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Study of Stock Return Predictions Using Recurrent Neural Networks with LSTM
12 references·3 citing·53 second hop
Study of Stock Return Predictions Using Recurrent Neural Networks with LSTM (2019)Study of Stock Return Predictions Using R…Mean-semivariance portfolio optimization with multiobjective evolutionary algorithms and technical analysis rules (2017)Mean-semivariance portfolio o…Improving stock index forecasts by using a new weighted fuzzy-trend time series method (2017)Improving stock index forecas…Generalized exponential moving average (EMA) model with particle filtering and anomaly detection (2016)Generalized exponential movin…Forecasting daily stock market return using dimensionality reduction (2016)Forecasting daily stock marke…Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market (2016)Application of artificial neu…An intelligent short term stock trading fuzzy system for assisting investors in portfolio management (2015)An intelligent short term sto…Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network (2013)Stock Market Prediction Using…Quantifying Trading Behavior in Financial Markets Using Google Trends (2013)Quantifying Trading Behavior …A Bayesian regularized artificial neural network for stock market forecasting (2013)A Bayesian regularized artifi…Predicting stock returns by classifier ensembles (2010)Predicting stock returns by c…Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Combining multiple feature se…Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Stock market prediction of S&…Predicting Stock Closing Prices in Emerging Markets with Transformer Neural Networks: The Saudi Stock Exchange Case (2021)Predicting Stock Closing Pric…Machine Learning Based Stock Market Analysis: A Short Survey (2020)Machine Learning Based Stock …COMPARING THE PREDICTION 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References

  • 2013Quantifying Trading Behavior in Financial Markets Using Google Trends947 cited
  • 2013A Bayesian regularized artificial neural network for stock market forecasting517 cited
  • 2008Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network423 cited
  • 2016Forecasting daily stock market return using dimensionality reduction395 cited
  • 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches378 cited
  • 2016Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market230 cited
  • 2010Predicting stock returns by classifier ensembles169 cited
  • 2017Mean-semivariance portfolio optimization with multiobjective evolutionary algorithms and technical analysis rules108 cited
  • 2015An intelligent short term stock trading fuzzy system for assisting investors in portfolio management105 cited
  • 2016Generalized exponential moving average (EMA) model with particle filtering and anomaly detection91 cited
  • 2017Improving stock index forecasts by using a new weighted fuzzy-trend time series method77 cited
  • 2013Stock Market Prediction Using a Combination of Stepwise Regression Analysis, Differential Evolution-based Fuzzy Clustering, and a Fuzzy Inference Neural Network51 cited

Cited by

  • 2020Machine Learning Based Stock Market Analysis: A Short Survey

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35 cited
  • 2020COMPARING THE PREDICTION ACCURACY OF LSTM AND ARIMA MODELS FOR TIME-SERIES WITH PERMANENT FLUCTUATION33 cited
  • 2021Predicting Stock Closing Prices in Emerging Markets with Transformer Neural Networks: The Saudi Stock Exchange Case32 cited