Energy sector exchange-traded funds (ETFs) have gained relevance amid ongoing shifts in global supply dynamics, commodity price cycles, and capital allocation toward traditional energy resources. First Trust Energy AlphaDEX Fund (FXN) and Vanguard Energy ETF (VDE) both deliver concentrated exposure to U.S. energy equities but pursue distinct methodologies. They do not compete directly as identical products; instead, they serve as alternative vehicles within the same sector, allowing investors to choose between rules-based factor selection and straightforward market-cap indexing depending on preferences for cost, diversification, and active tilt.
First Trust Energy AlphaDEX Fund (FXN) seeks to track the StrataQuant Energy Index, which applies the AlphaDEX selection methodology to identify stocks from the Russell 1000 Index in the energy sector. The index uses a modified equal-dollar weighting scheme designed to emphasize securities with potential for positive alpha relative to traditional benchmarks. The fund typically holds around 40 securities, with top positions concentrated in exploration and production companies such as HF Sinclair, APA, and Devon Energy. Sector allocation remains nearly 100% energy, with sub-industry exposure varying across oil producers, pipelines, and refining. FXN operates as a passively managed ETF tracking a rules-based index, with quarterly rebalancing. Its expense ratio stands at 0.63%. Distinguishing features include the factor-driven stock selection process that differentiates it from pure market-cap approaches.
Vanguard Energy ETF (VDE) seeks to track the MSCI US Investable Market Energy 25/50 Index, providing broad exposure to large-, mid-, and small-cap U.S. companies in the energy sector as classified by the Global Industry Classification Standard (GICS). The fund employs a passively managed, full-replication strategy where feasible and holds approximately 111 securities. Top holdings are dominated by large integrated oil majors including Exxon Mobil and Chevron, which together often exceed 35% of assets. Sector allocation is essentially 100% energy, with meaningful weights in integrated oil and gas, exploration and production, and storage and transportation. VDE maintains low turnover consistent with its indexing approach. Its expense ratio is 0.09%. Key structural characteristics include market-capitalization weighting and comprehensive coverage across the energy value chain.
The U.S. energy sector continues to navigate macroeconomic influences including commodity price fluctuations, geopolitical tensions affecting supply chains, and evolving domestic production levels. Capital flows into energy infrastructure and exploration remain sensitive to interest rate expectations and global demand patterns. Regulatory developments around environmental standards and permitting processes introduce ongoing considerations for producers and service companies. Both ETFs operate within this environment, where earnings cycles of upstream operators and downstream refiners drive sector performance. Broader themes such as energy security and the role of traditional hydrocarbons in the transition landscape provide persistent context for positioning in these funds.
In recent market cycles, VDE's market-cap weighting has resulted in greater influence from large integrated producers, contributing to relatively stable exposure during periods of sector consolidation. FXN's modified equal weighting and factor selection have led to comparatively higher sensitivity to mid-cap exploration and production names, which can amplify returns in favorable commodity environments but also increase volatility. Relative positioning reflects differing responses to oil price trends and earnings momentum among holdings. Over broader timeframes, the lower-cost structure of VDE supports more efficient capture of overall sector returns, while FXN's methodology introduces potential for outperformance through stock selection but at the cost of higher fees and concentration risk.
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 energy sector ideas or comparative analysis between funds like First Trust Energy AlphaDEX Fund (FXN) and Vanguard Energy ETF (VDE) may find the platform useful for refining their research process.
Based on observable structural factors, Tickeron’s AI would currently assign a higher probability of favorability to Vanguard Energy ETF (VDE). The combination of substantially lower expense ratio, broader diversification across more than 100 holdings, and straightforward market-cap weighting provides a more efficient profile for core energy sector exposure. First Trust Energy AlphaDEX Fund (FXN) offers a differentiated rules-based approach that may appeal in specific factor-driven scenarios, yet the higher cost and narrower holdings count introduce trade-offs in consistency and accessibility across varying market conditions.
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.
| FXN | VDE | FXN / VDE | |
| Gain YTD | 44.264 | 43.572 | 102% |
| Net Assets | 401M | 12.4B | 3% |
| Total Expense Ratio | 0.63 | 0.09 | 700% |
| Turnover | 50.00 | 11.00 | 455% |
| Yield | 1.62 | 2.40 | 68% |
| Fund Existence | 19 years | 22 years | - |
| FXN | VDE | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 86% | 3 days ago 84% |
| Stochastic ODDS (%) | 3 days ago 82% | 3 days ago 76% |
| Momentum ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| MACD ODDS (%) | 3 days ago 90% | 3 days ago 88% |
| TrendWeek ODDS (%) | 3 days ago 89% | 3 days ago 90% |
| TrendMonth ODDS (%) | 3 days ago 87% | 3 days ago 89% |
| Advances ODDS (%) | 3 days ago 90% | 6 days ago 90% |
| Declines ODDS (%) | 11 days ago 80% | 19 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 76% | 3 days ago 76% |
| Aroon ODDS (%) | 3 days ago 90% | 3 days ago 88% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| BLSG | 2.57 | 0.32 | +14.34% |
| Leverage Shares 2X Long BLSH Daily ETF | |||
| CRCA | 22.43 | 2.05 | +10.06% |
| ProShares Ultra CRCL ETF | |||
| CXSE | 38.60 | 0.22 | +0.57% |
| WisdomTree China ex-State-Owd Entpr ETF | |||
| FWD | 129.86 | 0.49 | +0.38% |
| AB Disruptors ETF | |||
| HFND | 24.52 | 0.09 | +0.35% |
| Unlimited HFND Multi-Strgy Ret Trckr ETF | |||
A.I.dvisor indicates that over the last year, FXN has been closely correlated with OVV. These tickers have moved in lockstep 90% of the time. This A.I.-generated data suggests there is a high statistical probability that if FXN jumps, then OVV could also see price increases.
A.I.dvisor indicates that over the last year, VDE has been closely correlated with XOM. These tickers have moved in lockstep 90% of the time. This A.I.-generated data suggests there is a high statistical probability that if VDE jumps, then XOM could also see price increases.