Stock Price Forecasting Dashboard using Data Mining “ForecastFuture”

• Main Author: Akhiar, Fakhri Akhdan
• Format: Final Year Project
• Language: English
• Published: IRC 2015
• Subjects: T Technology (General)
• Online Access: http://utpedia.utp.edu.my/15873/1/Fakhri_Akhdan_17821.pdf; http://utpedia.utp.edu.my/15873/
• Institution: Universiti Teknologi Petronas

Stock price forecasting Dashboard is an application that enable the user to predict he price of particular stock quote and help them to make decision making with fundamental source of information. The dashboard is mainly targeted to the early investor or individual with low level of understand to the stock investment and the prediction. User is only need to write the stock and the country code at the text box entitled which the application later will find the historical data at the live database. From the historical data, a plot of historical and future price will be plotted added with news from twitter newsfeed to compliment the result. This report intends to technical analysis with time series analysis equipped with the statistical model and data mining techniques to predict the stock price trends. Findings indicate that implementation data mining onto stock price historical data to apply on the statistical model is able to provide fast and better result of prediction. Later, Fundamental added into this application will suggest the user to make right decision after the prediction has been plotted in time series format. As stock market known for its risk and uncertainty, attempt to forecast the price is required further studies and readiness to accept the future realities.