AI-Enhanced Portfolio Optimization Framework Leveraging Modern Portfolio Theory

The current investment portfolio management methodology demands persistent market surveillance as well as advanced research abilities along with specialized competencies. Traditional portfolio management approaches depend on manual data collection through inspection while experts can still make human judgements that impact the results. Our work presents an innovative Python platform designed to automate portfolio management knowledge enhancement for beginner and advanced investors. The software consists of four key features that assist with monitoring liquid assets while performing yield-based bond assessments and tracking equity portfolios and optimizing asset distributions through Modern Portfolio Theory (MPT). Our system connects to Yahoo Finance and Alpha Vantage APIs to provide up-to-date financial data used in making data-based investments decisions. Successful portfolio management in uncertain market environments depends on this combination of computational systems and existing financial knowledge with real-time market data.