Locus Corporation

Christopher Silkworth

Rory Riggs

Sean Sandys

Daniel Goldman

Vin Harng Chew

Jonathan Chandler

Harmon Martin Towson Remmel

Adelaide Fuller

Richard Kahn

James Breitmeyer

Gabriel Marius

Elizabeth Bowling

Barry Fox

James Fifield

Winston Featherly-Bean

Amy Whitaker

Johnathan Chandler

Mark T Finn

Lauren Hsu

Diana McKeage

The invention includes an algorithmic method for dynamically computing complex relationships among objects of an underlying functional system. The invention includes a method to algorithmically determine a set of functional locations in n-dimensional functional space of a set of elements of a functional system by electronically representing a set of data entities in a database system, the database system comprising a logical data model for structuring data sets from which functional information can be derived, using the logical data model to associate a set of characteristics with a reference point in the functional information system, selecting a functional positioning algorithm, and wherein the functional positioning algorithm executes a set of steps that takes as input a set of characteristics and returns as output a set of locations in n-dimensional functional space.

Predictive search and navigation for functional information systems

Computerized techniques can be used for algorithmically determining the composition of elements in a functional system represented in n-dimensional space using a logical data model. Functional attributes can be assigned to an element corresponding to a data entity in a logical data model that comprises at least two fields ordered by a set of interrelationships among at least two elements in the underlying functional system, the interrelationships corresponding to functional properties of a process converting a set of input elements to a set of output elements

High-dimensional systems databases for real-time prediction of interactions in a functional system

Proximity search and navigation for functional information systems

A stratified or segmented composite portfolio can be formed by selecting a group of investment securities, stratifying or segmenting them according to attributes that correlate to a specific asset risk, and assigning relative portfolio weights to the components based on their stratified or segmented positions. The attributes are selected from a universe of possible values. Further positive and negative biases can be applied at any arbitrary point or position, including to individual assets, groups of arbitrarily selected assets, or arbitrary positions.

Segmentation and stratification of composite portfolios of investment securities

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Brooklyn, NY, United States of America

Christopher Silkworth