OpenTrade Raises $17 Million to Boost Stablecoin Connection with Real World Assets
OpenTrade’s Funding and Expansion Plans
OpenTrade is based in London and runs a stablecoin platform. The firm raised $17 million from new investors. Mercury Fund and Notion Capital led the round. a16z Crypto, AlbionVC, and CMCC Global also joined. Total funds now top $30 million. The firm will build its permissioned and permissionless systems. The firm will also grow its asset management and trading teams.
Connecting Stablecoins to Real World Assets Through Asset Tokenization
OpenTrade helps fintech firms, exchanges, wallets, and banks. The firm links stablecoin yield with real assets. The process turns traditional assets into tokens. These tokens join yield schemes in old finance and digital finance. Last year, total value locked passed $200 million. Transaction amounts went past $250 million.
Impact on DeFi, Institutional Adoption, and Market Infrastructure
The company builds connections between stablecoins and real assets. Digital tokens join yield from real products. Banks and investors use the digital system. This process joins digital finance with physical products such as property, metals, and more.
Stablecoin Market Growth and Demand for RWA Solutions
Stablecoins now top $310 billion in supply. The fast market growth calls for more links between stablecoins and yield plans. The system joins digital money with yield plans based on real assets. This trend shows new ties between old finance and digital finance.
Summary
- OpenTrade raised $17 million to build its stablecoin system.
- The firm works on both open and restricted systems.
- The system links yield tokens to real assets with over $200 million in total value.
- OpenTrade helps fintech firms and banks use digital finance linked with real yields.
- The stablecoin market, now over $310 billion, drives more ties between digital money and old finance.
OpenTrade’s new funds and system upgrades show progress in linking tokens to real assets.
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📝 About This Article
This article was generated by Hivebox AI in collaboration with nGRND.
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