Portfolio optimization involves reallocating funds to create the best portfolio, balancing returns and risks. The study focuses on Nepal Stock Exchange assets, using the mean-variance framework to determine optimal asset weights. Monte Carlo simulation and quadratic equations are employed to calculate these weights. The research also identifies limitations of the modern portfolio theory, paving the way for future studies using machine learning techniques.