AI Case Study
Castle Ridge Asset Management identifies and rebalances portfolio investments among diverse asset classes using machine learning
Castle Ridge Asset Management uses proprietary machine learning to determine portfolio investments and rebalancing when necessary. It chooses among diverse asset classes, while its decision-making is ultimately supervised by human managers.
Fund And Asset Management
According to its website, Castle Ridge uses W.A.L.L.A.C.E, "a proprietary Artificial Intelligence technology designed to create, maintain, and evolve investment portfolios consisted of highly diverse asset classes. W.A.L.L.A.C.E. deploys proprietary algorithms to detect sustainable behavioural patterns in enormous volumes of market data. W.A.L.L.A.C.E. actively learns and adapts to changing market conditions. One of W.A.L.L.A.C.E.’s most powerful features is its ability to predict market events. Castle Ridge Asset Management harnesses the power of W.A.L.L.A.C.E. through a systematic approach governed by human intelligence and oversight. All investment decisions are made using formal interaction between W.A.L.L.A.C.E. and our experienced Portfolio Managers."
Budgeting And Forecasting
Castle Ridge Asset Management is a private investment fund.
Castle Ridge Management claims on its site that during "a 36 month period, W.A.L.L.A.C.E. successfully anticipated 24 public company acquisitions; the majority of which were completely unexpected by the investment community." Hedge Fund Alert reports that as of 21 March 2018, Castle Ridge had "lost 1% in February, but was up an impressive 14% year-to-date in mid-March, thanks in part to a 7.3% gain in January."
In-house developed; supervised learning and classification algorithms used (specifics not disclosed).