Market research
MATH Metalpha Technology Holding Limited
NASDAQ USD Financial Services
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 48M
- P/E ratio
- 49.97
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- -0.71
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Financial Services
- Industry
- Capital Markets
- ISIN
- KYG283651076
- Market cap
- 48M
- P/E ratio
- 49.97
- Analyst target
- Not available
- Dividend yield
- Not available
- Beta
- -0.71
About
About Metalpha Technology Holding Limited
Metalpha Technology Holding Limited, together with its subsidiaries, provides wealth management services in Hong Kong. It offers digital asset-based wealth management services; executes cryptocurrency-related transactions, including the issuance of derivative products to over-the-counter clients; proprietary trading services; crypto derivative solutions, as well as enables the trading of crypto derivative products; traditional financial derivative products; and securities advisory and asset management services. The company also provides licensed services. It serves institutional investors and high-net-worth individuals. The company was formerly known as Dragon Victory International Limited and changed its name to Metalpha Technology Holding Limited in November 2022. Metalpha Technology Holding Limited was incorporated in 2015 and is headquartered in Wan Chai, Hong Kong.
Research context
Metalpha Technology Holding Limited appears in PyInvesting’s US Stock catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.
- Currency
- USD
- Sector
- Financial Services
- Industry
- Capital Markets
These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.
Review backtest assumptions and evidence before treating a chart or stored history as a research result.
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