In the current energy market, marked by geopolitical tensions and sustained oil demand, OIH and PSCE offer distinct pathways to sector exposure. OIH delivers targeted access to oilfield services leaders supporting upstream activities, while PSCE captures small-cap energy firms across exploration, production, and equipment. These ETFs do not compete directly but serve as alternatives for investors seeking either concentrated large-cap services plays or diversified small-cap energy bets. Amid sector rotation toward commodities and capital discipline among producers, comparing their structures reveals trade-offs in liquidity, diversification, and risk for tactical allocation in ETF portfolios.
The OIH is a passive ETF tracking the MVIS US Listed Oil Services 25 Index, focusing on the 25 most liquid U.S.-listed companies deriving at least 50% revenue from oil equipment, services, or drilling. It holds approximately 26 stocks in a modified market-cap weighted approach, emphasizing larger firms for liquidity. Top holdings include SLB (~20%), BKR (~12%), HAL (~7%), FTI (~6%), and TS (~5%), representing over 70% of assets. Nearly 100% allocated to energy, primarily oil & gas equipment/services. Expense ratio is 0.35%, with ~$2.4 billion AUM and strong liquidity (average daily volume ~500,000 shares). Launched in 2011, it prioritizes highly liquid constituents via market cap and trading volume screens, rebalanced periodically by the index provider.
The PSCE passively replicates the S&P SmallCap 600 Capped Energy Index, measuring small-cap U.S. energy firms per GICS (Global Industry Classification Standard). It features ~32 holdings, capped to mitigate concentration. Top holdings: AROC (~7%), SM (~7%), NE (~6%), LBRT (~5%), MGY (~5%), totaling ~54%. Sector breakdown: oil & gas equipment/services (~36%), exploration/production (~27%), drilling (~15%), others. Over 98% energy-focused. Expense ratio of 0.29%, ~$122 million AUM, moderate liquidity (average daily volume ~60,000 shares). Inception 2010; index rebalanced quarterly with constituent caps for diversification.
The energy sector navigates elevated oil prices from geopolitical risks, including Middle East tensions, alongside steady demand from emerging markets and data centers boosting natural gas/LNG. Upstream services benefit from rig count stability and capex discipline, favoring efficient operators. Small-cap energy firms leverage shale agility but face volatility from funding costs and consolidation waves. Macro drivers like interest rate paths influence drilling budgets, while regulatory pushes for energy security sustain offshore/deepwater projects. Risks include supply gluts from non-OPEC+ output and energy transition pressures, yet 2026 outlooks point to balanced markets supporting both services incumbents and nimble explorers.
In recent months, both ETFs have surged with energy sector strength, driven by oil price resilience and upstream momentum. OIH has delivered robust gains in recent market cycles, bolstered by strong earnings from top holdings tied to global rig demand and service contracts. PSCE has shown higher relative volatility, outperforming in small-cap rotations during commodity rallies but lagging in consolidations due to beta exposure. OIH's large-cap anchor provides steadier positioning amid interest rate uncertainty, while PSCE amplifies upside from E&P (exploration and production) cycles and M&A (mergers and acquisitions) activity in shale. Divergent profiles suit tactical plays: OIH for defensive sector bets, PSCE for aggressive growth.
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 identifies trade ideas, trending stocks, breakout candidates, and market opportunities more efficiently than manual screening, empowering data-driven decisions across asset classes.
Tickeron’s AI currently favors OIH due to its superior liquidity, larger scale, and concentrated exposure to established oil services leaders amid sustained upstream demand. While PSCE offers cost efficiency and small-cap upside potential, OIH's structural advantages in diversification within services, lower relative volatility, and trend consistency position it probabilistically stronger for current sector momentum.
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| OIH | PSCE | OIH / PSCE | |
| Gain YTD | 49.552 | 38.752 | 128% |
| Net Assets | 2.35B | 118M | 1,990% |
| Total Expense Ratio | 0.35 | 0.29 | 121% |
| Turnover | 21.00 | 31.00 | 68% |
| Yield | 1.16 | 1.91 | 61% |
| Fund Existence | 14 years | 16 years | - |
| OIH | PSCE | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 83% | 5 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 88% | 2 days ago 83% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 76% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| Advances ODDS (%) | 2 days ago 90% | 9 days ago 90% |
| Declines ODDS (%) | 15 days ago 86% | 15 days ago 85% |
| BollingerBands ODDS (%) | N/A | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
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.
A.I.dvisor indicates that over the last year, PSCE has been closely correlated with MTDR. These tickers have moved in lockstep 85% of the time. This A.I.-generated data suggests there is a high statistical probability that if PSCE jumps, then MTDR could also see price increases.
| Ticker / NAME | Correlation To PSCE | 1D Price Change % | ||
|---|---|---|---|---|
| PSCE | 100% | -1.09% | ||
| MTDR - PSCE | 85% Closely correlated | -2.35% | ||
| PTEN - PSCE | 84% Closely correlated | -4.45% | ||
| NOG - PSCE | 83% Closely correlated | -4.36% | ||
| BTE - PSCE | 82% Closely correlated | -1.47% | ||
| MGY - PSCE | 82% Closely correlated | -2.09% | ||
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