ProShares Ultra S&P500 (SSO) and Direxion Daily TSM Bull 2X Shares (TSMX) represent two distinct approaches within the leveraged ETF space. SSO targets amplified daily performance of the entire S&P 500, appealing to investors seeking broad U.S. equity leverage. TSMX focuses exclusively on one leading semiconductor firm. These ETFs do not compete directly for the same mandate but serve investors pursuing leveraged exposure with differing risk and diversification profiles. The comparison highlights how structural choices influence suitability across market environments.
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 employs a passive, leveraged strategy using total return swaps and futures contracts backed by cash equivalents such as Treasury bills. It holds approximately 500 underlying positions through synthetic replication rather than direct ownership of all index constituents. Top exposures align with S&P 500 weights, including major technology and growth companies. The gross expense ratio is 0.88%, with a net expense ratio of 0.87%. As a daily-reset product, SSO resets exposure each trading session and suits short-term tactical use rather than long-term buy-and-hold strategies.
Direxion Daily TSM Bull 2X Shares (TSMX) seeks daily investment results, before fees and expenses, of 200% of the performance of the common shares of Taiwan Semiconductor Manufacturing Co Ltd (TSM). Launched in October 2024, the fund uses a non-diversified, leveraged structure relying on swap agreements and other derivatives to achieve 2x daily exposure. Holdings consist primarily of swaps and cash instruments, resulting in a small number of line items. The expense ratio is 0.99%. TSMX resets daily and carries concentrated risk tied to a single issuer in the semiconductor sector. Like other single-stock leveraged ETFs, it targets short-term trading horizons.
Both ETFs operate within environments shaped by technology leadership and macroeconomic influences. The S&P 500 encompasses broad sector representation, including technology, financials, and healthcare, while TSMX centers on semiconductors, a segment driven by artificial intelligence demand, advanced chip manufacturing, and global supply chains. Capital flows into semiconductor-related assets have responded to earnings cycles, export regulations, and capital expenditure trends among major technology firms. Macroeconomic drivers such as interest rate expectations and trade policy developments can affect both broad equity leverage and single-name semiconductor exposure. Sector risks include valuation compression in growth areas and geopolitical tensions impacting Taiwan-based manufacturing.
In recent market cycles, SSO has reflected amplified movements of the broad U.S. large-cap market, benefiting from diversified sector participation during equity rallies while experiencing corresponding drawdowns in corrections. TSMX has exhibited higher volatility consistent with its single-stock focus, with performance closely tracking semiconductor demand cycles and company-specific developments. Relative positioning shows SSO providing more stable beta to overall market trends, whereas TSMX offers leveraged participation in semiconductor momentum but with elevated sensitivity to earnings reports, capacity expansions, and regulatory news. Both products demonstrate the effects of daily compounding, which can cause returns to deviate from exact multiples over longer holding periods.
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’s AI would currently assign a higher probability of structural favorability to ProShares Ultra S&P500 (SSO) due to its broader diversification across hundreds of holdings, slightly lower expense ratio, and established liquidity profile within the leveraged ETF category. TSMX offers compelling targeted exposure but carries elevated concentration risk. The assessment rests on observable factors including diversification, cost efficiency, and consistency of underlying exposure rather than short-term price action.
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| SSO | TSMX | |
|---|---|---|
| RSI ODDS (%) | N/A | N/A |
| Stochastic ODDS (%) | 1 day ago 86% | 1 day ago 90% |
| Momentum ODDS (%) | 1 day ago 90% | 1 day ago 90% |
| MACD ODDS (%) | 1 day ago 80% | 1 day ago 90% |
| TrendWeek ODDS (%) | 1 day ago 85% | 1 day ago 90% |
| TrendMonth ODDS (%) | 1 day ago 88% | 1 day ago 90% |
| Advances ODDS (%) | 12 days ago 90% | 4 days ago 90% |
| Declines ODDS (%) | 3 days ago 84% | 18 days ago 88% |
| BollingerBands ODDS (%) | 1 day ago 90% | 1 day ago 78% |
| Aroon ODDS (%) | 1 day ago 85% | 1 day ago 90% |
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.
| Ticker / NAME | Correlation To SSO | 1D Price Change % | ||
|---|---|---|---|---|
| SSO | 100% | +0.38% | ||
| MSFT - SSO | 63% Loosely correlated | -0.02% | ||
| AAPL - SSO | 62% Loosely correlated | -0.81% | ||
| AMZN - SSO | 60% Loosely correlated | -0.37% | ||
| NVDA - SSO | 56% Loosely correlated | +1.09% |
A.I.dvisor indicates that over the last year, TSMX has been closely correlated with TSM. These tickers have moved in lockstep 100% of the time. This A.I.-generated data suggests there is a high statistical probability that if TSMX jumps, then TSM could also see price increases.
| Ticker / NAME | Correlation To TSMX | 1D Price Change % | ||
|---|---|---|---|---|
| TSMX | 100% | +1.43% | ||
| TSM - TSMX | 100% Closely correlated | +0.66% |