New App Uses Reinforcement Learning for Personalized, Tax-Aware Retail Portfolio Management

There's a new app designed to make personalized, tax-aware portfolio management available to everyday investors, which has typically been reserved for big institutions. A recent paper on arXiv explains how it works, using a FastAPI backend and a user-friendly web dashboard. Users can express their investment goals simply, like saying they want steady growth but need to cash out some shares soon for a down payment. The app maps these goals to one of six investment strategies and offers real-time portfolio suggestions linked to a broker. It uses a three-phase reinforcement learning approach, including a self-supervised encoder and a Mixture-of-Experts allocation policy. This fully developed app could revolutionize the robo-advisory space, which often relies on rigid rules. You can check out the paper on arXiv with the ID 2608.05255.