nologies, particularly the Internet, have profoundly changed the dynamics of financial markets. More people are trading online through the Web instead of using full-service brokerages. According to Jupiter Communications, the $415 billion online brokerage assets in 1998 will grow by more than sevenfold to $3 trillion in 2003 [4]. Investors Combining new technology with established financial mar...

Modernization in computers and Machine Learning have created new opportunities for improving the methods involved trading, Changes been noticed parallelly at level of investment decisions, faster executions trades via algorithms. Nowadays 90% are placed by algorithms, to execute a transaction, algorithms that follow trend construct set instructions used algorithmic trading. It executes more pre...

Financial markets are highly complex adaptive systems. This paper deals with the application of simulators in software architectures for back-testing and automating financial market trading strategies. It characterizes traits and problems of algorithmic trading and describes the established use of simulators in back-testing and automated trading. A new approach in the form of a hierarchical sof...

In the age of rapidly evolving computer technology, the trading of securities and commodities, which traditionally has occurred on exchanges and commodity markets, is now also done on electronic systems. The degree of automation varies from system to system.' The speed and degree of automation is largely dependent on historical factors, such as the existence of a highly successful stock exchang...

A key issue in the MDA approach is the transformation of platform independent models to platform specific models. Before transforming to a platform specific model, however, it is necessary to select the appropriate platform. Various platforms exist with different properties and the selection of the appropriate platform for the given application requirements is not trivial. An inappropriate sele...

This paper introduces NEAT-based Evolutionary Computation as the basis for a fully automated trading system application. The system is designed to trade FX markets by detecting profitable currency cycles in the most widely traded currencies and forecasting future exchange rates. To do this, it relies on a fitness function that measures profitability, as well as a fitness function that measures ...

a r t i c l e i n f o The recent proliferation of free trade agreements (FTAs) has resulted in an increasingly complex network of preferential trading relationships. The economics literature has generally examined the formation of FTAs as a function of the participating countries' economic characteristics alone. In this paper, we show both theoretically and empirically that the decision to ente...

In recent years, many brokerage firms and hedge funds use a trading system based on financial engineering and many algorithms. On the other hand, many personal investors judge their trade by their intuition or advices from stock analysts. Therefore, there are a big gap of a trading method between the institutional investors and the personal investors. The objective of this paper is to propose a...

Recent times have seen the rate of adoption of EDI systems decrease significantly. In an attempt to develop widely accessible EDI systems companies are looking to the Internet and emerging standards for data transportation. An XML-based electronic trading system is an example of a system that facilitates Internet-based EDI transactions. The purpose of this research is to investigate the issues ...