Its a great time to follow the trends and research in natural language processing (NLP). Every other day researchers publish new model architectures and techniques which try to improve the current state-of-the-art (SOTA) models. However, even though there is an abundance of different architectures and methods, almost all of these are based on 2 main ideas - Attention Models and the Transformer Architecture.
Portfolio Optimisation has always been a hot topic of research in financial modelling and rightly so - a lot of people and companies want to create and manage an optimal portfolio which gives them good returns. There is an abundance of mathematical literature dealing with this topic such as the classical Markowitz mean variance optimisation, Black-Litterman models and many more. Specifically, Harry Markowitz developed a special algorithm called the Critical Line Algorithm (CLA) for this purpose which proved to be one of the many algorithms which could be used in practical settings.
