FTXN, OIH, and VDE offer distinct approaches to the energy sector, particularly relevant amid 2026's geopolitical tensions driving oil price volatility and sector rotation from tech. FTXN uses a smart beta index for U.S. oil and gas equities, OIH targets oil services via a liquidity-focused benchmark, and VDE provides comprehensive market-cap exposure to the entire U.S. energy universe. These ETFs compete in capturing energy upside but differ in subsector tilts—exploration/production for FTXN, equipment/services for OIH, and broad coverage for VDE—allowing investors to tier risk from concentrated plays to diversified stability. Comparing them reveals trade-offs in diversification, costs, and sensitivity to oil cycles.
The First Trust Nasdaq Oil & Gas ETF (FTXN) seeks investment results tracking the Nasdaq US Smart Oil & Gas Index, a smart beta benchmark selecting U.S. oil and gas companies based on liquidity and multi-factor ranking (volatility, value, growth). It holds approximately 44 stocks, with top holdings including COP (~7.7%), CVX (~7.2%), XOM (~7.1%), OXY (~5.8%), and EOG (~5.4%), comprising ~53% of assets. Sector allocation is nearly 100% energy, focused on oil/gas exploration, production, and refining. The expense ratio is 0.60%, with semi-annual rebalancing. As a non-diversified, factor-tilted passive ETF, FTXN distinguishes via its methodology aiming to outperform traditional cap-weighted peers in sector upcycles.
The VanEck Oil Services ETF (OIH) tracks the MVIS US Listed Oil Services 25 Index, a modified market-cap-weighted benchmark of the 25 most liquid U.S.-listed companies deriving >50% revenue from oil equipment, services, or drilling. It maintains ~26 holdings, with top weights in SLB (~20%), BKR (~12%), HAL (~7%), FTI (~6.5%), and TS (~5%), totaling ~71% concentration. Allocation is overwhelmingly oilfield services within energy. Expense ratio stands at 0.35%. This passive, non-diversified structure emphasizes upstream enablers, heightening sensitivity to drilling budgets over broad energy trends.
The Vanguard Energy ETF (VDE) tracks the MSCI US Investable Market Energy 25/50 Index, spanning large-, mid-, and small-cap U.S. energy stocks under GICS classification. It holds 106 securities, led by XOM (22.7%), CVX (15.0%), COP (6.1%), WMB (3.4%), and EOG (3.0%), with top-10 at ~63%. Subsector breakdown: integrated oil & gas (39.5%), exploration/production (23.1%), storage/transport (14.4%), refining/marketing (10.2%), equipment/services (10.5%), drilling (1.4%), coal (0.8%). Expense ratio is a low 0.09%, employing full replication or sampling with low turnover (~11%). This passive, non-diversified ETF offers comprehensive sector exposure.
The energy sector faces a dynamic environment in 2026, with oil prices volatile due to Middle East conflicts, U.S./Israel-Iran tensions, and OPEC+ cuts amid non-OPEC supply growth from U.S., Brazil, Guyana. Capital flows have rotated into energy ETFs, topping equity sectors in Q1 amid rising Brent crude (>$100/bbl spikes), sector broadening beyond tech. Macro drivers include AI power demand boosting infrastructure, global demand growth (~0.9MM bbl/d), but supply surpluses project Brent at ~$60/bbl average, risking mid-$50s. Regulatory shifts emphasize capital discipline over ESG, with geopolitical risks (Hormuz Strait, sanctions) and energy transition pressuring fossils. Earnings trends favor majors' cash flows, buybacks; sector risks encompass price crashes, policy changes.
In recent months through early 2026, energy ETFs rallied ~25-48% YTD amid oil surges from geopolitics, with OIH's services focus delivering outsized gains but higher volatility (beta ~0.93) and drawdowns tied to capex cycles. VDE showed steady trend consistency (~26% YTD, beta 0.14 recently), lower drawdowns via diversification across integrateds/midstream buffering upstream swings. FTXN tracked broad oil/gas momentum with smart beta stability, though less volatile than OIH. Concentration amplifies OIH's macro sensitivity (drilling > services demand), while VDE's cap-weighting favors resilient majors like XOM, CVX; FTXN's factors aid relative positioning in rotations. Differences stem from subsector tilts: services (OIH) lead in rig count uptrends, broad (VDE) in stable oil, oil/gas pure (FTXN) in exploration beats.
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 (market cap), 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 like energy ETFs. Explore it today to uncover comparative insights on funds like FTXN, OIH, and VDE.
Tickeron’s AI currently favors VDE with ~65% probability in risk-adjusted positioning. Its superior diversification (106 holdings), lowest expense ratio (0.09%), and balanced subsector exposure yield better momentum stability and lower volatility versus OIH's concentration risk or FTXN's higher costs, aligning with observable structural efficiency in volatile energy cycles.
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.
| FTXN | OIH | VDE | |
| Gain YTD | 29.570 | 45.626 | 29.681 |
| Net Assets | 966M | 2.37B | 11.8B |
| Total Expense Ratio | 0.60 | 0.35 | 0.09 |
| Turnover | 32.00 | 21.00 | 11.00 |
| Yield | 2.13 | 1.16 | 2.47 |
| Fund Existence | 10 years | 14 years | 22 years |
| FTXN | OIH | VDE | |
|---|---|---|---|
| RSI ODDS (%) | N/A | 3 days ago 86% | N/A |
| Stochastic ODDS (%) | 3 days ago 89% | 3 days ago 90% | 3 days ago 89% |
| Momentum ODDS (%) | 3 days ago 84% | 3 days ago 89% | 3 days ago 84% |
| MACD ODDS (%) | 3 days ago 79% | 3 days ago 90% | 3 days ago 81% |
| TrendWeek ODDS (%) | 3 days ago 90% | 3 days ago 90% | 3 days ago 89% |
| TrendMonth ODDS (%) | 3 days ago 79% | 3 days ago 90% | 3 days ago 81% |
| Advances ODDS (%) | 4 days ago 90% | 4 days ago 90% | 4 days ago 90% |
| Declines ODDS (%) | 12 days ago 83% | 10 days ago 86% | 10 days ago 83% |
| BollingerBands ODDS (%) | 7 days ago 85% | N/A | 7 days ago 83% |
| Aroon ODDS (%) | 3 days ago 89% | 3 days ago 90% | 3 days ago 87% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| HSMV | 37.22 | 0.40 | +1.08% |
| First Trust Horizon Managed Vol S/M ETF | |||
| SRET | 22.11 | 0.13 | +0.59% |
| Global X SuperDividend® REIT ETF | |||
| XEML | 23.66 | N/A | N/A |
| Xtrackers Europe Market Leaders ETF | |||
| BALI | 33.27 | -0.81 | -2.36% |
| iShares U.S. Large Cap Prm Inc Act ETF | |||
| CCNR | 39.63 | -2.02 | -4.86% |
| ALPS/CoreCommodity Natural Resources ETF | |||
A.I.dvisor indicates that over the last year, FTXN has been closely correlated with COP. These tickers have moved in lockstep 90% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTXN jumps, then COP could also see price increases.
| Ticker / NAME | Correlation To FTXN | 1D Price Change % | ||
|---|---|---|---|---|
| FTXN | 100% | -2.45% | ||
| COP - FTXN | 90% Closely correlated | -1.75% | ||
| EOG - FTXN | 89% Closely correlated | -2.20% | ||
| MUR - FTXN | 89% Closely correlated | -3.25% | ||
| DVN - FTXN | 88% Closely correlated | -3.72% | ||
| MGY - FTXN | 88% Closely correlated | -2.45% | ||
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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, VDE 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 VDE jumps, then XOM could also see price increases.