We began by getting a good understanding of the overall key processes of the proposed solution by mapping them out with data acquisition modelling. Next, we determined the areas which needed targeting that we agreed should be implemented into business processes. We also made sure we analysed the processes with our improvements and see how these improvements were handled with test cases to validate our assumptions.
Our primary objective is to enable a user to understand the historical stock prices and provide him the visibility into the movement of the stock prices for the following day. For this project, we have considered companies from the NASDAQ 100 Stock List.
The above image illustrates the achitecture used in the project.
Full Name | Student ID | Contribution | |
---|---|---|---|
Akshay Sachdeva | A0198532W | Project idea, Backend Framework(Data Mining with python, Indicators), Frontend Framework, Project Report, Video Recording, User Guide, Deployment on AWS(Docker, MySql Integration), Logo Design, Stock Domain knowledge, Project Management, Integration(Frontend and Backend), Testing(Locally, AWS) | e0402073@u.nus.edu |
Aniket Mohan Arasanipalai | A0198481N | Project idea,Backend Framework(Data Mining with python, Indicators), Project Report, Video Recording, Stock Domain knowledge, Project Management, Testing | e0402022@u.nus.edu |
Siddhant Naveria | A0198485H | Project idea, Frontend Framework(Design, Restful Services), Testing, Video Recording, Stock Domain knowledge, Integration(Frontend and Backend) | e0402031@u.nus.edu |
Ma Weizhong | A0198426R | Project idea, J2EE backend framework(Restful Services, Genetic & Decision Tree algorithms, Java call Python, MySql Integration, Data Mining with python ), Stock Domain knowledge, Testing | e0401967@u.nus.edu |
View Intelligent Stock Prediction System User Guide