Stock Market Analysis through Machine Learning Algorithms

Abstract

Machine learning and its role in the future price determination or stock prediction is being done here. The data is of SNP 500 list which is a list of top companies. Company tickers are extracted and also the respective stock data. We study about various machine learning classifiers and how they are being used in the process. This field of research is also referred to as Algorithmic Trading. It strategically focuses on monitoring the market for any changes ie the deviation of the parameter ( the value who’s prediction is to be made ) . In case of stock market with the help of proper algorithms we can decide whether to buy, sell or hold a stock. Various data manipulations are done and the feature sets made were assigned to different labels and the after this classifiers were used to predict the three conditions specified above.