Forecasting Changes in Stock Prices on the Basis of Patterns Identified with the Use of Data Classification Methods
The paper develops the concept of harnessing data classification methods to recognize patterns in stock prices. The author defines a formation as a pattern vector describing the financial instrument. Elements of such a vector can be related to the stock price as well as sales volume and other charac...
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| Format: | Article |
| Language: | English |
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Sciendo
2014-06-01
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| Series: | Folia Oeconomica Stetinensia |
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| Online Access: | https://doi.org/10.2478/foli-2014-0101 |