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Leveraging social media news to predict stock index movement using RNN-boost
16 references·14 citing·38 second hop
Leveraging social media news to predict stock index movement using RNN-boost (2018)Leveraging social media news to predict s…Deep learning for event-driven stock prediction (2015)Deep learning for event-drive…Text mining for market prediction: A systematic review (2014)Text mining for market predic…Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Exploiting Topic based Twitter Sentiment for Stock Prediction (2013)Exploiting Topic based Twitte…Efficient or adaptive markets? Evidence from major stock markets using very long run historic data (2013)Efficient or adaptive markets…Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear” (2011)Predicting Stock Market Indic…The myth of the rational market: a history of risk, reward, and delusion on Wall Street (2010)The myth of the rational mark…A neural network ensemble method with jittered training data for time series forecasting (2007)A neural network ensemble met…Stock market prediction with multiple classifiers (2006)Stock market prediction with …Social Mood and Financial Economics (2005)Social Mood and Financial Eco…The Adjustment of Stock Prices to New Information (2003)The Adjustment of Stock Price…Constructivist and Ecological Rationality in Economics (2003)Constructivist and Ecological…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)A Decision-Theoretic Generali…Efficient Capital Markets: II (1991)Efficient Capital Markets: IIThe Adjustment of Stock Prices to New Information (1969)The Adjustment of Stock Price…Brownian Motion in the Stock Market (1959)Brownian Motion in the Stock …Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review (2025)Stock Market Prediction Using…Multi-feature stock price prediction by LSTM networks based on VMD and TMFG (2025)Multi-feature stock price pre…Deep Transformer-Based Asset Price and Direction Prediction (2024)Deep Transformer-Based Asset …A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting (2024)A Deep Learning Based Expert …Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction (2023)Integrated GCN-LSTM stock pri…GRU Neural Network Based on CEEMDAN–Wavelet for Stock Price Prediction (2023)GRU Neural Network Based on C…Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies (2022)Applying attention-based BiLS…A stock price prediction method based on meta-learning and variational mode decomposition (2022)A stock price prediction meth…A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method (2022)A Novel Ensemble Learning App…Stock-Price Forecasting Based on XGBoost and LSTM (2021)Stock-Price Forecasting Based…Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric (2021)Machine learning models predi…Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 (2020)Financial time series forecas…A novel hybrid model based on recurrent neural networks for stock market timing (2020)A novel hybrid model based on…A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning (2020)A hybrid two-stage financial …Generalized autoregressive conditional heteroskedasticity (1986)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Sentiment analysis on social media for stock movement prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)Is All That Talk Just Noise? 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References

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  • 1991Efficient Capital Markets: II5,346 cited
  • 1969The Adjustment of Stock Prices to New Information3,625 cited
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  • 2003Constructivist and Ecological Rationality in Economics961 cited
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  • 2011Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear”643 cited
  • 2014Text mining for market prediction: A systematic review616 cited
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  • 2013Exploiting Topic based Twitter Sentiment for Stock Prediction210 cited
  • 2007A neural network ensemble method with jittered training data for time series forecasting197 cited

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  • 2013Efficient or adaptive markets? Evidence from major stock markets using very long run historic data186 cited
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    • 2020A hybrid two-stage financial stock forecasting algorithm based on clustering and ensemble learning65 cited
    • 2022Applying attention-based BiLSTM and technical indicators in the design and performance analysis of stock trading strategies65 cited
    • 2021Machine learning models predicting returns: why most popular performance metrics are misleading and proposal for an efficient metric65 cited
    • 2023Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction53 cited
    • 2023GRU Neural Network Based on CEEMDAN–Wavelet for Stock Price Prediction51 cited
    • 2025Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review45 cited
    • 2024A Deep Learning Based Expert Framework for Portfolio Prediction and Forecasting44 cited
    • 2025Multi-feature stock price prediction by LSTM networks based on VMD and TMFG41 cited
    • 2020A novel hybrid model based on recurrent neural networks for stock market timing38 cited