Investors navigating the energy sector ETF comparison between First Trust Energy AlphaDEX Fund (FXN) and VanEck Oil Services ETF (OIH) find relevance amid volatile commodity trends and sector rotation. While both target energy exposure, they diverge structurally: FXN provides diversified access to the broad U.S. energy sector via a factor-based selection, blending producers, refiners, and services. OIH offers a concentrated play on oil services, emphasizing equipment, drilling, and upstream support firms. This ETF comparison highlights alternative strategies for capturing energy upside—broader stability versus targeted cyclical leverage—amid macroeconomic shifts like interest rate expectations and geopolitical influences on oil prices.
The First Trust Energy AlphaDEX Fund (FXN) seeks investment results that correspond generally to the price and yield of the StrataQuant Energy Index, a modified equal-dollar weighted benchmark designed to select stocks from the Russell 1000 Index in the energy sector that may generate positive alpha relative to traditional passive indices. This smart beta, passive strategy employs the proprietary AlphaDEX selection methodology, ranking constituents on growth and value factors before tiered equal-weighting within quintiles.
FXN holds approximately 37-42 securities, with top 10 holdings accounting for ~45% of assets. Key positions include OVV (Ovintiv ~5%), PR (Permian Resources ~4.8%), DINO (HF Sinclair ~4.6%), DVN (Devon Energy ~4.6%), and CTRA (Coterra Energy ~4.7%). Sector allocation is predominantly energy (~95%), encompassing oil/gas exploration, production, refining, and equipment/services.
The expense ratio is 0.63%. The fund rebalances and reconstitutes quarterly, promoting turnover around 50%. With assets under management (AUM, total value of fund assets) of ~$1.2 billion, FXN suits investors seeking enhanced energy sector exposure with factor tilts for potential outperformance.
The VanEck Oil Services ETF (OIH) seeks to replicate, before fees and expenses, the price and yield performance of the MVIS US Listed Oil Services 25 Index (MVOIHTR). This market-cap-weighted index tracks the largest and most liquid U.S.-listed companies providing oil equipment, services, or drilling to the upstream oil sector, including some foreign firms listed domestically.
OIH maintains 25-26 holdings, highly concentrated with top 10 comprising ~70-71%. Leading weights are SLB (Schlumberger ~20%), BKR (Baker Hughes ~12%), HAL (Halliburton ~7%), FTI (TechnipFMC ~6.5%), and TS (Tenaris ~5%). Allocation is nearly 100% energy, specifically oil equipment and services.
The expense ratio stands at 0.35%. The index undergoes semi-annual reviews with quarterly rebalances. AUM approximates $2.4 billion, positioning OIH as a liquid vehicle for pure-play oil services sector exposure.
The energy sector, particularly oil services, faces a dynamic environment shaped by geopolitical tensions, commodity price volatility, and macroeconomic drivers. Middle East conflicts have introduced supply disruption risks, elevating Brent crude premiums and supporting upstream activity, though forecasts vary from $60/bbl averages amid oversupply to higher levels if disruptions persist. OPEC+ production decisions, U.S. shale discipline, and global demand from petrochemicals/aviation influence capital flows. Regulatory pushes for energy security and LNG expansion amid energy transition add catalysts, while risks include softening demand growth and elevated interest rates curbing exploration spending. Sector rotation favors cyclicals during commodity upswings, benefiting services amid reserve replacement needs.
In recent weeks and months, OIH has demonstrated superior relative positioning, buoyed by oil services momentum from elevated rig counts and service pricing amid commodity trends and geopolitical risk premiums. Its concentrated structure amplifies gains during upstream capex cycles but heightens volatility versus FXN. FXN, with broader exposure including producers and refiners, exhibits more stable dynamics, connecting performance to diversified energy earnings cycles and less sensitivity to pure services fluctuations. Both reflect sector tailwinds like OPEC+ strategies and macro shifts, though OIH's higher beta underscores greater drawdown potential in downturns.
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Tickeron’s AI currently favors OIH with moderate conviction (~60% probability edge), driven by superior cost efficiency, strong trend consistency in recent oil services momentum, and targeted exposure to high-beta upstream enablers amid commodity upcycles. While FXN offers better diversification and factor-based alpha potential, OIH's liquidity, lower expenses, and relative sector strength position it ahead probabilistically. This assessment weighs observable structural advantages without constituting advice.
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| FXN | OIH | FXN / OIH | |
| Gain YTD | 30.114 | 49.552 | 61% |
| Net Assets | 1.24B | 2.35B | 53% |
| Total Expense Ratio | 0.63 | 0.35 | 180% |
| Turnover | 50.00 | 21.00 | 238% |
| Yield | 1.83 | 1.16 | 157% |
| Fund Existence | 19 years | 14 years | - |
| FXN | OIH | |
|---|---|---|
| RSI ODDS (%) | 5 days ago 87% | 2 days ago 83% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| MACD ODDS (%) | 2 days ago 83% | 2 days ago 90% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 81% | 2 days ago 90% |
| Advances ODDS (%) | 9 days ago 90% | 2 days ago 90% |
| Declines ODDS (%) | 17 days ago 82% | 15 days ago 86% |
| BollingerBands ODDS (%) | N/A | N/A |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, FXN has been closely correlated with OVV. These tickers have moved in lockstep 89% 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, OIH has been closely correlated with SLB. These tickers have moved in lockstep 86% of the time. This A.I.-generated data suggests there is a high statistical probability that if OIH jumps, then SLB could also see price increases.