Feature Engineering for Stock Price Prediction

Abstract

It is generally accepted that stock market is viewed as a multifaceted non-linear dynamic system, in which it is normally affected by numerous aspects. Previously, it had been stated that traditional analysis and forecasting methods are not performing well to accurately expose the intrinsic pattern for stock market. Consequently, big differences between expected and observed results. Nevertheless, recently many researchers have implemented several machine learning approaches to forecast the future stock market prices more accurately and precisely