Predicting Stock Trends Using Common Financial Indicators: A Summary of FedCSIS 2024 Data Science Challenge Held on KnowledgePit.ai Platform

Abstract

Predictive analytics aims to empower finance professionals to make data-driven decisions, anticipate customer behavior, and navigate the complexities of the financial landscape. One of the tasks in this domain is the prediction of stock trend movements. The goal of the FedCSIS 2024 Data Science Challenge was to build such predictive models based on the financial fundamental data. Such models could have a vital role in algorithmic or manual trading, providing trading signals for making decisions about the time and direction of stock trades. We describe the prepared dataset and challenge task. We also summarize the challenge outcomes and provide insights about the most successful machine learning techniques applied.