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Deep learning for stock market prediction from financial news articles
12 references·16 citing·45 second hop
Deep learning for stock market prediction from financial news articles (2017)Deep learning for stock market prediction…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…Using Structured Events to Predict Stock Price Movement: An Empirical Investigation (2014)Using Structured Events to Pr…Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment (2014)Text mining of news-headlines…Text mining for market prediction: A systematic review (2014)Text mining for market predic…Correlating financial time series with micro-blogging activity (2012)Correlating financial time se…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Stock index forecasting based on a hybrid model (2011)Stock index forecasting based…A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)A novel hybridization of arti…Textual analysis of stock market prediction using breaking financial news (2009)Textual analysis of stock mar…Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support (2002)Forecasting the NYSE composit…A Random Walk Down Wall Street (1973)A Random Walk Down Wall StreetNews-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review (2023)News-based intelligent predic…Machine learning approaches in stock market prediction: A systematic literature review (2023)Machine learning approaches i…StockNet—GRU based stock index prediction (2022)StockNet—GRU based stock inde…Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques (2022)Stock Market Prediction of NI…RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis (2022)RETRACTED ARTICLE: An optimal…S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis (2021)S_I_LSTM: stock price predict…Explainable stock prices prediction from financial news articles using sentiment analysis (2021)Explainable stock prices pred…A systematic review of stock market prediction using machine learning and statistical techniques (2021)A systematic review of stock …A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction (2021)A novel multi-source informat…Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models (2020)Stock Price Prediction Using …Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review (2020)Stock Market Forecasting Usin…Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 (2020)Financial time series forecas…Analysis of look back period for stock price prediction with RNN variants: A case study on banking sector of NEPSE (2020)Analysis of look back period …A time series analysis-based stock price prediction using machine learning and deep learning models (2020)A time series analysis-based …Deep Learning for Stock Market Prediction Using Event Embedding and Technical Indicators (2018)Deep Learning for Stock Marke…Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles (2018)Deep Leaming for Stock Market…Efficient Capital Markets: II (1991)Forecasting with artificial neural networks: (1998)A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets (1999)A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets (2006)A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting (2010)Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil (2013)The Behavior of Stock-Market Prices (1965)Application of support vector machines in financial time series forecasting (2001)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)Applications of deep learning in stock market prediction: Recent progress (2021)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data (2014)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)An optimized model using LSTM network for demand forecasting (2020)Time Series Analysis Forecasting and Control. 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(1985)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)Deep Learning Approach for Short-Term Stock Trends Prediction Based on Two-Stream Gated Recurrent Unit Network (2018)A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Sentiment analysis on social media for stock movement prediction (2015)Temporal Relational Ranking for Stock Prediction (2019)Deep learning for financial applications : A survey (2020)Prospect Theory: An Analysis of Decision under Risk (1979)Prospect theory: An analysis of decision under risk (1988)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016)Text as Data (2019)PORTFOLIO SELECTION* (1952)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)Norm theory: Comparing reality to its alternatives. 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References

  • 2011Twitter mood predicts the stock market5,204 cited
  • 1973A Random Walk Down Wall Street1,743 cited
  • 2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting825 cited
  • 2009Textual analysis of stock market prediction using breaking financial news777 cited
  • 2015Deep learning for event-driven stock prediction675 cited
  • 2014Text mining for market prediction: A systematic review616 cited
  • 2016Computational Intelligence and Financial Markets: A Survey and Future Directions592 cited
  • 2011Stock index forecasting based on a hybrid model377 cited
  • 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation283 cited
  • 2002Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support277 cited
  • 2014Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment276 cited
  • 2012Correlating financial time series with micro-blogging activity274 cited

Cited by

  • 2021A systematic review of stock market prediction using machine learning and statistical techniques208 cited
  • 2020Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review

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186 cited
  • 2023Machine learning approaches in stock market prediction: A systematic literature review174 cited
  • 2020Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models166 cited
  • 2021S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis162 cited
  • 2022RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis162 cited
  • 2023News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review162 cited
  • 2022StockNet—GRU based stock index prediction133 cited
  • 2018Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles119 cited
  • 2021A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction119 cited
  • 2020Financial time series forecasting with deep learning : A systematic literature review: 2005–2019112 cited
  • 2021Explainable stock prices prediction from financial news articles using sentiment analysis112 cited
  • 2020Analysis of look back period for stock price prediction with RNN variants: A case study on banking sector of NEPSE107 cited
  • 2022Stock Market Prediction of NIFTY 50 Index Applying Machine Learning Techniques107 cited
  • 2020A time series analysis-based stock price prediction using machine learning and deep learning models105 cited
  • 2018Deep Learning for Stock Market Prediction Using Event Embedding and Technical Indicators87 cited