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The stock market has always been a promising avenue for lucrative investing, but most of the profit making depends on the analysis of the current and past market scenario followed by subsequent predictive actions. The currently overblown market economy has given rise to numerous variables which need to be considered before making a beneficial transaction in the stock market. Manually analysing all these variables and affecting factors is too cumbersome and error prone. Therefore, a Machine Learning approach is best suited for analysis of such a seemingly chaotic system. In this project we are using Machine learning, which give a prediction of various aspects of a particular stock or an index, such as future values of the opening price, closing price, index value etc. This will help investors and traders make better and faster decisions.
[1] Yogita Deshmukh, Deepmala Saratkar, Harshal Hiratkar, Sudhanshu Dhopte, Swapnil Patankar, Triveni Jambhulkar, Yash Tiwari, “Stock Market Prediction Using Machine Learning,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2019.8107
