 75.679 | 5.177 | 1,462% |
| Net Assets | 5.67B | 92.8M | 6,113% |
| Total Expense Ratio | 0.87 | 0.96 | 91% |
| Turnover | 94.00 | 60.00 | 157% |
| Yield | 0.15 | 0.14 | 106% |
| Fund Existence | 18 years | 7 years | - |
| TECL | WEBL | |
|---|---|---|
| RSI ODDS (%) | N/A | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 4 days ago 90% | 10 days ago 90% |
| Declines ODDS (%) | 11 days ago 89% | 5 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | N/A |
| Aroon ODDS (%) | 4 days ago 88% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| RIOX | 27.34 | 1.34 | +5.15% |
| Tidal Trust II Defiance Daily Target 2X Long RIOT ETF | |||
| KSTR | 22.56 | 0.29 | +1.30% |
| KraneShares CHN Tech & Semicon STAR50ETF | |||
| BKEM | 30.86 | 0.34 | +1.11% |
| BNY Mellon Emerging Markets Equity ETF | |||
| TMFC | 79.18 | 0.72 | +0.92% |
| Motley Fool 100 ETF | |||
| UCIB | 38.20 | -0.97 | -2.46% |
| UBS ETRACS BgCstMtCdy(CMCI)TtlRetETNSerB | |||
A.I.dvisor indicates that over the last year, TECL has been loosely correlated with GLW. These tickers have moved in lockstep 64% of the time. This A.I.-generated data suggests there is some statistical probability that if TECL jumps, then GLW could also see price increases.
| Ticker / NAME | Correlation To TECL | 1D Price Change % | ||
|---|---|---|---|---|
| TECL | 100% | +3.90% | ||
| GLW - TECL | 64% Loosely correlated | +2.01% | ||
| KEYS - TECL | 61% Loosely correlated | +3.99% | ||
| ANET - TECL | 59% Loosely correlated | +5.61% | ||
| APH - TECL | 56% Loosely correlated | +4.57% | ||
| HPE - TECL | 54% Loosely correlated | +12.44% | ||
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A.I.dvisor indicates that over the last year, WEBL has been loosely correlated with CVNA. These tickers have moved in lockstep 54% of the time. This A.I.-generated data suggests there is some statistical probability that if WEBL jumps, then CVNA could also see price increases.
| Ticker / NAME | Correlation To WEBL | 1D Price Change % | ||
|---|---|---|---|---|
| WEBL | 100% | +3.57% | ||
| CVNA - WEBL | 54% Loosely correlated | -1.59% | ||
| NET - WEBL | 53% Loosely correlated | -1.49% | ||
| GTM - WEBL | 53% Loosely correlated | N/A | ||
| SNOW - WEBL | 52% Loosely correlated | -0.22% | ||
| W - WEBL | 52% Loosely correlated | +1.15% | ||
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