Compare GraniteShares 2x Long NVDA Daily ETF (NVDL) vs Direxion Daily FTSE China Bull 3x Shares (YINN) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
GraniteShares 2x Long NVDA Daily ETF vs Direxion Daily FTSE China Bull 3x Shares — how do they compare? GraniteShares 2x Long NVDA Daily ETF trades at $36.86 (market cap $3.56B), while Direxion Daily FTSE China Bull 3x Shares trades at $25.27 (market cap $560.32M). The key difference: GraniteShares 2x Long NVDA Daily ETF is far larger — about 6.4× Direxion Daily FTSE China Bull 3x Shares's market cap, and GraniteShares 2x Long NVDA Daily ETF is trading nearer its 52-week high, Direxion Daily FTSE China Bull 3x Shares nearer its low. Which is the better fit depends on your goals — on Pluang, investors hold GraniteShares 2x Long NVDA Daily ETF for 15 Days and Direxion Daily FTSE China Bull 3x Shares for 25 Days on average.
| NVDL | YINN | |
|---|---|---|
Market Cap | $3.56B | $560.32M |
Volume | 9,740,643 | 1,009,521 |
Sector | Leveraged / Inverse | Leveraged / Inverse |
52-Week High | $43.02 | $52.69 |
52-Week Low | $21.76 | $21.45 |
Typical Hold Time | 15 Days | 25 Days |
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
Aura AI Summary
Signals from Pluang's Aura AI — not financial advice
NVDL (GraniteShares 2x Long NVDA Daily ETF) trades at $36.86, down 6.85% in the last session. Technical indicators show a bullish overall signal with moving averages supporting upward momentum while oscillators remain neutral. Recent news highlights Nvidia's strong Q2 2027 earnings beat and ongoing AI theme strength, though the leveraged ETF has underperformed NVDA's direct returns over the past year.
The outlook remains tied to Nvidia's AI leadership and market performance, with technical support at $36 and resistance at $39. Key risks include leverage decay and NVDA's high valuation, while institutional interest in AI and positive analyst coverage provide potential upside catalysts for the leveraged ETF structure.
YINN is trading at $25.27, up 7.26% on the day, but technical indicators signal a bearish trend with moving averages and ADX pointing lower. The stock lacks disclosed fundamental ratios such as P/E and P/S, and recent news highlights China's economic policies and energy sector dynamics, which may influence its performance. Support is clustered around $23, with resistance at $24.
The outlook remains cautious due to bearish technicals and limited fundamental visibility. Risks include reliance on Chinese economic conditions and potential regulatory changes. Investment opportunities hinge on improved earnings transparency and positive shifts in market sentiment, but current data suggests a neutral to bearish stance for near-term investors.
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Investor sentiment on Pluang
What Pluang investors did over the last 30 days
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About GraniteShares 2x Long NVDA Daily ETF
NVDL is a leveraged ETF that seeks daily investment results corresponding to 200% (2x) of the daily performance of NVIDIA Corporation (NVDA) stock. It is designed as a tactical trading tool for investors with a strong bullish (long) view on NVDA. Due to the effects of compounding and leverage, the ETF is intended to be held for a single day and is not suitable for long-term investment, as its performance over longer periods may significantly deviate from two times the performance of the NVDA stock.
Read more on NVDL →About Direxion Daily FTSE China Bull 3x Shares
YINN is a leveraged ETF that seeks daily investment results, before fees and expenses, of 300% (3x) of the daily performance of the FTSE China 50 Index. It is a tactical instrument designed for sophisticated traders seeking to magnify short-term bullish views on large-cap Chinese equities, primarily those trading on the Hong Kong Stock Exchange.
Read more on YINN →
