Huang, DanyaCheng, XusenHou, tingtingLiu, KunLi, Chengyao2019-01-022019-01-022019-01-08978-0-9981331-2-6http://hdl.handle.net/10125/59564Automated trading system (ATS) is a computer program that combines different trading rules to find optimal trading opportunities. The objects of ATS, which are financial assets, need evaluation because that is of great significance for stakeholders and market orders. From the perspectives of dealers, agents, external environment, and objects themselves, this study explored factors in evaluating and choosing the object of ATS. Based on design science research (DSR), we presented a preliminary evaluation framework and conducted semi-structured interviews with twelve trading participants engaged in different occupations. By analyzing the data collected, we validated eight factors from literatures and found four new factors and fifty-four sub-factors. Additionally, this paper developed a relationship model of factors. The results could be used in future work to explore and validate more evaluation factors by using data mining.10 pagesengAttribution-NonCommercial-NoDerivatives 4.0 InternationalDecision Support for Smart CitiesDecision Analytics, Mobile Services, and Service ScienceAutomated trading system, evaluation factors, evaluation framework, object evaluationConference Paper10.24251/HICSS.2019.152