Share market prediction system for Colombo stock exchange using ANN, RPA & ML

Ratnayake, D. U. G. N

dc.contributor.author	Ratnayake, D. U. G. N
dc.date.accessioned	2022-03-16T07:03:33Z
dc.date.available	2022-03-16T07:03:33Z
dc.date.issued	2021
dc.identifier.citation	Ratnayake, D. U. G. N (2021) Share market prediction system for Colombo stock exchange using ANN, RPA & ML. BSc. Dissertation Informatics Institute of Technology	en_US
dc.identifier.issn	2017491
dc.identifier.uri	http://dlib.iit.ac.lk/xmlui/handle/123456789/1010
dc.description.abstract	" Investing in stock market is trending topic nowadays. Most of the young generation is tended to invest in the stock market. This research is to predict the future market values of the stocks and recommend the best shares to buy fir the end user. The technologies such as machine learning, deep learning, artificial neural networks, LSTM models were used to develop the final solution of this research. A web application developed using HTML, CSS and Java scripts. The implemented application will be graphically representing the stock values and also able to trade through the system using a third-party website. The open-source libraries such as TensorFlow, Keras, pandas, NumPy and matplotlib were used and the prediction model was build using python programming language using google collab and visual studio code as the integrated development environments."	en_US
dc.language.iso	en	en_US
dc.subject	ANN	en_US
dc.subject	RPA	en_US
dc.subject	Stock Market Prediction	en_US
dc.subject	Machine Learning	en_US
dc.title	Share market prediction system for Colombo stock exchange using ANN, RPA & ML	en_US
dc.type	Thesis	en_US