Abstract
Through trade, also known as import and export activities, countries around the globe have become more linked and interconnected in today's business world. The exchange rate is critical in allowing a monetary transaction to take place in a structured and coherent manner during a trading period. The support vector machine (SVM) has proven to be a successful method for estimating the financial markets after conducting research on various forecasting methods. In this research, the prediction of exchange rate of USD/AUD and other 59 countries was done. The forecast and analysis of the US dollar against other foreign currencies has been completed. This research has proven that SVM works best for relatively smaller data with respect to its accuracy.
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Patil, N., Masih, S., Rumao, J., Gaurea, V. (2022). Predict Foreign Currency Exchange Rates Using Machine Learning. In: Luhach, A.K., Poonia, R.C., Gao, XZ., Singh Jat, D. (eds) Second International Conference on Sustainable Technologies for Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1235. Springer, Singapore. https://doi.org/10.1007/978-981-16-4641-6_19
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DOI: https://doi.org/10.1007/978-981-16-4641-6_19
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