Conceptualization
ATPHIZYOM, which represents “Asymmetric Transmogrification Finite-Zero (Zero-Order & Zero-Sum) Optimization Machine”, is an interactive algorithmic-mechanism and Artificial Intelligence model devised by Adam Tso (“ATPHIZYOM” Founder) that primarily utilizes at its core the ATOM-Algorithm [Asymmetric Transmogrification Optimization Matrix] he invented and designed to help all genres of mass-market Users to autonomously process and analyze stochastic Financial Asset data.
The interactive ATPHIZYOM Mobile & Web Application interface allows Users to provide a set of pre-defined input parameters commensurate to their Investment Preferences and Risk-Tolerance Levels (thereby ensuring “Independent Customized Solutions” for each User) to the System AI (Artificial Intelligence model). Depending on the type of User inquiry or request for analysis, the System AI [A.D.A.M.] (“Autonomous Dispersion Analytics Machine” or “Autonomous Diversification & Allocation Machine”) will deploy accordingly the ATOM-Algorithm or certain techniques within its family of algorithms to process the User instructions and analyze Asset stochastic data.
The ATOM-Algorithm predominantly uses a class of techniques known as Stochastic Rectification, which consists of two different types of algorithmic methodologies: Fractional Stochastic Distillation and Azeotropic Stochastic Distillation. Both these processes involve the Purification of “Asset Quality”, for varying purposes subject to the User’s requirements, by repeated distillation (rectification) of stochastic parameters – exploiting the differences in “Stochastic Volatilities” within the Asset Universe mixture’s components to isolate specific Asset constituents which befit the User’s specific purposes and investment criteria. Ultimately, the ATPHIZYOM System AI responds to the User’s specific request or inquiry with the application of stochastically-calculated adjustments to a matrix of existing Asset data to extract a solution for the proposed problem of “Asset Quality & Diversity” via a series of Optimization and Diversification algorithms.
