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Long‐and‐Short‐Term Memory (LSTM) NetworksArchitectures and Applications in Stock Price Prediction
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References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2008Robust performance hypothesis testing with the Sharpe ratio946 cited
  • 2017Stock market one-day ahead movement prediction using disparate data sources240 cited
  • 2021Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models205 cited
  • 2020Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models166 cited
  • 2020A time series analysis-based stock price prediction using machine learning and deep learning models105 cited
  • 2019Modeling public mood and emotion: Stock market trend prediction with anticipatory computing approach83 cited
  • 2020Robust Analysis of Stock Price Time Series Using CNN and LSTM-Based Deep Learning Models79 cited
  • 2021Stock Price Prediction Using Convolutional Neural Networks on a Multivariate Time Series61 cited
  • 2021Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Models46 cited
  • 2017Assessing the usefulness of online message board mining in automatic stock prediction systems45 cited
  • 2021A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing43 cited
  • 2016Decomposition of Time Series Data of Stock Markets and its Implications for Prediction – An Application for the Indian Auto Sector

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36 cited
  • 2017A Time Series Analysis-Based Forecasting Framework for the Indian Healthcare Sector34 cited
  • 2018Understanding the sectors of Indian economy for portfolio choice33 cited
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