SEMI, SMH, and XNTK provide targeted exposure to the surging semiconductor and technology sectors, fueled by AI demand, data centers, and chip innovation. SMH and SEMI focus intensely on semiconductors—SMH via a passive index of the most liquid U.S.-listed producers, SEMI through active selection—while XNTK takes an equal-weighted approach to broader NYSE-listed technology firms, including semis (~40% allocation). These ETFs represent varied strategies: concentrated passive (SMH), active thematic (SEMI), and diversified equal-weight tech (XNTK). Comparing them helps investors weigh pure semiconductor bets against broader tech diversification amid geopolitical tensions, supply chain shifts, and cyclical earnings in chips.
The Columbia Select Technology ETF (SEMI) is an actively managed fund seeking capital appreciation through a concentrated portfolio of technology and semiconductor-related companies. It holds approximately 37 stocks, selected by portfolio managers for growth potential without tracking a specific index. Top holdings include NVDA (~16-18%), AVGO (~9-10%), AAPL (~8%), MSFT (~7%), and LRCX (~6-7%). Sector allocation emphasizes electronic technology (59%), technology services (21%), and producer manufacturing (10%). The expense ratio is 0.75%, reflecting active management costs. Launched in March 2022, SEMI offers flexibility to navigate sector rotations but carries higher fees and manager risk.
The VanEck Semiconductor ETF (SMH) is a passive ETF tracking the MVIS US Listed Semiconductor 25 Index, focusing on the 25 most liquid U.S.-listed companies in semiconductor production and equipment. It maintains 25-26 holdings, heavily market-cap weighted toward leaders like NVDA (~17-20%), TSM (~10-12%), AVGO, INTC, and AMD. Over 85% allocates to electronic technology, with minor producer manufacturing exposure. The expense ratio is 0.35%. Quarterly rebalanced for liquidity, SMH boasts massive AUM (~$65B) for superior liquidity. Inception: 2011. Its design favors industry giants and global U.S.-listed firms.
The State Street SPDR NYSE Technology ETF (XNTK) passively tracks the NYSE Technology Index, comprising 35 leading U.S.-listed technology-related companies selected by market cap, liquidity, and revenue criteria (75%+ U.S.-headquartered). Equal-weighted with annual rebalancing (December), it holds 35 stocks. Top holdings (capped ~3-8% each): INTC (~8%), MU (~8%), AMD (~5%), MRVL (~5%), LRCX (~4%). Sub-industry: semiconductors (40%), semi equipment (12%), software (16%). Expense ratio: 0.35%. AUM ~$2B. Inception: 2000. Equal-weighting promotes diversification vs. cap-heavy peers.
The semiconductor sector drives AI infrastructure, EVs, and 5G, with capital flows pouring into chipmakers amid record data center spending. Macro drivers include U.S. CHIPS Act subsidies (semiconductor manufacturing incentives), but risks loom from Taiwan geopolitics (key foundry exposure), U.S.-China trade curbs, and cyclical downturns in memory/equipment. Earnings trends favor AI leaders like design/foundry firms, while equipment suppliers benefit from fab expansions. Broader tech faces regulatory scrutiny on antitrust (e.g., big tech) and interest rate sensitivity. Recent months saw sector rotation from mega-caps to value semis amid inflation data.
In recent months, SMH has led amid mega-cap AI surges, with NVDA dominance amplifying gains but heightening volatility and drawdowns during rotations. SEMI's active tilt mirrors this but adds broader tech buffers like software, tempering relative volatility. XNTK trails slightly in uptrends due to equal-weighting diluting top performers yet exhibits lower drawdowns and steadier trends in choppy markets, thanks to mid-cap semi and software exposure. Concentration risk is highest in SMH (~20% top holding), moderate in SEMI, lowest in XNTK. All show high beta to tech cycles, with SMH most sensitive to chip supply news.
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Tickeron’s AI favors XNTK for its equal-weighted diversification, cost efficiency (0.35% expense ratio), balanced risk profile, and momentum stability across tech cycles. While SMH excels in bull runs via concentration, XNTK's structure (~40% semis without mega-cap overhang) positions it strongly for relative outperformance in volatile environments, with 70% probability over 6-12 months based on historical backtests of similar setups.
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| SEMI | SMH | XNTK | |
| Gain YTD | 25.440 | 69.231 | 31.947 |
| Net Assets | 35.9M | 66.4B | 2.09B |
| Total Expense Ratio | 0.75 | 0.35 | 0.35 |
| Turnover | 65.00 | 12.00 | 16.00 |
| Yield | 3.52 | 0.18 | 0.17 |
| Fund Existence | 4 years | 14 years | 26 years |
| SEMI | SMH | XNTK | |
|---|---|---|---|
| RSI ODDS (%) | 1 day ago 77% | 1 day ago 85% | 1 day ago 77% |
| Stochastic ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 88% |
| Momentum ODDS (%) | 1 day ago 89% | 1 day ago 90% | 1 day ago 89% |
| MACD ODDS (%) | 1 day ago 86% | 1 day ago 88% | 1 day ago 83% |
| TrendWeek ODDS (%) | 1 day ago 82% | 1 day ago 86% | 1 day ago 84% |
| TrendMonth ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 90% |
| Advances ODDS (%) | 10 days ago 90% | 9 days ago 90% | 10 days ago 89% |
| Declines ODDS (%) | 2 days ago 80% | 2 days ago 82% | 2 days ago 82% |
| BollingerBands ODDS (%) | 1 day ago 82% | 1 day ago 83% | 1 day ago 80% |
| Aroon ODDS (%) | 1 day ago 90% | 1 day ago 90% | 1 day ago 89% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| PANG | 21.82 | 2.47 | +12.76% |
| Leverage Shares 2X Long PANW Daily ETF | |||
| QTUM | 159.36 | 8.37 | +5.54% |
| Defiance Quantum ETF | |||
| SMAY | 27.80 | 0.42 | +1.54% |
| FT Vest US Sm Cp Mod Buffr ETF- May | |||
| BKFI | 23.85 | 0.13 | +0.55% |
| BNY Mellon Active Core Bond ETF | |||
| FIGB | 42.90 | 0.21 | +0.49% |
| Fidelity Investment Grade Bd ETF | |||
A.I.dvisor indicates that over the last year, SEMI has been closely correlated with TSM. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if SEMI jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To SEMI | 1D Price Change % | ||
|---|---|---|---|---|
| SEMI | 100% | +4.48% | ||
| TSM - SEMI | 77% Closely correlated | +3.50% | ||
| NVDA - SEMI | 76% Closely correlated | +2.22% | ||
| LRCX - SEMI | 75% Closely correlated | +12.65% | ||
| AVGO - SEMI | 72% Closely correlated | +3.62% | ||
| ASML - SEMI | 71% Closely correlated | +9.53% | ||
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A.I.dvisor indicates that over the last year, SMH has been closely correlated with LRCX. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if SMH jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To SMH | 1D Price Change % | ||
|---|---|---|---|---|
| SMH | 100% | +6.75% | ||
| LRCX - SMH | 86% Closely correlated | +12.65% | ||
| AMAT - SMH | 83% Closely correlated | +11.19% | ||
| KLAC - SMH | 82% Closely correlated | +12.92% | ||
| TSM - SMH | 80% Closely correlated | +3.50% | ||
| ASML - SMH | 79% Closely correlated | +9.53% | ||
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A.I.dvisor indicates that over the last year, XNTK has been closely correlated with LRCX. These tickers have moved in lockstep 76% of the time. This A.I.-generated data suggests there is a high statistical probability that if XNTK jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To XNTK | 1D Price Change % | ||
|---|---|---|---|---|
| XNTK | 100% | +4.84% | ||
| LRCX - XNTK | 76% Closely correlated | +12.65% | ||
| ADI - XNTK | 73% Closely correlated | +4.96% | ||
| TSM - XNTK | 73% Closely correlated | +3.50% | ||
| AMAT - XNTK | 73% Closely correlated | +11.19% | ||
| MU - XNTK | 70% Closely correlated | +11.66% | ||
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