The algorithmic trading landscape, particularly within the demanding sphere of stock market strategies for private investment firms, is evolving at an unprecedented velocity. The days when on-premise infrastructure provided a sufficient competitive edge are rapidly receding. Faced with exploding data volumes, the need for blistering speed, increasingly complex quantitative models,...
Blog
Beyond Basic Algorithms: Leveraging AI and Alternative Data for Personalized Trading Strategies
The trading landscape is undergoing a seismic shift, driven by technological advancements that are empowering firms to transcend traditional, rule-based algorithms and forge new frontiers in trading strategy sophistication. At the heart of this transformation lies the convergence of two powerful forces: artificial intelligence (AI) and the proliferation of alternative...
Open Source in Trading Tech: Balancing Innovation, Cost, and Risk
The algorithmic trading landscape is witnessing a surge in the adoption of open-source technologies. This trend is driven by several factors, including the desire for cost savings, faster development cycles, and access to cutting-edge research and development. While open-source solutions offer numerous advantages, they also present unique challenges and risks...