Implementation of data mining on foreign exchange in monex investindo futures (mif) company
The purpose of this thesis is to make a tool for an application of Data Mining methods to predict foreign exchange. Data mining is a logical process that is used to search through large amounts of information in order to find important data. The goal of make data mining technique is to find patterns that were previously unknown. Once the pattern has found, it can be used to solve some problem or tendencies that often appears in foreign exchange fluctuation. This thesis was carried through according to the data mining concept that mostly used to forecast the rates between American Dollar and others major currencies ( Japanese Yen, British Pound and EURO). This thesis will be done by implementing sort of common statistics method such as Simple Moving Average Exponential Moving Average. Weighted Moving Average. Linear regression. Fibonacci and ARIMA. These varieties of methods can be used to forecast at least the common possibilities that will come up and also could be as barometers for the foreign exchange movement. This tool also made as a helping tool for brokers in Monex Investindo Futures Company to predict or make a decision for the upcoming price of the foreign exchange.",",", No other version available
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