W.A.L.L.A.C.E. is 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. Over 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. Similarly, W.A.L.L.A.C.E. anticipated major market downturns to avoid losses.
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. The interaction is free of emotional and behavioural flaws inherent in conventional ways of investing.
Machine Learning Classifier Algorithms
The human brain learns from experiences to create a model of the world and to develop practical “rules-of-thumb”. Similar to the human brain, W.A.L.L.A.C.E. uses Machine Learning, a type of Artificial-Intelligence, to teach itself new rules. Using one of the most advanced Machine Learning techniques, known as Learning Classifier Algorithms, W.A.L.L.A.C.E. recognizes patterns in massive sets of financial data faster than any human could. With the ever increasing calculation power and speed of modern computers, W.A.L.L.A.C.E. is able to spot hidden market opportunities and generate superior investment returns.
Living organisms evolve over time through genetic mutations and crossover. Under the pressure of natural or artificial selection, each successive generation of species is forced to get smarter, faster, or stronger to ensure its survival and successful propagation. Similarly, W.A.L.L.A.C.E. uses Genetic Algorithms to mimic the process of selective breeding. As an example, W.A.L.L.A.C.E. uses successive generations of over five hundred portfolio management mechanisms to selectively “breed” the most flexible, clever, and agile investment algorithms. Repeated over thousands of generations, the selection process ensures the survival of the “fittest” algorithms. As a result, W.A.L.L.A.C.E. becomes more powerful with each successive generation.