Stock Trend Prediction: A Comparative Study using Different Approaches

With proper knowledge of any company’s stock and insight, one can gain large profits sitting at home. The stock market of a company is a time-series data and stock price prediction is one of the fields where many researchers have gathered interest to predict the stock prices or trends of the future using historical data and technical indicators with high accuracy. A Simple Moving Average is very useful in predicting the future price direction and gives a good assumption about the future price. A good prediction model of a stock’s future price will increase the trader’s profits. This research proposed a novel model by utilizing the deep learning model, LS TM (Long Short-Term Memory) to predict the stock trend with two different approaches-with and without using a sliding window. The results are then compared and analyzed.