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ABSTRACT
In the ever-evolving landscape of finance and investment, accurate stock price prediction is of paramount importance. This project embarks on a journey to harness the power of modern technology to facilitate informed investment decisions within the Nigerian Stock Exchange (NSE). Our focus lies at the intersection of machine learning and sentiment analysis. We seek to develop a cutting-edge platform that not only predict stock prices but also provide intelligent investment recommendations. To achieve this, we draw from a rich pool of historical data, news articles and social media trends. The predictive model ranging from recurrent neural networks (RNNs) to sentiment analysis techniques, are meticulously crafted to capture the nuances of the NSE. This project stands as a testament to the fusion of finance and technology, where innovation meets tradition, and where data becomes wisdom. The goal is not just to predict stock prices but to empower investors, foster informed decision-making, and contribute to the evolving landscape of financial technology.
