FTWO
Price
$47.08
Change
-$0.12 (-0.25%)
Updated
Sep 11 closing price
Net Assets
78.69M
Intraday BUY SELL Signals
XME
Price
$113.63
Change
-$1.14 (-0.99%)
Updated
Sep 11 closing price
Net Assets
4.7B
Intraday BUY SELL Signals
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FTWO vs XME

FTWO vs XME Comparison Chart in %
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A.I.Advisor
Aug 26, 2026

Which ETF would AI Choose? Strive Natural Resources and Security ETF (FTWO) vs. SPDR S&P Metals & Mining ETF (XME)

Key Takeaways

  • FTWO provides diversified exposure across five thematic sectors—fuel, aerospace and defense, agriculture, nuclear, and gold and precious metals—while XME focuses exclusively on the metals and mining industry.
  • FTWO tracks a custom index with market-cap weighting within equally weighted sectors and maintains 51 holdings; XME follows the S&P Metals and Mining Select Industry Index with a modified equal-weighted approach and approximately 39 holdings.
  • Expense ratios differ meaningfully: FTWO charges 0.49 percent while XME charges 0.35 percent, giving XME a structural cost advantage for long-term holding.
  • Both ETFs are passively managed and target natural resources, yet FTWO incorporates broader national security themes and Strive’s corporate governance engagement, whereas XME emphasizes pure-play mining equities across metals sub-industries.
  • FTWO’s non-diversified structure and sector-equal weighting create higher concentration risk within its themes, while XME’s equal-weight methodology reduces single-stock concentration but increases exposure to smaller mining firms.
  • In recent market cycles, relative performance has been driven by commodity price trends, defense spending, and energy transition dynamics, with each ETF exhibiting distinct volatility profiles tied to its sector mix.

Introduction

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.

Strive Natural Resources and Security ETF (FTWO) Overview

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.

SPDR S&P Metals & Mining ETF (XME) Overview

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.

Industry and Thematic Backdrop

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.

Performance and Positioning Comparison

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.

AI Screener

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.

Tickeron AI Verdict

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.

Disclaimer

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.

Disclaimers and Limitations

VS
FTWO vs. XME commentary
Sep 13, 2026

To compare these two companies we present long-term analysis, their fundamental ratings and make comparative short-term technical analysis which are presented below. The conclusion is FTWO is a Hold and XME is a Hold.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
XME has more net assets: 4.7B vs. FTWO (78.7M). FTWO has a higher annual dividend yield than XME: FTWO (16.215) vs XME (9.814). FTWO was incepted earlier than XME: FTWO (3 years) vs XME (20 years). XME (0.35) has a lower expense ratio than FTWO (0.49). XME has a higher turnover FTWO (23.00) vs FTWO (23.00).
FTWOXMEFTWO / XME
Gain YTD16.2159.814165%
Net Assets78.7M4.7B2%
Total Expense Ratio0.490.35140%
Turnover23.0048.0048%
Yield0.860.32274%
Fund Existence3 years20 years-
TECHNICAL ANALYSIS
Technical Analysis
FTWOXME
RSI
ODDS (%)
Bearish Trend 2 days ago
78%
Bearish Trend 2 days ago
83%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
64%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
Bearish Trend 2 days ago
74%
Bearish Trend 2 days ago
80%
MACD
ODDS (%)
Bearish Trend 2 days ago
74%
Bearish Trend 2 days ago
83%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
71%
Bearish Trend 2 days ago
86%
TrendMonth
ODDS (%)
Bullish Trend 2 days ago
88%
Bearish Trend 2 days ago
85%
Advances
ODDS (%)
Bullish Trend 10 days ago
90%
Bullish Trend 5 days ago
90%
Declines
ODDS (%)
Bearish Trend 2 days ago
74%
Bearish Trend 2 days ago
87%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
75%
Bullish Trend 2 days ago
85%
Aroon
ODDS (%)
Bullish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
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Daily Signal:
Gain/Loss:
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FTWO and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To FTWO
1D Price
Change %
FTWO100%
-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%
More

XME and

Correlation & Price change

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.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To XME
1D Price
Change %
XME100%
-0.99%
CDE - XME
77%
Closely correlated
+1.18%
MP - XME
71%
Closely correlated
-1.58%
NEM - XME
71%
Closely correlated
+0.53%
CLF - XME
59%
Loosely correlated
+1.94%
CMP - XME
54%
Loosely correlated
-1.08%
More