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Improving Stock Market Predictions: An Equity Forecasting Scanner Using Long Short-Term Memory Method with Dynamic Indicators for Malaysia Stock Market
15 references·0 citing·47 second hop
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References

  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 2021A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting730 cited
  • 2020Stock Market Prediction Using LSTM Recurrent Neural Network642 cited
  • 2019A systematic review of fundamental and technical analysis of stock market predictions545 cited
  • 2021A Survey of Forex and Stock Price Prediction Using Deep Learning381 cited
  • 2019Technical analysis and sentiment embeddings for market trend prediction293 cited
  • 2021The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction261 cited
  • 2017A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters118 cited
  • 2020The Application of Stock Index Price Prediction with Neural Network101 cited
  • 2017A comprehensive cluster and classification mining procedure for daily stock market return forecasting91 cited
  • 2023Predicting stock market using machine learning: best and accurate way to know future stock prices90 cited
  • 2019Stock Price Prediction using Technical Indicators: A Predictive Model using Optimal Deep Learning68 cited
  • 2018Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding54 cited

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2019
Stock Price Prediction using Technical Indicators: A Predictive Model using Optimal Deep Learning
46 cited
  • 2021LSTM Network for Transportation Mode Detection43 cited
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