Developing a framework for trend prediction of stocks prices

Abstract

The stock market is a very important element of a country’s economy. Investment in the stock markets is a common trend among the people throughout the world. However, the investments at the stock markets may become very risky if people are not well aware of the trend of stock prices. People may gain money or lose their entire life savings by wrong investments at the stock markets. Previously the world has witnessed many stock market disasters, the crippling economic condition of an entire nation. This can be avoided to some extent if the market can be predicted in advance. Considering this fact, in this paper, a technique is proposed to predict the stock prices of different companies using the concepts of deep learning. Our system’s performance is evaluated by using data from the websites of the Wall Street Journal and Alphavantage. Experimental results show that our system can perform a very good prediction of stock prices.