Intelli-Stock

Abstract

"Facing the multifaceted challenges of the stock market, including information overload, time constraints, and accessibility barriers, retail investors often find it difficult to make informed decisions. ""Intelli-Stock"" addresses these issues by integrating advanced machine learning algorithms and techniques to analyze financial, thereby providing users with actionable insights. Evaluation methodologies such as precision and recall metrics, alongside back-testing strategies, were employed to rigorously assess the application's predictive accuracy and user interface usability. The document outlines the successful application of theoretical knowledge to practical problem-solving, demonstrating the project's contribution to simplifying stock market investments for retail investors. Future directions for the project include expanding its machine learning capabilities. ""Intelli-Stock"" exemplifies the application of a comprehensive computer science education to real-world challenges, showcasing the potential of technology to democratize access to complex financial markets and empower individuals with tools previously available only to professionals."