Compare GraniteShares 2x Long NVDA Daily ETF (NVDL) vs SoundHound AI Inc (SOUN) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
GraniteShares 2x Long NVDA Daily ETF vs SoundHound AI Inc — how do they compare? GraniteShares 2x Long NVDA Daily ETF trades at $31.43, while SoundHound AI Inc trades at $6.55 (market cap $2.75B). The key difference: GraniteShares 2x Long NVDA Daily ETF is trading nearer its 52-week high, SoundHound AI Inc nearer its low. Which is the better fit depends on your goals.
| NVDL | SOUN | |
|---|---|---|
Sector | Leveraged / Inverse | Technology |
52-Week High | $43.02 | $21.40 |
52-Week Low | $21.76 | $5.90 |
Market Cap | — | $2.75B |
Enterprise Value | — | $2.54B |
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
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 SoundHound AI Inc
SoundHound AI, Inc. is a leading innovator in voice artificial intelligence, specializing in conversational intelligence technology. The company develops a platform that allows businesses to add custom voice assistants and natural language processing capabilities to their products and services, ranging from in-car systems and smart speakers to mobile apps and IoT devices. SoundHound's core technology, including its proprietary speech recognition and natural language understanding models, aims to enable fast, accurate, and deeply integrated voice AI experiences across various industries.
Read more on SOUN →
