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Implementation of Long Short-Term Memory and Gated Recurrent Units on grouped time-series data to predict stock prices accurately
16 references·1 citing·46 second hop
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long short-term memory networks perspective (2020)The role of investor attentio…Stock Market Prediction Using LSTM Recurrent Neural Network (2020)Stock Market Prediction Using…Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Predicting Stock Market Trend…Optimizing LSTM for time series prediction in Indian stock market (2020)Optimizing LSTM for time seri…Mean–variance portfolio optimization using machine learning-based stock price prediction (2020)Mean–variance portfolio optim…Stock closing price prediction based on sentiment analysis and LSTM (2019)Stock closing price predictio…Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series (2019)Improving DWT-RNN model via B…A Novel Approach to Short-Term Stock Price Movement Prediction using Transfer Learning (2019)A Novel Approach to Short-Ter…Replicating a Trading Strategy by Means of LSTM for Financial Industry Applications (2018)Replicating a Trading Strateg…A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM (2018)A New Approach for Stock Pric…Deep Learning Approaches for Potato Price Forecasting: Comparative Analysis of LSTM, Bi-LSTM, and AM-LSTM Models (2024)Deep Learning Approaches for …Investor Sentiment and the Cross‐Section of Stock Returns (2006)Deep learning with long short-term memory networks for financial market predictions (2017)Integración de los mercados financieros Latinoamericanos por medio de MILA (2020)Stock price prediction using deep learning and frequency decomposition (2020)Stock market index prediction using deep Transformer model (2022)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Macroeconomics and Reality (1980)Generalized autoregressive conditional heteroskedasticity (1986)Deep Learning and Technical Analysis in Cryptocurrency Market (2023)Hybrid neural network-based metaheuristics for prediction of financial markets: a case study on global gold market (2023)Financial time series forecasting using independent component analysis and support vector regression (2009)NSE Stock Market Prediction Using Deep-Learning Models (2018)Novel optimization approach for stock price forecasting using multi-layered sequential LSTM (2022)Predicting stock market index using LSTM (2022)A Multi Parameter Forecasting for Stock Time Series Data Using LSTM and Deep Learning Model (2023)Time Series Analysis: Forecasting and Control (1977)Deep Learning for Finance: Deep Portfolios (2016)Stock Price Prediction Using CNN-BiLSTM-Attention Model (2023)TRNN: An efficient time-series recurrent neural network for stock price prediction (2023)Forecasting stock market movement direction with support vector machine (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price 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via double hierarchy linguistic information: Application in robot selection (2023)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)An exploratory data analysis approach for analyzing financial accounting data using machine learning (2023)Financial stock market forecast using evaluated linear regression based machine learning technique (2023)Stock market prediction using artificial intelligence: A systematic review of systematic reviews (2024)
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References

  • 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
  • 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis467 cited
  • 2019Stock closing price prediction based on sentiment analysis and LSTM436 cited
  • 2021A Survey of Forex and Stock Price Prediction Using Deep Learning381 cited
  • 2020Optimizing LSTM for time series prediction in Indian stock market367 cited
  • 2020Mean–variance portfolio optimization using machine learning-based stock price prediction302 cited
  • 2021The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction261 cited
  • 2021Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)134 cited
  • 2020The role of investor attention in predicting stock prices: The long short-term memory networks perspective94 cited
  • 2018Replicating a Trading Strategy by Means of LSTM for Financial Industry Applications91 cited
  • 2018A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM82 cited
  • 2021Stock market prediction with deep learning: The case of China82 cited

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2019
Improving DWT-RNN model via B-spline wavelet multiresolution to forecast a high-frequency time series
76 cited
  • 2019A Novel Approach to Short-Term Stock Price Movement Prediction using Transfer Learning73 cited
  • 2021Stock Market Prediction Using Machine Learning67 cited
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    • 2024Deep Learning Approaches for Potato Price Forecasting: Comparative Analysis of LSTM, Bi-LSTM, and AM-LSTM Models39 cited