Systematic Literature Review of Applications of Data Science Techniques in the Domain of Indian Stock Markets With a Focus on Identifying Investor Opportunities

Abstract

Any investment model relies on capital for the investment to grow. The investment model such as Indian stock market relies on public to invest their savings and the investments thus acts as a source for the growth of both the individual investor and the country’s economy. In India, a very small proportion of the population invests in stock markets while there is a large proportion with capital and do not invest due to the lack of adequate knowledge or due to the lack of adequate understanding on how to utilize the public information available on the markets. In this study, the scope is to perform a systematic literature review to understand what level of analytics and applications of data science are available for individuals to understand how publicly available data can be used along with data science techniques on stock markets.

Keywords: Opportunity Cost, Stock Market, Machine Learning, Deep Learning.