Artificial intelligence is reshaping how everyday investors build, monitor, and optimize portfolios. What used to require a ...

Abstract: Selecting appropriate research and development (R&D) projects under budget constraints is a critical yet challenging task for enterprises. During development, these projects are inevitably ...

Abstract: Financial market forecasting in portfolio formation has increasingly drawn interest within machine learning due to its complex temporal dynamics and high volatility. While Convolutional ...

Introduction: In the face of high uncertainty and complexity in financial markets, achieving portfolio return maximization while effectively controlling risk remains a critical challenge. Methods: We ...

Build production-ready AI agents tutorials that solve real problems. You're here because AI agents are transforming software development, and you want practical skills you can use at work tomorrow.

This project implements a CVaR-minimizing portfolio optimization model based on the seminal paper "Optimization of Conditional Value-at-Risk" by Rockafellar and Uryasev (2000). The analysis uses ...