Forecasting is a challenge to predict how a future result will occur. The main aim of forecasting the occurrence of this result is for decision makers to make better decision. Stock markets areas typically generate large volumes of data through trading, transactions or operations. Stock market helps traders to gain an insight into the economy, stock analysis, or securities. It involves studying the historical and current market data and developing methodologies for selecting the right stocks to trade. In today's financial world, the stock market has become one of the most important events. People make decisions to invest in the stock market based on previous research knowledge and predictions. Stock forecasting plays an important role in the increasingly difficult stock market business as people often look for tools and methods to minimize risk and maximize profits when it comes to forecasting. Employing traditional techniques such as fundamental and technical analysis does not seem to guarantee the consistency and accuracy of forecasts. As a result, machine learning techniques have become the latest trend in stock market forecasting, which is ultimately based on existing stock market values results of training on previous values. In this paper we study the factor who affects the stock market.