The technology sector remains a dominant driver of equity market returns amid ongoing innovation in artificial intelligence, cloud computing, and advanced manufacturing. FTEC and PSI both channel capital into this ecosystem yet pursue distinct strategies. FTEC offers comprehensive coverage of the broad information technology universe, while PSI narrows focus to the semiconductor value chain. The comparison highlights trade-offs between breadth, cost, concentration, and thematic purity that investors evaluate when allocating within the sector.
FTEC is a passive exchange-traded fund that seeks to track the performance of the MSCI USA IMI Information Technology 25/50 Index. The fund holds approximately 280–290 securities and maintains near-100% allocation to the information technology sector. Its largest positions typically include NVDA, AAPL, MSFT, AVGO, and MU. The ETF charges a net expense ratio of 0.08% and employs full replication with low turnover. As a market-capitalization-weighted vehicle, FTEC provides diversified exposure across hardware, software, IT services, and semiconductors within a single, cost-efficient structure.
PSI is a passive fund designed to track the Dynamic Semiconductor Intellidex Index, which selects approximately 30 U.S. semiconductor companies using a proprietary methodology that incorporates price momentum, earnings momentum, quality, management action, and value factors. The ETF typically holds 30–32 positions, with notable allocations to companies such as AMAT, MU, NVDA, LRCX, and AMD. PSI carries a net expense ratio of 0.56% and rebalances quarterly. The fund delivers pure-play exposure to the semiconductor industry, emphasizing companies principally engaged in the design, manufacture, and distribution of semiconductor devices and equipment.
The semiconductor and broader technology industries continue to benefit from structural demand for advanced computing, artificial intelligence accelerators, and electrification across automotive and industrial applications. Capital spending by hyperscale cloud providers and government initiatives supporting domestic chip manufacturing remain supportive. However, the sector faces cyclical inventory adjustments, geopolitical supply-chain risks, and elevated valuations that can amplify volatility during periods of shifting interest-rate expectations or slowing end-market demand. Both ETFs operate within this environment, with FTEC capturing the full technology spectrum and PSI reflecting the more cyclical semiconductor sub-industry.
Over recent market cycles, FTEC has delivered returns aligned with the broad technology sector, benefiting from the outperformance of mega-cap software and hardware leaders. PSI has exhibited greater sensitivity to semiconductor capital-expenditure cycles and memory pricing trends, resulting in periods of outperformance during chip demand surges and underperformance during inventory corrections. The narrower focus of PSI typically produces higher volatility relative to FTEC’s diversified holdings. Relative positioning favors FTEC for investors prioritizing lower costs and broader diversification, while PSI offers leveraged exposure to semiconductor-specific momentum within the technology complex.
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 such as FTEC and PSI may find the platform useful for refining screening criteria and monitoring sector-specific opportunities.
Based on observable structural characteristics, Tickeron’s AI would currently assign a modestly higher probability of favorable long-term positioning to FTEC. The combination of substantially lower expense ratio, broader diversification across the information technology sector, and passive replication methodology supports more consistent exposure with reduced cost drag. PSI offers compelling thematic purity within semiconductors but carries higher fees and concentration risk that may detract from risk-adjusted outcomes in most market regimes.
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| FTEC | PSI | FTEC / PSI | |
| Gain YTD | 27.828 | 67.160 | 41% |
| Net Assets | 21B | 2.38B | 883% |
| Total Expense Ratio | 0.08 | 0.56 | 15% |
| Turnover | 9.00 | 105.00 | 9% |
| Yield | 0.37 | 0.04 | 1,047% |
| Fund Existence | 13 years | 21 years | - |
| FTEC | PSI | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 90% | 3 days ago 85% |
| Stochastic ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Momentum ODDS (%) | 3 days ago 86% | 3 days ago 85% |
| MACD ODDS (%) | 3 days ago 82% | 3 days ago 87% |
| TrendWeek ODDS (%) | 3 days ago 89% | 3 days ago 85% |
| TrendMonth ODDS (%) | 3 days ago 89% | 3 days ago 90% |
| Advances ODDS (%) | 4 days ago 87% | 4 days ago 88% |
| Declines ODDS (%) | 11 days ago 83% | 7 days ago 83% |
| BollingerBands ODDS (%) | 3 days ago 90% | 4 days ago 90% |
| Aroon ODDS (%) | 3 days ago 83% | 3 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| REM | 21.78 | -0.07 | -0.32% |
| iShares Mortgage Real Estate Capped ETF | |||
| GAEM | 26.79 | -0.10 | -0.37% |
| Simplify Gamma Emerging Market Bond ETF | |||
| IBIG | 25.59 | -0.12 | -0.46% |
| iShares iBonds Oct 2030 Term Tips ETF | |||
| IMCG | 97.38 | -1.22 | -1.24% |
| iShares Morningstar Mid-Cap Growth ETF | |||
| GLDN | 17.55 | -0.60 | -3.33% |
| Nicholas Gold Income ETF | |||
A.I.dvisor indicates that over the last year, PSI has been closely correlated with ONTO. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if PSI jumps, then ONTO could also see price increases.
| Ticker / NAME | Correlation To PSI | 1D Price Change % | ||
|---|---|---|---|---|
| PSI | 100% | -4.87% | ||
| ONTO - PSI | 86% Closely correlated | -7.46% | ||
| TER - PSI | 84% Closely correlated | -4.59% | ||
| SYNA - PSI | 83% Closely correlated | -2.57% | ||
| ACLS - PSI | 81% Closely correlated | -5.58% | ||
| GFS - PSI | 77% Closely correlated | -3.41% | ||
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