Real-Time Decision Support System for Stock Trading

Equity trading systems require the trader to constantly make decisions about buying or selling equities quickly in a highly stressful environment. The information is typically confusing, highly dynamic, and imprecise and often conflicts with other information. There is also a huge amount of information that could potentially be used in the decision making process. There is very high potential for significant financial gains or losses depending on what decisions are made. This project aims to develop a decision support system that offers the most relevant information in a fashion that is helpful rather than confusing. The problem of selecting the right stock at the right time involves not only uncertain, dynamic and imprecise information but also selecting from a number of alternatives that need to be ranked based on several, and sometimes conflicting, criteria.

Faculty Supervisor:

Abdallah Mohamed;Yong Gao

Student:

Partner:

invLogik Solutions inc

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of British Columbia - Okanagan

Program: