Stock price pattern recognition-a recurrent neural network approach

@inproceedings{Kamijo1990StockPP,
  title={Stock price pattern recognition-a recurrent neural network approach},
  author={K. Kamijo and Tohru Tanigawa},
  booktitle={IJCNN},
  year={1990}
}
This study was undertaken to apply recurrent neural networks to the recognition of stock price patterns, and to develop a new method for evaluating the networks. In stock tradings, triangle patterns indicate an important clue to the trend of future change in stock prices, but the patterns are not clearly defined by rule-based approaches. From stock price data for all names of corporations listed in The First Section of Tokyo Stock Exchange, an expert called c h a d reader extracted sixteen… CONTINUE READING
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