Strive Natural Resources and Security ETF (FTWO) and SPDR S&P Metals & Mining ETF (XME) both offer equity exposure to natural resources, yet they pursue different strategies within the broader sector. FTWO targets a combination of national security and resource security themes across multiple industries, while XME delivers concentrated access to the U.S. metals and mining segment. Investors comparing the two ETFs are typically evaluating trade-offs between thematic breadth, cost efficiency, diversification methodology, and alignment with specific commodity or defense outlooks rather than direct head-to-head competition.
FTWO seeks to track the total return performance, before fees and expenses, of the Bloomberg Natural Resources & Security Index. The index selects large- and mid-capitalization companies engaged in national security and natural resource security, organized into five equally weighted sectors: fuel, aerospace and defense, agriculture, nuclear, and gold and precious metals. Within each sector, constituents are market-cap weighted, and the index rebalances quarterly. The ETF holds 51 securities, remains non-diversified, and carries an expense ratio of 0.49 percent. Strive Asset Management applies active corporate governance practices, including proxy voting, to encourage management focus on long-term value creation. The fund is structured as a passive index-tracking vehicle with an inception date of August 30, 2023.
XME seeks to provide investment results that, before fees and expenses, correspond generally to the total return performance of the S&P Metals and Mining Select Industry Index. The index represents the metals and mining segment of the S&P Total Market Index and includes sub-industries such as aluminum, coal and consumable fuels, copper, diversified metals and mining, gold, precious metals and minerals, silver, and steel. XME employs a modified equal-weighted methodology with quarterly rebalancing and typically holds approximately 39 securities. The ETF carries a gross expense ratio of 0.35 percent, is passively managed, and has been in existence since June 19, 2006. The equal-weight approach gives greater representation to smaller and mid-sized mining companies compared with market-cap-weighted alternatives.
The natural resources sector continues to be shaped by ongoing energy transition efforts, defense budget allocations, and commodity supply dynamics. Capital flows into critical minerals supporting electrification, nuclear power expansion, and defense supply chains have supported interest in both thematic and traditional mining exposures. Macroeconomic drivers include interest rate expectations, global industrial demand, and geopolitical developments affecting energy and metals supply chains. Regulatory developments around mining permitting and environmental standards remain key risks, while sector rotation tied to economic growth cycles influences relative performance between broader resource baskets and pure metals plays.
In recent market cycles, FTWO’s multi-sector construction has produced performance influenced by a combination of energy prices, defense spending trends, agricultural commodity cycles, and precious metals movements. XME’s equal-weighted metals and mining focus has tied its results more directly to individual metal price volatility and mining company earnings. FTWO’s broader thematic reach may moderate volatility relative to pure metals exposure during periods of narrow commodity outperformance, while XME’s methodology can amplify returns when smaller mining names lead sector advances. Both ETFs exhibit sensitivity to macroeconomic shifts such as inflation expectations and global growth, yet their distinct sector compositions create differentiated risk and return profiles over intermediate time frames.
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 data-driven insights on ETFs like FTWO and XME may find the platform useful for refining screening criteria and exploring additional opportunities.
Based on observable structural factors including lower expense ratio, established track record, and focused equal-weighted exposure to the metals and mining segment, Tickeron’s AI would currently assign a modestly higher probability of favorable positioning to XME over medium-term horizons. FTWO offers compelling thematic breadth and governance features, yet the cost differential and narrower, specialized mandate of XME align with efficiency considerations in the current environment. Investors should evaluate both ETFs against their specific risk tolerance and thematic preferences.
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.
| FTWO | XME | FTWO / XME | |
| Gain YTD | 16.215 | 9.814 | 165% |
| Net Assets | 78.7M | 4.7B | 2% |
| Total Expense Ratio | 0.49 | 0.35 | 140% |
| Turnover | 23.00 | 48.00 | 48% |
| Yield | 0.86 | 0.32 | 274% |
| Fund Existence | 3 years | 20 years | - |
| FTWO | XME | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 78% | 2 days ago 83% |
| Stochastic ODDS (%) | 2 days ago 64% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 74% | 2 days ago 80% |
| MACD ODDS (%) | 2 days ago 74% | 2 days ago 83% |
| TrendWeek ODDS (%) | 2 days ago 71% | 2 days ago 86% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 85% |
| Advances ODDS (%) | 10 days ago 90% | 5 days ago 90% |
| Declines ODDS (%) | 2 days ago 74% | 2 days ago 87% |
| BollingerBands ODDS (%) | 2 days ago 75% | 2 days ago 85% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| CAML | 39.95 | 0.44 | +1.11% |
| Congress Large Cap Growth ETF | |||
| QGRO | 116.33 | 1.18 | +1.02% |
| American Century US Quality Growth ETF | |||
| HECA | 27.74 | 0.17 | +0.60% |
| Hedgeye Capital Allocation ETF | |||
| ACES | 29.67 | -0.10 | -0.34% |
| ALPS Clean Energy ETF | |||
| BMNZ | 5.26 | -0.41 | -7.23% |
| Defiance Daily Target 2X Short BMNR ETF | |||
A.I.dvisor indicates that over the last year, FTWO has been closely correlated with NEM. These tickers have moved in lockstep 75% of the time. This A.I.-generated data suggests there is a high statistical probability that if FTWO jumps, then NEM could also see price increases.
| Ticker / NAME | Correlation To FTWO | 1D Price Change % | ||
|---|---|---|---|---|
| FTWO | 100% | -0.26% | ||
| NEM - FTWO | 75% Closely correlated | +0.53% | ||
| AEM - FTWO | 74% Closely correlated | +1.87% | ||
| WPM - FTWO | 74% Closely correlated | +2.08% | ||
| FNV - FTWO | 71% Closely correlated | +2.05% | ||
| BWXT - FTWO | 62% Loosely correlated | -1.55% | ||
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A.I.dvisor indicates that over the last year, XME has been closely correlated with CDE. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if XME jumps, then CDE could also see price increases.