With the rapid development of the global capital market, there is a need for tools that can help the capital market industry deal with uncertainty. One of the solutions offered is the use of machine learning technology that can help predict stock prices or stock market indices and other uses in the capital market industry. This research provides an overview of machine learning technology in general and its implementation, especially in the capital market industry, based on a systematic literature review methodology that takes data from 47 previous research articles to answer the research question posed by the researcher, such as the latest trends in the use of machine learning, algorithms used, regions that implemented and stock exchanges and indices that are the object of machine learning implementation in the capital market industry. In addition, this research is expected to give research gaps that can be utilized by researchers for future research on the topic of machine learning implementation in the global capital market industry.