Integrated Portfolio Management Strategies: Harnessing IoT and Machine Learning for Enhanced Decision-Making

The purpose of this research study is to investigate the possibility of using Internet of Things (loT) technology and machine learning algorithms into portfolio management strategies in order to enhance decision-making processes. This research study's objective is to ascertain the various possibilities that are available. In order to accomplish this objective, we shall conduct an inquiry into the possibilities of incorporating the company in question at some point. The standard portfolio management solutions that are available today generally fall short when it comes to tackling the issues that are prevalent in the complex and ever-changing financial landscape of today. This is something that is especially true when it comes to the process of reacting to rapidly changing market conditions. In particular, this is something that is notably true. It is anticipated that the work that is being done here will result in the development of a novel strategy for the management of portfolio securities. This is achieved by the use of sensors and gadgets that are connected to the Internet of Things (loT) through the implementation of contemporary machine learning techniques.