Predicting future movement patterns of stock prices has been a widely researched area in the literature. Various technical, basic and statistical indicators have been proposed and used with different results. However, no technique or combination of techniques has been successful enough to consistently "beat the market". With the development of neural networks, researchers and investors hope that the mysteries of the market can be unraveled. With the increasing economic globalization and the appreciation of information technology, it has become increasingly challenging, important and rewarding to analyze stock market data to predict the future of the stock. Therefore, the current study will provide basic information on stock price prediction models and artificial intelligence research to help investors make the right decisions when trading.
