There are 60 major stock exchanges around the world with a total value of $69 trillion. Stocks are traded almost daily. Stock data is available on the Internet right from the beginning. Prediction of stock market is an attractive topic for researchers of different fields. Before the advent of machine learning and data science, stock market movement was primarily analyzed using statistical and technical factors. Now with the help of machine learning techniques, it is possible to accurately identify the stock market movement. Various machine learning techniques like support machine vectors, random forests, gradient boosted trees, etc. have been successfully used in the past to predict stock prices. © Springer Nature Singapore Pte Ltd. 2019.