Evaluation Method of Forex Trading Analysis Tool

International Journal of Computer Trends and Technology (IJCTT)          
© - Issue 2012 by IJCTT Journal
Volume-3 Issue-1                           
Year of Publication : 2012
Authors :Ms.Indumathi.A, Ms.Sumathi.A


Ms.Indumathi.A, Ms.Sumathi.A "Evaluation Method of Forex Trading Analysis Tool"International Journal of Computer Trends and Technology (IJCTT),V3(1):35-39 Issue 2012 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract: -— FOREX (Foreign Currency Exchange) is concerned with the exchange rates of foreign currencies compared to one another. These rates provide significant data necessary for currency trading in the international monetary markets. FOREX rates are impacted by a variety of factors including economic and political events, and even the psychological state of individual traders and investors. These factors are correlated highly and interact with one another in a highly complex manner. Those interactions are very unstable, dynamic, and volatile. This complexity makes predicting FOREX changes exceedingly difficult. The people involved in the field of international monetary exchange have searched for explanations of rate changes; thereby, hoping to improve prediction capabilities. It is this ability to correctly predict FOREX rate changes that allows for the maximization of profits. Trading at the right time with the relatively correct strategies can bring large profit, but a trade based on wrong movement can risk big losses. Using the right analytical tool and good methods can reduce the effect of mistakes and also can increase profitability. Data mining involves the use of sophisticated data analysis tools to discover previously unknown, valid patterns and relationships in large data sets. These tools can include statistical models, mathematical algorithms, and machine learning methods. Consequently, data mining consists of more than collecting and managing data, it also includes analysis and prediction.


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Keywords— FOREX, Data mining, Option mining.