Automated Trading System

Abstract

This project involves the creation of an intelligent stock trading system that saves investors time by minimizing the role of the broker. It offers various modes to the user whereby the user can construct portfolios, stay updated with the latest market news, get recommendations on which shares to buy or sell, graphically view the performance of companies on the Karachi Stock Exchange and customize portfolios based on the budget and investment strategy being employed. The system’s app also involves a tutorial mode which teaches new users on how to use the App. A major feature in the App is that it offers a game mode which provides investors a virtual trading platform that can show users what they can get out of their investments if they invest a certain amount of money and buy a certain number of shares in a company. Besides, the App also involves Facebook subscriptions and a SMS-based alert system that informs users where they stand at the moment in respect to the investments they have made and what profitability they can potentially get out of it. For forecasting and prediction purposes, the App uses recent and intermediate momentum strategies, contrarian strategies, trend analysis, moving averages and past trends. These predictions are done on Server side that is hosted on SEECS domain and alerts are then sent to client side. In short, With the help of this trading system, a businessman can perform rapid and profitable investments in minimum time, minimum user involvement and maximum accuracy.