| Title | Financial Data Forecaster |
| Supervisor | Dr. C.L. Beta Yip |
| Student | Jordan Yew Tien Foo |
Stock market prediction has always been a popular topic among researchers and investors around the globe. Many people have been trying to make investment return by buying and selling financial instruments like stocks and bonds.
For example, a trader would predict a future price of a stock and buy the stock before the price rises or sell it before its value declines.
However, stock prices are considered to be very dynamic and susceptible to quick changes because of a mix of known parameters (closing prices, volumes of transactions) and unknown factors (rumors, election results, policy change in federal interest rates).
Despite of the volatile stock market, in this project we try to analyze the underlying price patterns and predict their stock prices based on various situations. The prediction model can then be taken in reference to making instantaneous investment decisions.
If we can somewhat obtain a moderately accurate algorithm, this would result into higher profits made for investors.
Current progress: Submission of project plan project-plan.pdf