Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Stock Market Prediction Techniques Using Artificial Intelligence: A Systematic Review Subject The topic of the resource Artificial intelligence; Deep learning; Expert systems; Forecasting; Hybrid learning; Machine learning; Stock market Description An account of the resource This paper systematically reviews the literature related to stock price prediction systems. The reviewers collected 6222 research works from 12 databases. The reviewers reviewed the full-text of 10 studies in preliminary search and 70 studies selected based on PRISMA. This paper uses the PRISMA-based Python framework systematic-reviewpy to conduct this systematic review and browser-automationpy to automate downloading of full-texts. The programming code with comprehensive documentation, citation data, input variables, and reviews spreadsheets is provided, making this review replicable, open-source, and free from human errors in selecting studies. The reviewed literature is categorized based on type of prediction systems to demonstrate the evolution of techniques and research gaps. The reviewed literature is 7 % statistical, 9% machine learning, 23% deep learning, 20% hybrid, 25% combination of machine learning and deep learning, and 14% studies explore multiple categories of techniques. This review provides detailed information on prediction techniques, competitor techniques, performance metrics, input variables, data timing, and research gap to enable researchers to create prediction systems per technique category. The review showed that stock trading data is most used and collected from Yahoo! Finance. Studies showed that sentiment data improved stock prediction, and most papers used tweets from Twitter. Most of the reviewed studies showed significant improvements in predictions to previous systems. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Chaudhari C.; Purswani G. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-608, pp. 219-233. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-19-9225-4_17" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-9225-4_17</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150980723&amp;doi=10.1007%2F978-981-19-9225-4_17&amp;partnerID=40&amp;md5=74ef09d14b4d836e3fe149c5c3b30bf4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150980723&amp;doi=10.1007%2f978-981-19-9225-4_17&amp;partnerID=40&amp;md5=74ef09d14b4d836e3fe149c5c3b30bf4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370; ISBN: 978-981199224-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chaudhari C., Department of Commerce, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Purswani G., Department of Commerce, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India