Comparing FTEC, IYW, and QTUM highlights varying approaches to technology investing amid surging demand for AI infrastructure and computational advancements. FTEC and IYW deliver passive, broad U.S. technology sector exposure through market-cap-weighted indexes, capturing giants like semiconductors and software. In contrast, QTUM targets a specialized thematic niche in quantum computing and machine learning with global reach and modified equal-weighting. These ETFs compete in the high-growth tech space but differ in diversification depth, cost, and risk profiles, appealing to investors seeking core sector bets versus forward-looking disruption plays in recent market cycles.
The Fidelity MSCI Information Technology Index ETF (FTEC) is a passive ETF tracking the MSCI USA IMI (Investable Market Index) Information Technology 25/50 Index, which includes large-, mid-, and small-cap U.S. technology equities. It holds approximately 286 stocks, providing comprehensive sector coverage. Top holdings include NVDA (~19%), AAPL (~14%), MSFT (~10%), with the top 10 comprising ~59% of assets. Nearly 100% allocated to information technology, it features a low expense ratio of 0.08% and quarterly rebalancing. FTEC's broad construction minimizes single-stock risk while offering low-cost access to the full U.S. tech spectrum.
The iShares U.S. Technology ETF (IYW) passively tracks the Russell 1000 Technology RIC 22.5/45 Capped Index, focusing on large- and mid-cap U.S. technology companies with caps to limit concentration (22.5% single-stock, 45% top holdings). It maintains about 139 holdings. Key positions feature NVDA (~16%), AAPL (~14%), Alphabet Class A (~8%), with top 10 at ~64%. Predominantly technology sector exposure exceeds 98%, with an expense ratio of 0.38%. The capping methodology enhances stability relative to pure market-cap weighting, suiting investors prioritizing liquid large-cap tech.
The Defiance Quantum ETF (QTUM) is a thematic passive ETF tracking the BlueStar Quantum Computing and Machine Learning Index, selecting global companies deriving significant revenue from quantum hardware, software, or machine learning applications. It holds 86 stocks in a modified equal-weighted portfolio for balanced exposure. Top holdings include INTC (~3%), MU (~3%), Global Unichip (~2.5%), each capped near 3%. Sectors tilt heavily to technology (~82%), with industrials (~10%) and communications (~6%). Expense ratio stands at 0.40%, emphasizing disruptive innovation over broad sector replication.
The technology sector thrives on AI expansion, with inference demand fueling infrastructure buildouts and capital flows into semiconductors and data centers. Quantum computing garners momentum via venture funding and enterprise pilots, though commercial viability lags. Macro drivers like interest rate trajectories and energy constraints influence capex, while earnings growth in cloud and chips bolsters sentiment. Regulatory scrutiny on AI ethics and antitrust, plus geopolitical chip supply tensions, pose risks. Recent cycles highlight resilience amid volatility, with thematic niches like quantum sensitive to R&D breakthroughs.
In recent months, FTEC and IYW have shown trend consistency with lower volatility, benefiting from mega-cap leaders like NVDA amid AI rallies, though sharing drawdown risks from concentration. QTUM exhibits higher volatility and larger swings, reflecting thematic bets on quantum and ML firms, with shallower drawdowns in bull phases but amplified sensitivity to innovation cycles. FTEC's small-cap tilt aids diversification, IYW's capping tempers extremes, while QTUM's global equal-weighting heightens emerging market exposure. Structural differences explain divergences: broad passive trackers outperform in stable uptrends, thematics shine on hype but lag in corrections.
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 identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes.
Tickeron’s AI favors FTEC for its superior cost efficiency (0.08% expense ratio), deepest diversification (286 holdings including small-caps), and stable momentum in broad tech uptrends, offering a 65% probability of outperforming peers on risk-adjusted basis over coming quarters absent major shifts.
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| FTEC | IYW | QTUM | |
| Gain YTD | 23.521 | 21.915 | 45.616 |
| Net Assets | 19.6B | 23.4B | 5.64B |
| Total Expense Ratio | 0.08 | 0.38 | 0.40 |
| Turnover | 9.00 | 7.00 | 42.00 |
| Yield | 0.33 | 0.11 | 0.73 |
| Fund Existence | 13 years | 26 years | 8 years |
| FTEC | IYW | QTUM | |
|---|---|---|---|
| RSI ODDS (%) | 1 day ago 84% | 1 day ago 78% | 1 day ago 76% |
| Stochastic ODDS (%) | 1 day ago 89% | 1 day ago 87% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 78% | 1 day ago 81% | 1 day ago 88% |
| MACD ODDS (%) | 1 day ago 84% | 1 day ago 76% | 1 day ago 83% |
| TrendWeek ODDS (%) | 1 day ago 83% | 1 day ago 82% | 1 day ago 82% |
| TrendMonth ODDS (%) | 1 day ago 89% | 1 day ago 89% | 1 day ago 89% |
| Advances ODDS (%) | 10 days ago 88% | 10 days ago 87% | 10 days ago 88% |
| Declines ODDS (%) | 2 days ago 82% | 2 days ago 83% | 2 days ago 79% |
| BollingerBands ODDS (%) | 1 day ago 76% | 1 day ago 90% | 1 day ago 78% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 89% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| FSML | 29.33 | 0.95 | +3.34% |
| Franklin Small Cap Enhanced ETF | |||
| ABLS | 21.36 | 0.49 | +2.34% |
| Abacus FCF Small Cap Leaders ETF | |||
| GLV | 6.38 | 0.11 | +1.75% |
| Clough Global Dividend and Income Fund | |||
| IBDT | 25.22 | 0.05 | +0.18% |
| iShares iBonds Dec 2028 Term Corp ETF | |||
| IBHH | 23.44 | 0.01 | +0.05% |
| iShares iBonds 2028 Term HY & Inc ETF | |||
A.I.dvisor indicates that over the last year, IYW has been closely correlated with NVDA. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if IYW jumps, then NVDA could also see price increases.
| Ticker / NAME | Correlation To IYW | 1D Price Change % | ||
|---|---|---|---|---|
| IYW | 100% | +3.38% | ||
| NVDA - IYW | 76% Closely correlated | +2.22% | ||
| LRCX - IYW | 70% Closely correlated | +12.65% | ||
| AVGO - IYW | 67% Closely correlated | +3.62% | ||
| AMD - IYW | 66% Closely correlated | +7.97% | ||
| AMAT - IYW | 65% Loosely correlated | +11.19% | ||
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A.I.dvisor indicates that over the last year, QTUM has been closely correlated with LRCX. These tickers have moved in lockstep 78% of the time. This A.I.-generated data suggests there is a high statistical probability that if QTUM jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To QTUM | 1D Price Change % | ||
|---|---|---|---|---|
| QTUM | 100% | +5.54% | ||
| LRCX - QTUM | 78% Closely correlated | +12.65% | ||
| AMAT - QTUM | 73% Closely correlated | +11.19% | ||
| MKSI - QTUM | 73% Closely correlated | +9.25% | ||
| TSM - QTUM | 72% Closely correlated | +3.50% | ||
| ONTO - QTUM | 72% Closely correlated | +12.70% | ||
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