Core Insights - Arc Trading has launched a new AI-driven algorithm aimed at enhancing liquidity in digital asset markets, introducing predictive execution and cross-exchange synchronization [1][3] Group 1: AI and Algorithm Features - The algorithm utilizes deep-learning models to identify patterns in historical price data and order-book behavior, providing insights into liquidity formation and market dynamics [3][4] - Reinforcement-learning components allow the algorithm to adjust strategies in real-time, optimizing order routing and execution quality while minimizing slippage [4][5] - The system incorporates sentiment and information analysis to anticipate market reactions to news and policy changes, enhancing resilience during volatile periods [5][6] Group 2: Market-Making Framework - Arc Trading's framework supports token projects throughout their lifecycle, from pre-launch to post-listing, establishing a unified liquidity architecture [7][8] - The model emphasizes sustainable liquidity through transparency and data precision, helping projects maintain orderly order books and improve price discovery [8][9] - Systematic liquidity management from the outset of trading is positioned as essential for long-term market stability and growth [9][10] Group 3: Industry Trends - The digital asset market is evolving towards a focus on measurable, data-driven liquidity provision rather than short-term trading activities [10][11] - Arc Trading's emphasis on analytics and automation aligns with this trend, providing partners with real-time assessments of execution quality and market resilience [11][12] - The company aims to set higher transparency standards in liquidity operations, reinforcing accountability across the market [11][12]