Portfolio Optimization

Quant-MELO-Portfolio: Bayesian Portfolio Optimization

Quant-MELO-Portfolio is a Python project applying Bayesian architecture to stock portfolio optimization — finding optimal weights via Global Minimum Variance and Tangency portfolios. A concrete implementation of mean-variance optimization with Bayesian uncertainty quantification.