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      Stock Chart Pattern recognition with Deep Learning

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          Abstract

          This study evaluates the performances of CNN and LSTM for recognizing common charts patterns in a stock historical data. It presents two common patterns, the method used to build the training set, the neural networks architectures and the accuracies obtained.

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          Author and article information

          Journal
          01 August 2018
          Article
          1808.00418
          5f7db29e-7620-4164-91bd-25fe5f3f4853

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          cs.LG stat.ML

          Machine learning,Artificial intelligence
          Machine learning, Artificial intelligence

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