SECTION 1 : PROJECT TITLE

Intelligent Stock Prediction System


SECTION 2 : EXECUTIVE SUMMARY

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.


SECTION 3 : PROJECT CONTRIBUTION

Full Name Student ID Contribution Email
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

SECTION 4 : VIDEO OF SYSTEM MODELLING & USE CASE DEMO

[Demo Video]


SECTION 5 : USER GUIDE

View Intelligent Stock Prediction System User Guide


SECTION 6 : PROJECT REPORT / PAPER

View Project Report