ProShares Ultra QQQ (QLD) and Direxion Daily FTSE China Bull 3X Shares (YINN) represent two distinct leveraged exchange-traded funds that allow investors to pursue amplified exposure to high-growth U.S. technology and Chinese equity markets, respectively. These ETFs do not compete directly but instead offer alternative leveraged strategies for investors targeting different geographic regions and thematic drivers. In the current environment of evolving U.S.-China relations, interest-rate expectations, and sector rotations, comparing their structural characteristics helps clarify how each fits into diversified portfolios seeking either domestic innovation leadership or international emerging-market opportunities.
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 employs a passive leveraged strategy using swaps, futures, and other derivatives to achieve its objective, with daily rebalancing to maintain the target leverage. It typically holds a concentrated set of approximately 100 large-cap, non-financial companies listed on the Nasdaq, dominated by technology, consumer discretionary, and communication services sectors. Top holdings generally include major technology leaders such as NVIDIA Corporation, Microsoft Corporation, Apple Inc., Amazon.com Inc., and Meta Platforms Inc. The expense ratio stands at 0.95%. As a leveraged product, QLD resets exposure daily, leading to potential compounding effects over longer periods that differ from simple 2x returns.
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 uses a passive leveraged approach with derivatives to deliver the target multiple, requiring daily rebalancing. It provides exposure to roughly 50 of the largest and most liquid Chinese companies listed on the Hong Kong Stock Exchange. Sector allocations commonly emphasize financials, consumer staples and discretionary, energy, and technology. Representative holdings often feature major Chinese firms such as Tencent Holdings Ltd., Alibaba Group Holding Ltd., Meituan, and leading banks. The expense ratio is 1.34%. YINN’s higher leverage level amplifies both gains and losses relative to its benchmark on a daily basis.
The comparison occurs against a backdrop of contrasting macroeconomic and geopolitical influences on U.S. technology and Chinese equity markets. U.S. large-cap growth stocks benefit from innovation cycles in artificial intelligence, cloud computing, and semiconductors, supported by domestic capital flows and earnings resilience. Chinese equities face variables including regulatory developments, property-sector dynamics, export demand, and broader U.S.-China trade relations. Capital flows into technology themes remain robust in the United States, while China exposure reflects periodic policy stimulus and global supply-chain shifts. Both markets respond to interest-rate expectations and global risk sentiment, though with differing sensitivities due to their distinct economic drivers.
In recent market cycles, ProShares Ultra QQQ (QLD) has exhibited performance closely tied to U.S. technology earnings momentum and sector rotation favoring growth equities. Its 2x leverage magnifies daily moves in the Nasdaq-100 while maintaining relatively high liquidity. Direxion Daily FTSE China Bull 3X Shares (YINN), with its 3x leverage, shows greater sensitivity to China-specific catalysts such as policy announcements and commodity trends, resulting in elevated volatility compared with U.S.-focused leveraged products. Relative positioning highlights QLD’s alignment with established U.S. innovation leadership versus YINN’s exposure to emerging-market recovery themes. Over multiple weeks and months, differences in leverage and underlying index composition drive distinct risk-adjusted behaviors during periods of sector rotation or macroeconomic shifts.
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Based on observable structural factors, Tickeron’s AI would currently assign a higher probability of favorable positioning to ProShares Ultra QQQ (QLD). The reasoning centers on its lower expense ratio, exposure to a concentrated group of high-quality U.S. technology leaders with consistent earnings momentum, and comparatively moderate leverage level that may support more stable trend consistency within established market leadership. YINN’s higher leverage and emerging-market concentration introduce greater sensitivity to geopolitical and policy variables. Investors should evaluate these characteristics against individual risk tolerance and time horizon.
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| QLD | YINN | QLD / YINN | |
| Gain YTD | 26.684 | -49.123 | -54% |
| Net Assets | 13.7B | 505M | 2,713% |
| Total Expense Ratio | 0.95 | 1.34 | 71% |
| Turnover | 16.00 | 147.00 | 11% |
| Yield | 0.12 | 1.45 | 8% |
| Fund Existence | 20 years | 17 years | - |
| QLD | 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 88% | 2 days ago 90% |
| MACD ODDS (%) | 2 days ago 85% | 2 days ago 87% |
| TrendWeek ODDS (%) | 2 days ago 88% | 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 86% | 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, QLD 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 QLD jumps, then LRCX could also see price increases.
| Ticker / NAME | Correlation To QLD | 1D Price Change % | ||
|---|---|---|---|---|
| QLD | 100% | -2.89% | ||
| LRCX - QLD | 73% Closely correlated | -5.66% | ||
| NVDA - QLD | 70% Closely correlated | -1.64% | ||
| KLAC - QLD | 68% Closely correlated | -3.93% | ||
| MU - QLD | 67% Closely correlated | -6.69% | ||
| ASML - QLD | 67% Closely correlated | -2.53% | ||
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