There are 1 repository under stock-selection topic.
Stock-Robo-Advisor project including backtesting, simulating and practicality for future.
A stock investment assistant tool which utilized supervised machine learning models such as Logistic Regression, Random Forest, and Support Vector Machine to predict the stock’s 60 days’ return rate. If a specific stock outperformed the average return rate, the model would recommend to hold.
This is a project of portfolio optimization using Quantum-inspired Tabu Search and Trend Ratio
Uses SQL DB and API (live prices) to display info, prices and logo. Built using Flask