{"id":1660,"date":"2024-01-19T17:09:30","date_gmt":"2024-01-19T17:09:30","guid":{"rendered":"https:\/\/sbia.org.br\/lnlm\/?page_id=1660"},"modified":"2024-01-19T20:13:34","modified_gmt":"2024-01-19T20:13:34","slug":"vol21-no2-art4","status":"publish","type":"page","link":"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol21-no2\/vol21-no2-art4\/","title":{"rendered":"Study and Analysis of Deep Learning Techniques for Solving Financial Problems"},"content":{"rendered":"<p>Wendell Jo\u00e3o Castro de Avila <a href=\"https:\/\/orcid.org\/0000-0001-7321-9466\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a>, &amp; Ricardo Menezes Salgado <a href=\"https:\/\/orcid.org\/0000-0002-0989-6259\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1167\" src=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/sites\/4\/2020\/09\/orcid.jpg\" alt=\"orcid\" width=\"20\" height=\"20\" \/><\/a><\/p>\n<p><strong>Abstract:<\/strong> Financial markets are competitive environments influenced by several variables and sectors. Wrong decisions can compromise several areas and cause chain reactions that could disrupt various sectors of the economy. In recent years, intelligent models have been used as tools to aid decision-making in financial markets. Deep learning models stand out among them, as they can achieve good generalization with large datasets. The main goal of this paper is to introduce and evaluate deep learning for solving financial problems. We document the process and present the techniques employed to develop models using a dataset containing over 2 million financial data observations. We believe this paper could guide researchers working on similar problems by suggesting resources that can be used and steps that can be followed in similar scenarios, narrowing down the search for efficient financial machine learning models.<\/p>\n<p><strong>Keywords:<\/strong> Deep learning, machine learning, financial markets, finance.<\/p>\n<p><strong>DOI code:<\/strong> <a href=\"http:\/\/dx.doi.org\/10.21528\/lnlm-vol21-no2-art4\">10.21528\/lnlm-vol21-no2-art4<\/a><\/p>\n<p><strong>PDF file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2023\/12\/vol21-no2-art4.pdf\">vol21-no2-art4.pdf<\/a><\/p>\n<p><strong>BibTex file:<\/strong> <a href=\"https:\/\/sbia.org.br\/lnlm\/wp-content\/uploads\/2023\/12\/vol21-no2-art4.bib\">vol21-no2-art4.bib <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Wendell Jo\u00e3o Castro de Avila , &amp; Ricardo Menezes Salgado Abstract: Financial markets are competitive environments influenced by several variables and sectors. Wrong decisions can compromise several areas and cause chain reactions that could disrupt various sectors of the economy. <a href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol21-no2\/vol21-no2-art4\/\" class=\"read-more\">Read More &#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":1613,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1660","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Study and Analysis of Deep Learning Techniques for Solving Financial Problems - Learning and NonLinear Models<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sbia.org.br\/lnlm\/publicacoes\/vol21-no2\/vol21-no2-art4\/\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Study and Analysis of Deep Learning Techniques for Solving Financial Problems - Learning and NonLinear Models\" \/>\n<meta property=\"og:description\" content=\"Wendell Jo\u00e3o Castro de Avila , &amp; Ricardo Menezes Salgado Abstract: Financial markets are competitive environments influenced by several variables and sectors. Wrong decisions can compromise several areas and cause chain reactions that could disrupt various sectors of the economy. 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