SMU
Price
$4.96
Change
-$2.25 (-31.21%)
Updated
Sep 11 closing price
Net Assets
57.32M
Intraday BUY SELL Signals
SSO
Price
$69.63
Change
+$1.13 (+1.65%)
Updated
Sep 11 closing price
Net Assets
8.77B
Intraday BUY SELL Signals
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SMU vs SSO

SMU vs SSO Comparison Chart in %
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A.I.Advisor
Aug 29, 2026

Which ETF would AI Choose? Tradr 2X Long SMR Daily ETF (SMU) vs. ProShares Ultra S&P500 (SSO)

Key Takeaways

  • SMU delivers 2x daily leveraged exposure to the single stock NuScale Power Corp. (SMR) in the nuclear energy sector, while SSO seeks 2x daily returns of the broad S&P 500 Index.
  • SMU maintains a higher expense ratio of 1.30% compared with SSO’s 0.87%, reflecting its specialized single-asset focus and swap-based structure.
  • SMU is non-diversified with typically fewer than ten holdings centered on derivatives, whereas SSO holds exposure to approximately 500 large-cap U.S. equities.
  • SMU targets thematic growth in small modular nuclear reactors, while SSO provides magnified broad-market equity exposure without sector concentration.
  • Both ETFs employ daily rebalancing to maintain leverage targets, making them suited for short-term tactical use rather than long-term buy-and-hold strategies.
  • SMU carries elevated volatility and tracking risk due to single-stock leverage, whereas SSO’s diversified base reduces idiosyncratic risk but still amplifies market moves.

Introduction

Investors seeking amplified equity exposure often compare leveraged products that pursue similar daily-return objectives yet differ markedly in underlying focus. The Tradr 2X Long SMR Daily ETF (SMU) and ProShares Ultra S&P500 (SSO) both target 200% of daily performance, but one concentrates on a single nuclear-energy company while the other magnifies the broad U.S. large-cap market. This structural contrast makes them relevant alternatives for investors evaluating thematic versus diversified leveraged strategies in the current environment of energy-transition interest and equity-market participation.

Tradr 2X Long SMR Daily ETF (SMU) Overview

The Tradr 2X Long SMR Daily ETF (SMU) seeks daily investment results, before fees and expenses, that correspond to two times the daily performance of NuScale Power Corp. (SMR). Launched in July 2025, the fund is non-diversified and typically implements its objective through total-return swap agreements, with limited direct holdings. It maintains roughly six positions, dominated by swap contracts and cash equivalents. The expense ratio stands at 1.30%. Because the strategy resets leverage daily, returns over periods longer than one trading day can deviate substantially from the stated multiple. The fund provides concentrated exposure to the small-modular-reactor theme within the broader industrials and energy sectors.

ProShares Ultra S&P500 (SSO) Overview

The ProShares Ultra S&P500 (SSO) seeks daily investment results, before fees and expenses, that correspond to two times the daily performance of the S&P 500 Index. Introduced in 2006, the ETF is passively managed and uses a combination of swaps, futures, and equity holdings to achieve its leverage target. It typically provides exposure to approximately 500 large- and mid-cap U.S. companies across all major sectors. The net expense ratio is 0.87%. Like other daily-reset leveraged products, SSO requires frequent monitoring for multi-day holding periods. The fund offers broad, market-cap-weighted U.S. equity amplification without thematic concentration.

Industry and Thematic Backdrop

Both ETFs operate within an environment shaped by accelerating demand for reliable, low-carbon power and sustained equity-market participation. Nuclear-energy developments, including policy support for small modular reactors, influence the thematic backdrop relevant to SMU. Simultaneously, artificial-intelligence infrastructure buildout, corporate earnings cycles, and interest-rate expectations continue to drive broad equity sentiment that affects SSO. Capital flows into energy-transition assets and large-cap technology leaders remain notable macro drivers, while regulatory clarity around nuclear licensing and overall market volatility constitute key risks for leveraged strategies.

Performance and Positioning Comparison

In recent market cycles, SMU has exhibited significantly higher volatility consistent with single-stock 2x leverage, amplifying moves in the nuclear-energy theme. SSO has delivered magnified broad-market returns, benefiting from sector rotation toward large-cap growth companies while maintaining diversification across the S&P 500. During periods of rising interest-rate expectations or commodity volatility, the concentrated nuclear focus of SMU has produced sharper swings than the diversified equity exposure of SSO. Relative positioning therefore hinges on an investor’s view of thematic momentum versus broad equity participation, with both vehicles subject to the compounding effects of daily rebalancing.

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.

Tickeron AI Verdict

Based on observable structural characteristics, the Tickeron AI would currently assign a higher probability of favorability to the ProShares Ultra S&P500 (SSO). Lower expense ratio, substantially greater diversification across hundreds of holdings, and longer operating history contribute to a more resilient risk profile compared with the single-stock concentration and higher costs associated with the Tradr 2X Long SMR Daily ETF (SMU). Trend consistency and sector-momentum considerations further support this probabilistic assessment under prevailing market conditions.

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
SMU vs. SSO 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 SMU is a Hold and SSO is a StrongBuy.

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SUMMARIES
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FUNDAMENTALS
Fundamentals
SSO has more net assets: 8.77B vs. SMU (57.3M). SSO has a higher annual dividend yield than SMU: SSO (20.715) vs SMU (-83.995). SMU was incepted earlier than SSO: SMU (1 year) vs SSO (20 years). SSO (0.87) has a lower expense ratio than SMU (1.30). SSO has a higher turnover SMU (0.00) vs SMU (0.00).
SMUSSOSMU / SSO
Gain YTD-83.99520.715-405%
Net Assets57.3M8.77B1%
Total Expense Ratio1.300.87149%
Turnover0.0012.00-
Yield0.000.64-
Fund Existence1 year20 years-
TECHNICAL ANALYSIS
Technical Analysis
SMUSSO
RSI
ODDS (%)
N/A
Bearish Trend 2 days ago
90%
Stochastic
ODDS (%)
Bearish Trend 2 days ago
90%
Bullish Trend 2 days ago
90%
Momentum
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
88%
MACD
ODDS (%)
N/A
Bearish Trend 2 days ago
84%
TrendWeek
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
85%
TrendMonth
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 2 days ago
87%
Advances
ODDS (%)
Bullish Trend 10 days ago
90%
Bullish Trend 10 days ago
90%
Declines
ODDS (%)
Bearish Trend 2 days ago
90%
Bearish Trend 3 days ago
84%
BollingerBands
ODDS (%)
Bearish Trend 2 days ago
88%
Bullish Trend 2 days ago
90%
Aroon
ODDS (%)
Bullish Trend 2 days ago
86%
Bearish Trend 2 days ago
90%
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SSO and

Correlation & Price change

A.I.dvisor indicates that over the last year, SSO has been loosely correlated with MSFT. These tickers have moved in lockstep 63% of the time. This A.I.-generated data suggests there is some statistical probability that if SSO jumps, then MSFT could also see price increases.

1D
1W
1M
1Q
6M
1Y
5Y
Ticker /
NAME
Correlation
To SSO
1D Price
Change %
SSO100%
+1.65%
MSFT - SSO
63%
Loosely correlated
+0.65%
AAPL - SSO
62%
Loosely correlated
+1.75%
AMZN - SSO
60%
Loosely correlated
+1.94%
NVDA - SSO
56%
Loosely correlated
-0.03%