Over the past decade, quantitative investing has evolved from an internal capability within institutions into a widely recognized methodology across financial markets. Algorithmic trading, multi-factor models, and machine learning strategies have continuously advanced, reinforcing a common belief: systematic approaches can replace human-driven decision-making. However, despite this progress, a critical gap remains— the ability to operate a truly stable, continuously running investment system ...