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- W3044084559 abstract "Support Vector Machine (SVM) is a well established technique within machine learning. Over the last years, Support Vector Machines have been used across a wide range of applications. In this paper, we investigate stock prices forecasting by using a support vector machine. Forecasting of stock prices is one of the most challenging areas of research and practice in finance. As input parameters to the SVM we utilize some well-known stock technical indicators and macroeconomic variables. For evaluating the forecasting ability of SVM, we compare the results obtained by the proposed model with the actual stocks movements for a number of constituents of FTSE-100 in London." @default.
- W3044084559 created "2020-07-29" @default.
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- W3044084559 date "2020-01-01" @default.
- W3044084559 modified "2023-10-18" @default.
- W3044084559 title "Stock Market Forecasting by Using Support Vector Machines" @default.
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- W3044084559 doi "https://doi.org/10.1007/978-3-030-49724-8_11" @default.
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