{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T08:04:05Z","timestamp":1784880245538,"version":"3.55.0"},"reference-count":36,"publisher":"SAGE Publications","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IDA"],"published-print":{"date-parts":[[2023,10,6]]},"abstract":"<jats:p>With the development of smart cities, the demand for personal financial services is becoming more and more importance, and personal investment suggestion is one of them. A common way to reach the goal is using a technical indicator to form trading strategy to find trading signals as trading suggestion. However, using only a technical indicator has its limitations, a technical indicator portfolio is further utilized to generate trading signals for achieving risk aversion. To provide a more reliable trading signals, in this paper, we propose an optimization algorithm for obtaining a technical indicator portfolio and its parameters for predicting trends of target stock by using the memetic algorithm. In the proposed approach, the genetic algorithm (GA) and simulated annealing (SA) algorithm are utilized for global and local search. In global search, a technical indicator portfolio and its parameters are first encoded into a chromosome using a bit string and real numbers. Then, the initial population is generated based on the encoding scheme. Fitness value of a chromosome is evaluated by the return and risk according to the generated trading signals. In local search, SA is employed to tune parameters of indicators in chromosomes. After that, the genetic operators are continue employed to generate new offspring. Finally, the chromosome with the highest fitness value could be provided to construct transaction robot for making investment plans in smart city environment. Experiments on three real datasets with different trends were made to show the effectiveness of the proposed approach, including uptrend, consolidation, and downtrend. The total returns of them on testing datasets are 26.53% 33.48%, and 9.7% that indicate the proposed approach can not only reach risk aversion in downtrends but also have good returns in others.<\/jats:p>","DOI":"10.3233\/ida-220755","type":"journal-article","created":{"date-parts":[[2023,8,18]],"date-time":"2023-08-18T11:34:20Z","timestamp":1692358460000},"page":"1433-1456","source":"Crossref","is-referenced-by-count":2,"title":["A memetic-based technical indicator portfolio and parameters optimization approach for finding trading signals to construct transaction robot in smart city era"],"prefix":"10.1177","volume":"27","author":[{"given":"C.H.","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Computer Science and Information Engineer, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"S.T.","family":"Hung","sequence":"additional","affiliation":[{"name":"Department of Information and Finance Management, National Taipei University of Technology, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.T.","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineer, Tamkang University, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C.S.","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Information and Finance Management, National Taipei University of Technology, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"R.D.","family":"Chiang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Information Engineer, Tamkang University, Taipei, Taiwan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","reference":[{"key":"10.3233\/IDA-220755_ref1","doi-asserted-by":"crossref","first-page":"146876","DOI":"10.1109\/ACCESS.2019.2945907","article-title":"Cost-sensitive prediction of stock price direction: Selection of technical indicators","volume":"7","author":"Alsubaie","year":"2019","journal-title":"IEEE Access"},{"key":"10.3233\/IDA-220755_ref2","doi-asserted-by":"crossref","first-page":"64929","DOI":"10.1109\/ACCESS.2021.3073507","article-title":"Ensemble technique with optimal feature selection for Saudi stock market prediction: A novel hybrid red deer-grey algorithm","volume":"9","author":"Alotaibi","year":"2021","journal-title":"IEEE Access"},{"issue":"3","key":"10.3233\/IDA-220755_ref3","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1007\/BF00126626","article-title":"Introduction to financial forecasting","volume":"6","author":"Abu-Mostafa","year":"1996","journal-title":"Applied Intelligence"},{"key":"10.3233\/IDA-220755_ref4","doi-asserted-by":"crossref","first-page":"101016","DOI":"10.1016\/j.swevo.2021.101016","article-title":"Multi-objective enhanced memetic algorithm for green job shop scheduling with uncertain times","volume":"68","author":"Afsar","year":"2022","journal-title":"Swarm and Evolutionary Computation"},{"key":"10.3233\/IDA-220755_ref5","doi-asserted-by":"crossref","first-page":"103949","DOI":"10.1016\/j.scs.2022.103949","article-title":"A systematic survey of Internet of Things frameworks for smart city applications","volume":"83","author":"Abad\u00eda","year":"2022","journal-title":"Sustainable Cities and Society"},{"issue":"4","key":"10.3233\/IDA-220755_ref7","doi-asserted-by":"crossref","first-page":"1023","DOI":"10.3233\/IDA-216011","article-title":"A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction","volume":"26","author":"Bhatia","year":"2022","journal-title":"Intelligent Data Analysis"},{"key":"10.3233\/IDA-220755_ref9","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.eswa.2017.04.030","article-title":"Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies","volume":"83","author":"Chong","year":"2017","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/IDA-220755_ref10","doi-asserted-by":"crossref","first-page":"155871","DOI":"10.1109\/ACCESS.2019.2949055","article-title":"An effective approach for the diverse group stock portfolio optimization using grouping genetic algorithm","volume":"7","author":"Chen","year":"2019","journal-title":"IEEE Access"},{"key":"10.3233\/IDA-220755_ref11","doi-asserted-by":"crossref","first-page":"21745","DOI":"10.1109\/ACCESS.2018.2828499","article-title":"Ant colony optimization based memetic algorithm to solve bi-objective multiple traveling salesmen problem for multi-robot systems","volume":"6","author":"Chen","year":"2018","journal-title":"IEEE Access"},{"issue":"3","key":"10.3233\/IDA-220755_ref13","doi-asserted-by":"crossref","first-page":"499","DOI":"10.15388\/21-INFOR471","article-title":"Tabu search based hybrid meta-heuristic approaches for schedule-based production cost minimization problem for the case of cable manufacturing systems","volume":"33","author":"Daneshdoost","year":"2022","journal-title":"Informatica"},{"key":"10.3233\/IDA-220755_ref14","doi-asserted-by":"crossref","first-page":"104089","DOI":"10.1016\/j.scs.2022.104089","article-title":"Applications of ML\/DL in the management of smart cities and societies based on new trends in information technologies: A systematic literature review","volume":"85","author":"Heidari","year":"2022","journal-title":"Sustainable Cities and Society"},{"issue":"2","key":"10.3233\/IDA-220755_ref15","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1109\/TFUZZ.2019.2904920","article-title":"Automated trading point forecasting based on bicluster mining and fuzzy inference","volume":"28","author":"Huang","year":"2019","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"10.3233\/IDA-220755_ref16","doi-asserted-by":"crossref","first-page":"103794","DOI":"10.1016\/j.cities.2022.103794","article-title":"Future smart cities requirements, emerging technologies, applications, challenges, and future aspects","volume":"129","author":"Javed","year":"2021","journal-title":"Cities"},{"issue":"5","key":"10.3233\/IDA-220755_ref18","doi-asserted-by":"crossref","first-page":"494","DOI":"10.3390\/e21050494","article-title":"A novel hybrid meta-heuristic algorithm based on the cross-entropy method and firefly algorithm for global optimization","volume":"21","author":"Li","year":"2016","journal-title":"Entropy"},{"issue":"4","key":"10.3233\/IDA-220755_ref19","doi-asserted-by":"crossref","first-page":"1705","DOI":"10.1111\/0022-1082.00265","article-title":"Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation","volume":"55","author":"Lo","year":"2000","journal-title":"The Journal of Finance"},{"issue":"5","key":"10.3233\/IDA-220755_ref20","first-page":"2413","article-title":"Pearson correlation coefficient-based performance enhancement of broad learning system for stock price prediction","volume":"69","author":"Li","year":"2022","journal-title":"IEEE Transactions on Circuits and Systems II: Express Briefs"},{"key":"10.3233\/IDA-220755_ref21","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.irfa.2015.05.016","article-title":"History of share prices and market efficiency of the Madrid general stock index","volume":"40","author":"Metghalchi","year":"2015","journal-title":"International Review of Financial Analysis"},{"key":"10.3233\/IDA-220755_ref22","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1016\/j.dss.2015.06.001","article-title":"Personalized finance advisory through case-based recommender systems and diversification strategies","volume":"77","author":"Musto","year":"2015","journal-title":"Decision Support Systems"},{"issue":"2","key":"10.3233\/IDA-220755_ref23","doi-asserted-by":"crossref","first-page":"100130","DOI":"10.1016\/j.jjimei.2022.100130","article-title":"How can we use artificial intelligence for stock recommendation and risk management? A proposed decision support system","volume":"2","author":"Gonzales","year":"2022","journal-title":"International Journal of Information Management Data Insights"},{"key":"10.3233\/IDA-220755_ref24","doi-asserted-by":"crossref","first-page":"124144","DOI":"10.1016\/j.physa.2020.124144","article-title":"The profitability of Bollinger bands: Evidence from the constituent stocks of Taiwan 50","volume":"551","author":"Ni","year":"2020","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"key":"10.3233\/IDA-220755_ref25","doi-asserted-by":"crossref","unstructured":"R.F. O\u011fuz, Y. Uygun, M.S. Akta\u015f and \u0130. Aykurt, On the use of technical analysis indicators for stock market price movement direction prediction, in: The Signal Processing and Communications Applications Conference, 2019, pp. 1\u20134.","DOI":"10.1109\/SIU.2019.8806422"},{"key":"10.3233\/IDA-220755_ref26","doi-asserted-by":"crossref","first-page":"100060","DOI":"10.1016\/j.mlwa.2021.100060","article-title":"Feature selection and deep neural networks for stock price direction forecasting using technical analysis indicators","volume":"5","author":"Peng","year":"2021","journal-title":"Machine Learning with Applications"},{"issue":"4","key":"10.3233\/IDA-220755_ref27","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1111\/j.1467-6419.2007.00519.x","article-title":"What do we know about the profitability of technical analysis","volume":"21","author":"Park","year":"2007","journal-title":"Journal of Economic Surveys"},{"issue":"7","key":"10.3233\/IDA-220755_ref28","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1016\/S0305-0548(03)00063-7","article-title":"Generating trading rules on the stock markets with genetic programming","volume":"31","author":"Potvin","year":"2004","journal-title":"Computers and Operations Research"},{"key":"10.3233\/IDA-220755_ref29","doi-asserted-by":"crossref","first-page":"101545","DOI":"10.1016\/j.is.2020.101545","article-title":"Recommender systems for smart cities","volume":"92","author":"Quijano-S\u00e1nchez","year":"2020","journal-title":"Information Systems"},{"issue":"9","key":"10.3233\/IDA-220755_ref30","doi-asserted-by":"crossref","first-page":"1475","DOI":"10.3390\/electronics11091475","article-title":"An efficient and robust improved whale optimization algorithm for large scale global optimization problems","volume":"11","author":"Sun","year":"2022","journal-title":"Electronics"},{"issue":"3","key":"10.3233\/IDA-220755_ref31","doi-asserted-by":"crossref","first-page":"106","DOI":"10.23919\/CJEE.2020.000024","article-title":"Fault diagnosis of photovoltaic array based on deep belief network optimized by genetic algorithm","volume":"6","author":"Tao","year":"2020","journal-title":"Chinese Journal of Electrical Engineering"},{"key":"10.3233\/IDA-220755_ref32","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.irfa.2013.08.005","article-title":"Drivers of technical trend-following rules\u2019 profitability in world stock markets","volume":"30","author":"\u00dclk\u00fc","year":"2013","journal-title":"International Review of Financial Analysis"},{"issue":"7","key":"10.3233\/IDA-220755_ref33","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1080\/0960310022000020906","article-title":"How rewarding is technical analysis? Evidence from Singapore stock market","volume":"13","author":"Wong","year":"2010","journal-title":"Applied Financial Economics"},{"key":"10.3233\/IDA-220755_ref34","doi-asserted-by":"crossref","unstructured":"J. Wang, X. Shang, T. Guo, J. Zhou, S. Jia and C. Wang, Optimal path planning based on hybrid genetic-cuckoo search algorithm, in: The International Conference on Systems and Informatics, 2019, pp. 165\u2013169.","DOI":"10.1109\/ICSAI48974.2019.9010519"},{"issue":"10","key":"10.3233\/IDA-220755_ref35","doi-asserted-by":"crossref","first-page":"2585","DOI":"10.1016\/j.cor.2013.02.014","article-title":"Coupling a memetic algorithm to simulation models for promising multi-period asset allocations","volume":"40","author":"Yu","year":"2013","journal-title":"Computers and Operations Research"},{"issue":"1","key":"10.3233\/IDA-220755_ref36","doi-asserted-by":"crossref","first-page":"239","DOI":"10.3233\/IDA-205693","article-title":"An adaptive simulated annealing and artificial fish swarm algorithm for the optimization of multi-depot express delivery vehicle routing","volume":"26","author":"Yuan","year":"2022","journal-title":"Intelligent Data Analysis"},{"key":"10.3233\/IDA-220755_ref37","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.ins.2016.05.038","article-title":"A novel forecasting method based on multi-order fuzzy time series and technical analysis","volume":"367","author":"Ye","year":"2016","journal-title":"Information Sciences"},{"key":"10.3233\/IDA-220755_ref38","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.eswa.2016.09.027","article-title":"Forecasting daily stock market return using dimensionality reduction","volume":"67","author":"Zhong","year":"2017","journal-title":"Expert Systems with Applications"},{"issue":"6","key":"10.3233\/IDA-220755_ref39","doi-asserted-by":"crossref","first-page":"1459","DOI":"10.3233\/IDA-150292","article-title":"Optimal estimates for short horizon travel time prediction in urban areas","volume":"20","author":"\u017dliobait\u0117","year":"2015","journal-title":"Intelligent Data Analysis"},{"issue":"1","key":"10.3233\/IDA-220755_ref40","doi-asserted-by":"crossref","first-page":"189","DOI":"10.3233\/IDA-205695","article-title":"Particle swarm optimization pattern recognition neural network for transmission lines faults classification","volume":"26","author":"Zhang","year":"2022","journal-title":"Intelligent Data Analysis"}],"container-title":["Intelligent Data Analysis"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/IDA-220755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:20:13Z","timestamp":1777454413000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/IDA-220755"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,6]]},"references-count":36,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.3233\/ida-220755","relation":{},"ISSN":["1088-467X","1571-4128"],"issn-type":[{"value":"1088-467X","type":"print"},{"value":"1571-4128","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,6]]}}}