In this research we developed a web application is recognize the moods of users based on the online data collected from stock market in Thailand. The main idea to predict the trend of future behavior and the emotions of investors based on the classifications via stock market history data previously collected form the web application using web board. Out system could significantly help the investors and interested users in the process of decision to buy or sell stock shares marking online in real market situations in Thailand, this web application development. The developed application was written in PHP language through MySQL database. Our developed web application is divided into 2 sections; a user page and a page for the system. Web application can refresh 24 hour for collect data to database and user can use this web application 24 hour, But user most active in the period 08.00-17.00. The application analyzes and extract emotions of user based on the comment shared and displayed online to Compare the price of the Stock market sensation over the past by chart, investors have to choose such as line charts and pie charts. The developed application can help investors to decision is stock market buyers and sellers in online especially in situation with high risk and uncertainty.