A Concise Survey On Predicting Stock Prices

Stocks price prediction is a current highly profitable area of research where future stock value predictions are made utilising different deep learning models and various machine learning algorithms. Due to the erratic price changes, market participants have exhibited interest in the subject of stock prediction. Since stock prices are effected by various factors, it becomes difficult to predict the trend in which the direction of price moves. This forecasting of prices helps investors reduce risk and help them to take informed decision. This papers reviews previously proposed model ranging since 2015 to 2022. All papers are classified into different segments that are then compared and analyzed, this research also reviews the data sets and the models proposed in this paper. This research compares hybrid machine models and through this survey the authors conclude that machine learning techniques are rapidly used for financial modeling.