Castle Ridge Asset Management

Investment decisions are made autonomously by W.A.L.L.A.C.E., the firm's proprietary artificial intelligence platform. CEO Adrian de Valois-Franklin and a small quantitative team oversee the system, monitor risk limits, and manage the technology infrastructure, but daily security selection and portfolio construction are delegated to the machine-learning algorithms.

W.A.L.L.A.C.E. is an adaptive machine-learning platform that uses evolutionary algorithms to generate and test trading rules against live and historical market data. It operates as a self-contained portfolio manager, ingesting a wide array of fundamental, technical, and alternative data to build a market-neutral long/short equity portfolio. The system autonomously retires failing strategies and refines winning ones without human behavioral interference.

The firm runs a concentrated, AI-driven, market-neutral long/short equity strategy focused on mid- to large-cap names across North America. It aims to produce absolute returns uncorrelated to major equity indices by exploiting pricing anomalies identified solely by its systematic platform.

Castle Ridge operates structurally as an asset manager, but its identity is dominated by its proprietary technology. The firm functions like a technology company whose single product is an autonomous investment algorithm. This architecture means the firm's competitive edge resides in lines of code, not in a star portfolio manager, making it distinctive among Canadian alternative asset managers.

While many quantitative funds use AI as one input among many, Castle Ridge's W.A.L.L.A.C.E. is the autonomous decision-maker. CEO Adrian de Valois-Franklin has emphasized the system's ability to truly learn and adapt — not merely execute a fixed model — allowing Castle Ridge to pursue a form of alpha generation that is emotionally neutral and continually self-improving.