RETL and SSO represent two distinct leveraged ETF strategies that appeal to investors seeking amplified equity exposure. RETL targets the retail sector with triple leverage, while SSO magnifies broad large-cap U.S. market performance with double leverage. They do not compete directly but offer alternative ways to express bullish views on consumer trends versus overall economic growth. This comparison highlights their structural differences to help investors evaluate fit within tactical allocation frameworks.
The Direxion Daily Retail Bull 3X ETF seeks daily investment results, before fees and expenses, of 300% of the performance of the S&P Retail Select Industry Index. It maintains approximately 80 holdings concentrated in retail and consumer discretionary companies. Top holdings typically include names such as Grocery Outlet Holding Corporation, Sonic Automotive, and Murphy USA. Sector allocation centers almost entirely on consumer discretionary and related retail sub-industries. The fund carries a gross and net expense ratio of 0.96%. As a leveraged ETF, it resets exposure daily and does not seek to deliver the multiple over periods longer than one day. This structure suits short-term tactical trades tied to retail spending patterns and consumer confidence indicators.
The ProShares Ultra S&P500 seeks daily investment results, before fees and expenses, that correspond to two times (2x) the daily performance of the S&P 500 Index. It holds approximately 500 securities that replicate the composition of the S&P 500. Top holdings reflect the index's largest constituents, including technology leaders such as NVIDIA Corporation, Apple Inc., and Microsoft Corporation. Sector allocations mirror the broad S&P 500, with significant weights in information technology, financials, and healthcare. The fund features a net expense ratio of 0.87%. Like other daily-reset leveraged products, SSO aims to achieve its multiple only for a single trading day and exhibits compounding effects over longer horizons. Its broad diversification provides leveraged participation across the U.S. large-cap equity market.
The retail sector tracked by RETL remains sensitive to consumer spending patterns, interest rate environments, and e-commerce shifts. Broader macroeconomic factors such as employment levels, inflation trends, and discretionary income influence retail performance. SSO's underlying S&P 500 exposure reflects economy-wide dynamics, including corporate earnings growth, technological innovation, and monetary policy impacts. Recent market cycles have featured rotation between growth-oriented large caps and value-oriented consumer sectors, driven by evolving interest rate expectations and supply-chain developments. Both ETFs operate within an environment shaped by ongoing capital flows into U.S. equities and periodic adjustments in leverage demand among tactical investors.
In recent market cycles, RETL has exhibited higher volatility due to its 3x leverage and concentrated retail exposure, amplifying moves tied to consumer sentiment and sector-specific news. SSO has delivered magnified participation in broad equity rallies and declines, benefiting from the S&P 500's diversification across multiple sectors. Relative positioning favors SSO for investors seeking leveraged broad-market beta, while RETL suits those targeting retail recovery or expansion themes. Both funds' daily-reset mechanisms lead to performance deviations from their stated multiples over multi-day periods, particularly in volatile or trending markets. Expense differentials and leverage multiples further differentiate their long-term compounding profiles.
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Tickeron’s AI would likely favor SSO in the current environment due to its lower expense ratio, broader diversification across the S&P 500, and alignment with sustained large-cap momentum. RETL's higher cost and narrower retail concentration introduce greater sector-specific risk, though it may appeal during targeted consumer spending upswings. The probabilistic assessment prioritizes structural efficiency and diversified trend exposure over concentrated thematic bets.
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| RETL | SSO | RETL / SSO | |
| Gain YTD | -0.121 | 16.156 | -1% |
| Net Assets | 35.2M | 8.02B | 0% |
| Total Expense Ratio | 0.96 | 0.87 | 110% |
| Turnover | 71.00 | 4.00 | 1,775% |
| Yield | 0.56 | 0.67 | 83% |
| Fund Existence | 16 years | 20 years | - |
| RETL | SSO | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 85% |
| Momentum ODDS (%) | N/A | 2 days ago 90% |
| MACD ODDS (%) | N/A | 2 days ago 83% |
| TrendWeek ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 88% |
| Advances ODDS (%) | 10 days ago 90% | 4 days ago 90% |
| Declines ODDS (%) | 4 days ago 90% | 2 days ago 84% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 88% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, RETL has been closely correlated with CAL. These tickers have moved in lockstep 72% of the time. This A.I.-generated data suggests there is a high statistical probability that if RETL jumps, then CAL could also see price increases.
| Ticker / NAME | Correlation To RETL | 1D Price Change % | ||
|---|---|---|---|---|
| RETL | 100% | +0.77% | ||
| CAL - RETL | 72% Closely correlated | -5.49% | ||
| SHOE - RETL | 66% Loosely correlated | N/A | ||
| SIG - RETL | 65% Loosely correlated | -0.64% | ||
| GAP - RETL | 64% Loosely correlated | +2.28% | ||
| ABG - RETL | 64% Loosely correlated | +3.73% | ||
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