A Machine Learning based approach for Portfolio Allocation

The goal of this project is to create new algorithms and state-of-the-art methods for resource allocation in a financial context. This model can be applied to other domains, such as fleet and personnel management, scheduling of computer programs, manufacturing production control or controlling a mobile telecommunication network. Alpine Macro provides market insights, investment strategy and asset allocation recommendations supported by proprietary models, charts and data. This project will enhance Alpine’s repertoire of tools and techniques for supporting investment decisions.

Faculty Supervisor:

Mark Coates

Student:

Stefano Giacomazzi Dantas

Partner:

Alpine Macro

Discipline:

Engineering - computer / electrical

Sector:

University:

McGill University

Program:

Accelerate

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