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 price prediction based on technical indicators with soft computing models Subject The topic of the resource Back Propagation Neural Network (BPNN); Intraday stock price prediction; MAE; MAPE; Technical indicators; Time Delay Neural Network (TDNN) Description An account of the resource Stock market prediction is a very tough task in the finance world. Since stock prices are dynamic, noisy, non-scalable, non-linear, non-parametric and complicated. In recent years, soft computing techniques are used for developing stock prediction model. The main focus of this study is to develop and compare the efficiency of the three different soft computing techniques for predicting the intraday price of individual stocks. The proposed models are based on Time Delay Neural Network (TDNN), Radial Basis Function Neural Network (RBFNN) and Back Propagation Neural Network (BPNN). The predictive models are developed using technical indicators. Sixteen technical indicators were calculated from the historical price and used as inputs of the developed models. Historical prices from 01/01/2018 to 28/02/2018, where the time interval between samples is one minute, are utilized for developing models. The performance of the proposed models is evaluated by measuring some metrics. Also, this study compares the results with other existing models. The experimental result revealed that the BPNN outperforms TDNN, RBFNN as well as other existing models considered for comparison. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. Creator An entity primarily responsible for making the resource Kumar Chandar S. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-1200 AISC, pp. 685-699. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-51859-2_62" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-51859-2_62</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089241595&amp;doi=10.1007%2F978-3-030-51859-2_62&amp;partnerID=40&amp;md5=7230cfc4b7f19eb41ae1a5a5262d58a8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089241595&amp;doi=10.1007%2f978-3-030-51859-2_62&amp;partnerID=40&amp;md5=7230cfc4b7f19eb41ae1a5a5262d58a8</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-303051858-5 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 Kumar Chandar S., School of Business and Management, CHRIST (Deemed to Be University), Bangalore, India, Department of Management Studies, Christ University, Bangalore, India