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 A LSTM based model for stock price analysis and prediction Subject The topic of the resource LSTM; Machine Learning; Stock Price prediction Description An account of the resource The share market in India is exceedingly unpredictable and volatile, with an infinite range of factors regulating the share market's orientations and tendencies; hence, forecasting the upswing and downturn is a difficult procedure. Because of several essential aspects, the principles of share market have always been unclear for shareholders. This study aims to significantly reduce the likelihood of analysis and forecasting with Long Short-term Memory (LSTM) model approach that is both resilient yet easy is still suggested. LSTM is a complete Learning Model that is a Predictive Method. Conversely, advancements in technology have opened the way for more efficient and precise share market forecasting in current times. Using the provided historical data sets, the results showed that the LSTM model has considerable potential for forecasting. 2023 Author(s). Creator An entity primarily responsible for making the resource Basha M.S.A.; Sucharitha M.M.; Krishnan V.S.; Lakshmi M.B. Source A related resource from which the described resource is derived AIP Conference Proceedings, Vol-2888, No. 1 Publisher An entity responsible for making the resource available American Institute of Physics Inc. 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/10.1063/5.0164524" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0164524</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176772176&amp;doi=10.1063%2F5.0164524&amp;partnerID=40&amp;md5=264f5ba90dd52ae413e34b076aa14af3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176772176&amp;doi=10.1063%2f5.0164524&amp;partnerID=40&amp;md5=264f5ba90dd52ae413e34b076aa14af3</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0094243X 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 Basha M.S.A., GITAM School of Business, Gandhi Institute of Technology and Management, GITAM University, Karnataka, Bengaluru, India; Sucharitha M.M., School of Commerce, Finance and Accountancy, CHRIST University, Karnataka, Bengaluru, India; Krishnan V.S., School of Commerce, Finance and Accountancy, CHRIST University, Karnataka, Bengaluru, India; Lakshmi M.B., School of Commerce, Finance and Accountancy, CHRIST University, Karnataka, Bengaluru, India