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Investigating the informativeness of technical indicators and news sentiment in financial market price prediction
16 references·4 citing·50 second hop
Investigating the informativeness of technical indicators and news sentiment in financial market price prediction (2022)Investigating the informativeness of tech…Applications of deep learning in stock market prediction: Recent progress (2021)Applications of deep learning…A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions (2021)A comprehensive survey on dee…Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong (2020)Incorporating stock prices an…Technical analysis and sentiment embeddings for market trend prediction (2019)Technical analysis and sentim…Stock Market Prediction Based on Generative Adversarial Network (2019)Stock Market Prediction Based…Natural language based financial forecasting: a survey (2017)Natural language based financ…The effect of news and public mood on stock movements (2014)The effect of news and public…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…Measuring Readability in Financial Disclosures (2014)Measuring Readability in Fina…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear” (2011)Predicting Stock Market Indic…Event Studies in Economics and Finance (1997)Event Studies in Economics an…Testing for causality (1980)Testing for causalityStock Prices and the Publication of Second-Hand Information (1978)Stock Prices and the Publicat…A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices (1973)A Subordinated Stochastic Pro…The Behavior of Stock-Market Prices (1965)The Behavior of Stock-Market …Enhancing financial time series forecasting with hybrid Deep Learning: CEEMDAN-Informer-LSTM model (2025)Enhancing financial time seri…Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition (2023)Multi-step-ahead stock price …An end-to-end deep learning model for solving data-driven newsvendor problem with accessibility to textual review data (2023)An end-to-end deep learning m…Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms (2022)Factors affecting text mining…Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Time Series Analysis Forecasting and Control. 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References

  • 1965The Behavior of Stock-Market Prices8,707 cited
  • 2011Twitter mood predicts the stock market5,204 cited
  • 1997Event Studies in Economics and Finance4,623 cited
  • 1973A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices2,781 cited
  • 1980Testing for causality1,747 cited
  • 2014Measuring Readability in Financial Disclosures1,452 cited
  • 2021Applications of deep learning in stock market prediction: Recent progress725 cited
  • 2011Predicting Stock Market Indicators Through Twitter “I hope it is not as bad as I fear”643 cited
  • 2017Natural language based financial forecasting: a survey399 cited
  • 2020Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong370 cited
  • 2019Stock Market Prediction Based on Generative Adversarial Network313 cited
  • 2019Technical analysis and sentiment embeddings for market trend prediction293 cited
  • 1978Stock Prices and the Publication of Second-Hand Information279 cited
  • 2014Text mining of news-headlines for FOREX market prediction: A Multi-layer Dimension Reduction Algorithm with semantics and sentiment276 cited
  • 2014The effect of news and public mood on stock movements

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255 cited
  • 2021A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions232 cited
  • Cited by

    • 2023Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition78 cited
    • 2022Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms58 cited
    • 2025Enhancing financial time series forecasting with hybrid Deep Learning: CEEMDAN-Informer-LSTM model40 cited
    • 2023An end-to-end deep learning model for solving data-driven newsvendor problem with accessibility to textual review data20 cited