Document Type
Dissertation
Disciplines
1.2 COMPUTER AND INFORMATION SCIENCE, Computer Sciences
Abstract
Stock investors must be cognizant of both the current price of their stock and the price at which they want to sell it in the future. This does not stop investors to monitor past price patterns and apply their knowledge to the present. ’Past performance is not an indicator of future success’, as the saying goes. To put it another way, historical stock data alone isn’t enough to forecast future stock prices. Another key factor to consider in a trading strategy is the impact of market psychology. Financial data, which is a type of multimedia data, provides a wealth of information that has been widely used for data analysis tasks. However, predicting stock prices remains a popular study topic for investors and financial scholars. Forecasting stock prices has become an extremely difficult undertaking because of the significant noise, nonlinearity, and volatility of stock price statistic data.
Recommended Citation
Konety, K. (2022). Real-Time Stock Market Recommendation & Prediction using Multi Source Date. [Technological University Dublin].
Creative Commons License
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Publication Details
A dissertation submitted in partial fulfilment of the requirements of Technology University Dublin for the degree of M.Sc. in Computing (Data Science) June 2022.