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Indian stock market prediction using artificial neural networks on tick data
Abstract Introduction Nowadays, the most significant challenges in the stock market is to predict the stock prices. The stock price data represents a financial time series data which becomes more difficult to predict due to its characteristics and dynamic nature. Case description Support Vector Mach...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
SpringerOpen
2019-03-01
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| Saila: | Financial Innovation |
| Gaiak: | |
| Sarrera elektronikoa: | http://link.springer.com/article/10.1186/s40854-019-0131-7 |
| Etiketak: |
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