ProShares UltraPro QQQ (TQQQ) and Direxion Daily FTSE China Bull 3X Shares (YINN) represent two distinct leveraged exchange-traded funds (ETFs) that appeal to investors pursuing amplified daily returns. TQQQ delivers 3x daily performance of the Nasdaq-100 Index, emphasizing U.S. technology leaders, while YINN seeks 3x daily results of the FTSE China 50 Index, focusing on major Chinese companies. These ETFs do not compete head-to-head but provide alternative leveraged pathways for investors targeting growth sectors in different geographic markets. The comparison highlights structural variances in index exposure, cost, and risk profiles relevant amid evolving global equity dynamics.
ProShares UltraPro QQQ (TQQQ) is a leveraged ETF that seeks daily investment results, before fees and expenses, corresponding to three times (3x) the daily performance of the Nasdaq-100 Index. The fund maintains exposure through derivatives and typically holds around 100 positions mirroring the underlying index constituents. Top holdings concentrate in major technology firms such as Apple, Microsoft, Nvidia, Amazon, and Meta Platforms. Sector allocation heavily favors information technology, consumer discretionary, and communication services. With an expense ratio of 0.95%, TQQQ operates as a passive, daily-reset leveraged product. Its structure supports high liquidity on U.S. exchanges and suits short-term tactical positioning rather than long-term buy-and-hold strategies.
Direxion Daily FTSE China Bull 3X Shares (YINN) is a leveraged ETF designed to deliver three times (3x) the daily performance of the FTSE China 50 Index before fees and expenses. The index comprises the 50 largest and most liquid Chinese companies listed on the Hong Kong Stock Exchange. Holdings center on these 50 constituents, with significant weight in financials, consumer staples, and technology sectors within China. The expense ratio stands at 1.52%. YINN employs a passive, daily-reset leveraged approach using swaps and other derivatives. It provides targeted exposure to Chinese large-cap equities and features solid trading volume, though it remains more sensitive to China-specific macroeconomic and regulatory factors than broad U.S. market products.
The comparison occurs against a backdrop of divergent equity market drivers. U.S. technology sectors continue to benefit from innovation cycles in artificial intelligence, cloud computing, and semiconductors. In contrast, Chinese large-cap equities face influences from domestic policy shifts, property market adjustments, and global trade dynamics. Capital flows into U.S. growth assets have remained resilient in recent market cycles, while China exposure reflects periodic regulatory easing and stimulus expectations. Macroeconomic factors such as interest rate paths and geopolitical tensions add layers of volatility to both themes, underscoring the importance of understanding geographic and sector-specific risks when evaluating leveraged products.
In recent market cycles, TQQQ has exhibited amplified movements aligned with Nasdaq-100 constituents’ earnings strength and sector momentum in technology. YINN’s performance has tracked broader shifts in Chinese equity sentiment influenced by policy developments and commodity trends. Relative positioning reveals TQQQ’s higher correlation to U.S. growth themes and greater liquidity, while YINN demonstrates elevated sensitivity to China-specific catalysts. Both products experience pronounced volatility due to daily leverage reset mechanics, with TQQQ generally benefiting from more consistent sector tailwinds in recent periods and YINN reflecting episodic rebounds tied to macroeconomic policy adjustments.
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Tickeron’s AI would likely favor ProShares UltraPro QQQ (TQQQ) at present. Structural advantages include broader diversification across high-quality U.S. technology holdings, lower expense ratio relative to YINN, and stronger alignment with prevailing sector momentum in innovation-driven markets. YINN offers compelling China exposure but carries higher costs and greater exposure to region-specific risks. This assessment rests on observable factors including cost efficiency, diversification profile, and relative trend consistency, remaining probabilistic rather than deterministic.
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| TQQQ | YINN | TQQQ / YINN | |
| Gain YTD | 36.787 | -49.123 | -75% |
| Net Assets | 36.1B | 505M | 7,149% |
| Total Expense Ratio | 0.82 | 1.34 | 61% |
| Turnover | 25.00 | 147.00 | 17% |
| Yield | 0.37 | 1.45 | 26% |
| Fund Existence | 16 years | 17 years | - |
| TQQQ | YINN | |
|---|---|---|
| RSI ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Stochastic ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Momentum ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 90% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 89% | 2 days ago 90% |
| TrendMonth ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Advances ODDS (%) | 13 days ago 90% | 13 days ago 88% |
| Declines ODDS (%) | 4 days ago 88% | 2 days ago 90% |
| BollingerBands ODDS (%) | 2 days ago 90% | 2 days ago 90% |
| Aroon ODDS (%) | 2 days ago 90% | 2 days ago 90% |
A.I.dvisor indicates that over the last year, TQQQ has been closely correlated with LRCX. These tickers have moved in lockstep 73% of the time. This A.I.-generated data suggests there is a high statistical probability that if TQQQ jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To TQQQ | 1D Price Change % | ||
|---|---|---|---|---|
| TQQQ | 100% | -4.16% | ||
| LRCX - TQQQ | 73% Closely correlated | -5.66% | ||
| NVDA - TQQQ | 70% Closely correlated | -1.64% | ||
| KLAC - TQQQ | 70% Closely correlated | -3.93% | ||
| ASML - TQQQ | 68% Closely correlated | -2.53% | ||
| AMAT - TQQQ | 67% Closely correlated | -6.16% | ||
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