FTXL, IYW, and VGT represent tiered approaches to the booming U.S. technology landscape, where AI infrastructure and data center expansion dominate capital flows. FTXL delivers concentrated semiconductor exposure through a factor-based strategy, ideal for capturing chip cycle upswings. In contrast, IYW and VGT track broad technology indexes, with IYW favoring large-cap leaders via a capped market-cap methodology and VGT encompassing large-, mid-, and small-cap names for enhanced diversification. These ETFs compete in a sector propelled by generative AI demand but diverge in risk profiles: FTXL's niche tilt amplifies volatility, while IYW and VGT offer scaled stability. Comparing them aids investors navigating tech's structural growth amid macroeconomic shifts like interest rate trajectories and supply chain onshoring.
The First Trust Nasdaq Semiconductor ETF (FTXL) seeks investment results tracking the Nasdaq U.S. Smart Semiconductor Index, a multi-factor benchmark selecting liquid U.S. semiconductor companies based on value, volatility, and growth metrics. Launched in 2016, it holds approximately 35 stocks, fostering concentration with top holdings including INTC (~14%), MU (~9%), QCOM (~8%), AVGO (~7%), and NVDA (~6-7%), comprising over 60% of assets. Sector allocation is nearly 100% semiconductors within technology. The expense ratio is 0.60%, reflecting its smart beta (factor-weighted) passive structure. FTXL rebalances periodically to maintain factor tilts, emphasizing liquidity and capitalization within the subsector for targeted purity over broad diversification.
The iShares U.S. Technology ETF (IYW) tracks the Russell 1000 Technology RIC 22.5/45 Capped Index, a modified market-cap weighted benchmark of large- and mid-cap U.S. technology equities with concentration caps to limit dominance. Inception in 2000, it features 139 holdings, with top positions dominated by NVDA (~16%), AAPL (~14%), Alphabet Class A (~8%), Alphabet Class C (~6%), and MSFT (~4%), accounting for ~64% of the portfolio. Allocation skews heavily to software, semiconductors, and hardware. Expense ratio stands at 0.38%, supporting its passive, cap-constrained strategy that mitigates extreme mega-cap risk while prioritizing sector leaders.
The Vanguard Information Technology ETF (VGT) follows the MSCI US Investable Market Information Technology 25/50 Index, capturing large-, mid-, and small-cap U.S. information technology stocks with issuer weight caps. Since 2004, it maintains 317-324 holdings for broad exposure, led by NVDA (~19%), AAPL (~16%), MSFT (~10%), AVGO (~4%), and MU (~2%), totaling ~59%. Subsector breakdown includes semiconductors (~34%), technology hardware (~19%), systems software (~15%), and application software (~11%). With a low 0.09% expense ratio, VGT employs full replication or sampling for its passive, non-diversified structure, offering liquidity and comprehensive sector representation.
The technology and semiconductor sectors underpinning FTXL, IYW, and VGT face a transformative environment driven by AI infrastructure buildout. Hyperscalers' capital expenditures exceed $100 billion quarterly, funneling into high-bandwidth memory (HBM), GPUs, and accelerators, propelling semiconductor revenues toward $1 trillion in 2026. Earnings growth in holdings like NVDA and AMD stems from data center demand, though classic markets like PCs lag. Macro drivers include sustained U.S. interest rate stability aiding growth stocks, alongside CHIPS Act subsidies ($52 billion) spurring domestic fabs amid U.S.-China tensions. Geopolitical risks involve export controls on advanced nodes, while sector vulnerabilities encompass supply chain bottlenecks in advanced packaging and energy constraints for data centers. Capital rotates toward AI enablers, rewarding subsector leaders.
In recent months, FTXL has shown elevated volatility tied to semiconductor cycles, outperforming during AI chip rallies but experiencing sharper drawdowns amid supply concerns. IYW, with its large-cap bias, has captured mega-cap momentum from NVDA and AAPL, delivering consistent trends but higher concentration risk. VGT's broader holdings have tempered swings, exhibiting lower relative volatility through mid-cap participation and stability in software/services. Performance divergences arise from FTXL's pure subsector focus amplifying chip demand sensitivity, versus IYW and VGT's diluted exposure to diversified tech earnings. All three trend upward with AI tailwinds, though VGT's scale enhances liquidity and drawdown resilience during macro rotations.
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 (market cap), technical indicators, price patterns, and performance metrics. The screener identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-backed decisions across asset classes. Explore it today to uncover hidden gems in tech and beyond.
Tickeron’s AI currently favors VGT, citing its unmatched cost efficiency (0.09% expense ratio), extensive diversification (317+ holdings), and balanced risk-adjusted profile. These structural edges enable stable momentum capture amid AI-driven cycles, with ~65% modeled probability of outperforming peers over multi-month horizons based on liquidity, lower volatility, and broad exposure.
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.
| FTXL | IYW | VGT | |
| Gain YTD | 88.676 | 17.932 | 19.228 |
| Net Assets | 2.48B | 23.9B | 170B |
| Total Expense Ratio | 0.60 | 0.38 | 0.09 |
| Turnover | 19.00 | 7.00 | 8.00 |
| Yield | 0.13 | 0.11 | 0.32 |
| Fund Existence | 10 years | 26 years | 22 years |
| FTXL | IYW | VGT | |
|---|---|---|---|
| RSI ODDS (%) | 1 day ago 84% | 1 day ago 76% | 1 day ago 72% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 85% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 88% | 1 day ago 81% |
| MACD ODDS (%) | 1 day ago 78% | 1 day ago 73% | 1 day ago 77% |
| TrendWeek ODDS (%) | 1 day ago 85% | 1 day ago 82% | 1 day ago 82% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 87% | 1 day ago 86% |
| Advances ODDS (%) | 9 days ago 88% | 10 days ago 87% | 10 days ago 88% |
| Declines ODDS (%) | 1 day ago 84% | 1 day ago 83% | 1 day ago 81% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 76% | 1 day ago 75% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| SHYM | 22.27 | -0.03 | -0.16% |
| iShares Short Duration HY Muni Act ETF | |||
| UNOV | 39.52 | -0.25 | -0.64% |
| Innovator US Equity Ultra Buffer ETF Nov | |||
| JAVA | 76.69 | -1.15 | -1.48% |
| JPMorgan Active Value ETF | |||
| QMID | 28.38 | -0.49 | -1.69% |
| WisdomTree U.S. Mid Cap Quality Gr | |||
| NVDX | 17.30 | -1.46 | -7.78% |
| T-REX 2X Long NVIDIA Daily Target ETF | |||
A.I.dvisor indicates that over the last year, FTXL has been closely correlated with LRCX. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTXL jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To FTXL | 1D Price Change % | ||
|---|---|---|---|---|
| FTXL | 100% | -3.46% | ||
| LRCX - FTXL | 85% Closely correlated | -1.64% | ||
| AMAT - FTXL | 82% Closely correlated | -0.44% | ||
| MPWR - FTXL | 81% Closely correlated | -3.85% | ||
| KLAC - FTXL | 80% Closely correlated | -0.17% | ||
| MU - FTXL | 78% Closely correlated | -4.70% | ||
More | ||||