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A graph‐based convolutional neural network stock price prediction with leading indicators
15 references·3 citing·37 second hop
A graph‐based convolutional neural network stock price prediction with leading indicators (2020)A graph‐based convolutional neural networ…CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…Deep learning-based feature engineering for stock price movement prediction (2018)Deep learning-based feature e…An innovative neural network approach for stock market prediction (2018)An innovative neural network …Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations (2017)Intraday prediction of Borsa …Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Forecasting daily stock market return using dimensionality reduction (2016)Forecasting daily stock marke…Artificial Neural Networks architectures for stock price prediction: comparisons and applications (2016)Artificial Neural Networks ar…A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…Automated news reading: Stock price prediction based on financial news using context-capturing features (2013)Automated news reading: Stock…Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil (2013)Applying Artificial Neural Ne…An intelligent forecasting system of stock price using neural networks (2003)An intelligent forecasting sy…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…The use of technical analysis in the foreign exchange market (1992)The use of technical analysis…Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition (2023)Intelligent forecasting model…ML-GAT:A Multilevel Graph Attention Model for Stock Prediction (2022)ML-GAT:A Multilevel Graph Att…GCNET: Graph-based prediction of stock price movement using graph convolutional network (2022)GCNET: Graph-based prediction…The General Theory of Employment, Interest and Money. 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this work references cited by second hop

References

  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 1992The use of technical analysis in the foreign exchange market1,071 cited
  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market734 cited
  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables643 cited
  • 2018Deep learning-based feature engineering for stock price movement prediction483 cited
  • 2018An innovative neural network approach for stock market prediction476 cited
  • 2016Forecasting daily stock market return using dimensionality reduction395 cited
  • 2013Automated news reading: Stock price prediction based on financial news using context-capturing features359 cited
  • 2013Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil220 cited
  • 2016Artificial Neural Networks architectures for stock price prediction: comparisons and applications206 cited

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2017
Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations
188 cited
  • 2003An intelligent forecasting system of stock price using neural networks144 cited
  • Cited by

    • 2022GCNET: Graph-based prediction of stock price movement using graph convolutional network59 cited
    • 2022ML-GAT:A Multilevel Graph Attention Model for Stock Prediction57 cited
    • 2023Intelligent forecasting model of stock price using neighborhood rough set and multivariate empirical mode decomposition36 cited