Deep Learning for Financial News Analysis and Stock Price Prediction: A Case Study of TCS

Bijesh Dhyani - Graphic Era University (IN), Sanjay Taneja - Graphic Era University (IN), Chandra Prakash - Graphic Era University (IN), Rajesh Tiwari - Graphic Era University (IN), Ercan Özen - University of Uşak (TR),

Abstract


Finance has been the most important aspect of people’s lives for making small to large decisions in life. Finances affect our ability to invest in opportunities, save for uncertain future events, and purchase necessities. In addition, money has a significant impact on reducing poverty, creating jobs, and advancing society. On the other side, deep learning is a growing field as it is transforming and revolutionizing various areas and industries. While realising the importance of both finance and deep learning in our lives for better decision-making, our study aims to find the connectedness between both so that understanding this relation and utilising it will create better systems for optimal decision-making and also to study its influence on the stock market, presenting various challenges and opportunities regarding this matter and unleashing the potential that comes with the advanced technologies.

Keywords


deep learning; finance; stock price prediction; market news analysis; TCS

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DOI: http://dx.doi.org/10.70594/brain/15.3/11

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