Pattern Recognition in Stock Market

Financial markets have a significant role in the development of contemporary society. They allow the deployment of economic resources. The increase/decrease of stock prices affects the stock market movement. In this study, we focus on predicting stock prices by machine learning model. This paper presents feasible method to predict stock movement with more accuracy. Identifying patterns in high dimensional data are difficult because data cannot be visualized easily. High dimensional data can into various machine learning methods to classify and predict data from the specified datasets. The frequent fluctuation in Stock Market Price makes the prediction process difficult. Correct prediction of Stocks can yield more profit. This paper presents the tactics to spot the pattern hidden within historical data and provides the means to predict the long term values.