Meet W.A.L.L.A.C.E.

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 48 month period, W.A.L.L.A.C.E. successfully anticipated over 40 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: Ranking Inference Engine

The human brain learns from experiences to create its world model and to develop practical “rules-of-thumb.” Like the human brain, W.A.L.L.A.C.E. uses its Ranking Inference Engine, an innovative feature discovery algorithm, to teach itself new rules. This proprietary Machine Learning technique, based on Ranking Distribution, allows W.A.L.L.A.C.E. to recognize patterns in massive financial data sets faster than any human could. With the ever-increasing calculation power of modern computers and continuously growing variety of available data, W.A.L.L.A.C.E. can spot hidden market opportunities to generate independent investment Alpha.

Geno-Synthetic Algorithms

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 a new proprietary branch of Evolutionary Computing 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.