Description
Money On Chain is a DeFi platform operating on the RSK sidechain of the Bitcoin network, aiming to utilize Bitcoin for financial services. Central to this platform is the Dollar on Chain (DoC), a Bitcoin-backed stablecoin pegged to the US dollar, which offers stability in the volatile crypto market. It also provides the BPro token for Bitcoin holders seeking passive income and the MOC token for governance purposes. Utilizing the robustness and security of the Bitcoin network, MoC enables decentralized exchange, automated portfolio management, and leveraged operations. By offering a comprehensive suite of financial products since its launch in 2019, MoC addresses cryptocurrency volatility through a three-party system that maintains decentralization, security, and user control over private keys. Through innovative models and decentralization, Money On Chain aims to bridge the gap between traditional finance and cryptocurrency, planning to shape future international trade by addressing regulatory requirements efficiently.
Money On Chain is a DeFi platform operating on the RSK sidechain of the Bitcoin network, aiming to utilize Bitcoin for financial services. Central to this platform is the Dollar on Chain (DoC), a Bitcoin-backed stablecoin pegged to the US dollar, which offers stability in the volatile crypto market. It also provides the BPro token for Bitcoin holders seeking passive income and the MOC token for governance purposes. Utilizing the robustness and security of the Bitcoin network, MoC enables decentralized exchange, automated portfolio management, and leveraged operations. By offering a comprehensive suite of financial products since its launch in 2019, MoC addresses cryptocurrency volatility through a three-party system that maintains decentralization, security, and user control over private keys. Through innovative models and decentralization, Money On Chain aims to bridge the gap between traditional finance and cryptocurrency, planning to shape future international trade by addressing regulatory requirements efficiently.