Compare Ubs Ag Etracs Silver Shares Covered Call ETN Exp 21 Apr 2033 (SLVO) vs SoundHound AI Inc (SOUN) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Ubs Ag Etracs Silver Shares Covered Call ETN Exp 21 Apr 2033 vs SoundHound AI Inc — how do they compare? Ubs Ag Etracs Silver Shares Covered Call ETN Exp 21 Apr 2033 trades at $65.42, while SoundHound AI Inc trades at $6.56 (market cap $2.75B). Which is the better fit depends on your goals.
| SLVO | SOUN | |
|---|---|---|
Sector | Income / Options Overlay | Technology |
52-Week High | $107.41 | $21.40 |
52-Week Low | $61.81 | $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 Ubs Ag Etracs Silver Shares Covered Call ETN Exp 21 Apr 2033
SLVO is an exchange-traded note issued by UBS AG that provides investors with exposure to the performance of a silver-based covered call strategy. The ETN tracks the daily return of the ISE Enhanced 100x Leveraged Silver ETN Index, which combines a long position in silver with a covered call strategy on the silver position. This strategy aims to generate current income from the option premiums, which can provide a buffer during sideways or slightly down markets for silver, but it also caps the potential gains from a significant rise in silver prices. As an ETN, it is subject to the credit risk of the issuer, UBS AG, and has an expiration date of April 21, 2033.
Read more on SLVO →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 →
