Investors seeking large-cap growth exposure often evaluate passive index trackers alongside actively managed strategies. The Schwab U.S. Large-Cap Growth ETF (SCHG) and the T. Rowe Price Blue Chip Growth ETF (TCHP) both target established U.S. companies with strong growth characteristics, yet they employ fundamentally different approaches. SCHG delivers broad, low-cost replication of a growth index, while TCHP applies active management to select blue-chip growth names. Comparing these ETFs highlights trade-offs in cost, diversification, and strategy that remain relevant amid ongoing sector rotation and interest-rate expectations within the growth equity space.
The Schwab U.S. Large-Cap Growth ETF (SCHG) is a passively managed ETF that seeks to track the performance of the Dow Jones U.S. Large-Cap Growth Total Stock Market Index. The fund holds approximately 196 securities and maintains an expense ratio of 0.04%. Top holdings typically include NVDA, AAPL, MSFT, AMZN, and GOOGL, with the portfolio heavily weighted toward technology, communication services, consumer cyclical, and healthcare sectors. As a rules-based index fund, SCHG rebalances periodically according to index methodology, offering investors transparent, low-turnover exposure to large-cap growth equities.
The T. Rowe Price Blue Chip Growth ETF (TCHP) is an actively managed ETF that seeks long-term capital growth by investing in established large- and mid-cap companies demonstrating above-average growth and profitability. The fund holds approximately 67 securities and carries an expense ratio of 0.57%. Its top holdings often feature elevated concentrations in names such as NVDA, MSFT, AAPL, AMZN, and GOOG, resulting in significant technology and communication services exposure. TCHP’s active approach allows portfolio managers to adjust holdings based on fundamental analysis, producing a more concentrated profile than many passive growth peers.
Both ETFs operate within the large-cap growth segment of the U.S. equity market, where technology, communication services, and consumer discretionary sectors dominate. Macroeconomic drivers such as artificial intelligence adoption, earnings growth among mega-cap technology companies, and evolving interest-rate expectations continue to shape capital flows into growth equities. Regulatory developments around antitrust and data privacy, alongside broader sector rotation between growth and value styles, influence positioning. Risks include valuation sensitivity to rate changes and concentration in a limited number of high-performing names, which can amplify volatility during shifts in investor sentiment or economic conditions.
In recent market cycles, both ETFs have benefited from strength in technology and growth-oriented mega-cap stocks, though their responses to sector rotations and earnings seasons differ. SCHG’s broader holdings and lower expense ratio have supported more consistent participation in broad growth rallies with reduced cost drag. TCHP’s active concentration has produced differentiated results during periods when manager selections outperformed or underperformed the index, often reflecting higher volatility tied to its top holdings. Relative positioning highlights SCHG’s emphasis on diversified, cost-efficient exposure versus TCHP’s pursuit of potential alpha through selective overweighting in favored growth names.
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.
Based on observable structural factors, Tickeron’s AI would currently assign higher probability to the Schwab U.S. Large-Cap Growth ETF (SCHG) due to its lower expense ratio, broader diversification across holdings, and rules-based methodology that reduces manager risk. While the T. Rowe Price Blue Chip Growth ETF (TCHP) offers active flexibility and potential for outperformance through concentrated bets, its higher costs and narrower profile introduce greater relative risk in most market environments. Investors should evaluate these characteristics against their own objectives.
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| SCHG | TCHP | SCHG / TCHP | |
| Gain YTD | 9.935 | 1.765 | 563% |
| Net Assets | 63.2B | 2.18B | 2,898% |
| Total Expense Ratio | 0.04 | 0.57 | 7% |
| Turnover | 27.00 | 15.80 | 171% |
| Yield | 0.39 | 0.00 | - |
| Fund Existence | 17 years | 6 years | - |
| SCHG | TCHP | |
|---|---|---|
| RSI ODDS (%) | 4 days ago 78% | 4 days ago 80% |
| Stochastic ODDS (%) | 4 days ago 84% | 4 days ago 83% |
| Momentum ODDS (%) | 4 days ago 79% | 4 days ago 82% |
| MACD ODDS (%) | 4 days ago 84% | 4 days ago 80% |
| TrendWeek ODDS (%) | 4 days ago 85% | 4 days ago 85% |
| TrendMonth ODDS (%) | 4 days ago 87% | 4 days ago 87% |
| Advances ODDS (%) | 28 days ago 84% | 19 days ago 84% |
| Declines ODDS (%) | 14 days ago 79% | 14 days ago 80% |
| BollingerBands ODDS (%) | 4 days ago 81% | 4 days ago 88% |
| Aroon ODDS (%) | 4 days ago 90% | N/A |
A.I.dvisor indicates that over the last year, TCHP has been closely correlated with TSM. These tickers have moved in lockstep 68% of the time. This A.I.-generated data suggests there is a high statistical probability that if TCHP jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To TCHP | 1D Price Change % | ||
|---|---|---|---|---|
| TCHP | 100% | -0.53% | ||
| TSM - TCHP | 68% Closely correlated | -2.29% | ||
| GS - TCHP | 58% Loosely correlated | -0.66% | ||
| CVNA - TCHP | 56% Loosely correlated | -0.07% | ||
| MS - TCHP | 56% Loosely correlated | -0.04% | ||
| MRVL - TCHP | 52% Loosely correlated | -10.28% | ||
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