Strive U.S. Energy ETF (DRLL) and Vanguard Energy ETF (VDE) offer investors distinct avenues for gaining exposure to the U.S. energy sector, a critical component of the broader economy tied to commodity prices, geopolitical developments, and the ongoing energy transition. These ETFs do not compete directly as identical products but serve as alternatives within the same sector, allowing investors to select based on preferences for cost efficiency, diversification breadth, and strategic overlays. In an environment shaped by fluctuating oil and gas prices and evolving capital allocation priorities, comparing their structural features helps clarify how each may align with different portfolio objectives over market cycles.
Strive U.S. Energy ETF (DRLL) is a passively managed fund that seeks to track a market-capitalization-weighted index of U.S.-listed companies in the energy sector. It holds approximately 35 securities and maintains nearly full allocation to the energy sector, with top holdings including CVX (Chevron), XOM (Exxon Mobil), VLO (Valero Energy), MPC (Marathon Petroleum), and PSX (Phillips 66). The fund features an expense ratio of 0.41% and employs a strategy that combines index tracking with an active corporate governance approach by its issuer, Strive Asset Management, which involves proxy voting and engagement to promote operational excellence. Rebalancing occurs periodically in line with the underlying index, and the structure remains unleveraged and non-thematic beyond sector focus.
Vanguard Energy ETF (VDE) is a passively managed fund designed to track the performance of the MSCI US Investable Market Energy 25/50 Index. It holds approximately 111–118 securities, providing broader diversification across the energy sector, with top holdings including XOM (Exxon Mobil), CVX (Chevron), COP (ConocoPhillips), WMB (Williams Companies), and VLO (Valero Energy). The fund carries an expense ratio of 0.09% and follows a standard market-cap-weighted approach without additional governance overlays. Rebalancing aligns with index methodology, and the structure is unleveraged, focusing exclusively on equity exposure within the energy space.
The U.S. energy sector encompasses upstream exploration and production, midstream infrastructure, downstream refining, and related services, influenced by global oil and natural gas demand, supply disruptions, regulatory policies, and the shift toward lower-carbon alternatives. Recent market cycles have featured volatility driven by OPEC+ decisions, geopolitical tensions, and domestic production levels. Capital flows into the sector have varied with commodity price trends and investor emphasis on free cash flow generation and shareholder returns. Macroeconomic factors such as interest rate expectations and inflation dynamics continue to affect capital expenditure decisions and valuation multiples across energy companies.
In recent weeks and months, both ETFs have reflected broader energy sector movements tied to commodity price fluctuations and earnings cycles of major integrated producers. VDE’s greater diversification has historically contributed to somewhat lower volatility relative to more concentrated peers during sector rotations. DRLL’s higher concentration in leading holdings may amplify returns during periods of strength in top names but can also heighten sensitivity to company-specific developments. Relative positioning between the two has been shaped by differences in expense drag and weighting toward refiners versus exploration-focused names amid shifting demand outlooks and interest rate environments.
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. AI Screener
Based on observable factors including lower expense ratio, broader diversification profile, and established passive indexing methodology, Tickeron’s AI would currently assign a higher probabilistic preference to Vanguard Energy ETF (VDE) for investors prioritizing cost efficiency and reduced concentration risk within the energy sector, while recognizing that individual portfolio needs may favor the distinct governance features of Strive U.S. Energy ETF (DRLL).
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| DRLL | VDE | DRLL / VDE | |
| Gain YTD | 36.686 | 34.290 | 107% |
| Net Assets | 297M | 11.1B | 3% |
| Total Expense Ratio | 0.41 | 0.09 | 456% |
| Turnover | 8.00 | 11.00 | 73% |
| Yield | 2.22 | 2.40 | 92% |
| Fund Existence | 4 years | 22 years | - |
| DRLL | VDE | |
|---|---|---|
| RSI ODDS (%) | 3 days ago 89% | 3 days ago 81% |
| Stochastic ODDS (%) | 3 days ago 85% | 3 days ago 82% |
| 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 88% | 3 days ago 81% |
| TrendMonth ODDS (%) | 3 days ago 86% | 3 days ago 89% |
| Advances ODDS (%) | 3 days ago 90% | 3 days ago 90% |
| Declines ODDS (%) | 6 days ago 80% | 6 days ago 82% |
| BollingerBands ODDS (%) | 3 days ago 75% | 3 days ago 76% |
| Aroon ODDS (%) | 3 days ago 87% | 3 days ago 89% |
A.I.dvisor indicates that over the last year, DRLL has been closely correlated with XOM. These tickers have moved in lockstep 89% of the time. This A.I.-generated data suggests there is a high statistical probability that if DRLL jumps, then XOM could also see price increases.
| Ticker / NAME | Correlation To DRLL | 1D Price Change % | ||
|---|---|---|---|---|
| DRLL | 100% | +0.80% | ||
| XOM - DRLL | 89% Closely correlated | -0.97% | ||
| COP - DRLL | 89% Closely correlated | +1.22% | ||
| CVX - DRLL | 89% Closely correlated | +2.35% | ||
| EOG - DRLL | 88% Closely correlated | +2.19% | ||
| DVN - DRLL | 86% Closely correlated | +2.17% | ||
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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.