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CNNPred: CNN-based stock market prediction using several data sources
[article]
2018
arXiv
pre-print
Feature extraction from financial data is one of the most important problems in market prediction domain for which many approaches have been suggested. Among other modern tools, convolutional neural networks (CNN) have recently been applied for automatic feature selection and market prediction. However, in experiments reported so far, less attention has been paid to the correlation among different markets as a possible source of information for extracting features. In this paper, we suggest a
arXiv:1810.08923v1
fatcat:kgoctr7p6fhylmlwxd35ipzaxa