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Stock Market Price Prediction Using LSTM RNN
4 references·11 citing·43 second hop
Stock Market Price Prediction Using LSTM RNN (2018)Stock Market Price Prediction Using LSTM …Survey of stock market prediction using machine learning approach (2017)Survey of stock market predic…Deep Learning for Finance: Deep Portfolios (2016)Deep Learning for Finance: De…An SVM-based approach for stock market trend prediction (2013)An SVM-based approach for sto…Stock market prediction using Hidden Markov Models (2012)Stock market prediction using…Performance analysis of neural network architectures for time series forecasting: A comparative study of RNN, LSTM, GRU, and hybrid models (2025)Performance analysis of neura…News-driven stock market index prediction based on trellis network and sentiment attention mechanism (2024)News-driven stock market inde…Feature selection with annealing for forecasting financial time series (2024)Feature selection with anneal…Forecasting and trading credit default swap indices using a deep learning model integrating Merton and LSTMs (2022)Forecasting and trading credi…Combining LSTM and CNN methods and fundamental analysis for stock price trend prediction (2022)Combining LSTM and CNN method…Stock Price Predictions with LSTM Neural Networks and Twitter Sentiment (2021)Stock Price Predictions with …Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction (2021)Jointly modeling transfer lea…Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process (2021)Is Deep-Learning and Natural …An efficient equilibrium optimizer with support vector regression for stock market prediction (2021)An efficient equilibrium opti…COMPARING THE PREDICTION ACCURACY OF LSTM AND ARIMA MODELS FOR TIME-SERIES WITH PERMANENT FLUCTUATION (2020)COMPARING THE PREDICTION ACCU…Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks (2020)Assess deep learning models f…Financial Forecasting Using Support Vector Machines (2001)Stock market trend prediction using ARIMA-based neural networks (2002)Fuzzy portfolio optimization under downside risk measures (2006)A stock market portfolio recommender system based on association rule mining (2012)A Machine Learning Model for Stock Market Prediction (2014)Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators (2018)Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers (2000)Forecasting stock market movement direction with support vector machine (2004)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Forecasting daily stock trend using multi-filter feature selection and deep learning (2020)ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement (2021)Machine learning approaches in stock market prediction: A systematic literature review (2023)A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)Deep learning for financial applications : A survey (2020)Stock Market Prediction Using LSTM Recurrent Neural Network (2020)The Behavior of Stock-Market Prices (1965)Security Analysis and Portfolio Management. 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this work references cited by second hop

References

  • 2016Deep Learning for Finance: Deep Portfolios765 cited
  • 2017Survey of stock market prediction using machine learning approach214 cited
  • 2013An SVM-based approach for stock market trend prediction178 cited
  • 2012Stock market prediction using Hidden Markov Models168 cited

Cited by

  • 2025Performance analysis of neural network architectures for time series forecasting: A comparative study of RNN, LSTM, GRU, and hybrid models129 cited
  • 2021An efficient equilibrium optimizer with support vector regression for stock market prediction66 cited
  • 2021Jointly modeling transfer learning of industrial chain information and deep learning for stock prediction54 cited
  • 2020Assess deep learning models for Egyptian exchange prediction using nonlinear artificial neural networks41 cited
  • 2021Is Deep-Learning and Natural Language Processing Transcending the Financial Forecasting? Investigation Through Lens of News Analytic Process40 cited
  • 2021Stock Price Predictions with LSTM Neural Networks and Twitter Sentiment39 cited
  • 2022Combining LSTM and CNN methods and fundamental analysis for stock price trend prediction36 cited
  • 2024News-driven stock market index prediction based on trellis network and sentiment attention mechanism34 cited
  • 2020COMPARING THE PREDICTION ACCURACY OF LSTM AND ARIMA MODELS FOR TIME-SERIES WITH PERMANENT FLUCTUATION33 cited

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  • 2024Feature selection with annealing for forecasting financial time series32 cited
  • 2022Forecasting and trading credit default swap indices using a deep learning model integrating Merton and LSTMs27 cited