Compare GraniteShares 2x Long NVDA Daily ETF (NVDL) vs Vanguard Emerging Markets Stock Index Fund ETF (VWO) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
GraniteShares 2x Long NVDA Daily ETF vs Vanguard Emerging Markets Stock Index Fund ETF — how do they compare? GraniteShares 2x Long NVDA Daily ETF trades at $36.88 (market cap $3.56B), while Vanguard Emerging Markets Stock Index Fund ETF trades at $59.74 (market cap $168.50B). The key difference: Vanguard Emerging Markets Stock Index Fund ETF is far larger — about 47.3× GraniteShares 2x Long NVDA Daily ETF's market cap, and Vanguard Emerging Markets Stock Index Fund ETF is trading nearer its 52-week high, GraniteShares 2x Long NVDA Daily ETF 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 Vanguard Emerging Markets Stock Index Fund ETF for 135 Days on average.
| NVDL | VWO | |
|---|---|---|
Market Cap | $3.56B | $168.50B |
Volume | 9,740,643 | 9,650,999 |
Sector | Leveraged / Inverse | — |
52-Week High | $43.02 | $61.44 |
52-Week Low | $21.76 | $52.42 |
Typical Hold Time | 15 Days | 135 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.
VWO trades at $59.76, down 0.15% on the day, with technical indicators showing a bearish bias as moving averages signal selling pressure. The ETF's emerging markets focus faces headwinds from China's economic slowdown, though AI-driven semiconductor demand in Taiwan provides some offset. Recent institutional buying by firms like Allianz and Alamar Capital suggests confidence in long-term emerging markets exposure despite near-term challenges.
The outlook remains cautious given China's persistent weakness and technical bearish signals, though institutional accumulation and AI infrastructure spending offer potential catalysts. Key risks include concentrated emerging markets exposure and currency volatility, requiring careful position sizing for investors seeking diversification beyond developed markets.
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 Vanguard Emerging Markets Stock Index Fund ETF
The fund employs an indexing investment approach designed to track the performance of the FTSE Emerging Markets All Cap China A Inclusion Index. It invests by sampling the index, meaning that it holds a broadly diversified collection of securities that, in the aggregate, approximates the index in terms of key characteristics.
Read more on VWO →
