SSO and YINN represent two distinct leveraged strategies that appeal to investors seeking amplified equity exposure but target entirely different markets. SSO amplifies returns from the broad U.S. equity market, while YINN targets the performance of leading Chinese companies. They do not compete directly for the same investor base; instead, they serve as alternative tools for expressing directional views on U.S. versus Chinese equity performance. The comparison highlights structural differences in leverage, cost, diversification, and risk that matter for portfolio positioning in varying macroeconomic 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 is a leveraged exchange-traded fund that uses swaps, futures, and other derivatives to achieve its target exposure. It holds approximately 510 positions in practice through its derivative overlays, providing broad exposure to large- and mid-cap U.S. companies across major sectors including technology, financials, healthcare, consumer discretionary, and industrials. The net expense ratio stands at 0.87%. SSO is passively managed with daily rebalancing to maintain the 2x leverage target. Key distinguishing features include high liquidity on U.S. exchanges and suitability for short-term tactical allocation to U.S. large-cap equities.
Direxion Daily FTSE China Bull 3X Shares (YINN) seeks daily investment results, before fees and expenses, that correspond to three times (3x) the daily performance of the FTSE China 50 Index. The fund is a leveraged exchange-traded fund that primarily utilizes swap agreements and other derivatives to deliver the targeted exposure. The underlying index comprises the 50 largest and most liquid Chinese companies listed on the Hong Kong Stock Exchange, with significant weightings in financial services, consumer discretionary, communication services, and technology. The fund itself maintains a small number of direct holdings, often centered on related exchange-traded products and cash equivalents. The expense ratio is 1.34%. YINN is passively managed with daily rebalancing to sustain the 3x leverage. Distinguishing characteristics include concentrated emerging-market exposure and elevated sensitivity to China-specific macroeconomic and policy developments.
The U.S. equity market, represented by the S&P 500, continues to benefit from domestic economic resilience, corporate earnings growth in technology and financial sectors, and investor preference for large-cap quality names. In contrast, Chinese equities face ongoing influences from regulatory adjustments, property-sector dynamics, geopolitical tensions, and shifts in global supply chains. Capital flows into U.S. large-cap equities have remained relatively steady, while Chinese markets experience periodic volatility tied to policy signals and external trade relations. Both environments feature interest-rate sensitivity and sector rotation patterns that can amplify or dampen leveraged returns differently across the two regions.
In recent market cycles, SSO has tracked amplified movements in the broad U.S. equity market, benefiting from consistent sector leadership in technology and financials while exhibiting volatility consistent with 2x daily leverage. YINN has shown greater sensitivity to China-specific catalysts, including earnings reports from major internet and banking names and shifts in regulatory sentiment, resulting in more pronounced swings. Relative positioning favors SSO for investors seeking leveraged participation in a diversified developed-market index, whereas YINN offers higher-magnitude exposure to an emerging-market theme with distinct macroeconomic drivers. Volatility differences arise primarily from leverage levels and the underlying market’s liquidity and policy environment rather than isolated price events.
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 into ETFs such as SSO or YINN can leverage this platform for efficient idea generation.
Based on observable structural factors, Tickeron’s AI would currently assign a higher probabilistic preference to SSO. The lower expense ratio, broader diversification across U.S. large-cap holdings, and alignment with a more liquid and transparent developed-market index contribute to a comparatively favorable risk-adjusted profile for short-term leveraged exposure relative to YINN’s higher cost and concentrated China-specific risks.
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.
| SSO | YINN | SSO / YINN | |
| Gain YTD | 11.683 | -49.123 | -24% |
| Net Assets | 7.66B | 505M | 1,516% |
| Total Expense Ratio | 0.87 | 1.34 | 65% |
| Turnover | 4.00 | 147.00 | 3% |
| Yield | 0.61 | 1.45 | 42% |
| Fund Existence | 20 years | 17 years | - |
| SSO | YINN | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 85% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 84% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 88% | 2 days ago 90% |
| Advances ODDS (%) | 13 days ago 90% | 13 days ago 88% |
| Declines ODDS (%) | 2 days ago 84% | 2 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| 1 Day | |||
|---|---|---|---|
| ETFs / NAME | Price $ | Chg $ | Chg % |
| MHD | 11.75 | 0.05 | +0.43% |
| Blackrock Muniholdings Fund | |||
| CBLS | 33.45 | 0.10 | +0.30% |
| Clough Hedged Equity ETF | |||
| IBTQ | 25.20 | 0.06 | +0.24% |
| iShares iBonds Dec 2035 Term Trsy ETF | |||
| JANW | 38.31 | -0.13 | -0.34% |
| AllianzIM US Equity Buffer20 Jan ETF | |||
| QQQP | 218.80 | -3.19 | -1.44% |
| Tradr 2X Long Innovation100 QuarterlyETF | |||
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% | -0.97% | ||
| MSFT - SSO | 63% Loosely correlated | +5.71% | ||
| AAPL - SSO | 62% Loosely correlated | +3.14% | ||
| AMZN - SSO | 60% Loosely correlated | +2.50% | ||
| NVDA - SSO | 56% Loosely correlated | -1.64% |