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ABSTRACT
The complexities within stock trading brings up the need for sophisticated tools for predictive analysis. This project aims to develop a financial decision-making tool by harnessing the power of artificial neural networks (ANNs). This advanced technology offers a dynamic approach to predicting market trends, guiding traders and investors through the complicated landscape of stock markets at a reasonable level of accuracy. The primary objective of the Neuro-Forecast project is to develop a neural network model capable of forecasting market trends, and enhancing decisionmaking processes for both individual traders and institutional investors. Through a comprehensive pipeline encompassing data preprocessing, model training, and prediction generation, this project seeks to provide actionable insights into market dynamics. By leveraging ANNs, the project aims to uncover complex patterns within financial data, enabling traders and investors to make informed decisions in real-time.
