Engineering innovative technology for the financial industry

Today innovative technologies allow to develop new performing systems; therefore, also complex in terms of interactions among components and emerging. The innovative technologies are a crucial point for many fields. The filed that we have focused on it is the financial engineering. The financial engineering notion is central to this thesis; as technology advances, the financial sector is becoming increasingly connected to the engineering sector. Financial engineering is a diverse subject of research and practice in which an engineering approach and methodology are applied to the world of finance. Financial engineering functions as a connector of data from several sectors, such as Economics, Mathematics, and IT. It is the application of mathematical concepts to financial problems, as well as the use of tools (due to technological advancements) and expertise from other fields. It used arithmetic to solve current financial problems and create new and innovative financial solutions. Regular commercial banks use financial engineering, which is known as quantity analysis. I looked at two major applications of financial engineering in this paper: machine learning and blockchain. In the financial sector, these two technologies are critical for engineering solutions. We investigated one application of blockchain: the crypto mining server. Machine learning is employed in the development of a specific financial indication (in the case of this work)