Quant Fund

Executive Summary This case study describes the journey of a quant hedge fund startup in enhancing stock price prediction accuracy through big data analytics, machine learning, and cloud infrastructure optimization. The project tackled challenges in data quality, model performance, and operational efficiency, resulting in faster, more reliable trading insights and significant team skill development. Business Context and Drivers In the fast-paced world of quantitative finance, the ability to generate accurate trading signals and execute models efficiently is a key competitive advantage. The fund faced increasing data volumes, market complexity, and the need for rapid iteration on trading strategies. Cloud adoption was driven by the need for scalable compute, cost control, and faster time-to-insight. ...