{"id":3918,"date":"2024-05-18T01:17:30","date_gmt":"2024-05-17T23:17:30","guid":{"rendered":"https:\/\/nepttp.avidakizomba.co.za\/?p=3918"},"modified":"2025-06-09T12:16:48","modified_gmt":"2025-06-09T10:16:48","slug":"optimisation-of-hybrid-neural-network-techniques-used-for-stock-market-predictions","status":"publish","type":"post","link":"https:\/\/www.escience.ac.za\/index.php\/2024\/05\/18\/optimisation-of-hybrid-neural-network-techniques-used-for-stock-market-predictions\/","title":{"rendered":"Optimisation of hybrid neural network techniques used for stock market predictions"},"content":{"rendered":"<p><strong>Researcher: <\/strong>Mohammad Rehman, University of the Witwatersrand, Johannesburg<br \/><strong>Supervisor: <\/strong>Dr Wilbert Chagwiza, University of the Witwatersrand, Johannesburg<\/p><p>The combination of traditional technical and fundamental analysis techniques and machine learning techniques has become a common practice for informed stock price prediction.<\/p><p>The focus of this research was to stochastically optimise a long short term memory (LSTM) prediction model using a genetic algorithm (GA) and test its viability for predicting next day stock prices.<\/p><p>The hybrid GA optimised LSTM model created was able to achieve an RMSE of 247.30, an MAE of 190.22 and an MAPE of 1.52% indicating that a viable prediction model was constructed.<\/p><p><br \/><\/p>","protected":false},"excerpt":{"rendered":"<p>Researcher: Mohammad Rehman, University of the Witwatersrand, JohannesburgSupervisor: Dr Wilbert Chagwiza, University of the Witwatersrand, Johannesburg The combination of traditional technical and fundamental analysis techniques and machine learning techniques has become a common practice for informed stock price prediction. The focus of this research was to stochastically<\/p>\n","protected":false},"author":1,"featured_media":4407,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10],"tags":[],"class_list":["post-3918","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-capstone-projects"],"_links":{"self":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/3918","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/comments?post=3918"}],"version-history":[{"count":1,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/3918\/revisions"}],"predecessor-version":[{"id":4429,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/posts\/3918\/revisions\/4429"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media\/4407"}],"wp:attachment":[{"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/media?parent=3918"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/categories?post=3918"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.escience.ac.za\/index.php\/wp-json\/wp\/v2\/tags?post=3918"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}