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Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators
15 references·2 citing·52 second hop
Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators (2023)Transformer-Gated Recurrent Unit Method f…Stock Prediction Based on Optimized LSTM and GRU Models (2021)Stock Prediction Based on Opt…Prediction of stock values changes using sentiment analysis of stock news headlines (2021)Prediction of stock values ch…Harvesting social media sentiment analysis to enhance stock market prediction using deep learning (2021)Harvesting social media senti…A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)A hybrid model integrating de…Stock price forecast based on combined model of ARI-MA-LS-SVM (2020)Stock price forecast based on…Prediction model for stock price trend based on recurrent neural network (2020)Prediction model for stock pr…Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane (2020)Predicting stock price trends…Integrated Long-Term Stock Selection Models Based on Feature Selection and Machine Learning Algorithms for China Stock Market (2020)Integrated Long-Term Stock Se…An improved deep learning model for predicting stock market price time series (2020)An improved deep learning mod…A CNN-BiLSTM-AM method for stock price prediction (2020)A CNN-BiLSTM-AM method for st…The relationship between twitter and stock prices. Evidence from the US technology industry (2019)The relationship between twit…Stock closing price prediction based on sentiment analysis and LSTM (2019)Stock closing price predictio…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Current Market Top Business Scopes Trend—A Concurrent Text and Time Series Active Learning Study of NASDAQ and NYSE Stocks from 2012 to 2017 (2018)Current Market Top Business S…A hybrid ARIMA and support vector machines model in stock price forecasting (2004)A hybrid ARIMA and support ve…Helformer: an attention-based deep learning model for cryptocurrency price forecasting (2025)Helformer: an attention-based…A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach (2024)A bibliometric literature rev…Time Series Analysis Forecasting and Control. 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References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
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  • 2019Stock closing price prediction based on sentiment analysis and LSTM436 cited
  • 2021A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction364 cited
  • 2020An improved deep learning model for predicting stock market price time series173 cited
  • 2021Stock Prediction Based on Optimized LSTM and GRU Models168 cited
  • 2021Harvesting social media sentiment analysis to enhance stock market prediction using deep learning164 cited
  • 2020Integrated Long-Term Stock Selection Models Based on Feature Selection and Machine Learning Algorithms for China Stock Market158 cited
  • 2020Prediction model for stock price trend based on recurrent neural network142 cited
  • 2020Stock price forecast based on combined model of ARI-MA-LS-SVM125 cited
  • 2020Predicting stock price trends based on financial news articles and using a novel twin support vector machine with fuzzy hyperplane96 cited
  • 2021Prediction of stock values changes using sentiment analysis of stock news headlines92 cited
  • 2019The relationship between twitter and stock prices. Evidence from the US technology industry

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59 cited
  • 2018Current Market Top Business Scopes Trend—A Concurrent Text and Time Series Active Learning Study of NASDAQ and NYSE Stocks from 2012 to 20176 cited
  • Cited by

    • 2025Helformer: an attention-based deep learning model for cryptocurrency price forecasting53 cited
    • 2024A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach41 cited