As global algorithmic trading evolved over the past two decades, it has come to represent the bulk of trading in traditional financial markets, significantly improving liquidity and efficiency. However, the digital asset market has lagged, lacking the necessary infrastructure for institutional-level algorithmic trading. High fees, complex integrations, and privacy concerns have led to inefficiencies and hampered growth. While traditional algorithmic trading systems, managed by investment banks, execute trades at optimal prices and volumes, translating this efficiency to digital assets has proven challenging.