Stock Analysis System For The Stock Exchange Of Thailand

In this work, we develop the stock analysis system which consists of data collection, data analytic, database and android application which guides the investors to buy, sell or hold a stock. Herein, we propose the analysis of stock data in Stock Exchange of Thailand (SET) using the economic information, historical stock prices, financial statement and exchange rate. The normalized-cross correlation is used to analyze the tendencies of gross profit. Furthermore, we apply the Artificial Neural Network (ANN) to predict the net profit of a public company in SET. Our prediction can provide that the prediction errors are less than 15%.