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Abstract: Clustering is the process of the grouping object in a given data objects based on their similarity between data objects. The swarm intelligent based clustering algorithms are generally ...

Introduction: The Portfolio Optimization Process Needs to Be Revamped. For decades, portfolio optimization has been the pinnacle of modern finance. In the 1950s, with the introduction of Harry ...

This project implements an end-to-end algorithmic trading system using LSTM and Transformer models to predict stock prices and simulate trading performance. It fetches historical price data, computes ...

Abstract: This paper presents an integrated framework for AI-driven portfolio optimization combining temporal convolutional networks (TCNs) with conditional value-at-risk (CVaR) minimization. Our ...