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Stock closing price prediction based on sentiment analysis and LSTM
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Stock closing price prediction based on sentiment analysis and LSTM (2019)Stock closing price prediction based on s…Integración de los mercados financieros Latinoamericanos por medio de MILA (2020)Integración de los mercados f…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)Computational Intelligence an…Deep learning for event-driven stock prediction (2015)Deep learning for event-drive…Investor Sentiment and the Cross‐Section of Stock Returns (2006)Investor Sentiment and the Cr…Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards (2004)Is All That Talk Just Noise? …Market efficiency, long-term returns, and behavioral finance1The comments of Brad Barber, David Hirshleifer, S.P. Kothari, Owen Lamont, Mark Mitchell, Hersh Shefrin, Robert Shiller, Rex Sinquefield, Richard Thaler, Theo Vermaelen, Robert Vishny, Ivo Welch, and a referee have been helpful. Kenneth French and Jay Ritter get special thanks.1 (1998)Market efficiency, long-term …Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators (2023)Transformer-Gated Recurrent U…Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model (2023)Prediction of Complex Stock M…Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)Deep learning models for pric…A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning (2023)A Stock Price Prediction Mode…Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction (2022)Temporal and Heterogeneous Gr…Stock market index prediction using deep Transformer model (2022)Stock market index prediction…RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis (2022)RETRACTED ARTICLE: An optimal…Extending machine learning prediction capabilities by explainable AI in financial time series prediction (2022)Extending machine learning pr…BiCuDNNLSTM-1dCNN — A hybrid deep learning-based predictive model for stock price prediction (2022)BiCuDNNLSTM-1dCNN — A hybrid …Stock-Price Forecasting Based on XGBoost and LSTM (2021)Stock-Price Forecasting Based…Deep long short-term memory based model for agricultural price forecasting (2021)Deep long short-term memory b…A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)A Survey of Forex and Stock P…A Stock Closing Price Prediction Model Based on CNN‐BiSLSTM (2021)A Stock Closing Price Predict…Stock price prediction using deep learning and frequency decomposition (2020)Stock price prediction using …Futures price prediction of agricultural products based on machine learning (2020)Futures price prediction of a…Forecasting stock prices with long-short term memory neural network based on attention mechanism (2020)Forecasting stock prices with…CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)Investor Psychology and Asset Pricing (2001)More Than Words: Quantifying Language to Measure Firms' Fundamentals (2008)Presidential Address: Discount Rates (2011)PORTFOLIO SELECTION* (1952)The Behavior of Stock-Market Prices (1965)Application of support vector machines in financial time series forecasting (2001)Literature review: Machine learning techniques applied to financial market prediction (2019)Machine learning in energy economics and finance: A review (2019)Deep Learning for Stock Market Prediction (2020)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Twitter mood predicts the stock market (2011)NSE Stock Market Prediction Using Deep-Learning Models (2018)Deep learning for financial applications : A survey (2020)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)On Persistence in Mutual Fund Performance (1997)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm (2023)TRNN: An efficient time-series recurrent neural network for stock price prediction (2023)Risk, Return, and Equilibrium: Empirical Tests (1973)Illiquidity and stock returns: cross-section and time-series effects (2002)Noise Trader Risk in Financial Markets (1990)Investor Psychology and Security Market Under‐ and Overreactions (1998)In Search of Attention (2011)The short of it: Investor sentiment and anomalies (2011)Policy Uncertainty and Corporate Investment (2015)Expected stock returns and volatility (1987)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Media Coverage and the Cross‐section of Stock Returns (2009)The Econometrics of Financial Markets (2012)Textual Analysis in Accounting and Finance: A Survey (2016)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Stock market's price movement prediction with LSTM neural networks (2017)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review (2023)The Sharpe Ratio (1994)2013 IEEE International Conference on Big Data (2013)A Stock Price Prediction Method Based on BiLSTM and Improved Transformer (2023)Stock Market Analysis Using Time Series Relational Models for Stock Price Prediction (2023)Data-driven stock forecasting models based on neural networks: A review (2024)
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References

  • 2006Investor Sentiment and the Cross‐Section of Stock Returns6,042 cited
  • 2020Integración de los mercados financieros Latinoamericanos por medio de MILA3,764 cited
  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 1998Market efficiency, long-term returns, and behavioral finance1The comments of Brad Barber, David Hirshleifer, S.P. Kothari, Owen Lamont, Mark Mitchell, Hersh Shefrin, Robert Shiller, Rex Sinquefield, Richard Thaler, Theo Vermaelen, Robert Vishny, Ivo Welch, and a referee have been helpful. Kenneth French and Jay Ritter get special thanks.12,572 cited
  • 2004Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards2,369 cited
  • 2015Deep learning for event-driven stock prediction675 cited
  • 2016Computational Intelligence and Financial Markets: A Survey and Future Directions592 cited

Cited by

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  • 2020Stock price prediction using deep learning and frequency decomposition373 cited
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  • 2020Forecasting stock prices with long-short term memory neural network based on attention mechanism366 cited
  • 2022RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis162 cited
  • 2023Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022

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156 cited
  • 2022BiCuDNNLSTM-1dCNN — A hybrid deep learning-based predictive model for stock price prediction150 cited
  • 2022Temporal and Heterogeneous Graph Neural Network for Financial Time Series Prediction134 cited
  • 2023Prediction of Complex Stock Market Data Using an Improved Hybrid EMD-LSTM Model133 cited
  • 2021Stock-Price Forecasting Based on XGBoost and LSTM100 cited
  • 2023A Stock Price Prediction Model Based on Investor Sentiment and Optimized Deep Learning100 cited
  • 2021Deep long short-term memory based model for agricultural price forecasting88 cited
  • 2020Futures price prediction of agricultural products based on machine learning77 cited
  • 2022Extending machine learning prediction capabilities by explainable AI in financial time series prediction73 cited
  • 2023Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators73 cited
  • 2021A Stock Closing Price Prediction Model Based on CNN‐BiSLSTM72 cited