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- W2011106911 abstract "The FX (Foreign Exchange) is a form of exchange for the global decentralized trading of international currencies. The simple sense of Forex is simultaneous purchase and sale of the currency or the exchange of one country`s currency for other countries`. We can find the consistent rules of trading by comparing the gradient boosting method and the decision trees methods. Methods such as time series analysis used for the prediction of financial markets have advantage of the long-term forecasting model. On the other hand, it is difficult to reflect the rapidly changing price fluctuations in the short term. Therefore, in this study, gradient boosting method and decision tree method are applied to analyze the short-term data in order to make the rules for the revenue structure of the FX market and evaluated the stability and the prediction of the model." @default.
- W2011106911 created "2016-06-24" @default.
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- W2011106911 date "2013-01-31" @default.
- W2011106911 modified "2023-09-24" @default.
- W2011106911 title "The study of foreign exchange trading revenue model using decision tree and gradient boosting" @default.
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- W2011106911 doi "https://doi.org/10.7465/jkdi.2013.24.1.161" @default.
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