A SOFTWARE SOLUTION FOR STOCK MARKET DATA PROCESSING BASED ON THE SERVERLESS ARCHITECTURE

Abstract

Today, an increasing number of people wish to invest in the stock market, but often encounter challenges in selecting and monitoring their investments. There is a need for a tool that is adaptable, free, and covers all the essential functionalities for investing and tracking investments. The goal of this master thesis is to enable users to timely monitor stock price changes and gain insights into the operations of companies of interest. Therefore, a software solution based on the serverless architecture has been implemented, allowing for the retrieval, storage, and visual display of the stock market data. The core functionalities of the system include real-time tracking of stock price movements and a comprehensive overview of various types of financial reports. Additionally, to enhance the user experience, a notification system has been implemented to alert end users of sudden stock price changes.