The document summarizes a stock portfolio optimization report that uses Gaussian quadrature to analyze stock market data and optimize a portfolio to minimize risk and maximize returns. It describes collecting stock market data, applying a Gaussian quadrature formula to analyze the data and calculate the probability of gains and expected returns. The results show probabilities of gains around 50% and expected returns between 0.081 to 0.132, indicating the difficulty of predicting stock market behaviors but some ability to modestly optimize returns and reduce risk.