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network without compromising prediction accuracy. We evaluate its performance by predicting the daily volatility and closing … proposed model. Hence, this model can be used as a promising tool for financial forecasting. …
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With the advances in time-series prediction, several recent developments in machine learning have shown that integrating prediction methods into portfolio selection is a great opportunity. In this paper, we propose a novel approach to portfolio formation strategy based on a hybrid machine...
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