Stock Price Movement Prediction using Machine Learning

Abstract

Forecasting the future value of stocks traded on a stock exchange to make a profit is a common practice, and machine learning algorithms can help in this process by analysing various market elements. However, predicting stock prices accurately is challenging due to several factors that affect them. Researchers often use technical or fundamental analysis techniques to predict market trends, where technical analysis involves studying price movements, while fundamental analysis involves studying qualitative data from sources like financial news and reports. Over time, the availability of online market data has increased, providing more information for analysis.