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The main objective of this research work is to predict the direction movement of the daily stock prices index using the artificial neural network (ANN) and support vector machine (SVM). The datasets utilized in this study are the KSE\u2010100 index of the Pakistan stock exchange, Korea composite stock price index (KOSPI), Nikkei 225 index of the Tokyo stock exchange, and Shenzhen stock exchange (SZSE) composite index for the last ten years that is from 2011 to 2020. To build the architect of a single layer ANN and SVM model with linear, radial basis function (RBF), and polynomial kernels, different technical indicators derived from the daily stock trading, such as closing, opening, daily high, and daily low prices and used as input layers. Since both the ANN and SVM models were used as classifiers; therefore, accuracy and <jats:italic>F<\/jats:italic>\u2010score were used as performance metrics calculated from the confusion matrix. It can be concluded from the results that ANN performs better than SVM model in terms of accuracy and <jats:italic>F<\/jats:italic>\u2010score to predict the direction movement of the KSE\u2010100 index, KOSPI index, Nikkei 225 index, and SZSE composite index daily closing price movement.<\/jats:p>","DOI":"10.1155\/2021\/2906463","type":"journal-article","created":{"date-parts":[[2021,12,2]],"date-time":"2021-12-02T23:20:06Z","timestamp":1638487206000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":31,"title":["Predicting the Direction Movement of Financial Time Series Using Artificial Neural Network and Support Vector Machine"],"prefix":"10.1155","volume":"2021","author":[{"given":"Muhammad","family":"Ali","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3919-8136","authenticated-orcid":false,"given":"Dost Muhammad","family":"Khan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1895-5350","authenticated-orcid":false,"given":"Muhammad","family":"Aamir","sequence":"additional","affiliation":[]},{"given":"Amjad","family":"Ali","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2615-1443","authenticated-orcid":false,"given":"Zubair","family":"Ahmad","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,12,2]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0169-2070(99)00048-5"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/bf00126626"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8640.2007.00303.x"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.2307\/1912773"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(86)90063-1"},{"key":"e_1_2_9_6_2","volume-title":"Time Series Analysis: Forecasting and Control","author":"Box G.","year":"1976"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0957-4174(00)00027-0"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/s0925-2312(03)00372-2"},{"key":"e_1_2_9_9_2","unstructured":"ManishK.andThenmozhiM. 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