QLD
Price
$86.26
Change
-$5.20 (-5.69%)
Updated
Oct 22 closing price
Net Assets
14.48B
Intraday BUY SELL Signals
SMU
Price
$7.02
Change
-$0.34 (-4.62%)
Updated
Oct 22 closing price
Net Assets
24.1M
Intraday BUY SELL Signals
SSO
Price
$69.32
Change
-$1.68 (-2.37%)
Updated
Oct 22 closing price
Net Assets
8.69B
Intraday BUY SELL Signals
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QLD or SMU or SSO

QLD vs SMU vs SSO Comparison Chart in %
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A.I.Advisor
Oct 21, 2026

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

Key Takeaways

  • QLD, SMU, and SSO are all leveraged ETFs targeting 2x daily returns but differ sharply in scope: broad technology exposure, single-stock nuclear focus, and broad large-cap market exposure, respectively.
  • QLD and SSO employ passive strategies tracking major equity indexes with hundreds of underlying holdings, while SMU uses active swap-based management on a single security, resulting in extreme concentration risk.
  • Expense ratios vary meaningfully, with SSO offering the lowest cost structure among the three, followed by QLD, and SMU carrying the highest due to its specialized single-name leverage approach.
  • Diversification depth is highest in SSO and QLD through multi-sector index replication, whereas SMU provides no sector diversification beyond its target holding in the nuclear energy space.
  • These ETFs suit short-term tactical use only; their daily reset mechanisms create compounding effects that diverge significantly from 2x benchmark returns over multi-day periods.
  • Structural differences position SSO and QLD for broad market amplification, while SMU offers targeted leveraged exposure to one company's performance in the nuclear sector.

Introduction

ProShares Ultra QQQ (QLD), Tradr 2X Long SMR Daily ETF (SMU), and ProShares Ultra S&P500 (SSO) represent three distinct approaches to leveraged equity exposure. While QLD and SSO track well-known broad market indexes with daily 2x objectives, SMU applies the same leverage multiplier to a single stock. These funds compete within the leveraged ETF category yet serve different investor needs: technology sector amplification, concentrated thematic bets, and overall market beta enhancement. Their structural variations in holdings, costs, and risk profiles make them relevant for comparison in the current environment of elevated volatility and sector-specific momentum.

ProShares Ultra QQQ (QLD) Overview

ProShares Ultra QQQ (QLD) seeks daily investment results, before fees and expenses, that correspond to two times (2x) the daily performance of the Nasdaq-100 Index. The fund typically holds a large number of positions through swaps and other derivatives to achieve its leverage target. Top holdings reflect heavy exposure to leading technology and growth companies within the index. Sector allocation concentrates in technology, consumer discretionary, and communication services. Its expense ratio stands at approximately 0.95 percent. As a passive leveraged product, QLD resets exposure daily and is designed for short-term trading rather than long-term buy-and-hold strategies.

Tradr 2X Long SMR Daily ETF (SMU) Overview

Tradr 2X Long SMR Daily ETF (SMU) seeks daily investment results, before fees and expenses, that correspond to two times (2x) the daily performance of NuScale Power Corp. (SMR). The fund maintains a very small number of holdings, primarily through total return swaps on the single underlying security. It carries no meaningful sector diversification beyond the nuclear energy industry. The expense ratio is 1.30 percent. SMU employs an active management approach utilizing derivatives and is explicitly positioned as a short-term tactical instrument with daily rebalancing to maintain the target leverage.

ProShares Ultra S&P500 (SSO) Overview

ProShares Ultra S&P500 (SSO) seeks daily investment results, before fees and expenses, that correspond to two times (2x) the daily performance of the S&P 500 Index. The fund typically maintains exposure through a combination of swaps and futures backed by cash equivalents, resulting in hundreds of effective underlying positions. Sector allocation mirrors the broad diversification of the S&P 500 across technology, financials, healthcare, and other major groups. Its expense ratio is approximately 0.85 percent. SSO follows a passive leveraged structure with daily resets, making it suitable for tactical market exposure rather than extended holding periods.

Industry and Thematic Landscape

Leveraged ETFs operate within an environment shaped by macroeconomic factors including interest rate expectations, corporate earnings growth, and sector-specific trends such as artificial intelligence adoption and energy transition initiatives. Capital flows into technology and growth-oriented products have influenced broader index performance, while regulatory developments around nuclear power and clean energy continue to affect single-name opportunities. Earnings trends among large-cap constituents remain key drivers, alongside geopolitical considerations that can amplify volatility across equity markets. These external forces impact the relative attractiveness of broad versus concentrated leveraged strategies.

Performance and Positioning Comparison

In recent market cycles, the broad-index leveraged ETFs have demonstrated sensitivity to overall equity trends, with performance differences arising from sector composition and concentration levels. SSO has historically provided more balanced exposure across market segments, potentially resulting in lower relative volatility compared to technology-heavy alternatives during certain periods. SMU's single-stock structure introduces substantially higher drawdown potential and trend inconsistency tied to one company's news flow. Volatility and compounding effects from daily resets tend to be more pronounced in concentrated products, while diversified leveraged funds exhibit greater consistency with their underlying benchmarks over short windows.

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. Explore the AI Screener to uncover additional opportunities aligned with your strategy.

Tickeron AI Verdict

Based on observable structural characteristics, Tickeron’s AI would currently assign higher probabilistic favor to ProShares Ultra S&P500 (SSO). Its combination of broad diversification across hundreds of holdings, lower expense ratio, and balanced sector exposure provides superior risk-adjusted positioning and momentum stability relative to the more concentrated alternatives. ProShares Ultra QQQ (QLD) follows closely due to its established liquidity and technology tilt, while Tradr 2X Long SMR Daily ETF (SMU) ranks lower given its single-name concentration and elevated costs.

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

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SUMMARIES
A.I.Advisor
a Summary for QLD with price predictions
Oct 22, 2026

Momentum Indicator for QLD turns negative, indicating new downward trend

QLD saw its Momentum Indicator move below the 0 level on October 14, 2026. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 88 similar instances where the indicator turned negative. In 80 of the 88 cases, the stock moved further down in the following days. The odds of a decline are at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Moving Average Convergence Divergence Histogram (MACD) for QLD turned negative on October 13, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 47 similar instances when the indicator turned negative. In 44 of the 47 cases the stock turned lower in the days that followed. This puts the odds of success at 90%.

QLD moved below its 50-day moving average on October 14, 2026 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for QLD crossed bearishly below the 50-day moving average on October 22, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 17 of 18 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 90%.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where QLD declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 87%.

Bullish Trend Analysis

The RSI Oscillator points to a transition from a downward trend to an upward trend -- in cases where QLD's RSI Oscillator exited the oversold zone, 24 of 28 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 86%.

The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 6 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.

Following a +2.69% 3-day Advance, the price is estimated to grow further. Considering data from situations where QLD advanced for three days, in 325 of 364 cases, the price rose further within the following month. The odds of a continued upward trend are 89%.

QLD may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

The Aroon Indicator entered an Uptrend today. In 297 of 320 cases where QLD Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are 90%.

A.I.Advisor
a Summary for SMU with price predictions
Oct 22, 2026

SMU in downward trend: 10-day moving average moved below 50-day moving average on September 18, 2026

The 10-day moving average for SMU crossed bearishly below the 50-day moving average on September 18, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In 3 of 3 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

Following a 3-day decline, the stock is projected to fall further. Considering past instances where SMU declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 90%.

The Aroon Indicator for SMU entered a downward trend on October 22, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

Bullish Trend Analysis

The RSI Indicator shows that the ticker has stayed in the oversold zone for 8 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an Uptrend is expected.

SMU may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

A.I.Advisor
a Summary for SSO with price predictions
Oct 22, 2026

Aroon Indicator for SSO shows an upward move is likely

SSO's Aroon Indicator triggered a bullish signal on October 15, 2026. Tickeron's A.I.dvisor detected that the AroonUp green line is above 70 while the AroonDown red line is below 30. When the up indicator moves above 70 and the down indicator remains below 30, it is a sign that the stock could be setting up for a bullish move. Traders may want to buy the stock or look to buy calls options. A.I.dvisor looked at 387 similar instances where the Aroon Indicator showed a similar pattern. In 348 of the 387 cases, the stock moved higher in the days that followed. This puts the odds of a move higher at 90%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. 43 of 51 cases where SSO's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 84%.

Following a +1.68% 3-day Advance, the price is estimated to grow further. Considering data from situations where SSO advanced for three days, in 319 of 356 cases, the price rose further within the following month. The odds of a continued upward trend are 90%.

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on October 16, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on SSO as a result. In 61 of 75 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 81%.

The Moving Average Convergence Divergence Histogram (MACD) for SSO turned negative on October 15, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 54 similar instances when the indicator turned negative. In 44 of the 54 cases the stock turned lower in the days that followed. This puts the odds of success at 81%.

SSO moved below its 50-day moving average on October 22, 2026 date and that indicates a change from an upward trend to a downward trend.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where SSO declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 84%.

TECHNICAL ANALYSIS
Technical Analysis
QLDSMUSSO
RSI
ODDS (%)
Bullish Trend 1 day ago
86%
Bullish Trend 1 day ago
90%
N/A
Stochastic
ODDS (%)
Bullish Trend 1 day ago
90%
N/A
Bullish Trend 1 day ago
84%
Momentum
ODDS (%)
Bearish Trend 1 day ago
90%
N/A
Bearish Trend 1 day ago
81%
MACD
ODDS (%)
Bearish Trend 1 day ago
90%
N/A
Bearish Trend 1 day ago
81%
TrendWeek
ODDS (%)
Bearish Trend 1 day ago
89%
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
85%
TrendMonth
ODDS (%)
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Bearish Trend 1 day ago
87%
Advances
ODDS (%)
Bullish Trend 17 days ago
89%
N/A
Bullish Trend 2 days ago
90%
Declines
ODDS (%)
Bearish Trend 7 days ago
87%
Bearish Trend 1 day ago
90%
Bearish Trend 9 days ago
84%
BollingerBands
ODDS (%)
Bullish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
N/A
Aroon
ODDS (%)
Bullish Trend 1 day ago
90%
Bearish Trend 1 day ago
90%
Bullish Trend 1 day ago
90%
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QLD
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SSO
Daily Signal:
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