{"id":1028,"date":"2017-12-11T03:58:01","date_gmt":"2017-12-11T08:58:01","guid":{"rendered":"https:\/\/portfolios.cs.earlham.edu\/?p=1028"},"modified":"2025-04-24T15:10:42","modified_gmt":"2025-04-24T19:10:42","slug":"examine-different-neural-networks-efficiency-in-predicting-stock-prices","status":"publish","type":"post","link":"https:\/\/portfolios.cs.earlham.edu\/index.php\/2017\/12\/11\/examine-different-neural-networks-efficiency-in-predicting-stock-prices\/","title":{"rendered":"Examine different neural networks\u2019 efficiency in predicting stock prices"},"content":{"rendered":"<p style=\"text-align: left\"><strong>ABSTRACT<\/strong><br \/>\nThere has been a lot of attempts in building predictive models that<br \/>\ncan correctly predict the stock price. However, most of these models<br \/>\nonly focus on different in-market factors such as the prices of other<br \/>\nsimilar stocks. This paper discusses the efficiency\/accuracy<br \/>\nof three different neural network models (feedforward, recurrent,<br \/>\nand convolutional) in predicting stock prices based on external<br \/>\ndependencies such as oil price, weather indexes, etc.<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-medium wp-image-1030 aligncenter\" src=\"https:\/\/portfolios.cs.earlham.edu\/wp-content\/uploads\/2017\/12\/diagram-300x182.png\" alt=\"\" width=\"300\" height=\"182\" srcset=\"https:\/\/portfolios.cs.earlham.edu\/wp-content\/uploads\/2017\/12\/diagram-300x182.png 300w, https:\/\/portfolios.cs.earlham.edu\/wp-content\/uploads\/2017\/12\/diagram.png 637w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p style=\"text-align: center\"><strong>Software architecture<\/strong><\/p>\n<p>Links:<\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/ltnguyen14\/Quant_stock\">Github Link<\/a><\/li>\n<li><a href=\"https:\/\/portfolios.cs.earlham.edu\/wp-content\/uploads\/2017\/12\/examine-neural-networks-1.pdf\">Research Paper<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>ABSTRACT There has been a lot of attempts in building predictive models that can correctly predict the stock price. However, most of these models only focus on different in-market factors such as the prices of other similar stocks. This paper discusses the efficiency\/accuracy of three different neural network models (feedforward, recurrent, and convolutional) in predicting &#8230; <a title=\"Examine different neural networks\u2019 efficiency in predicting stock prices\" class=\"read-more\" href=\"https:\/\/portfolios.cs.earlham.edu\/index.php\/2017\/12\/11\/examine-different-neural-networks-efficiency-in-predicting-stock-prices\/\" aria-label=\"Read more about Examine different neural networks\u2019 efficiency in predicting stock prices\">Read more<\/a><\/p>\n","protected":false},"author":22,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[33,42,19],"tags":[],"class_list":["post-1028","post","type-post","status-publish","format-standard","hentry","category-33","category-lam-nguyen","category-student"],"_links":{"self":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/1028","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/users\/22"}],"replies":[{"embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/comments?post=1028"}],"version-history":[{"count":2,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/1028\/revisions"}],"predecessor-version":[{"id":1032,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/posts\/1028\/revisions\/1032"}],"wp:attachment":[{"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/media?parent=1028"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/categories?post=1028"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/portfolios.cs.earlham.edu\/index.php\/wp-json\/wp\/v2\/tags?post=1028"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}