The aim of this study is to design and develop a financial trading expert system. The principal function of this trading expert system is to provide traders the discovery mechanism for system trading that will result in improving the trader's psychology and self-confidence.

This study will help to develop a proactive approach to investing, explaining how to develop an accurate forecasting of the stock market outlook. The key principles of effective trading strategies and its trading analysis approaches are reviewed. It reviews on various well-known financial technical indicators, explaining how these indicators tools are used to maximize stock market profits. The study surveys the various related computerized trading expert systems available in today's market where traders and investors can capitalize on the breadth of available financial information data sources and electronic brokerage services.

The concepts and principles involved in trading expert system development are discussed, including data collection and verification, data processing, stock selection, trade strategy, trade simulation and live trading.

The performance evaluations of the trading results are tested out with different market trends and conditions. The performance measures of how good a trading system works are important in evaluating targets and expectations by comparing various alternative strategies in assessing the system risk and reward ratio.

The study concludes with a discussion of the experiences and lessons learnt in developing the system, highlighting the features of a good design trading system and as well the limitations of the study and providing recommendations for further improvement to the system.

Abstract of FETS ScreenShot