期刊名称：International Journal of Advances in Engineering and Management
电子版ISSN：2395-5252
出版年度：2020
卷号：2
期号：9
页码：578-583
DOI：10.35629/5252-0209491506
语种：English
出版社：IJAEM JOURNAL
摘要：Today’s stock markets are more volatile than ever. The amount of information freely available is increasing at an exponential rate. However, such massive amounts of information is difficult for human traders to fully utilise. This information is thus used by advanced artificial intelligence algorithms and models which identify even the smallest of irregularities in the markets and exploit them for a profit. The scope, limitations and the technical variables that are a part and parcel of these AI systems need to be understood and evaluated in order to make the most out of these systems. The study shows that the indicators with a high correlation with the stock prices such as Triangular Moving Average and Simple Moving Average must be a part of the machine learning AI model. On the other hand, the indicators such as MACD and RSI are inaccurate predictors. The study also pinpoints 2 key problems with this technology: finding sufficient high-quality data to feed and train systems, and the scale of human effort required to run systems.
关键词：Stock Market;Artificial Intelligence;Future of Artificial Intelligence in Stock Market
